Authors: Revika Singh Yvonne Curran Brigid Ferguson Annie Wescott Keion Heydarpour Isabella Taylor Flerlage Rayan Virani Lynn M. Yee Farzaneh A. Sorond Dilip K. Pandey Philip B. Gorelick
Pregnancy involves major cardiovascular adaptations, yet its long-term impact on maternal brain health remains poorly understood. The American Heart Association’s Life’s Simple 7 (LS7) and Life’s Essential 8 (LE8) are validated tools to assess cardiovascular and brain health, but their use in obstetric populations is limited. Following PRISMA-ScR guidelines, we searched three databases (2010–2024) for studies assessing ≥ 1 LS7/LE8 component during pregnancy with mid- or later-life cognitive or dementia outcomes; narrative synthesis and meta-analyses were conducted where feasible. Of 3940 screened abstracts, 30 studies met the inclusion criteria. Most examined hypertensive disorders of pregnancy (HDP), few assessed diabetes independently, and none evaluated the full LS7/LE8 construct. Meta-analyses showed that HDP was associated with increased risk of all-cause dementia (HR 1.34; 95% CI 1.11–1.62) and vascular dementia (HR 1.76; 95% CI 1.03–3.00; n = 3 studies), but not Alzheimer’s disease (HR 1.22; 95% CI 0.96–1.56). Although LS7/LE8 are established frameworks for cardiovascular and brain health, their application during pregnancy remains limited. Integrating LE8 into obstetric care may enable earlier identification of individuals at risk for later-life cognitive decline and inform strategies to promote maternal brain health across the lifespan.
]]>Authors: Vesna Antunović Željka Marjanović-Balaban Žarko Gagić Nebojša Kladar Vesna Gojković Cvjetković Vesna Kalaba Dragica Đurđević-Milošević
Lavandula angustifolia essential oil (LEO) was obtained by hydrodistillation of air-dried flowers collected in the Mostar region (Bosnia and Herzegovina). Its chemical composition was analyzed by gas chromatography-mass spectrometry, revealing a camphor content of 16.96%, substantially higher than the maximum value specified in the European Pharmacopoeia. Antimicrobial activity was evaluated using quantitative suspension tests according to EN 1276 and EN 1650 under simulated “dirty” conditions with organic load (bovine albumin, 3 g/L) and a 5 min contact time. High-concentration LEO (80% w/v) exhibited strong bactericidal activity against Escherichia coli ATCC 10536 and Staphylococcus aureus ATCC 6538, and yeasticidal activity against Candida albicans ATCC 10231 (>5 log10 CFU/mL reduction for bacteria, >4 log10 CFU/mL reduction for yeast), but was ineffective against Pseudomonas aeruginosa ATCC 15442 and Enterococcus hirae ATCC 10541. Lower concentrations (1.0% and 0.1% w/v) showed no bactericidal and yeasticidal activity, highlighting LEO’s efficacy limits. Antioxidant activity, assessed by DPPH radical scavenging, was dose- and time-dependent. Molecular docking provided insight into the interaction of major constituents with selected microbial and antioxidant-related targets. These findings highlight both the potential and limitations of LEO as a renewable bio-based resource for sustainable disinfectant formulations while emphasizing the importance of chemical composition and regulatory compliance.
]]>Authors: Francesco Stella Alessandro Sapienza Rino Falcone
Autonomy and trust are central concepts in sociology and psychology and are particularly relevant to the study of hybrid societies in which human and artificial agents interact. Trust is essential for effective collaboration across a wide range of contexts, and the benefits of interacting with autonomous agents for facilitating goal achievement are well established. However, the complex interplay between trust and autonomy remains insufficiently understood, especially in sensitive domains such as healthcare, where ethical values, patient safety, and inter-agent dependencies must be carefully managed. In this work, we employ a multi-agent simulation to investigate the roles of autonomy and trust in relation to patient satisfaction. Our results show that higher levels of autonomy—enabling agents to modify delegations and exploit dependencies—effectively support implicit goal discovery and can enhance explicit goal achievement. Nevertheless, such autonomy may be detrimental compared to lower levels of autonomy that only allow dependency exploitation. This effect is particularly evident in contexts with large pools of partners who lack sufficient competence but are willing to accept multiple concurrent delegations. Conversely, in environments characterized by heterogeneous trustworthiness, higher autonomy proves advantageous, as it enables agents to more effectively discover and leverage dependencies.
]]>Authors: Humberto Pereira Ana Picado Ines Alvarez Magda C. Sousa Ana C. Brito David Carvalho João M. Dias
Most Portuguese aquaculture farms are located in estuaries and coastal lagoons, which are highly productive, nutrient-rich transition zones that are also among the most vulnerable to anthropogenic pressures and climate change. This study assesses Ria Formosa’s suitability for grooved carpet shell (Ruditapes decussatus) aquaculture, accounting for projected climate change and a potential increase in clam farming production. The methodology involved implementing a numerical modeling system to map key physico-chemical variables under historical (1995–2014) and future (2081–2100) conditions. Model outputs were then used to compute a suitability index (SI), which was converted into aquaculture suitability maps for this species. Results indicate that the hydrodynamic and transport components reproduced tidal propagation and the transport of salinity and heat effectively. In contrast, simulations of water quality variables were less accurate, reflecting the greater complexity and uncertainty in representing biochemical processes. Across both time periods, environmental conditions were generally less favorable in winter and more favorable in spring. Water temperature and chlorophyll-a concentration emerged as the dominant drivers of seasonal suitability. Projections suggest that Ria Formosa may become increasingly suitable for grooved carpet shell aquaculture by the end of the century. However, expanding production could compromise ecological balance, reduce resilience, and constrain the system’s long-term sustainable development.
]]>Authors: Ana Marošević Dolovski Katarina Itrić Ivanda Rahela Kulčar Marina Vukoje Bezjak
The increasing use of pressure-sensitive labels (PSLs), driven by growth in the packaging sector, raises concerns regarding material consumption and end-of-life management under evolving European packaging regulations. This study investigates the biodegradation potential of sustainable PSL facestocks produced from 15% agro-industrial by-products, 40% post-consumer recycled fibers, and 45% virgin wood pulp. Their biodegradation behavior was compared with bio-based polyethylene (PE) facestocks using laboratory-scale aerobic soil burial tests conducted for up to 28 days. Biodegradation was assessed through weight loss measurements, visual evaluation, Fourier transform infrared (FTIR) spectroscopy, and fluorescence analysis. Fiber-based facestocks exhibited significant degradation, reaching approximately 50–55% weight loss after 28 days, accompanied by structural changes in the cellulose matrix and reduced fluorescence intensity. In contrast, bio-based polyethylene facestocks showed negligible weight loss and only minor spectroscopic changes, indicating high stability under the tested conditions. The results demonstrate that fiber-based samples derived from agro-industrial and recycled sources possess substantially higher biodegradation potential than bio-based polymeric alternatives. These findings support the use of fiber-based PSL facestocks in applications requiring improved environmental compatibility.
]]>Authors: Ana Gamkrelidze Violeta Berikashvili Tinatin Kachlishvili Nina Kulikova Vladimir Elisashvili Olga Bragina Maria Kulp Mikheil Asatiani
Natural antioxidants are essential for protecting the body against oxidative stress and exhibit a wide range of biological activities. In this context, forty extracts derived from ten submerged cultivated mushroom species were analyzed for their mycochemical composition, antioxidant capacity, and cytotoxic effects against MCF7 breast cancer cells. Qualitative and quantitative screening revealed that, among the detected classes of bioactive compounds, the extracts were predominantly enriched in flavonoids, terpenoids, and phenolic constituents. Considerable variation was observed in the levels of total phenolics, flavonoids, and ascorbic acid among different species and solvent extracts. The highest total phenolic contents were detected in ethanol and ethyl acetate extracts of G. frondosa (110.0 ± 6.4, 227.6 ± 14.2, and 160.5 ± 5.3 mg GAE/g), while the water extract of F. velutipes also exhibited elevated phenolic levels (119.2 ± 6.5 mg GAE/g). Flavonoid concentrations ranged from 102.5 ± 10.5 to 359.9 ± 2.5 mg QE/g in biomass and culture liquid extracts obtained with organic solvents. Ascorbic acid content was generally highest in ethyl acetate culture liquid extracts, suggesting solvent-dependent enrichment of antioxidant metabolites. Free radical scavenging activity increased in a concentration-dependent manner, reaching inhibition values more than 90% at 20 mg/mL in all tested mushrooms. Cytotoxicity assays demonstrated that extract type, solvent, and incubation time strongly influenced the inhibition of MCF7 cell viability. Ethyl acetate extracts from H. erinaceus, P. ostreatus, T. versicolor, and T. pubescens exhibited the strongest cytotoxic effects, reducing cell viability by up to 70% at higher concentrations. The results demonstrate that mushroom extracts, particularly ethyl acetate extracts, possess significant antioxidant and cytotoxic activities. These findings highlight their potential as promising natural sources of medicinal bioactive compounds for antioxidant and anticancer applications.
]]>Authors: Evgeniya Ishchukova Sergei Petrenko Alexey Petrenko Artyom Balyabin Alexey Nekrasov
This article proposes a mathematical model for quantitatively assessing the cyber resilience of modern blockchain platforms. Constructing the mathematical model, the authors proposed representing the architecture of a blockchain-based information system as four layers: the cryptographic algorithm layer, the blockchain core layer, the smart contract layer, and the decentralized application layer. A study of typical vulnerabilities was conducted for each layer, and a list of countermeasures to counter potential threats was proposed. Then, key elements and their impact on the system’s cyber resilience were identified. As a result, a mathematical model for assessing the cyber resilience of blockchain platforms was developed. Based on the analysis of the model, it was experimentally demonstrated that a cyber attack carried out at a lower layer affects all higher layers of the blockchain platform, and cyber resilience at the current layer can only be effectively ensured if it is ensured at the previous layer.
]]>Authors: Teodora Lukavski Iva Šarčević Marina Vukoje Bezjak
This study investigates the influence of extraction method and solvent on the UV spectral characteristics of extracts obtained from selected agro-industrial waste materials. Conventional maceration and ultrasound-assisted extraction (UAE) were applied using distilled water and 70% (v/v) ethanol as solvents. The analyzed materials included spent coffee grounds, orange peel, rosehip, milk thistle, eucalyptus leaves, and chili pepper. UV spectrophotometric analysis (190–400 nm) was used to compare the absorption profiles of the obtained extracts and to evaluate the effect of extraction conditions on spectral features. The results showed that both solvent type and extraction technique significantly influenced the intensity and shape of the absorption spectra. Ethanol generally resulted in higher absorbance values and more defined spectral features in the 250–350 nm region, while aqueous extracts exhibited stronger absorption in the lower UV range. Overall, UV spectroscopy proved to be a rapid and effective screening tool for evaluating extraction performance and comparing spectral characteristics of complex plant extracts, supporting the valorization of agro-industrial waste. Total phenolic content (TPC) was additionally determined to support the evaluation of extraction efficiency.
]]>Authors: Claus Jacob
Artificial Intelligence (AI) is rapidly changing the format, style and content of scientific publishing. Traditional reviews are likely to give way to more personalized, AI-generated literature surveys on the one hand and more innovative, perhaps even controversial hypothesis, opinion or essay-style contributions on the other. Original publications based on experimental data are still less affected even if AI teams up with robots. Eventually, science and scientific publishing are social activities and although the AI-driven tools and technologies at hand may accelerate and also refine scientific publishing, scientists, as always, are well equipped to adapt and to turn these challenges into new opportunities, for instance in handling, processing and illustrating experimental data.
]]>Authors: Kimberly López Cedeño Juan Antonio Torres-Rodriguez Juan José Reyes Pérez Danna Castillo Alex Leonel Cañar Rivas Jorge Alberto Alejandre Rosas Alejandra Alvarado Mávil Gerardo Zapata-Sifuentes
Developing plant-based weed-management tools from allelopathy requires evidence that phytotoxicity is both chemically supported and biologically reproducible. This study examined whether the allelopathic activity of Clitoria ternatea L. varies among leaves, stems, and a leaf + stem mixture, and whether such variation is associated with organ-specific chemical traits. Hydroethanolic extracts were characterized by histochemical, phytochemical, and thin-layer chromatographic analyses and tested in vitro on Lactuca sativa L. at 75, 150, and 300 mg L−1. All matrices contained phenols/tannins, flavonoids, and triterpenes/sterols; however, the leaf extract showed the strongest coumarin signal, the presence of saponins, and the richest TLC pattern. These chemical differences were matched by a clear biological gradient, with inhibitory activity ranked as leaf > leaf + stem > stem. At 300 mg L−1, the leaf extract reduced germination to 71%, radicle length to 10.23 mm, and vigor index to 1372, while increasing mean germination time to 5.78 days and yielding the most negative allelopathic response index (−0.663). Overall, the results identify leaves as the main reservoir of phytotoxic metabolites in C. ternatea and support their prospective use in botanical weed-management research.
]]>Authors: Rui Reis Francisca Aroso Aires Camões Filipe Brandão Bruno Figueiredo Paulo J. S. Cruz
3D Concrete Printing (3DCP) is increasingly explored as a digital fabrication technology offering design freedom, automation, and material efficiency. Nevertheless, its application in reinforced and long-life structures remains limited by insufficient understanding and poor comparability of durability performance, as previous reviews have not systematically linked methodologies to transport-related results. This study presents a systematic and critical review of carbonation and chloride ingress in 3DCP cementitious materials, conducted in accordance with the PRISMA methodology. Following a structured database search and two-stage screening process, the selected studies are subjected to qualitative analysis. Experimental methodologies, specimen typologies, exposure conditions, and attack directions are compiled and qualitatively compared. The review highlights pronounced methodological heterogeneity and frequent under-reporting of key parameters, particularly attack direction, sealing conditions, CO2 concentration, and indicator methods, limiting cross-study comparison. Despite these limitations, consistent qualitative trends are identified. Printed specimens generally exhibit inferior durability performance than cast specimens, while cold joints are associated with increased penetration depth and result dispersion. Directional effects are non-negligible, although they are systematically addressed in only a limited number of studies. Overall, the findings emphasise the critical role of process-induced features and the need for harmonised testing methods to enable reliable durability assessment.
]]>Authors: Laura Marinela Ailioaie Gerhard Litscher Constantin Ailioaie
Laser acupuncture (LA) integrates principles of traditional acupuncture with photobiomodulation (PBM) and has gained increasing attention as a non-invasive modality for pain management. PBM-based integrative LA in medicine refers to the application of low-level laser irradiation to acupuncture points, combining contemporary biomedical mechanisms with holistic, system-oriented therapeutic principles. This narrative review aimed to critically assess the scientific evidence on the efficacy of LA for pain management within the framework of the Principles of Clinical Integration of Photobiomodulation (PCIPBM) in LA, summarizing frequently used laser parameters and clinical indications. LA involves special protocols in standardized acupoints, using defined parameters of wavelength, irradiation, and energy density, consistent with PBM dosing principles. Therapeutic effects are mediated through point-specific neuromodulation and photobiological mechanisms, including modulation of peripheral and central nociceptive processing, reduction in pro-inflammatory mediators, improvement of microcirculation, and mitochondrial activation via cytochrome c oxidase-dependent adenosine triphosphate (ATP) synthesis. Clinical studies report statistically and clinically significant analgesic effects, particularly in chronic musculoskeletal pain, osteoarthritis, low back and neck pain, temporomandibular disorders, neuropathic pain, and selected postoperative pain conditions, when appropriate laser parameters are applied. Reported adverse effects are minimal, and tolerability is high. LA represents a safe, non-invasive therapeutic option and patient-friendly approach with clinically relevant efficacy in pain management. When applied according to PCIPBM, including evidence-based PBM parameters, it may serve as an effective adjunct or alternative to conventional pharmacologic and interventional approaches. Further standardization and high-quality randomized controlled trials are still required.
]]>Authors: Andra Oros Valentina Coatu Nicoleta Damir Diana Danilov Elena Ristea Luminita Lazar
Climate change is modifying the physical structure and biogeochemical functioning of stratified marine systems, with important consequences for trace element (TE) transport, speciation, and exposure. The Black Sea provides a structurally amplified case because restricted exchange, persistent stratification, a basin-scale redoxcline, and extensive shelf-sediment reservoirs intensify climate–contaminant interactions. This review synthesizes mechanistic evidence to develop a climate-informed interpretive framework for TE redistribution under non-stationary environmental forcing. We examine how warming, deoxygenation, hydrological variability, sediment resuspension, acidification, and episodic events alter TE partitioning across dissolved, particulate, sedimentary, and biotic compartments. The synthesis identifies six major redistribution pathways involving surface-layer retention, river plume and suspended particulate transport, shelf-sediment remobilization, redoxcline dynamics, acidification–ligand effects, and event-driven exposure pulses. Together, these processes show that TE patterns increasingly reflect state-dependent internal redistribution rather than external loading alone. To address this shift, we propose a monitoring and risk-interpretation framework that links climate-sensitive state variables to redistribution pathways, integrates multiple matrices, and supports adaptive assessment through trigger-based monitoring escalation. The Black Sea is treated as a structurally amplified reference system for examining climate-sensitive redistribution pathways in stratified basins, although their expression and relative importance remain dependent on basin-specific structural controls.
]]>Authors: Sergio Guzmán-Rodríguez Judith Nwaiwu Cristian D. Gutiérrez-Reyes Ricardo Romero-Guevara Jesús Chávez-Reyes Favour Chukwubueze Oluwatosin Daramola Tuli Bhattacharjee Yehia Mechref Bruno Antonio Marichal-Cancino
Eating behavior requires a balance between metabolic and hedonic components. Anxiety and dietary type may influence the quantity, patterns, and other aspects of food intake. Modern diets, especially in Western societies, often contain high levels of calories from fat and simple sugars (e.g., cafeteria-style diets). This type of diet may promote overweight and/or obesity in some, although many consumers remain at a normal weight. The mechanisms underlying susceptibility or resistance to weight gain remain unclear. Here, Sprague-Dawley male rats were fed a cafeteria diet for 10 weeks and then classified into quartiles based on body mass. We evaluated locomotor activity and anxiety-like behaviors and analyzed hypothalamic proteomics in overweight (Q4) rats compared with underweight (Q1) rats. Our results showed that locomotor activity and anxiety-like behaviors did not differ across quartiles (p > 0.05). Nevertheless, the expression of several hypothalamic proteins differed between Q4 and Q1 rats. Functional enrichment analysis of these differentially expressed proteins (p ≤ 0.05) revealed changes in cytoskeleton dynamics, synaptic communication, energy production and utilization, biosynthesis of cellular components (including nucleotides and carbohydrates), and regulation of metabolism between Q1 and Q4 rats. Neuro-humoral hypothalamic output regulates metabolism and food intake. Therefore, these functional changes in the hypothalamus may be associated with rats’ susceptibility/resistance to weight gain.
]]>Authors: Sarah Zellnitz-Neugebauer Eleonore Fröhlich
This review summarizes innovative co-formulation strategies for non-marketed dry powder inhalers (DPIs), enabling the simultaneous pulmonary delivery of multiple active pharmaceutical ingredients (APIs). Key approaches include co-amorphous systems (COAMS) and co-crystals, which combine two APIs into a single particle, improving aerodynamic properties, solubility, dissolution, and patient compliance while reducing manufacturing complexity. Core–shell microparticles, produced via spray drying, allow spatial separation and controlled release of APIs, minimizing drug–drug interactions and enabling tailored pharmacokinetics. Co-spray drying of dual APIs can yield particles with superior aerosolization and stability, though examples remain limited. Nanoparticle-based systems offer enhanced lung deposition and cellular uptake but face challenges in device compatibility, scalability, and regulatory approval. Each technology presents unique advantages and limitations regarding manufacturability, dose flexibility, and clinical translation. This review also highlights advances in in vitro toxicity testing, including air–liquid interface cultures, organoids, lung-on-chip models, and precision-cut lung slices, which are increasingly important as alternatives to animal studies. The importance of using an aerosol exposure system for the testing is highlighted. Ultimately, the choice of co-formulation platform should balance scientific innovation with practical considerations of manufacturing and regulatory requirements to maximize therapeutic benefit and commercial viability for future DPI combination products.
]]>Authors: Andrey I. Sidyakin Ayrat R. Gafurov Anastasiya I. Bilyk Anna V. Kamyshnikova Alexey N. Gusev
Viral infections of grapevines reduce plantation productivity and planting material quality, necessitating the development of effective sanitization methods and comprehensive systems for monitoring plant physiological status. This study conducted a comprehensive analysis of the physiological–biochemical status of grapevine microplants (morphometric parameters, activity of key antioxidant enzymes, dehydrogenase activity, pigment composition, and relative copy number of mitochondrial and chloroplast DNA) in microclones of the rootstock Vitis riparia × Vitis berlandieri ‘Kober 5 BB’ in vitro, depending on the presence of viral infection and sanitization using thermo- and cryotherapy. Four plant variants were investigated: healthy (VIRUS FREE), infected (VIRUS), sanitized via thermotherapy (V.F.T.), and cryotherapy (V.F.K.). It was shown that, despite the absence of pronounced suppression of morphometric parameters, viral infection causes a significant increase in total protein content, catalase, polyphenol oxidase, and total dehydrogenase activity in tissues, as well as pigment imbalance (changes in the chlorophyll coefficient) and modulation of the carotenoid profile, along with alterations in the relative copy number of mitochondrial and chloroplast DNA. The relative copy number of mitochondrial and chloroplast DNA decreased in infected plants and was restored to a greater extent after cryotherapy rather than after thermotherapy. The results indicate the formation of stress-related changes (stress imprint) that persist in sanitized microclones and can serve as a multilevel marker system for assessing sanitization efficacy and monitoring the physiological status of grapevine microplants in vitro.
]]>Authors: Ashan Milinda Bandara Ratnayake Hazwani Suhaimi Pg Emeroylariffion Abas
Beekeeping is a profitable and mind-relaxing practice; however, monitoring beehives poses significant challenges, such as consuming time and potentially disturbing hive equilibrium, which may lead to colony collapse. Developing precision beekeeping (PB) systems is crucial to assist beekeepers in decision-making, automate redundant hive maintenance, and enhance the security and comfort of bee life. This review systematically explores research on PB systems, based on a keyword-driven search of Scopus and Web of Science databases, yielding 46 relevant publications. The analysis highlights a notable increase in research activity in the field since 2016. The integration of advanced technologies, including machine learning, cloud computing, IoT, and scenario-based communication methods, has proven instrumental in predicting hive states such as queen status, enemy attacks, readiness for harvest, swarming events, and population decline. Commonly measured parameters include hive weight, temperature, and relative humidity, with various sensors employed to ensure precision while minimizing bee disturbance. Additionally, bee traffic monitoring has emerged as a critical approach to assessing hive health. Most studies focus on honeybees rather than stingless bees and, in the context of enemy identification, Varroa destructor is the primary target. This review underscores the potential of novel technologies to revolutionize apiculture and enhance hive management practices.
]]>Authors: William Vallejo Carlos Diaz-Uribe Edgar Mosquera-Vargas
Heterogeneous photocatalysis is one of the most versatile and widely studied photochemical approaches for the degradation of recalcitrant pollutants. Owing to its favorable physicochemical properties, titanium dioxide (TiO2) remains one of the most investigated semiconductor photocatalysts. However, its wide band-gap energy (3.2 eV) restricts its photoactivity to the UV region, which represents only a small fraction of the solar spectrum. A major challenge in this field is therefore the development of TiO2-based materials capable of operating efficiently under visible light irradiation, enabling the use of solar energy as a sustainable primary source. Several strategies have been explored to extend the optical response of TiO2, among which elemental doping remains one of the most effective and commonly applied. In this work, we conducted systematic comparative analysis to evaluate the photocatalytic performance of TiO2 modified through different doping approaches. Sixty-one scientific reports published between 2015 and 2025 were analyzed, comparing three categories of dopants: (i) metal dopants, (ii) non-metal dopants, and (iii) co-doping systems. In the first section, we discuss fundamental concepts of photocatalysis and recent advances in doping strategies and surface modifications aimed at enhancing the photocatalytic performance of TiO2. In the second section, we present a comparative analysis based on 61 scientific reports focusing on TiO2 doping and co-doping processes. Finally, this study summarizes the different categories of doped TiO2 photocatalysts by comparing the photocatalytic performance employing an alternative performance metric.
]]>Authors: Fernando Mata Susana Campos Meirielly Jesus Joana Santos
This study investigates European citizens’ perspectives on farmers’ roles, highlighting gender, age, education, political orientation, community size, social class, and attitudes towards the EU. This study was developed using 21,002 interviews with European Citizens from all 27 EU countries. A quantitative data analysis methodology was used from the European Eurobarometer 97.1 survey. Seven models were formulated and tested. It is shown that men prioritise economic growth and food stability, while women emphasise environmental protection and animal welfare. Younger individuals focus on rural job creation, whereas older citizens value food security. Higher education levels correlate with environmental and animal welfare concerns. Right-leaning citizens favour economic development, whereas left-leaning individuals prioritise ecological issues. Larger communities emphasise economic growth, while smaller ones focus on environmental preservation. Social class influences priorities, with higher classes concerned about sustainability and lower classes about job creation. Pessimistic views about the EU correlate with food safety concerns, while optimistic views align with environmental and animal welfare priorities. These findings suggest that aligning agricultural and food policies with citizens’ diverse needs can foster a more sustainable and resilient European food system.
]]>Authors: Songxin Tang Raquel Pedrero-Chamizo Eva Gesteiro Carlos Quesada-González Margarita Pérez-Ruiz Marcela González-Gross
Exerkines are released in response to physical exercise and play a key role in promoting health, such as taking part in modulating brain morphology and function. Expression levels of some of them are associated with an increase in neuroplasticity and a decrease in the risk of brain-related diseases such as dementia and depression. Therefore, our objective is to investigate the response of exerkines in healthy individuals and its potential to promote brain health. The search was performed in five databases. Randomized controlled trials of humans and animals of all ages who performed acute and/or long-term exercise and assessed the effects of exerkines were included. Human data were used for quantitative analysis, and animal experiments were included as part of the qualitative analysis. No meta-analyzes were conducted on animal data; preclinical findings are presented solely to contextualize mechanisms and are not used for clinical inference. Eventually, the sample consisted of 3321 individuals, with an age range from 10 to 89 years. Meta-analysis reveals that both acute and chronic exercise induced increases in the brain-derived neurotrophic factor and insulin-like growth factor 1 in older adults. Other exerkines such as cathepsin B and vascular endothelial growth factor have also demonstrated potential power for brain health. In conclusion, physical exercise by altering the levels of exerkines may be a feasible strategy for healthy individuals aiming at healthy aging of the brain. Moreover, it is advisable to analyze additional exerkines or multiple simultaneous applications to assess the cerebral effects during physical exercise. PROSPERO registration number: CRD42023438803.
]]>Authors: Letícia Rosa de Moraes Borges Alessandro Carvalho da Fonseca Elaine Silva de Pádua Melo Rosângela dos Santos Ferreira Aline Carla Inada Rita de Cássia Avellaneda Guimarães Priscila Aiko Hiane Valter Aragão do Nascimento Karine de Cássia Freitas
Cowpeas are a legume widely consumed in Brazil. Given this, the objective of this study was to investigate the presence of metals (loids) in pods and leaves of Vigna unguiculata located near a highway with high vehicle traffic and a landfill, and to assess possible risks to human health. Pod and leaf samples were collected at nine points between the highway and the landfill. The elements were analyzed by inductively coupled plasma optical emission spectroscopy (ICP-OES) and quantified. The risk to human health was assessed using risk quotient and risk index values. A quantitative analysis of the chemical elements was also performed using the maximum tolerable intake level. Element concentrations were higher in the leaves than in the pods. The human health risk analysis showed that the average daily consumption of both pods (44 g/day) and leaves (67 g/day) may pose a chronic health risk to adult men and women, due to simultaneous exposure to multiple metals. It was concluded that the plant is contaminated and that its ingestion can cause toxicity, warranting warnings against cultivating areas near anthropogenic activities that may be contaminated with heavy metals, thereby affecting nutritional safety.
]]>Authors: Luis Alfonso Rodríguez-Páez Alfredo Jarma-Orozco Maria Ileana Oloriz-Ortega Novisel Veitía Rodríguez
Stevia rebaudiana Bertoni is a strategically important perennial crop because it is the main botanical source of steviol glycosides, a group of high-intensity, non-caloric sweeteners increasingly demanded by the global food and beverage industry. Despite the rapid expansion of stevia cultivation, commercial production remains strongly dependent on a narrow genetic base, particularly on clonally propagated cultivars such as ‘Morita II’, which has long served as the industrial benchmark because of its favourable rebaudioside A profile and processing consistency. This dependence has raised concerns about limited adaptive capacity, genetic erosion and restricted long-term breeding progress. In this review, we provide an integrated and critical synthesis of current knowledge on the genetic diversity of S. rebaudiana, the biosynthetic and regulatory architecture of steviol glycosides, and the conventional and emerging strategies available for crop improvement. Unlike previous reviews, this article explicitly connects domestication-driven genetic bottlenecks, wild germplasm mobilisation, metabolic pathway regulation, advanced analytical phenotyping and precision breeding into a single systems-oriented framework. We examine the roles of wild germplasm, somaclonal variation, polyploidy, molecular markers, omics-assisted approaches and transgene-free genome editing as complementary tools to broaden the stevia breeding base while preserving industrial quality standards. We finally propose an integrative roadmap for the sustainable genetic improvement of stevia, positioning ‘Morita II’ not as an endpoint, but as a benchmark within a broader diversification strategy.
]]>Authors: Tomokazu Konishi
Several long-standing empirical laws in geophysics have recently come under scrutiny, with emerging evidence suggesting that some may be based on misinterpretations of seismic data. These developments have been facilitated by the application of Exploratory Data Analysis (EDA), a statistical approach that emphasizes data-driven discovery over model-driven assumptions. This tutorial review introduces EDA as a practical and reproducible framework for seismic data analysis using the R programming environment. Through selected case studies, I demonstrate how EDA can reveal overlooked patterns, challenge conventional models, and offer new insights into earthquake behavior. The article also outlines key methodological tools, including Principal Component Analysis (PCA) and three-dimensional visualization, and discusses ongoing challenges and future directions for integrating EDA into mainstream seismological research.
]]>Authors: David Woollard Adam Gauci Alfred Micallef
This study examines land surface temperature (LST) variability over Malta, a small island in the central Mediterranean, using satellite observations compared with in situ near-surface air temperature (NSAT) measurements. The analysis focuses on the comparison between satellite-derived LST and local atmospheric thermal conditions for urban and rural land cover types. LST data from Landsat-8, MODIS (Terra and Aqua), and Sentinel-3A and 3B were analysed over a six-month period (September 2024 to February 2025). Monthly morning and evening field campaigns were conducted at 19 monitoring sites distributed across the island, during which NSAT, relative humidity, wind speed, and wind direction were recorded. Morning comparisons showed strong correlations between satellite-derived LST and in situ NSAT, i.e., Pearson’s correlation coefficient, r, in the range of 0.82–0.85. Landsat-8 exhibited a slight positive bias (+1.04 °C), while MODIS and Sentinel-3 Level-2 products showed negative biases (−3.82 °C and −1.89 °C, respectively). Nighttime comparisons revealed larger negative biases for MODIS (−6.91 °C) and Sentinel-3 (−6.89 °C). After empirical-based harmonisation, these discrepancies were reduced to near-zero mean bias, maintaining strong correlations. Spatial analysis indicated a persistent nocturnal urban heat island (UHI) effect, with urban areas retaining more heat than rural zones. Morning patterns showed seasonal modulation: during late summer and early autumn, rural areas exhibited higher surface temperatures due to sparse vegetation and exposed soils, whereas during cooler months the urban signal became more pronounced as vegetation recovery enhanced rural cooling. Overall, the results demonstrate the usefulness of multi-sensor satellite observations, interpreted alongside ground-based measurements for characterising thermal behaviour in small island environments.
]]>Authors: Alessandra Amato Luca Petrigna Federica Furnari Giuseppe Musumeci
Background: This study investigated the relationship between weekly structured physical exercise (PE) volume and type and the risk of eating disorders (EDs), with particular attention to age and sex differences. Methods: A total of 417 healthy adults (mean weekly PE: 256.19 ± 133.03 min) completed a self-report questionnaire covering personal information, weekly PE characteristics, and the Eating Attitudes Test-26 (EAT-26). Binary logistic regression was performed with the EAT-26 score as the dependent variable and PE volume, exercise type, age, and sex set as predictors. Results: The results of the binary logistic regression model were statistically significant (χ2 = 16.784, p = 0.003). Sex emerged as the strongest independent predictor of ED risk (p = 0.003). Cross-tabulation confirmed a significant sex disparity, with females showing a threefold higher prevalence of at-risk EAT-26 scores (17.6%) compared to males (5.2%). No significant correlation was found between EAT-26 score and PE volume, nor were significant differences in ED risk observed across different types of structured exercise. Conclusions: When controlling for age, neither exercise volume nor type serves as a direct linear predictor of ED risk. Sex remains the strongest demographic predictor.
]]>Authors: Jasmín D. Llamas
Trauma and substance use disorders commonly co-occur, are clinically complex, and are associated with poorer outcomes. This study applies mixture modeling methods in a co-occurring model to examine group membership patterns across trauma and substance use to identify differences in treatment outcomes. Using the constructs of trauma and substance use, a co-occurring model was conducted to examine group membership patterns at intake and identify differences in outcomes among court-mandated participants in a trauma-informed substance abuse treatment program. This approach uses a joint/cross-classification of two independent Latent Profile Analyses (LPAs) to examine patterns. Findings from the LPA identified three trauma and four substance use profiles. Classes from each LPA were regressed in the co-occurring model, resulting in 12 unique pattern combinations, which were then compared to examine the differences in graduate rates. The results demonstrated that those in the Minimal Trauma/Alcohol Use group were more likely to complete treatment than other higher drug-using populations. Given the complexity of the clinical treatment and the prevalence of co-occurring disorders, the application of this approach can provide a means to examine different grouping patterns across two diagnostic criteria that can guide and tailor treatment efforts.
]]>Authors: Nadezhda Traycheva Petkova Plamen Zorovski Ivan Ivanov Ivayla Dincheva Tatyana Bileva
The aim of this study was to evaluate the bioactive compounds and antioxidant activity of lemon balm (Melissa officinalis L.) grown under two farming systems (conventional vs. organic farming). From the content of photosynthetic pigments, total phenolics, and total flavonoids, as well as individual phenolic acids and flavonoids, the antioxidant potential was evaluated in 95% and 50% ethanol extracts. Moreover, GC-MS analysis of lemon balm essential oils was used to reveal the detailed composition. Forty-three compounds were detected in the essential oil from organic farming lemon balm, representing 99.70% of the total content. Among these, several compounds, such as α-pinene, n-octan-3-ol, bergamal, trans-rose oxide, dihydro-linalool, cis-isocitral, and trans-anethole, were found exclusively in the organic essential oil. In comparison, thirty-six compounds were detected in the essential oil from conventionally grown plants, representing 99.80% of the total content. The organically grown lemon balm demonstrated higher values of phenolics, flavonoids and antioxidant activity in comparison to the conventional ones. The levels of natural pigment were more than twice as high in the conventionally grown samples. Moreover, the 50% ethanol extracts contained 1.5 to 2 times more phenolic compounds with the highest antioxidant potential by the CUPRAC method. A positive linear correlation (r2 = 0.98) was found between total phenolics and electron transfer-based antioxidant methods. Therefore, the organic farming led to the production of lemon balm with more secondary metabolites, such as phenolic acids and flavonoids, with higher antioxidant activity.
]]>Authors: Caroline Martins Jesus Fernanda Farias Costa Louriane Nunes Gomes Luis Douglas Miranda Silva Yaron Santos Alencar Richard Pereira Dutra Cláudia Quintino da Rocha Lucilene Amorim Silva Aramys Silva Reis
Leishmaniasis is a serious public health issue, but current treatments have significant adverse effects. Although the leishmanicidal potential of Cinnamomum verum (cinnamon) bark is well known, the therapeutic potential of its leaves for leishmaniosis is still unclear. Through an in vitro study, we found that the hexane fraction of C. verum leaves had significant cytotoxic effects on L. amazonensis promastigotes (IC50 = 15.43 µg/mL) and amastigotes (IC50 = 16.6 µg/mL), whereas the hydroalcoholic extract and the more polar fractions did not show any effect. The fraction was highly selective against the parasite and induced apoptosis-like cell death, whereas the standard drug, pentamidine, promoted necrosis-like cell death. We suggest that this effect is due to the chemical composition of the fraction, which is rich in phytol and hexadecanoic acid. Our findings indicate the therapeutic potential of the hexane fraction of C. verum leaves for the treatment of leishmaniasis.
]]>Authors: Aneta Kišova Aleksandra Sergeeva Rastislav Jurčik Ľubomír Ondruška Július Arvay Roman Mlynár Francesco Vizzarri
Dietary phytogenic additives and microalgae are increasingly investigated as natural alternatives to antibiotic growth promoters in rabbit production due to their potential effects on gut health and nutrient utilisation. This study evaluated the nutraceutical potential of Chlorella vulgaris and Laurus nobilis as plant-based additives for growing New Zealand White rabbits. A 45-day feeding trial was conducted using control and experimental diets enriched with 0.1% Chlorella and 0.1% Laurus. Productive performance, nutrient digestibility, blood biochemistry and faecal composition were monitored, and polyphenolic compounds were analysed in feed, blood, faeces and caecal microbiota using HPLC-DAD. Final body weight (3097 vs. 2909 g) and feed intake (142.7 vs. 145.0 g day−1) did not differ significantly between treatments. However, crude protein digestibility was significantly lower in the supplemented group than in the control group (54.39–47.79% vs. 63.73–62.33%; p < 0.05). Faecal chemical composition differed significantly between groups, particularly for dry matter, which was higher in the supplemented group across sampling times. Polyphenols detected across biological matrices confirmed the bioavailability of selected phytochemicals, with ferulic acid showing the highest stability. Correlation analysis indicated shared metabolic or absorptive pathways among several compounds. Overall, low-dose supplementation with C. vulgaris and L. nobilis appears safe and may support improved digestive physiology and nutrient utilisation without compromising rabbit health. Further research with larger sample sizes and detailed microbiome profiling is needed to clarify metabolic interactions and long-term effects of these nutraceutical strategies.
]]>Authors: Mihaela Ivanova Aneta Kisova Alexandar Balabanov Milena Dimitrova-Dicheva Nikolay Kolev Ivelina Ivanova Georgi Peychev Desislava Vlahova-Vangelova Francesco Vizzarri
The incorporation of natural plant extracts into dairy products has attracted increasing interest due to their potential to enhance nutritional value and product stability. This study evaluated the effects of distilled rose (Rosa damascena Mill.) flower ethanolic extract on the physicochemical, texture, microbiological, and sensory properties of kashkaval cheese. Cheese samples were immersed in solutions containing rose extract at concentrations of 1.25% (S2) and 2.5% (S3) and compared with a control (S1) during ripening. Sensory evaluation showed that S2 achieved the most favorable balance of aroma, flavor, and overall acceptability, whereas S3 exhibited reduced acceptance due to an excessively strong floral aroma. The enrichment did not significantly affect fat (26–29%), water (33–36%), or salt (~2%) content. However, rose extract accelerated proteolysis, with S2 showing the highest maturity index (NPN/TN 13.76% at month 6) compared with the control (11.19%). Enriched samples showed improved amino and organic acid profiles, while the control contained higher levels of saturated fatty acids and cholesterol. All samples met microbiological safety criteria. Rose extract also influenced color and texture properties. These results demonstrate that rose extract can serve as a functional ingredient to improve the quality and technological properties of kashkaval cheese, with optimal effects at 1.25%.
]]>Authors: Prem Kumar Nouf A. Alnaimi Sumi Soman Leda Suansing Daniel Ryan Arriola Lamiaa Al Jamea
Background: Artificial intelligence (AI) can significantly enhance the efficient allocation of healthcare resources. The use of AI-driven diagnostic tests in healthcare settings supports healthcare professionals (HCPs) in diagnosis, treatment, and the prediction of patient outcomes. Methods: Relevant research studies published between 1 January 2015 and 30 August 2025 were included in this review. Randomized, retrospective, prospective, observational, comparative, and cross-sectional studies were incorporated. The PROBAST + AI tool was used to assess the risk of bias (ROB) and applicability concerns across the included studies. Results: The overall average diagnostic accuracy for AI vs. general HCPs was 81% vs. 71%. In comparisons of AI vs. non-expert HCPs, the accuracy was 95% vs. 82%. AI achieved significantly higher diagnostic accuracy than general and non-expert HCPs with odds ratios (OR) of 1.51 (95% CI: 1.17–1.96, p = 0.002) and 3.34 (95% CI: 1.13–9.86, p = 0.03), respectively. Diagnostic accuracy between AI and expert HCPs was 91% vs. 86%; AI achieved similar diagnostic accuracy to expert HCPs with an odds ratio (OR) of 0.72 (95% CI: 0.25–2.07, p = 0.54). Additionally, high levels of burden or burnout were significantly lower among healthcare professionals supported by AI compared with those working without AI. The pooled estimate yielded an OR of 1.77 (95% CI: 1.40–2.24, p < 0.00001), indicating a meaningful reduction in workload-related stress when AI tools were integrated into clinical practice. Conclusions: Based on the findings, AI demonstrates a positive impact on diagnostic accuracy and contributes to reducing the workload of healthcare professionals.
]]>Authors: Samikshya Neupane Tarun Goswami
Implantable Cardioverter-Defibrillators (ICDs) are life-sustaining devices used in the prevention of sudden death in patients suffering from advanced cardiac diseases. Although improvements in ICD technology and monitoring capabilities have been made, existing techniques are still not effective in predicting accelerated battery drain, thereby causing unplanned generator replacement and clinically significant device-related events. In this study, machine learning techniques were employed in the assessment of the early detection of ICD battery depletion risk using the collected device interrogation reports. The dataset used consisted of 32 devices in the training set and nine in the testing set. In order to mitigate the problem of a small sample size, a GMM-based data augmentation technique was applied solely to the training data, and actual devices were used for the testing data. Five supervised models, including Logistic Regression, Random Forest, SVM, CatBoost, and a Neural Network (MLP), have been utilized using a repeated stratified cross-validation and a separate held-out test data set. All the models have been tested for their performance using classification metrics. All models demonstrated variable performance with wide confidence intervals due to limited sample size. Support vector machines showed the highest cross-validation discrimination 0.889 ± 0.203, though uncertainty remains substantial given the small datasets (n = 41). From the feature analysis, it was found that atrial sensing amplitude, RV/LV capture threshold, output settings, and implant duration were the most important features for the prediction of high battery depletion risk. These findings suggest that changes in device parameters and implant age are associated with elevated battery depletion risk, supporting the feasibility of telemetry-driven risk stratification for device management.
]]>Authors: Yoisdel Castillo Alvarez Johan Joel Cordero Noa Gerald Vasco Quispe Soto Reinier Jiménez Borges
Industrial-scale Anaerobic Digestion (AD) is a key technology for the energy recovery of agro-industrial and municipal waste and for the mitigation of greenhouse gas emissions; however, the actual operational performance of industrial biodigesters continues to show significant discrepancies with respect to the theoretical values reported in the scientific literature. In this context, there is still a lack of systematic analysis to identify which operating parameters are consistently monitored in industrial settings and which remain insufficiently explored, particularly those that describe the overall state of the digestion environment. To address this gap, a systematic literature review was conducted in the Scopus database for the period 2000–2026, complemented by a bibliometric analysis using VOSviewer software v1.6.18. 3. After applying inclusion criteria focused exclusively on industrial-scale and pilot systems, 1327 documents corresponding to the category of operating parameters were selected and analyzed using keyword co-occurrence networks and evaluation of occurrence frequencies and total link intensities. The analysis shows a marked concentration of the literature on a small set of classic parameters, highlighting pH (154 occurrences, 3667 link intensities), temperature (147 occurrences, 3255 link intensities), and ammonia (131 occurrences, 2824 link intensities) as the most recurrent variables in the industrial operation of anaerobic digesters. Complementarily, parameters such as chemical oxygen demand, total and volatile solids, and hydrogen sulfide have progressively increased their presence since 2015, mainly associated with effluent quality assessment, nutrient recovery, and overall process sustainability. In contrast, variables that integrate the state of the environment, such as electrical conductivity, oxidation-reduction potential, and the rheological properties of digestate, appear in less than 5% of the studies analyzed, despite their ability to integrate information on stability, buffer capacity, and overall operating conditions. Taken together, these findings highlight an imbalance between the intensive use of traditional parameters and the limited incorporation of integrative indicators in industrial monitoring, suggesting that their systematic inclusion, together with the development of soft sensors and predictive models, could contribute to improving operational control and reducing the gap between the theoretical performance and actual behavior of industrial biodigesters.
]]>Authors: Alexander Somerville Keith Joiner Graham Wild
The purported benefits of Virtual Reality for pilot flight simulator training, such as increased immersion and presence, would be of great benefit in training those flight skills that rely on visuospatial awareness. The implementation of this technology for the training of pilots requires careful consideration of its ability to transfer required skills and of any comparative advantages over conventional flight simulators. In order to examine this question, a quasi-transfer-of-training study was conducted using a separate-sample pretest–posttest design. The ability of a low-cost VR simulator to transfer flying skills and mission projection skills, using internally valid measures, during a common flight manoeuvre was evaluated. Results were consistent with improved post-intervention flying performance (g = 0.875) and ‘mission projection’ performance (g = 0.661), with no statistically significant difference between the estimated effect sizes, as well as the combined measure (g = 0.768). The findings indicate that the VR simulator was associated with better performance in the quasi-transfer of basic flying skills, those skills that require understanding of spatial relationships based on visual information, and in the broader training of technique. These findings must, however, be considered in the context of the noted limitations of the technology and the research design.
]]>Authors: Bilal S. Algnamat Ahmad A. Abushattal Amani F. Kraishan Monther Alsboul Mou’ad A. Tarawneh Alá S. Alnaimat Deshinta Arrova Dewi
We investigated the influence of transition metal coordination on the optical dispersion and thermo-optic behavior of the ionic liquid 1-butyl-3-methylimidazolium thiocyanate ([BMIM][SCN]). Refractive index measurements in the visible–near-infrared range (400–1000 nm), combined with temperature-dependent characterization (298–323 K), demonstrate that coordination with Al3+, Cd2+, Zn2+, and Mn2+ consistently increases the refractive index relative to the neat ionic liquid. All systems exhibit normal dispersion, following the hierarchy n(Al) > n(Cd) ≳ n(Zn) > n(Mn) > n([BMIM][SCN]), which reflects cooperative contributions from metal-centerd polarizability and coordination-induced modifications to density and electronic structure. Negative thermo-optic coefficients are measured for all samples, with [BMIM]3[Al(SCN)6] displaying the highest temperature sensitivity. Abbe diagrams and group-velocity dispersion analyses confirm a predictable index–dispersion trade-off and show that dispersion-related transport parameters are less temperature dependent than n(T). Collectively, these findings establish a structure–property framework for tuning refractive index, chromatic dispersion, and thermo-optic response via coordination chemistry, supporting the targeted design of thiocyanate-based ionic liquids for photonic components, thermal lenses, and dispersion-managed optical devices.
]]>Authors: Sonam Bhandurge Kuldeep Sambrekar Rashmi Laxmikant Malghan Karthik M C Rao
Chronic kidney disease (CKD) is a global healthcare issue that highlights the need for early identification for better quality of life for patients. This study evaluates various machine learning (ML) classifiers on datasets from UCI and self-collected sources in search of the best methods for CKD classification. This review examines commonly used ML models like support vector machine, K-nearest neighbor, naïve Bayes, decision trees, random forest, logistic regression and boosting-based ensemble methods. The results demonstrated the highest performance of ensemble methods. Despite these promising results, challenges related to model integration and interpretability still exist. Transparent models that are reliable and efficient are suitable for enhancement of clinical application(s). By overcoming these challenges, the work highlights importance of ML for CKD detection and treatment paving the way for artificial intelligence (AI)-driven healthcare solutions that are both effective and trustworthy.
]]>Authors: Abdulhakim Masa Nurulhuda Mesa Siriwat Soontaranon Nabil Hayeemasae
In this study, the potential for re-mixing and re-vulcanizing waste natural rubber glove (WNRG) material by using it as the primary matrix was investigated. Alternative types of vulcanization systems, namely, sulfur, phenolic resin, and peroxide, were employed. The results unequivocally demonstrated that residual vulcanizing agents contained in the WNRG were not sufficient to cause crosslinking reactions without re-mixing with vulcanizing agents. Among the various vulcanization approaches, sulfur produced the greatest properties, whereas phenolic resin gave moderate performance. The WNRG vulcanized with sulfur demonstrated the highest crosslink density, tear strength, tensile strength, hardness, and strain-induced crystallization ability among the tested alternatives. The tensile strength of WNRG vulcanized with sulfur was approximately 16.23 MPa, which was 31.7% and 51.1% greater than the WNRG vulcanizates made with phenolic resin and peroxide, respectively. Because of its highest crosslink density, the WNRG vulcanizate with sulfur also offers the greatest storage modulus among the tested cases. The results clearly suggest that the WNRG can potentially be re-compounded, re-vulcanized, and used as the primary matrix. WNRG could be used as a matrix at an industrial scale, to minimize the environmental issues and increase the added value from waste gloves. The findings provide practical guidance for recycling waste rubber gloves in industrial applications, which would be a more sustainable solution for solving the problems associated with WNRG.
]]>Authors: Tânia Raposo Susana Mendonça Sandra Queiroz Inês Fronteira César Fonseca Elisabete Alves
Inflammatory bowel disease (IBD) requires sustained patient engagement in complex therapeutic and self-management processes, making health literacy (HL) a key determinant of effective care. This cross-sectional study assessed HL levels among adults with IBD attending a public day-hospital service in Lisbon, Portugal, and examined associations with sociodemographic, lifestyle, and selected clinical variables. A convenience sample of 280 participants completed a self-administered questionnaire, including the Portuguese version of the European Health Literacy Survey Questionnaire (HLS-EU-PT-Q16). Descriptive statistics, bivariate analyses, and multiple linear regression were used. HL indices were computed and categorized into proficiency levels; domain- and competency-specific indices were also analyzed. Overall, 48.3% of participants had inadequate or problematic HL, whereas 42.5% had sufficient HL. Healthcare-related HL showed the most favourable profile, whereas health promotion emerged as the weakest domain, with domain-specific mean indices ranging from 31.8 ± 8.3 to 34.4 ± 7.4 on a 0–50 scale. Competency-specific indices indicated that appraisal and, particularly in disease prevention, application were the lowest, and item-level analyses highlighted difficulties with mental health information-seeking and evaluating or acting on media-based health information. In multivariable linear regression analysis, higher educational attainment was positively associated with HL (B = 0.89; 95% CI: 0.05 to 1.73; p = 0.039), whereas female sex was independently associated with slightly lower HL scores (B = −1.72; 95% CI: −3.33 to −0.11; p = 0.036). These findings indicate that nearly half of patients with IBD in a day-hospital setting experience HL-related vulnerabilities, especially beyond clinician-mediated care. Targeted, HL-sensitive interventions focusing on critical appraisal and decision-to-action support may enhance self-management and equity in IBD care.
]]>Authors: Douglas S. Glazier
Diverse natural systems in the universe from stars to organisms have finite “life cycles” (durations of existence). In my review, I attempt to answer fundamental but little explored questions about birth-death cycles, including “why do they exist?”, “what do they have in common?”, and “how/why do they vary?” Various physical and biological systems have life cycles because they cannot avoid “death”, metaphorically speaking. Thus, if their type is to persist, they must replace themselves. All systems with life cycles are dissipative structures with a generative phase of growth and increasing order driven by energy uptake/use and a degenerative phase of degrowth and decreasing order driven by entropy production and accidental damage. Life cycles vary in rapidity and duration, often in relation to system size. The life cycles of living systems also differ from those of non-living systems in using information to regulate their birth and death, at least in part. Living systems are born via self-production, whereas non-living systems are “born” de novo. Thus, living systems perpetuate themselves by means of branching ancestor–descendant lineages, thereby enabling the cumulative evolution of their relatively high levels of diversity and complexity. Living systems (from cells to societies) are also extraordinary in having multi-layered compound cycles, i.e., “cycles within cycles”. Based on my comparative analysis of living and non-living systems across the universe, I propose a preliminary, multi-mechanistic theory of life cycles and their origins.
]]>Authors: Antonio Rafael Rodríguez Abraham Hugo Daniel García Juárez Ingrid Estefani Sánchez García Carlos Enrique Mendoza Ocaña Guillermo Paris Arias Pereyra
This study investigates whether external terms of trade (TOT) and mining-sector GDP in Peru share a stable long-run relationship. Although mining has played a central role in the country’s growth trajectory, its performance remains highly exposed to international price cycles, raising questions about its structural sustainability under persistent external shocks. Using quarterly data for 2001–2024, the analysis applies Johansen cointegration techniques and estimates a bivariate Vector Error Correction Model (VECM) to evaluate long-run co-movement and short-run adjustment dynamics. The results identify a single cointegrating relationship in which mining GDP acts as the primary adjustment variable, gradually correcting deviations from long-run equilibrium, while short-run TOT shocks do not exert direct contemporaneous effects on mining growth. The estimated speed of adjustment is low, suggesting a prolonged convergence process consistent with the capital-intensive and rigid structure of the mining sector. Robustness exercises—including estimation with heteroskedasticity and autocorrelation consistent (HAC) standard errors and an extended specification incorporating gross fixed capital formation—confirm the stability of the long-run relationship. These findings indicate that the structural sustainability of mining output depends on the interaction between external price dynamics and the sector’s capacity to adjust to persistent international shocks. The study concludes that, in the Peruvian case, structural sustainability in the mining sector is not determined solely by global price trends, but is also conditioned by domestic productive and institutional factors that govern the speed of adjustment in the presence of sustained external volatility.
]]>Authors: Alessio Di Rubbo Mattia Neri Remo Pareschi Marco Pedroni Roberto Valtancoli Paolino Zica
This paper explores how semantic-space reasoning, traditionally used in computational linguistics, can be extended to tactical decision-making in team sports. Building on the analogy between texts and teams—where players act as words and collective play conveys meaning—the proposed methodology models tactical configurations as compositional semantic structures. Each player is represented as a multidimensional vector integrating technical, physical, and psychological attributes; team profiles are aggregated through contextual weighting into a higher-level semantic representation. Within this shared vector space, tactical templates such as high press, counterattack, or possession build-up are encoded analogously to linguistic concepts. Their alignment with team profiles is evaluated using vector-distance metrics, enabling the computation of tactical “fit” and opponent-exploitation potential. A Python-based prototype demonstrates how these methods can generate interpretable, dynamically adaptive strategy recommendations, accompanied by fine-grained diagnostic insights at the attribute level. Evaluation through synthetic scenarios and a pilot study with real match data establishes internal consistency and feasibility of the approach; operational validity in live coaching contexts remains an open question for future prospective validation. Beyond football, the framework offers a potentially generalizable approach for collective decision-making in team-based domains—ranging from basketball and hockey to cooperative robotics and human–AI coordination systems. The paper concludes by outlining future directions toward real-world data integration, predictive simulation, and the validation work required before operational deployment.
]]>Authors: Juan Cadavid David Patiño-Ruiz Manuel Saba Oscar E. Coronado-Hernández Rafael D. Méndez-Anillo Alejandro Martínez-Amariz
This study assesses the technical, operational, environmental, and economic feasibility of integrating alkaline water electrolysis (AEL) using on-site measured surplus electricity from two 20 MW natural-gas turbogenerators installed at a Central Processing Facility (CPF) in a Colombian oilfield. Unlike approaches based on modeled profiles, the analysis relies on more than 31,000 experimental records of gas consumption and active power, enabling an accurate characterization of the structural availability of energy surpluses under real operating conditions. A specialized industrial water treatment and purification company was consulted and provided with the physicochemical characterization results obtained from process water samples analyzed by an accredited laboratory. Based on these parameters, the technical supplier confirmed the feasibility of designing a multistage treatment train, including equalization, filtration, clarification, activated carbon, ultrafiltration, and reverse osmosis, capable of achieving final conductivities at or below 5 µS/cm. This water quality level is compatible with typical industrial alkaline electrolysis requirements and in line with technical specifications commonly aligned with ASTM and ISO standards for pressurized AEL systems. A strategic comparison between PEM and AEL technologies, supported by IFE/EFE matrices and sensitivity analyses, identified alkaline electrolysis as the optimal alternative under a stable electrical profile and capital expenditure constraints. Energy sizing for scenarios between 1.5 and 10 MW, assuming continuous 24 h operation and an average specific consumption of 50 kWh/kg H2, yields productions between 0.5 and 3.5 t H2/day, with electrical efficiencies above 70%. A 20-year financial analysis indicates a techno-economic threshold near 3 MW (NPV > 0; IRR > WACC), with optimal performance in the 6.5–10 MW range and payback periods between 2 and 4 years under internal valorization of the surplus electricity. From an environmental perspective, the produced hydrogen is classified as low-carbon rather than “green” due to its thermal origin; however, the integration improves the turbines’ operating regime and valorizes surplus electrical exergy that was previously unused, providing a replicable strategy for industrial assets with self-generation and treatable water availability.
]]>Authors: Anastasiya I. Bilyk Ayrat R. Gafurov Andrey I. Sidyakin Alexey N. Gusev Wolfgang Linert
Grapevine tissues (Vitis spp.) are rich in various phenolic compounds and polysaccharides, which complicates the isolation of dsDNA for molecular analysis. In this study, 25 different DNA extraction buffers were developed and tested using a six-factor matrix method with five levels of variation. An optimized buffer based on 100 mM Tris-HCl (pH 8.0) was developed, containing 1% (m/v) CTAB, 1% (m/v) PVP, 5% (v/v) β-mercaptoethanol, 30 mM Na2EDTA, 1.0 M NaCl, and 60 min of incubation. The protocol allowed us to obtain high-quality DNA (187–305 ng/µL, OD260/OD280 = 1.80–1.88) suitable for PCR from five grape varieties: ‘Chardonnay’, ‘Kober 5BB’, ‘Shine Muscat’, ‘Selection Oppenheim 4’, and ‘Fercal’, grown in vitro. This universal buffer improves the reproducibility of results in studies of genetic diversity, pathogen detection, and breeding.
]]>Authors: Dolapo Faith Sule
This study investigats both emerging and existing ethical issues associated with the adoption of artificial intelligence (AI) in Africa, a region characterised by unique socio-economic and cultural complexities. Even though AI adoption is rapidly transforming and delivering substantial benefits in sectors such as healthcare, finance, agriculture, education, industry, and governance, its implementation still raises ethical concerns. These ethical issues include digital colonialism, algorithmic bias, job displacement, limited infrastructure, data scarcity, linguistic diversity, and the risk of imposing foreign values that may undermine indigenous knowledge and social cohesion. Grounded in Afro-communitarianism and stakeholder theory, which emphasises communal values such as Ubuntu and cooperative engagement among stakeholders, this desk-based research identifies these major challenges and introduces a culturally grounded framework for responsible AI adoption in Africa. The framework calls for stronger governance, capacity building, collaboration among stakeholders, and tailored strategies across multiple stakeholders to ensure AI supports Africa’s inclusive and sustainable progress.
]]>Authors: Vedrana Jurčević Podobnik Gordana Kenđel Jovanović Martina Pavlić Jasna Pucarin-Cvetković Nataša Šarlija Sandra Pavičić Žeželj Darja Sokolić
Background: Food-related reactions can significantly impact children’s dietary choices, health, and nutritional status. This study evaluated adherence to the Mediterranean diet and explored its associations with regional and family socioeconomic status among Croatian children whose parents reported adverse food-related reactions. Methods: The cross-sectional study analyzed data on 193 children aged 2–9 years with parent-reported food-related reactions, collected from the Croatian National Food Consumption Survey, which included 1820 children aged 3 months to 9 years, based on the EU Menu methodology (OC/EFSA/DATA/2016/02 CT3). Parents completed standardized questionnaires on food-related reactions, lifestyle, dietary patterns, and socioeconomic indicators. Regional differences were assessed, and adherence to the Mediterranean diet was evaluated using the KIDMED index. Results: This survey found an 11% prevalence of parent-reported adverse food-related reactions among children aged 2 to 9 years. Milk, eggs, and tree nuts were the most commonly reported allergens. Adherence to the Mediterranean diet was moderate (36%) to low (41%; p = 0.011), with higher KIDMED scores associated with greater fruit, vegetable, legume, fish, and olive oil intake and lower adherence associated with more ultra-processed foods and obesity. Children from coastal and urban areas had better diet quality and socioeconomic indicators. Maternal education was strongly associated with Mediterranean diet adherence (OR = 1.88, p < 0.001), while maternal employment and household income showed no significant relationship. Conclusions: The findings highlight significant nutritional challenges among Croatian children with adverse food-related reactions, driven by regional and socioeconomic disparities. An adherence to a low Mediterranean diet indicates a need for a personalized approach to the diet management of children with food-related reactions. Addressing these through targeted, equitable public health strategies may improve outcomes for affected children.
]]>Authors: Yana Gocheva Stephan Engibarov Irina Lazarkevich Rumyana Eneva Ekaterina Krumova
Zinc oxide nanoparticles (ZnO-NPs) have gained increasing attention across food, biomedical, environmental, and many industrial fields due to their antimicrobial properties, chemical stability, and favorable physicochemical characteristics. In parallel, enzyme immobilization on nanostructured supports has emerged as an effective strategy to enhance enzyme stability, reusability, and functional performance in biosensing and biocatalytic systems. This mini-review summarizes recent advances in the synthesis of ZnO-NPs, with emphasis on green and biogenic approaches, and examines their integration with enzymes to form ZnO-enzyme hybrid systems. Key enzyme classes, immobilization strategies, and representative applications in food quality monitoring, biosensing, and food-processing-related biocatalysis are discussed. The novelty of this article is its comprehensive and application-oriented perspective. Unlike previous reviews that primarily addressed either ZnO nanoparticle synthesis or generic enzyme immobilization, this manuscript critically integrates strategies across the full value chain, from material preparation to functional application. In addition, the review critically evaluates toxicity, migration, safety, and regulatory considerations associated with ZnO-NPs, highlighting existing knowledge gaps and the need for standardized assessment frameworks. Despite promising proof-of-concept studies, challenges related to nanoparticle reproducibility, enzyme leaching, and long-term safety remain, underscoring the need for integrated and application-oriented research to enable safe and effective implementation of ZnO-enzyme hybrid technologies in many different sectors.
]]>Authors: Franca Rossi Serena Santonicola Giampaolo Colavita
Different groups of microorganisms—namely lactic acid bacteria (LAB), coagulase-negative staphylococci (CNS), dairy propionibacteria, yeasts, and molds—play essential roles in producing safe fermented foods of animal and plant origin with high nutritional value and sensory quality. The acquisition of genetic traits with technological relevance by natural horizontal gene transfer (HGT) via transformation, conjugation, phage transduction, and other routes would broaden the spectrum of beneficial activities exerted by individual microbial strains with no limitations for their use in food. Therefore, this critical review aimed to identify the potential for natural genetic improvement of microbial species relevant to food technology, based on reports of natural genetic exchanges occurring in environmental niches and laboratory conditions. Results showed that the species most frequently involved in natural HGT is Lactiplantibacillus plantarum, followed by Streptococcus thermophilus and Lactococcus lactis. Extensive HGT events enabling adaptation to food have been observed in domesticated filamentous fungi. The transferred traits of technological relevance include resistance to various stress factors, exopolysaccharide (EPS) and bacteriocin production, protein and amino acid utilization, phage immunity, lactose and citrate metabolism in dairy species, and use of plant carbohydrates in vegetable adapted species. Methods suitable for detecting HGT events in microbial communities have been developed and can aid in isolating improved strains for use in fermented foods.
]]>Authors: Juniel Marques de Oliveira Meirielly Jesus Jairo Neves de Jesus Santos Fernando Mata Sepehrdad Dehghani Joana Santos Maria Caroline Figueirêdo Assis Taila Veloso de Oliveira
The incorporation of probiotic bacteria into active packaging systems represents an innovative strategy to enhance food preservation while delivering health benefits to consumers. This review discusses the selection criteria for probiotic strains focusing on their resistance to environmental stressors, antimicrobial activity, and viability in different food matrices and their integration into edible films and coatings. Polysaccharides, proteins, and hydrocolloids are widely used as biopolymeric matrices due to their biocompatibility and functional properties. The efficiency of probiotic packaging largely depends on three factors: the choice of strain, the encapsulation technique (such as spray drying, emulsification, or electrospinning), and the properties of the matrix material. These packaging systems demonstrate strong antimicrobial activity through multiple mechanisms, including bacteriocin production, competition for adhesion sites, and acidification. Applications in dairy, meat, fish, and fresh produce reveal the potential of these technologies to delay spoilage, reduce pathogenic microorganisms, inhibit lipid oxidation, and maintain nutritional and sensory qualities. Moreover, studies emphasize that combining probiotics with prebiotic compounds can improve both microbial stability and functional performance. Despite promising results, challenges remain regarding the industrial scalability and long-term stability of these systems under varied storage conditions. Future research should focus on optimizing formulation parameters, expanding applications across diverse food categories, and integrating smart packaging technologies. Altogether, probiotic-based edible packaging aligns with current demands for sustainable, health-oriented food solutions.
]]>Authors: Francesca Mancuso Cinzia Lilli Catia Bellucci Veronica Ceccarelli Anna Stabile Cristiana Gambelunghe Ludovica Pugliese Margherita Cecchetti Giovanni Luca Tiziano Baroni
Moringa oleifera is widely recognized for its pharmacological properties and has recently attracted interest for its potential anticancer effects. In this study, we investigated the in vitro activity of Moringa oleifera leaf extract on the human prostate cancer PC3 cell line, focusing on the insulin-like growth factor 1 receptor (IGF1R) signaling pathway, a central regulator of prostate cancer progression. PC3 cells were treated with Moringa oleifera extract, IGF-1, the IGF1R inhibitor NVP-AEW541, and their combinations. Cell migration, apoptosis, cell cycle distribution, gene expression, and protein regulation were evaluated using scratch assays, flow cytometry, RT-PCR, and Western blotting. Under our experimental conditions, Moringa oleifera extract was associated with reduced IGF1R expression and phosphorylation, together with decreased activation of downstream ERK/MAPK and AKT signaling pathways. These changes were accompanied by increased apoptosis, G0/G1 cell cycle accumulation, and reduced migratory capacity of PC3 cells. In addition, Moringa oleifera modulated the expression of genes involved in epithelial–mesenchymal transition, tumor progression, and extracellular matrix remodeling, suppressing pro-invasive markers while enhancing anti-metastatic factors. The extract also reduced the expression of bone metastasis–associated markers, including osteocalcin and alkaline phosphatase. Overall, these findings indicate that Moringa oleifera exposure is associated with modulation of IGF1R-related signaling and cellular programs relevant to aggressive prostate cancer. Further studies will be required to determine pharmacological feasibility and translational relevance.
]]>Authors: Paolo Bailo Ascanio Sirignano Giulio Nittari Giuseppe Visconti Giuliano Pesel Tommaso Spasari Giovanna Ricci
Artificial intelligence (AI) is transforming criminal practice by industrialising deception, compressing attack cycles, and corroding evidentiary trust. This narrative review synthesises recent technical and criminological literature with institutional reporting to explain how generative models, predictive analytics, and automation enable convincing synthetic media, highly targeted social engineering, document forgery, identity synthesis, and adaptive evasion. Attention is given to the convergence with organised networks that use AI to coordinate logistics, mimic normal behaviour, and launder proceeds across platforms. Furthermore, a review of the grey literature was carried out to identify applied cases and to show how heterogeneous they are. Defensive efforts are advancing, yet detection remains brittle under laundering, increasing media realism, and adversarial adaptation. Regulatory and policy responses are surveyed across jurisdictions without claiming exhaustiveness; they appear fragmented and often lag operational innovation. The objective is pragmatic: to raise attacker costs and preserve information integrity while safeguarding fundamental rights and forensic reliability.
]]>Authors: Angeliki Kitsopoulou Evangelos Bellos Evangelos Vidalis Georgios Mitsopoulos Christos Tzivanidis
Escalating climate change and the increasing frequency of weather extremes pose a threat to the resilience of urban environments and human health, highlighting the urgent need for implementing energy-efficient interventions and reducing building cooling loads. This study investigates the passive building envelope retrofit technologies of external shading, electrochromic windows, and thermochromic windows through a multi-criteria evaluation analysis based on energy savings, economic performance, and indoor thermal comfort improvement. Thermochromic windows are discerned by a mean colour transition temperature of 34 °C and operate throughout the entire year, while electrochromic windows are activated only during cooling periods. Both technologies present total solar transmittance indices of 72.6% and 8.4% in the bleached and tinted state, respectively. External shading devices are either static or movable, applied with an inclination angle, and are either standalone interventions or combined with chromogenic glazing. Eight retrofit scenarios are investigated for a single-story, fully electrified residential building in Athens, Greece. The building features south- and east-oriented windows, which is an appropriate case to assess the effectiveness of these passive envelope cooling technologies in regulating solar heat gains. Thermal comfort is assessed using Fanger’s PMV (predicted mean vote) and PPD (Predicted Percentage of Dissatisfied) indices. The combination of electrochromic windows and movable external shading yields the highest annual electricity savings at 22.2% and reduces the PPD by 15.8%. Local static shading, on the other hand, ranks as the optimal retrofit solution in terms of economic performance, with a life-cycle cost of €6378, a 9.3% improvement in thermal comfort, and a corresponding reduction of 626 thermal discomfort hours. While the proposed multi-criteria framework can be applied to other buildings and climates, the quantitative results reported here are linked to the specific case examined: a residential building with south- and east-facing glazing in Athens, Greece, representing Mediterranean climatic conditions.
]]>Authors: Keisha M. Macon Julia I. Caldwell Natallie Kochumian Dipa Shah Tony Kuo
This study assessed whether frequent attendance of onsite produce events at Federally Qualified Health Centers is associated with increased fruit and vegetable consumption, reduced food insecurity, and enrollment in food assistance. A deeper understanding of these relationships may help program implementers and health practitioners improve healthy food access among low-income patients by screening for food insecurity and offering onsite produce distribution events at clinic sites. Using a cross-sectional observational design, study data originated from an intercept survey of 886 adults who attended free produce events at 14 clinic locations in Los Angeles County during 2021–2023. Multivariable models assessed associations between attendance frequency and the main outcomes: fruit and vegetable consumption, food insecurity, and enrollment in food assistance (i.e., SNAP, WIC). Compared with first-time attendees, frequent attendees had higher odds of meeting the MyPlate recommendations for fruit (adjusted odds ratio [AOR] = 1.37, p = 0.012) and vegetable (AOR = 1.47, p = 0.019) consumption. Frequent attendees, compared with first-time attendees, also had marginally lower odds of food insecurity (AOR = 0.73, p = 0.077), with no effect on food assistance enrollment. These findings suggest safety-net health centers can play meaningful, multi-faceted roles in increasing patient access to healthy food by screening for food insecurity and offering onsite free produce distributions at their clinic sites.
]]>Authors: Angie J. Guevara Muñoz Isabella Carvajal Samboni Miguel A. Rodriguez-Cabal Edwin Chica
The transition to sustainable energy systems requires the development of efficient hydrokinetic technologies to increase the reliability and competitiveness of renewable energy generation. Vertical-axis H-Darrieus turbines can improve their performance through impeller channels or external flow guidance devices that modify the local mass flow distribution around the rotor. This work introduces a systematic geometric optimization framework that quantitatively evaluates the combined effect of key channel design parameters on turbine performance by employing response surface methodology (RSM) to quantify the influence of two geometric parameters of an impeller channel—specifically, the deflection angle (β) and the channel length (H)—on the turbine power coefficient (Cp). This approach allows for the identification of nonlinear interactions between geometric variables, which have not been explicitly addressed in previous research on impeller channels in H-Darrieus turbines. An experimental design with thirteen treatments was implemented, and numerical simulations were performed using Computational Fluid Dynamics (CFD) in ANSYS FLUENT®. Statistical analysis of the RSM model showed that both β and H have significant effects (p<0.05) on turbine performance. The model predicted an optimal configuration with β equal to 100° and H equal to 0.2 m, corresponding to the maximum Cp achieved. These findings confirm the potential of impulse channels to improve the aerodynamic efficiency of H-Darrieus turbines and establish a quantitative basis for design optimization in hydrokinetic applications.
]]>Authors: Fernando Mata Meirielly Jesus Joana Santos
Integrative frameworks such as ‘One Welfare’ and ‘One Biology’ address the interconnectedness of animal welfare, human wellbeing, and environmental conditions by emphasising systemic interactions and shared biological mechanisms across species. Although grounded in scientific evidence, these approaches risk conceptual anthropomorphisation, whereby human-centred assumptions, emotional narratives, or cultural norms influence interpretations of welfare, sentience, or sustainability. Such projections can undermine scientific objectivity, misrepresent species-specific needs, and weaken the frameworks’ applicability in research, policy, and practice. This paper critically examines how anthropomorphising concepts may arise within this context, distinguishing empirically supported biological continuity from unwarranted human-like attributions. It highlights the importance of precise language, operational definitions, and comparative evidence to safeguard conceptual integrity. While both frameworks are fundamentally non-anthropomorphic, careless language and human-centred assumptions can compromise their scientific rigour and ethical coherence. Avoiding conceptual anthropomorphisation is therefore essential to maximise their value for robust welfare assessment, policy development, and sustainable practice.
]]>Authors: Rocio Caballero-Díaz Esteban Sarrias-Arrabal Ruben Martin-Clemente Manuel Vazquez-Marrufo
The gamma band observed in human electroencephalography (EEG) has been extensively studied. However, recent research has begun distinguishing the potential roles assigned to phase and non-phase modulation within this band. The primary aim of this study is to analyze the potential role of non-phase gamma modulation in a widely used visual task in human subjects. For this purpose, using a 58-channel EEG recording, gamma activity was evaluated during an oddball task. Responses from 21 healthy subjects were recorded at two separate time points, with an average interval of 49.5 ± 48.9 days. Latency, amplitude, and topographic correlation values were calculated to assess the replicability. Furthermore, potential influence of alpha band harmonics on gamma was analyzed. Topographic analyses revealed a strong negative correlation between gamma phase-locked (synchronous) and non-phase-locked (asynchronous) activity, with correlation coefficients of r < −0.9 for both measures. The results observed between the two time points were robust. The harmonic analysis did not show any potential contribution of the alpha band. The separate analysis of phase and non-phase activity has enabled us to identify distinct roles for each. Establishing non-phase activity as a perceptual “anti-binding” mechanism opens new avenues for exploring a previously unaddressed aspect of gamma activity.
]]>Authors: Elettra Della Ceca Samanta Corsetti Gianni Sagratini Sauro Vittori Germana Borsetta
The Atlantic blue crab (Callinectes sapidus) has rapidly expanded across the Mediterranean Sea, forming self-sustaining populations in coastal and transitional ecosystems. Its ecological plasticity, high reproductive potential, and tolerance to wide salinity and temperature ranges have enabled a rapid basin-wide colonization, particularly evident in Italian lagoons and estuaries. This invasion has generated substantial ecological alterations, such as predation on bivalves, competition with native decapods, and disruptions of trophic dynamics, as well as significant economic losses for fisheries and aquaculture sectors, especially in northern Adriatic clam-farming areas. Social perceptions vary widely, and management actions remain fragmented, limiting the effectiveness of control and mitigation efforts. This review analyzes the scientific and gray literature published from its first Mediterranean records to 2025, synthesizing evidence on the species’ distribution, ecological impacts, socio-economic consequences, and existing regulatory responses, with a focus on the Mediterranean basin and Italy. Studies on consumers’ and fishers’ perceptions are examined to identify emerging opportunities for sustainable utilization. By integrating ecological and socio-economic dimensions, the review outlines priority knowledge gaps and management needs, providing a science-based framework to support coordinated monitoring, adaptive control strategies, and potential valorization pathways consistent with the EU Green Deal, the Blue Economy, and Circular Bioeconomy principles.
]]>Authors: Hamed Taherdoost
The nascent quantum computing brings unprecedented threats to the security roots of blockchain technology, potentially compromising cryptographic protocols securing decentralized systems. This review paper discusses the developing quantum threat scenario, focusing on the effect of quantum algorithms on traditional cryptographic systems. We critically examine current blockchain architectures, highlighting their vulnerabilities in a post-quantum future. The paper explores newer quantum-resistant cryptographic and modular architectural techniques to enhance blockchain resilience. This review supports comprehensive comprehension of cutting-edge strategies and research gaps by combining the literature addressing quantum threat modeling and post-quantum cryptography in decentralized systems.
]]>Authors: Alexander A. Kostennikov Ilyas M. Kabdesh Yana O. Mukhamedshina
Extracellular vesicles produced by mesenchymal stem cells (MSC-EVs), including exosomes, microvesicles, and apoptotic bodies, are key mediators of intercellular communication and have attracted increasing attention in recent years as potential therapeutic agents for neurological disorders. Predominantly preclinical investigations, including in vitro and animal model studies, demonstrate that MSC-EVs can enhance axonal growth, promote regeneration of nerve fibers and remyelination, and modulate inflammatory processes in injured nervous tissue. These effects have been observed across multiple neurological conditions, including spinal cord injury, traumatic brain injury, ischemic stroke, Alzheimer’s disease, Parkinson’s disease, and multiple sclerosis, though primarily in experimental settings. Owing to their ability to carry biologically active molecules and to cross the blood–brain barrier, MSC-EVs have shown potential as vehicles for targeted delivery of therapeutic molecules to the central nervous system. However, the overwhelming majority of evidence remains preclinical, and clinical translation is limited by the scarcity of completed, rigorously controlled human trials. To advance toward clinical application, further research is required to standardize methods for vesicle isolation, characterization, and delivery, establish optimal dosing regimens, and develop robust quality control standards. A more comprehensive understanding of MSC-EVs signaling mechanisms may facilitate the future development of therapeutic strategies, contingent upon rigorous validation in well-designed clinical studies.
]]>Authors: Rui Reis Aires Camões Manuel Ribeiro
The growing demand for eco-efficient cementitious materials has increased the use of high levels of pozzolanic additions, which, despite their environmental benefits, may adversely affect durability, particularly resistance to carbonation. This study investigates the influence of hydrated lime (HL) on the performance of pozzolanic cementitious mortars, with emphasis on carbonation resistance. HL was incorporated into the mortar composition and into the curing solution. A total of 45 mixtures combining cement, fly ash (FA), metakaolin (MK) and HL were produced with different water-to-binder (W/B) ratios. Workability, compressive strength and resistance to accelerated carbonation were experimentally assessed. The results show that workability is primarily governed by the W/B ratio and decreases at high HL contents. Although FA and MK improve mechanical performance, they increase carbonation susceptibility due to reduced alkaline reserve. For the mixtures investigated, moderate HL incorporation into the mortar composition mitigates carbonation, reducing carbonation depth by up to 30–50% relative to the reference mixture. Curing in lime-saturated water does not provide additional benefits under the conditions investigated when compared with conventional water curing.
]]>Authors: Diego Vargas Monica Arango Carlos E. Arrieta
This research evaluates the technical and financial feasibility of green hydrogen production in Colombia using Small Hydropower Plants (SHPs), positioning them as a strategic complement to intermittent sources such as solar and wind. To address an underexplored niche in the national hydrogen roadmap, the study applies a Real Options framework, specifically using a binomial tree model, and incorporates the Weibull distribution to estimate risk-adjusted discount rates. This methodological combination allows for the modeling of operational flexibility under uncertainty, particularly through the analysis of an American-style abandonment option. The results indicate that SHPs provide continuous power generation, enhance electrolyzer efficiency, lower the Levelized Cost of Hydrogen (LCOH), and improve cash flow. However, fiscal incentives and high initial capital costs remain limiting factors. The study proposes extending the evaluation horizon to 15 years and implementing mechanisms such as Capital Expenditures (CAPEX) subsidies to improve project viability. Overall, the research contributes to the diversification of Colombia’s energy matrix, encourages regional development, and supports the positioning of green hydrogen as a viable financial asset within the country’s energy transition framework.
]]>Authors: Miguel F. Arevalo-Castiblanco Duvan Tellez-Castro Eduardo Mojica-Nava
This paper introduces a distributed sensitivity-conditioning approach for bilevel optimization in networked microgrids. The proposed method enhances the coordination between subsystems by embedding sensitivity-based predictive terms into the dynamic updates, thereby improving convergence stability without requiring strict time-scale separation. Unlike conventional singular perturbation techniques, the sensitivity-conditioning formulation enables faster and more robust convergence of the distributed dynamics under heterogeneous subsystem speeds. The approach is applied to a networked microgrid scenario where local agents perform decentralized optimization considering both internal generation and energy exchange with neighboring microgrids. Simulation results demonstrate that the proposed algorithm achieves efficient coordination, reduces convergence time, and maintains stability under diverse operating conditions. The results highlight the method’s potential as a scalable and computationally efficient alternative for real-time distributed energy management and bilevel control in power network applications.
]]>Authors: Bruno Barać Katija Kalebić Jakupčević
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity that impair functioning across multiple situations. Despite extensive research on its clinical presentation, neurobiological substrates, genetic contributions, and environmental risk factors, ADHD remains a heterogeneous disorder with complex comorbidities. This narrative review synthesizes historical and contemporary transdiagnostic perspectives on the development of ADHD, describing models that emphasize shared etiological mechanisms and overlapping symptom dimensions across disorders.
]]>Authors: Sara Mattiello Mattia Latini Greta Vicentini Chiara Giosuè Danilo Nikolic Cristiano Fragassa Valeria Corinaldesi Mattia Merlin Carlo Santulli
Bio-epoxy composites were fabricated by casting a resin–hardener–filler mixture into 3D-printed molds, using different sea-originated secondary raw materials: mussel shell powder (MSP) (63–83 μm) and Posidonia oceanica short fibers (POF) (1–2 mm). Monofiller composites were prepared with 5 or 10 wt.% MSP, or 5 or 10 wt.% POF. Hybrid formulations were also produced, containing both MSP and POF in two combinations, where the total amount of filler again summed up at 10 wt.%. A subset of the samples was conditioned by immersion in a 35 ‰ NaCl solution reproducing seawater composition until saturation was reached. Characterization was carried out on unconditioned and conditioned samples by Shore D hardness and Charpy impact tests while performing three-point flexural loading only on unconditioned ones. Fracture morphology was also investigated. Adding MSP slightly enhanced resin hardness, whereas impact absorption exhibited, to a variable extent, a two-phase behavior, reproducing crack initiation and propagation. The MSP6-POF4 hybrid configuration provided the greatest improvement in absorbed energy (25–30% higher), which was retained after conditioning. The introduction of fillers, first separately, then in combination, resulted in a reduction in flexural strength to a similar extent for all unconditioned configurations. Finally, composite panels containing 10 wt.% MSP, 10 wt.% POF, and a 6MSP–4POF hybrid formulation, intended for prospective boat deck applications, were fabricated and compared with neat bio-epoxy, showing satisfactory consolidation. Density and post-molding dimensional shrinkage were measured on the panels.
]]>Authors: Francesca D’Elia
This study presents an integrated assessment model for evaluating motor skills in trainee generalist primary school teachers. The model integrates objective performance measures with self-reported qualitative observations, aiming to promote body awareness and highlight the quality of movement. A total of 547 university students, divided into two cohorts (2023/24 and 2024/25), completed a battery of standardized field tests and recorded both quantitative results (e.g., times, repetitions) and qualitative reflections on their execution. The findings show that the 2024/25 cohort performed better in balance and muscular endurance, while showing slower times in agility and sprint tests. Qualitative data revealed more fluid execution, a wider range of motor strategies, and greater self-reflection, suggesting a more mature motor profile. These differences are not solely attributable to individual factors; they may also reflect the evolving structure of the training program, the instructional approach, and the learning environment. The integration of objective and subjective data enabled the construction of multidimensional motor profiles, capturing not only outcomes but also processes. This model supports the development of reflective and adaptive motor competence and offers promising applications in teacher training and health promotion, contributing to a more inclusive and effective approach to physical education in primary schools.
]]>Authors: Ehab AlShamaileh Bashar Lahlouh Wadah Mahmoud Mariam Al-Qderat Iessa Sabbe Moosa
Antimony nanomaterials are becoming increasingly important in advanced functional applications, including catalysis, sensing, optoelectronics, and energy systems, motivating the development of reliable synthetic routes capable of producing high-purity Sb at the nanoscale. This study establishes a direct Zn-mediated reduction pathway for converting SbCl3 into elemental Sb using acetone, ethanol, and methanol as reaction media. SbCl3 was first dissolved in each solvent, followed by controlled addition of Zn powder under mild heating (60 °C), magnetic stirring, and ultrasonic agitation. Acetone proved the most effective medium, achieving ~94% of the theoretical Sb yield, while suppressing the formation of the SbOCl intermediate observed in alcoholic solvents. Structural and compositional analyses using XRD and SEM/EDS confirmed the formation of a pure phase, nanocrystalline Sb with mean crystallite sizes of ~25 nm in acetone, ~27 nm in ethanol, and ~21 nm in methanol. TGA/DTA measurements from room temperature up to 800 °C revealed oxidative conversion to off-white antimony oxide under O2 atmosphere and the formation of molten Sb droplets under N2 atmosphere, consistent with the expected thermal transitions of high-purity Sb. Overall, the findings demonstrate that Zn-driven reduction of SbCl3 in high-purity organic media provides an efficient and scalable approach for producing Sb nano-powders with solvent-dependent yields and nanoscale structural characteristics.
]]>Authors: S. M. Shahabaz Niranjan N Prabhu Tanzila Nargis Krishna Kumar P Nagaraja Shetty
Carbon fiber-reinforced polymer (CFRP) composites modified with alumina (Al2O3) and silicon carbide (SiC) nanoparticles were developed to produce hybrid nanocomposites with improved mechanical and thermal characteristics. This study investigates the hot drilling behavior of unidirectional CFRP and hybrid nanocomposites by examining the effects of spindle speed, feed rate, drill diameter, and drill geometry (step, core, and twist). Response Surface Methodology (RSM) and Analysis of Variance (ANOVA) were used to identify the most influential parameters governing drilling-induced damage. ANOVA results revealed that drill geometry was the most dominant factor, contributing more than 89% to delamination, burr formation, and surface roughness, followed by drill diameter with over 7% contribution. For temperature rise, drill geometry accounted for more than 50% of the total variation, while drill diameter contributed over 17%. Among the tools evaluated, the step drill produced the minimum drilling-induced damage, followed by the twist drill. In terms of material performance, the Al2O3-reinforced hybrid nanocomposite exhibited superior drilling behavior compared to the SiC-reinforced and neat CFRP laminates. Overall, the results demonstrate that drilling-induced damage under hot drilling conditions can be effectively minimized through appropriate selection of tool geometry and process parameters, confirming the suitability of hot drilling for machining aerospace-grade CFRP hybrid nanocomposites.
]]>Authors: Javier Dominguez Ricardo Quijano Juan Quijano-Baron
The transition to green hydrogen is critical for achieving sustainable energy systems and climate goals. This study presents MODERHydrogen-H2, a comprehensive framework for assessing solar- and wind-based green hydrogen production, fossil fuel substitution, and greenhouse gas (GHG) reduction. The method integrates Geographic Information Systems (GIS) to optimize renewable energy resource allocation while adhering to sustainability criteria. Applied to four solar sites (2000 MW) in Colombia’s Magdalena–Cauca Basin and three wind projects (1700 MW) in the Caribbean Basin, the model estimates an annual production of 211,074 tons of green hydrogen by 2030. This output could displace 37,221 terajoules of fossil fuels, contributing 2.5% to the national energy matrix and reducing CO2 emissions by 10.09 million tons. MODERHydrogen-H2 demonstrates scalability and adaptability, offering a decision-support tool for global energy transition strategies. Its implementation supports affordable, reliable, and low-carbon energy systems, aligning with Sustainable Development Goals (SDGs) targets. The model offers a single platform from which to simulate renewable energy potential in a sustainable manner within a given geographical area, develop scenarios for modifying the energy matrix of a country or region, simulate rational and efficient water supply and demand for energy uses, including aspects of climate change, calculate green hydrogen production in a sustainable manner, and finally calculate greenhouse gas emissions.
]]>Authors: Paolo Bailo Giulio Nittari Giuliano Pesel Emerenziana Basello Tommaso Spasari Giovanna Ricci
Artificial intelligence (AI) is rapidly shifting from experimental pilots to mainstream clinical infrastructure, redefining how evidence, accountability, and ethics intersect in healthcare. This narrative review integrates insights from peer-reviewed studies and policy frameworks to examine seven cross-cutting aspects: bias and fairness, explainability, safety and quality, privacy and data protection, accountability and liability, human oversight, and procurement and deployment. Findings reveal persistent inequities driven by dataset bias and opaque design; the need for explainability tools that are validated, task-specific, and usable by clinicians; and the centrality of post-market surveillance for sustaining patient safety. Privacy-preserving methods such as federated learning and differential privacy show promise but demand rigorous validation and regulatory coherence. Emerging liability models advocate shared enterprise responsibility, while governance-by-design—embedding transparency, auditability, and equity across the AI lifecycle—appears most effective in balancing innovation with public trust. Ethical, legal, and technical safeguards must evolve together to ensure that AI augments, rather than replaces, clinical judgment and institutional accountability.
]]>Authors: Juan C. Polo Jesus M. Angulo-Mercado Sandra M. Coronado-Ríos Fernando de la Vega Edwin D. Correa Nelson E. Arenas
Pulmonary tuberculosis (TB) produces systemic alterations that can be reflected in biochemical parameters beyond microbiological resolution. Early characterization of the biochemical response to treatment could provide additional criteria for following up with hospitalized patients. A retrospective observational study was conducted focusing on patients with pulmonary TB from a tertiary care hospital, based on biochemical parameters upon admission (“before”) and between 2 and 10 days after starting anti-tuberculosis treatment (“after”). The patients were grouped into three clusters according to the results of the clinical tests: mild (70.1%), inflammatory (26.7%), and severe (3.2%). After the start of treatment, 30% of the patients migrated toward the most biochemically compromised phenotype (Cluster 3). Sixty-one percent showed deterioration in at least one of the three key parameters; only 12.8% improved simultaneously. Significant associations were identified between unfavorable biochemical evolution and HIV (p = 0.004) or patients with public health coverage (p = 0.01). Overall, after antituberculous therapy, a reduction in CRP and leukocytes was observed (p < 0.001), and progressive anemia (ΔHb: −1.7 g/dL) and renal deterioration (ΔCr: +0.52 mg/dL) were identified. The identification of dynamic phenotypes in patients with pulmonary TB can be used to establish early risk markers and contribute to individualized clinical surveillance.
]]>Authors: Juliana Carvajal Guerra Ainhoa Rubio-Clemente Edwin Chica
This study investigates an inlet design for a gravitational vortex turbine (GVT), drawing inspiration from the ancient Nazca puquios. The puquios are ingenious subterranean aqueducts constructed by the Nazca culture (c. 100 BC–800 AD) in southern Peru, featuring spiral ojos de agua (water eyes) used to access groundwater and stabilize flow.The primary objective was to enhance vortex stability and overall GVT efficiency under low-head, low-flow operating conditions. A parametric Nazca-type inlet feeding a conical basin was defined by two controlling factors: the number of turns (N) and the inclination angle (θ). The optimal geometry was determined through a 32 full factorial design, computational fluid dynamics (CFD) simulations, and response surface methodology (RSM), with vortex circulation (Γ) serving as the optimization metric. The best-performing inlet configuration (N=4, θ=13∘) yielded Γ=1.3459 m2/s. This circulation level is comparable to that reported for optimized conventional wrap-around inlets at similar flow rates, but uniquely produced a broader and more symmetric vortex structure. Subsequently, two four-bladed runners (one with twisted blades and one with curved cross-flow blades) were evaluated numerically and experimentally using a laboratory-scale prototype operated at a consistent flow rate (Q≈0.00143 m3/s). CFD predicted maximum efficiencies of 15.37% and 17.07% for the twisted and curved runners, respectively, while experimental tests achieved 8.70% and 11.61%, demonstrating similar efficiency (η) versus angular velocity (ω) characteristics. These results indicate reduced hydraulic effectiveness of the Nazca-inspired geometry for the GVT, with experimental efficiencies below those reported in the literature.
]]>Authors: Edgar-Mario Rico-Mesa Jesus-Antonio Hernandez-Riveros
In recent decades, robotic locomotion has applied different techniques to emulate central pattern generators (CPGs). The theory of CPG explains the biological functions of motor control in living organisms. This paper presents an unpublished model for coupled nonlinear oscillators. This model employs a canonical nonlinear differential equation system to coordinate joint activity. The analysis, conducted under the criteria of chaos and bifurcation theory, determines that the new model is successful and without the presence of chaos. The new model is compared with other cases, including the Wilson–Cowan, Hopf, and Van Der Pol models, as well as with the operability of different robots. It highlights the new model’s advantages in terms of versatility, simplicity, and processing, as well as the comparisons of metrics of locomotion, such as support factor and symmetry index between hemibody metrics. The new model is applied to the locomotion of two quadruped robots (a crab and a dog) used in research on transitions between types of locomotion, considering both physical and computational limitations.
]]>Authors: Francesco Vizzarri Ivana Spevakova Aneta Kisova Jaroslav Slamecka Andrej Balazi Lubomir Ondruska
The aim of this study was to investigate the effect of phyto-additive mixture supplementation on semen quality and on some reproductive parameters after artificial insemination in rabbits. The trial run 120 days on 20 adult New Zealand white rabbit bucks that were allocated into two different groups, first was control (CON; n = 10) fed with commercial pelleted-feed and second was considered experimental group (EXP; n = 10) which received in feed a natural feed additive mixture (0.1% of dried Chlorella vulgaris powder and 0.1% of dried Laurus nobilis leaves powder). Consequently, the quality assessment of semen by the Computer Assisted Semen Analyzer (CASA) system, samples were instrumentally inseminated on rabbit does for two consecutive reproductive cycles, and productive and reproductive indexes were evaluated. Results demonstrate that while spermatozoa concentration and ejaculate volume did not differ significantly among experimental groups or between reproduction cycles, spermatozoa motility parameters were significantly enhanced in rabbits receiving the phyto-additive mixture, as evidenced by increased total motility (87.83% vs. 70.63%) and progressive motility (75.68% vs. 50.10%) compared with the control group (p < 0.01). No differences were observed in prolificacy traits during the first reproductive cycle, whereas in the second cycle the phyto-additive treatment increased the number of kits born alive per litter (12.29 vs. 10.19; p < 0.05) and improved kit growth performance at birth (79.17 vs. 66.75 g), at weaning (1085.28 vs. 963.15 g), and in average daily gain (28.75 vs. 25.61 g/day). The study provides evidence of alternative practises based on feeding programme to enhance reproductive traits in rabbit production. The goal is to provide farmers with examples of good farming practise (such as precision farming), focused on sustainability and efficiency, and a certain transfer of knowledge.
]]>Authors: Jacqueline Marques da Silva Gondim Elaine Silva de Pádua Melo Moisés Centenaro Marta Aratuza Pereira Ancel Valter Aragão do Nascimento
The mineral composition of Ilex paraguariensis is strongly shaped by the physicochemical characteristics and natural fertility of the soils in which it is cultivated. This study evaluated macro- and microelement concentrations in fresh leaves from fourteen rural properties in Mato Grosso do Sul, Brazil, and examined how soil texture, pH, organic matter content, cation exchange capacity (CEC), and aluminum saturation influence nutrient availability and foliar accumulation. Soil, leaf, and environmental data were analyzed using ANOVA, intraclass correlation coefficients, Bayes factors, and principal component analysis (PCA). Sandy and dystrophic soils with low CEC and reduced organic matter showed greater variability in micronutrient retention and favored leaching, resulting in higher fluctuations in foliar Cu, Zn, and Mn. In contrast, clayey eutrophic soils with high CEC and higher organic matter promoted greater nutrient stability and more homogeneous foliar concentrations of K, Mg, and P. PCA confirmed that differences in soil geochemistry, particularly in Se, Cr, Mn, and Zn availability, were reflected in leaf composition. Chromium remained low in leaves despite elevated soil levels, indicating restricted uptake and translocation. Overall, the results demonstrate that edaphic conditions govern the nutritional profile of I. paraguariensis, emphasizing the need for region-specific soil management to maintain leaf quality in emerging cultivation areas.
]]>Authors: Ferruccio Giametta Ruggero Angelico Gianluca Tanucci Pasquale Catalano Biagio Bianchi
The agri-food sector is a major contributor to global greenhouse gas emissions while facing increasing demand for food production driven by population growth. Transitioning towards sustainable and low-carbon agricultural systems is therefore critical. Green hydrogen, produced from renewable energy sources, holds significant promise as a clean energy carrier and chemical feedstock to decarbonize multiple stages of the agri-food supply chain. This systematic review is based on a structured analysis of peer-reviewed literature retrieved from Web of Science, Scopus, and Google Scholar, covering over 120 academic publications published between 2010 and 2025. This review provides a comprehensive overview of hydrogen’s current and prospective applications across agriculture and the food industry, highlighting opportunities to reduce fossil fuel dependence and greenhouse gas emissions. In agriculture, hydrogen-powered machinery, hydrogen-rich water treatments for crop enhancement, and the use of green hydrogen for sustainable fertilizer production are explored. Innovative waste-to-hydrogen strategies contribute to circular resource utilization within farming systems. In the food industry, hydrogen supports fat hydrogenation and modified atmosphere packaging to extend product shelf life and serves as a sustainable energy source for processing operations. The analysis indicates that near-term opportunities for green hydrogen deployment are concentrated in fertilizer production, food processing, and controlled-environment agriculture, while broader adoption in agricultural machinery remains constrained by cost, storage, and infrastructure limitations. Challenges such as scalability, economic viability, and infrastructure development are also discussed. Future research should prioritize field-scale demonstrations, technology-specific life-cycle and techno-economic assessments, and policy frameworks adapted to decentralized and rural agri-food contexts. The integration of hydrogen technologies offers a promising pathway to achieve carbon-neutral, resilient, and efficient agri-food systems that align with global sustainability goals and climate commitments.
]]>Authors: Rui Reis Aires Camões Manuel Ribeiro Raphaele Malheiro Élia Fernandes
In contemporary construction practice, concrete surfaces are commonly coated; however, this factor is often disregarded in durability assessments, particularly with respect to carbonation. Such omission may lead to overly conservative designs and unnecessary material consumption. This study evaluates the actual performance of traditional coatings applied to concrete, considering three types of concrete: ordinary Portland cement (OPC), high-volume fly ash (FA), and high-volume FA with a low water-to-binder ratio. The coatings investigated were mainly based on cement and hydrated lime, with the inclusion of a FA-based alternative. Accelerated carbonation tests were performed on coated and uncoated concretes, as well as on coating mortars, while a sensitivity analysis was undertaken using an empirical and semi-probabilistic model across different exposure classes to simulate real service conditions. The results demonstrate excellent performance, with coated concretes achieving on average more than 52% higher resistance compared with uncoated counterparts. These findings indicate that properly designed coatings can enable reductions in cement content while still satisfying durability requirements, thereby contributing to more sustainable reinforced concrete structures.
]]>Authors: Daniel Toral-Acosta Ricardo Chapa-Garcia Romeo Selvas-Aguilar Juan L. López Arturo Castillo-Guzmán Abraham Antonio González-Roque
This research presents a lens-based light collection system that integrates a handmade glass conical waveguide (GCW) with a single silica multimodal optical fiber (SMMF) and a concentrator Fresnel lens (FL). The GCW functions as a secondary optical element (SOE), effectively expanding the fiber’s receptive area and enabling efficient coupling of concentrated light. Calibrated ray-tracing simulations confirm that the complete FL + GCW + SMMF configuration maintains low transmission losses, thereby validating efficient coupling into the SMMF. Experimental results demonstrated a maximum net optical efficiency of 41% at an FL numerical aperture (NA) of 0.08, with GCW transmission reaching 60% and splice losses to the SMMF around 34%. With a luminous flux input of 155 lumens, the system delivered up to 63 lumens at the fiber output. Importantly, the FL + GCW + SMMF configuration combines reproducible fabrication, straightforward assembly, and reliable characterization, establishing a scalable pathway for daylight harvesting. The major contribution of this work is the demonstration that a simple, manufacturable GCW can substantially expand the effective collection area of multimodal fibers while preserving low optical losses, thereby bridging practical design with efficient energy transfer for sustainable photonics applications.
]]>Authors: Francesca Romana Guarnaccia Federica Spadazzi Miriam Ottaviani Nicola Di Fazio Gianpietro Volonnino Lucio Di Mauro Paola Frati Raffaele La Russa
Background and aim: Artificial intelligence (AI) is gaining increasing relevance in orthopaedic surgery, particularly in prosthetic surgery, due to its ability to support preoperative planning through advanced imaging analysis, implant size prediction, and outcome forecasting. However, recent literature shows considerable variability in employed models, evaluated outcomes, and clinical applicability. The objective of this scoping review is to map AI applications in preoperative planning for orthopaedic arthroplasties and to assess their impact on radiographic and clinical outcomes, also discussing key ethical and medicolegal implications within both Italian and international contexts. Materials and methods: A literature review was conducted following scoping review methodology. The bibliographic search (10 September 2025) was performed in PubMed and Scopus using the query “preoperative planning WITH artificial intelligence AND prosthesis orthopaedic surgery AND outcomes”, restricted to the years 2020–2025, English-language studies, and research focused specifically on real-world AI techniques applied to preoperative planning in prosthetic surgery, reporting radiographic and/or clinical outcomes related to planning. Exclusion criteria included intra/postoperative studies, non-orthopaedic applications, robotic surgery, studies lacking clinical outcomes, case reports, and articles without full-text availability. After PRISMA screening and selection, 42 primary studies were included. Results: Of the 42 studies included, 20 focused on the hip, 19 on the knee, and 3 on the shoulder. Available evidence indicates that AI may improve templating accuracy and prosthetic component positioning, with more robust results in hip and knee arthroplasty, while applications in shoulder arthroplasty remain emerging. Nonetheless, important methodological limitations persist, including algorithm heterogeneity. Discussion: Overall, the findings suggest a promising role for AI in preoperative planning; however, the heterogeneity and variable quality of the evidence call for caution in interpretation and highlight the need for more rigorous prospective research. These considerations also carry relevant medicolegal implications, as the reliability and standardisation of AI-based tools represent essential prerequisites for their safe and conscious integration within diverse regulatory frameworks. Conclusions: AI appears to be a promising tool in the preoperative planning of orthopaedic arthroplasties, although further clinical validation and methodological standardisation are required. The evidence gathered also provides a useful foundation for addressing the associated medicolegal and regulatory implications, particularly in light of evolving Italian and European regulations and their differences from U.S. models.
]]>Authors: Manuela Simões David Ferreira Ana Coelho Marques Ana Rita F. Coelho
Arsenic (As) accumulation in rice (Oryza sativa L.) is considered a major environmental and food safety concern, particularly in flooded agroecosystems where reducing conditions mobilize As from soils. Portugal is one of Europe’s rice producers, especially in the Tejo, Almansor, and Sorraia valleys. As such, this study evaluates As pathways across 5000 ha of rice fields in the Tagus, Sorraia, and Almansor alluvial plains by combining soil, water, and plant analyses with a geostatistical approach. The soils exhibited consistently elevated As concentrations (mean of 18.9 mg/kg), exceeding national reference values for agricultural soils (11 mg/kg) and forming a marked east–west gradient with the highest levels in the Tagus alluvium. Geochemical analysis showed that As is strongly correlated with Fe (r = 0.686), indicating an influence of Fe-oxyhydroxides under oxidizing conditions. The irrigation waters showed low As (mean of 2.84 μg/L for surface water and 3.51 μg/L for groundwater) and predominantly low sodicity facies, suggesting that irrigation water is not the main contamination vector. In rice plants, As accumulation follows the characteristic organ hierarchy roots > stems/leaves > grains, with root concentrations reaching up to 518 mg/kg and accumulating progressively in the maturity phase. Arsenic content in harvested rice grains was 266 μg/kg (with a maximum of 413.9 μg/kg), being close to EU maximum limits when considering typical inorganic As proportions, assuming 60 to 90% inorganic fraction. Together, the findings highlight that a combined approach is essential, and identify soil geochemistry (and not irrigation water) as the primary source of As transfer in those agroecosystems, due to the flooded conditions that trigger the reductive dissolution of Fe oxides, releasing As. Additionally, the results also identified the need for targeted monitoring in areas of elevated As content in soils and support future mitigation through As speciation analysis, cultivar selection, improved fertilization strategies, and water-management practices such as Alternate Wetting and Drying (AWD), to ensure the long-term food safety.
]]>Authors: Ignacio Emilio Chica Arrieta Vladimir Llinás Chica Angela Patricia González Parias Ainhoa Rubio-Clemente Edwin Chica
The present study describes the ten-year (2014–2024) validation of a Class 100,000ISO 8 qualified air system used in the manufacture of non-sterile pharmaceutical dosage forms in a GMP-certified facility. The lifecycle evaluation included design, installation, qualification, continuous operation, environmental monitoring, cleaning and disinfection verification, and annual third-party validation. The system was assessed for critical parameters, including air renewal rates, airflow directionality, the integrity of high-efficiency particulate air (HEPA) filters and ultra-low penetration air (ULPA) filters, environmental recovery times, and non-viable particle counts. Particle monitoring focused on 0.5 μm and 1.0 μm channels within the 0.5–5 μm range specified by ISO 14644-1 for ISO 8 areas. The 0.5–1.0 μm range was prioritized because it provides higher statistical representativeness for evaluating filter performance and controlling fine particulate dispersion, which is particularly relevant in non-sterile pharmaceutical production, while larger particles (>5 μm) are more critical in aseptic processes. The influence of personnel and air exchange rates on cleanliness was also assessed during the final years of the study. Results demonstrate that continuous, systematic validation ensures the controlled environmental conditions required for pharmaceutical production and supports the sustained quality and safety of the finished products. This study provides a technical reference for engineers, pharmacists, and quality professionals involved in cleanroom design, qualification, and regulatory compliance.
]]>Authors: Walery Okulicz-Kozaryn
This study analyzes the observed patterns of Generative Artificial Intelligence (Generative AI) use by students in higher education through the lens of the sociotechnical systems (STS) theory, focusing on the academic subsystem. The empirical basis is a survey of 2083 students (3686 responses) from seven countries in Central and Eastern Europe, Central Asia, and Central Africa. Based on these data, two proxy indicators are proposed: A1, reflecting the overall academic use of Generative AI and A2, characterizing the use of Generative AI in a research context. The results show that Generative AI is widely incorporated into students’ academic activities (A1 = 79.06%), while research-oriented use remains less common (A2 = 46.66%) and varies significantly across subsamples. A joint analysis of A1 and A2, visualized as a zoned space A1–A2, reveals different configurations of academic practices: from a predominance of routine educational use to a more pronounced focus on research tasks. Cross-country comparisons show that in certain contexts (e.g., Kazakhstan and one of the Ukrainian subsamples), Generative AI is more often used in a research context, while in other cases, its use remains predominantly educational and routine. In this sense, the results indicate that Generative AI is beginning to fulfill the role of an emerging student research assistant in students’ academic life: technology has already become a familiar tool for completing educational tasks, but its use in supporting research activities remains fragmented. The proposed model and proxy indicators allow us to describe and compare current configurations of Generative AI use in the academic subsystem. The obtained results provide a basis for further research aimed at a deeper understanding of the factors determining the inclusion of Generative AI in student research practice, as well as for the development of management approaches regarding its use in higher education.
]]>Authors: Anastasia Keremi Antonia Kaltsatou Anna Tsiakiri Dimitrios Tsiptsios Sotirios Botaitis Foteini Christidi Vasilis-Spyridon Tseriotis Maria Voulgari Pinelopi Vlotinou Aspasia Serdari Kostas Anagnostopoulos Gregory Tripsianis
This study aimed to examine the association between physical activity and individuals’ health status, healthcare utilization, socio-demographic characteristics, and health behaviors in a large representative sample from Northern Greece. A cross-sectional study was conducted involving 1227 participants (47.4% males, mean age 49.94 ± 14.87 years) from Thrace, Greece, selected through a two-stage stratified sampling method. According to the Greek version of IPAQ, participants were classified as inactive/insufficiently active, sufficiently and highly active. Data on socio-demographic, lifestyle, and health-related variables were collected through structured interviews. Multivariate logistic regression analysis was performed to determine the independent effect of physical activity on subjects’ characteristics using SPSS ver. 19. Half of the participants (49.8%) were inactive/insufficiently active, 418 participants (34.1%) were sufficiently active, and 198 participants (16.1%) were highly active. In univariate analysis, smoking (p < 0.001), higher coffee consumption (p = 0.002), higher adherence to Mediterranean diet (p < 0.001), napping during the day (p = 0.017) and short sleep duration (p < 0.001) were associated with lower prevalence of high activity. In adjusted analyses, sufficiently active participants had a lower risk for bad self-rated health (aOR = 0.63), hypertension (aOR = 0.41), dyslipidemia (aOR = 0.42), diabetes (aOR = 0.53), obesity (aOR = 0.61), cardiovascular diseases (aOR = 0.43), anxiety (aOR = 0.65), depression (aOR = 0.56), daily sleepiness (aOR = 0.62), poor sleep quality (aOR = 0.71), as well as for primary (aOR = 0.54) and secondary (aOR = 0.40) healthcare utilization compared to inactive participants. Higher-intensity physical activity did not enhance these beneficial effects of sufficient activity on subjects’ characteristics. Physical inactivity significantly compromises health across multiple domains. Promoting even moderate-intensity physical activity may reduce chronic disease burden and healthcare utilization.
]]>Authors: Fahima Djefaflia Farida Khammar Nadir Hachemi Elfahem Sakher Nozha El Ahlem Doghmane Mounir Sakmeche Houssem Eddine Doghmane Leila Belgacem Lala Gahramanli Talia Tene Cristian Vacacela Gomez
This study examines the functional degradation of crystalline silicon photovoltaic cells after 17 years of field exposure in the Adrar Desert, Algeria. Harsh thermal, radiative, and mechanical conditions accelerate aging, affecting electrical performance and structural stability. Monocrystalline silicon cells were extracted and analyzed by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), Raman spectroscopy, electrical resistivity measurements, and vibrating sample magnetometry (VSM). SEM revealed microcracks, delamination, and corrosion products. EDS showed Ag, Si, O, and C signals, while Raman indicated silicon features and signatures consistent with encapsulant (EVA) degradation. The temperature-dependent resistivity displayed a dual behavior with a minimum near ~72 °C, above which resistivity increased, consistent with a transition in the dominant transport mechanisms. VSM measurements showed an overall diamagnetic response with a weak hysteresis loop suggestive of defect-related contributions. The observed aging is primarily associated with oxidation, metal migration, and encapsulant degradation. These findings motivate more robust materials and interfaces for desert climates, alongside improved thermal management and active monitoring.
]]>Authors: José Carlos Cabrera Linares Juan Antonio Párraga Montilla Pedro Ángel Latorre Román Rafael Moreno del Castillo Mirella Pacheco González
Background: CrossFit® is a high-intensity functional training modality with increasing popularity, yet limited evidence describes the general profile of its practitioners. Objective: To characterize CrossFit® athletes based on their training habits, injury prevalence, and nutritional supplement use, with specific consideration given to sex and age. Methods: An online questionnaire was completed by 358 practitioners (182 women; mean age 35.6 ± 9.1 years) from various Spanish regions. Descriptive and comparative analyses (χ2 and ANOVA; p < 0.05) were conducted for training patterns, injury history, and supplement consumption. Results: Over half of the sample had practiced CrossFit® for more than three years, typically training 3–4 days per week in one-hour sessions. Participants primarily reported social and health-related motivations and identified as non-competitive. Overall, 42.2% experienced at least one CrossFit®-related injury, most frequently affecting the shoulder (15.6%) and lumbar spine (10.1%), largely attributed to repetitive overload. Supplement use was widespread (81.8%), with creatine (60.3%) and protein (49.4%) being the most commonly consumed. Conclusions: CrossFit® practitioners train consistently, value the social environment, and show an injury pattern similar to that of other strength-based disciplines. Supplement consumption is highly prevalent across groups. Coaches and health professionals should prioritize injury-prevention strategies, promote safe load progression, and guide responsible supplement use.
]]>Authors: Albandari Alsumayt Naya Nagy Shatha Alsharyofi Resal Alahmadi Renad Al-Rabie Roaa Alesse Noor Alibrahim Amal Alahmadi Fatemah H. Alghamedy Zeyad Alfawaer
This study aims to enhance the security of unmanned aerial vehicles (UAVs) within the Internet of Drones (IoD) ecosystem by detecting and preventing Denial-of-Service (DoS) attacks. We introduce DroneDefender, a web-based intrusion detection system (IDS) that employs machine learning (ML) techniques to identify anomalous network traffic patterns associated with DoS attacks. The system is evaluated using the CIC-IDS 2018 dataset and utilizes the Random Forest algorithm, optimized with the SMOTEENN technique to tackle dataset imbalance. Our results demonstrate that DroneDefender significantly outperforms traditional IDS solutions, achieving an impressive detection accuracy of 99.93%. Key improvements include reduced latency, enhanced scalability, and a user-friendly graphical interface for network administrators. The innovative aspect of this research lies in the development of an ML-driven, web-based IDS specifically designed for IoD environments. This system provides a reliable, adaptable, and highly accurate method for safeguarding drone operations against evolving cyber threats, thereby bolstering the security and resilience of UAV applications in critical sectors such as emergency services, delivery, and surveillance.
]]>Authors: Radoslav Abrashev Ekaterina Krumova Penka Petrova Rumyana Eneva Vladislava Dishliyska Stephan Engibarov Yana Gocheva Galina Stoyancheva Jeny Miteva-Staleva Lyudmila Yovchevska Boryana Spasova Vera Kolyovska Maria Angelova
In recent years, sialidases (neuraminidases) derived from non-clinical sources have attracted considerable interest due to their potential applications in the food and pharmaceutical industries. A deeper understanding of the mechanisms regulating sialidase synthesis could lead to more efficient enzyme production. Induction is considered a key regulatory mechanism. However, there is a lack of data on the regulation of sialidase synthesis in filamentous fungi. This study examines how regulatory mechanisms influence the production of a sialidase enzyme exhibiting high activity at low temperatures in the Antarctic fungal strain Penicillium griseofulvum P29. The inclusion of high- and low-molecular-weight substances possessing terminal non-reducing N-acetylneuramyl groups in the tests led to a marked enhancement of sialidase activity. The strongest induction response was elicited by sialic acid, followed by glycomacropeptide, milk whey, N-acetylglucosamine, N-acetylmannosamine, and colominic acid. RT-qPCR experiments demonstrated that induction occurs at the transcriptional level of the sialidase gene. Biochemical analysis elucidates the function of inducers as triggers in the de novo synthesis of the enzyme protein. To our knowledge, this is the first study to highlight the importance of regulatory mechanism induction in the synthesis of cold-active sialidases.
]]>Authors: Andrés David Romero Restrepo Mario Antonio Salom Corrales Manuel Saba Ramón Torres Ortega Oscar E. Coronado-Hernández
This study evaluated the feasibility of using recycled plastics (PP, HDPE, and PET) for sustainable construction applications. Materials were collected, processed, and extruded following a structured methodology, and their physico-mechanical and environmental properties were assessed through standardized tests, including compression, flexural strength, water absorption, porosity, and apparent density. Compression tests showed that increasing the processing temperature led to a reduction in the compressive strength of polypropylene (PP), while high-density polyethylene (HDPE) achieved its highest strength at the lowest temperature. Polyethylene terephthalate (PET) exhibited a similar decreasing trend with temperature. The processing speed, expressed as revolutions per minute (rpm), had little influence on PP and HDPE performance but positively affected PET, where higher rpm consistently improved compressive strength. Flexural tests revealed that higher rpm values enhanced the mechanical performance of PP and HDPE. However, for PP, an increase in processing temperature resulted in a pronounced decline in flexural strength. Overall, PP and HDPE outperformed PET, reaching compressive strengths near 10 MPa compared to values below 4 MPa for PET. In flexural tests, PP achieved 44 MPa, followed by HDPE with 25 MPa. Water absorption remained below 1% for all materials. The study is limited to physico-mechanical characterization and does not include microstructural or thermal analyses to assess crystallinity, degradation, or molecular orientation. Future research will focus on advanced thermal–chemical characterization and process optimization—particularly for PET—to improve ductility and expand the applicability of recycled plastics in construction.
]]>Authors: Sándor Kálvin Berhane Nugusse Zereay György Juhász Csaba Major Péter Petrik Zoltán György Horváth Miklós Fried
Ellipsometric mapping measurements and Bayesian evaluation were performed with a non-collimated, imaging ellipsometer using an LCD monitor as a light source. In such a configuration, the polarization state of the illumination and the local angle of incidence vary spatially and spectrally, rendering conventional spectroscopic ellipsometry inversion methods hardly applicable. To address these limitations, a multilayer optical forward model is augmented with instrument-specific correction parameters describing the polarization state of the monitor and the angle-of-incidence map. These parameters are determined through a Bayesian calibration procedure using well-characterized Si-SiO2 reference wafers. The resulting posterior distribution is explored by global optimization based on simulated annealing, yielding a maximum a posteriori estimate, followed by marginalization to quantify uncertainties and parameter correlations. The calibrated correction parameters are subsequently incorporated as informative priors in the Bayesian analysis of unknown samples, including polycrystalline–silicon layers deposited on Si-SiO2 substrates and additional Si-SiO2 wafers outside the calibration set. The approach allows consistent propagation of calibration uncertainties into the inferred layer parameters and provides credible intervals and correlation information that cannot be obtained from conventional least-squares methods. The results demonstrate that, despite the broadband nature of the RGB measurement and the limited number of analyzer orientations, reliable layer thicknesses can be obtained with quantified uncertainties for a wide range of technologically relevant samples. The proposed Bayesian framework enables a transparent interpretation of the measurement accuracy and limitations, providing a robust basis for large-area ellipsometric mapping of multilayer structures.
]]>Authors: Mohan B. Sannathimmappa Salima Al-Maqbali Chhaya Divecha Manjiri Hawal Rajeev Aravindakshan Khamis Al-Hosni Elham Said Al-Risi Vinod Nambiar
Introduction: The sustained global epidemic of Human Immunodeficiency Virus (HIV) necessitates comprehensive, region-specific surveillance to inform public health policy. This 30-year retrospective observational cohort study delineated the epidemiological patterns, transmission dynamics, treatment efficacy, and long-term clinical outcomes of HIV infection in Oman to strategically align preventative and therapeutic programs with Oman’s Vision 2040 framework. Methods: We analyzed the clinical and epidemiological data of 429 confirmed HIV-positive patients with a minimum follow-up period of six months, registered at a secondary care facility in North Batinah, Oman, between January 1995 and December 2024. Predictors of mortality were rigorously assessed utilizing Kaplan–Meier survival analysis and Cox proportional hazards regression models. Continuous variables were evaluated using independent sample t-tests or Mann–Whitney U tests, while categorical variables employed chi-square or Fisher’s exact tests. Results: The cohort exhibited a male predominance (70.6%) with a mean age at diagnosis of 32.8 years (SD ± 12.17). Heterosexual contact constituted the predominant mode of acquisition (56%), followed by bisexual (17%) and homosexual (12%) contacts. Although 67.1% of patients presented with early, asymptomatic disease (WHO Stage 1), opportunistic infections were evident in 28.1% of the cohort, with recurrent sepsis (8.4%) and bacterial pneumonia (3.5%) being the most frequent complications. The WHO clinical stage at presentation was confirmed as a highly significant predictor of survival (p < 0.0001). Stage 1 patients achieved excellent long-term prognosis (approximately 75% survival beyond 30 years), markedly contrasting with Stage 4 patients, whose survival declined sharply (median survival of approximately 8 years, and only 10–15% surviving past 20 years). The tenofovir/emtricitabine/efavirenz regimen showed superior efficacy, achieving 75% survival at 30 years, relative to zidovudine-based regimens, which showed significantly poorer performance (15–20% survival at 20 years). Conclusions: This investigation substantiates the shift toward predominant heterosexual transmission and emphasizes the critical prognostic significance of the clinical stage at diagnosis. Optimal long-term survival mandates prompt diagnosis, timely initiation of contemporary antiretroviral therapies, and sustained viral suppression. These findings offer crucial evidence to strengthen HIV prevention and treatment programs within Oman.
]]>Authors: Salvatore Benfratello Luigi Palizzolo
The present paper concerns a new formulation of the optimal design problem of I-shaped multistep steel beam elements, based on the study of the plastic strain spread occurring in the relevant elements, with the aim of determining the length involved by the plastic deformation related to assigned load conditions and different constrained beam schemes. Material behavior is assumed as elastic–perfectly plastic, and the hypothesis of plane cross-sections is accepted. The functions defining the plastic strain spread are analytically obtained in the framework of Euler–Bernoulli beam theory. The proposed optimal design problem is a minimum volume one and the new constraint imposed on the length of the plasticized portion ensures that the minimum volume beam element also represents a maximum plastic dissipation one. Furthermore, the solution to the optimal design problem guarantees that the obtained multistep beam element ensures protection against brittle failure of the beam end sections, provides optimal cross-sections of the different portions belonging to Class 1 and ensures a suitable minimum value of the elastic flexural stiffness to respect the constraint on the deflection. Explicit reference is made to the so-called Reduced Beam Section (RBS), which characterizes the described multistep beam elements. Actually, the proposed formulation represents an innovative approach to obtaining an optimal beam element that really satisfies all the resistance, stiffness and ductility behavioral requirements. Some numerical applications conclude the paper, and their results are confirmed by appropriate FEM analyses in ABAQUS environment.
]]>Authors: Christos Christoforidis Sofia D. Anastasiadou
Assisted Reproductive Technology Units (ARTUs) constitute a rapidly growing sector in healthcare, where service quality and patient safety are closely intertwined with ethical principles, technological precision, and managerial efficiency. This study aims to explore quality management practices and certification standards—such as ISO 9001, ISO 15189, and ISO 13485—within ARTUs, with the goal of developing a model that enhances patient-centered outcomes. The analysis focuses on the roles of leadership, staff training, and internal auditing mechanisms as key factors for the successful implementation of quality management systems (QMSs). Through a structured literature review and thematic synthesis, this study identifies challenges that ARTUs face in aligning with international standards and highlights strategies that strengthen patient trust, transparency, and continuous improvement. The proposed model connects measurable quality indicators with patient perceptions and experiences, providing a comprehensive framework for sustainable quality development. This article contributes to the academic discourse on healthcare quality governance and offers practical insights for policymakers and administrators seeking to improve patient experience and organizational resilience in reproductive medicine.
]]>Authors: Obada Al-Khatib Ghalia Nassreddine Amal El Arid Abeer Elkhouly Mohamad Nassereddine
IoT-based blockchain technology has improved the healthcare system to ensure the privacy and security of healthcare data. A Blockchain Bridge (BB) is a tool that enables multiple blockchain networks to communicate with each other. The existing approach combining the classical and quantum blockchain models failed to secure the data transmission during cross-chain communication. Thus, this study proposes a new BB verification for secure healthcare data transfer. Additionally, a brain tumor analysis framework is developed based on segmentation and neural networks. After the patient’s registration on the blockchain network, Brain Magnetic Resonance Imaging (MRI) data is encrypted using Hash-Keyed Quantum Cryptography and verified using a Peer-to-Peer Exchange model. The Brain MRI is preprocessed for brain tumor detection using the Fuzzy HaMan C-Means (FHMCM) segmentation technique. The features are extracted from the segmented image and classified using the LeCun Kaiming-based Convolutional ModSwish Neural Network (LCK-CMSNN) classifier. Subsequently, the brain tumor diagnosis report is securely transferred to the patient via a smart contract. The proposed model verified BB with a Verification Time (VT) of 12,541 ms, secured the input with a Security level (SL) of 98.23%, and classified the brain tumor with 99.15% accuracy, thus showing better performance than the existing models.
]]>Authors: Daniela Freitas Ana Rita F. Coelho Ana Coelho Marques João Dias Olga Amaral Manuela Lageiro Manuela Simões
The winemaking industry represents one of the most important sectors of the Mediterranean agrifood economy, generating large amounts of solid residues, especially grape pomace. The study aimed to evaluate during two consecutive harvest years the influence of the production system (conventional vs. organic) and cultivar on the mineral, chemical, and antioxidant composition, as well as the colorimetric properties, of grape pomaces obtained from four Vitis vinifera L. cultivars in Alentejo-Portugal. The results showed that mineral composition was significantly affected by both production system and cultivar, with organic grape pomace showing higher K and Mn contents, whereas Ca and Cu showed consistently higher content under conventional. Protein content tended to increase under organic production, while fiber and fat were overall higher in conventional, particularly in the first year. Sugars displayed strong cultivar specificity, with Arinto showing the highest concentrations (30 to 40%), and considering all cultivars, total phenolic content ranged between 4000 ando 9000 mg GAE/100 g, while antioxidant capacity varied among cultivars and years. Colorimetric parameters were essentially influenced by cultivar and harvest year rather than production system. The PCA revealed that PC1 (44.06%) represented a gradient associated with mineral and antioxidant composition, while PC2 (21.26%) reflected minor variation in color and sugars, and the hierarchical clustering distinguished Syrah and Alicante Bouschet as the cultivars most responsive to production system, whereas Aragonez and Arinto exhibited greater compositional stability across years. Overall, the findings indicate that both cultivar and management practices (organic and conventional) influence the compositional profile of grape pomace, with organic showing a tendency to enhance K, Mn, protein, and antioxidant parameters, whereas conventional practices favored higher levels of Ca, Cu, and fiber. The results provide valuable insights for the valorization of grape pomace and the development of sustainable viticultural strategies in Mediterranean environments.
]]>Authors: Vesna Milanović Andrea Marcelli Alessio Ilari Giorgia Rampanti Kofi Armah Boakye-Yiadom Federica Cardinali Andrea Osimani Cristiana Garofalo Ester Foppa Pedretti Lucia Aquilanti
Background: Hermetia illucens larvae provide a sustainable bioconversion pathway that transforms agro-industrial residues into protein- and nutrient-dense biomass and frass, suitable for animal feed and soil amendment, respectively. Nevertheless, the potential spread of antibiotic resistance (AR) genes and pathogenic microorganisms poses biosafety concerns. This study examined the impact of four residue-based diet formulations; peas and chickpea (D1), peas and wheat (D2), onion and wheat (D3), and wheat with digestate (D4), on microbial safety during the bioconversion process. Methods: Enterococcus spp. (viable counts), Salmonella spp. (presence/absence), and 13 AR genes associated with resistance to tetracyclines, macrolide-lincosamide-streptogramin B, β-lactams, vancomycin, and aminoglycosides were quantified in single substrates, diets, larvae, and frass using qPCR. Results: Principal component analysis revealed diet-driven AR gene profiles. D1 lowered the levels of the greatest number of tested AR genes, particularly erm(B), tetracycline, and β-lactam genes in frass, as well as tet(O) and vanB in mature larvae. In contrast, D2 increased the AR gene levels in frass. All diets except D4 eliminated Salmonella spp. Enterococcus spp. loads varied by diet and larval stage, with D2 reducing counts in frass. Conclusions: Diet composition directly shapes microbial dynamics and AR gene dissemination, indicating that legume-based substrates may enhance biosafety in bioconversion systems.
]]>Authors: Margarita Terziyska Iliana Ilieva Zhelyazko Terziyski Nikolay Komitov
The integration of artificial intelligence into the Industrial Internet of Things (IIoT), supported by edge computing architectures, marks a new paradigm of intelligent automation. Tiny Machine Learning (TinyML) is emerging as a key technology that enables the deployment of machine learning models on ultra-low-power devices. This study presents a systematic review of 110 peer-reviewed publications (2020–2025) identified from Scopus, Web of Science, and IEEE Xplore following the PRISMA protocol. Bibliometric and thematic analyses were conducted using Biblioshiny and VOSviewer to identify major trends, architectural approaches, and industrial applications of TinyML. The results reveal four principal research clusters: edge intelligence and energy efficiency, federated and explainable learning, human-centric systems, and sustainable resource management. Importantly, the surveyed industrial implementations report measurable gains—typically reducing inference latency to the millisecond range, lowering on-device energy cost to the sub-milliwatt regime, and sustaining high task accuracy, thereby substantiating the practical feasibility of TinyML in real IIoT settings. The analysis indicates a conceptual shift from engineering- and energy-focused studies toward cognitive, ethical, and security-oriented perspectives aligned with the principles of Industry 5.0. TinyML is positioned as a catalyst for the transition from automation to cognitive autonomy and as a technological foundation for building energy-efficient, ethical, and sustainable industrial ecosystems.
]]>Authors: Dileep G. Nair Ralf Weiskirchen
Liver fibrosis is a common pathological result of chronic hepatic injury caused by various factors, such as viral hepatitis, alcohol-induced liver disease, and metabolic dysfunction-associated steatohepatitis (MASH). It is characterized by an excessive deposition of extracellular matrix, which disrupts the architecture of the liver and can lead to cirrhosis, liver failure, and hepatocellular carcinoma. Globally, nearly 10% of the population has significant fibrosis, with its prevalence increasing with age, obesity, and metabolic syndrome. Despite its significant clinical impact, early detection of liver fibrosis is still limited due to insufficient diagnostic technologies and low public awareness. The increasing burden of MASH emphasizes the urgent need for scalable therapeutic strategies. Currently, liver transplantation is the only definitive treatment, but it is limited by donor shortages and the need for lifelong immunosuppression. However, fibrosis is now recognized as a dynamic and potentially reversible process if the underlying cause is addressed. This shift in understanding has prompted efforts to develop pharmacological agents that target hepatic stellate cell activation, immune system interactions, and metabolic dysfunction. Advances in organoid platforms, multi-omics, and non-invasive diagnostics are accelerating translational research in this area. This review aims to synthesize current knowledge about the molecular drivers of fibrosis, bottlenecks in the current anti-fibrotic drug discovery process, and emerging therapeutic approaches to inform precision medicine strategies and reduce the global burden of chronic liver disease.
]]>Authors: Luis Fernando Grisales-Noreña Daniel Sanin-Villa Oscar Danilo Montoya Rubén Iván Bolaños Kathya Ximena Bonilla Rojas
This paper presents an intelligent operational strategy that performs the coordinated dispatch of active and reactive power from PV distributed generators (PV DGs) and Distributed Static Compensators (D-STATCOMs) to support secure and economical operation of active distribution networks. The problem is formulated as a nonlinear optimization problem that explicitly represents the P and Q control capabilities of Distributed Energy Resources (DER), encompassing small-scale generation and compensation units connected at the distribution level, such as PV generators and D-STATCOM devices, adjusting their reference power setpoints to minimize daily operating costs, including energy purchasing and DER maintenance, while satisfying device power limits and the voltage and current constraints of the grid. To solve this problem efficiently, a parallel version of the Population Continuous Genetic Algorithm (CGA) is implemented, enabling simultaneous evaluation of candidate solutions and significantly reducing computational time. The strategy is assessed on the 33- and 69-node benchmark systems under deterministic and uncertainty scenarios derived from real demand and solar-generation profiles from a Colombian region. In all cases, the proposed approach achieved the lowest operating cost, outperforming state-of-the-art metaheuristics such as Particle Swarm Optimization (PSO), Sine Cosine Algorithm (SCA), and Crow Search Algorithm (CSA), while maintaining power limits, voltages and line currents within secure ranges, exhibiting excellent repeatability with standard deviations close to 0.0090%, and reducing execution time by more than 68% compared with its sequential counterpart. The main contributions of this work are: a unified optimization model for joint P–Q control in PV and D–STATCOM units, a robust codification mechanism that ensures stable convergence under variability, and a parallel evolutionary framework that delivers optimal, repeatable, and computationally efficient energy management in distribution networks subject to realistic operating uncertainty.
]]>Authors: Emma Kelsey Greta Ness Grayce Bjugan Darci Wiseman Terence Moriarty
Research suggests that overweight/obese adults (BMI ≥ 25 kg/m2) have an elevated risk of cognitive decline. Although exercise is recommended to improve both physical and cognitive health, adherence is often low in this population. Virtual reality (VR) is an emerging strategy that may enhance exercise engagement. This pilot study compared the effects of traditional (TRAD) cycling and VR-based exercise on cognitive performance and prefrontal cortex (PFC) oxygenation (O2Hb). Eleven adults (M = 6, F = 5; BMI: 31.1 ± 2.8 kg/m2; VO2max: 30.4 ± 5.7 mL/kg/min) completed a VO2max test and two 16 min moderate-intensity cycling sessions (TRAD, VR) on separate days, each followed by a Stroop task (four rounds of 30 trials). Exercise intensity did not differ between conditions (TRAD: %HRmax 73.9 ± 4.2, RPE 12.9 ± 1.5, BLa− 2.5 ± 1.3; VR: %HRmax 74.0 ± 5.6, RPE 12.7 ± 1.4, BLa− 2.7 ± 1.7). Stroop accuracy was similar between conditions; however, response time was faster post-TRAD in round two (p = 0.005) and round three (p = 0.004). No significant differences in PFC O2Hb were observed. These preliminary results suggest that both TRAD cycling and VR-based exercise are feasible modes of moderate-intensity exercise in overweight/obese adults, with largely comparable post-exercise cognitive outcomes. Larger, counterbalanced studies are warranted.
]]>Authors: Behnam Boobani Juris Grants Žermēna Vazne Katrina Volgemute Aleksandrs Astafičevs Rihards Leja Daido Dagne Brūvere Renars Licis Sergejs Saulite Artur Litwiniuk
This study aims to report the first Latvian version of the RESTQ-76, focusing on its internal validity, reliability, structural validity, and the relationships between the factors of the questionnaire. A total of 394 athletes (225 men and 169 women), aged 18–30 years (average age = 21, SD = 1.65), participated in the study. They were recruited from various sports clubs and universities. The RESTQ-76 was translated into Latvian through a forward-backward translation process to ensure accuracy of cultural relevance. To examine the questionnaire’s structure, principal component analysis (PCA) was performed. This analysis revealed a stable four-factor model comprising 18 scales, with acceptable fit indices (RMSEA = 0.089, CFI = 0.914, TLI = 0.896, NFI = 0.889), indicating good model fit. The psychometric validity of the Latvian version is supported by the original, indicating it is appropriate for use in sports settings throughout Latvia. As research on training load and recovery continues to expand, tools like the RESTQ-76 are becoming increasingly important. They help athletes and coaches monitor recovery and stress levels, which is essential for optimizing performance and preventing overtraining in competitive sports.
]]>Authors: Altynshash Rakhat Aizada Marat Gulnara Sakhipova Yesbolat Sakko Gulzhanat Aimagambetova
Cervical cancer remains the fourth most common malignancy among women worldwide. Despite well-developed prevention measures, incidence and mortality continue to rise, especially in low- and middle-income countries due to low screening coverage and unavailability of human papillomavirus (HPV) vaccination. The cervical cancer screening coverage could be improved by the implementation of a self-sampling modality for HPV testing. Multiple research pieces support the validity and reliability of a self-sampling modality as an alternative approach to clinician-collected samples for primary cervical cancer screening via HPV genotyping. Moreover, growing research evidence on the self-sampling modality reception shows high acceptance of the method among screened populations. Studies on the self-sampling approach economic efficiency also revealed a high cost-effectiveness of HPV testing through a self-sampling modality compared to other screening modalities for cervical cancer. It is specifically important for low-resource settings, which should use the self-sampling cost advantages to improve cervical cancer screening coverage by attracting underscreened populations. Overall, self-sampling modality has a higher participation rate and better patient satisfaction reported; thus, the method is highly recommended by the World Health Organization for cervical cancer screening.
]]>Authors: Ruth Vella-Tonna Robert Vassallo-Agius Everaldo Attard
The Mediterranean Sea is recognized for its high biodiversity but is also a hotspot for pollution. In this study, fish samples of four native marine species were collected from wild catches to determine contaminants such as Anisakis parasites and heavy metals, including nickel, lead, copper, zinc, and chromium, within local marine fish species. The detection of Anisakis parasites was performed by a visual inspection and a digestion method. Metal analysis was carried out on skin, muscle, viscera, and bones of fish, using Microwave Plasma-Atomic Emission Spectroscopy. This study demonstrated that Boops boops was the least infested species by Anisakis parasite, while Scomber colias was the most infested, with Sardinella aurita and Trachurus trachurus showing a lower infestation rate. Pearson correlation statistics revealed that infestation correlated with fish size but not with maturity or sex. Principal component analysis (PCA) demonstrated that the carnivorous species were more prone to Anisakis infestation than the omnivorous species. The maximum levels of copper, nickel, chromium, lead, and zinc content in fish tissues were 13.2 ± 0.11, 19.5 ± 0.02, 19.9 ± 0.01, 28.8 ± 0.09, and 184.87 ± 0.63 µg/g, respectively. PCA revealed that heavy metal contamination does not discriminate between fish species and sex, as opposed to tissue type and location of catch. Some metals, such as zinc and lead, seem to accumulate more in muscle rather than the other tissues. These findings indicate that Anisakis infestation and heavy metal analysis should be monitored and extended beyond the current EU requirements.
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