Search Results (79,136)

Feed supplements play a crucial role in improving and maintaining fish health in modern aquaculture practices. Squalene is a functional lipid naturally present in fatty tissues, possessing numerous beneficial biological properties and wide applications in the food and pharmaceutical industries. In this study, the effects of 100 mg/kg (S1), 200 mg/kg (S2), 300 mg/kg (S3), and 400 mg/kg (S4) of dietary squalene supplementation over four weeks on growth performance, antioxidation, hepatoprotection, hypoxia tolerance, immune relative genes expression, and disease resistance of largemouth bass (Micropterus salmoides) were assessed. The results showed that squalene supplementation significantly increased the weight gain rate (WGR) and specific growth rate (SGR) of largemouth bass (p < 0.05). Serum glucose (GLU) levels were significantly decreased in all squalene-supplemented groups (p < 0.05). Squalene supplementation had minimal effect on serum triglyceride (TG) and total cholesterol in (TCHO) levels. A decrease in malondialdehyde (MDA) level, but accompanied by increases in superoxide dismutase (SOD) and hepatic catalase (CAT) activities, was observed in the S1 group supplemented with squalene. These suggest that squalene may mitigate free radical damage and promote health in largemouth bass. Dietary squalene supplementation enhanced intestinal enzyme activities (trypsin, lipase, and α-amylase) in largemouth bass without inducing any apparent hepatic or histopathological alterations. Squalene supplementation improved hypoxia tolerance and antiviral gene expression (mx, ifn-γ, and irf3) while suppressing the expression of inflammatory cytokine (il-1β, il-8, and tnf-α). The survival rate following LMBRaV infection was significantly higher in the S1 group (100 mg/kg group) compared to the control (p < 0.05). In conclusion, this study demonstrated that adding squalene into the diet of largemouth bass at an optimal level of 100 mg/kg effectively promotes growth performance, enhances digestive enzyme activity and hypoxia tolerance, and modulates lipid metabolism and immune gene expression, thereby contributing to improved resistance against LMBRaV. These findings confirm that squalene can serve as a beneficial functional feed additive in aquaculture. Full article

The use of non-biodegradable plastic food packaging materials has become a major environmental concern. These plastics release chemicals and microplastics during degradation, harming wildlife and entering the food chain, posing risks to both environmental and human health. This study aimed to evaluate electrospun poly(vinylpyrrolidone) (PVP) mats incorporating natural antibacterial Thymus vulgaris L. extract (TE) and natural crosslinker citric acid (CA) as alternative food packaging materials. Packaging mats with TE and/or CA combinations in PVP were evaluated for their structural, chemical, optical, and shelf-life-enhancing effects on blueberries. The results show that dissolving PVP in TE extract and adding CA in PVP ethanol-water or TE-based solutions significantly affected the viscosity and conductivity of the electrospinning solutions, thereby influencing the morphology of electrospun mats. FTIR analysis confirmed the incorporation of TE into the polymer and indicated CA induced hydrogen bonding, interactions that may reduce the polymer chain mobility and increase the brittleness of the electrospun mat. In tests with blueberries, it was estimated that the commonly used traditional food film minimized blueberry weight loss, whereas the porous electrospun PVP and PVP/TE mats allowed greater moisture release and preserved better visual quality by reducing wrinkling and dehydration. Overall, electrospun PVP-based mats functionalized with TE show promise as sustainable food packaging materials that balance moisture management with product appearance. Full article

Background: The integration of active breaks during the school day has been widely demonstrated to be effective in counteracting sedentary behaviors. The present study assessed the efficacy of a structured active breaks (ABs) intervention implemented during recess on multiple domains of Physical Literacy (PL) in primary-school children. Methods: A single-blind randomized controlled trial was conducted with 139 children (aged 9–10 years). Classes were randomized into an Experimental Group (EG, n = 66) and a Control Group (CG, n = 73). The EG participated in an 8-week intervention (six sessions/week, ~10 min) consisting of coordinative and interdisciplinary motor tasks during recess. Pre- and post-intervention assessments included physical fitness (SLJ, 4 × 10 m SR, 6MWT, MBT), gross motor skills (TGMD-2), selective attention (Bell Test), physical activity levels (PAQ-C), physical self-perception (PSP), and enjoyment (PACES). Results: A mixed-design MANOVA revealed a significant multivariate Time × Group interaction (p < 0.001). Univariate analyses showed significant improvements in the EG compared to the CG for explosive strength (p < 0.001), agility (p < 0.001), Gross Motor Quotient (p = 0.003), and selective attention (p < 0.001). Furthermore, the EG demonstrated significant increases in physical activity levels, self-perception, and enjoyment (p < 0.05). No significant gender interaction was found, indicating equal effectiveness for boys and girls. Conclusions: Transforming recess into a structured opportunity for movement through ABs effectively enhances physical, cognitive, and affective domains. This intervention represents a sustainable strategy for Health-Promoting Schools to foster PL and psychophysical well-being without reducing curricular instruction time. Full article

Road safety barriers represent a core component of the road with relevant consequences on effective safety for users. Maintaining these components in adequate conditions, within the quality admissibility thresholds, in compliance with all economic and management constraints, is a primary need for road administrators. In this paper, the authors propose an original procedure to classify the state of efficiency of road safety barriers, at the network scale and relying on conventional administrative data, in an optimized BIM environment, to simplify evaluations and management procedures. Through purpose-built algorithms based on selected geometric and functional parameters of the different road barriers, the algorithm provides a preliminary classification of the various segments, evidencing attention class indicators, useful as preliminary alert signals and for anticipating detailed investigations that can ensure significant economic efficiencies. The method was tested on a 10 km long motorway segment in Italy, evidencing the potential advantages of such an innovative approach to support, as a final goal, a comprehensive infrastructure digital model for virtual inspections, evaluating road component “health” state and properly implementing maintenance strategies. This approach improves network-scale monitoring and maintenance-related activity prioritization phases for road safety barriers, leveraging administrative data. This methodology functions as a BIM-based asset screening tool, as it offers a digital decision support system that identifies critical segments, to optimize the allocation of physical resources and prioritize on-site inspections where they are most needed. Full article

Healthcare-associated infections (HAIs) remain a significant global challenge, affecting approximately 7% of patients in developed countries and over 10% in developing regions, according to the World Health Organization. Medical textiles, particularly hospital bed linens and pillowcases, play a critical role in the transmission of pathogenic microorganisms due to their porous structure and moisture-retaining properties, which support microbial survival and proliferation, including bacteria such as Staphylococcus aureus and Escherichia coli. Conventional disinfection methods, including laundering and thermal treatments, provide only temporary protection, leading to rapid recontamination during use. In recent years, various antimicrobial agents and functionalization techniques have been developed to impart long-lasting antiseptic properties to textile materials. However, these approaches differ significantly in terms of antimicrobial efficiency, durability, cost-effectiveness, and environmental impact, making the selection of optimal strategies challenging for practical healthcare applications. This review provides a comprehensive comparative analysis of antimicrobial agents used in healthcare textile functionalization, including metal-based nanoparticles, organic compounds, and bio-based materials. In addition, it evaluates key modification methods such as coating, padding, and in situ synthesis, with particular emphasis on their influence on antimicrobial performance, wash durability, and practical applicability. Furthermore, this review discusses major challenges associated with the use of antiseptic coatings, including toxicity, environmental concerns, and economic limitations. Based on the analysis, promising directions for the development of safer, cost-effective, and durable antimicrobial textile systems are highlighted, offering valuable insights for future research and real-world healthcare applications. Full article

Background: Gliomas are the most common malignant brain tumors in adults, characterized by a poor prognosis. Although the current World Health Organization (WHO) classification provides clear guidelines for classifying oligodendroglioma, astrocytoma, and glioblastoma patients, significant heterogeneity persists within each class, limiting the effectiveness of current treatment strategies. With the increasing availability of large-scale multi-omics datasets resulting from advancements in sequencing technologies and online repositories that provide them, such as The Cancer Genome Atlas (TCGA), it is now possible to investigate these tumors at multiple molecular levels. Methods: In this work, we apply integrative multi-omics analysis to explore the interplay between genomic (mutations), epigenomic (DNA methylation), and transcriptomic (mRNA and miRNA) layers. Our approach relies on Multi-Omics Factor Analysis (MOFA), a Bayesian latent factor analysis model designed to capture sources of variation across different omics types. Results: Our results highlight distinct molecular profiles across the three glioma types and identify potential relationships between methylation and genetic expression. In particular, we uncover novel candidate biomarkers associated with survival as well as a transcriptional profile associated with neural system development. Conclusions: These findings may contribute to more personalized therapeutic strategies, potentially improving treatment effectiveness and survival outcomes in this disease. Full article

In recent years, increasing consumer demand for healthier and more natural foods has driven the food industry to replace artificial additives. Among these, colorants play a crucial role, as they influence the sensory perception and acceptance of food products. However, the widespread use of synthetic colorants has raised growing concerns due to their potential association with adverse health effects. In addition, several regulatory agencies have restricted or banned the use of certain synthetic colorants, requiring their replacement with natural alternatives. In this context, anthocyanins have emerged as a promising substitute for artificial colorants, owing to their similar color properties. Despite their potential, their use as a food colorant still faces several challenges, particularly regarding stability, incorporation into food matrices, and regulatory constraints. Therefore, this review examines the challenges and current trends in natural colorants, highlighting the potential of anthocyanins as substitutes for synthetic red colorants in food products. Full article

The demand for functional dairy products is increasing, in response to the adverse correlation between high saturated fat consumption and cardiovascular health problems. The present study investigated the physicochemical and sensory features of a prototype of functional reduced-fat Mozzarella cheese fortified with inulin made from milk obtained by integrating the cattle diet with laurel essential oil (LEO). Two samples were compared over a 10-day storage period: a whole-milk Mozzarella cheese (MC), and a reduced-fat Mozzarella cheese fortified with 10% (w/v) of inulin (MI). The results show that incorporating inulin during the stretching phase required more time (2.55 min longer) to obtain the final product. However, in addition to a 5% fat decrease, the MI cheese achieved an inulin content of 3.31%, satisfying the European Regulation No 1924/2006, for the “Source of Fiber” claim. On the other hand, from a nutritional perspective, the dietary LEO integration significantly modulated the lipid fraction of the sample, resulting in a 40% increase in monounsaturated fatty acids (MUFAs) and a marked enrichment in polyunsaturated fatty acids (PUFAs). Considering the texture attributes, the incorporation of inulin during the stretching phase led to the formation of a micro-gel that acted as a functional filler, resulting in significantly higher hardness (33.41 N for MI and 16.10 N for MC), throughout the 10-day storage period. Temporal Check-All-That-Apply (TCATA) analysis confirmed that while the MI sample introduced vegetable and cooked milk notes, MI maintained major textural integrity throughout the shelf-life. These findings demonstrate that the synergy between inulin fortification and dietary laurel essential oil supplementation represents a highly effective strategy for producing reduced-fat pasta filata cheeses. This dual approach not only preserves sensory and textural integrity but also yields a high-value functional product characterized by an optimized fatty acid profile and a significant fiber intake. Full article

Background/Objectives: A psychiatric consultation is a professional evaluation aimed at establishing a diagnosis, a prognosis, and developing a treatment plan. The objective was to assess psychiatric consultations (PCs) at the Community Mental Health Center (CMHC), Emergency Room (ER) and General Hospital (GH) to highlight differences across settings. Methods: With a retrospective design, we examined all PCs performed between 1 January 2024 and 31 December 2024 at the CMHC, ER and GH of Baggiovara in Modena. Descriptive statistical analysis and a multivariate logistic regression were performed. Results: We collected a total of 3174 PCs for 1801 patients, performed in the three settings: 52% in ER, 30% in CMHC and 18% in GH. In ER, PCs were most frequently requested for suicide risk (26%), psychomotor agitation (14%) and substance intoxication (14%). In CMHC, the most common diagnoses were depressive disorders (22%), acute anxiety (20%) and acute psychotic episodes (13%). In GH, consultations mainly addressed psychiatric symptoms associated with medical and eating disorders. The overall rate of psychiatric hospitalization after PCs was 16.2%, reaching 23.4% for consultations in ER. Discontinuation of pharmacological therapy was significantly associated with an increased risk of hospitalization (p < 0.001), which rose to 17% when therapy had been interrupted for more than one year. Conclusions: PCs at ER were the access point for most hospitalizations. Therapeutic discontinuation, acute psychosis and substance use represented the main predictors of hospitalization. Strengthening shared care pathways among CMHC, ER and GH represents an effective model of integration between hospital and community services, ensuring continuity of care. Full article

Background: Tuberculosis (TB) remains a major public health challenge globally, particularly in high-burden countries such as South Africa. Treatment interruption is a critical barrier to effective TB control, contributing to poor treatment outcomes, increased risk of multidrug-resistant tuberculosis (MDR-TB), and continued community transmission. Understanding the determinants of treatment interruption in rural healthcare settings is essential for strengthening TB programme implementation. Methods: This qualitative study explored the factors influencing TB treatment interruption from the perspectives of professional nurses working in primary healthcare facilities in the Nyandeni Subdistrict, Eastern Cape, South Africa. Semi-structured interviews were conducted with nurses involved in TB programme implementation. Data were analysed using thematic analysis following the six-phase approach described by Braun and Clarke. Descriptive statistical analyses were also used to summarize participant characteristics, including age and years of nursing experience. Conceptual frameworks were developed to illustrate the multilevel determinants of TB treatment interruption. Results: Participants had a mean age of 40.6 years and an average of 14.2 years of nursing experience, reflecting a workforce with substantial clinical exposure to TB management. Thematic analysis identified multiple interconnected determinants of treatment interruption. Key barriers included poverty, food insecurity, transport costs, long distances to healthcare facilities, limited family support, and challenges related to patient tracing. These factors interact across structural, community, health system, and interpersonal levels to influence patient adherence behaviour. Conceptual models developed from the findings illustrate the complex pathways through which these determinants contribute to treatment interruption and programme-level consequences such as reduced treatment success and increased risk of MDR-TB. Conclusions: TB treatment interruption in rural settings is driven by multilevel socioeconomic and health system determinants rather than individual patient behaviour alone. Strengthening community health worker programmes, improving patient tracing systems, addressing socioeconomic barriers, and enhancing community-based support mechanisms are essential for improving treatment adherence. Integrated, multisectoral interventions are required to strengthen TB programme outcomes in rural high-burden settings. Full article

Efficient reproductive management is essential for optimizing productivity and sustainability in sheep and goat production systems. Estrus synchronization (ES) has emerged as a pivotal tool for coordinating mating, enhancing fertility, facilitating artificial insemination (AI), and supporting out-of-season breeding. Hormonal protocols, including progesterone devices, prostaglandins, and gonadotropin or gonadoliberine treatments, provide the highest precision in estrus and ovulation timing, with estrus response rates exceeding 90% and conception rates commonly between 65–85%. These methods are particularly effective in intensive or AI-based systems but are constrained by cost, labor, regulatory restrictions, and welfare considerations. Non-hormonal strategies, such as the ram effect, photoperiod manipulation, nutritional flushing, and management-based interventions, exploit natural physiological, socio sexual, and nutritional cues to partially synchronize estrus. While these approaches exhibit greater variability and lower precision than hormonal methods, they offer advantages in low input, organic, and extensive systems by improving reproductive clustering, ovulation, and lambing compactness. Among these, the ram effect is the most effective and widely applicable. Integrated reproductive management, combining hormonal or non-hormonal strategies with optimized nutrition, health, and flock management, is critical for achieving predictable and sustainable reproductive outcomes. Future research should focus on refining hormone-sparing protocols and enhancing the reliability of natural synchronization methods. Full article

Fluorosis, a systemic condition caused by chronic excessive fluoride intake, poses significant threats to livestock health and agricultural productivity worldwide. This systematic review synthesizes current evidence on the modulatory effects of exercise against fluorosis, integrating human studies, animal experiments, and methodological considerations. Human studies indicate negative associations between fluoride exposure and cognitive development, muscle function, and exercise capacity, with exercise influencing fluoride pharmacokinetics in an exercise-intensity-dependent manner. Animal experiments consistently demonstrate that regular moderate-intensity exercise attenuates fluoride-induced damage across multiple organ systems through activation of the Nrf2/ARE antioxidant pathway, modulation of BMP-2/Smads and OPG/RANKL/RANK signaling, suppression of inflammatory responses, and preservation of intestinal barrier integrity. Substantial heterogeneity exists among current fluorosis models regarding exposure dosages, durations, and exercise protocols, underscoring the need for standardization and consideration of genetic background. Overall, exercise shows promise for mitigating fluorosis-induced multi-organ damage, although human evidence remains limited. Future research should prioritize model optimization, elucidation of molecular targets, and exploration of synergistic interventions to provide a foundation for veterinary clinical management. Full article

Accurate turbojet engine performance prediction is crucial for condition monitoring, health management, and safe operation. Conventional component-level models require iterative solutions of strongly nonlinear matching equations and are sensitive to un-modeled effects, limiting accuracy and computational efficiency. Purely data-driven models are efficient but lack explicit physical constraints, resulting in poor interpretability and generalization outside the training domain. To address these issues, this paper proposes a component-decoupled, physically constrained hybrid modeling framework for turbojet engine steady-state performance prediction using on-board measurements. The engine is decomposed into component-level neural sub-models, with physics-guided feature engineering and mutual-information-based feature selection applied to optimize inputs. Component predictions are coupled via aerothermodynamic constraints to reconstruct unmeasured parameters and thrust. Validation on steady-state test data from a 120 kgf class micro turbojet engine shows the model achieves 1.157% maximum relative deviation (MRD) and 0.226% average relative deviation (ARD) for thrust, with MRDs of key gas path parameters within 0.3%. Compared with purely data-driven models, it offers higher accuracy, better generalization, and physically consistent unmeasured parameter estimates, providing a practical approach for engine performance prediction and health management. Full article

Seismocardiography (SCG) is a promising noninvasive modality for cardiovascular monitoring. By capturing subtle chest wall vibrations induced by the mechanical pumping activity of the heart at the body surface, SCG is of considerable value for blood pressure-related cardiovascular risk assessment and cardiac function monitoring. However, continuous SCG monitoring in daily life settings still relies predominantly on rigid accelerometers, and reports on flexible acquisition systems remain scarce. This is mainly because SCG signals are characterized by low frequency, low amplitude, and high sensitivity to the sensor-skin interface, requiring the sensor to achieve stable, high-fidelity acquisition of weak chest wall mechanical vibrations while maintaining conformal contact and wearing comfort. To address this challenge, this study proposes a flexible pressure sensor based on the triboelectric effect. The sensor adopts a single-electrode contact-separation structure and is composed of a polymer material capable of achieving a high negative charge density and a nickel foil electrode. The sensor exhibits a sensitivity of 3.76 V/N within a small force range of 0–200 mN, shows good frequency response over the 0.5–25 Hz band, and maintains stable output after approximately 5300 cycles. The sensor was attached to the lower-middle segment of the sternum to capture weak vibration signals generated by cardiac mechanical activity and transmitted through the chest wall, thereby enabling continuous SCG monitoring. This study presents a feasible approach for flexible SCG acquisition in daily life scenarios and provides experimental evidence supporting the application of flexible sensors in home-based health monitoring. Full article

Over the past 200 years (1820–2020), global life expectancy has nearly tripled, increasing from 26 to 72.91 years, due to factors such as poverty reduction and public health initiatives. Today, society faces different challenges than it did centuries ago. In patient care and healthcare system priorities, the goal is to develop smart, feasible, long-lasting, cost-effective, readily available, adverse-reaction-free, adaptable, and personalized solutions that minimize patient discomfort, reduce caregiver effort, and decrease hospitalization duration and costs. In this context, biomaterials serve as versatile tools capable of performing a wide range of diagnostic, therapeutic, and theragnostic functions. Thanks to their biocompatibility, biodegradability, surface chemistry, and responsiveness, biomaterials are currently addressing issues such as patient compliance (through controlled drug-delivery systems and smart wound dressings), long transplant waiting lists, transplant rejection, non-adaptable prosthetics (artificial organs), oncology treatment efficacy (nano-formulations for theragnostics and multiple tumor targeting), and inconsistent in vitro drug-testing models (organs-on-a-chip). In this review, we focus on biomaterials’ smartness, then explore databases for efficient product design, and finally highlight their applications in the biomedical field, especially in drug delivery, tissue engineering, and regenerative medicine. Full article