Search Results (308)

Tuberculosis (TB) is still a significant public health threat, with rising drug resistance and high incidence in multiple areas worldwide. In the search for novel antitubercular agents, this study explores the application of a bioactivity-guided molecular networking approach to identify bioactive compounds from seven plant species (Curatella americana, Davilla nitida, Dipteryx punctata, Indigofera suffruticosa, Quassia amara, Tetradenia riparia, and Zingiber zerumbet) collected in French Guiana. Using ultrasound-assisted extraction followed by liquid–liquid partitioning and UHPLC-HRMS/MS analysis, a library of 72 samples was tested against Mycobacterium tuberculosis. The non-polar fractions from Indigofera suffruticosa, Tetradenia riparia, and Zingiber zerumbet showed the highest activity. The integration of metabolomic and bioassay data on molecular networks allowed the prioritization and annotation of active compounds, revealing flavonoids as contributors to the antitubercular activity of the active samples. In addition, the use of computational tools such as GNPS, SIRIUS, and TIMA-R enabled dereplication and increased the confidence in the structural prediction of active metabolites. This approach demonstrated its potential in accelerating the identification of both known and novel bioactive compounds without requiring exhaustive isolation, offering a robust strategy for natural product-based drug development against TB. Full article

This review paper deals with Triply Periodic Minimal Surfaces (TPMS) and lattice structures as a new generation of heat exchangers. Especially, their manufacturing is becoming feasible with technological progress. While some intricate structures are fabricated, challenges persist concerning manufacturing limitations, cost-effectiveness, and performance under transient operating conditions. Studies reported that these complex geometries, such as diamond, gyroid, and hexagonal lattices, outperform traditional finned and porous materials in thermal management, particularly under forced and turbulent convection regimes. However, TPMS necessitates the optimization of geometric parameters such as cell size, porosity, and topology stretching. The complex geometries enhance uniform heat exchange and reduce thermal boundary layers. Moreover, the integration of high thermal conductivity materials (e.g., aluminum and silver) and advanced coolants (including nanofluids and ethylene glycol mixtures) further improves performance. However, the drawback of complex geometries, confirmed by both numerical and experimental investigations, is the critical trade-off between heat transfer performance and pressure drop. The potential of TPMS-based heatsinks transpires as a trend for next-generation thermal management systems, besides identifying key directions for future research, including design optimization, Multiphysics modeling, and practical implementation. Full article

Background/Objectives: Hemoglobinopathies, including thalassemia and sickle cell disease, are among the most common inherited disorders worldwide. This study aimed to profile hemoglobin variants in the Tharu community of Lakhimpur Kheri, Uttar Pradesh, with particular focus on the rare variant Hb J-Meerut [α 120 (H3) Ala→Glu (α1)]. Methods: A cross-sectional study was conducted during a community health camp in February 2024. Peripheral blood samples were collected from 505 individuals, of which 445 were analyzed using complete blood count (CBC) and high-performance liquid chromatography (HPLC). Suspected variants were confirmed by Sanger sequencing. Results: Hemoglobinopathies were identified in nearly one-fifth of participants. The major variants detected were sickle cell trait, β-thalassemia trait, and Hb J-Meerut. Sequencing confirmed Hb J-Meerut in the majority of suspected cases. HPLC profiles showed clear differences between groups, supporting its role as a reliable screening tool. Conclusions: Community-based screening combining HPLC and sequencing provides an effective approach for identifying both common and rare hemoglobin variants. Early detection of silent carriers such as Hb J-Meerut is essential for targeted genetic counseling and preventive strategies in high-risk populations. Full article

Mycotoxin contamination in wheat, a staple food critical to human nutrition, poses significant public health concerns. This study investigated the natural occurrence of 17 mycotoxins in Tunisian durum wheat, assessed the influence of soil tillage practices on mycotoxin contamination, and performed an associated exposure risk assessment. A total of 167 wheat samples were randomly collected over two years (2021 and 2022) from fields managed under conventional tillage (CT) and no-tillage (NT) systems during both pre- and post-harvest periods. Mycotoxins were extracted using the QuEChERS method and quantified via UHPLC-MS/MS. The results demonstrated contamination by ZEN, DON, OTA, ENA1, ENB, and ENB1. Among regulated mycotoxins, OTA was the most prevalent, detected in 68 out of 167 samples with a mean concentration of 1.85 µg/kg. ZEN was the most abundant, detected in 65 samples with a mean concentration of 26.85 µg/kg, while DON was less frequently detected in 62 samples with a mean concentration of 0.68 µg/kg. Regarding emerging mycotoxins, ENB was the most prevalent and abundant, found in 51 samples with a mean concentration of 10.13 µg/kg; ENB1 and ENA1 were detected in 20 and 10 samples, with mean concentrations of 3.38 µg/kg and 1.69 µg/kg, respectively. Furthermore, mycotoxin concentrations varied according to agricultural practices. DON, ZEN, ENA1, ENB, and ENB1 showed higher frequencies and concentrations (ranging from 0.08 to 210.11 µg/kg) in samples collected during the 2021 pre-harvest period from NT fields. In contrast, OTA exhibited greater prevalence and higher concentrations (ranging from 2.33 to 9.78 µ/kg) in samples collected during the 2022 post-harvest period from CT fields. The Estimated Daily Intake (EDI) of mycotoxins by Tunisian adults was calculated based on contamination levels in raw durum wheat from fields under NT and CT practices, resulting in the following values (ng/kg bw/day), with the first value corresponding to NT samples and the second to CT samples: OTA (17.3; 20.8), ZEN (466.3; 194.0), DON (8.0; 7.56), ENA1 (4.30; 18.85), ENB (105.17; 121.08), and ENB1 (49.91; 40.91). Both the Margin of Exposure (MOE) values for OTA and the Hazard Quotients (HQ) for ZEN and DON exceeded established safety thresholds, indicating potential health risks for Tunisian adults. These findings highlight the urgent need to implement stricter mycotoxin regulations in Tunisia and enhance surveillance systems. Further research is warranted to elucidate the mechanisms by which soil tillage practices influence mycotoxin contamination and to develop targeted mitigation strategies to ensure food safety. Full article

Background: This study aimed to develop a nomogram based on the most relevant clinical, CT, and radiomic features comprising 11 key signatures (2 clinical, 2 CT-based, and 7 radiomic) for the non-invasive prediction of the EGFR mutation status and to support the timely initiation of tyrosine kinase inhibitor (TKI) therapy in patients with non-small cell lung cancer (NSCLC) adenocarcinoma. Methods: Retrospective real-world data were collected from 521 patients with histologically confirmed NSCLC adenocarcinoma who underwent CT imaging and either surgical resection or pathological biopsy for EGFR mutation testing. Five Random Forest classification models were developed and trained on various datasets constructed by combining clinical, CT, and radiomic features extracted from CT image regions of interest (ROIs), with and without feature preselection. Results: The model trained exclusively on the most relevant clinical, CT, and radiomic features demonstrated superior predictive performance compared to the other models, with strong discrimination between EGFR-mutant and wild-type cases (AUC = 0.88; macro-average = 0.90; micro-average = 0.89; precision = 0.90; recall = 0.94; F1-score = 0.91; and accuracy = 0.87). Conclusions: A nomogram constructed using a Random Forest model trained solely on the most informative clinical, CT, and radiomic features outperformed alternative approaches in the non-invasive prediction of the EGFR mutation status, offering a promising decision-support tool for precision treatment planning in NSCLC. Full article

Heart failure (HF), a prevalent global health issue characterized by the heart’s impaired ability to pump or fill blood, affects millions worldwide and continues to pose significant challenges despite advancements in treatment. This review delves into the critical and increasingly recognized role of inflammation in the development and progression of this complex syndrome. While the incidence of HF has seen a decline in some regions due to improved cardiac care, its overall prevalence is rising, particularly among younger adults and those with heart failure with a preserved ejection fraction (HFpEF). Given the persistently high rates of hospitalization and mortality associated with HF, understanding the underlying mechanisms, including the contribution of inflammation, is crucial for identifying novel therapeutic strategies. Inflammation in heart failure is a multifaceted process involving the activation of the immune system, both innate and adaptive, and encompasses various mechanisms such as the release of pro-inflammatory mediators, endothelial dysfunction, and neurohormonal activation. Myocardial damage triggers the innate immune response, while humoral immunity and chronic systemic inflammation, often linked to cardiovascular risk factors and autoimmune diseases, also play significant roles. Notably, heart failure and inflammation have a reciprocal relationship, with HF itself contributing to inflammatory processes within the cardiac tissue and systemically. Understanding these intricate pathways, including the involvement of specific immune cells and molecular mediators, is essential for comprehending the pathogenesis of heart failure and exploring potential therapeutic interventions. The review further examines various inflammatory biomarkers that have been implicated in heart failure, such as cytokines (including TNF-α and IL-1) and C-reactive protein (CRP). While these markers often correlate with the severity and prognosis of HF, clinical trials targeting specific inflammatory mediators have largely yielded disappointing results, highlighting the complexity of the inflammatory response in this context. The exploration of these biomarkers and the challenges encountered in translating anti-inflammatory strategies into effective treatments underscore the need for continued research to unravel the precise role of inflammation across different HF subtypes and to develop more targeted and effective anti-inflammatory therapies. Full article

The ability of the agriculture sector, which is exposed to climate hazards, to cope with climate challenges and to strive in spite of them, is conceptualized as the resilience of agriculture. In enhancing climate-resilient agriculture, the cash reserve ratio (CRR) is generally perceived to serve two crucial functions: first, encouraging banks to allocate credit to agriculturalists for climate-resilient agricultural practices; second, enhancing agriculturalists’ ability to sustain agricultural output growth in spite of climate crises. In light of this, we conducted an ex post evaluation of the effect of the currently in-use CRR on bank loans to climate-challenged Nigeria’s agriculture sector for climate-resilient agricultural practices. Additionally, this study investigates the CRR’s impact(s) on agricultural output growth amidst climate challenges. Other additional independent variables include monetary policy rate, government capital expenditures on agriculture, and government recurrent expenditures on agriculture, as well as temperature, precipitation, and the renewable energy supply. Using annual data from 1990 to 2022, the results from an autoregressive, distributed lag approach suggest that the standard CRR stipulated by the Central Bank of Nigeria in the present era of climate change cannot entirely sustain climate-resilient agriculture, evident in the present study’s discoveries on its inability to perform its two major functions (credit and growth) in enhancing agricultural resilience. These findings highlight the need for the green differentiation of the CRR to ensure its effective utilization in enhancing climate resilience. Full article

The effects of unsustainable actions persist, triggering and sustaining a discussion on strategies and controls required to mitigate the consequences. Greater disclosure is required by entities regarding the governance processes, strategies, and controls they employ to manage climate-related risks and opportunities, thereby creating an expanded role for accountants. With this expanded role, higher education institutions (HEIs) play a critical role in fostering and instilling sustainability values through the knowledge and skills they transfer to accounting students. HEIs must be assessed to ascertain if sustainability concepts are integrated into current accounting curricula, thereby addressing SDG 4, and SDG 12 which can be achieved through the knowledge these HEIs transfer. A contextual content analysis is carried out on the accounting curricula of 76 Nigerian universities to search for keywords related to sustainability. This study reveals a low level of integration; 16 of the 62 keywords were found in the curricula of 25 of the 76 universities studied. The results indicate the most frequently occurring keywords and the courses and universities associated with the most keywords. This study demonstrates that accounting education in Nigeria has not yet keyed into the program aimed at achieving the ‘Agenda’. This outcome underscores the need to review the existing accounting curricula to ensure that accounting education contributes to the movement towards sustainable development. Full article

The Brazilian Amazon, a global biodiversity hotspot, faces escalating anthropogenic pressures and climate change, underscoring the urgent need to identify priority areas for ecological restoration and sustainable forest use. This study applied a topoclimatic zoning methodological framework in the Legal Amazon to evaluate the environmental suitability of 12 native tree species across anthropogenically altered landscapes. Species occurrence data were compiled from the RADAMBRASIL Project, GBIF, Herbaria, and forest inventory literature. Climatic, topographic, and geographic variables (1961–2022) informed the zoning model. Our findings reveal that species such as Dinizia excelsa Ducke (81%) and Handroanthus albus (Cham.) Mattos (78%) exhibit exceptionally high topoclimatic suitability. Conversely, Simarouba amara Aubl. (37%) and Schizolobium parahyba (Vell.) S.F.Blake var. amazonicum (Huber ex Ducke) Barneby (46%) showed the lowest proportions in high-potential areas, suggesting their greater ecological breadth or specific niche requirements in altered zones. Principal Component Analysis (PCA) indicated strong correlations between high-potential areas and Af3, Am3, and Aw4 climatic subtypes. This study offers a replicable, evidence-based model for prioritizing species and locations, significantly supporting sustainable silviculture and enhancing the long-term resilience of Amazonian forests in the face of climate change. Full article

Bactrocera oleae (Rossi) (Diptera: Tephritidae) is a key pest of olive groves. Adult monitoring is carried out by means of attractant traps of different shapes, which give relevant information for pest control such as the presence of adult flies in the field and their trend, female maturity and sex ratio. However, it is still not entirely clear whether a given density is sufficient for providing a reliable representation of flies in an olive grove. To investigate this question, an experiment was planned, consisting of arranging a high-density network of unbaited sticky panels (UTs) between panels baited with ammonium carbonate (BTs) deployed at a density of 2 traps/ha. The experiment was carried out in Greece, Italy, Lebanon, Spain and Tunisia. The percentage of BT over UT catches varied significantly among the different countries, with BTs ranging from 82% of catches in Italy to 27% in Greece. The Pearson correlation between BTs and UTs was significant under high captures but not significant at low densities. The index of aggregation showed an inverse relationship with baited catches. The distributions of males and females were nearly always positively spatially associated. According to the field data, BTs at the density of 2/ha provide a realistic estimate of the population in the field in the cases of established populations. However, in the periods without population establishment, a denser monitoring trap network is likely required to obtain a reliable estimation of the field population. Full article

This paper presents a novel approach to synthesizing phased antenna arrays (PAAs) by combining Taylor-series expansion with neural networks (NNs), enhancing the PAA synthesis process for modern communication and radar systems. Synthesizing PAAs is crucial for these systems, offering versatile beamforming capabilities. Traditional methods often rely on complex analytical formulations or numerical optimizations, leading to suboptimal solutions or high computational costs. The proposed method uses Taylor-series expansion to derive analytical expressions for PAA radiation patterns and beamforming characteristics, simplifying the optimization process. Additionally, neural networks are employed to model the intricate relationships between PAA parameters and desired performance metrics, providing adaptive learning and real-time adjustments. A validation of the proposed method is performed on a dual-band 5G antenna, which exhibits marked resonances at 28.14 GHz and 37.88 GHz, with reflection coefficients of $S_{11}$ = −19 dB and $S_{11}$ = −19.33 dB, respectively. The integration of Taylor expansion with NNs offers improved efficiency, reduced computational complexity, and the ability to explore a broader design space. Simulation results and case studies demonstrate the effectiveness and applicability of the approach in practical scenarios. This work represents a significant advancement in PAA synthesis, showcasing the synergistic integration of mathematical modeling and artificial intelligence for optimized antenna design in modern communication and radar systems. Full article

This paper shows the results of a study on the ecological structure and spatial distribution of communities of the protected steppe ground beetle Carabus hungaricus Fabricius, 1792 (Coleoptera: Carabidae), in Bulgaria. It also points some phenological data and details about the species activity. In the period May 2021–December 2023, we explored 42 sample plots in xerophytic landscapes in central–western Bulgaria, representing the southernmost limits of the steppe fauna in Eurasia. With 252 pitfall traps, 69,903 effective trap-days were realised, and 15,333 carabid individuals from 184 species were identified. Carabus hungaricus was established in seven sites (frequency of occurrence, F = 16.7%), with a total of 198 specimens (1.3% of all carabids and almost 4% of the total dynamic density). In these seven sites, we found 57 species, mostly open habitat dwellers. The tribe Harpalini had 33% of the species. The most species-rich genera were Harpalus (13 species), Amara (8) and Carabus (6). Calathus distinguendus was superdominant with more than 71% of all carabid specimens. Euconstant species, collected in all seven sites (F = 100%), were Carabus coriaceus and Calathus distinguendus. The two classes of life forms had almost equal proportions, 28 (49.1%) Zoophagous and 29 (50.9%) Mixophytophagous species, which is extraordinary for Bulgaria, but typical for the Eurasian steppe zone. Macropterous beetles comprised 56% of the species and brachypterous were 25%, which is comparable only with typical montane habitats. Concerning humidity preferences, mesoxerophilous carabids predominated (25 species, 44%). In relation to its ground beetle fauna, the studied complex of habitats is quite remarkable for Bulgaria and appears to be stable and characteristic for the steppe biome. Full article

Glyphosate (N-phosphonomethylglycine) is a widely used organophosphorus herbicide that inhibits the shikimate pathway, a crucial metabolic route responsible for the synthesis of aromatic amino acids in plants and certain microorganisms. Due to its broad-spectrum activity, glyphosate serves as the main active ingredient in various commercial herbicide formulations, including Roundup and Kalach 360 SL (KL). It poses a health hazard to animals and humans due to its persistence in soil, water erosion, and crops. The aim of our study was to continue the previous research to explore the impact of KL on bone using physico-chemical parameters and in silico studies after exposing female wistar rats for 60 days. The in silico study concerned the assessment of binding affinity and molecular interactions using computational modeling approach. The rats were allocated into three experimental groups: group 1 (n = 6) served as controls, while groups 2 and 3 received low and high doses (Dose 1: 126 mg/Kg and Dose 2: 315 mg/Kg) of KL dissolved in water, respectively. All rats were sacrificed after 60 days of exposure. XRD and FTIR spectrum analysis of bone tissues in female rats showed significant histoarchitectural changes associated with bone mineralization disruption. Our results have demonstrated that sub-chronic exposure of adult female rats to KL causes bone rarefaction, as confirmed by a previous histological study. This physico-chemical study has further confirmed the harmful impact of KL on the crystalline fraction of bone tissue, composed of hydroxyapatite crystals. In addition, the computational analyses showed that glyphosate binds to 3 Glu form of osteocalcin (3 Glu-OCN) (4MZZ) and decarboxylated osteocalcin (8I75) with good affinities and strong molecular interactions, which justified and supported the in vivo findings. In conclusion, KL may interfere with hydroxyapatite and osteocalcin and, therefore, impair bone remodeling and metabolism. Full article

Background/Objectives: The prevalence of dementia among South Asians across India is high among those who are 65 years and older, yet little is known about genetic risk factors for dementia in this population. Methods: Using whole-genome sequence data from 2680 participants from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study of India (LASI-DAD), we performed a gene-based analysis on the missense/loss-of-function (LoF) and brain-specific promoter/enhancer variants of 84 genes, previously associated with AD in European Ancestry (EA). These analyses were performed separately, both with and without incorporating additional annotation weights (e.g., deleteriousness, conservation scores), using the variant-Set Test for Association using Annotation infoRmation (STAAR). We investigated associations with the Hindi Mental State Examination (HMSE) score and factor scores for general cognitive function and five cognitive domains. Results: In the missense/LoF analysis, without annotation weights and controlling for age, sex, state/territory, and genetic ancestry, three genes were associated with at least one measure of cognitive function (FDR q < 0.1). APOE was associated with four measures of cognitive function, PICALM was associated with HMSE score, and TSPOAP1 was associated with executive function. The most strongly associated variants in each gene were rs429358 (APOE ε4), rs779406084 (PICALM), and rs9913145 (TSPOAP1). Rs779406084 is a rare missense mutation that is enriched in LASI-DAD compared to EA (minor allele frequency = 0.075% vs. 0.0015%). Conclusions: Missense/LoF variants in some genes previously associated with AD in EA are associated with measures of cognitive function in South Asians from India. Analyzing genome sequence data allows the identification of potential novel causal variants enriched in South Asians. Full article

Background/Objectives: This study evaluated the potential of a polysaccharide (PCS) extracted from the brown alga Cystoseira spinosa as an antioxidant and anti-inflammatory agent. Collected off the coast of Alkhoms, Libya, PCS was investigated for its wound-healing and pro-angiogenic properties, addressing the need for natural bioactive compounds in therapeutic applications. Methods: The monosaccharide composition of PCS was analyzed using HPLC-RID, identifying glucuronic acid and xylose as major components. In vitro tests assessed antioxidant activity, while in vivo experiments on 24 rats evaluated wound healing. Rats were divided into four groups: control (saline), standard drug (CYTOL CENTELLA cream), glycerol, and glycerol+PCS. Wound healing was analyzed macroscopically, histologically, and biochemically. The chick chorioallantoic membrane (CAM) model assessed pro-angiogenic effects, and computational analyses explored COX-2 and VEGF pathways. Pharmacokinetic properties were also evaluated. Results: PCS demonstrated significant antioxidant activity and accelerated wound healing after 16 days, with improved wound appearance scores and increased collagen content. Histological analysis confirmed PCS outperformed the standard drug. The CAM model showed PCS increased blood vessel density, length, and junctions while reducing lacunarity. Computational analyses supported involvement of COX-2 and VEGF pathways. Pharmacokinetic assessments indicated good bioavailability, non-inhibition of CYP enzymes, and favorable skin permeability. Conclusions: PCS shows promise as a natural bioactive polymer for wound healing and tissue regeneration. Its antioxidant, anti-inflammatory, and pro-angiogenic properties, combined with favorable pharmacokinetics, highlight its therapeutic potential. This study provides new insights into the mechanisms of C. spinosa polysaccharides and their application in promoting tissue repair. Full article