958 papers
This study conducted in Sebeta Town, Ethiopia, revealed a high prevalence of bovine mastitis and identified multidrug-resistant *Staphylococcus aureus* in dairy cattle, highlighting significant antimicrobial resistance to common drugs like penicillin and ampicillin despite the absence of methicillin-resistant strains.
This study of 4,367 Arab adults reveals significant variations in physical activity, stress, diet, and sleep quality across age groups and genders, highlighting an urgent need for targeted strategies to reduce sedentary behavior and promote healthier lifestyles in the Arab world.
This systematic review evaluates how geospatial technologies are transforming household survey sampling frames in low- and middle-income countries to address outdated census limitations, identifying four key methodological approaches while highlighting persistent challenges in validation and implementation that require further comparative evidence and standardized protocols.
This study utilizes machine learning algorithms to predict that climate change will drive niche shifts and a spatial redistribution of the *Triplochiton scleroxylon*, *Terminalia superba*, and *Antiaris toxicaria* plant community across Africa, characterized by expansion in West and Central regions and contraction in East and Southern areas where only select species may persist.
This study reveals that *Vibrio vulnificus* strains in the Baltic Sea, comprising a mix of environmental and clinical isolates, have adapted to the cold, brackish environment through positive selection on specific genes like *opsX* and *menC*, while undergoing a genomic trade-off characterized by a drastic reduction in defense system complexity and increased mobile genetic element integration to facilitate human infection.
This study demonstrates that in low-signal gene regulatory network inference benchmarks, the relative performance rankings of methods are highly fragile and significantly altered by choices in candidate edge sets and sample sizes, underscoring the critical need to report evaluation protocols alongside benchmark scores.
This study demonstrates that the ranking of gene regulatory network inference methods is highly sensitive to the choice of reference network, revealing that over half of method comparisons can reverse depending on the biological definition and coverage of the ground truth, thereby arguing that reference selection should be treated as a critical experimental variable rather than a fixed background assumption.
This empirical analysis of the scIB single-cell integration benchmark reveals that while the published ranking is locally stable, the winning method and overall ordering are sensitive to defensible changes in weight priorities and task composition, suggesting that benchmark reports should include sensitivity curves and uncertainty estimates rather than relying solely on a single rank table.
This study utilizes a mixed-methods analysis of stakeholders across five countries to demonstrate that the "Munschools" project effectively leverages the synergy between arts, education, and local governance to foster social cohesion, advance Sustainable Development Goals, and enhance urban resilience in learning cities.
This empirical study demonstrates that the scGPT biological foundation model exhibits a small but reproducible association between its static gene embedding geometry and linear genomic neighborhood, revealing that genes located close together on the same chromosome are more similar in the model's representation than distant genes, even though this spatial information was not explicitly provided during training.