958 papers
Using observational data and climate projections, this study demonstrates that global warming will significantly increase lightning density across Brazil by the end of the century—particularly in the Amazon—regardless of uncertainties in simulated cloud ice content, thereby heightening the risk of lightning-ignited wildfires.
This exploratory study of six textile facilities in Bangladesh's Chattogram Export Processing Zone reveals a decoupling between organic and heavy metal compliance, where frequent exceedances of BOD, COD, and colour limits contrast with universal adherence to lead and chromium regulations, suggesting distinct pollutant sources and treatment pathways.
This retrospective cohort study of 501 patients in Brazil demonstrates that while dual therapy with dolutegravir and lamivudine maintains high overall virological effectiveness, viral blips occur frequently and are independently associated with female sex and longer treatment duration, yet remain transient events without significant clinical consequences.
This study reveals that while the mere availability of emotional labor manuals does not significantly reduce sleep disorders overall, their effectiveness is critically dependent on organizational context, significantly lowering risk only when accompanied by high supervisor support and rest autonomy, whereas they may actually increase risk in environments lacking such support.
This retrospective cohort study of 101 soft tissue sarcoma patients in Uzbekistan identifies increasing age and metastatic disease as independent predictors of tumor recurrence while demonstrating that highly conformal radiotherapy techniques (IMRT and VMAT) reduce treatment-related toxicity compared to 3D-CRT, supporting the use of personalized strategies for improved oncological outcomes.
This paper introduces the Congo Basin Catchment Information System (CB-CIS), a unified digital hydrological infrastructure that integrates diverse data sources and a nested catchment framework to address information gaps and enable systems-based, adaptive water resources management across the data-scarce Congo River Basin.
A real-world survey of 562 Chinese female patients with autoimmune inflammatory rheumatic diseases reveals that while awareness and willingness to receive the HPV vaccine are high, actual vaccination and cervical cancer screening rates remain critically low, with systemic lupus erythematosus patients facing particularly significant gaps despite their heightened vulnerability.
This study proposes an improved Mask R-CNN framework enhanced by histogram equalization and the Adam optimizer to achieve a 90.4% mAP in road pothole detection and instance segmentation, significantly outperforming the baseline model for intelligent road monitoring.
This study reveals that while a gluten-free diet partially normalizes the faecal metabolome in children with coeliac disease, distinct metabolic alterations in bile acid, sterol, and microbial pathways persist, suggesting ongoing gut dysfunction and offering potential non-invasive biomarkers for disease monitoring.
This multicenter cohort study demonstrates that explainable machine learning models utilizing routinely available early ICU variables can accurately predict the risk of specific multidrug-resistant organism infections (MRSA, VRE, and CRPA) in patients with sepsis, offering a potential tool for early risk stratification to guide empiric antibiotic therapy.