959 papers
This study of 307 medical students reveals that while nearly all participants experience nomophobia and over two-thirds suffer from poor sleep quality, specific nomophobia-related anxieties rather than the overall score significantly disrupt sleep hygiene, highlighting the need for institutional digital detox and sleep education interventions.
This study identifies NDUFB2, HSP90B1, and LITAF as independent prognostic biomarkers in glioblastoma by characterizing astrocyte metabolic activation and immune microenvironment modulation through integrated single-cell and spatial transcriptomics analyses.
This case report demonstrates that an 80-year-old man with multiple complex cardiac pathologies successfully underwent a combined extensive surgical procedure and recovered well, supporting the view that chronological age should not preclude surgery when patients are carefully selected based on biological age, frailty, and functional status.
This retrospective cohort study of 50 HIV-associated NTM patients in Düsseldorf (2004–2025) reveals that the disease predominantly affects individuals with advanced immunodeficiency, with disseminated forms linked to significantly lower CD4 counts and higher early mortality, underscoring the need for earlier HIV diagnosis and rapid ART initiation.
Through a four-round Delphi consensus process involving 25 UK surgical experts, this study established a standardized, three-tier national curriculum for robotic surgery training that integrates device, basic skills, and procedural components across residency phases while advocating for multi-source funding and formal competency assessment.
This study demonstrates that preoperative navigated transcranial magnetic stimulation (nTMS)-derived cortical excitability metrics, specifically the IntraM1 Excitability Score and Cortical Excitability Score, independently predict overall survival in patients with motor-eloquent WHO grade 4 IDH-wildtype glioblastoma, offering a novel, clinically actionable prognostic tool beyond established histomolecular factors.
This study proposes a deep learning framework using pre-trained convolutional neural networks to achieve early, automated multi-class detection of chili leaf diseases, demonstrating that MobileNetV2 achieves a 96% accuracy rate on a real-field dataset of 16,392 images from Bangladesh.
This fixed-effects panel study of 17 Latin American and Caribbean countries from 2000 to 2023 found no robust evidence that within-country changes in poverty, inequality, education, health expenditure, or universal health coverage are significantly associated with infant mortality, a null result attributed to data limitations and measurement constraints.
This paper demonstrates that integrating an automated security-audit skill into the "vibe coding" process drastically improves the security of AI-generated web applications, reducing unmitigated risk by 99% and eliminating all high-severity vulnerabilities in a controlled comparison of two builds of the same e-commerce demo.
This pilot study in Ghana provides the first evidence linking short-term exposure to ambient PM₂.₅ and PM₁₀ with increased odds of acute upper respiratory infections, particularly among females and during the dry Harmattan season, while also demonstrating the operational feasibility of integrating continuous air quality monitoring with routine electronic health records.