Development and validation of the Barriers to Mental Health Service Utilization Scale (BMHSUS) in Bangladesh: an in-depth analysis of sociodemographic influences on access barriers - insights from the National Mental Health Survey. [PDF]
Karim MR, Alam MF, Khan NM, Akter S.
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Community pharmacy and lung cancer: a service innovation pilot using community pharmacy across Leeds to signpost patients with symptoms of possible lung cancers towards a patient self-request chest X-ray service. [PDF]
Walker A +4 more
europepmc +1 more source
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
The magic of first impressions: Do facial displays on online platforms affect users' offline conversion rate? [PDF]
Zhang X, Li Q, Han C, Huang X.
europepmc +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
What factors influence enrolment in Nepal's National Health Insurance Program? A community-based cross-sectional study using the Health Belief Model. [PDF]
Paudel A +4 more
europepmc +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Comparative Evaluation of Patient-Reported Experience in Day Surgery Under International JCI and National Accreditation in Kazakhstan. [PDF]
Kudabayev K +8 more
europepmc +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source

