Results 221 to 230 of about 85,194 (289)
Fast and standardized motor-hotspot determination with automated TMS mapping
Granö I +16 more
europepmc +1 more source
Aeolian sand migration induced land degradation and desertification hotspots identification in the semi-arid rain shadow regions of Anantapur, India. [PDF]
Badapalli PK +4 more
europepmc +1 more source
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura +9 more
wiley +1 more source
Mapping the spatial distribution and characteristics of HIV seropositivity among women in Ethiopia. A spatial analysis. [PDF]
Kitaw TA, Koyas AT, Tekle BA, Haile RN.
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Geographic disparities in minimum dietary diversity among Indian children aged 6-23 months. [PDF]
Barik S, Singh A, Singh M.
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Genetic regulation of sperm DNA methylation in cattle through meQTL mapping. [PDF]
Fouéré C +18 more
europepmc +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Repetitive navigated transcranial magnetic stimulation to facilitate motor rehabilitation in acute pediatric hemorrhagic stroke - illustrative case. [PDF]
Schwendner M +6 more
europepmc +1 more source

