Results 251 to 260 of about 1,195,331 (367)
Contemporary electronic devices produce significant waste, harming ecosystems. Innovation in design, consumption, materials, and end‐of‐life management is crucial. This review explores advanced materials for sustainable and responsible electronics, highlighting their potential to reduce environmental and health hazards while improving device ...
Rawan Omar+7 more
wiley +1 more source
Microplastics and exercise: impacts on performance and physiological health. [PDF]
Jiao X, Cao Q, Deng Z.
europepmc +1 more source
A label‐free plasmonic nanosensor platform is presented based on single gold nanorods for the nanometric characterization of lipid interfaces. By correlating optical scattering signals with membrane packing and refractive index, this approach enables the detection of gel‐to‐fluid transitions in lipid interfaces, offering a robust, high‐resolution ...
Alfredo Casasnovas‐Melián+12 more
wiley +1 more source
Climate change, armed conflict, forced displacement, and epidemic-prone diseases: an exploratory study in northern Syria. [PDF]
Tarnas MC+6 more
europepmc +1 more source
The lung corps' approach to reducing health disparities in respiratory disease.
N. Thakur+5 more
semanticscholar +1 more source
Intracellular Monitoring of Luminescent Ag2S Nanoparticles in Fibroblasts
This study investigates the long‐term luminescence behavior of Ag2S quantum dots (AS QDs) with three surface ligands (DTDTPA, 11MUA, PEG) in fibroblasts over 9 days. AS‐PEG showed stable uptake and enhanced NIR‐II emission, while others decreased due to oxidative stress.
Mahshid Hashemkhani+6 more
wiley +1 more source
Pre-COVID era pediatric disease incidence in Kazakhstan: regional panel data analysis of multiple disease groups (2010-2019). [PDF]
Smagulov N+6 more
europepmc +1 more source
This review systematically examines robotic systems for robot‐assisted transoral surgical procedures, classifying them based on transoral access depth, and evaluates their fundamental design principles, mechanical innovations, algorithmic advancements, and clinical implementation status.
Yuhao Shi+5 more
wiley +1 more source
Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study. [PDF]
Li J+16 more
europepmc +1 more source