Results 281 to 290 of about 1,423,760 (351)

Next‐Generation Supercapacitors: Advances in Binder‐Free Electrodes, Scalable Fabrication, and Emerging Applications

open access: yesAdvanced Sustainable Systems, EarlyView.
Innovative fabrication methods are crucial for developing next‐generation supercapacitors. These techniques optimize electrode structures, boosting energy and power density while enabling scalable production. By overcoming current limitations, advanced fabrication unlocks supercapacitors' potential as efficient, reliable energy storage for diverse ...
Nikita A. Wadodkar   +8 more
wiley   +1 more source

Professional Identity Formation Metaphors: Old Problems and New Promises. [PDF]

open access: yesPerspect Med Educ
Varpio L   +3 more
europepmc   +1 more source

Capillary Dynamics Analysis of Millimetric Tubes for Anti‐Slip Surfaces: A Phase‐Field Based Finite Element Approach and Experimental Validation

open access: yesAdvanced Theory and Simulations, EarlyView.
Phase‐field method based numerical modelling of the capillary rise in millimeter‐sized tubes, aiming for anti‐slip applications. The experimental validation was performed through capillary assays in polyethylene oxide (PEO) bulk modified polydimethylsiloxane (PDMS) channels.
Shivam Sharma   +7 more
wiley   +1 more source

Professions, Professionalism, and Professional Identity

open access: yesAmerican Society for Clinical Laboratory Science, 2018
openaire   +1 more source

Multiomics Analyses Reveal an Essential Role of Tryptophan in Treatment of csDMARDs in Rheumatoid Arthritis

open access: yesAdvanced Science, EarlyView.
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian   +26 more
wiley   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang   +32 more
wiley   +1 more source

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