Results 201 to 210 of about 3,034,859 (274)
Bloodstream infections (BSI) are one of the leading causes of mortality and morbidity in both civilian and military populations. This paper summarizes recent progress in novel treatment strategies to manage BSI arising from both bacterial and fungal pathogens using molecules, particles, and materials to elicit host‐directed immunity.
Thomas Thomou +11 more
wiley +1 more source
Systematic review and meta-analysis of the impact of STEM education on students learning outcomes. [PDF]
Cao X, Lu H, Wu Q, Hsu Y.
europepmc +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Attainment of medical student learning outcomes following general practice specialty trainee supervision: a pilot study. [PDF]
Carson J +7 more
europepmc +1 more source
A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee +8 more
wiley +1 more source
The Impact of Virtual Reality Immersion on Learning Outcomes: A Comparative Study of Declarative and Procedural Knowledge Acquisition. [PDF]
Yu N, Shi W, Dong W, Kang R.
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Learning Outcomes of Virtual Journal Clubs in Comparison to Real Ones in Pediatric Neurology Fellows. [PDF]
Mohammadi M +8 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

