Results 171 to 180 of about 1,223,679 (302)
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Efficacy of stem cell boost (SCB) for chimeric antigen receptor-T cell therapy (CAR-T)-related hematologic toxicity in patients with relapsed/refractory multiple myeloma (RRMM)-real world experience from the US multiple myeloma immunotherapy consortium. [PDF]
Varga C +27 more
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
High output power low temperature polysilicon thin-film transistor boost converters for large-area sensor and actuator applications. [PDF]
Velazquez Lopez M +4 more
europepmc +1 more source
DCM BOOST CONVERTER WITH HIGH EFFICIENCY [PDF]
openaire +1 more source
Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger +9 more
wiley +1 more source
Boosting boron nitride’s high-temperature performance
Coating boron nitride nanotube fabrics with aluminum oxide improved its thermal conductivity and oxidation resistance.
openaire +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
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
This study reports a microfluidic device with a functionalized surface utilizing a polyoxazoline coating and covalently immobilized gold nanoparticles and anti‐phosphatidylserine antibody. The device efficiently eliminates pre‐apoptotic and apoptotic spermatozoa and yields sperm with substantially improved quality and low DNA damage, offering a simple ...
Soraya Rasi Ghaemi +5 more
wiley +1 more source

