Results 161 to 170 of about 1,633,452 (314)
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
Evaluation of the quality of standing trees using an Arbotom acoustic stress tomograph
The assessment of wood quality in forestry operations is crucial for both forestry enterprises and the wood processing sector. Acoustic equipment utilizing excited stress acoustic waves has emerged as a valuable tool for evaluating the internal structure
Michajlová Katarína +3 more
doaj +1 more source
Accuracy of genomic selection for growth and wood quality traits in two control-pollinated progeny trials using exome capture as the genotyping platform in Norway spruce. [PDF]
Chen ZQ +7 more
europepmc +1 more source
3D porous carbons with tunable density are crucial for energy storage, separations, and load‐bearing applications; however, their fabrication is often constrained by shrinkage during pyrolysis. This study optimizes and demonstrates the versatility of a template–coating pair strategy, producing materials that largely retain their shape and hierarchical ...
Adarsh Suresh +7 more
wiley +1 more source
A Termite‐Inspired Alternative to Cement
A termite‐inspired composite of clay, cellulose, and lignin forms a dense fibrous network with concrete‐like strength (32 MPa) and superior elasticity, processed at ambient temperature. Abstract Clay combined with organic materials is used by termites as a strong and durable construction material for their mounds with minimal environmental impact. Here,
Oren Regev +3 more
wiley +1 more source
The pyrene and ether groups are incorporated into the covalent triazine polymer (CTP) structure. The synergistic effect of the two functional groups endows CTP with better electron transfer, light absorption, and oxygen activation properties. An impressive apparent quantum yield (13.2% @420 nm) and a remarkable solar‐to‐chemical conversion efficiency ...
Chong Wang +10 more
wiley +1 more source
This study demonstrates a Maya blue‐inspired hybrid solar evaporator using commercial black acrylic paint, achieving 98% solar‐thermal conversion efficiency and 2.39 kg m−2 h−1 water evaporation rate through a durable, hydrophilic organic–inorganic structure that enables scalable, cost‐effective desalination and wastewater purification.
Dao Thi Dung +5 more
wiley +1 more source
Objetivou-se avaliar o emprego de ensaios de dureza Rockwell na caracterização da biodeterioração das madeiras de Simarouba amara (marupá), Cariniana micrantha (jequitibá) e Dipteryx odorata (cumaru), submetidas ao ataque dos fungos apodrecedores ...
Diego Martins Stangerlin +3 more
doaj
Electroactive Liquid Crystal Elastomers as Soft Actuators
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley +1 more source
Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley +1 more source

