Results 121 to 130 of about 4,310,333 (286)
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Hyperparameter optimization plays a pivotal role in the reliability and generalization of machine-learning models for software quality prediction. This paper presents a comparative evaluation of three search strategies: Grid Search, Random Search, and a ...
Marcela Mosquera +2 more
doaj +1 more source
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
wiley +1 more source
A Novel Approach for Enhancing Code Smell Detection Using Random Convolutional Kernel Transform
Context: In software engineering, the presence of code smells is closely associated with increased maintenance costs and complexities, making their detection and remediation an important concern.
Mostefai Abdelkader, Mekour Mansour
doaj +1 more source
Molecular editing of bilobalide uncovers BB56, a PREP‐engaging chemotype with enhanced anti‐inflammatory activity in microglia. Integrated CETSA‐MS, SAR, and pathway analyses link BB56 to attenuation of p38 MAPK/NF‐κB and NLRP3‐associated inflammatory signaling, highlighting bilobalide editing as a strategy for developing neuroinflammation‐modulating ...
Chanin Sillapachaiyaporn +20 more
wiley +1 more source
Code smells, being inherently subjective, can vary based on individual software developers' opinions and perspectives. Though many deep-learning-based models have been proposed for code smell detection, they often overlook the importance of considering ...
Nandani, Himesh
core
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Overview of Code Smell Detection Tools for Android and iOS Applications
The aim of this thesis is to give an up-to-date overview of code smell detection tools for Android and iOS applications. There are numerous tools available for developers that help detect code smells and refactor code.
Sakerman, Liisa
core
A piezocatalytic strategy enables simultaneous wastewater purification and hydrogen generation by harnessing mechanical energy. Complementary piezo‐induced charges are selectively directed toward oxidation and reduction pathways, achieving efficient pollutant degradation and continuous H2 evolution.
Yiqing Wei +8 more
wiley +1 more source
Umbilical cord stem cell‐derived exosomes encapsulated in an immunomodulatory bioadhesive hydrogel spray enable localized therapy, sustained vesicle delivery, macrophage polarization, suppress systemic inflammation, and mitigate glucose and insulin homeostasis impairments in MAFLD.
Triya Saha +4 more
wiley +1 more source

