Machine learning enhanced aeration systems for optimizing oxygen transfer efficiency for sustainable and safe wastewater management. [PDF]
Shukla BK +4 more
europepmc +1 more source
Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung +4 more
wiley +1 more source
Random expansions of trees with bounded height [PDF]
Vera Koponen, Yasmin Tousinejad
openalex +1 more source
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen +6 more
wiley +1 more source
Explainable attrition risk scoring for managerial retention decisions in human resource analytics. [PDF]
Pavithran MS, Vadivel SM.
europepmc +1 more source
A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN [PDF]
Lasmedi Afuan, R. Rizal Isnanto
openalex +1 more source
detpack: Density Estimation and Random Number Generation with Distribution Element Trees [PDF]
Daniel Meyer
openalex +1 more source
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
Predicting individual tree diameter at breast height for genetically diverse <i>Catalpa bungei</i> using nonlinear mixed-effects models and UAV LiDAR data. [PDF]
Zhang Y +11 more
europepmc +1 more source
Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications
This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley +1 more source

