Results 211 to 220 of about 347,710 (303)

Silicone oil–based ferrofluid microrobots for versatile magnetic digital microfluidics

open access: yesDroplet, EarlyView.
A magneto‐silicobotic system is a magnetic digital microfluidic platform that employs a silicone oil–based ferrofluid droplet as a chemically and biologically inert microrobot for the versatile manipulation of droplets and solid particles. Abstract Magnetic digital microfluidics offers a promising alternative to the dominant electrowetting‐based ...
Pu Liu   +3 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Solar Fuels Via Methane Valorization: Thermochemical Pathways, Unified Metrics, and Techno‐Economic Perspectives

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez   +3 more
wiley   +1 more source

Targeted senotherapy improves electrographic and behavioral outcomes in a mouse model of temporal lobe epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Current pharmacotherapy for temporal lobe epilepsy (TLE) is limited to symptomatic treatment and leaves approximately one third of patients with inadequate seizure control. Discovering disease‐modifying targets is an unmet clinical need. We have previously identified senescent cells (SCs) as one such target. Many drugs that eliminate
David J. McFall   +3 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy