Results 201 to 210 of about 199,658 (311)

Uncovering Archaeological Treasures at Saruq al‐Hadid, UAE: Insights From Ground Penetrating Radar and Magnetic Data

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Saruq al‐Hadid, located at the edge of the Rub Al‐Khali desert near Dubai's southern border with Abu Dhabi, is among the region's richest archaeological sites. Renowned for its historical role in metallurgy, trade and human habitation, the site was occupied from the Umm an‐Nar period through the post–Iron Age. Despite its significance, much of
Moamen Ali   +9 more
wiley   +1 more source

Identifying Predictive Biomarkers of Response in Patients With Rheumatoid Arthritis Treated With Adalimumab Using Machine Learning Analysis of Whole‐Blood Transcriptomics Data

open access: yesArthritis &Rheumatology, EarlyView.
Objective Tumornecrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis (RA) management, yet variability in patient response remains a substantial challenge, with approximately 40% of patients discontinuing TNFi due to nonresponse or adverse effects.
Chuan Fu Yap   +12 more
wiley   +1 more source

Global Recruiting Patterns and Placebo Response Rates in Clinical Trials of Psoriatic Arthritis and Plaque Psoriasis

open access: yesArthritis &Rheumatology, EarlyView.
Objective Placebo effects are a significant challenge in the conduct of clinical trials. We explored how global recruitment patterns influence the extent of placebo responses in randomized controlled trials of psoriatic arthritis and plaque psoriasis.
Andreas Kerschbaumer   +8 more
wiley   +1 more source

A Cellular Automation for Real‐Time Electrolyte Wetting Simulation in Multilayer Lithium‐Ion Cells: From Lab Data to Full‐Scale Formats

open access: yesBatteries &Supercaps, EarlyView.
A cellular automaton model is introduced for simulating electrolyte wetting in porous battery composites. The model offers high flexibility, near real‐time runtimes, and strong agreement with experimental data. Validated on individual and multilayer configurations, the model enables fast, accurate wetting prediction for pouch, and cylindrical cell ...
Nicolaj Kaden   +5 more
wiley   +1 more source

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

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