Results 141 to 150 of about 74,738 (204)

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

open access: yesAdvanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna   +5 more
wiley   +1 more source

Gate‐Align‐SED: Semi‐Supervised Sound Event Detection via Adaptive Feature Gating and Cross‐Task Alignment in Situation Awareness

open access: yesAdvanced Intelligent Systems, EarlyView.
Overview of the proposed Gate‐Align‐SED, including two stages of training: (1) Mean‐Teacher SSL Training; and (2) Enhancer Model Training. In complex real‐world environments such as disaster monitoring, effective sound event detection (SED) is often hindered by the presence of noise and limited labeled data.
Jieli Chen   +4 more
wiley   +1 more source

Cost-Effectiveness of Transcranial Magnetic Stimulation and Virtual Reality-Based Cognitive Remediation for Depressive Symptoms among Cancer Patients: Protocol for a Three-Arm Randomized Controlled Trial. [PDF]

open access: yesClin Pract Epidemiol Ment Health
Sancassiani F   +17 more
europepmc   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt   +6 more
wiley   +1 more source

Recent Trends in Metabolomics by NMR Spectroscopy

open access: yesAngewandte Chemie, EarlyView.
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco   +6 more
wiley   +2 more sources

Exploratory Analysis of Inflammatory Biomarkers and Their Association with Psychological Burden in Mexican Informal Caregivers: A Cross-Sectional Study in the Emergency Department. [PDF]

open access: yesInt J Mol Sci
Gómez-Ramos JJ   +6 more
europepmc   +1 more source

Accounting for animal health in efficiency analysis: An application to Swedish dairy farms

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang   +3 more
wiley   +1 more source

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