Results 171 to 180 of about 6,293,684 (257)

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 6, November 2026.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu   +4 more
wiley   +1 more source

Multimodal Deep Learning Approach Using Laser Doppler Flowmetry, Fluorescence Spectroscopy, and Clinical Data for Multi‐Class Mental Health and Severity Classification

open access: yesEngineering Reports, Volume 8, Issue 11, November 2026.
X‐DyFGate introduces adaptive cross‐modal fusion of physiological and clinical information for personalized mental health assessment. The framework combines cross‐attention, dynamic feature gating, and interpretable multimodal learning to achieve highly accurate and clinically meaningful predictions.
Kavitha Suresh Jayasree   +1 more
wiley   +1 more source

Supplementing With the Vitamin A Metabolite Retinoic Acid Can Alleviate Negative Affective States Caused by SPI1‐Induced Immune and Metabolic Dysfunctions Following Intestinal Barrier Impairment

open access: yesFood Frontiers, Volume 7, Issue 6, November 2026.
ABSTRACT Ulcerative colitis (UC) and depression (DP) are significant comorbidities in epidemiological research. However, the mechanisms underlying UC‐induced DP remain poorly understood. Myeloid differentiation and retinoic acid metabolic dysregulation are implicated in both conditions, yet their interconnection in the context of comorbidity is unclear.
Yang Feng   +7 more
wiley   +1 more source

Intratumoral and Peritumoral Functional Connectivity Reveals Network‐Level Signatures of Glioma

open access: yesMedComm, Volume 7, Issue 11, November 2026.
Using resting‐state fMRI in 306 glioma patients, this study maps individualized intra‐ and peritumoral functional networks. Novel metrics (RIFR, RPTR) quantify tumor‐related network remodeling, correlating with pathology, structure, cognition, and survival. A prognostic model incorporating these network features achieves an AUC of 0.90.
Hongbo Bao   +24 more
wiley   +1 more source

Unlocking the Potential of Machine Learning for Advanced Single‐Atom Catalysts Design in Promoting Electrochemical CO2 Reduction

open access: yesRare Metals, Volume 45, Issue 11, November 2026.
ABSTRACT Electrocatalytic CO2 reduction reaction (CO2RR) represents a pivotal pathway for the promotion of carbon neutrality and the preparation of highly valuable chemicals. To improve the product selectivity and catalytic efficiency of CO2RR, single‐atom catalysts (SACs) offering highly efficient atomic utilization rates and adjustable electronic ...
Xiaorui Liu   +7 more
wiley   +1 more source

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