Results 141 to 150 of about 6,293,684 (257)

FPGA Based Space Vector Modulation Strategy for the Three-Phase 7-Level Multiplexed Converter

This paper presents the Space Vector Modulation (SVM) strategy for a three-phase 7-level multiplexed converter (3φ7L MLMXC) in high-power AC applications.
Baschera, Nicolas Eugenio, Di Benedetto, Marco, Lidozzi, Alessandro, Solero, Luca   +3 more
core   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Multimodal Integration Identifies C16orf74 as an EMT Regulator With Prognostic Relevance in HNSCC

Cancer Science, EarlyView.
Multimodal integration of transcriptomics and histopathology imaging identifies C16orf74 as a key EMT‐associated malignant regulator in HNSCC and enables development of an EMT‐based pathomics model from whole‐slide images for robust prognostic and therapeutic stratification.
Zhijun Huang, Tatsuhiko Anzai, Jin Lu, Yuki Fukawa, Aya Ushio, Naozumi Ishimaru, Katarzyna A. Podyma‐Inoue, Tetsuro Watabe   +7 more
wiley   +1 more source

Spectral Transforms as a Tool to Optimize Digital Phenotyping in Biological Images

Journal of Animal Breeding and Genetics, EarlyView.
ABSTRACT Modern livestock breeding has mastered genotyping. Genome‐wide association studies, genomic selection, and SNP arrays enable genetic merit prediction at lower cost. However, phenotyping remains the bottleneck, as manual measurement is slow, expensive, subjective, and unable to capture spatial or temporal trait organization. Digital phenotyping
Joseane Padilha, Jose Victor Vieira Isola, Elsio Antonio Pereira de Figueiredo   +2 more
wiley   +1 more source

Microbiome and Metabolomics in Obesity: Advances in Understanding and Interventions Across the Lifespan

Obesity Reviews, EarlyView.
ABSTRACT Obesity arises from intertwined and reciprocal diet‐microbiome‐host pathways that reshape energy balance, insulin sensitivity, and inflammation. This review synthesizes mechanistic links between microbial functions and metabolic control, charts lifestyle‐related lifecourse dynamics from birth to older age, examines how GLP‐1‐based therapies ...
Ioanna Panagiota Kalafati, David Krongauz, Alice Bosco, Antonio Noto, Cristina Piras, Maria Kafyra, Angelica Dessì, Matteo Mauri, Luigi Atzori, Adina Weinberger, Vassilios Fanos, George V. Dedoussis, on behalf of the BETTER4U consortium   +12 more
wiley   +1 more source

Perceptual Priors Update Contextual Feedback Processing in V1

Topics in Cognitive Science, EarlyView.
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova, Yingying Huang, Lars F. Muckli, Lucy S. Petro   +3 more
wiley   +1 more source

A Stacking Ensemble Machine Learning Model for Predicting Vitamin D Deficiency in Bangladeshi Infants

Vector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
This study uses machine learning to predict vitamin D levels in Bangladeshi infants aged 12–24 months, addressing deficiency despite abundant sunlight. A stacking ensemble model combining Gaussian regressor, extra trees and XGBoost achieved the highest accuracy (R2$R^2$: 0.933, RMSE: 3.312).
Sadia Nasrin Tuly, Shatabdi Majumder, Koushik Roy, Md. Easin, Saha Reno, Golam Moktader Nayeem, Ahosan Habib, Atoshi Chowdhury   +7 more
wiley   +1 more source

Transfer learning for honey bee toxicity prediction: MolFormer versus classical QSAR representations. [PDF]

Ecotoxicology
de Souza Pinho AV, de Alencar Filho EB, de Oliveira Neto RF.   +2 more
europepmc   +1 more source