Results 121 to 130 of about 1,669,943 (280)

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates

Advanced Science, EarlyView.
Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta, Julien Duclay, Robin Baurès, Andrea Alamia   +3 more
wiley   +1 more source

Serial Molecular‐Microstructural Multimodal Intravascular Imaging of Atherosclerotic Plaques in Mice

Advanced Science, EarlyView.
A novel longitudinal molecular and microstructural intravascular imaging approach is developed to study murine atherosclerosis. The technique combines a unique surgical model with a miniaturized multimodal device to detect macrophage activity and lipid simultaneously.
Jiawen Li, Joanne T. M. Tan, Lei Xiang, Jiandi Liu, Ayla Hoogendoorn, Victoria A. Nankivell, Lauren Sandeman, Richard Le, Rouyan Chen, Robert A. McLaughlin, Peter J. Psaltis, Johan W. Verjans, Christina A. Bursill   +12 more
wiley   +1 more source

Oligosaccharides With Defined Glycosidic Bonds Shape Gut Microbial Succession and Metabolism Via Bond‐Specific Microbial Responders

Advanced Science, EarlyView.
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu, Jiaqi Zou, Geng Han, Mengyao Zhao, Ting Luo, Xiangru Feng, Liangliang Zhu, Yijia Chen, Xiaoguo Ji, Jiayang Jin, Liming Zhao   +10 more
wiley   +1 more source

YTHDC1 Orchestrates Glucose and Glutamate Rewiring to Overcome Lethal Metabolic Stress in Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
Lai et al. find that m6A reader YTHDC1 is specifically overexpressed in triple‐negative breast cancer (TNBC) and orchestrates glucose and glutamine metabolism in an m6A‐dependent manner to confer robust adaptability to lethal metabolic stress. Leveraging YTHDC1 knockdown‐induced metabolic vulnerability, an ATF4 mRNA‐targeted nanotherapy is developed to
Zheng‐Hao Lai, Yi Wang, Na‐Na Li, Ling Zeng, Renzhong Liu, Xue Li, Cheukfai Li, Xin‐Yu Ma, Wenkui Fu, Yingsen Tang, Jinjin Chen, Ning Liao, Man‐Li Luo   +12 more
wiley   +1 more source

Longitudinal Multifrequency MR Elastography Reveals Biomechanical Signatures of Progression in a Translational Liver Tumor Model

Advanced Science, EarlyView.
Longitudinal multifrequency magnetic resonance elastography (mMRE) performed on a clinical 3 Tesla magnetic resonance imaging system reveals early biomechanical alterations during liver tumor progression in a translational VX2 model. Changes in tumor stiffness and viscosity precede diffusion‐related alterations and are associated with extracellular ...
Justus Ramtke, Friederike Hesse, Lasse Noack, Justus Klockner, Yubei He, Yu Liu, Yanglei Wu, Robin Schmidt, Selma Saclier, Salma A. S. Abosabie, Tom Meyer, Richard Ruppel, Nikolaus Berndt, Michael Mülleder, Eyk Schellenberger, Nicola Beindorff, Dominik N. Müller, Ingolf Sack, Jing Guo, Shraga Nahum Goldberg, Lynn Jeanette Savic   +20 more
wiley   +1 more source

Multi-user channel estimation for uplink OFDMA systems based on the random-set theory

Tongxin xuebao, 2012
For the uplink OFDMA systems,a random-set theory based multi-user channel estimation algorithm was proposed.In the proposed algorithm,states of the users the multi-path channels were modeled and described by a finite random set.Then the Bayes filtering ...
Yuan JING, Bin NIU, Ying-ying TAI
doaj   +2 more sources

Pathological Signal‐Responsive Nanoplatforms for Sepsis: Integrating Biomarker Sensing With Spatiotemporal Drug Delivery and Immunomodulation

Advanced Science, EarlyView.
Biomarker‐triggered nanoplatforms transform sepsis therapy by coupling pathological sensing with precision drug release. This review reveals how microenvironment‐responsive nanomedicines enable stage‐specific intervention, improve therapeutic efficacy, and minimize systemic toxicity, while highlighting emerging opportunities for AI‐assisted and ...
Yukun Liu, Kang Wang, Kwet Kyawl Yan, Zhikai Xu, Xuan Zhao, Xiangjun Bai, Zhanfei Li, Yuchang Wang   +7 more
wiley   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source