Results 111 to 120 of about 90,332 (254)

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

Canonical Antibodies Adopt Distinct Binding Modes to Recognize Viral Glycan Shields

Advanced Science, EarlyView.
Canonical Y‐shaped antibodies recognize viral glycan shields through adaptive Fab assembly states shaped by glycan organization and somatic hypermutation. Structural analyses ofbroadly neutralizing antibodies VRC35 and VRC36 across glycoproteins of HIV‐1, influenza, SARS‐CoV‐2, and Lassa viruses reveal distinct Fab assembly states, spanning monovalent,
Jiaxuan Cheng, Evan M. Cale, Amirabbas Maghsoudi, Matthew S. Sutton, Nancy S. Longo, Rebecca A. Gillespie, Lingshu Wang, Ivan Kosik, Sue Chong, Atsuhiro Yasuhara, Tatsiana Bylund, Arne Schön, Prabhanshu Tripathi, Yaroslav Tsybovsky, Haotian Lei, Nicholas C. Morano, Allison B. Lupatkin, Abraham J. Morton, Zabrina C. Lang, Jordan E. Becker, Isabella R. Frascilla, Myungjin Lee, Ning Li, Cuiping Liu, Ryan S. Roark, Chen‐Hsiang Shen, I‐Ting Teng, David J. Van Wazer, Danyi Wang, Lingyuan Wu, Goran Ahlsen, Mike Castro, Haijuan Du, Michael J. Ernandes, Tiansheng Li, Bob C. Lin, Mark K. Louder, Krisha McKee, Jonah S. Merriam, Sijy O'Dell, Li Ou, Sergei Pletnev, David Prikryl, Qi Qiu, Sarah Rubin, Mallika Sastry, Stephen D. Schmidt, Asif Shajahan, Andrea R. Shiakolas, Sanjay Srivatsan, Baoshan Zhang, Qiong Zhou, Mark Connors, Jason G. Gall, Yicheng Guo, Rick K. Huang, Yaoxing Huang, Richard A. Koup, Q. Paula Lei, John R. Mascola, Reda Rawi, Leonid Serebryannyy, Lawrence Shapiro, Zizhang Sheng, David D. Ho, Patrick C. Wilson, Jonathan W. Yewdell, Theodore C. Pierson, Masaru Kanekiyo, Nicole A. Doria‐Rose, Peter D. Kwong, Tongqing Zhou   +71 more
wiley   +1 more source

Topology‐Enabled Finite‐Band Absorption Framework Based on a Bioinspired Nested Dual‐Loop Architecture

Advanced Science, EarlyView.
A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Shaokang Liu, Weicheng Liao, Pinchen Luo, Mengchen Jin, Tangming Yan, Xing Zhao, Qingshan Wang   +6 more
wiley   +1 more source

Closing the evidence gap: reddemcee, a fast adaptive parallel tempering sampler

Astronomy & Astrophysics
Context. Markov chain Monte Carlo (MCMC) excels at sampling complex posteriors, but traditionally lags behind nested sampling in accurate evidence estimation, which is crucial for model comparison in astrophysical problems. Aims.
Peña R Pablo A., Jenkins James S.
doaj   +1 more source

Small Area Estimation using EBLUPs under the Nested Error Regression Model

Statistica Sinica
Estimating characteristics of domains (referred to as small areas) within a population from sample surveys of the population is an important problem in survey statistics. In this paper, we consider model-based small area estimation under the nested error regression model.
Lyu, Ziyang, Welsh, A. H.
openaire   +3 more sources

Compact 9dBEs Enable Efficient and Precise Genome Editing in Mammalian Cells and In Vivo

Advanced Science, EarlyView.
As a compact type II‐D system, the Cas9d‐based platform holds great potential for in vivo applications. Through rational engineering, its derived base editors (9dBEs) enable efficient disease modeling while facilitating single‐vector AAV delivery for in vivo genome editing. These miniature tools offer a robust strategy for basic research and biomedical
Qingquan Xiao, Zhijin Tian, Luqi Weng, Kun Xu, Dingyi Han, Zhaowei Wu, Junnan Li, Shangpu Li, Qijing Zhang, Xiaohui Zhao, Guoling Li, Yinghui Wei, Zhen Gu   +12 more
wiley   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

Advanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang, Chengfei Jiang, April W. Mao, Qi Sun, Yijun Lu, Jingjing Wei, Jamie L. Inman, Susan E. Celniker, Antoine M. Snijders, David W. Threadgill, Allan Balmain, Bo Hang, Hang Chang, Lei Wang, Jian‐Hua Mao   +14 more
wiley   +1 more source

Bayesian tree and differential radial network with Bi-LSTM for wind power prediction in coastal and non-coastal regions in Andhra Pradesh

International Journal of Electrical Power & Energy Systems
Wind energy is an essential renewable resource that is utilized to generate clean electricity in isolated regions, but it is difficult to harvest efficiently in both coastal and non-coastal places due to its unpredictable nature.
Poosarla Venkata Sireesha, Sandhya Thotakura   +1 more
doaj   +1 more source

A Modular Variable Stiffness Co‐Bot System Achieving Tasks Flexibility and Contact Compliance

Advanced Science, EarlyView.
Bio‐inspired antagonistic compliance enables a modular rigid‐soft co‐bot platform with variable stiffness for safe human‐robot interaction (HRI): Standardized interfaces support application‐driven configurations with tailored DoFs, workspace, and stiffness range, making the system suited to HRI and low‐volume automation.
Wenlong Gaozhang, Yue Li, Jialei Shi, Yaxi Wang, Kaspar Althoefer, Agostino Stilli, Helge A. Wurdemann   +6 more
wiley   +1 more source

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

Advanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English, Dorothea Böken, Matthew W. Cotton, Matthew R. Cheetham, Johanna S. Jackson, Georg Meisl, John S. H. Danial, Paul M. Matthews, Nurun N. Fancy, David Klenerman   +9 more
wiley   +1 more source