Results 241 to 250 of about 3,920,725 (334)

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Observer-based optimal and robust output regulation for nonlinear systems. [PDF]

PLoS One
Qazi AKA, Memon AY.
europepmc   +1 more source

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

General Practitioner Sex and Documented Cancer Prevalence in German Primary Care: A Matched Cross-Sectional Study. [PDF]

Epidemiologia (Basel)
Kostev K, Klein I, Alymova S, Konrad M.
europepmc   +1 more source

TiO6 as a Compensatory Structural Unit in Co‐Free, High‐Ni Layered Oxide for Durable Lithium‐Ion Batteries

Advanced Science, EarlyView.
Ti substitution stabilizes Co‐free high‐Ni layered oxides through both structural and electronic effects. TiO6 octahedra act as compensatory structural units that help interrupt cooperative Jahn–Teller distortion and suppress detrimental phase transitions, while the electron‐withdrawing inductive effect of Ti stabilizes the oxygen lattice. As a result,
Bixian Ying, Zhenjie Teng, Jun Wang, Honghong Tian, Charlotte von Petersdorff‐Campen, Rommel T. Tolla, Iuliia Mikulska, Linus Voigt, Sascha Nowak, Verena Naber, Alexander Schökel, Yuanming Liu, Michael Merz, Peter Nagel, Stefan Schuppler, Katja Frenzel, Adrian Jonas, Lena Mathies, Martin Winter, Karin Kleiner   +19 more
wiley   +1 more source

A stable tensorial approach for inversion of adsorption potential energy from isotherm data. [PDF]

J Mol Model
Oliveira Alves M, Silva Carvalho F, Braga JP.   +2 more
europepmc   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

Service Coverage and Financial Hardship Under Universal Health Coverage: Uneven Associations Across 159 Countries (2000-2023). [PDF]

Int J Environ Res Public Health
Díaz-Pérez A, Pérez WA.
europepmc   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Causal Analysis of Multidimensional Dietary Data to Assess Effects on All-Cause Mortality. [PDF]

Nutrients
Melaku YA, Shi Z.
europepmc   +1 more source