Results 101 to 110 of about 339 (184)

Strain Tuning the Occupation of Candidate Topological Weyl States in W‐Doped MoTe2

Advanced Science, EarlyView.
The present study investigates strain‐induced modifications of the electronic structure in the Weyl semimetal Td${\rm T}_d$‐Mo0.91W0.09Te2${\mathrm{Mo}}_{0.91}{\mathrm{W}}_{0.09}{\mathrm{Te}}_{2}$ using hard X‐ray angle‐resolved photoemission spectroscopy.
Amon Lanz, Olena Tkach, Yaryna Lytvynenko, Florian Diekmann, Harshit Agarwal, Sofia Michaela Souliou, Mehdi Frachet, Michael Merz, Sergii V. Chernov, Andrei Gloskovskii, Volkmar Koller, Dmytro Kutnyakhov, Moritz Hoesch, Christoph Schlueter, Philipp Rüssmann, Yuriy Mokrousov, Matthieu Le Tacon, Kai Rossnagel, Jure Demsar, Gerd Schönhense, Hans‐Joachim Elmers, Olena Fedchenko   +21 more
wiley   +1 more source

A spatially informed matrix normal model for gene co-expression analysis in spatial transcriptomics studies. [PDF]

Nucleic Acids Res
Tan C, Ma Y.
europepmc   +1 more source

How Proton Incorporation Reshapes Lattice Dynamics In BaSnO3‐Type Proton Conductors

Advanced Science, EarlyView.
Yttrium‐doped BaSnO3 exhibits isotope‐dependent changes in its low‐energy vibrational density of states upon hydration. Comparison of dry, H2O‐, and D2O‐treated samples re‐veals mass‐dependent phonon renormalization linked to proton dynamics near oxygen va‐cancies, providing experimental insight into hydrogen‐coupled lattice excitations in proton ...
Artur Braun, Alexey Rulev, Nobumoto Nagasawa, Hongxin Wang, Tatyana Bendikov, Vladimir Pomjakushin, Martin Kunz, Yoshitaka Yoda, Qianli Chen, Stephen P. Cramer   +9 more
wiley   +1 more source

Deep learning classification of ex vivo human colon tissues using spectroscopic optical coherence tomography. [PDF]

J Biophotonics
Kendall WY, Tian Q, Zhao S, Mirminachi S, O'Kane E, Joseph A, Dufault D, Miller DA, Shi C, Roper J, Wax A.   +10 more
europepmc   +1 more source

The Spatiotemporal Genetic Architecture of Seed Vigor in Upland Cotton

Advanced Science, EarlyView.
Leveraging the semi‐automated SeedRanger platform, we profiled the germination kinetics of 356 cotton accessions at a 30‐min interval. This high‐throughput phenomic approach delineated a temporal genetic network comprising 541 stage‐specific loci. Crucially, functional validation identified FLA2 as a pivotal, auxin‐modulated regulator that orchestrates
Luyao Wang, Jie Dai, Ting Zhao, Shengjun Zhao, Hongyu Wu, Jiaying Pan, Yupeng Hao, Ke Nie, Li Yu, Yumeng Zhu, Xiangyi Zhao, Kai Huang, Mengke Zhang, Yongyan Zhao, Yaping Jiang, Siyuan Wang, Yiling Pan, Yubing Chen, Yilai Lin, Wanghong Shi, Yayuan Deng, Jin Han, Jie Li, Xuan Long, Junbin Wang, Zhiyuan Zhang, Zegang Han, Zhanfeng Si, Lei Ju, Jun Li, Tianzhen Zhang, Ji Zhou, Xueying Guan   +32 more
wiley   +1 more source

Component stability in low-space massively parallel computation. [PDF]

Distrib Comput
Czumaj A, Davies-Peck P, Parter M.
europepmc   +1 more source

Infrared: a declarative tree decomposition-powered framework for bioinformatics

, 2023
Yao H, Marchand B, Berkemer SJ, Ponty Y, Will S.   +4 more
europepmc   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Advances in AI-based diagnosis of Alzheimer's disease using MRI: a comprehensive survey. [PDF]

Front Med (Lausanne)
Alyaqoobi HIR, Lopez-Guede JM, Dara OA, Ramos-Hernanz JA, Aramendia I, Teso-Fz-Betoño D.   +5 more
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source