Results 181 to 190 of about 816,649 (277)

SUITPy: A Python-based toolbox for the analysis of cerebellar functional and anatomical imaging data across the human lifespan. [PDF]

open access: yesImaging Neurosci (Camb)
Wang Y   +8 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

Plaid‐Like Spin Splitting and Chirality of Magnon Bands in Antiferromagnetic MnTe2

open access: yesAdvanced Science, EarlyView.
Helicity‐ and angle‐resolved Raman spectroscopy reveals chiral magnons in the non‐coplanar antiferromagnet MnTe 2. Combined with first‐principles calculations and spin‐wave theory, the results establish its altermagnetic character through circular Raman dichroism, reduced rotational symmetry, and a distinctive plaid‐like momentum‐space magnon spin ...
Dirk Wulferding   +10 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

Chemoselective Metabolomics via a Modular Reactivity‐Encoding Platform

open access: yesAdvanced Science, EarlyView.
Conventional LC–MS underrepresents numerous metabolites due to heterogeneous ionization efficiencies and matrix interference. Here, we introduce a modular reactivity‐encoding platform (MREP) comprising four alkyne‐tagged probes that selectively derivatize key functional groups, followed by unified click‐chemistry capture to eliminate matrix components ...
Xin Tao   +10 more
wiley   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

open access: yesAdvanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

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