Results 171 to 180 of about 5,469,864 (348)
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du +11 more
wiley +1 more source
Understanding How Individuals Cope with the Grief of Ambiguous Loss When Someone They Love Goes Missing [PDF]
Each day, numerous loved ones feel the impacts of unresolved missing persons cases as they navigate the devastating experience of not knowing whether their loved one is dead or alive. The resulting grief, known as ambiguous loss, has a profound impact on
Mayer, Katelyn
core
The Dobbs Decision and the (False) Adoption "Option," A Personal Essay of "Ambiguous Loss" [PDF]
Stephanie A. Flores‐Koulish
openalex +1 more source
stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang +3 more
wiley +1 more source
Applying Ambiguous Loss Theory to the Unresolved Grief of Third-Culture Kids: Psychological Mechanisms and Possible Interventions [PDF]
Rachel Huang
openalex +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Atomically dispersed CuOx (CPCu‐1) forms isolated Cu–Ov sites that enable defect‐mediated O2 activation and fast electron/proton transfer via interfacial synergy. In contrast, thick CuOx clusters (CPCu‐10) promote a surface‐adsorption‐controlled pathway with intermediate accumulation, highlighting a mechanism switch from interfacial activation to ...
Yang‐Yang Hsu +8 more
wiley +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source

