Results 121 to 130 of about 307,781 (263)
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
Complete Issue Volume 13 Issue 4
Editor Journal of the Scholarship of Teaching and Learning
doaj
Insights Into History and Trends of Teaching and Learning in Stomatology Education: Bibliometric Analysis. [PDF]
Zou Z, Guo L.
europepmc +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
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
Complete Issue Volume 2 Issue 1
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Hypothalamic Control of Liver Health and Disease: From Circuits to Pathophysiology and Therapies
This review delineates the hypothalamic circuits that control liver homeostasis via autonomic and neuroendocrine pathways. Dysregulation of this hypothalamus–liver axis drives disease progression across a spectrum including steatotic liver disease, liver inflammation and injury, fibrosis, cirrhosis, and hepatocellular carcinoma.
Qin Tang +7 more
wiley +1 more source
Complete Issue Volume 14 Issue 1
Editor Journal of the Scholarship of Teaching and Learning
doaj
Promoting Data Literacy: Using Social and Emotional Learning Assessment Data to Inform Teaching and Learning. [PDF]
Ng ZJ +5 more
europepmc +1 more source
CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source

