Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Some notes on Joy. From the history of the Persian lexicon
Sophia Vinogradova, Zoya Bitarty
openalex +1 more source
Human language evolution: a view from theoretical linguistics on how syntax and the lexicon first came into being [PDF]
Haruka Fujita, Koji Fujita
openalex +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Communicative portrait of a future doctor: to the statement of a problem
This article is devoted to the research of a speech portrait features of the modern medical student. In the article the analysis of medical school students’ lexicon is given, attempt of description of an individual and collective speech portrait ...
R A Arzumanova, G M Drogova
doaj
Online Method And Mental Lexicon In Children Language Processing Psycholinguistics Approach
Andi Asrifan +2 more
openalex +2 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Johannes P. LOUW et Eugene A. NIDA (eds.) (1988) : Greek-English Lexicon of the New Testament Based on Semantic Domains, New York, United Bible Societies, vol. 1 : 843 p., vol. 2 : 375 p. [PDF]
Robert Mackenzie, Michael Pettem
openalex +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source

