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
The Influence of the Capping Step During Solid-Phase Phosphoramidite Synthesis of Oligonucleotides on Synthetic Errors in Oligonucleotides. [PDF]
Yakovleva KI +7 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Design and synthesis of a chemically diverse, lead-like DNA-encoded library from sequential amide coupling. [PDF]
Taylor CE +7 more
europepmc +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Deep Caries Management: EFCD-ESE-ORCA S3-Level Clinical Practice Guideline. [PDF]
Schwendicke F +11 more
europepmc +2 more sources
Partial pulpotomy for carious pulp exposure in adult mature permanent teeth: a systematic review and meta-analysis. [PDF]
Abdelkhader S +3 more
europepmc +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
We report on a suitable approach to predict the chirality “strength” and efficacy of chirality transfer from chiral nanoshape solutes to an achiral discotic nematic (ND) liquid crystal solvent. Highly efficacious chirality transfer based on shape commensurability between nanoshape solute (in the form of gold nanodiscs, GNDs) and a ND solvent was ...
Gourab Acharjee +10 more
wiley +2 more sources
Polyherbal-Mediated Synthesis of Copper Nanoparticles Using <i>Hygrophila auriculata</i> and <i>Leucas aspera</i>: Cytotoxicity, Antioxidant Effect, and Antibacterial Potential Against Healthcare-Associated Pathogens. [PDF]
Vijayakumar G +6 more
europepmc +1 more source

