Results 211 to 220 of about 1,502,113 (258)

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

AIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

Draft genome sequence of <i>Ligilactobacillus agilis</i> strain SY88 isolated from yogurt in Rajshahi, Bangladesh. [PDF]

Microbiol Resour Announc
Ema NT, Goshwami A, Tasnim A, Dey AK, Roy DR, Ahmed S, Habib MA, Khan MS.   +7 more
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

The New Orleans Healthy Default Beverage Policy and Beverage Ordering Among Children.

JAMA Netw Open
Fuster M, Wang Y, Stoecker C, Muñoz MM, Rose D, Hofmann LP, Knapp M.   +6 more
europepmc   +1 more source

The Health of Nations Fund: Financing global drug development. [PDF]

PLOS Glob Public Health
Cho J, Singh M, Zhao C, Chaudhuri SE, Lo AW.   +4 more
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
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, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Modeling framework to demonstrate elimination of a vector population: Tsetse elimination in Chad. [PDF]

Proc Natl Acad Sci U S A
Hargrove J, Mahamat MH, Aldjibert M, Yoni W, Signaboubo D, Darnas J, Salou E, Tirados I, Mugenyi A, Barreaux P, Solano P, Barreaux AMG.   +11 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

A simple probabilistic AlphaFold interaction score. [PDF]

Protein Sci
Badonyi M, Toth-Petroczy A.
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source