Results 111 to 120 of about 7,350 (305)

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +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

OSFS‐Vague: Online streaming feature selection algorithm based on vague set

CAAI Transactions on Intelligence Technology
Online streaming feature selection (OSFS), as an online learning manner to handle streaming features, is critical in addressing high‐dimensional data. In real big data‐related applications, the patterns and distributions of streaming features constantly ...
Jie Yang, Zhijun Wang, Guoyin Wang, Yanmin Liu, Yi He, Di Wu   +5 more
doaj   +1 more source

Streaming Algorithms for Maximizing Monotone Submodular Functions under a Knapsack Constraint

, 2017
In this paper, we consider the problem of maximizing a monotone submodular function subject to a knapsack constraint in the streaming setting. In particular, the elements arrive sequentially and at any point of time, the algorithm has access only to a ...
Kakimura, Naonori, Huang, Chien-Chung, Yoshida, Yuichi   +2 more
core   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
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, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Oculus: faster sequence alignment by streaming read compression

BMC Bioinformatics, 2012
Background Despite significant advancement in alignment algorithms, the exponential growth of nucleotide sequencing throughput threatens to outpace bioinformatic analysis.
Veeneman Brendan A, Iyer Matthew K, Chinnaiyan Arul M   +2 more
doaj   +1 more source

Meta-theorems for Parameterized Streaming Algorithms

The streaming model was introduced to parameterized complexity independently by Fafianie and Kratsch[MFCS14] and by Chitnis, Cormode, Hajiaghayi and Monemizadeh [SODA15].
Lokshtanov, D., Saurabh, S., Misra, P., Panolan, F., Ramanujan, M.S., Zehavi, M.   +5 more
core   +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

Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis

Angewandte Chemie, EarlyView.
We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner, Klara Silber, Tobias A. Doliner, C. Oliver Kappe   +3 more
wiley   +2 more sources