Results 131 to 140 of about 136,861 (303)

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Using unsupervised machine learning for fault identification in virtual machines

, 2015
Self-healing systems promise operating cost reductions in large-scale computing environments through the automated detection of, and recovery from, faults. However, at present there appears to be little known empirical evidence comparing the different
Schneider, Christopher
core  

Congested scene classification via efficient unsupervised feature learning and density estimation

, 2016
An unsupervised learning algorithm with density information considered is proposed for congested scene classification. Though many works have been proposed to address general scene classification during the past years, congested scene classification is ...
Yuan, Yuan, Wang, Qi, Wan, Jia
core   +1 more source

A Qualitative Study of Senior Residents’ Strategies to Prepare for Unsupervised Practice

Western Journal of Emergency Medicine
Introduction: As emergency medicine (EM) residents prepare for the transition into unsupervised practice, their focus shifts from demonstrating competencies within familiar training environments to anticipating their new roles and responsibilities as ...
Max Griffith, Alexander Garrett, Bjorn K. Watsjold, Joshua Jauregui, Mallory Davis, Jonathan S. Ilgen   +5 more
doaj   +1 more source

Microplastics‐Induced Gut Microbiota Dysbiosis Accelerates Alzheimer's‐Like Pathology and Cognitive Decline via the Gut–Brain Axis

Advanced Science, EarlyView.
Microplastics (MPs) breach the gut‐brain axis by triggering taurine‐depleting microbiota dysbiosis that accelerates Alzheimer‐like pathology in 5XFAD mice. Taurine supplementation normalizes autophagy, microglial quiescence, and cognition, and plasma taurine inversely tracks cognitive decline in ADNI participants, revealing a readily translatable ...
Zifeng Wu, Jiarong Yang, Miaoxuan Zhang, Yi Li, Zhuling Tu, Ji Wang, Jin‐Tai Yu, Kun Guo, Rongcan Luo   +8 more
wiley   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Integrating pathomics and deep learning for subtyping uveal melanoma: identifying high-risk immune infiltration profiles

Frontiers in Immunology
PurposeUveal melanoma (UVM) is the most common primary intraocular malignancy in adults, characterized by high mortality despite its relatively low incidence.
Qi Wan, Ran Wei, Hongbo Yin, Jing Tang, Ying-ping Deng, Ke Ma   +5 more
doaj   +1 more source

An Integrative Strategy Delineates Modular Metabolic Remodeling and Potential Therapeutic Targets Across Metabolic Diseases

Advanced Science, EarlyView.
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang, Congxue Hu, Hang Zhao, Xiao Peng, Yiming Yan, Jiasi Wang, Wenqi Jiang, Depeng Mu, Yan Cao, Xia Li, Yunpeng Zhang   +10 more
wiley   +1 more source

Minimally-Supervised Morphological Segmentation using Adaptor Grammars

, 2013
This paper explores the use of Adaptor Grammars, a nonparametric Bayesian modelling framework, for minimally supervised morphological segmentation. We compare three training methods: unsupervised training, semi-supervised training, and a novel model ...
Sirts, Kairit, Goldwater, Sharon; id_orcid   +1 more
core  

Unsupervised Intralingual and Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis Using Two-Pass Decision Tree Construction

, 2010
Hidden Markov model (HMM)-based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not present in the training dataset ...

core   +1 more source