Results 91 to 100 of about 2,584 (186)

Interactive segmentation of membrane and membrane‐mimic densities in cryo‐EM maps

Acta Crystallographica Section D, Volume 82, Issue 8, Page 848-861, August 2026.
SURFER performs automated segmentation of contextual membrane and membrane‐mimic density in cryo‐EM maps to enable robust separation of macromolecular signal from surrounding detergent or lipid–membrane features. It is conveniently distributed as a plugin for UCSF ChimeraX, allowing interactive application within standard map‐visualization workflows ...
Alok Bharadwaj, Lotte Veerbeek, Arjen Jakobi   +2 more
wiley   +1 more source

Prediction of soil conditioner dosages for shield tunneling in sandy soil based on machine learning

Case Studies in Construction Materials
Inadequate soil conditioning during Earth Pressure Balance shield (EPBS) tunneling in sandy strata frequently causes operational issues. This study developed a data-driven framework integrating 15 operational and geological parameters from Shenyang Metro
Keqi Liu, Xueyi Liang, Wen Zhao, Xiumei Cao, Hezheng Pei   +4 more
doaj   +1 more source

Integrating Artificial Intelligence Into Drug Discovery From Medicinal Plants: Current Applications and Infrastructural Challenges

Chemical Biology &Drug Design, Volume 108, Issue 2, August 2026.
This review presents a systems‐oriented roadmap for integrating artificial intelligence into medicinal plant drug discovery to overcome persistent bottlenecks like extract complexity. It highlights that advancing toward reproducible therapeutics requires making phytochemical datasets AI‐ready via rigorous harmonization and phyto‐centric foundational ...
Amit Gangwal, Azim Ansari, Mohd Usman Mohd Siddique, Jyotiram Sawale, Suhas Padmane, Raju Wadekar   +5 more
wiley   +1 more source

Temporal Drivers of Opioid‐Related ED Visits: An Ensemble Machine Learning Study With Consensus‐Based Feature Attribution

Clinical and Translational Science, Volume 19, Issue 8, August 2026.
ABSTRACT Identification of modifiable risk factors for prescription opioid use disorder (OUD)‐related emergency department (ED) visits (ICD‐10 F11.xx) is a clinical priority; however, most published models remain cross‐sectional and lack pharmacogenomic (PGx) enrichment or dual‐method feature confirmation. Using Virginia All‐Payer Claims Database (APCD)
R. Jerome Dixon, Elvin T. Price
wiley   +1 more source

Temperature Prediction of Wet Clutch Friction Pair Based on Optuna-LSTM Neural Network

Applied Sciences
As critical actuating components in vehicular transmission systems, wet clutches exhibit strongly nonlinear thermal responses in their friction pairs during engagement operations.
Yuqi Yang, Chengyun Su, Zhifei Wang, Chao Zhou, Aolong Zhang   +4 more
doaj   +1 more source

A Serverless Pharmacogenomic Risk Dashboard: Translating Ensemble Models and Model‐Based Scenario Rules to Clinical Decision Support

Clinical and Translational Science, Volume 19, Issue 8, August 2026.
ABSTRACT The “last mile” problem in healthcare AI—translating high‐performance models into accessible, privacy‐preserving point‐of‐care tools—remains unsolved for pharmacogenomic (PGx) risk assessment. No existing platform integrates opioid and polypharmacy risk scoring, model‐based scenario analysis, and CPIC‐based PGx patient cards within a single ...
R. Jerome Dixon, Elvin T. Price
wiley   +1 more source

Application of FCEEMD-TSMFDE and adaptive CatBoost in fault diagnosis of complex variable condition bearings

Scientific Reports
The mode mixing problem and inherent mode function selection bias in Fast Ensemble Empirical Mode Decomposition (FEEMD) result in ineffective extraction of fault components during the denoising stage, the loss of coarse-grained information in Multiscale ...
Min Mao, Bingwei Xu, Yuhuan Sun, Kairong Tan, Yuran Wang, Chao Zhou, Chengjiang Zhou, Jingzong Yang   +7 more
doaj   +1 more source

A Deep Reinforcement Learning Methodology to Balance Geoprivacy and Local Search Utility in Location‐Based Services

Transactions in GIS, Volume 30, Issue 5, August 2026.
ABSTRACT The research work addresses the need to preserve the user's privacy in urban contexts without relying on pure contemporary approaches—like k‐anonymity or stochastic noise. We present a privacy preserving methodology that adapts to varying spatial contexts of users.
Omid Reza Abbasi, Franz Welscher, Johannes Scholz   +2 more
wiley   +1 more source

Optimizing Machine Learning Models for Urban Sciences: A Comparative Analysis of Hyperparameter Tuning Methods

Urban Science
Advancing urban scholarship and addressing pressing challenges such as gentrification, housing affordability, and urban sprawl require robust predictive models.
Tris Kee, Winky K.O. Ho
doaj   +1 more source

The Optuna–LightGBM–XGBoost Model: A Novel Approach for Estimating Carbon Emissions Based on the Electricity–Carbon Nexus

Applied Sciences
With the challenge posed by global warming, accurately estimating and managing carbon emissions becomes a key step for businesses, especially power generation companies, to reduce their environmental impact.
Yuanhang Cai, Jianxin Feng, Yanqing Wang, Yuanming Ding, Yue Hu, Hui Fang   +5 more
doaj   +1 more source