Results 131 to 140 of about 72,345 (262)

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

open access: yesAnimal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang   +3 more
wiley   +1 more source

Method of dynamic trust assessment in Zero Trust Architecture based on explainable artificial intelligence

open access: yesÌнформаційні технології та компʼютерна інженерія
The transformation of contemporary corporate IT infrastructures has rendered conventional cybersecurity models ineffective, prompting a shift to the Zero Trust Architecture (ZTA); however, its practical implementation is complicated by a rigid reliance ...
A. Palamarchuk
doaj   +1 more source

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multiomic Analysis: Insights Into Cardiovascular and Renal Complications

open access: yesArthritis &Rheumatology, EarlyView.
Objective Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó   +84 more
wiley   +1 more source

Using XGBoost for Predicting In-Stent Restenosis Post-DES Implantation: Role of Lymphocyte-to-Monocyte Ratio and Residual Cholesterol

open access: yes
Ling Hou,1,* Ke Su,2,* Ting He,1 Jinbo Zhao,2 Yuanhong Li2 1Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, People’s Republic of China; 2Cardiovascular Disease Center, Central ...
Hou L, Li Y, He T, Su K, Zhao J
core  

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

open access: yesArthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis   +22 more
wiley   +1 more source

E‑mail: 849438179@qq.com

open access: yesZhendong Ceshi yu Zhenduan
针对声音信号分析在诊断带式输送机托辊故障中的高维特征存在信息冗余、计算量大和诊断效果不理想等问题,笔者构建了声音信号特征精简策略,基于Circle混沌映射、Levy飞行策略和正弦因子改进了霜冰优化算法(rime optimization algorithm,简称RIME),记作CLSRIME。再结合极致梯度提升模型(extreme gradient boosting,简称XGBOOST),构建了CLSRIME‑XGBOOST带式输送机托辊轴承故障诊断方法。首先,利用梅尔倒谱系数(Mel⁃scale ...
doaj   +1 more source

Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems

open access: yesArthritis &Rheumatology, EarlyView.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng   +34 more
wiley   +1 more source

Production prediction based on ASGA-XGBoost in shale gas reservoir

open access: yes
The advancement of horizontal drilling and hydraulic fracturing technologies has led to an increased significance of shale gas as a vital energy source.
Qiquan Ran, Xin Zhou
core   +1 more source

Potential contribution of biomass gasification‐based technology in energy transition: a technical review coupled with bibliometric studies

open access: yesBiofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye   +5 more
wiley   +1 more source

Applying machine learning to pharmacovigilance data: A proof‐of‐concept study

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aim Machine learning (ML) applications in pharmacovigilance remain limited and underexplored. Using data from the French National pharmacovigilance database (FNPV), this proof‐of‐concept study aimed to assess the feasibility of using a ML algorithm—eXtreme Gradient Boosting (XGBoost)—combined with SHapley Additive exPlanations (SHAP) analysis, to ...
Romain Barus   +6 more
wiley   +1 more source

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