Results 121 to 130 of about 79,305 (292)

Subway door fault prediction employing stacking ensemble learning

Scientific Reports
This study investigates the prediction of metro door failures, which are low-frequency events characterized by severe class imbalance, limited fault samples, and feature redundancy.
Hongkang Song, Shaohu Tang, Jinghui Xia, Liang Zhang, Hailin Kang, Pengyu Li   +5 more
doaj   +1 more source

QSAR, molecular docking, molecular dynamics and DFT-based design of novel Quinoline-2-yl (piperazin-1-yl) inhibitors of hepatitis C virus

NAM Journal
Liver cirrhosis and hepatocellular cancer are brought on by the hepatitis C virus (HCV). Since the virus's discovery, significant therapeutic advancements have been made.
Abubakar Sadiq Bello, A. Uzairu, G.A Shallangwa, A. ibrahim, Mujeeb Khan, M.T. Ibrahim   +5 more
doaj   +1 more source

Applying Grade Inflation Adjustment Mechanism in an Ethiopian University: Differences in Nominal and Real Grades

, 2020
-Grade inflation is a recognized problem in universities around the world. The factors underlying grade inflation are also discussed by studies.
Kelbago, R. A. (Roman), Wariyo, L. G. (Lemecha)   +1 more
core  

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Construction of an interpretable machine learning model for predicting gestational diabetes mellitus based on 45 dietary nutrients

BioData Mining
Objective This study aimed to develop and validate a machine learning (ML)-based model for predicting the risk of gestational diabetes mellitus (GDM) using 45 dietary nutrients and baseline data.
Zhihui Xiong, Yi Yuan, Zhouhui Yun, Lijie Li, Yunmeng Chen   +4 more
doaj   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Comparison of a Class of Rank-Score Tests in Two-Factor Designs

, 2013
Rank score functions are known to be versatile and powerful techniques in factorial designs. Researchers have established the theoretical properties of these methods based on nonparametric hypotheses, but only scanty empirical results are available in ...
Danbaba, A
core   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Monetary Policy Transparency:Lessons from Germany and the Eurozone [PDF]

The conduct of monetary policy emphasises institutional arrangements which make monetary policy decision-making more ‘transparent’. Judged by these institutional features neither the Bundesbank, nor the ECB, score very highly.
Peter Howells, Iris Biefang-Frisancho Mariscal   +1 more
core