Results 91 to 100 of about 27,291 (261)

An infeasible interior-point arc-search method with Nesterov's restarting strategy for linear programming problems [PDF]

, 2023
Einosuke Iida, Makoto Yamashita
openalex   +1 more source

Carbon emission assessment of tunnel infrastructures: From construction to operation

Deep Underground Science and Engineering, EarlyView.
This study develops a lifecycle carbon accounting framework for tunnel infrastructures, covering design, construction, operation, maintenance, and dismantling. Applied to a subsea tunnel case, the framework reveals the carbon emission distribution among four typical tunnel types and highlights potential carbon offset methods for low‐carbon tunnel ...
Luyuan Long, Wout Broere, Xuehui Zhang, Tian Xia, Richard de Nijs   +4 more
wiley   +1 more source

Implementation of Infeasible Kernel-Based Interior-Point Methods for Linearly Constrained Convex Optimization [PDF]

, 2015
Lin Wu, K. Li, Xing-Dou Wang, Lizhen Shao, Anfei Zhao   +4 more
openalex   +1 more source

Enabling a Circular Water Transition: Identifying Governance Pathways for Wastewater Reuse

Environmental Policy and Governance, EarlyView.
ABSTRACT Over 80% of the world's wastewater is discharged untreated, making reuse a widely underutilised strategy for addressing water scarcity. Due to the complexity of implementing water reuse systems, supportive governance conditions are required to steer this process and overcome barriers.
Kirsty Holstead, Katrin Pakizer, Nicolas W. Jager, Eva Lieberherr, Manuel Fischer   +4 more
wiley   +1 more source

An inexact infeasible arc-search interior-point method for linear optimization problems [PDF]

Einosuke Iida, Makoto Yamashita
openalex   +3 more sources

Sidelining Mitigation: Climate Delay Discourses Among Municipal Legislators in Southeastern Brazil

Environmental Policy and Governance, EarlyView.
ABSTRACT This study investigates how municipal legislators frame climate mitigation and how these framings shift responsibility, narrow the perceived scope of municipal authority, and reduce the urgency or feasibility of local action. We analyzed 31 interviews with city councilors serving on Permanent Environmental Committees across municipalities in ...
Tainá Yumi Patriani
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Effect of Hydrotreating Severity on Jet Fuel Thermal Oxidation Stability of Olefinic Synthetic Kerosene

Energy Science &Engineering, EarlyView.
The extent of hydrotreating that is required for olefinic kerosene to pass the jet fuel thermal oxidative stability test was investigated. Fouling species are destroyed after mild hydrotreating, and no further benefit is derived from more severe hydrotreating.
Cibele Melo Halmenschlager, Laine Badaro Pereira, Arno de Klerk   +2 more
wiley   +1 more source

Magnetocardiography combined with machine learning for pulmonary hypertension detection and improved short‐term risk assessment

Interdisciplinary Medicine, EarlyView.
Magnetocardiography (MCG) enables non‐invasive mapping of cardiac magnetic fields. In this study, an MCG‐based machine learning model detects pulmonary hypertension with robust performance. Furthermore, MCG features may improve the accuracy of short‐term risk assessment.
Yuankun Qi, Jiaqi Liang, Kai Ma, Xiaoyu Hu, Yu Zhang, Xiaole Han, Dong Xu, Xu Zhang, Xiaopei Cui, Min Xiang, Hongyu Zhang, Jiancheng Fang   +11 more
wiley   +1 more source

Robust Tests of Forecast Accuracy for Factor‐Augmented Regressions With an Application to the Novel EA‐MD‐QD Dataset

Journal of Applied Econometrics, EarlyView.
ABSTRACT We present four novel tests of equal predictive accuracy and encompassing á Pitarakis (2023, 2025) for factor‐augmented regressions. Factors are estimated using cross‐section averages (CAs) of grouped series and our theoretical findings are empirically relevant: asymptotic normality, robustness to an overspecification of the number of factors,
Alessandro Morico, Ovidijus Stauskas
wiley   +1 more source