Results 211 to 220 of about 28,316 (305)

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Optimal selection of a metro tunnel excavation method using AHP and TOPSIS: a case study of Tehran metro. [PDF]

Sci Rep
Rostami A, Chakeri H, Shahriar K, Mousapour H.   +3 more
europepmc   +1 more source

De‐Carbonizing the Transport Sector on the University Campus: A Techno‐Economic‐Environment Assessment and Optimization of PV Fed Electric Bicycles Amid Global Fuel Crisis

Energy Science &Engineering, EarlyView.
This study develops and evaluates a solar PV‐fed electric bicycle system optimized for university campuses in Pakistan. The techno‐economic analysis demonstrates significant fuel savings, emission reductions, and sustainability benefits, promoting a cost‐effective, eco‐friendly, and renewable transportation alternative amid rising global fuel and ...
Muhammad Abdullah Khan, Syed Ali Abbas Kazmi, Qamar uddin, Muhammad Umair Iftikhar, Muhammad Waseem   +4 more
wiley   +1 more source

Comparison of pre- and post-natal environmental exposures in United States versus Brazilian patients with juvenile dermatomyositis. [PDF]

Clin Exp Rheumatol
Arabi TMA, Farhat SCL, Valoes CC, Shenoi S, Kim S, Carneiro BOL, Rider LG, Elias AM.   +7 more
europepmc   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

Energy Science &Engineering, EarlyView.
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley   +1 more source

Mortality in a cohort of transport for London workers. [PDF]

Sci Rep
Mak J, Feary J, Amaral AFS, Marczylo E, Cullinan P, Green DC.   +5 more
europepmc   +1 more source

Recovery Factor of Pure Helium Injection in Depleted Gas Reservoirs and Its Influencing Factors

Energy Science &Engineering, EarlyView.
This study employs compositional numerical simulation to systematically investigate the effects of injection rate, production rate, storage duration, and injection‐production scheme on pure helium recovery in depleted gas reservoirs. Low injection rates reduce viscous fingering while high production rates maximize near‐wellbore helium extraction ...
Shijie Zhu, Danlin Chen, Yang Wang, Zuping Xiang, Zhijun Li, Mengna Yang, Da Li   +6 more
wiley   +1 more source

Retraction Note: Association of Victimization by Sex among Public Facing Bus and Subway Transit Workers, New York City. [PDF]

J Urban Health
Vlahov D, Hagen D, Cziner M, Merdjanoff A, Sherman MF, Gershon RR.   +5 more
europepmc   +1 more source

The Seepage Characteristics of Single Rough Joint of Granite Based on NMR Technology: A Modified Cubic Law

Energy Science &Engineering, EarlyView.
The low‐field nuclear magnetic resonance (NMR) measurements are applied to investigate the seepage characteristics of the single rough joint. The purpose of this paper is to investigate the seepage characteristics of granite specimens with single‐joint channel under the different roughness, confining pressures and seepage pressures.
Hao Cheng, Xiujie Zhong
wiley   +1 more source

Automatic construction of risk transmission network about subway construction based on deep learning models. [PDF]

Sci Rep
Liang Y, Xu N, Chang H, Qian S, Liu Y.
europepmc   +1 more source