Results 151 to 160 of about 6,385 (284)

Prediction of ultradeep pore water inflow in giant thick heterogeneous aquifers

地质科技通报
Objective The analytical solution model is computationally efficient and widely used to estimate aquifer surges. Analytical solution models are computationally efficient but involving many assumptions, such as that the aquifer is homogeneous, the amount of water pumped is constant, while the head loss in the well is ignored; these models are often ...
Di CHEN, Haitao YAN, Xiangyu QIAO, Quanrong WANG   +3 more
openaire   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +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

Comparison of scenario reduction approaches for reservoir inflow timeseries generated by a Bayesian Neural Network. [PDF]

PLoS One
Koo JH, Abraham E, Jonoski A, Solomatine DP.   +3 more
europepmc   +1 more source

MetZoom: A CNN/LSTM hybrid based model for water reservoir inflow prediction

, 2022
Hydropower reservoir volumes fluctuate as water levels increase or decrease according to precipitation, valve output and inflow through water retained in the surrounding area. Predicting these fluctuations with machine learning is possible through the use of an Artificial Neural Network (ANN) architecture proposed in this thesis.
openaire   +1 more source

Risk Transmission and Co‐Movements Between Financial Markets and Commodity Markets in the COVID‐19 Period

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho, H. Oliveira, M. Neves, J. Monteiro   +3 more
wiley   +1 more source

Investigation of an Ensemble Inflow-Prediction System for Upstream Reservoirs in Sai River, Japan

In this study, an ensemble inflow-prediction system was developed for a hydropower-generation dam in the upper Sai River basin, and the accuracy of ensemble inflow prediction, which is important for efficient dam operation, was investigated.
Mohamed Rasmy, Asif Naseer, Tomoki Ushiyama, Katsunori Tamakawa, Masaru Kitsuregawa, Toshio Koike, Shigeru Nakamura, Toshihiro Nemoto, Cho Thanda Nyunt, Keijiro Kubota, Eiji Ikoma   +10 more
core   +1 more source

Enviromics crosstalk between internal and external plant environments for enhanced adaptation and de novo domestication

iMeta, EarlyView.
Climate change demands accelerated plant adaptation and de novo domestication. Yet current enviromics focuses disproportionately on external environments, neglecting internal dynamics—gene expression, metabolic flux, and signal transduction—within predictive envirotyping frameworks.
Lin‐An Zhang, Xuan Dong, Kai Liu, Nicolas Gonzalez, Jose Manuel Estevez, Wen‐Xue Li, Xing Wang Deng, Feng Yu, Yunbi Xu   +8 more
wiley   +1 more source

Construction and validation of a predictive model of pathological complete response combined with MRI and tumor indicators for HER2-positive breast cancer after neoadjuvant targeted therapy. [PDF]

Oncol Lett
Zhu K, Li Z, Liao J, Wang C, Guo R, Tang Y, Zhou S, Ding Y, Chen D, Wang J, Nie J, Huang S.   +11 more
europepmc   +1 more source

Hydrogel‐based drug delivery systems for intracerebral hemorrhage with therapeutic advances and emerging roles of the bone–brain axis

Interdisciplinary Medicine, EarlyView.
Hydrogel‐based drug delivery systems offer a promising approach for treating intracerebral hemorrhage (ICH) by overcoming blood‐brain barrier limitations, enabling precise, sustained release of neuroprotective and anti‐inflammatory agents. These systems enhance treatment efficacy, but challenges remain in biosafety, drug penetration, and scalability ...
Haojun Shi, Min Chen, Yisheng Chen, MengYao Li, Jiale Ma, Zuozhen Yin, Li Wu, YangBao Miao, Zemin Ou, Ke Wu, Zhijie Xu, Lizhi Li, Shaocong Zhao, Shiwei He, Bin Huang, Guanwen He, Guanghui Wu, John H. Zhang, Liang Shi   +18 more
wiley   +1 more source