Low pressure PEM electrolyzer system modeling with heat loss representation by Asmaa A. Ghany, Mohamed Mahmoud Samy

“…Low-pressure proton exchange membrane (PEM) electrolyzers are increasingly recognized for their effectiveness in hydrogen production, especially when combined with renewable energy sources. These systems function efficiently at reduced pressures, leading to lower cost of operation and improved safety. …”
Get full text

An Optimal Control of Energy Storage Systems Using Wind Power Prediction by Kenta Koiwa, Tomonori Tashiro, Tomoya Ishii, Tadanao Zanma, Kang-Zhi Liu

“…Wind power plants (WPPs) have been rapidly installed worldwide as an alternative source to thermal power plants. Nevertheless, since the outputs of WPPs constantly fluctuates due to variations in wind speed, WPPs expose power systems to power quality degradation, such as frequency fluctuation. …”
Get full text

Integration of Deep Learning Neural Networks and Feature-Extracted Approach for Estimating Future Regional Precipitation by Shiu-Shin Lin, Kai-Yang Zhu, He-Yang Huang

“…This study proposes a deep neural network (DNN) as a downscaling framework with nonlinear features extracted by kernel principal component analysis (KPCA). KPCA utilizes kernel functions to extract nonlinear features from the source climatic data, reducing dimensionality and denoising. …”
Get full text

A comprehensive review of tree cover mapping using satellite sensor data by Md. Shamim Reza Saimun, M. Mahmudur Rahman

“…Abstract Trees serve manifold ecosystem functions including climate change mitigation, biodiversity conservation, landscape restoration etc. yet are facing threats globally due to human intervention. …”
Get full text

Advances in Stem Cell Therapy for Huntington’s Disease: A Comprehensive Literature Review by Siddharth Shah, Hadeel M. Mansour, Brandon Lucke-Wold

“…Recent research indicates that NSCs have been the most often utilized stem cell type for treating HD. NSCs have been generated and extracted from a variety of sources, including HD patients’ somatic cells and the brain itself. …”
Get full text

Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…The EM problem tackled involves optimizing the scheduling of multiple energy sources, including diesel generators, PV units, and batteries, within a smart building context. …”
Get full text

A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

“…We created a specialized dataset of 20,000 images by combining five public datasets, applying a class fusion process to ensure consistent class definitions across diverse data sources. Our methodology addresses challenges such as underwater variation and class imbalance through tailored data augmentation, multi-scale feature analysis, temporal modeling, and weighted loss functions. …”
Get full text

Eco‐Friendly Biomass‐Based Carbon Dots, Carbon Nanotubes, Graphene, and Their Derivatives for Enhanced Oil Recovery: A New Horizon for Petroleum Industry by Ruhul Amin Foisal, Prof. Dr. Abu Bin Imran, Prof. Dr. Al‐Nakib Chowdhury

“…Abstract Oil extraction from reservoirs has never been easy, particularly when easily accessible oil sources run out. Enhanced oil recovery (EOR) is a dynamic area of petroleum engineering that seeks to maximize the quantity of crude oil that can be retrieved from an oil field. …”
Get full text

Quasi-weekly oscillation of regional PM_2.5 transport over China driven by the synoptic-scale disturbance of the East Asian winter monsoon circulation by Y. Bai, T. Zhao, K. Meng, Y. Zhou, J. Xiong, X. Sun, L. Shen, Y. Yue, Y. Zhu, W. Hu, J. Yao

“…By constructing the data of daily PM<span class="inline-formula">_2.5</span> transport flux in CEC in the winters of 2015–2019, we utilize the extended empirical orthogonal function (EEOF) decomposition and other statistical methods to extract the moving spatial distribution of regional PM<span class="inline-formula">_2.5</span> transport over CEC, recognizing the QWO in regional PM<span class="inline-formula">_2.5</span> transport with the spatial–temporal variations over CEC. …”
Get full text

Day-Ahead Net Load Forecasting for Renewable Integrated Buildings Using XGBoost by Spencer Kerkau, Saeed Sepasi, Harun Or Rashid Howlader, Leon Roose

“…With the large-scale adoption of photovoltaic (PV) systems as a renewable energy source, accurate long-term forecasting benefits both utilities and customers. …”
Get full text

Adaptation mechanisms of Alcanivorax facilitating its predominance in marine environments by Zhen Chen, Zhen Chen, Zhen Chen, Shizheng Xiang, Shizheng Xiang, Shizheng Xiang, Yao Lu, Yao Lu, Yao Lu, Qiliang Lai, Qiliang Lai, Qiliang Lai, Chunming Dong, Chunming Dong, Chunming Dong, Jianyang Li, Jianyang Li, Jianyang Li, Guizhen Li, Guizhen Li, Guizhen Li, Zongze Shao, Zongze Shao, Zongze Shao

“…However, Alcanivorax bacteria perform sulfide detoxification through Sqr rather than by gaining energy via sulfide oxidation Although no strain was confirmed to be chemoautotrophs, we discovered that the two clades, A. xenomutans and A. profundimaris, can grow under conditions with very low organic matter.DiscussionThe ability to utilize inorganic compounds as a supplementary energy source and adapt to carbon oligotrophic growth may contribute to the prevalence of Alcanivorax in marine ecosystems.…”
Get full text

RABP: Delay/disruption tolerant network routing and buffer management algorithm based on weight by Hezhe Wang, Guangsheng Feng, Huiqiang Wang, Hongwu Lv, Renjie Zhou

“…This algorithm estimates the message delay and hop count to the destination node in order to construct a weight function of the delay and hop count. A node with the least weight value will be selected as the relay node, and the algorithm implements buffer management based on the weight of the message carried by the node, for efficiently utilizing the limited network resources. …”
Get full text

The Influence of the working fluid and Regenerator material on the Performance of the types Gamma Stirling Engine by yahya abbas, Ali A. F. Al-Hamadani

“…The engine's most notable features are minimal noise, vibration, and pollution, as well as its capacity to function with any external heat source, including biomass, solar energy, and industrial waste. …”
Get full text

Research on control strategy for energy management of hydrogen-electric hybrid vehicles in urban rail transit applications based on fuzzy control by LI Hongwei, CHEN Limei, GAO Yang, WANG Jian, SHI Lei, XIANG Weiran

“…The hydrogen-electric hybrid has emerged as the most promising power source for the transformation and upgrading of rail transit owing to its high efficiency and zero carbon emission. …”
Get full text

The disinfectant effects of portable ultraviolet light devices and their application to dentures by Kae Harada, Reiya Horinouchi, Mamoru Murakami, Masakazu Isii, Yuji Kamashita, Naohiro Shimotahira, Fumio Suehiro, Yasuhiro Nishi, Hiroshi Murata, Masahiro Nishimura

Get full text

Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…To address the challenges of handling the dynamic load variations caused by the unpredictable nature and energy asymmetry of renewable energy sources in isolated microgrids, this study introduces a novel approach known as Learning-Enhanced Load Frequency Control (LE-LFC). …”
Get full text

NSGA-II-based load resource management for frequency and voltage support by Yaxin Wang, Zhihang Zhu, Zhihong Yu, Zigan Wang

“…The LRM method supports primary frequency and voltage regulation, and its integration with network dynamics minimizes the established disutility function caused by load participation. For better control performance, a non-dominated sorting genetic algorithm-II (NSGA-II)-based gain-tuning procedure was utilized for LRM, aiming to enhance the frequency/voltage nadir, reduce the frequency/voltage steady-state error, and minimize the total load control efforts. …”
Get full text

THE ROLE OF POSITIONAL ENVIRONMENTAL CUES IN MOVEMENT REGULATION OF YURCHENKO VAULTS IN GYMNASTICS by Thomas Heinen, Anja Brinker, Melanie Mack, Linda Hennig

“…Knowledge about relationships between informational sources in the environment and the resulting motor behaviour in gymnasts may help coaches to develop training programs aiming to enhance gymnasts’ ability to utilize this information in skill performance under changing environmental conditions in training and competition. …”
Get full text

A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future... by Shakila Shafiq, Md. Sazzadur Rahman, Shamim Ahmed Shaon, Imtiaz Mahmud, A. S. M. Sanwar Hosen

“…It delineates not only the function of blockchain (BC) technology in securing and managing IoT networks but also how SDN can be utilized to incorporate BC-based solutions. …”
Get full text

The positive influence of Tibetan Buddhist monasteries on forest conservation by Shidong Zhang, Tong Wu, Luo Guo

“…This study examines the vital role that Tibetan Buddhist monasteries play in forest conservation on the QTP. We utilize data sources including extensive field surveys and geospatial data to assess the impact of monastery and village locations on forest conditions. …”
Get full text