Design and investigation of charge plasma-based TMD heterojunction TFET biosensor for ultrasensitive detection by Monika Kumari, Niraj Kumar Singh, Vinay Kantipudi, Manodipan Sahoo

“…Non-equilibrium green’s function (NEGF)-based simulator and SILVACO TCAD, a 2-D device simulator have been utilized to simulate the electrical characteristics of the proposed biosensor. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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). …”
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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. …”
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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. …”
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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. …”
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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. …”
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Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…To address the challenges posed by big data or the restrictions of privacy, we propose a method utilizing Poisson subsampling to devise a new loss function. …”
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Stable antivortices in multiferroic ε-Fe2O3 with the coalescence of misaligned grains by Wuhong Xue, Tao Wang, Huali Yang, Huanhuan Zhang, Guohong Dai, Sheng Zhang, Ruilong Yang, Zhiyong Quan, Run-Wei Li, Jin Tang, Cheng Song, Xiaohong Xu

“…Furthermore, the unpredictability of the polarity of the core was utilized as a source of entropy for designing physically unclonable functions. …”
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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. …”
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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

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Pricing strategy of supply chain considering response time of extended warranty service by Xingjian Zhou, Yan Feng, Hongming Chen, Lihua Cai, Vladimir Bashkarev

“…Extended warranty services (EWS) offers avenues for new profit sources and growth opportunities. In a time-sensitive market, the response time has an important impact on the pricing of EWS and satisfying consumer utility. …”
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Transgenic poplar for resistance against pest and pathogen attack in forests: an overview by Swati Sharan, Amrita Chakraborty, Amit Roy, Indrakant K. Singh, Archana Singh, Archana Singh

“…These plants provide wood, which can be utilized as raw resources for the paper industry and as a potential source of biofuel. …”
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Dynamic Tuning and Multi-Task Learning-Based Model for Multimodal Sentiment Analysis by Yi Liang, Turdi Tohti, Wenpeng Hu, Bo Kong, Dongfang Han, Tianwei Yan, Askar Hamdulla

“…Multimodal sentiment analysis aims to uncover human affective states by integrating data from multiple sensory sources. However, previous studies have focused on optimizing model architecture, neglecting the impact of objective function settings on model performance. …”
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