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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Lack of Amino Acid Alterations Within the Cochlear Nucleus and the Auditory Cortex in Acoustic Trauma-Induced Tinnitus Rats Using In Vivo Microdialysis by Shanshan Yuan, Huey Tieng Tan, Paul F. Smith, Yiwen Zheng

“…<b>Background/Objectives:</b> Tinnitus is a debilitating auditory disorder commonly described as a ringing in the ears in the absence of an external sound source. Sound trauma is considered a primary cause. …”
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Analysis of national health accounts in Iran (2002–2020) by Abdoreza Mousavi, Mahdi Mokhtari-Payam, Aliakbar Fazaeli, Mohammad Bakhtiari Aliabad

“…Methods: This descriptive study utilizes data from Iran’s national health accounts to examine health expenditures across various dimensions, including health functions, healthcare service providers, financing agents, and funding sources, covering the period from 2002 to 2020. …”
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A Methodological and Structural Review of Parkinson&#x2019;s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…Parkinson&#x2019;s Disease (PD) is a progressive neurological disorder that primarily affects motor functions and can lead to mild cognitive impairment (MCI) and dementia in its advanced stages. …”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. …”
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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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Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling by K. A. Muller, P. Jiang, G. Hammond, T. Ahmadullah, H.-S. Song, R. Kukkadapu, N. Ward, M. Bowe, R. K. Chu, Q. Zhao, V. A. Garayburu-Caruso, A. Roebuck, X. Chen

“…Two test cases are provided to demonstrate the functionality of the Lambda-PFLOTRAN workflow. The first test case uses laboratory incubation data of temporal oxygen depletion to fit lambda parameters (i.e., maximum utilization rate and microbial carrying capacity). …”
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From Development to Regeneration: Insights into Flight Muscle Adaptations from Bat Muscle Cell Lines by Fengyan Deng, Valentina Peña, Pedro Morales-Sosa, Andrea Bernal-Rivera, Bowen Yang, Shengping Huang, Sonia Ghosh, Maria Katt, Luciana Andrea Castellano, Lucinda Maddera, Zulin Yu, Nicolas Rohner, Chongbei Zhao, Jasmin Camacho

“…These cells exhibit frequent spontaneous contractions, suggesting robust functional integrity at the neuromuscular junction. …”
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Dietary Black Soldier Fly Larvae Meal and Its Impact on the Growth Performance and Gut Health of Broilers Under an Intestinal Challenge by Yuri Katagiri Dalmoro, Guilherme Librelotto de Godoy, Jessica Cristina Agilar, Glauco Anderson Raddatz, Fernanda de Candido de Oliveira, Natieli Witt, Catarina Stefanello

“…Background/Objectives: The use of black soldier fly (BSF) larvae meal in poultry nutrition is gaining attention as a sustainable protein source with a high nutritional value, an efficient bioconversion of organic waste, and potential functional benefits for intestinal health. …”
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Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network by Pinank Patel, Nagaraj Patil, Ahmed Mohsen, Aditya Kashyap, Nofal Adrees Hasan, Karthikeyan A, Dhirendra Nath Thatoi, Deepak Gupta, Alireza kamranfar

“…Various technologies, such as photovoltaic cells, wind turbines, combustion engines, and fuel cells, can be utilized as DG sources, depending on geographic suitability. …”
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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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Prediction of Alzheimer’s Disease Based on Multi-Modal Domain Adaptation by Binbin Fu, Changsong Shen, Shuzu Liao, Fangxiang Wu, Bo Liao

“…<b>Background/Objectives:</b> Structural magnetic resonance imaging (MRI) and 18-fluoro-deoxy-glucose positron emission tomography (PET) reveal the structural and functional information of the brain from different dimensions, demonstrating considerable clinical and practical value in the computer-aided diagnosis of Alzheimer’s disease (AD). …”
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Green synthesis of silver nanoparticles using cocoon extract of Bombyx mori L.: therapeutic potential in antibacterial, antioxidant, anti-inflammatory, and anti-tumor applications by Ahmed H. Elsaffany, Ahmed E. M. Abdelaziz, Abdullah A. Zahra, Alsayed E. Mekky

“…In the present study, a new method for the biosynthesis of silver nanoparticles (AgNPs) was explored by applying Bombyx mori cocoon extract as a sustainable and eco-friendly biological source. Unlike previous studies that primarily utilized plant or microbial extracts, this approach offers a more efficient alternative due to the unique protein and polyphenol content of silk cocoons, which enhances the stability and biological properties of the biosynthesized nanoparticles. …”
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Evaluation Methods for the Human–Land Coupling Coordination Relationship in a Metro Station Area: A Case Study of Chengdu Metro Line 1 by Zhiyue Qiu, Shirui Wen, Hong Yuan, Ziyi Liu, Yao Wei, Siqi Yanling, Runlong Dai, Xiang Li, Yuxin Gu

“…Under the agglomeration effect of traffic nodes, rapid population agglomeration and land development and utilization have formed around metro stations in cities. …”
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SpaIM: single-cell spatial transcriptomics imputation via style transfer by Bo Li, Ziyang Tang, Aishwarya Budhkar, Xiang Liu, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

“…Furthermore, SpaIM enhances downstream analyses, including ligand-receptor interaction inference, spatial domain characterization, and differential gene expression analysis. Released as open-source software, SpaIM expands accessibility and utility in ST research. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…To enhance performance, we implemented an ensemble learning strategy that incorporated a reparameterized Gompertz function, which assigned fuzzy ranks based on each model’s prediction confidence for each test case. …”
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Laplace transformation technique for free convective time-dependent MHD flow over a vertical porous flat plate with heat sink and chemical reaction: An analytical approach by T. Pradhan, S. Jena, S.R. Mishra

“…The speciality of the problem is the plate condition which is time-dependent which uses Heaviside function. Depending upon the suitable conditions the results of the profiles are presented considering the values of the values of the corresponding factors involved and the physical behavior of each of the factors are elaborated briefly. …”
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