A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

“…Parkinson’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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Unified Power Flow Controller for PV Systems Using AI-Driven Power Quality Improvement Using Coupled Inductor Dual Boost Converter by Chindam A., IlanjiAkilandam C., DugyalaV.

“…The main objective of this research is to improve the power quality (PQ) in power system utilizing Renewable Energy Sources (RESs), notably by eliminating the harmonic content in voltage and current that arise from power electronics interfaces. …”
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Ismāʿīlī - Fāṭimid Legal Education and Judicial Activities in Egypt by Ferda Demir

“…During the literature review conducted, Ismāʿīlī sources were utilized, benefiting from both primary and secondary sour-ces. …”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…In addition, a pre-trained discriminator is employed in the model training process to compare reconstructed stylized <inline-formula><tex-math id="M33-1">$ {\boldsymbol{z}}_{\mathrm{b}}^{\mathrm{*}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.png"/></alternatives></inline-formula> with its original content source <inline-formula><tex-math id="M34-1">$ {\boldsymbol{z}}_{\mathrm{a}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.png"/></alternatives></inline-formula> The results are utilized to optimize the decoder. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Utilizing advanced information technologies such as big data and artificial intelligence (AI), China has established and implemented the Intelligent Infectious Disease Active Surveillance and Early Warning System. …”
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Development of time to event prediction models using federated learning by Rasmus Rask Kragh Jørgensen, Jonas Faartoft Jensen, Tarec El-Galaly, Martin Bøgsted, Rasmus Froberg Brøndum, Mikkel Runason Simonsen, Lasse Hjort Jakobsen

“…Abstract Background In a wide range of diseases, it is necessary to utilize multiple data sources to obtain enough data for model training. …”
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How Massive Star Clusters Form and Evolve: A Near-IR Survey of the W51 Complex by Aden Dawson, Adam Ginsburg, Carlos G. Román-Zúñiga

“…Our observations reveal over 3000 new sources, out of which 88 are located in the protoclusters, W51 IRS2 and W51 Main. …”
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Promoting data-driven decision-making in Jordan: strengthening national health information system and achieving consensus on core set of health system indicators by Fadi El-Jardali, Racha Fadlallah, Raeda Abu AlRub, Diana Jamal, Najla Daher

“…Abstract Background A well-functioning health information system (HIS) is foundational for strong health systems and the achievement of the Sustainable Development Goals. …”
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Genomic and transcriptomic insights into vertebrate host-specific Lactobacillus johnsonii adaptation in the gastrointestinal tract by Keerthikka Ravi, Nicole R. Falkowski, Gary B. Huffnagle

“…ABSTRACT We conducted a comparative genomic analysis of Lactobacillus johnsonii strains isolated from the gastrointestinal tract of diverse vertebrate hosts to explore the genetic basis of host specificity. We then utilized transcriptomics analysis to investigate the expression profile of identified rodent-specific genes in mouse isolate MR1 during in vitro and in vivo growth conditions. …”
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GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling by Jianyuan Liang, Shuyang Hou, Haoyue Jiao, Yaxian Qing, Anqi Zhao, Zhangxiao Shen, Longgang Xiang, Huayi Wu

“…Geospatial modeling aims to integrate multiple geospatial data sources and geoprocessing functions based on user application demands to address complex geospatial challenges. …”
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Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…We utilized multiepoch archival data from the Wide-field Infrared Survey Explorer to compare the variability at 3.4 μ m (W1 band) and 4.6 μ m (W2 band) of broad-line Seyfert 1 (BLSy1) galaxies and narrow-line Seyfert 1 (NLSy1) galaxies by employing the ensemble structure function (SF). …”
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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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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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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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Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption by Mahyar Abasi, Javad Ebrahimi, Shirin Besati

“…The YALMIP toolbox in MATLAB software was utilized to model and solve the objective function of this problem, which is expressed in both deterministic and nondeterministic versions. …”
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CHINESE YUAN EXCHANGE RATE AGAINST THE INDONESIAN RUPIAH PREDICTION USING SUPPORT VECTOR REGRESSION by Steven Soewignjo, Ni Wayan Widya Septia Sari, Andini Putri Mediani, M. Aqil Zaidan Kamil, Dita Amelia, Nur Chamidah

“…This study aims to forecast the exchange rate between the Chinese Yuan (CNY) and the Indonesian Rupiah (IDR) using Support Vector Regression (SVR), a machine-learning technique that can handle nonlinear and complex data. The authors utilize the monthly selling exchange rate of CNY against IDR from January 2012 to October 2023 sourced from the “investing” platform. …”
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