Rainfall Forecasting Using a BiLSTM Model Optimized by an Improved Whale Migration Algorithm and Variational Mode Decomposition by Yueqiao Yang, Shichuang Li, Ting Zhou, Liang Zhao, Xiao Shi, Boni Du

“…To enhance the prediction performance of non-stationary rainfall time series, this study proposes a hybrid deep learning forecasting framework—VMD-IWMA-BiLSTM—that integrates Variational Mode Decomposition (VMD), Improved Whale Migration Algorithm (IWMA), and Bidirectional Long Short-Term Memory network (BiLSTM). Firstly, VMD is employed to decompose the original rainfall series into multiple modes, extracting Intrinsic Mode Functions (IMFs) with more stable frequency characteristics. …”
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Contemporary Practices of Intelligence Support for Competitiveness by Nisha Sewdass, Jonathan Calof

“…The study relies upon a survey of CI practitioners conducted in 2019 and a comparison of its results with a similar survey in 2006. …”
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Optimal control of manipulator with joint clearance compensation via generalized policy learning by Wenting Liu, Qingliang Zeng, Zhiwen Wang, Jun Zhao, Lin Kong

“…Unlike traditional approaches, this method discards the use of behavioral neural networks (ANNs), thereby reducing computational complexity. …”
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Regional and aging-specific cellular architecture of non-human primate brains by Yun-Mei Wang, Wen-Chao Wang, Yongzhang Pan, Lin Zeng, Jing Wu, Zheng-Bo Wang, Xiao-Lin Zhuang, Ming-Li Li, David N. Cooper, Sheng Wang, Yong Shao, Li-Min Wang, Ying-Yin Fan, Yonghan He, Xin-Tian Hu, Dong-Dong Wu

“…Abstract Background Deciphering the functionality and dynamics of brain networks across different regions and age groups in non-human primates (NHPs) is crucial for understanding the evolution of human cognition as well as the processes underlying brain pathogenesis. …”
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Future Smart Grids Control and Optimization: A Reinforcement Learning Tool for Optimal Operation Planning by Federico Rossi, Giancarlo Storti Gajani, Samuele Grillo, Giambattista Gruosso

“…AI methods offer powerful tools for planning electrical systems, including electrical distribution networks. This study presents a methodology based on reinforcement learning (RL) for evaluating optimal power flow with respect to various cost functions. …”
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Autonomous decision-making method of unmanned ship based on improved DDPG algorithm by Wei GUAN, Shuhui HAO, Zhewen CUI, Miaomiao WANG

“…Methods In order to address the issues of low data utilization and poor convergence in traditional DDPG algorithms, we employ Priority Experience Replay (PER) to dynamically adjust experience priority, reduce sample correlation, and utilize the Long Short-Term Memory (LSTM) network to improve the algorithm convergence. Based on the domain knowledge of ships and adhering to the International Regulations for Preventing Collisions at Sea (COLREGs), a model for determining meeting situations and a novel set of reward functions that consider urgent scenarios when other ships fail to comply with the COLREGs are introduced. …”
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Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors by Yun Ji, Lin Wang, Yinfeng Long, Jinyong Wang, Haofei Zheng, Zhi Gen Yu, Yong-Wei Zhang, Kah-Wee Ang

“…However, integrating diverse functionalities with ultralow energy consumption in a single device remains challenging. …”
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Design and implementation of civil aircraft test database for multi-discipline integration by LI Xinyang, FENG Yunwen, LI Jian, LU Cheng, XIE Yajun, YANG Li

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A Qualitative Exploration of the Economic and Social Effects of Microcredit among People Living with HIV/AIDS in Uganda by Glenn Wagner, Yashodhara Rana, Sebastian Linnemayr, James Balya, Lydia Buzaalirwa

“…We conducted semistructured interviews with 30 adults receiving ART and microcredit loans operated by Uganda Cares. …”
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Global trends in migraine and anxiety over the past 10 years: a bibliometric analysis by Biao Huang, Weining Chen, Chunmei Peng, Yu Wang, Xiuli Shen, Qi Zhang, Liu Yang, Jun Wu

“…This study focused on the association between migraine and anxiety, aiming to predict potential future research trends.MethodsA bibliometric analysis was conducted using publications from the Core Collection of Web of Science. …”
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Development of a Multi-Channel Wireless Deep Brain Stimulation and Signal Acquisition System for Neurostimulation and Biomarker Monitoring by Chang-Lin Hu, Guan-Yi Lu, Pei-Ling Kang, Chien-Ju Li, Ming-Jhe Lin, Guan-Lun Li, Fang-Yi Su

“…The MitoPark transgenic mouse model was used to evaluate the effects of subthalamic nucleus (STN)-DBS on motor and cognitive functions in Parkinson’s disease. Behavioral assessments, including the Narrow Beam Walking Test, Open Field Task, and Novel Object Recognition Test, were conducted. …”
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Capacity assessment of the Gambia’s emergency preparedness and response system by Sana Sambou, Delia Akosua Bandoh, Ernest Kenu, Johnson Ermel, Kofi Mensah Nyarko, Virgil Kuassi Lokossou

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Protocol for EHS Rapid Guideline: Systematic Review, Meta-Analysis, GRADE Assessment, and European Recommendations on Parastomal Hernia Prevention by Stavros A. Antoniou, Stavros A. Antoniou, Cesare Stabilini, Ourania Koutsiouroumpa, Dimitrios Mavridis, Dimitrios Mavridis, Filip Muysoms

“…Conflicts of interest, if any, will be addressed by re-assigning functions or replacing participants with direct conflicts, according to Guidelines International Network recommendations.…”
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Communities of Arbuscular Mycorrhizal Fungi and Their Effects on Plant Biomass Allocation Patterns in Degraded Karst Grasslands of Southwest China by Wangjun Li, Xiaolong Bai, Dongpeng Lv, Yurong Yang

“…The biomass allocation patterns between aboveground and belowground are an essential functional trait for plant survival under a changing environment. …”
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Epidemiological analysis of Acute Respiratory Infections in children and adults treated in the emergency rooms of the main hospitals of Maputo city - Mozambique, 2019-2020 by Fabião Maússe, Samuel Nuvunga, Auria Banze, Judite Braga, Liliana Balói, Cynthia Baltazar, Erika Rossetto

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A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma by Qiao Li, Peng Feng, Shangyu Liu, Goupeng Tian, Guoqiang Yuan, Yawen Pan

“…Abstract Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream gene expression and modulating cellular processes. In this study, we conducted a comprehensive analysis of TF gene sets to define the molecular subtypes of gliomas. …”
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Integrative analysis of mitochondrial and immune pathways in diabetic kidney disease: identification of AASS and CASP3 as key predictors and therapeutic targets by Xinxin Yu, Yongzheng Hu, Wei Jiang

“…This study aimed to identify key molecular networks linking mitochondrial and immune pathways to DKD progression, with a focus on uncovering biomarkers and therapeutic targets.Methods We conducted an integrative analysis of human DKD cohorts (GSE30122, GSE96804) using weighted gene co-expression network analysis (WGCNA) to identify gene modules enriched for immune response genes and mitochondrial pathways (from MitoCarta3.0). …”
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The Playground - the future of platform capitalism by Eduardo Féteira, Raquel Gomes, Mafalda Rodrigues, Matilde Fernandes

“…The appeal of this platform is its exclusivity, the closeness and networking opportunities it provides to people of similar or higher social status and its social currency. …”
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Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives by Marco Cascella, Daniela Schiavo, Arturo Cuomo, Alessandro Ottaiano, Francesco Perri, Renato Patrone, Sara Migliarelli, Elena Giovanna Bignami, Alessandro Vittori, Francesco Cutugno

“…More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. …”
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NUF2 Is a Potential Immunological and Prognostic Marker for Non-Small-Cell Lung Cancer by Xia Li, Lianlian Zhang, Zhongquan Yi, Jing Zhou, Wenchun Song, Panwen Zhao, Jixiang Wu, Jianxiang Song, Qinggan Ni

“…Then, the identified differentially expressed genes (DEGs) were subjected to functional enrichment analyses. The protein-protein interaction (PPI) network was built after which module analysis was conducted via the Search Tool for Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape. …”
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