An extreme forecast index-driven runoff prediction approach using stacking ensemble learning by Zhiyuan Leng, Lu Chen, Binlin Yang, Siming Li, Bin Yi

“…The approach focuses on predicting the inflow processes of the Geheyan Reservoir in the Qing River using EFI and runoff time series. …”
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Modeling Soil Temperature with Fuzzy Logic and Supervised Learning Methods by Bilal Cemek, Yunus Kültürel, Emirhan Cemek, Erdem Küçüktopçu, Halis Simsek

“…Soil temperature is a critical environmental factor that affects plant development, physiological processes, and overall productivity. This study compares two modeling approaches for predicting soil temperature at various depths: (i) fuzzy logic-based systems, including the Mamdani fuzzy inference system (MFIS) and the adaptive neuro-fuzzy inference system (ANFIS); (ii) supervised machine learning algorithms, such as multilayer perceptron (MLP), support vector regression (SVR), random forest (RF), extreme gradient boosting (XGB), and k-nearest neighbors (KNN), along with multiple Linear regression (MLR) as a statistical benchmark. …”
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Framework for Groove Rating in Exercise-Enhancing Music Based on a CNN–TCN Architecture with Integrated Entropy Regularization and Pooling by Jiangang Chen, Junbo Han, Pei Su, Gaoquan Zhou

“…To address this, we propose a novel framework for groove rating that integrates Convolutional Neural Networks (CNNs) with Temporal Convolutional Networks (TCNs), enhanced by entropy regularization and entropy-pooling techniques. Our approach processes audio files into Mel-spectrograms, which are analyzed by a CNN for feature extraction and by a TCN to capture long-range temporal dependencies, enabling precise groove-level prediction. …”
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Identifying G-Protein Coupled Receptors Using Mixed-Feature Extraction Methods and Machine Learning Methods by Chunyan Ao, Lin Gao, Liang Yu

“…GPCRs play an important role in a variety of physiological processes and are important drug targets for a variety of diseases. …”
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Identification of Critical Molecular Pathways Induced by HDAC11 Overexpression in Cardiac Mesenchymal Stem Cells by Chongyu Zhang, Neal L. Weintraub, Yaoliang Tang

“…To investigate the effects of HDAC11 overexpression on the gene regulatory networks in CMSCs, we treated mouse CMSCs with an adenoviral vector encoding human HDAC11 (Ad-HDAC11) versus adenoviral GFP (Ad-GFP) as a control. …”
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Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection by Abdul Razaque, Bandar Alotaibi, Munif Alotaibi, Fathi Amsaad, Ansagan Manasov, Salim Hariri, Banu B. Yergaliyeva, Aziz Alotaibi

“…The clickbait search process is accomplished by incorporating the binary search features for a faster and more efficient search process for malicious content-detection. …”
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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses by Zakaria Soufiane Hafdi, Said El Kafhali

“…Educational data mining (EDM) has emerged as a pivotal AI application to transform educational environments by optimizing learning processes and identifying at-risk students. This study leverages EDM within a Moroccan university (Hassan First, University Settat, Morocco) context to augment educational quality and improve learning. …”
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Machine learning-driven discovery of anoikis-related biomarkers in Adult T-Cell Leukemia/Lymphoma subtypes by Mohadeseh Zarei Ghobadi, Elaheh Afsaneh

“…These genes are involved in cell adhesion, survival signaling, and apoptosis—key processes in cellular homeostasis and oncogenesis. …”
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Orthodox Monasteries as Centers of Christian Civilization on the Eastern Borders of the Russian State by Inna I. Yurganova

“…The study is devoted to the history and activities of monastic monasteries in Siberia, their importance in the context of the integration of Siberian territories into the Russian statehood, due to the duration of the processes of Christianization: from the creation of a church administrative unit in Siberia (1620) and completion at the beginning of the twentieth century. …”
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Understanding Host–Pathogen Interactions in Congenital Chagas Disease Through Transcriptomic Approaches by Tatiana M. Cáceres, Luz Helena Patiño, Juan David Ramírez

“…While traditionally associated with vector-borne transmission, increased migration has expanded its reach into urban and non-endemic regions. …”
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Game Narratives as Tools for Shaping Political Discourse Amidst Information Wars: The Case of the Ukrainian Conflict by Daniil A. Fedotov, Stanislav I. Kaminsky

“…The video games are a significant tool for influencing the processes of transformation of mass consciousness through interactive symbols and narratives. …”
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Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty by Aya Haraz, Khalid Abualsaud, Ahmed M. Massoud

“…A well-structured ML pipeline was developed to integrate these processes, optimizing the entire model development cycle for efficiency and practical implementation. …”
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MiR-25 regulates Wwp2 and Fbxw7 and promotes reprogramming of mouse fibroblast cells to iPSCs. by Dong Lu, Matthew P A Davis, Cei Abreu-Goodger, Wei Wang, Lia S Campos, Julia Siede, Elena Vigorito, William C Skarnes, Ian Dunham, Anton J Enright, Pentao Liu

“…<h4>Background</h4>miRNAs are a class of small non-coding RNAs that regulate gene expression and have critical functions in various biological processes. Hundreds of miRNAs have been identified in mammalian genomes but only a small number of them have been functionally characterized. …”
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Metacognitive deficits drive depression through a network of subjective and objective cognitive functions by Yuting Zhan, Xu Ding

“…Abstract Although the relationship between depression and cognitive dysfunction has been extensively documented, research examining the intermediary role of metacognitive processes remains surprisingly limited. This study employed advanced network analytical techniques to elucidate the complex interrelationships between metacognitive beliefs, depressive symptomatology, subjective cognitive complaints (SCCs), and objective cognitive performance in clinical and non-clinical populations. …”
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Modulation of Anopheles stephensi gene expression by nitroquine, an antimalarial drug against Plasmodium yoelii infection in the mosquito. by Jian Zhang, Shuguang Zhang, Yanyan Wang, Wenyue Xu, Jingru Zhang, Haobo Jiang, Fusheng Huang

“…We found both nitroquine in the blood meal and Plasmodium infection altered transcription of mosquito genes implicated in diverse processes, including pathogen recognition, signal transduction, prophenoloxidase activation, cytoskeleton assembling, cell adhesion, and oxidative stress. …”
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ATKIS-DLM-KG: a unified knowledge graph framework for integrating and querying fragmented topographic-cartographic data in the German digital landscape model by Guohui Xiao, Diluxan Sathalingam, Albulen Pano, Yu Feng, Linfang Ding

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FOCAL MECHANISMS OF EARTHQUAKES IN THE SUBDUCTION ZONE OF THE WESTERN PACIFIC PLATE by N. A. Bushenkova, O. A. Kuchay

“…The azimuthal orientation of P-axes of the focal mechanism solutions in the upper (1–70 km) contact zone corresponds to the Pacific Plate displacement vector when the plate fragments are subducting west-northwestwards. …”
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Acceptance of Mass Drug Administration for Prophylaxis against Lymphatic Filariasis in a Tribal Endemic Area: A Descriptive Cross-sectional Study by Asmit Agarwal, Vikas Maharshi

“…Items were grouped under “knowledge,” “social processes,” “think and feel,” “practical factors,” and “motivation/hesitancy” domains. …”
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phylospatial: An R package for spatial phylogenetic analysis with quantitative community data by Matthew M. Kling

“…Here I present phylospatial, a new R package that fully supports probability, abundance, and binary community data across a range of spatial PD analyses. The package processes all three data types in a common framework, while handling them in distinct ways at key points in the analysis pipeline. …”
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European Identity Today: Thought or Feeling? by A. Yu. Kolianov

“…In fact, the 2010-ies became for the EU a period when the political component of integration processes began to come to the fore.…”
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