Harnessing Digital Twins for Sustainable Agricultural Water Management: A Systematic Review by Rameez Ahsen, Pierpaolo Di Bitonto, Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Domenico Diacono, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro

“…AI enhances DT performance through machine learning (ML) and data-driven insights, optimizing water usage. …”
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The Role of Physical Activity on Spatial and Temporal Cognitive Processing in Young Women by Joaquín Castillo-Escamilla, María del Mar Salvador-Viñas, José Manuel Cimadevilla

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Identification and mechanistic insights of cell senescence-related genes in psoriasis by Guiyan Deng, Cheng Xu, Dunchang Mo

“…Protein-protein interaction networks, Gene Ontology, and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to explore the functions and pathways of these genes. Machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression and Support vector machine-recursive feature elimination (SVE-RFE), were used to select feature genes that were validated by qRT-PCR. …”
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A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow by Ilari Pajula, Niclas Joswig, Aiden Morrison, Nadia Sokolova, Laura Ruotsalainen

“…Visual–inertial odometry (VIO), the fusion of visual and inertial sensor data, has been shown to be functional for navigation in global-navigation-satellite-system-denied environments. …”
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Metabolomics and lipidomics of plasma biomarkers for tuberculosis diagnostics using UHPLC-HRMS by Gaofeng Sun, Quan Wang, Xinjie Shan, Maierheba Kuerbanjiang, Ruiying Ma, Wensi Zhou, Lin Sun, Qifeng Li

“…However, the characteristics of the circulating metabolites and their functions after Mycobacterium tuberculosis infection have not been fully elucidated. …”
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Gamification of the educational space: advantages and disadvantages (on the example of Kahoot!) by Svitlyk Myroslava

“…It is shown that the platform’s functionality allows both presenting new material and refreshing knowledge, repeating the passed material, and conducting ongoing knowledge assessments. …”
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FPGA-accelerated SpeckleNN with SNL for real-time X-ray single-particle imaging by Abhilasha Dave, Cong Wang, James Russell, Ryan Herbst, Jana Thayer

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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…Sleep Bruxism (SB) and Awake Bruxism (AB) can cause severe discomfort, exhaustion, and problems with day-to-day functioning, including poor sleep and bad performance at work. …”
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Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer’s disease based on network pharmacology and bioinformatics by Ma Xiaoying, Huo Zhiming, Shi Mingwen, Wang Hong, Yang Tao, Xiao Jun, Gong Na

“…Our study employs network pharmacology and machine learning to uncover its therapeutic potential. We constructed a network of AD-relevant target proteins using databases like TCMSP, CTD, and GeneCards, and performed gene enrichment and functional analysis with DAVID, GO, and KEGG via Hiplot. …”
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Block-Wise Domain Adaptation for Workload Prediction from fNIRS Data by Jiyang Wang, Ayse Altay, Leanne Hirshfield, Senem Velipasalar

“…Functional near-infrared spectroscopy (fNIRS) is a non-intrusive way to measure cortical hemodynamic activity. …”
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Integrative Multi-Omics Analysis Reveals Critical Molecular Networks Linking Intestinal-System Diseases to Colorectal Cancer Progression by Shiliang Ji, Haoran Hu, Ruifang Zhu, Dongkai Guo, Yujing Liu, Yang Yang, Tian Li, Chen Zou, Yiguo Jiang, Guilai Liu

“…Differentially expressed genes (DEGs) were identified using Limma and DESeq2. Functional enrichment analysis was performed using clusterProfiler. …”
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Tracking dustbathing behavior of cage-free laying hens with machine vision technologies by Bidur Paneru, Ramesh Bist, Xiao Yang, Lilong Chai

“…ABSTRACT: Dustbathing (DB) is a functionally important maintenance behavior in birds that clean plumage, realigns feather structures, removes feather lipids, which helps to remove parasites and prevents feathers from becoming too oily. …”
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The Role of Pyroptosis‐Related Gene Signature and Immune Infiltration in Juvenile Dermatomyositis by Qiao W, Zhu C, Huang D, Liu Y, Wang Z, Zhu T, Song Q, Yang X, Wang Y, Wang Y

“…Differential gene expression analysis and machine learning analysis were performed to identity the hub pyroptosis-related differentially expressed genes (PR-DEGs). …”
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Aging Assessment of Power Transformers with Data Science by Samuel Lessinger, Alzenira da Rosa Abaide, Rodrigo Marques de Figueiredo, Lúcio Renê Prade, Paulo Ricardo da Silva Pereira

“…The operating conditions of power transformers are fundamental for the safe functioning of the electrical power system. Predictive maintenance consists of periodically monitoring the asset in use, in order to anticipate critical situations. …”
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Large-scale annotation of biochemically relevant pockets and tunnels in cognate enzyme–ligand complexes by O. Vavra, J. Tyzack, F. Haddadi, J. Stourac, J. Damborsky, S. Mazurenko, J. M. Thornton, D. Bednar

“…However, the identification of functional tunnels in multiple protein structures is a non-trivial task that can only be addressed computationally. …”
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A Convolutional Neural Network Tool for Early Diagnosis and Precision Surgery in Endometriosis-Associated Ovarian Cancer by Christian Macis, Miriam Santoro, Vladislav Zybin, Stella Di Costanzo, Camelia Alexandra Coada, Giulia Dondi, Pierandrea De Iaco, Anna Myriam Perrone, Lidia Strigari

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EEG microstate analysis in children with prolonged disorders of consciousness by Yi Zhang, Zhichong Hui, Yuwei Su, Weihang Qi, Guangyu Zhang, Liang Zhou, Jiamei Zhang, Kaili Shi, Yonghui Yang, Lei Yang, Gongxun Chen, Sansong Li, Mingmei Wang, Dengna Zhu

“…HC showed stronger connectivity for MS A, C, and D, while MCS exhibited stronger functional connectivity for MS C and D compared to VS/UWS. …”
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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

“…However, the existing work ignored the semantic similarity inherent in the subway stations function, which can extract passengers and enhance prediction accuracy. …”
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ResT-IMU: A Two-Stage ResNet-Transformer Framework for Inertial Measurement Unit Localization by Yanping Zhu, Jianqiang Zhang, Wenlong Chen, Chenyang Zhu, Sen Yan, Qi Chen

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The Neural Mechanisms of Private Speech in Second Language Learners’ Oral Production: An fNIRS Study by Rong Jiang, Zhe Xiao, Yihan Jiang, Xueqing Jiang

“…<b>Background</b>: According to Vygotsky’s sociocultural theory, private speech functions both as a tool for thought regulation and as a transitional form between outer and inner speech. …”
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