Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Travel patterns reflect the regularity of residents’ mobility, and it is a crucial factor to evaluate the reasonability of urban spatial structure and connectivity of road networks. …”
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Research on the Influence of Evolution of Landscape Patterns of Blue-Green Space on the Cooling Effect in the Central Urban Area of Xi’an by Weiying KONG, Yizhuo LIU, Sichun DONG, Yuandong HU

“…The research methodology involves selecting six representative landscape indices to evaluate the changes in blue-green space patterns in the central urban area of Xi’an. …”
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Think globally, act locally: Phylodynamic reconstruction of infectious bronchitis virus (IBV) QX genotype (GI-19 lineage) reveals different population dynamics and spreading patter... by Giovanni Franzo, Paola Massi, Claudia Maria Tucciarone, Ilaria Barbieri, Giovanni Tosi, Laura Fiorentini, Massimo Ciccozzi, Antonio Lavazza, Mattia Cecchinato, Ana Moreno

“…In the present work, these phenomena were evaluated by implementing a Bayesian phylodynamic approach to reconstruct the epidemiological patterns and population history of the QX genotype (currently renamed GI-19 lineage), the most relevant IBV lineage of the Old-World. …”
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Metaweb approach to unravel food web structures: Exploring environmental changes and biotic interactions in Korean stream ecosystems by Da-Yeong Lee, Sagar Adhurya, Dae-Seong Lee, Young-Seuk Park

“…Metawebs enable the construction of food webs using biomonitoring data, and provide a comprehensive analysis of ecosystem interactions. Using network theory and food web metrics, we (1) applied metaweb approaches to construct and compare local food webs across multiple study sites, offering a holistic perspective on regional ecosystem dynamics; (2) examined the impacts of environmental changes on food web structures to identify patterns indicative of ecosystem status; and (3) evaluated the influence of habitat heterogeneity on food web configuration. …”
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Functional MRI reveals brain activation patterns associated with optimization of spinal cord stimulation parameters in treating chronic pain by Artur Vetkas, Cletus Cheyuo, Ajmal Zemmar, Brendan Santyr, Clement T. Chow, Sriranga Kashyap, Benson Yang, Mia Mojica, Alexandre Boutet, Can Sarica, Jürgen Germann, Stefan Lang, Mohammad M. Hajiabadi, Andrew Z. Yang, Simon J. Graham, Kâmil Uludağ, Anuj Bhatia, Andres M. Lozano

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Trait dissociation in borderline personality disorder: influence on immediate therapy outcomes, follow-up assessments, and self-harm patterns by Ana Macchia, David Mikusky, Cedric Sachser, Annabel Sandra Mueller-Stierlin, Sandra Nickel, Niklas Sanhüter, Birgit Abler

“…Prior to therapy, we evaluated trait dissociation (Dissociative Experience Scale), early life trauma (Childhood Trauma Questionnaire), and self-harm patterns (clinical interview). …”
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Prevalence and prenatal diagnosis of major congenital anomalies in Dubai: first insights and emerging patterns in a multicenter cohort study by Anne F. Minsart, Hiba Adam, Nadirah Ghenimi, Muna Tahlak, Fadi G. Mirza, Anjum Akbar, Shanthi Sairam

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Neural connectivity biotypes: predictors of clinical outcomes and improvement patterns of iTBS treatment in adolescents and young adults with depression by Xiaoyu Chen, Min Zhang, Fan Zhang, Yanling Zhou, Yuping Ning, Roger S McIntyre, Hanna Lu, Haiyan Liu, Yiying Chen, Xiaofeng Lan, Chengyu Wang, Weicheng Li, Zhibo Hu, Siming Mai, Yanan Yin, Zerui You, Guanxi Liu, Zhanjie Luo, Yexian Zeng, Yifang Chen, Robin Shao

“…This study investigated functional network connectivity and predictors of iTBS treatment outcomes in adolescents and young adults with depression.Aim This study aimed to identify default mode network (DMN)-based connectivity patterns associated with varying iTBS treatment outcomes in depression.Methods Data from a randomised controlled trial of iTBS in depression (n=82) were analysed using a data-driven approach to classify homogeneous subgroups based on the DMN. …”
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Spatiotemporal Land Use and Land Cover Changes and Their Impact on Landscape Patterns in the Colombian Coffee Cultural Landscape (2014–2034) by Anyela Piedad Rojas Celis, Jie Shen, Jose David Martinez Otalora

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Spatiotemporal patterns of wet–dry encounters between water source and receiving areas in the South-to-North water transfer project by Yuping Han, Jinhang Li, Mengdie Zhao

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An Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm by Tao Ma, Huidong Guo, Xin Li

“…To ensure the reliability of monitoring services, evaluating the network’s reliability is particularly important. …”
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An integrative conservation and management strategy based on biological and cultural diversity assessment: A case study of Miaoling mountainous region, China by Xiaoqi Li, Jiaojiao Zhu, Xinyi Lyu, Yiyun Sun, Chuandong Tan, Bin Zhang, Paolo Tarolli, Qichi Yang

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Multi-Class Classification Methods for EEG Signals of Lower-Limb Rehabilitation Movements by Shuangling Ma, Zijie Situ, Xiaobo Peng, Zhangyang Li, Ying Huang

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Enhancing medical image classification via federated learning and pre-trained model by Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz

“…The Convolutional Neural Network (CNN) model with Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Patterns (LBP), along with the EfficientNet model, are being used as the local models. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…Analyzing wetland landscape pattern evolution is crucial for managing wetland resources. …”
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Identification of anoikis-related genes classification patterns and immune infiltration characterization in chronic rhinosinusitis with nasal polyps based on machine learning by Ziqi Chen, Lingmei Qu, Qing Hao, Shuang Teng, Shuo Liu, Qin Wu, Hongtian Yi, Xianji Shen, Liang Li, Zhaonan Xu, Yanan Sun

“…Functional annotation was performed based on Gene Ontology (GO) terms, and pathway enrichment analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Regulatory networks were visualized using NetworkAnalyst and Cytoscape. …”
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Racial and Ethnic Disparities in Dietary Intake and Quality Among United States Veterans by Xuan-Mai T Nguyen, Yanping Li, Stacey B Whitbourne, Luc Djousse, Dong D Wang, Kerry Ivey, Walter C Willett, John Michael Gaziano, Kelly Cho, Frank B Hu

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Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance by Arnaud Cannet, Camille Simon Chane, Aymeric Histace, Mohammad Akhoundi, Olivier Romain, Pierre Jacob, Darian Sereno, Marc Souchaud, Philippe Bousses, Denis Sereno

“…Abstract In this paper, we test the possibility of using Wing Interference Patterns (WIPs) and deep learning (DL) for the identification of Culex mosquitoes species to evaluate the extent to which a generic method could be developed for surveying Dipteran insects of major importance to human health. …”
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Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging by Alexander D. Cohen, Stefano Moia, G. Bruce Pike, César Caballero-Gaudes, Yang Wang

“…In this study a multiband, multi-echo (MBME) pseudo-continuous ASL (pCASL) sequence was used to collect simultaneous BOLD and ASL data in a group of healthy control subjects, and the patterns of BOLD-CBF coupling were evaluated. Coupling was also correlated with the BOLD RS measures. …”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…In this approach, every point in the intelligent city network, including traffic sensors and cameras, serves to collectively comprehend traffic patterns without disclosing raw data. …”
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