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  1. 1441

    Associations of type D personality with amplitude-time ECG parameters by O. V. Kremleva

    Published 2024-06-01
    “…The purpose of the study is to identify the features of amplitude-time ECG parameters in type D personalities and to establish associations of amplitude-time ECG patterns in a non-cardiological sample of women with type D indicators and its components — NA and SI. …”
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  2. 1442

    Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

    Published 2025-01-01
    “…From a wide range of examined user-defined parameters, four case examples are highlighted to demonstrate the identified temporal patterns in multi-modal HD trajectories and to study how these differ due to the combined effects of feature weights and granularity threshold. …”
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  3. 1443

    Multimodal Brain Growth Patterns: Insights from Canonical Correlation Analysis and Deep Canonical Correlation Analysis with Auto-Encoder by Ram Sapkota, Bishal Thapaliya, Bhaskar Ray, Pranav Suresh, Jingyu Liu

    Published 2025-02-01
    “…While traditional methods like canonical correlation analysis (CCA) capture the linear interactions of brain regions, a deep canonical correlation analysis with an autoencoder (DCCAE) nonlinearly extracts brain patterns. The study involves a comparative analysis of changes in gray and white matter over two years, exploring their interrelation based on correlation scores, extracting significant features using both CCA and DCCAE methodologies, and finding an association between the extracted features with cognition and the Child Behavior Checklist. …”
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  4. 1444

    Data-Driven Insights Into EV Charging Patterns: Machine Learning Models Reveal Key Predictors of Station Utilization in Tennessee by Seyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Austin Harris, Mina Sartipi

    Published 2025-01-01
    “…This study analyzes electric vehicle (EV) charging patterns and station utilization in Tennessee using machine learning (ML) techniques. …”
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  5. 1445
  6. 1446

    Epidemiological characteristics of respiratory tract infections during and after the pandemic of COVID-19 from 2021 - 2023 in Shenzhen, southern China by Qiaoruo Jin, Sheng Yu, Jiuxin Qu

    Published 2025-05-01
    “…The analysis focused on changes in detection rates, epidemiological characteristics, and clinical features of respiratory pathogens, including three viruses and eight bacteria. …”
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  7. 1447
  8. 1448

    Renal prognostic value of serum monoclonal immunoglobulin in cryoglobulinemic glomerulonephritis by Lei Ma, Yuanyuan Xia, Yun Fan, Dan Zhou, Xinchen Yao, Yongzhong Zhong, Fan Yang, Feng Xu, Shaoshan Liang, Yujie Wang, Xiaodong Zhu, Dacheng Chen, Rong Tan, Zhengyun Zhu, Dandan Liang, Caihong Zeng

    Published 2025-07-01
    “…AimsTo explore the clinicopathological features and renal outcome in patients with cryoglobulinemic glomerulonephritis (Cryo-GN) without confirmed systemic autoimmune diseases.MethodsSixty-nine patients with Cryo-GN from a single center were recruited in this retrospective study. …”
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  9. 1449

    High-Order Vehicular Pattern Learning and Privacy-Preserving and Unsupervised GAN for Privacy Protection Toward Vehicular Parts Detection by Yanqin Zhang, Zhanling Zhang

    Published 2025-01-01
    “…Afterward, HVPL improves upon traditional methods by constructing a large-scale hypergraph that models complex relationships among vehicular pattern features, uncovering high-order interactions that conventional models fail to detect. …”
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  10. 1450

    Leisure Patterns and Values in Adolescents from Serbia born in 1990s: An Attempt at Building a Bridge between the Two Domains by Ivana Stepanović Ilić, Marina Videnović, Nebojša Petrović

    Published 2020-02-01
    “…The identified leisure patterns contribute to a more detailed and elaborate portrayal of adolescents’ values but those values also bring a new insight into specific features of adolescents’ behaviour during leisure time.…”
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  11. 1451
  12. 1452

    Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

    Published 2025-01-01
    “…A hybrid deep learning model, VGG16-GRU, combining convolutional neural networks (CNNs) and gated recurrent units (GRUs), was developed to capture both spatial and temporal features of continuous respiratory data. The model successfully classified 11 distinct breathing patterns with high accuracy, achieving an overall accuracy of 99.07%, precision of 99.08%, recall of 99.09%, and an F1-score of 99.07%. …”
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  17. 1457

    Identification of thioredoxin domain containing family members' expression pattern and prognostic value in diffuse gliomas via in silico analysis by Begüm Kocatürk

    Published 2023-02-01
    “…Results Our analysis showed that TXNDC family members' expression pattern differ between tumors and healthy tissues and among tumors with different grades. …”
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  18. 1458

    Between a rock and a hard place: experimental assessment of recruitment patterns in a bathyal environment of the Low Arctic by Sophie Wolvin, Jean-François Hamel, Annie Mercier

    Published 2025-08-01
    “…This study sought to better understand the role of substratum features in deep-sea larval recruitment at high latitudes. …”
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  19. 1459

    Spatiotemporally Heterogeneous Effects of Urban Landscape Pattern on PM<sub>2.5</sub>: Seasonal Mechanisms in Urumqi, China by Xingchi Zhou, Yantao Xi, Shuangqiao Wang, Yuanfan Zhang

    Published 2025-05-01
    “…PM<sub>2.5</sub> pollution presents a significant risk to urban habitability. The urban landscape pattern (ULP) serves as a crucial regulator that profoundly influences the spatiotemporal distribution features of PM<sub>2.5</sub>. …”
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  20. 1460

    Construction of a Cold Island Spatial Pattern from the Perspective of Landscape Connectivity to Alleviate the Urban Heat Island Effect by Qianli Ouyang, Bohong Zheng, Junyou Liu, Xi Luo, Shengyan Wu, Zhaoqian Sun

    Published 2025-05-01
    “…This study presents an innovative approach to mitigating the urban heat island (UHI) effect by constructing a cold island spatial pattern (CSP) from the perspective of landscape connectivity, integrating three-dimensional (3D) urban morphology and meteorological factors for the first time. …”
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