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  1. 381

    Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network by Mengjuan Xu, Xiang Chen, Yuwen Ruan, Xu Zhang

    Published 2024-01-01
    “…With the goal of promoting the development of myoelectric control technology, this paper focuses on exploring graph neural network (GNN) based robust electromyography (EMG) pattern recognition solutions. …”
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    Article
  2. 382

    Bibliometric analysis of current trends and emerging patterns in the application of nanomaterials for non-small cell lung cancer by Shanshan Cai, Weichang Yang, Hongquan Xing, Jiale Yang, Hongdan Luo, Xiaoqun Ye

    Published 2025-05-01
    “…We characterized the publication patterns, pinpointed the most influential nations, institutions, authors, journals, and hot topics related to nanomaterial applications in NSCLC, and proposed potential avenues for future development.…”
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  3. 383
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  5. 385

    Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network by Ge Gao, Xu Zhang, Xiang Chen, Zhang Chen

    Published 2024-01-01
    “…The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intelligent control. …”
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  6. 386

    Scattering of Elastic Waves by an Inhomogeneous Boundary in the Acoustic Testing of Permanent Joints by A. R. Baev, N. V. Levkovich, A. L. Mayorov, M. V. Asadchaya

    Published 2019-12-01
    “…It has a significant effect on the field pattern and its angular amplitude extrema — minima and maxima of different orders when the defect boundary is moved relative to the center of the acoustic beam spot.The features of the evolution of the structure of the scattering field are established, which make it possible to identify optimal conditions for the detection of weakly reflective defects in sound. …”
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  7. 387

    Antitumor effect of recombinant interferon-gamma in an experimental model of Ehrlich’s bilateral solid carcinoma by V. G. Isaeva, L. Y. Grivtsova, L. P. Zhovtun, S. M. Samborsky, N. A. Falaleeva

    Published 2022-06-01
    “…Thus, a distinct, statistically significant antitumor effect of IFNγ was established in relation to a tumor with a multicentric growth pattern.…”
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  8. 388

    Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

    Published 2025-01-01
    “…PurposeTo develop and validate a radiomics nomogram model for predicting the micropapillary pattern (MPP) in lung adenocarcinoma (LUAD) tumors of ≤2 cm in size.MethodsIn this study, 300 LUAD patients from our institution were randomly divided into the training cohort (n = 210) and an internal validation cohort (n = 90) at a ratio of 7:3, besides, we selected 65 patients from another hospital as the external validation cohort. …”
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  9. 389

    Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system. by Ting Xie, Xing Han

    Published 2025-01-01
    “…The aim of this study is to address the limitations of convolutional networks in recognizing modulation patterns. These networks are unable to utilize temporal information effectively for feature extraction and modulation pattern recognition, resulting in inefficient modulation pattern recognition. …”
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  13. 393

    Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology by Julliana Gonçalves Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu

    Published 2025-03-01
    “…This overlap makes it difficult to identify distinct and meaningful symptom patterns as they develop. This study proposes a dimensionality reduction approach combined with a clustering technique to visually analyse structural similarities among SARS-infected individuals, aiming to determine whether aspects such as case progression and diagnosis impact these patterns.MethodsThis analysis utilised the t-Distributed Stochastic Neighbour Embedding (t-SNE) algorithm for dimensionality reduction, combined with Gower's distance to handle categorical data, and k-means clustering. …”
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  14. 394

    Sleep problems and sensory features in children with low-average cognitive abilities and autism spectrum disorder by Sumie Iwasaki, Yuko Yoshimura, Chiaki Hasegawa, Sanae Tanaka, Takashi Ikeda, Ken Yaoi, Tetsu Hirosawa, Mitsuru Kikuchi

    Published 2025-07-01
    “…Abstract Children with Autism Spectrum Disorder (ASD) often have more sleep disturbances than typically developing children. These sleep disturbances have been suggested to be associated with atypical sensory features in children with ASD. …”
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  15. 395

    Dynamic electro‐clinical features in Guanidinoacetate N‐methyltransferase deficiency: A familial case series by Mariapaola Schifino, Emanuele Bartolini, Stefano Pagano, Camilla Meossi, Rosa Pasquariello, Roberta Battini

    Published 2025-08-01
    “…The youngest, diagnosed and treated earlier with supplementation, did not develop epilepsy. More research is needed to understand electro‐clinical features of this condition and the long‐term effects of early or late dietary treatment.…”
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    Modeling inter-city population flows: a Deep Radiation model with multisource geographic features by Jingjing Liu, Lei Xu, Le Ma, Chao Wang, Nengcheng Chen

    Published 2025-08-01
    “…By replacing linear equations with a feedforward neural network, our model predicts migration flows based on an expanded set of features across four dimensions: economic development, urbanization, infrastructure, and environmental factors. …”
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    LRU-Net: lightweight and multiscale feature extraction for localization of ACL tears region in MRI images by Xiaojun Si, Liang Yan, Cui Shi, Yang Xu

    Published 2025-07-01
    “…Furthermore, it employs a dynamic feature extraction module for adaptive multiscale feature extraction. …”
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  20. 400

    Structure-Activity Relationships in Alkoxylated Resorcinarenes: Synthesis, Structural Features, and Bacterial Biofilm-Modulating Properties by Mariusz Urbaniak, Łukasz Lechowicz, Barbara Gawdzik, Maciej Hodorowicz, Ewelina Wielgus

    Published 2025-08-01
    “…In contrast, compound <b>2e</b> and the DMSO control exhibited minimal impact on biofilm development. The results suggest that specific structural features of the alkoxy chains may modulate microbial responses, potentially via membrane stress or quorum sensing interference. …”
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