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  1. 20041

    Identification of nitric oxide-mediated necroptosis as the predominant death route in Parkinson’s disease by Ting Zhang, Wenjing Rui, Yue Sun, Yunyun Tian, Qiaoyan Li, Qian Zhang, Yanchun Zhao, Zongzhi Liu, Tiepeng Wang

    Published 2024-10-01
    “…Using the Scaden deep learning algorithm, we predicted neurocyte subtypes and modelled dynamic interactions for five classic cell death pathways to identify the predominant routes of neuronal death during PD progression. …”
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    Article
  2. 20042

    Efficient and Real-Time Compression Schemes of Multi-Dimensional Data from Ocean Buoys Using Golomb-Rice Coding by Quan Liu, Ziling Huang, Kun Chen, Jianmin Xiao

    Published 2025-01-01
    “…Data compression can reduce transmission energy and extend system lifespan. In particular, the algorithm cannot introduce delays to ensure real-time monitoring. …”
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    Article
  3. 20043

    Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

    Published 2025-06-01
    “…To ensure that the model predictions are sufficiently reliable, a multi-level gradcam algorithm is also introduced for checking the regions of interest of the Hierarchical model at two levels and the comparisons are made with human experts. …”
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    Article
  4. 20044

    Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

    Published 2025-06-01
    “…The method used here employs a robust compressed sensing spectral inversion algorithm. It determines initial reflection coefficients using a thin-layer matching pursuit algorithm and then performs post-stack sparse inversion based on the L0-norm compressed sensing theory. …”
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    Article
  5. 20045

    A three-subtype prognostic classification based on base excision repair and oxidative stress genes in lung adenocarcinoma and its relationship with tumor microenvironment by Wen Rao, Qin Zhang, Xiaoyan Dai, Yuxin Yang, Zhang Lei, Xunjie Kuang, He Xiao, Jianwu Zhu, Yanli Xiong, Dong Wang, Lujie Yang

    Published 2025-05-01
    “…C2 was also associated with an improved survival outcome compared with C1 and C3, and this finding was validated in 978 samples from four independent GEO datasets and 52 samples at our institution by the NTP algorithm. The three-subtype classifications based on BER and oxidative stress gene expression offers potential for predicting the survival and response to immunotherapy of LUAD patients.…”
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  6. 20046
  7. 20047

    AQST-ClustNet: Hybrid Aquila Quantum Sooty Tern Optimization for User Profile Clustering in Social Network by K. Dinesh Babu, L. Sujihelen, C. Senthil Singh

    Published 2025-08-01
    “…A Hybrid Aquila Quantum Sooty Tern Optimization (HAQSTO) algorithm is employed for clustering the user profile into healthcare professionals, marketing professionals, software developers, and educators. …”
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    Article
  8. 20048

    Game Narratives as Tools for Shaping Political Discourse Amidst Information Wars: The Case of the Ukrainian Conflict by Daniil A. Fedotov, Stanislav I. Kaminsky

    Published 2025-07-01
    “…The methodology of the study is based on the synthesis of narrative, semiotic and discourse analysis of game annotations, algorithmic study of game mechanics, expert assessments and longitudinal monitoring. …”
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    Article
  9. 20049

    Clothes consumption and disposal practices: a look at the profile of Brazilian apparel consumers by Rimena Canuto Oliveira, Irenilza de Alencar Nääs, Solimar Garcia

    Published 2024-12-01
    “…Only four attributes were chosen by the algorithm to build the trees (age, annual income, yearly spending on clothes and how long the clothes are worn). …”
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  10. 20050
  11. 20051

    Cultural Moduses of Students and Their Influence on the Formation of Life Plans by M. A. Golovchin

    Published 2024-07-01
    “…The practical significance of the research results lies in the possibility of their use within the framework of strategic design of youth and educational policies.…”
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    Article
  12. 20052
  13. 20053

    Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity by Xiaochen Tang, Yanyan Wei, Jiaoyan Pang, Lihua Xu, Huiru Cui, Xu Liu, Yegang Hu, Mingliang Ju, Yingying Tang, Bin Long, Wei Liu, Min Su, Tianhong Zhang, Jijun Wang

    Published 2025-02-01
    “…Functional connectivity (FC) features that were correlated with symptom severity were subjected to the single-cell interpretation through multikernel learning (SIMLR) algorithm in order to identify latent homogeneous subgroups. …”
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    Article
  14. 20054

    Multimodal Imaging of Diabetic Retinopathy: Insights from Optical Coherence Tomography Angiography and Adaptive Optics by Andrada-Elena Mirescu, Dan George Deleanu, Sanda Jurja, Alina Popa-Cherecheanu, Florian Balta, Gerhard Garhofer, George Balta, Irina-Elena Cristescu, Ioana Teodora Tofolean

    Published 2025-07-01
    “…OCTA images of the superficial capillary plexus, acquired with the OCT Angio Topcon, were analyzed using a custom-developed MATLAB algorithm, while AO retinal vascular images were evaluated with the manufacturer’s software of the Adaptive Optics Retinal Camera rtx1™. …”
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  15. 20055
  16. 20056
  17. 20057

    Design and Experiment of a Single-Disk Silage Corn Harvester by Wenxuan Wang, Wei Sun, Hui Li, Xiaokang Li, Yongwei Yuan

    Published 2025-03-01
    “…The ternary quadratic regression prediction model was constructed by using Isight 5.6 software, and the accuracy of the model was verified by variance analysis and field experiments. …”
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    Article
  18. 20058

    Transfer Kernel Extreme Learning Machine Based on Bidirectional Cross Domain Approximation by Yuanxiao Zeng, Huimin Li, Yanbing Song

    Published 2025-01-01
    “…Finally, by combining the predictions from both transfer KELMs, our model significantly boosts its robustness. …”
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    Article
  19. 20059

    Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques

    Published 2024-07-01
    “…This approach addresses the formidable challenges of accurately predicting consumer behaviour. We provide a detailed introduction to recommendation systems, emphasizing their vital role in the modern marketing landscape. …”
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  20. 20060

    Hybrid CNN-based Recommendation System by Muhammad Alrashidi, Roliana Ibrahim, Ali Selamat

    Published 2024-02-01
    “…In order to enhance the accuracy of predictions and address the challenges posed by sparsity, the proposed model incorporates both the extracted attributes and explicit interactions between items and users. …”
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    Article