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  1. 1541

    GEM-CRAP: a fusion architecture for focal seizure detection by Jianwei Shi, Yuanyuan Zhang, Ziang Song, Hang Xu, Yanfeng Yang, Lei Jin, Hengxin Dong, Zhaoying Li, Penghu Wei, Yongzhi Shan, Guoguang Zhao

    Published 2025-04-01
    “…Abstract Background Identification of seizures is essential for the treatment of epilepsy. Current machine-learning and deep-learning models often perform well on public datasets when classifying generalized seizures with prominent features. …”
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  2. 1542

    Effect of Periodic Fluctuations of Cutting Mode Parameters on the Temperature of the Front Face of a Turning Tool by E. V. Fominov, V. E. Gvindjiliya, A. A. Marchenko, C. G. Shuchev

    Published 2025-03-01
    “…However, few works consider uncontrolled periodic disturbances, whose sources are spindle units and the supporting system of the machine. These disturbances also have a significant impact on the final quality indicators of the cutting process. …”
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  3. 1543

    Design of motion capture system-aided lower limb exoskeleton by YiJui Chiu, Yong Wu, DarZen Chen, Wei BoHong, Yi Xian Gu, Chin Hui Hao

    Published 2025-06-01
    “…First, the visual environment is constructed and calibrated with 36 reflective marking balls using the CAST marker set method. The maximum error is 0.893 mm, indicating that the accuracy of the system is submillimeter. …”
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  4. 1544

    Computer vision-based location-aware antenna system for 5G applications by Irshad Ali T K, Ansal K A, Sumitha Mathew, Rashida K

    Published 2025-06-01
    “…A rotated square patch antenna is designed to operate at dual frequencies of 3.7 GHz and 5.5 GHz within the sub-6 GHz range. …”
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  5. 1545
  6. 1546

    Analysisof the Vibration Reduction Characteristics of Boring Bar with A Variable Mass Dynamic Vibration Absorber by LIU Qiang, LIU Xian-li, WU Shi, YANG Lin, LI Rong-yi, YANG Hao

    Published 2018-10-01
    “…A new vibration reduction method is proposed by adjusting the mass of the VMDVA to achieve the optimal vibration reduction performance. …”
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  7. 1547

    Research and Experimentation on Acoustic Monitoring Technology for Laser Drilling Penetration by Bowen Lian, Kewen Pan, Liqun Wang, Liwu Shi, Jianhua Yao, Wei Guo

    Published 2025-04-01
    “…This study proposes a laser drilling penetration monitoring method based on acoustic principles. First, the acoustic module parameters of the system were simulated and calibrated using COMSOL Multiphysics (version 6.1) software, resulting in an optimal sound source frequency of 35 kHz and an incident angle of 30° for the acoustic waves. …”
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  8. 1548

    From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

    Published 2025-01-01
    “…This supports individual patient analysis, enables largescale retrospective research, and the development of data-driven algorithms. Methods: Since June 2021, ICU data of the Amsterdam UMC have been collected and stored in a third-party cloud environment which is hosted on large virtual servers. …”
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    Article
  9. 1549

    Regulatory T Cell Sub-Populations in Patients with Distinct Autoimmune/Inflammatory Diseases With or Without Inborn Errors of Immunity by Sevil Oskay Halacli, Dilan Inan, Saliha Esenboga, Hacer Neslihan Bildik, Aslihan Berra Bolat, Ilhan Tezcan, Deniz Cagdas

    Published 2025-07-01
    “…We applied advanced statistical and machine learning techniques, such as t-SNE, k-means clustering, and ROC analysis, to analyze immunophenotypic patterns in the patients. …”
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  10. 1550

    Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks by Mehdi Soleymani, Mohammadjafar Hadad

    Published 2025-02-01
    “…This study proposes the use of acoustic signals as training data as this method offers a simpler way to obtain a large dataset compared to traditional approaches. …”
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  11. 1551

    Design, analysis and development of prosthetic and orthotic elements by additive manufacturing process by Piyush Patel, Piyush Gohil

    Published 2025-03-01
    “…In other words, using 3D printing to create a P&O device for a patient is significantly less time-consuming than traditional methods. In the future, it is intended to compare altered effects obtained by using various types of materials for the improvement of the P&O devices by the AM method.…”
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  12. 1552

    Metabolomic Profiling Reveals Serum Tryptophan as a Potential Therapeutic Target for Systemic Lupus Erythematosus by Wang K, Zhu R, Xu M, Zhu K, Li J, Li C, Meng D, Chen H, Sun L

    Published 2025-07-01
    “…In the mouse model, tryptophan supplementation improved renal histology, reduced proteinuria, increased naïve T cells and central memory T cells, and decreased effector T cell frequencies in both peripheral blood and spleen.Conclusion: This study demonstrates the successful application of machine learning algorithms to metabolomics data for SLE classification and identifies tryptophan and beta-alanine as potential SLE-specific biomarkers. …”
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  13. 1553

    Combination of Music, Artificial Intelligence, and Brainwaves for the Promotion of Mental Well-Being by Georgios Karachalios, Evina Makaroni

    Published 2025-05-01
    “…Through the exploration of brain waves and the influence of music on brain activity, it becomes evident that this technological synthesis can lead to new and dynamic forms of intervention that are more effective and personalized than traditional methods. The preceding research highlighted the fundamental relationship between different brainwave frequencies (alpha, beta, theta, delta) and specific psychological states, such as relaxation, concentration, or deep sleep. …”
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  14. 1554

    Efficient Design of a Terahertz Metamaterial Dual-Band Absorber Using Multi-Objective Firefly Algorithm Based on a Multi-Cooperative Strategy by Guilin Li, Yan Huang, Yurong Wang, Weiwei Qu, Hu Deng, Liping Shang

    Published 2025-06-01
    “…Traditional design processes are complex and time-consuming. Machine learning-based methods, such as neural networks and deep learning, require a large number of simulations to gather training samples. …”
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  15. 1555
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  17. 1557

    Early cortical alterations and neuropsychological mechanisms in amyotrophic lateral sclerosis by Qianqian Zhang, Yu Ding, Yu Zhang, Qingyang Li, Shiyu Shi, Yaxi Liu, Sijie Chen, Qian Wu, Xiaoquan Xu, Feiyun Wu, Xi Cheng, Qi Niu

    Published 2025-01-01
    “…Mediation analyses were performed to examine how cortical alterations influence the relationship between emotional and cognitive functions. Support vector machine (SVM) classification models were constructed to assess the diagnostic utility of differential cortical parameters. …”
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  18. 1558

    Mortality risk associated with clinical signs of possible serious bacterial infection (PSBI) in young infants in Africa and Asia: protocol for a secondary pooled analysis by Adejumoke Idowu Ayede, Samir K Saha, Saifuddin Ahmed, Mohammad Shahidul Islam, Gary L Darmstadt, Fabian Esamai, Antoinette Tshefu Kitoto, Ebunoluwa A Adejuyigbe, Yasir Bin Nisar, Shamim Ahmad Qazi, Vaishnavi Bhamidi, Khusbu Adhikari, Ivana Marić, Robinson D Wammanda

    Published 2025-06-01
    “…We will conduct pooled, individual-level analyses of the frequency of identification of signs individually and in combinations and will conduct three types of analyses of association of signs of PSBI with mortality: (1) case fatality, which has been used in a multisite study of mortality risk associated with signs of PSBI in young infants in Africa; (2) Cox regression, which will enable time-varying analysis of exposure in relation to mortality, as has been done in a multisite study in Asia and (3) machine learning analysis, which has not previously been applied to any of the available data.Ethics and dissemination All prior studies incorporated into our pooled analysis were approved by the independent local ethics committee/institutional review board (IRB) at each study site in each country, and all study participants provided informed consent. …”
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  19. 1559
  20. 1560

    Variant calling from RNA-Seq data reveals allele-specific differential expression of pathogenic cancer variants by Audrey Bollas, Jeffrey Gaither, Kathleen M. Schieffer, Peter White, Elaine R. Mardis

    Published 2025-05-01
    “…Methods VarRNA distinguishes transcriptome variants as germline, somatic, or artifact using a combination of two XGBoost machine learning models. …”
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