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  1. 17661

    Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

    Published 2024-06-01
    “…In the context of the deep integration of new generation information technology and smart education, the research and application of smart classroom systems have received widespread attention. …”
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    Article
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    Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

    Published 2025-01-01
    “…We designed a detection algorithm using trend data to validate our clustering method, thereby enhancing the accuracy of the analysis of tonal ranges and potential models. …”
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  5. 17665

    The ethics of AI at the intersection of transgender identity and neurodivergence by Max Parks

    Published 2025-04-01
    “…Abstract Artificial intelligence systems increasingly mediate decisions in domains from healthcare and education to law enforcement, but they often inherit historical biases. …”
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  6. 17666

    Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

    Published 2024-12-01
    “…The proposed model effectively optimizes the virtual reality teaching process of arts and crafts, and provides a useful contribution to the application of virtual reality in the field of education.…”
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    What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty? by Ebru Çağlayan-Akay, Gülşah Sedefoğlu

    Published 2017-05-01
    “…Bayesian probit regression is applied using a Markov Chain algorithm, Gibbs sampler. The results of the study show that the most effective variables, which cause a decrease of the probability of living under poverty line, are education level of bachelor for 4 years, master and PhD for female-headed households and household type of being single adult for male-headed households in urban area, working full time for male- and female-headed households in rural area. …”
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    Diagnostics-linked Antimicrobial Surveillance: A Route to Patient-Centred Microbiology Diagnostics? by Dr Alex Howard, Dr Charlotte Brookfield, Dr Conor Rosato, Dr Anoop Velluva, Dr Alessandro Gerada, Professor William Hope

    Published 2025-03-01
    “…In this study we trialled a microbiology diagnostics-linked antimicrobial surveillance (DLAS) algorithmic approach on real-world urine antimicrobial susceptibility testing and antimicrobial prescribing data. …”
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    Artificial intelligence technology in ophthalmology public health: current applications and future directions by ShuYuan Chen, Wen Bai, Wen Bai

    Published 2025-04-01
    “…AI offers significant improvements in ophthalmic data management, disease screening and monitoring, risk prediction and early warning systems, medical resource allocation, and health education and patient management. …”
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    Article
  15. 17675

    Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

    Published 2025-02-01
    “…Abstract The World Health Organization predicts that by 2030, depression will be the most common mental disorder, significantly affecting individuals, families, and society. …”
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    Article
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    Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response by Sergio Luis Náñez Alonso, Peterson K. Ozili, Beatriz María Sastre Hernández, Luís Miguel Pacheco

    Published 2025-03-01
    “…Generative AI, with its algorithmic fidelity, has great potential for predicting human behavior in economic contexts. …”
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    Article
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    Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

    Published 2024-04-01
    “…Modern neural networks, such as neural networks and large language models (LLMs), claim to be able to diagnose, prescribe treatments, and predict the course of mental disorders based on historical and clinical data. …”
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    Article
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