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    MAS.630 Affective Computing, Spring 2002 by Picard, Rosalind W.

    Published 2002
    Subjects: “…Neuroscience findings…”
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    Learning Object
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    Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment by Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran

    Published 2024
    “…The model predicted the actual executive function scores with correlation r = 0.69 and intra-individual changes in executive function scores with r = 0.61. Conclusions: Our findings demonstrated that wearable-based physiological measures, primarily HRV, have potential to be used for the continuous assessments of cognitive function in individuals with MCI.…”
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    Journal Article
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    Developing a human capital strategy for JWA positioning it for the future by Hong, Nicole Lena, Kee, Francis Eng Chye, Neeraj Kumar Srivastava, Sriyani Puspa Kinasih

    Published 2013
    “…The approach adopted was to bring together findings, relevant research and best practices in human resources management and development in a simple and practicable strategy, implementable at little cost, for JWA's consideration. …”
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    Thesis
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