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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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    Effect of heat treatment on microstructures and mechanical properties of Inconel 718 additively manufactured using gradient laser power by Xu, Luming, Chai, Ze, Peng, Bo, Zhou, Wei, Chen, Xiaoqi

    Published 2023
    “…The as-deposited GLP samples with fine discrete Laves phases and a low SR can achieve a relatively uniform element distribution and γ′′ and γ′ phase precipitation after standard solution treatment plus aging (STA), while CLP samples with coarse long-chain Laves phases and high SR require a high-temperature homogenization plus STA (HSTA) heat treatment to achieve the uniform element distribution. …”
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    Journal Article