Showing 121 - 140 results of 5,169 for search '(((pinnae OR (pine OR spine)) OR (find OR qingge)) OR (spinna OR pin))', query time: 0.18s Refine Results
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    Nanotechnology in food production: a comprehensive bibliometric analysis using R-package by Rajendran, Salini Devi, Wahab, Siti Norida, Yeap, Swee Pin, Kamarulzaman, Nitty Hirawaty, Abdul Halim Lim, Sarina

    Published 2023
    “…According to our findings, the number of publications on nanotechnology in food production has increased dramatically since 2003. …”
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    Article
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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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    Combined knee osteoarthritis and diabetes is associated with reduced muscle strength, physical inactivity, and poorer quality of life by Seow, Shi Rui, Mat, Sumaiyah, Teoh, Jun Jie, Mohamad Yusup, Amyra, Rajab, Nor Fadilah, Ismail, Intan Safinar, Ajit Singh, Devinder Kaur, Shahar, Suzana, Tan, Maw Pin, Berenbaum, Francis

    Published 2024
    “…Knee osteoarthritis+diabetes-was independently associated with reduced Timed Up and Go test and social isolation. Conclusion: The findings revealed the diabetic knee osteoarthritis subgroup’s unique physical and psychosocial features of reduced muscle strength and physical inactivity. …”
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    Article
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    Machine learning driven synthesis of few-layered WTe₂ with geometrical control by Xu, Manzhang, Tang, Bijun, Lu, Yuhao, Zhu, Chao, Lu, Qianbo, Zhu, Chao, Zheng, Lu, Zhang, Jingyu, Han, Nannan, Fang, Weidong, Guo, Yuxi, Di, Jun, Song, Pin, He, Yongmin, Kang, Lixing, Zhang, Zhiyong, Zhao, Wu, Guan, Cuntai, Wang, Xuewen, Liu, Zheng

    Published 2022
    “…Notably, the growth mechanism of 1T' few-layered WTe2 NRs is further proposed, which provides new insights for the growth of intriguing 2D and 1D tellurides and may inspire the growth strategies for other 1D nanostructures. Our findings suggest the effectiveness and capability of ML in guiding the synthesis of 1D nanostructures, opening up new opportunities for intelligent materials development.…”
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    Journal Article