Showing 161 - 180 results of 5,865 for search '((spinnae OR ((fine OR find) OR spine)) OR ((pingna OR sspingna) OR pin))', query time: 0.16s Refine Results
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    Evaluating the impacts of lease decay on condominiums in Singapore: Bala's table revisited by Aw, Vernice Ming Hui, Yap, Cassandra Pin Xuan, Yap, Jun Hean

    Published 2024
    “…The rate of depreciation of leaseholds due to lease decay as captured from our findings increases gradually over time, as opposed to the original Bala’s Table where relatively more drastic depreciation happens at the very end of a leasehold unit’s tenure.…”
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    Final Year Project (FYP)
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    Patterned surface with controllable wettability for inkjet printing of flexible printed electronics by Nguyen, Phuong Q. M, Yeo, Lip-Pin, Lok, Boon-Keng, Lam, Yee-Cheong

    Published 2014
    “…Appropriate control of substrate surface properties prior to inkjet printing could be employed to improve the printing quality of fine resolution structures. In this paper, novel methods to fabricate patterned surfaces with a combination of hydrophilic and hydrophobic properties are investigated. …”
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    Journal Article
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    Health and disease phenotyping in old age using a cluster network analysis by Valenzuela, Jesus Felix, Monterola, Christopher, Tong, Victor Joo Chuan, Ng, Tze Pin, Larbi, Anis

    Published 2018
    “…We show, by way of a correspondence analysis between the two sets of clusters, that they correspond to coarse-grained and fine-grained structure of the network relationships. …”
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    Journal Article
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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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