Publications by authors named "T S Lai"

Background: Depression affects the global burden of disability among older adults. Although dynapenia is related to disability and potential psychological health outcomes, its association with depressive symptoms remains uncertain. Accordingly, the objective of the current study was to investigate this association in older Taiwanese adults, applying the 2019 Asian Working Group for Sarcopenia (AWGS) classification of dynapenia.

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Identification of metastasis drivers of triple-negative breast cancer (TNBC) is a multifaceted challenge. Here, we identified TATA-box binding protein associated factor 7 (TAF7) as a candidate to modulate TNBC metastasis. TAF7 exhibited high expression in metastatic TNBC patients, and its elevated expression showed a negative correlation with overall survival in TNBC patients.

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Objective: This study aimed to identify body mass index (BMI) growth trajectories from birth to 24 months of age and examine the independent and additive effects of four maternal metabolic risk factors, namely prepregnancy BMI, the rate of gestational weight gain, gestational diabetes mellitus (GDM) and gestational hypertension, on offspring growth trajectories in childhood in China.

Design: A retrospective cohort study was conducted.

Setting: The study used Maternal and Child Health Management Database in Chengdu, China, including the mothers' antenatal care data, birth certificate records and 0-3-year-old children's healthcare data.

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This study aims to assess and compare the shrinkage, accuracy, and accuracy stability of a novel 3D-printing model resin and eight commercially available 3D-printing model resin materials. The experimental model resin was developed by our 3D-printing proprietary resin technology. Eight commercially available 3D-printing model resins were included for comparison.

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Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. Establishing this capability, especially for impactful and meaningful problems, remains a central challenge. Here we show that superconducting quantum annealing processors can rapidly generate samples in close agreement with solutions of the Schrödinger equation.

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