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  • Encapsulation of polyphenol rich extract from rambutan (Nephelium lappaceum L.) peel for application as dual functional ingredient in ice cream

    Encapsulation of polyphenol rich extract from rambutan (Nephelium lappaceum L.) peel for application as dual functional ingredient in ice cream

    Materials

    Rambutan (Nephelium lappaceum L.) peels were collected from Malee Group Public Company Limited (Nakhon Pathom, Thailand). The rambutan peels were washed and sliced into small pieces and dried in a hot air oven (Binder Model D-78532,…

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  • The associations between three mattering measures and exhaustion, loneliness, self-esteem, and hope across different educational levels: insights from primary, middle, high school, and university students

    The associations between three mattering measures and exhaustion, loneliness, self-esteem, and hope across different educational levels: insights from primary, middle, high school, and university students

    Mattering, a psychological construct through which most people, particularly students, define themselves, is crucial for one’s psychological well-being (Flett et al., 2019). The mattering construct was first introduced by Rosenberg and…

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  • A predictive study of factors associated with burnout, compassion fatigue, and moral distress among emergency nurses

    Design

    This was a cross-sectional predictive design. This design provides an opportunity to examine the relationship between certain factors (predictors) and the outcomes of burnout, compassion fatigue, and moral distress in emergency nurses at a…

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  • A student academic performance prediction model based on the interval belief rule base

    A student academic performance prediction model based on the interval belief rule base

    In this section, two case studies were used to verify the validity and superiority of the IBRB-C student performance prediction model. In Subsection “IBRB-C model for prediction of graduate admission success rate”, a graduate application…

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  • Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland

    Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland

    Data pre-processing modular

    Sample entropy (SEn)

    SEn is generally utilized to measure the probability of a new pattern appearing in the time series, and to measure its complexity with the advantage that the calculated outcome has no dependence on…

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  • Microscopic geared metamachines | Nature Communications

    Microscopic geared metamachines | Nature Communications

    Micromotors powered by optical metasurface

    We present a rotating micromotor powered by an optical metasurface. This micromotor is constituted by a metarotor — a ring structure containing a metasurface — that is securely anchored to a glass…

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