Publications by authors named "Jaemin An"

Introduction: In the context of collective efforts taken in Japan to control the spread of COVID-19, the state of emergency and social distancing have caused a negative impact on the mental health of all residents, including foreign communities in Japan. This study aimed to evaluate the level of anxiety and its associated factors among non-Japanese residents residing in Japan during the COVID-19 pandemic.

Methods: A web-based survey in 13 languages was conducted among non-Japanese residents living in Japan during the COVID-19 situation.

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Article Synopsis
  • * The analysis utilized orthogonal partial least square discriminant analysis (OPLS-DA) to identify important elements that help distinguish the origin, with notable accuracy shown through area under the curve (AUC) values.
  • * Verification and classification results indicated that the method could reliably identify the geographic origin of chicken, achieving 100% accuracy in certain tests, suggesting it could be a valuable tool in food analysis.
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Kimchi has been designated as one of the world's five healthiest foods, and it is a traditional Korean fermented food. The purpose of this study was to investigate whether the origin of Kimchi can be discriminated against by using inorganic elements to develop a more accurate method. The OPLS-DA showed that the R and Q values were 0.

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Laser-induced breakdown spectroscopy (LIBS) and near-infrared (NIR) spectroscopy were combined to enhance discrimination of soybean paste samples according to geographical origin. Since element and organic component compositions of soybean pastes depend on soybean cultivation areas and fermentation conditions, utilization of two complementary spectroscopic signatures would be synergetic for the discrimination. When the areas of C (A) and Ca (A) peaks in the LIBS spectra were used as the inputs for linear discriminant analysis, the accuracy was 95.

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In this paper, we successfully separated malignant human breast cancer epithelial cells (MCF 7) from healthy breast cells (MCF 10A) and analyzed the main parameters that influence the separation efficiency with an advanced dielectrophoresis (DEP)-activated cell sorter (DACS). Using the efficient DACS, the malignant cancer cells (MCF 7) were isolated successfully by noninvasive methods from normal cells with similar cell size distributions (MCF 10A), depending on differences between their material properties such as conductivity and permittivity, because our system was able to discern the subtle differences in the properties by generating continuously changed electrical field gradients. In order to evaluate the separation performance without considering size variations, the cells collected from each outlet were divided into size-dependent groups and counted statistically.

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