Publications by authors named "M K Jeon"

: This study explores the potential of using elevated levels of blood double-stranded RNA (dsRNA) as a diagnostic tool for severe fever with thrombocytopenia syndrome (SFTS) infection. : Blood samples from SFTS patients were collected, dsRNA was purified, and total dsRNA expression was quantitatively analyzed using a spiropyran-based method. Comparative analysis was performed using blood samples from healthy individuals and scrub typhus patients with similar symptoms.

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Background: The COVID-19 pandemic has accelerated the digitalization of modern society, extending digital transformation to daily life and psychological evaluation and treatment. However, the development of competencies and literacy in handling digital technology has not kept pace, resulting in a significant disparity among individuals. Existing measurements of digital literacy were developed before widespread information and communications technology device adoption, mainly focusing on one's perceptions of their proficiency and the utility of device operation.

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Educational researchers have a long-lasting interest in the strategies examinees employ when responding to items in an assessment. Mixture item response theory (IRT) modeling is a popular class of approaches to studying examinees' item-response strategies. In the present study, we introduce a response time (RT)-based mixture IRT model for flexible modeling of examinee-and-item-specific item-response strategies.

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Aim: Digital health interventions, including health analytics, telehealth, mHealth and digitised healthcare systems, are rapidly advancing and demonstrate effectiveness in palliative care. Although end-of-life (EOL) and hospice care are within palliative care, they differ in outcomes, target populations and delivery systems. This review examines research trends to guide digital health strategies for EOL and hospice care.

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Glioblastoma (GBM) is the most common primary malignant brain tumor in adults with a poor prognosis despite aggressive therapy. Here, we hypothesized that daily host signaling regulates tumor growth and synchronizes circadian rhythms in GBM. We find daily glucocorticoids promote or suppress GBM growth through glucocorticoid receptor (GR) signaling depending on time of day and the clock genes, Bmal1 and Cry.

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