Publications by authors named "S Jeong"

The immune system continuously interacts with tumors, possibly leading to systemic alterations in circulating immune cells. However, the potential of these cancer-associated changes for diagnostic purposes remains poorly explored. To investigate this, we conducted a comprehensive flow cytometric analysis of 452 peripheral blood mononuclear cell (PBMC) samples from 206 non-small-cell lung cancer (NSCLC) patients, 100 small-cell lung cancer (SCLC) patients, 94 healthy individuals, and 52 benign lung disease (BLD) patients.

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Polythiophene donors offer scalable and cost-effective solutions for the organic photovoltaic industry. A thorough understanding of the structure-property-performance relationship is essential for advancing polythiophene-based organic solar cells (PTOSCs) with high power conversion efficiencies (PCEs). Herein, we develop two polythiophene donors─PTTz-CN and PTTz-CN(T2)─to verify the energy loss-quantum efficiency relationship.

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Background: The World Health Organization's fifth edition of tumor series classification was published in 2019 and adopted the term 'Neuroendocrine neoplasm (NEN)' to encompass all tumor classes with predominant neuroendocrine differentiation (NED). Based on the updated classification of the NEN, we conducted a case series using the Clinical Data Warehouse platform of SMC.

Methods: In this retrospective study, breast NENs and invasive breast carcinomas no special type (IBCNST) with NED, were defined as 'NENS'.

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Drug delivery systems hold promise for delivering cytotoxic drugs by controlling the timing and location of the drug release. However, conventional delivery mechanisms often fall short of achieving spatiotemporally controlled yet sustained release, which is crucial for ensuring drug efficacy and minimizing impact on surrounding tissues. Here, an ionic diode-based drug delivery system is reported that is controlled by an electric potential and capable of releasing drugs at scales ranging from nanogram to microgram.

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An unprecedented amount of SARS-CoV-2 data has been accumulated compared with previous infectious diseases, enabling insights into its evolutionary process and more thorough analyses. This study investigates SARS-CoV-2 features as it evolved to evaluate its infectivity. We examined viral sequences and identified the polarity of amino acids in the receptor binding motif (RBM) region.

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