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Eunsong Kim,Minseon Kim,Juo Kim,Joonchul Kim,Jung-Hwan Park,Kyoung-Tak Kim,Joung-Hu Park,Taesic Kim,Kyoungmin Min 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.7
Lithium-ion batteries are widely used in electric vehicles, electronic devices, and energy storage systems owing to their high energy density, long life, and outstanding performance. However, various internal and external factors affect the battery performance, leading to deterioration and ageing. Accurately estimating the state of health (SOH), state of charge (SOC), and remaining useful life (RUL) of batteries is challenging owing to complex operating characteristics and changing internal physical parameters. With the increasing availability of shared battery data and improved computer performance, the use of data-driven methods for battery health estimations and RUL predictions has gained popularity. We provide a comprehensive review of several studies in which data-driven methods were used for SOC and SOH estimation and RUL prediction. Specifically, we focus on the importance of open battery-cycling databases, various prediction methods used, and results obtained using each of these methods. Moreover, we aim to facilitate further research by providing a comprehensive description of the current state-of-the-art methods employed in battery health estimation and RUL prediction using open databases and machine-learning algorithms. Thus, we hope that this review will help researchers to develop accurate and reliable predictive models for battery health assessment in the future.
Direct Synthesis of Polymer Nanocapsules with a Noncovalently Tailorable Surface
Kim, Dongwoo,Kim, Eunju,Kim, Jeeyeon,Park, Kyeng ,Min,Baek, Kangkyun,Jung, Minseon,Ko, Young ,Ho,Sung, Wokyung,Kim, Hyung ,Seok,Suh, Ju ,Hyung,Park, Chan ,Gyung,Na, Oh WILEY-VCH Verlag 2007 Angewandte Chemie Vol.46 No.19
<B>Graphic Abstract</B> <P>Hollow out your pumpkin: The direct synthesis of approximately 100-nm-diameter polymer nanocapsules was carried out in the absence of preorganized structures or templates. The method appears to be applicable to any monomer that has a flat core and multiple polymerizable groups at the periphery (see picture). The surface properties of the polymer shell, which comprises cucurbituril, can be easily tailored through host–guest chemistry. <img src='wiley_img/14337851-2007-46-19-ANIE200604526-content.gif' alt='wiley_img/14337851-2007-46-19-ANIE200604526-content'> </P>
Kim, Jina,Song, Jaeyoung,Ji, Hyun Dong,Yoo, Eun Kyung,Lee, Jae-Eon,Lee, Sang Bong,Oh, Ji Min,Lee, Seungmi,Hwang, Ji Sun,Yoon, Heeseok,Kim, Dong-Su,Lee, Su-Jeong,Jeong, Minseon,Lee, Sungwoo,Kim, Kyung- American Chemical Society 2019 Journal of medicinal chemistry Vol.62 No.4
<P>An inverse agonist of estrogen-related receptor-γ (ERRγ), an orphan nuclear receptor encoded by E<I>srrg</I>, enhances sodium iodide symporter-mediated radioiodine uptake in anaplastic thyroid cancer (ATC) cells, thereby facilitating responsiveness to radioiodine therapy in vitro. We synthesized potent, selective, and orally bioavailable ERRγ-inverse agonists and evaluated their activity by analyzing in vitro pharmacology and absorption, distribution, metabolism, excretion, and toxicity profiles. X-ray crystallographic analysis of the ligand and ERRγ complex showed that <B>35</B> completely binds to the target protein (PDB 6A6K). Our results showed improved radioiodine avidity in ATC cells through compound <B>35</B>-mediated upregulation of iodide-handling genes, leading to enhanced responsiveness to radioiodine therapy in vitro. Importantly, in vivo <SUP>124</SUP>I-positron emission tomography/computed tomography imaging revealed that <B>35</B> increases radioiodine avidity in CAL62 tumors. Collectively, these results demonstrated that <B>35</B> can be developed as a promising treatment for ERRγ-related cancer in the future.</P> [FIG OMISSION]</BR>
Analysis of Plant Metabolites Damaged in Chemical Accidents Using NMR Spectroscopy
Minseon Kim,손진영,Yuyoung Song,김용애 대한화학회 2020 Bulletin of the Korean Chemical Society Vol.41 No.11
Chemical accidents can cause a variety of damage, including damage to human health and ecosystems. In Korea, there are a limited number of crops that can be used to calculate damage done to plants after chemical accidents, and there are insufficient data on testing of damaged plants and methods for evaluation thereof because damage calculation methods and procedures have not been specifically established. Therefore, in order to estimate economic losses due to chemical accidents, it is necessary to establish specific calculation methods and procedures. At this point, improvements in Nuclear Magnetic Resonance (NMR) spectroscopy are needed to improve the accuracy and precision of assessment of plant damage caused by chemical accidents. The purpose of this study is to standardize sample pretreatment methods for NMR application and to develop a methodology for estimation of plant damage via testing and evaluation methods for solid samples such as plants and powders at chemical accident sites.
Minseon Kim,Donghao Li,Won-Joon Shim,Jae-Ryoung Oh,Jongman Park* 대한화학회 2007 Bulletin of the Korean Chemical Society Vol.28 No.3
Environmentally important phthalic esters have been analyzed by GC-MS in terms of individual phthalic esters or total phthalic esters directly or after derivatization. Derivatization improves the chromatographic characteristics of the highly polar phthalic esters. This study focused on the GC-MS determination of the total phthalic esters and the individual phthalic esters simultaneously. The phthalic esters were hydrolyzed to phthalate and corresponding alcohols in 1 M NaOH solution at 90 oC for 30 min followed by extraction with ethyl acetate after acidifcation. The phthalic acid and alcohols were simultaneously silyl derivatized using bis(trimethylsilyl)trifluoroacetamide (BSTFA) to their corresponding silyl ester and ethers in the mixture of 60% acetone and 40% ethyl acetate at room temperature within 30 min. Because of the high reactivity of BSTFA with the phthalic acid and alcohols effective silyl derivatization was possible simultaneously. GC-MS analysis of the silyl derivatives of phthalic acid and alcohols was performed. The total phthalic ester content was estimated from the analytical result of phthalic silyl ester, while the individual phthalic ester was quantified from the analytical results of alcoholic silyl ethers. This technique was applied to spiked tab water and real seawater samples from the Lake Shihwa in Korea. The results were checked against the results from the direct GC-MS analysis of the phthalic esters and reasonable recoveries with high sensitivity were achieved. The recoveries were higher than 75% with low relative standard deviation (below 10%).
Kim, Gee Yeong,Jo, William,Lee, Kee Doo,Choi, Hee-Su,Kim, Jin Young,Shin, Hae-Young,Nguyen, Trang Thi Thu,Yoon, Seokhyun,Joo, Beom Soo,Gu, Minseon,Han, Moonsup Elsevier 2015 Solar energy materials and solar cells Vol.139 No.-
<P><B>Abstract</B></P> <P>Cu<SUB>2</SUB>ZnSnS<SUB>4</SUB> (CZTS) films were grown by electrochemical deposition, and we measured the work function of the as-grown and of the KCN-etched CZTS surfaces by using Kelvin probe force microscopy (KPFM) and micro-Raman scattering spectroscopy with incident laser wavelengths of 488.0 and 632.8nm, respectively, and the results indicate that a secondary phase formed at different depths. The KPFM measurements can discriminate phase uniformity at the nano-scale. Secondary phases, such as Cu<SUB>2−<I>x</I> </SUB>S (0<<I>x</I><1), ZnS, and MoS<SUB>2</SUB>, were identified on the as-grown surface while Cu<SUB>2−<I>x</I> </SUB>S was removed from the KCN-etched surface. The KCN-etched CZTS absorption layer was measured to have a 5.0% conversion efficiency. Owing to the low cost of electrochemical deposition, it is desirable to obtain high tailored CZTS films can be obtained with the robust surface characteristics of a uniform work function with a single phase.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Effects of KCN etching on surface properties of CZTS. </LI> <LI> Phase identification by Raman scattering spectroscopy and Kelvin probe force microscopy. </LI> <LI> Secondary phases on CZTS and their work function values. </LI> <LI> Etching of Cu<SUB>2−<I>x</I> </SUB>S by KCN and its resultant change on the morphology and potential. </LI> <LI> Improved surface, eventually interface in the PN junction, enhancing the efficiency. </LI> </UL> </P>
Development and application of a couple-centered antenatal education program in Korea
( Minseon Koh ),( Jisoon Kim ),( Hyeji Yoo ),( Sun A Kim ),( Sukhee Ahn ) 한국여성건강간호학회 (구 여성건강간호학회) 2021 여성건강간호학회지 Vol.27 No.2
Purpose: This study was conducted to develop a couple-centered antenatal education program and to test the program’s feasibility. Methods: With a preliminary-experimental study design, 33 pregnant couples who were expecting their first child participated in this study. The program consisted of four sessions (1 hour/session/week) of education and counseling. Data were collected before and after the intervention from September 2018 to April 2019 at a women’s hospital in Daejeon, Korea, with demographic data forms, the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, Maternal-Fetal Attachment Scale, Korean Newborn Care Confidence Scale, Wijma Delivery Expectancy/Experience Questionnaire, and Dyadic Adjustment Scale-10. Results: The pregnant women and their husbands were on average 32.30±3.10 and 33.21±6.25 years old, respectively. The mean marriage duration was 2.34±1.63 years, the gestational age was 31.30±2.66 weeks, and 78.8% of the couples had a planned pregnancy. After the program, both the pregnant women and their husbands showed significant improvements in attachment to the fetus and confidence in providing infant care. Prenatal depression, prenatal stress, and fear of childbirth in pregnant women significantly decreased after completing the program. However, the dyadic adjustment score did not change significantly either in the pregnant women or their husbands. Conclusion: A couple-centered antenatal education program seems to be effective for couples adjusting to parenthood, but further studies should explore ways to have a positive impact on couples’ relationships.
Kim, Hyun Jung,Koo, Minseon,Hwang, Daekeun,Choi, Jeong Hee,Kim, Seung Min,Oh, Se-Wook The Korean Society for Applied Biological Chemistr 2016 Applied Biological Chemistry (Appl Biol Chem) Vol.59 No.4
Microbiological contamination of fresh vegetables is a recent food safety concern. Bacillus cereus has been recognized as the most frequently detected foodborne pathogen in fresh-cut salads in Korea. Prevalence and level of contamination of B. cereus was determined in samples from processing lines of packaged fresh-cut vegetable salad manufacturing companies (A, B, C, and D). B. cereus was detected in the 27.3-30.8 % of food samples (raw material, salads in washing steps, and final products) and the contamination levels were up to $9.5{\times}10^2CFU/g$, while detection rates in environmental samples were very low. Molecular subtyping of B. cereus strains detected in the processing environments (company A) and retail products (companies A and E) was conducted to reveal the contamination sources during processing. High genetic similarity was found in the bacterial strains obtained from the processing lines and retail products of company A. This result suggested that B. cereus strains of same clone may have circulated in the products prepared in the same company. Genetic similarities were also observed among part of the B. cereus isolates obtained from the processing line of company A and from the retail products of company E, suggesting that some of the B. cereus clones may have originated from the raw materials. The identified information can be used to develop the intervention technology for fresh-cut vegetable processing.
김민선(Minseon Kim),강승표(Seungpyo Kang),민경민(Kyoungmin Min) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Demand for developing sustainable battery technology is rapidly growing. Lithium- and sodium-ion batteries are secondary batteries that have advantages of high-power, high-energy density, and long life and are critical elements of energy storage devices. However, due to the high-price and environmental problems of Co and Ni, which are core elements of battery cathode materials, it is necessary to develop next-generation cathode materials that can replace them without scarifying the performance. However, testing and calculating thousands of new cathode candidates satisfying the ideal performance criteria requires extreme resources. Therefore, in this study, we create a model to predict the capacity, operating voltage, and structural stability of cathode materials using machine learning and develop a platform to screen next-generation cathode materials.