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리튬-황 전지용 프리스탠딩 플렉서블 S/CNT/NiO 전극의 제조 및 전기화학적 특성
신윤정 ( Yun Jung Shin ),이원열 ( Won Yeol Lee ),김태윤 ( Tae Yun Kim ),문승근 ( Seung-guen Moon ),김은미 ( En Mei Jin ),정상문 ( Sang Mun Jeong ) 한국화학공학회 2022 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.60 No.2
수열합성을 통해 합성한 다공성 NiO는 리튬 폴리설파이드의 용출을 억제하기 위하여 리튬-황 전지의 전극에 사용되었다. 리튬-황 전지의 전극은 경제적이고 간단한 진공 여과 방법을 이용하여 집전체와 바인더가 없는 프리스탠딩 플렉서블 전극으로 제작되었다. 다공성 NiO를 첨가한 S/CNT/NiO 전극은 순수 S/CNT 전극에 비해 125 mA h g<sup>-1</sup> 증가한 877 mA h g<sup>-1</sup> (0.2 C)의 초기 방전용량과 200 사이클 후 84% (S/CNT: 66%)의 우수한 용량 유지율을 나타내었다. 이는 방전 과정 중에서 NiO와 리튬 폴리설파이드의 강한 화학적 결합에 의하여 리튬 폴리설파이드의 전해질로 용출되는 것을 억제하여 나타난 결과이다. 또한 S/CNT/NiO 전극의 유연성 테스트를 위해 1.6 × 4 ㎠의 파우치셀로 제작하여 폴딩한 상태와 하지 않은 상태에서 모두 620 mA h g<sup>-1</sup>의 안정적인 사이클 특성을 나타내었다. Porous NiO synthesized via hydrothermal synthesis was used in the electrodes of lithium-sulfur batteries to inhibit the elution of lithium polysulfide. The electrode of the lithium-sulfur battery was manufactured as a freestanding flexible electrode using an economical and simple vacuum filtration method without a current collector and a binder. The porous NiO-added S/CNT/NiO electrode exhibited a high initial discharge capacity of 877 mA h g<sup>-1</sup> (0.2 C), which was 125 mA h g<sup>-1</sup> higher than that of S/CNT, and also showed excellent retention of 84% (S/CNT: 66%). This is the result of suppressing the dissolution of lithium polysulfide into the electrolyte by the strong chemical bond between NiO and lithium polysulfide during the charging and discharging process. In addition, for the flexibility test of the S/CNT/NiO electrode, the 1.6 × 4 ㎠ pouch cell was prepared and exhibited stable cycle characteristics of 620 mA h g<sup>-1</sup> in both the unfolded and folded state.
Shin, Seol Hwa,Park, Seok Soon,Lee, Kyoung Jin,Ju, Eun Jin,Park, Jin,Ko, Eun Jeong,Jung, Joohee,Kuroda, Shunich,Hong, Seung-Mo,Hwang, Jung Jin,Lee, Jung Shin,Song, Si Yeol,Jeong, Seong-Yun,Choi, Eun K Spandidos Publications 2017 ONCOLOGY REPORTS Vol.38 No.4
<P>The incidence of hepatocellular carcinoma (HCC) has continued to increase worldwide, and advanced HCC is difficult to treat using the currently available therapeutics. Chemoradiotherapy with cisplatin (cis-diamminedichloroplatinum, CDDP) is expected to confer a curative benefit on HCC patients; however, its application is limited due to side-effects such as acute nephrotoxicity as well as the conventionally limited application of chemoradiotherapy for HCC. For the practical application of this drug in the clinical setting, we formulated a novel drug carrier-comprising bio-nanocapsule (BNC) and liposomal CDDP (BNC-LP-CDDP) that recognizes the human liver and releases CDDP. BNC-LP-CDDP showed selectively high cytotoxicity for HCC cells, and markedly reduced the survival fractions of HCC when combined with ionizing radiation (IR) treatment in in vitro assays. In particular, the treatment of mice bearing human HCC with BNC-LP-CDDP and 3 Gy IR showed 95.68% growth inhibition, whereas IR treatment alone showed 65.6% growth inhibition. Moreover, BNC-LP-CDDP led to the withdrawal of CDDP-induced nephrotoxicity. These results indicate that BNC-LP-CDDP in combination with IR markedly enhanced the chemo-radiotherapeutic efficacy and eliminated CDDP induced nephrotoxicity, thus, suggesting the potential for its clinical application as human HCC therapy.</P>
A Research on Accuracy Improvement of Diabetes Recognition Factors Based on XGBoost
Shin, Yongsub,Yun, Dai Yeol,Moon, Seok-Jae,Hwang, Chi-gon The Institute of Internet 2021 International journal of advanced smart convergenc Vol.10 No.2
Recently, the number of people who visit the hospital due to diabetes is increasing. According to the Korean Diabetes Association, it is statistically indicated that one in seven adults aged 30 years or older in Korea suffers from diabetes, and it is expected to be more if the pre-diabetes, fasting blood sugar disorders, are combined. In the last study, the validity of Triglyceride and Cholesterol associated with diabetes was confirmed and analyzed using Random Forest. Random Forest has a disadvantage that as the amount of data increases, it uses more memory and slows down the speed. Therefore, in this paper, we compared and analyzed Random Forest and XGBoost, focusing on improvement of learning speed and prevention of memory waste, which are mainly dealt with in machine learning. Using XGBoost, the problem of slowing down and wasting memory was solved, and the accuracy of the diabetes recognition factor was further increased.
Fosfomycin의 항균효과 및 capillary electrophoresis에 의한 측정법에 관한 연구
윤효인,박승춘,이규승,권진욱,조준형,신광순,김무열,허강준,조명행 충남대학교 수의과대학 동물의과학연구소 1996 動物醫科學硏究誌 Vol.4 No.-
Fosfomycin, a low molecular antibiotic, is to be easily synthesized, therefore to be possibly used in veterinary sectors due to econimic reasons. In this study, we determined the antibacterial activities of fosfomycin against some domestic animal-origin pathogens, and its combined effects with some important antibacterials available. We also compared detection methods of fosfomycin from various measuring instruments. The results obtained through this experiment were as follows: 1. Antibacterial activities of fosfomycin against the pathogens used in this experiment were appeared fairly low. We found the antobacterial activities depanded on the kinds of media and the addition of some material thereins, which suggests the importance of appropriate medium so as to judge the antibacterial activity of fosfomycin. 2. Fosfomycin showed varying antibacterial effects in combination with other antibacterials, which should be taken into consideration when combining other antobacterials especially in the clinical settings. Of the combined antivacterials, fosfomycin had synergistic effects in combination with amoxicillin but antagonistic effects with oxytetracyline. 3. Conventional detection methods using HPLC, GC and spectrophotometer were not appropriate to measure fosfomycin. Capillary electrophoresis by the way of the indirect ultraviolet detection method was good enough to detect fosfomycin in the range of expected concentration in tissues, with the limit of quantitation (LOQ) of 1.25 ㎍/㎖. We recommend the eletrophoresis method could be used to detect fosfomycin, thereby being able to set the optimal dosage for animals and providing the measures in relation with the residual concentration in the meat.
Artificial neural network algorithm comparison for exchange rate prediction
Shin, Noo Ri,Yun, Dai Yeol,Hwang, Chi-gon The Institute of Internet 2020 International Journal of Internet, Broadcasting an Vol.12 No.3
At the end of 1997, the volatility of the exchange rate intensified as the nation's exchange rate system was converted into a free-floating exchange rate system. As a result, managing the exchange rate is becoming a very important task, and the need for forecasting the exchange rate is growing. The exchange rate prediction model using the existing exchange rate prediction method, statistical technique, cannot find a nonlinear pattern of the time series variable, and it is difficult to analyze the time series with the variability cluster phenomenon. And as the number of variables to be analyzed increases, the number of parameters to be estimated increases, and it is not easy to interpret the meaning of the estimated coefficients. Accordingly, the exchange rate prediction model using artificial neural network, rather than statistical technique, is presented. Using DNN, which is the basis of deep learning among artificial neural networks, and LSTM, a recurrent neural network model, the number of hidden layers, neurons, and activation function changes of each model found the optimal exchange rate prediction model. The study found that although there were model differences, LSTM models performed better than DNN models and performed best when the activation function was Tanh.