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Kim, Yeonghwan,Jang, Miran,Lim, Sangbin,Won, Hyeran,Yoon, Kyung‐,Sik,Park, Jae‐,Hoon,Kim, Hyo Jong,Kim, Byung‐,Ho,Park, Won‐,Sang,Ha, Joohun,Kim, Sung‐,Soo Wiley Subscription Services, Inc., A Wiley Company 2011 Hepatology Vol.54 No.5
<P><B>Abstract</B></P><P>Cyclophilin B (CypB) performs diverse roles in living cells, but its role in hepatocellular carcinoma (HCC) is largely unclear. To reveal its role in HCC, we investigated the induction of CypB under hypoxia and its functions in tumor cells <I>in vitro</I> and <I>in vivo</I>. Here, we demonstrated that hypoxia‐inducible factor 1α (HIF‐1α) induces CypB under hypoxia. Interestingly, CypB protected tumor cells, even p53‐defective HCC cells, against hypoxia‐ and cisplatin‐induced apoptosis. Furthermore, it regulated the effects of HIF‐1α, including those in angiogenesis and glucose metabolism, via a positive feedback loop with HIF‐1α. The tumorigenic and chemoresistant effects of CypB were confirmed <I>in vivo</I> using a xenograft model. Finally, we showed that CypB is overexpressed in 78% and 91% of the human HCC and colon cancer tissues, respectively, and its overexpression in these cancers reduced patient survival. <I>Conclusions:</I> These results indicate that CypB induced by hypoxia stimulates the survival of HCC via a positive feedback loop with HIF‐1α, indicating that CypB is a novel candidate target for developing chemotherapeutic agents against HCC and colon cancer. (H<SMALL>EPATOLOGY</SMALL> 2011;).</P>
( Sangbin Kim ),( Giwon Kim ),( Junesun Kim ) 대한물리치료학회 2015 대한물리치료학회지 Vol.27 No.4
Purpose: The purpose of this study was to investigate the availability of software for rehabilitation with the Kinect sensor by presenting an efficient algorithm based on machine learning when classifying the motion data of the PNF pattern if the subjects were wearing a patient gown. Methods: The motion data of the PNF pattern for upper extremities were collected by Kinect sensor. The data were obtained from 8 normal university students without the limitation of upper extremities. The subjects, wearing a T-shirt, performed the PNF patterns, D1 and D2 flexion, extensions, 30 times; the same protocol was repeated while wearing a patient gown to compare the classification performance of algorithms. For comparison of performance, we chose four algorithms, Naive Bayes Classifier, C4.5, Multilayer Perceptron, and Hidden Markov Model. The motion data for wearing a T-shirt were used for the training set, and 10 fold cross-validation test was performed. The motion data for wearing a gown were used for the test set. Results: The results showed that all of the algorithms performed well with 10 fold cross-validation test. However, when classifying the data with a hospital gown, Hidden Markov model (HMM) was the best algorithm for classifying the motion of PNF. Conclusion: We showed that HMM is the most efficient algorithm that could handle the sequence data related to time. Thus, we suggested that the algorithm which considered the sequence of motion, such as HMM, would be selected when developing software for rehabilitation which required determining the correctness of the motion.
Kim, Sangbin,Kim, Giwon,Kim, Junesun 대한물리치료학회 2015 대한물리치료학회지 Vol.27 No.4
Purpose: The purpose of this study was to investigate the availability of software for rehabilitation with the Kinect sensor by presenting an efficient algorithm based on machine learning when classifying the motion data of the PNF pattern if the subjects were wearing a patient gown. Methods: The motion data of the PNF pattern for upper extremities were collected by Kinect sensor. The data were obtained from 8 normal university students without the limitation of upper extremities. The subjects, wearing a T-shirt, performed the PNF patterns, D1 and D2 flexion, extensions, 30 times; the same protocol was repeated while wearing a patient gown to compare the classification performance of algorithms. For comparison of performance, we chose four algorithms, Naive Bayes Classifier, C4.5, Multilayer Perceptron, and Hidden Markov Model. The motion data for wearing a T-shirt were used for the training set, and 10 fold cross-validation test was performed. The motion data for wearing a gown were used for the test set. Results: The results showed that all of the algorithms performed well with 10 fold cross-validation test. However, when classifying the data with a hospital gown, Hidden Markov model (HMM) was the best algorithm for classifying the motion of PNF. Conclusion: We showed that HMM is the most efficient algorithm that could handle the sequence data related to time. Thus, we suggested that the algorithm which considered the sequence of motion, such as HMM, would be selected when developing software for rehabilitation which required determining the correctness of the motion.
StretchArms: Promoting Stretching Exercise with a Smartwatch
Kim, SangBin,Lee, SinJae,Han, JungHyun Taylor Francis 2018 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTIO Vol.34 No.3
<P>A smartwatch is a wearable computer equipped with sensors. It can be used to provide fitness- or healthcare-related functionalities. This article presents three versions of a smartwatch application for prompting a user to stretch during the user's daily life. The first version just reminds periodically the user that it is time to stretch and then guides the stretching motion. In contrast, the second version evaluates how correctly the stretching motion is made and provides success/fail feedback for the user. The third version adds gamification elements to the second version. With these three versions, an elaborate user study was performed with 42 participants. The results show that the reminders were effective in relaxing the mental/muscular tension of the users and the motion evaluation feedback encouraged the users to stretch more. In contrast, the effectiveness of gamification was not proven. This is the first study to prompt stretching exercise and evaluate it with a smartwatch. It can help develop effective healthcare applications on wearable devices.</P>
임상빈(Sangbin Lim),김봉오(Bong-O Kim),김수현(Soo-Hyun Kim),목철균(Chulkyoon Mok),박영서(Young-Seo Park) 한국식품영양과학회 2001 한국식품영양과학회지 Vol.30 No.4
고추장을 열(80℃/30분)과 초고압(73℃/680 MPa/30분)으로 처리한 후 37℃에서 120일간 저장하면서 생균수와 품질변화를 측정하였다. 처리 직후 생균수는 열처리군이 1.43×10^6 CFU/g, 초고압 처리군이 1.56×10³ CFU/g으로 무처리군의 3.78×10^6 CFU/g과 비교하여 볼 때 열처리에 의한 미생물 살균효과는 미약하였으나, 초고압 처리로 생균수를 약 3 log cycle 감소시킬 수 있었다. 고추장의 생균수는 저장기간에 따라 감소하였다. 무처리군은 저장 초기에 3.78×10^6 CFU/g에서 저장 120일에는 5.43×10⁴ CFU/g으로 약 2 log cycle 감소하였고, 열처리군은 저장 초기에 1.43×10^6 CFU/g에서 저장 120일에는 3.10×10² CFU/g으로 약 4 log cycle 감소한 반면, 초고압 처리군은 처리 직후 1.56×10³ CFU/g에서 저장 90일 후에는 검출되지 않았다. 고추장의 pH는 저장기간에 따라 유의적으로 감소하였다. 고추장의 적정산도는 저장기간에 따라 유의적으로 증가하였으며, 초고압 처리군은 무처리군보다는 낮은 값을, 열처리군보다는 높은 값을 유지하였다. 고추장의 아미노태질소 함량은 저장기간에 따라 유의적으로 감소 하였으며, 초고압 처리군은 열처리군보다는 높은 값을, 무처리군보다는 낮은 값을 유지하였다. 고추장의 저장 중 환원당과 에탄올 함량은 처리방법에 관계없이 저장기간에 따라 유의적으로 차이가 없었다. 고추장의 Hunter L, a, b값은 저장 기간에 따라 유의적으로 감소하여 흑변하는 현상을 관찰할 수 있었으며, 무처리 고추장은 열처리군과 초고압 처리군에 비하여 변색의 정도가 심하였으나, 초고압 처리군은 열처리군과 유사한 경향을 나타내었다. Effects of high pressure and thermal pasteurization on the survival of microorganisms and quality changes of kochujang during 120 days of storage at 37℃ were investigated. Viable cell counts were 1.43×10^6 CFU/g in heat-treated, and 1.56×10³ CFU/g in pressure-treated, and decreased up to 3 log cycle, compared with 3.78×10^6 CFU/g in the untreated kochujang. Viable cell counts decreased by the storage period at 37℃. Viable cell counts decreased up to 2 log cycle from 3.78×10^6 to 5.43×10⁴ CFU/g in the untreated kochujang, 4 log cycle from 1.43×10^6 to 3.10×10² CFU/g in heat-treated after 120 days of storage, while those in pressure-treated were not detected after 90 days from the initial stage of 1.56×10³ CFU/g. pH decreased significantly by the storage time. Titratable acidity increased significantly during storage, and pressure-treated kochujang showed lower values than the untreated and higher values than heat-treated. Amino nitrogen content decreased significantly during storage, and pressure-treated kochujang showed higher values than heat-treated and lower values than the untreated. There were no significant changes in reducing sugar and ethanol content regardless of the treatment condition and the storage period. Hunter L, a and b values decreased significantly during storage. In the untreated kochujang, the changes in color accelerated compared with heat and pressure-treated.
Ye Seul Kim,이수용,Jung Won Yoon,Dasol Kim,Sangbin Yu,김정수,김재호 생화학분자생물학회 2020 BMB Reports Vol.53 No.10
Combination therapy using chloroquine (CQ) and azithromycin (AZM) has drawn great attention due to its potential anti-viral activity against SARS-CoV-2. However, clinical trials have revealed that the co-administration of CQ and AZM resulted in severe side effects, including cardiac arrhythmia, in patients with COVID-19. To elucidate the cardiotoxicity induced by CQ and AZM, we examined the effects of these drugs based on the electrophysiological properties of human embryonic stem cellderived cardiomyocytes (hESC-CMs) using multi-electrode arrays. CQ treatment significantly increased the field potential duration, which corresponds to prolongation of the QT interval, and decreased the spike amplitude, spike slope, and conduction velocity of hESC-CMs. AZM had no significant effect on the field potentials of hESC-CMs. However, CQ in combination with AZM greatly increased the field potential duration and decreased the beat period and spike slope of hESC-CMs when compared with CQ monotherapy. In support of the clinical data suggesting the cardiovascular side effects of the combination therapy of CQ and AZM, our results suggest that AZM reinforces the cardiotoxicity induced by CQ in hESC-CMs.