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Kim, Hyun Soo,Kim, Dong Yeong,Kwak, Ji Hye,Kim, Jong Hun,Choi, Moonkang,Hyung Kim, Do,Lee, Dong Woo,Kong, Dae Sol,Park, Jinhong,Jung, Sunshin,Lee, Gwan-Hyoung,Lee, Minbaek,Jung, Jong Hoon Elsevier 2019 Nano energy Vol.56 No.-
<P><B>Abstract</B></P> <P>Biomaterials and bioproducts have unique characteristics of being renewable, abundant, biodegradable, and having rough surfaces. In order to implement them into highly efficient triboelectric nanogenerator (TENG) applications, the contact electrode should be cheap, flexible, able to withstand outdoor environments, and have a rough surface. Here, microwave-welded single-walled carbon nanotubes (SWCNTs) are shown to effectively harvest the mechanical vibrational energy from biomaterials and bioproducts. Selective and flash microwave heating provides firm welding of SWCNTs to a polycarbonate substrate without significant losses in flexibility, transparency, and electrical conductivity. Microwave-welded SWCNT electrodes were successfully deployed as single-electrode TENGs to harvest energy from cellulose film, hanji paper, and cherry leaf. The cellulose- and paper-based TENGs showed the quite stable triboelectric outputs even after excessive contacts and a long period of time. The leaf-based TENG showed the significantly modified triboelectric outputs due to the moisture evaporation induced shrinkage and roughness of the surface. The SWCNT electrode generated ca. ten- and two-fold larger voltage and current, respectively, than those obtained using an indium-tin oxide (ITO) electrode. Using a fan-shaped leaf-based TENG, multiple light emitting diodes and a cellular phone were successfully powered without a battery. This work implies that the microwave-welded SWCNT electrode with rough pored surface and strong resistance against environmental shocks could be a good candidate for the outdoor biomaterials and indoor bioproducts implemented TENGs to harness random- and low-frequency vibrational energy.</P> <P><B>Highlights</B></P> <P> <UL> <LI> 1 Microwave welding of single-walled carbon nanotubes on a flexible substrate. </LI> <LI> 2 Rough and pored surface of SWCNT for increased contact area with cellulose, paper, and leaf. </LI> <LI> 3 Moisture evaporation dependent triboelectric outputs in leaf-based triboelectric nanogenerator. </LI> <LI> Powering multiple light emitting diodes and charging a cellular phone. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Kim, Yeon-Joo,Kim, Joo-Young,Lim, Do Hoon,Park, Hyeon Jin,Joo, Jungnam,Sung, Ki Woong,Shin, Hyung Jin,Kim, Seung-Ki,Phi, Ji Hoon,Kim, Il Han,Park, Kyung Duk,Ahn, Seung-do,Jung, Jinhong,Ra, Young-Shin M. Nijhoff ; Kluwer Academic Publishers 2013 Journal of neuro-oncology Vol.113 No.1
<P>We analyzed the treatment outcomes of intracranial ependymomas in Korean children aged <18 years. Data for 96 patients were collected from five hospitals. Survival rates were calculated using the Kaplan-Meier method. Log-rank tests for univariate analyses and Cox regression model for multivariate analysis were conducted to identify prognostic factors for survival. The median age of the patients was 4 years (range, 0.3-17.9 years). The median follow-up was 55 months (range, 2-343 months). Age <3 years was an important factor for selecting adjuvant therapy after surgery. Among children aged <3 and 3 years, adjuvant radiotherapy (RT) was applied to 55 and 84 %, respectively, and adjuvant chemotherapy to 52 and 10 %, respectively. The 5 year local progression-free survival (LPFS), disease-free survival (DFS), and overall survival (OS) rates were 54, 52, and 79 %, respectively. Gross total resection was the most significant prognostic factor for all survival endpoints. Age 3 years and RT were significant prognostic factors for superior LPFS and DFS. However, the significance of age was lost in multivariate analysis for DFS. LPFS, DFS, and OS were superior in patients who started RT within 44 days after surgery (the median time) than in patients who started RT later in the patients aged 3 years. Postoperative RT was a strong prognostic factor for intracranial ependymomas. Our results suggest that early use of RT is an essential component of treatment, and should be considered in young children.</P>
Kim, Su Jin,Cho, Jinhong,Song, Eun Joo,Kim, Soo Jin,Kim, Ho Min,Lee, Kyung Eun,Suh, Se Won,Kim, Eunice EunKyeong American Society for Biochemistry and Molecular Bi 2014 The Journal of biological chemistry Vol.289 No.18
<P>Valosin-containing protein (VCP), also known as p97, is an AAA<SUP>+</SUP> ATPase that plays an essential role in a broad array of cellular processes including the endoplasmic reticulum-associated degradation (ERAD) pathway. Recently, ERAD-specific deubiquitinating enzymes have been reported to be physically associated with VCP, although the exact mechanism is not yet clear. Among these enzymes is ovarian tumor domain-containing protein 1 (OTU1). Here, we report the structural basis for interaction between VCP and OTU1. The crystal structure of the ubiquitin regulatory X-like (UBXL) domain of OTU1 (UBXL<SUB>OTU1</SUB>) complexed to the N-terminal domain of VCP (N<SUB>VCP</SUB>) at 1.8-Å resolution reveals that UBXL<SUB>OTU1</SUB> adopts a ubiquitin-like fold and binds at the interface of two subdomains of N<SUB>VCP</SUB> using the <SUP>39</SUP>GYPP<SUP>42</SUP> loop of UBXL<SUB>OTU1</SUB> with the two prolines in <I>cis</I>- and <I>trans</I>-configurations, respectively. A mutagenesis study shows that this loop is not only critical for the interaction with VCP but also for its role in the ERAD pathway. Negative staining EM shows that one molecule of OTU1 binds to one VCP hexamer, and isothermal titration calorimetry suggests that the two proteins bind with a <I>K<SUB>D</SUB></I> of 0.71 μ<SMALL>m</SMALL>. Analytical size exclusion chromatography and isothermal titration calorimetry demonstrates that OTU1 can bind VCP in both the presence and absence of a heterodimer formed by ubiquitin fusion degradation protein 1 and nuclear localization protein 4.</P>
Kim, Jinhong,Kim, Seunghyeon,Song, Siwon,Park, Jae Hyung,Kim, Jin Ho,Lim, Taeseob,Pyeon, Cheol Ho,Lee, Bongsoo Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.10
In this study, one-dimensional gamma ray source positions are estimated using a plastic scintillating optical fiber, two photon counters and via data processing with a machine learning algorithm. A nonlinear regression algorithm is used to construct a machine learning model for the position estimation of radioactive sources. The position estimation results of radioactive sources using machine learning are compared with the theoretical position estimation results based on the same measured data. Various tests at the source positions are conducted to determine the improvement in the accuracy of source position estimation. In addition, an evaluation is performed to compare the change in accuracy when varying the number of training datasets. The proposed one-dimensional gamma ray source position estimation system with plastic scintillating fiber using machine learning algorithm can be used as radioactive leakage scanners at disposal sites.
다양한 센서 기반의 침입체 탐지, 분류 및 추적 알고리즘 개발
김원철(Wonchul Kim),임진홍(Jinhong Lim),김태완(Taewan Kim),손영동(Youngdong Son),김현진(H. Jin Kim),김진영(Jinyoung Kim),홍수연(Sooyoun Hong),김한동(Handong Kim) 제어로봇시스템학회 2017 제어·로봇·시스템학회 논문지 Vol.23 No.11
Surveillance is one of the major applications in wireless sensor network areas, and it is important to detect, classify and localize the targets. In this paper, we divide the research into two sections: (1) detecting and classifying the targets and (2) localizing them. To detect and classify multiple moving targets, we use acoustic and seismic sensors, and we analyze raw data from the sensors in both time and frequency domains. In this process, we must decide which features are useful for the classification to improve the performance and make it work in real time. Thus, we exploit Weibull likelihood and short-time Fourier transform (STFT) to extract the features as a sampling method. Then, we implement a support vector machine (SVM) and a neural network to classify the type of targets based on those features. Using the suggested algorithms, the proposed classifiers provide more accurate performance than the method that analyzes the raw data from only the frequency or time domain. For localization, Gaussian Process Regression (GPR) is used to estimate the relative location that corresponds to the received signal strength indication (RSSI) data. We also demonstrate the simultaneous localization with the process of detection and classification in real time. Finally, experimental results validate the suggested algorithm.
현대 딥러닝 네트워크의 과신뢰 문제 및 캘리브레이션 기법 연구
김지영(Ji Young Kim),김승년(Seungnyun Kim),김지섭(Jiseob Kim),김진홍(Jinhong Kim),김상태(Sangtae Kim),Khoa Anh Ngo,심병효(Byonghyo Shim) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
딥러닝(deep learning) 모델이 사용하는 학습 데이터와 시험 데이터의 도메인(domain)은 일반적으로 같다. 그러나 현실세계(real world)에서는 데이터 수집에 한계가 있으므로 모델은 모든 도메인의 데이터를 학습할 수 없다. 따라서 모델은 학습 데이터와 동일한 도메인의 시험 데이터(familiar data)는 물론, 학습 때 보지 못했던 도메인의 시험 데이터(unfamiliar data)에도 강인해야 하며, 신뢰도 추정이 올바르게 이루어져야 한다. 본 연구진은 familiar/unfamiliar 상황에서의 성별분류(gender recognition) 실험을 진행하고, T-SNE을 분석하였다.
An Mi-Jin,Lee Hyun Min,Kim Chul-Hong,Shin Geun-Seup,Jo Ah-Ra,Kim Ji-Young,Kim Mi Jin,Kim Jin Ho,Park Jinhong,Hwangbo Yujeong,Kim Jeongkyu,Kim Jung-Woong 한국유전학회 2023 Genes & Genomics Vol.45 No.4
Background The transcription factor orthodenticle homeobox 2 (OTX2) has critical functions in brain and eye development, and its mutations in humans are related to retinal diseases, such as ocular coloboma and microphthalmia. However, the regulatory mechanisms of OTX2 are poorly identified. Objective The identification of JNK1 as an OTX2 regulatory protein through the protein interaction and phosphorylation. Methods To identify the binding partner of OTX2, we performed co-immunoprecipitation and detected with a pooled antibody that targeted effective kinases. The protein interaction between JNK1 and OTX2 was identified with the co-immunoprecipitation and immunocytochemistry. In vivo and in vitro kinase assay of JNK1 was performed to detect the phosphorylation of OTX2 by JNK1. Results JNK1 directly interacted with OTX2 through the transactivation domain at the c-terminal region. The protein–protein interaction and co-localization between JNK1 and OTX2 were further validated in the developing P0 mouse retina. In addition, we confirmed that the inactivation of JNK1 K55N mutant significantly reduced the JNK1-mediated phosphorylation of OTX2 by performing an immune complex protein kinase assay. Conclusion c-Jun N-terminal kinase 1 (JNK1) phosphorylates OTX2 transcription factor through the protein–protein interaction.