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Sumin Oh,Yang-Hyun Baek,Sungju Jung,Sumin Yoon,Byeonggeun Kang,Su-hyang Han,Gaeul Park,Je Yeong Ko,Sang-Young Han,Jin-Sook Jeong,Jin-Han Cho,Young-Hoon Roh,Sung-Wook Lee,Gi-Bok Choi,Yong Sun Lee,Won K 대한간학회 2024 Clinical and Molecular Hepatology(대한간학회지) Vol.30 No.2
Background/Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by fat accumulation in the liver. MASLD encompasses both steatosis and MASH. Since MASH can lead to cirrhosis and liver cancer, steatosis and MASH must be distinguished during patient treatment. Here, we investigate the genomes, epigenomes, and transcriptomes of MASLD patients to identify signature gene set for more accurate tracking of MASLD progression. Methods: Biopsy-tissue and blood samples from patients with 134 MASLD, comprising 60 steatosis and 74 MASH patients were performed omics analysis. SVM learning algorithm were used to calculate most predictive features. Linear regression was applied to find signature gene set that distinguish the stage of MASLD and to validate their application into independent cohort of MASLD. Results: After performing WGS, WES, WGBS, and total RNA-seq on 134 biopsy samples from confirmed MASLD patients, we provided 1,955 MASLD-associated features, out of 3,176 somatic variant callings, 58 DMRs, and 1,393 DEGs that track MASLD progression. Then, we used a SVM learning algorithm to analyze the data and select the most predictive features. Using linear regression, we identified a signature gene set capable of differentiating the various stages of MASLD and verified it in different independent cohorts of MASLD and a liver cancer cohort. Conclusions: We identified a signature gene set (i.e., CAPG, HYAL3, WIPI1, TREM2, SPP1, and RNASE6) with strong potential as a panel of diagnostic genes of MASLD-associated disease.
Incremental Online Learning of Robot Behaviors From Selected Multiple Kinesthetic Teaching Trials
Sumin Cho,Sungho Jo IEEE 2013 IEEE transactions on systems, man, and cybernetics Vol.43 No.3
<P>This paper presents a new approach to the incremental online learning of behaviors by a robot from multiple kinesthetic teaching trials. The approach enables a robot to refine and reproduce a specific behavior every time a new teaching trial is provided and to decide autonomously whether to accept or reject each trial. The robot neglects bad teaching trials and learns a behavior based on adequate teaching trials. The framework of this approach consists of the projection of motion data to a latent space and the description of motion data in a Gaussian mixture model (GMM). To realize the incremental online learning, the latent space and the GMM are refined incrementally after each proper teaching trial. The trial data are discarded after being used. The number of Gaussian components in the GMM is not initially fixed but is autonomously selected by the robot over the trials. The proposed method is more suitable for practical human-robot interaction. The experiments with a humanoid robot show the feasibility of the approach. We demonstrate that the robot can incrementally refine and reproduce learned behaviors that accurately represent the essential characteristics of the teaching trials through our learning algorithm and that it can reject erroneous teaching trials to improve learning performance.</P>
3D nanostructured N-doped TiO<sub>2</sub> photocatalysts with enhanced visible absorption
Cho, Sumin,Ahn, Changui,Park, Junyong,Jeon, Seokwoo The Royal Society of Chemistry 2018 Nanoscale Vol.10 No.20
<P>Considering the environmental issues, it is essential to develop highly efficient and recyclable photocatalysts in purification systems. Conventional TiO2 nanoparticles have strong intrinsic oxidizing power and high surface area, but are difficult to collect after use and rarely absorb visible light, resulting in low photocatalytic efficiency under sunlight. Here we develop a new type of highly efficient and recyclable photocatalyst made of a three-dimensional (3D) nanostructured N-doped TiO2 monolith with enhanced visible light absorption. To prepare the sample, an ultrathin TiN layer (∼10 nm) was conformally coated using atomic layer deposition (ALD) on 3D nanostructured TiO2. Subsequent thermal annealing at low temperature (550 °C) converted TiN to anatase phase N-doped TiO2. The resulting 3D N-doped TiO2 showed ∼33% enhanced photocatalytic performance compared to pure 3D TiO2 of equivalent thickness under sunlight due to the reduced bandgap, from 3.2 eV to 2.75 eV through N-doping. The 3D N-doped TiO2 monolith could be easily collected and reused at least 5 times without any degradation in photocatalytic performance.</P>
Kinesthetic Learning of Behaviors in a Humanoid Robot
Sumin Cho,Sungho Jo 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
This work presents an approach for learning of behaviors by kinesthetic teaching in a humanoid robot. The approach enables the robot to improve and reproduce a specific behavior incrementally every time a new teaching trial is provided, and therefore, it is more suitable for real-world human-robot interaction. The algorithm consists of projection of motion data to a latent space and description of motion data in a Gaussian Mixture Model (GMM). The latent space and GMM can be refined incrementally after each kinesthetic teaching. The number of components in the GMM is adjusted accordingly in a real-time manner. Experiments with a Nao humanoid robot show the feasibility of the approach. We demonstrate that the robot can reproduce learned behaviors well through continuous kinesthetic trials.
실시간 헬스케어 모니터링의 독립 구동을 위한 접촉대전 발전과 전자기 발전 원리의 융합
조수민 ( Sumin Cho ),정윤수 ( Yoonsu Joung ),김현수 ( Hyeonsu Kim ),박민석 ( Minseok Park ),이동한 ( Donghan Lee ),감동익 ( Dongik Kam ),장순민 ( Sunmin Jang ),라윤상 ( Yoonsang Ra ),차경제 ( Kyoung Je Cha ),김형우 ( Hyung Woo Kim 한국화학공학회 2022 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.60 No.1
최근 COVID-19 팬데믹 등 다양한 이유로 인해 바이오 헬스케어 시장이 전세계적으로 활성화되고 있다. 그 중, 생체정보 측정 및 분석 기술은 앞으로의 기술적 혁신성과 사회경제적 파급효과를 불러일으킬 것으로 예측된다. 기존의 시스템은 생체 신호를 받아 신호 처리를 하는 과정에서 신호 송×수신부, 운영체제, 센서, 그리고 인터페이스를 구동하기 위한 대용량 배터리를 필수적으로 요구한다. 하지만, 배터리 용량의 한계가 인해 시×공간적인 기기 사용의 제한을 야기하며, 이는 사용자의 헬스케어 모니터링에 필요한 데이터의 단절에 대한 원인으로 작용할 수 있으므로 헬스케어 디바이스의 큰 걸림돌 중의 하나이다. 본 연구에서는 생체정보 측정 장치에 접촉대전 효과(Triboelectric effects)와 전자기유도 효과(Electro-magnetic effects)를 융합하여, 외부 전원을 요구하지 않는 독립 구동이 가능한 시스템을 구성하여 시×공간적으로 사용 제한이 없는 소형 생체정보 측정 모듈을 설계 및 검증했다. 특히, 다양한 헬스케어 모니터링 중 족압 계측을 통해 사용자의 보행 습관 등을 파악할 수 있는 무선 족압 계측 모니터링 시스템을 검증했다. 보행 시 발생하는 접촉×분리 움직임에서 접촉대전 효과를 이용한 효과적인 압력 센서와 압력에 따른 전기적 출력신호를 통해 족압 센서를 만들고, 축전기를 이용한 신호처리 회로를 통해 이의 동적 거동을 계측할 수 있다. 또한, 출력된 전기신호의 무선 송×수신용 전원으로 사용하기 위해 전자기 유도 효과를 이용하여 보행 시 생기는 생체역학적 에너지를 전기에너지로 수확했다. 따라서, 이번 연구는 사용자가 제한적인 배터리 용량 때문에 생기는 충전에 대한 불편함을 줄일 수 있고, 뿐만 아니라 데이터 단절에 대한 문제점을 극복할 수 있 Recently, the bio-healthcare market is enlarging worldwide due to various reasons such as the COVID-19 pandemic. Among them, biometric measurement and analysis technology are expected to bring about future technological innovation and socio-economic ripple effect. Existing systems require a large-capacity battery to drive signal processing, wireless transmission part, and an operating system in the process. However, due to the limitation of the battery capacity, it causes a spatio-temporal limitation on the use of the device. This limitation can act as a cause for the disconnection of data required for the user's health care monitoring, so it is one of the major obstacles of the health care device. In this study, we report the concept of a standalone healthcare monitoring module, which is based on both triboelectric effects and electromagnetic effects, by converting biomechanical energy into suitable electric energy. The proposed system can be operated independently without an external power source. In particular, the wireless foot pressure measurement monitoring system, which is rationally designed triboelectric sensor (TES), can recognize the user’s walking habits through foot pressure measurement. By applying the triboelectric effects to the contact-separation behavior that occurs during walking, an effective foot pressure sensor was made, the performance of the sensor was verified through an electrical output signal according to the pressure, and its dynamic behavior is measured through a signal processing circuit using a capacitor. In addition, the biomechanical energy dissipated during walking is harvested as electrical energy by using the electromagnetic induction effect to be used as a power source for wireless transmission and signal processing. Therefore, the proposed system has a great potential to reduce the inconvenience of charging caused by limited battery capacity and to overcome the problem of data disconnection.
Detection of novel QTLs for foxglove aphid resistance in soybean
Sumin Park,Ju Seok Lee,Sungmin Kim,Kyungryun Kim,Mijung Cho,Eunsil Kim,Jin Kyo Jung,Jeong-Dong Lee,Sungtaeg Kang 한국육종학회 2015 한국육종학회 심포지엄 Vol.2015 No.07
Foxglove aphid, Aulacorthum solani (Kaltenbach), is a Hemipteran insect that infected a wide variety of plants worldwide and caused serious yield losses in crops. The objective of this study was to identify the putative QTL for foxglove aphid resistance in wild soybean, PI 366121, (Glycine soja Sieb. and Zucc.). One hundred and forty one F2-derived F8 recombinant inbred lines developed from a cross of susceptible Williams 82 and resistant PI 366121, were used. The phenotyping of antibiosis and antixenosis was done through choice and no-choice assays with total plant damage (TPD) and primary infestation leaf damage (PLD); a genome-wide molecular linkage map was constructed with 504 single nucleotide polymorphism markers utilizing a GoldenGate assay. Using inclusive composite interval mapping analysis for foxglove aphid resistance, one major candidate QTL on chromosome 7 and 3 minor QTL regions on chromosome 3, 6 and 18 were identified. The major QTL on chromosome 7 showed both antixenosis and antibiosis resistance responses. However, the minor QTLs showed only antixenosis resistance response. The major QTL mapped to a different chromosome than the previously identified foxglove aphid resistance QTL, Raso1, from the cultivar Adams. Also, the responses to the Korea biotype foxglove aphid were different for Raso1, and the gene from PI 366121 against the Korea biotype foxglove aphid were different. Thus the foxglove aphid resistance gene from PI 366121 was determined to be an independent gene to Raso1 and designated to Raso2. This result could be useful in breeding for new foxglove aphid resistant soybean cultivars.