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Ham, Jun-Sang,Lee, Seung-Gyu,Jeong, Seok-Geun,Oh, Mi-Hwa,Kim, Dong-Hun,Lee, Tae-Heon,Lee, Bo-Young,Yoon, Sook-Hee,Kim, Hee-Bal Korean Society for Molecular and Cellular Biology 2010 Molecules and cells Vol.30 No.1
Staphylococcus aureus is an important human pathogen responsible for life-threatening septicemia, endocarditis, and toxic shock syndrome. Although positive (MRSA; ATCC 33591) and negative (MSSA; ATCC 25923) control strains have been used for various pathogenesis or assay studies, little is known about the genomic structure of the strains, and there has been little genome-wide expression analysis. Phylogenetic analyses revealed that ATCC 33591 and ATCC 25923 are the most genetically diverse strains of the 15 S. aureus genomes studied. Microarray analysis showed that the most significantly upregulated group of MRSA genes was the transport group, which includes ATP-binding cassette (ABC) transporters, the two-component system, and the phosphotransferase system. Analysis of the KEGG pathway showed that ABC transporters and the two-component system were the most significantly altered in MRSA. Transcriptional profiling showed a clear difference in gene expression between MRSA and MSSA due to the great genetic distance between the two control strains. Therefore, we suggest that use of the two control strains in comparative genomics or transcriptomics studies would facilitate the identification of major genes for drug resistance in S. aureus.
Gyu-Sung Ham,Mingoo Kang,Su-Chong Joo 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.8
We had researched an automatic authentication-supported medical information platform[6]. The proposed automatic authentication consists of user authentication and mobile terminal authentication, and the authentications are performed simultaneously in patients’ emergency conditions. In this paper, we studied on finding emergency conditions for the automatic authentication by applying big data processing and AI mechanism on the extended medical information platform with an added edge computing system. We used big data processing, SVM, and 1-Dimension CNN of AImechanism to find emergency conditions as authentication means considering patients’ underlying diseases such as hypertension, diabetes mellitus, and arrhythmia. To quickly determine a patient’s emergency conditions, we placed edge computing at the end of the platform. The medical information server derives patients’ emergency conditions decision values using big data processing and AI mechanism and transmits the values to an edge node. If the edge node determines the patient emergency conditions, the edge node notifies the emergency conditions to the medical information server. The medical server transmits an emergency message to the patient’s charge medical staff. The medical staff performs the automatic authentication using a mobile terminal. After the automatic authentication is completed, the medical staff can access the patient’s upper medical information that was not seen in the normal condition.
Ham, Jun-Sang,Lee, Seung-Gyu,Kim, Min-Kyung,Oh, Mi-Hwa,Jeong, Seok-Geun,Kim, Dong-Hun,Lee, Se-Hyung,Chae, Jong-Pyo,Lee, Ji-Yoon,Kang, Dae-Kyung Asian Australasian Association of Animal Productio 2010 Animal Bioscience Vol.23 No.9
The aim of this study was to screen lactic acid bacteria for the fermentation of garlic and to assess the increase in inhibitory activity of garlic fermented against antibiotic-resistant pathogens for use as an animal feed supplement. We screened 45 strains of lactobacillus for the fermentation of garlic. Of these strains, 23 showed similar growth rates with or without allicin. Cultures of the 23 strains were mixed with an equivalent amount of garlic juice and incubated overnight at $37^{\circ}C$. The three strains with the lowest pH values were Lactobacillus paracasei KCTC 3169, L5 strain, and L. reuteri SW. Garlic juice fermented by the L5 strain more strongly inhibited antibiotic-resistant pathogenic bacteria than L. paracasei KCTC 3169, L. reuteri SW, or garlic juice itself. By examining carbohydrate utilization, morphologic properties and 16S rRNA gene sequences, we identified the L5 strain as Pediococcus pentosaceus and deposited it in the name of P. pentosaceus KACC 91419 into the Korea Agricultural Culture Collection. To identify the antimicrobial compound from the garlic filtrate fermented by P. pentosaceus KACC 91419, we fractionated P. pentosaceus KACC 91419 culture on a C18 column and checked the antimicrobial activity of fractions A6 to A10. Only fraction A9 showed inhibitory activity on Staphylococcus aureus. Comparing the mass spectra of the fractions with and without antimicrobial activity, we observed a single dominant product ion (m/z 157.99) from the fraction showing antimicrobial activity. Its molecular mass (157.99) was 2 atomic mass units less than that of allicin (162.02). This suggests that allicin might be converted to its derivative, which has antimicrobial activity, during fermentation by P. pentosaceus KACC 91419.
Gyu-Sung Ham,Mingoo Kang,Suck-Tae Joung,Su-Chong Joo 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4
Recently, with the development of IoT, AI, and mobile terminals, medical information platforms are expanding. The medical information platform can determine a patient's emergency situation, and medical staff can easily access patient information through a mobile terminal. However, in the existing platform, emergency situation decision is delayed, and faster and stronger authentication is required in emergency situations. Therefore, we propose an edge computing-based medical information platform for automatic authentication using patient situations. We design an edge computing-based medical information platform architecture capable of rapid transmission of biometric data of IoT and quick emergency situation decision, and implement the platform data flow in emergency situations. Relying on this platform, we propose the automatic authentication using patient situations. The automatic authentication protects patient information through patient-centered authentication by using the patient's situation as an authentication factor, and enables quick authentication by automatically proceeding with mobile terminal authentication after user authentication in emergencies without user intervention. We compared the proposed platform with existing platforms to show that it can make quick and stable emergency decisions. In addition, comparing the automatic authentication with existing authentication showed that it is fast and protects medical information centered on patient situations in emergency situations.
환자 의료정보 접근을 위한 상황인식 기반의 인증서비스 모델 개발
함규성 ( Gyu-sung Ham ),주수종 ( Su-chong Joo ) 한국인터넷정보학회 2021 인터넷정보학회논문지 Vol.22 No.1
최근 유비쿼터스 기반의 의료 및 헬스케어 환경이 구축됨에 따라 다양한 센서들로부터 상황정보를 얻을 수 있는 의료정보시스템이 증가되고 있다. 이러한 상황인식 기반의 의료정보시스템 환경에서는 상황정보를 이용하여 환자상황을 정상 또는 응급으로 판별이 가능하며, 또한 의료진은 스마트기기의 애플리케이션을 통해 ID와 Password를 이용한 간단한 사용자인증이후 환자정보에 쉽게 접근이 가능하다. 그러나 이러한 인증서비스 및 환자정보접근서비스는 의료진 중심의 시스템이며, 유비쿼터스 기반의 의료정보시스템 환경을 충분히 고려하지 못한다. 이에 본 논문에서는 의료정보에 접근하는 사용자에 대해 기존 의료진 중심의 인증과는 달리 상황정보 중심의 인증서비스를 제공하기 위한 상황인식 기반의 인증서비스 모델을 제시하고 구현하였다. 본 논문에서 제안한 상황인식 기반의 인증서비스 모델은 센서들을 통해 환자상황을 인식하여 환자상황에 의하여 의료진의 인증방식 및 권한부여를 다르게 진행하는 서비스이다. 다양한 상황정보 측정환경을 구성하기 위해 웨어러블 및 생체데이터측정모듈, 카메라센서 등을 이용하여 구현하였다. 환자상황이 응급상황일 경우, 의료정보서버는 담당의료진의 스마트기기에 응급메시지를 전송하고, 응급메시지를 받은 담당의료진은 환자정보에 접근하기 위해 스마트기기의 애플리케이션을 이용하여 인증을 시도한다. 모든 인증이 완료되면 의료진은 상위등급 의료정보 접근권한을 부여받아 정상상황에서 볼 수 없었던 환자 의료정보까지 확인이 가능하도록 하였다. 제안한 상황인식 기반의 인증서비스 모델을 통하여 유비쿼터스 의료정보시스템 환경을 충분히 고려할 뿐만 아니라, 환자중심의 시스템적인 보안 및 접근투명성을 강화하였다. With the recent establishment of a ubiquitous-based medical and healthcare environment, the medical information system for obtaining situation information from various sensors is increasing. In the medical information system environment based on context-awareness, the patient situation can be determined as normal or emergency using situational information. In addition, medical staff can easily access patient information after simple user authentication using ID and Password through applications on smart devices. However, these services of authentication and patient information access are staff-oriented systems and do not fully consider the ubiquitous-based healthcare information system environment. In this paper, we present a authentication service model based context-awareness system for providing situational information-driven authentication services to users who access medical information, and implemented proposed system. The authentication service model based context-awareness system is a service that recognizes patient situations through sensors and the authentication and authorization of medical staff proceed differently according to patient situations. It was implemented using wearables, biometric data measurement modules, camera sensors, etc. to configure various situational information measurement environments. If the patient situation was emergency situation, the medical information server sent an emergency message to the smart device of the medical staff, and the medical staff that received the emergency message tried to authenticate using the application of the smart device to access the patient information. Once all authentication was completed, medical staff will be given access to high-level medical information and can even checked patient medical information that could not be seen under normal situation. The authentication service model based context-awareness system not only fully considered the ubiquitous medical information system environment, but also enhanced patient-centered systematic security and access transparency.