• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.9 no.2
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• pp.209-217
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• 1998

Object：The purpose of this study was to investigate that infection with group $A[{\beta}]$ hemolytic streptococcus may associate the mechanisms that cause or exacerbate the tic symptoms in some cases of Tourette's disorder Method：Fourteen cases with abrupt worsening of tics participated in this study：10 males,4 females. The subjects were divided into two groups composing of the group with increasing level of ASO titer and the group with normal level of ASO titer. The subjects were administered Yale Global Tic Severity Scale(YGTSS). Result：The global severity scores and overall TS impairment rating scores of YGTSS in the group with increasing level of ASO titer were more higher than in the group with normal level of ASO titer Conclusion：These results suggest that increasing level of ASO titer, resulting from group $A[{\beta}]$ hemolytic streptococcal infection has affected worsening the tic symptoms in Touette's disorder.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.3
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• pp.217-224
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• 2016

Acinetobacter baumannii (A. baumannii) is prevalent in hospital environments and is an important opportunistic pathogen of nosocomial infection. It is known that this pathogen cause herd infection in hospitals, and the mortality rate is remarkably higher for patients infected with this pathogen and already have other underlying diseases. Herein, we investigated the antibiotic resistance rate and the type of resistance genes in 85 isolates of multi-drug resistant A. baumannii from the samples commissioned to laboratory medicine in two university hospitals-in hospital A and hospital B-located in Cheonan and Chungcheong provinces, respectively, in Korea. As a result, $bla_{OXA-23-like}$ and $bla_{OXA-51-like}$ were detected in 82 stains (96.5%). These 82 strains of $bla_{OXA-23-like}$ producing A. baumannii were confirmed with the ISAba1 gene found at the top of the $bla_{OXA-23-like}$ genes by PCR, inducing the resistance against carbapenemase. The armA, AME gene that induces the resistance against aminoglycoside was detected in 34 strains out of 38 strains from Hospital A (89.5%), and in 40 strains out of 47 strains from Hospital B (85.1%), while AMEs were found in 33 strains out of 38 strains from Hospital A (70.2%) and in 44 strains out of 47 strains in Hospital B (93.6%). Therefore, it was found that most multi-drug resistant A. baumannii from the Cheonan area expressed both acethyltransferase and adenyltransferase. This study investigated the multi-drug resistant A. baumannii isolated from Cheonan and Chungcheong provinces in Korea, and it is thought that the results of the study can be utilized as the basic information to cure multi-drug resistant A. baumannii infections and to prevent the spread of drug resistance.

• Parasites, Hosts and Diseases
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• v.29 no.3
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• pp.245-258
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• 1991

In order to determine the antigenic localization in the tissues of the adult Metagonimus yokegawai, immunogoldlabeling method was applied using serum immunoglobulins (IgG) of cats which were infected with isolated metacercariae from Plecoglossus altivelis. The sectioned worm tissue was embedded in Lowicryl HM 20 medium and stained with infected serum IgG and protein A gold complex (particle size: 12 nm) , It was observed by electron microscopy at each tissue of the worm. The gold particles were observed on the tegumental syncytium as well as cytoplasm of tegumental cells and epithelial lamella of the caecum. The gold particles were not observed on the basal lamina of the tegument, interstitial matrix of the parenchyma, the muscle tissue and mitochondria of the tegument. The gold particles were specifically labeled in the secretory granules in the vitelline cells. They were also labeled on the lumen of bladder and egg shell. The above findings showed that antigenic materials in the tissue of adult worms were specifically concentrated on the tegumental syncytium as well as cytoplasm of tegumental cells and epithelial lamella of the caecum.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.3
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• pp.379-389
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• 2022

The number of public transportation users has dropped drastically due to COVID-19. In this work, my survey was conducted to uncover the factors that influence citizens' travel patterns. Data were collected and logistic regression analysis on the shifts in transportation was undertaken. Additionally, an importance-performance analysis was carried out to investigate how to effectively operate public transportation systems and improve facilities. The main research findings were as follows: First, the more individuals were concerned about COVID-19 (+) and being infected when using public transportation (+), the greater the tendency to switch to private transportation modes. Secondly, when it came to personal traits, respondents who could drive a car (+) or owned a car (+)or did more online shopping (+) or used public transportation for trips (+) tended to switch over, compared with respondents who could not drive or did not own a caror used public transportation to commute. In addition, respondents who were vaccinated (-) or had more household members tended not to switch transportation modes, compared with those who were not vaccinated or had fewer household members. Third, it is important to continue the following efforts to safeguardhygiene linked to public transportation: wearing masks, disinfecting hands, controlling diseases, and general cleaning. The conclusion was that it is important to put traffic congestion and ventilation issues first, especially in regards public transportation, which was not rated as satisfactory enough compared to its importance. The research findings can provide useful basic data when establishing countermeasures to the current COVID-19 circumstances in the areas of public transportation operation and management and in the event of an infectious disease outbreak in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.323-326
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• 2020

본 논문은 COVID-19 유증상자를 사전에 판별해 유증상자의 시설 출입을 제한하고, 비접촉 인증 방식인 RFID, 얼굴인식을 사용해 시설 내 COVID-19 집단 감염을 예방하는 시설 관리 스마트 도어록을 제안한다. 기존 디지털 도어록 및 스마트 도어록은 가정용으로 개발되어 많은 사람이 이용하는 다중 시설에서 사용하기에 불편하다. 본 연구에서 구현한 도어록은 아두이노 센서를 통해 시설 사용자의 체온과 산소 포화도 값을 받아 사용자의 COVID-19 증상 유무를 판단한다. 유증상자의 경우 경고음을 울려 시설 출입을 사전에 제한한다. 체온과 산소포화도 측정 후 비접촉 인증 방식인 RFID, 얼굴인식을 통해 시설 출입을 통제한다. 시설 관리자는 RFID, 얼굴인식, 도어록 전용 애플리케이션을 사용해 시설에 출입할 수 있다. 본 시스템을 통해 시설 관리가 편리해지고, 증가하고 있는 스마트 빌딩 및 무인 시설에 활용할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1517-1520
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• 2008

최근의 사이버 공격은 경쟁사에 대한 DDoS 공격과 기밀정보 유출, 일반 사용자들의 금융정보 유출, 광고성 스팸메일의 대량 발송 등 불법 행위를 대행해주고 경제적 이득을 취하려는 의도로 바뀌어 가고 있다. 그 중심에 있는 봇넷은 봇이라 불리는 감염된 호스트들의 네트워크 집단으로서 일련의 거의 모든 사이버 공격에 이용되고 있다. 이러한 봇넷은 수 많은 변종과 다양한 탐지 회피 기술로 그 세력을 확장해가고 있지만 마땅한 총괄적 대책은 미흡한 것이 현실이다. 이 논문에서는 날이 갈수록 위협을 더해가는 봇넷을 빠르게 탐지하고 대응하기 위해 ISP 사업자들 간, 혹은 국가 간에 걸친 사회 전반적인 협력을 통한 봇넷 탐지 및 관리 시스템 구조를 제안한다.

• Korean Journal of Microbiology
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• v.49 no.1
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• pp.51-57
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• 2013

As facilities and equipments for learning activities in college campuses are handled by mass public, their contact surfaces may function as major routes of cross-infection of microbial pathogens. However, unlike items in cafeteria which is the typical target for campus hygiene, those surfaces are not under regular surveillance or sanitary maintenance. In this study, I made a quantitative comparison of the risk of being exposed to microbial pathogens from use of learning facilities such as classrooms and library to the risk from use of cafeteria, for about 1,500 students in a college. Regarding total coliforms as surrogate model of bacterial pathogens, exposure rates were estimated for each item in learning facilities and cafeterias by devising deterministic exposure algorithms based on bacterial abundance, contract rates and transfer rates. The exposure rate in cafeterias was 1.0 CFU/day while learning facilities imposed the rate of 0.5 CFU/day, which reaches a half of the exposure rate in cafeterias. However, 70% of students were exposed more in learning facilities than cafeteria because individuals had different frequencies in using cafeteria. Based on the results, some human-contact surfaces of learning facilities, including elevator buttons, may require regular sanitary maintenance. An efficient sanitary maintenance considering seasonality in diversity of pathogens involved with cross-infections is suggested besides improvement of personal hygiene among students.

• Journal of Veterinary Clinics
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• v.27 no.3
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• pp.209-215
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• 2010

Canine coronavirus (CCV) is a cause of sporadic outbreaks of enteritis in dogs. This study was performed to carry out epidemiological investigation on the recent outbreaks of CCV enteritis of dogs and determined the potential prognostic factors affecting the survival of dogs. The 131 (34.4%) out of 381 fecal samples collected from dogs with enteritis were positive for CCV by RT-PCR. The fecal samples contained genotype I (30.5%), genotype II (29.0%), and both genotypes (40.5%) of CCV. The majority of dogs with CCV infection ranged 6-18 weeks of age. Age over 18 weeks was significantly associated with higher survival rate (P < 0.05). Of the clinical signs examined, dogs without anorexia were significantly higher survival rate (P < 0.01). The 90.1% of dogs with CCV infection were co-infected by CCV and CPV-2. From the results of this study, it can be concluded that CCV infection is widespread in the Korean dog population and CCV may be attributed to be one of the important agents causing enteritis in pups.

• Journal of Life Science
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• v.22 no.9
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• pp.1268-1276
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• 2012

The emergence and dissemination of carbapenem-resistant bacteria have resulted in limitations of antibiotic treatment and potential outbreaks of metallo-${\beta}$-lactamase (MBL) producing Pseudomonas aeruginosa resistant to carbapenems. In this study, we conducted molecular characterization of the MBL genes of the ${\beta}$-lactam drug-resistant P. aeruginosa and prepared basic data for treatment and prevention of proliferation of antimicrobial-resistant bacterial infections. Forty-two P. aeruginosa isolates of 254 were resistant to imipenem or meropenem. Among the 42 isolates, 28 isolates were positive for the Hodge test, and 23 isolates were positive for the EDTA-disk synergy test (EDST). MBLs were detected in 59.5% (25/42) of P. aeruginosa isolates. Eight isolates harbored $bla_{IMP-6}$, whereas 17 isolates harbored $bla_{VIM-2}$. The $bla_{IMP-6}$ gene was in a class 1 integron containing five gene cassettes: $bla_{IMP-6}$, qac, aacA4, $bla_{OXA-1}$, and aadA1. Some strains that produce IMP-6 and VIM-2 showed epidemiological relationships. The $bla_{IMP-6}$ gene in carbapenem-resistant P. aeruginosa showed an identical pattern to a gene cassette that was reported at a hospital in Daegu, Korea. Therefore, MBL-producing P. aeruginosa is already endemic in the community. We are concerned that the existence of carbapenem-resistant bacteria containing the blaMBL gene may increase pressure on antibiotic selection when treating infections. We believe that we should select appropriate antibiotics based on the antibiotic susceptibility test and continue the research to prohibit the emergence and spread of antibiotics resistant bacteria.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.45-52
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• 2012

T cells induce immune responses and thereby eliminate infected micro-organisms when peptides from the microbial proteins are bound to HLAs in the host cell surfaces, It is known that the more stable the binding of peptide to HLA is, the stronger the T cell response gets to remove more effectively the source of infection. Accordingly, if peptides (HLA binder) which can be bound stably to a certain HLA are found, those peptieds are utilized to the development of peptide vaccine to prevent infectious diseases or even to cancer. However, HLA is highly polymorphic so that HLA has a large number of alleles with some frequencies even in one population. Therefore, it is very inefficient to find the peptides stably bound to a number of HLAs by testing random possible peptides for all the various alleles frequent in the population. In order to solve this problem, computational methods have recently been developed to predict peptides which are stably bound to a certain HLA. These methods could markedly decrease the number of candidate peptides to be examined by biological experiments. Accordingly, this paper not only introduces a method of machine learning to predict peptides binding to an HLA, but also suggests a new prediction model so called 'knowledge-based genetic algorithm' that has never been tried for HLA binding peptide prediction. Although based on genetic algorithm (GA). it showed more enhanced performance than GA by incorporating expert knowledge in the process of the algorithm. Furthermore, it could extract rules predicting the binding peptide of the HLA alleles common in Koreans.