• Tuberculosis and Respiratory Diseases
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• 제80권4호
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• pp.344-350
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• 2017

Bronchial asthma is a disease characterized by the condition of airway hyper-responsiveness, which serves to produce narrowing of the airway secondary to airway inflammation and/or various spasm-inducing stimulus. Nonspecific bronchoprovocation testing is an important method implemented for the purpose of diagnosing asthma; this test measures the actual degree of airway hyper-responsiveness and utilizes direct and indirect bronchoprovocation testing. Direct bronchoprovocation testing using methacholine or histamine may have superior sensitivity as these substances directly stimulate the airway smooth muscle cells. On the other hand, this method also engenders the specific disadvantage of relatively low specificity. Indirect bronchoprovocation testing using mannitol, exercise, hypertonic saline, adenosine and hyperventilation serves to produce reactions in the airway smooth muscle cells by liberating mediators with stimulation of airway inflammatory cells. Therefore, this method has the advantage of high specificity and also demonstrates relatively low sensitivity. Direct and indirect testing both call for very precise descriptions of very specific measurement conditions. In addition, it has become evident that challenge testing utilizing each of the various bronchoconstrictor stimuli requires distinct and specific protocols. It is therefore important that the clinician understand the mechanism by which the most commonly used bronchoprovocation testing works. It is important that the clinician understand the mechanism of action in the testing, whether direct stimuli (methacholine) or indirect stimuli (mannitol, exercise) is implemented, when the testing is performed and the results interpreted.

• 대한예방한의학회지
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• 제12권1호
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• pp.127-134
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• 2008

This study was carried out in 14,443 subjects(8,706 men, 5,737 women, mean age $41.8{\pm}9.16$) who visited the health promotion center of one university hospital. Serum $T_3$, $T_4$ and TSH concentrations were measured with CIA using commercial kits on ADVIA Centaur Assay and Serum total cholesterol, triglyceride, and HDL-cholesterol were measured by auto-analyzer Hitach 7600 in enzyme method. 1. The prevalence of subclinical hypothyroidism was 12.6/1,000 population(men 6.0/1,000, women 22.7/1,000) and as high as about 4 times in women than in men. 2. In subclinical hypothyroidism, the values of total cholesterol and LDL-cholesterol were significantly high by 5.5 mg/dL, 4.6 mg/dL compared with normal group(p<0.05). 3. In all the tested hypercholesterolemia and hyperLDL-cholesterolemia, were correlated with TSH. There is higher correlation in women group than men group. These results indicate that the subclinical hypothyroidism and dyslipemia significantly correlated. Especially, it is very important to find that the hypercholesterolemia and hyperLDL-cholesterolemia are the high risk factors of atherosclerosis. Therefore, it is essential for the group of subclinical hypothyroidism to take the cholesterol, LDL-cholesterol and serum lipid test as well as thyroid function test.

• Journal of Microbiology and Biotechnology
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• 제28권3호
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• pp.401-408
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• 2018

The waste seaweed from Gwangalli beach, Busan, Korea was utilized as biomass for ethanol production. Sagassum fulvellum (brown seaweed, Mojaban in Korean name) comprised 72% of the biomass. The optimal hyper thermal acid hydrolysis conditions were obtained as 8% slurry contents, 138 mM sulfuric acid, and $160^{\circ}C$ of treatment temperature for 10 min with a low content of inhibitory compounds. To obtain more monosaccharides, enzymatic saccharification was carried out with Viscozyme L for 48 h. After pretreatment, 34 g/l of monosaccharides were obtained. Pichia stipitis and Pichia angophorae were selected as optimal co-fermentation yeasts to convert all of the monosaccharides in the hydrolysate to ethanol. Co-fermentation was carried out with various inoculum ratios of P. stipitis and P. angophorae. The maximum ethanol concentration of 16.0 g/l was produced using P. stipitis and P. angophorae in a 3:1 inoculum ratio, with an ethanol yield of 0.47 in 72 h. Ethanol fermentation using yeast co-culture may offer an efficient disposal method for waste seaweed while enhancing the utilization of monosaccharides and production of ethanol.

• ETRI Journal
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• 제39권2호
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• pp.275-283
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• 2017

A green technology for reducing energy consumption has become a critical factor in ICT industries. However, for the telecommunications sector in particular, most network elements are not usually optimized for power efficiency. Here, we propose a novel energy-efficient packet switching method for use in an IP network for reducing unnecessary energy consumption. As a green networking approach, we first classify the network nodes into either header or member nodes. The member nodes then put the routing-related module at layer 3 to sleep under the assumption that the layer in the OSI model can operate independently. The entire set of network nodes is then partitioned into clusters consisting of one header node and multiple member nodes. Then, only the header node in a cluster conducts IP routing and its member nodes conduct packet switching using a specially designed identifier, a tag. To investigate the impact of the proposed scheme, we conducted a number of simulations using well-known real network topologies and achieved a more energy- efficient performance than that achieved in previous studies.

• Tuberculosis and Respiratory Diseases
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• 제76권2호
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• pp.59-65
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• 2014

Background: Variable-number tandem repeat (VNTR) typing is a promising method to discriminate the Mycobacterium tuberculosis isolates in molecular epidemiology. The purpose of this study is to determine the optimal VNTR combinations for discriminating isolated M. tuberculosis strains in Korea. Methods: A total of 317 clinical isolates collected throughout Korea were genotyped by using the IS6110 restriction fragment length polymorphism (RFLP), and then analysed for the number of VNTR copies from 32 VNTR loci. Results: The results of discriminatory power according to diverse combinations were as follows: 25 clusters in 83 strains were yielded from the internationally standardized 15 VNTR loci (Hunter-Gaston discriminatory index [HGDI], 0.9958), 25 clusters in 65 strains by using IS6110 RFLP (HGDI, 0.9977), 14 clusters in 32 strains in 12 hyper-variable VNTR loci (HGDI, 0.9995), 6 clusters in 13 strains in 32 VNTR loci (HDGI, 0.9998), and 7 clusters in 14 strains of both the 12 hyper-variable VNTR and IS6110 RFLP (HDGI, 0.9999). Conclusion: The combination of 12 hyper-variable VNTR typing can be an effective tool for genotyping Korean M. tuberculosis isolates where the Beijing strains are predominant.

• 한국전산구조공학회논문집
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• 제36권6호
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• pp.391-398
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• 2023

본 논문에서는 기저 스크리닝 기반 크리깅 모델(BSKM: Basis Screening based Kriging Model) 생성의 정확도를 높이기 위해 페널티를 적용한 최대 우도 평가 방법(PMLE : Penalized Maximum Likelihood Estimation)에 대해서 소개한다. BSKM에서 사용하는 기저함수의 최대 차수와 종류는 그 중요도에 따라서 결정하게 되며, 이때 중요도의 지표는 기저함수에 대한 교차 검증 오차(CVE : Cross Validation Error)로 택한다. 크리깅 모델(KM : Kriging Model) 구성시 최적의 기저함수 조합은 우선 최대 기저함수 차수를 선택하고 개별 기저함수의 중요도를 평가를 하게 된다. 최적 기저함수 조합은 크리깅 모델의 CVE가 최소가 될 때까지 개별 기저함수의 중요도가 높은 순으로 기저함수를 하나씩 추가하며 찾는다. 이 과정에서 KM은 반복적으로 생성해야 하며, 동시에 데이터 사이의 상관관계를 나타내는 하이퍼 매개변수(Hyper-parameters)도 최대 우도 평가방법을 통해 계산하여야 한다. 하이퍼 매개변수의 값에 따라 선택되는 최적의 기저함수 조합이 달라지기 때문에 KM의 정확도에 막대한 영향을 미치게 된다. 정확한 하이퍼 매개변수를 계산하기 위해서 PMLE 방법을 적용하였으며, Branin-Hoo 함수 문제에 적용하여 BSKM 의 정확성이 개선될 수 있음을 확인하였다.

• 성인간호학회지
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• 제19권5호
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• pp.27-36
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• 2007

Purpose: The purpose of this study was to investigate the knowledge and learning needs on coronary artery disease in diabetic patients by glycemic control. Methods: The subjects consisted of 188 patients at the hospital who had diabetes mellitus. Data was obtained using a knowledge and learning needs questionnaire from January to April 2006. Results: Treatment method, the levels of fasting blood glucose(FBG), and 2-hour postprandial blood glucose(PP2hr) showed meaningful differences between normo-glycemic group(HbA1c < 7%) and hyper-glycemic group($HbA1c{\geq}7%$). The levels of knowledge on coronary artery disease by glycemic control tend to show higher in normo-glycemic group. Etiology and prevention of coronary artery disease were significantly higher in normo-glycemic group than in hyper-glycemic group. The levels of learning needs on coronary artery disease by glycemic control tend to show higher in normo-glycemic group. The learning needs on items of diet control were higher in normo-glycemic group than in hyper-glycemic group. Conclusion: On the base of these results, we should focus on the coronary artery disease education for hyper-glycemic group. Also individual coronary artery disease educational program should be developed for the patients with different level of knowledge and learning needs.

• 한국정보전자통신기술학회논문지
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• 제11권6호
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• pp.778-783
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• 2018

정보통신과 산업기술의 급속한 발전으로 인간과 모든 프로그램 그리고 사물들이 인터넷을 통해 연결되는 초연결사회(hyper-connected society)가 구현되고 있다. 초연결사회를 구현하기 위한 정보의 수집은 사물과 사물 그리고 사물과 인간을 연결하는 사물인터넷(IoT: Internet of Thing)이 그 역할을 담당하고 있다. (MQTT: Message Queuing Telemetry Transport)는 이런 사물인터넷의 제약된 통신환경에 최적화되어 개발된 푸시 기술(push technology) 기반의 경량 메시지 전송 프로토콜이다. 초연결사회를 지향하면서 IoT가 담고 있는 정보는 센서의 환경정보에서 이제는 사람의 질병과 건강관리까지 담당하는 광범위한 정보가 되었다. 이런 MQTT에 대한 보안 문제는 환경정보 유출뿐만 아니라 개인의 정보 침해에까지 이르게 되었다. 우리는 이런 MQTT의 보안의 문제점을 해결하기 위해 혼돈계의 초기치 민감성, 유사 난수성을 무결성과 기밀성에 적용하여 새로운 보안 MQTT통신방법을 설계하였다. 우리가 설계한 혼돈계를 이용한 암호화 방법은 구조가 간단하고 계산량이 적기 때문에 IoT와 같은 제한된 통신환경에 적합한 통신방법이라고 생각된다.

• 치위생과학회지
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• 제20권4호
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• pp.206-212
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• 2020

Background: A Teachable Machine is a kind of machine learning web-based tool for general persons. In this paper, the feasibility of Google's Teachable Machine (ver. 2.0) was studied in the diagnosis of the tooth-marked tongue. Methods: For machine learning of tooth-marked tongue diagnosis, a total of 1,250 tongue images were used on Kaggle's web site. Ninety percent of the images were used for the training data set, and the remaining 10% were used for the test data set. Using Google's Teachable Machine (ver. 2.0), machine learning was performed using separated images. To optimize the machine learning parameters, I measured the diagnosis accuracies according to the value of epoch, batch size, and learning rate. After hyper-parameter tuning, the ROC (receiver operating characteristic) analysis method determined the sensitivity (true positive rate, TPR) and specificity (false positive rate, FPR) of the machine learning model to diagnose the tooth-marked tongue. Results: To evaluate the usefulness of the Teachable Machine in clinical application, I used 634 tooth-marked tongue images and 491 no-marked tongue images for machine learning. When the epoch, batch size, and learning rate as hyper-parameters were 75, 0.0001, and 128, respectively, the accuracy of the tooth-marked tongue's diagnosis was best. The accuracies for the tooth-marked tongue and the no-marked tongue were 92.1% and 72.6%, respectively. And, the sensitivity (TPR) and specificity (FPR) were 0.92 and 0.28, respectively. Conclusion: These results are more accurate than Li's experimental results calculated with convolution neural network. Google's Teachable Machines show good performance by hyper-parameters tuning in the diagnosis of the tooth-marked tongue. We confirmed that the tool is useful for several clinical applications.

• 산업융합연구
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• 제21권12호
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• pp.45-54
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• 2023

본 연구는 국내·외적으로 초연결사회와 스마트 기술이 우리나라에서 구현성의 정도를 현재로서는 간과할 수 없는 점 때문에 현재까지의 동향을 살펴보고 미래 정책방향을 선제적으로 모색해 보는 데 목적을 두고 있다. 연구의 방법은 문헌조사 및 주요선행연구 비교를 통해 본 연구와의 차별화에 중점을 두었다. 연구 결과, 초연결사회와 스마트 기술에 따른 우리나라의 4차산업혁명시대에는 데이터 보안·유지관리, 사용자 및 이용자의 프라이버시 강화, 초고령사회 진입에 대비한 관련 정책방향으로 파악되었다. 연구 한계점으로는 계량적, 정량적 방법을 통해 연구분석에 접근해야 하나 자료구득의 어려움, 동향분석을 통한 통계적 정량화의 기술적 한계가 나타났다. 향후 후속연구에서 보완할 필요가 있다.