• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.86-96
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• 2020

Based on the use cases of image recognition technology, this study looked at how artificial intelligence plays a role in image recognition technology. Through image recognition technology, satellite images can be analyzed with artificial intelligence to reveal the calculation of oil storage tanks in certain countries. And image recognition technology makes it possible for searching images or products similar to images taken or downloaded by users, as well as arranging fruit yields, or detecting plant diseases. Based on deep learning and neural network algorithms, we can recognize people's age, gender, and mood, confirming that image recognition technology is being applied in various industries. In this study, we can look at the use cases of domestic and overseas image recognition technology, as well as see which methods are being applied to the industry. In addition, through this study, the direction of future research was presented, focusing on various successful cases in which image recognition technology was implemented and applied in various industries. At the conclusion, it can be considered that the direction in which domestic image recognition technology should move forward in the future.

• KIISE Transactions on Computing Practices
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• v.22 no.2
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• pp.77-82
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• 2016

This paper presents the development of the Korean medicine symptom diagnosis system. In the Korean medicine symptom diagnosis system, the patient explains their symptoms and an oriental doctor makes a diagnosis based on the symptoms. Natural language processing is required to make a diagnosis automatically through the patients' reports of symptoms. We use morphological analysis to get understandable information from the natural language itself. We developed a diagnosis system that consists of NoSQL document-oriented databases-MongoDB. NoSQL has better performance at unstructured and semi-structured data, rather than using Relational Databases. We collect patient symptom reports in MongoDB to refine difficult medical terminology and provide understandable terminology to patients.

• Korean Journal of Veterinary Research
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• v.34 no.1
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• pp.135-139
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• 1994

In the year 1992/93 leucocytozoonosis could be first diagnbosed in 87 chickens of 4 chicken farms in Honam districts. The diagnosis was confirmed by detection of the blood merozoites or gametocytes and histological finding of the schizonts from various organs with some clinical signs. Cases of leucocytozoonosis only occurred from the end of June to the middle of September. Artificial infection could be observed by means of inoculation of infected blood merozoites. The schizonts were found in the liver and cardiac muscle of the different chickens recovered from the natural infection, respectively, in September and next February. Thus the relapse or long-term infection in cold seasons might be possible. The unique gametocyte antigen polypeptide was 50.1 kD.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.37-47
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• 2019

The purpose of this paper is to construct a system that matches the patient's image disease information with the medical image viewer in providing the medical image information to the medical staff. Currently, medical image information systems that are commercialized mostly provide only one image viewer with various image information of diseases or use incompatible exclusive viewers. For this reason, we designed and implemented a medical image information viewer matching system that integrates and provides specialized viewers that can be selected by diseases' image information. That is, it is a system to match and view medical image viewers based on disease information extracted from tag information stored as the metadata in DICOM file, which is medical image information standard, for disease-specific viewer matching. We analyzed the execution performances through our retrieval service of medical image information from our implementation system, and showed compatibility and control with various viewers.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2023.04a
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• pp.4-4
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• 2023

다국적 제약회사에서 생산되는 제약화합물은 인간의 질병치료 뿐만 아니라 가축의 생산성을 향상시키는 물질으로도 활발하게 생산되는데 육우의 성장을 촉진하는 기능성 화합물들도 많이 있다. 북미에서 생산되는 소고기의 약 80%가 1번 이상의 성장촉진기술들이 활용되고 있다고 보고된다. 고기소로 생산되는 비육우에 적용되는 방법은 크게 피하 이식에 의해 혈류를 타고 성장을 촉진하는 17β-Estradiol과 합성 남성호르몬제인 Trenbolone acetate가 주로 활용되고, 비육후기 사료에 섞어서 급여하는 사료첨가제 형태인 β2-adrenergic agonist 같은 형태로 적용하게 된다. 근육을 성장하는 기술의 작용기전은 많은 선행연구에 의해 밝혀져 있는 반면 천연 알칼로이드 성분들의 기전은 밝혀진 것이 많지 않다. 한방제재들에서 많이 발견되는 알칼로이드 성분들은 생리활성 기능들을 가진 것으로 알려져 있지만, 생산, 수거, 가공, 추출 등의 공정에서 많은 비용이 발생하므로 비육우의 사료화 가능성은 아주 희박하다. 따라서 비용을 최소화 할 수 있는 후보재료를 검색중에 감자부산물을 확보하였고 기능성 물질의 추출과 사료첨가제 화 하여 비육우에 급여시험을 실시하였다. α-solanine과 α-chaconine은 감자의 잎, 과일 및 괴경에서 발견되는 글리코알칼로이드 화합물로, 쥐, 토끼, 닭과 같은 다양한 동물 모델에서 중독성을 가진 물질로 보고 되고 있다. 최근 연구에서는 비육우의 성능을 유도하는 데 사용되는 것으로 나타났다. 한우 송아지 3마리의 사태(Semimembranosus)와 등심(Longissimus Dorci)근육에서 추출된 근육위성 세포(BSC)에 다양한 수준의 α-solanine(control, 0.001, 0.01, 0.1, 1, 10μM)으로 처리해본 결과 근육관련 지표인 MHC2X과 β2-AR의 발현이 높게 나타난 것을 확인했다. 사료급여실험에서는 대조군에 비해 급여군의 등심단면적과 도체중이 향상되는 것을 확인하였다. 결과적으로 감자유래 농산부산물은 한우 비육우의 근육의 성장을 증가시키고, 그 작용기전은 β2-수용체에 작용하여 단백질 합성을 촉진시켜 근육을 축적시키는 것으로 확인하였다. 농산부산물을 이용한 기능성 사료개발은 최근 이슈가 되고 있는 축산분야 탄소저감을 개선할 수 있는 기술로 축산의 업사이클링 기술로 활용 가능하다.

• Pediatric Infection and Vaccine
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• v.31 no.1
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• pp.136-139
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• 2024

Rhabdomyolysis is a syndrome that causes various complications due to the release of substances from muscle cells, often associated with preceding infectious diseases. We report the case of a 7-year-old Korean boy with recent severe acute respiratory syndrome coronavirus 2 infection, presenting with fever, chills, and generalized body aches, diagnosed as rhabdomyolysis. Additionally, we conducted a systematic review with the aim of delineating the disease spectrum, treatment, and outcomes. We identified seven reports that met the inclusion criteria. Among the cases, 5 had fever, with creatine kinase levels ranging from 3,717 and 274,664 IU/L. Two individuals received treatment in intensive care unit, 2 underwent renal replacement therapy, and 1 case has deceased. For children with coronavirus disease 2019 infection and muscle pain, a thorough examination of urine color and an assessment of muscle enzymes through blood tests can help diagnose and treat rhabdomyolysis, a condition that might otherwise be overlooked.

• Pediatric Infection and Vaccine
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• v.31 no.1
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• pp.64-74
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• 2024

Purpose: Despite the recent increased number of nosocomial measles, the outbreak investigation reports are not usually standardized, thus posing unclear understanding of magnitude of its public health burden. We used the Outbreak Reports and Intervention Studies of Nosocomial Infection (ORION) statement, to compare nosocomial outbreaks and synthesize evidence to prevent hospital transmission of measles. Methods: A PubMed, Web of Science, Embase, Scopus, and Cochrane search in English, using the medical subject headings "measles," "nosocomial," "hospital," and "healthcare," was performed. We evaluated the quality of outbreak reports of nosocomial measles infection worldwide using the ORION statement findings and recommendations. Results: We reviewed 24 studies in accordance to the ORION statement. Measles transmission in healthcare settings is a significant burden on the morbidity, mortality, and economy of measles. The healthcare workers' booster vaccination guidelines should be monitored and enhanced during the post-elimination period of measles. The outcomes of infections must be explicit for outbreak reports. Conclusions: This study identified the epidemiological and clinical characteristics of nosocomial measles infections and provided strong evidence for infection control policies in hospitals.

• Journal of Nutrition and Health
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• v.42 no.2
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• pp.119-127
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• 2009

Malnutrition of hospitalized patients can adversely affect clinical outcomes and cost. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those possess practical pitfalls of requiring much time and labor to administer and may not be highly applicable to a Korean population. This study sought to develop and evaluate a Nutrition Risk Screening Tool (NRST) which is simple and quick to administer and widely applicable to Korean hospitalized patients with various diseases. The study was also designed to generate a screening tool predictable of various clinical outcomes and to validate it against the Nutritional Risk Screening 2002 (NRS 2002). Electronic medical records of 424 patients hospitalized at a general hospital in Seoul during a 14-month period were abstracted for anthropometric, medical, biochemical, and clinical outcome variables. The study employed a 4-step process consisting of selecting NRST components, searching a scoring scheme, validating against a reference tool, and confirming clinical outcome predictability. NRST components were selected by stepwise multiple regression analysis of each clinical outcome (i.e., hospitalization period, complication, disease progress, and death) on several readily available patient characteristics. Age and serum levels of albumin, hematocrit (Hct), and total lymphocyte count (TLC) remained in the last model for any of 4 dependent variables were decided as NRST components. Odds ratios of malnutrition risk based on NRS 2002 according to levels of the selected components were utilized to frame a scoring scheme of NRST. A NRST score higher than 3.5 was set as a cut-off score for malnutrition risk based on sensitivity and specificity levels against NRS 2002. Lastly differences in clinical outcomes by patients' NRST results were examined. The results showed that the NRST can significantly predict the in-hospital clinical outcomes. It is concluded that the NRST can be useful to simply and quickly screen patients at high-nutritional risk in relation to prospective clinical outcomes.

• Journal of Oriental Neuropsychiatry
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• v.15 no.2
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• pp.149-158
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• 2004

만성적이거나 반복적인 스트레스는 우울중이나 심신병 등의 발병 기전과 밀접한 관련이 있다. 전기적 자극(electric foot shock), 한랭 자극, 속박(immobilization), 투쟁(fighting), 에테르 노출 등과 같은 심한 스트레스 자극이 뇌 조직의 시상 및 시상하부, 편도체 등에서의 노르아드레날린(noradrenalin) 방출을 유의 하게 감소시키는 동시에 혈청 corticosterone을 증가시키는 것으로 알려져 있다. 한의학에서는 스트레스 인자에 대한 신체반응을 기(氣)의 변화로 인식하고 있고, 이러한 자극요인들은 신체에 대하여 병적 요인을 제공하여 제반 질환을 야기한다. 또한 질병 발생에 대한 근거로 정기(正氣)와 사기(邪氣)의 상호 관계 위주로 인식하는데, 내부의 기(氣)의 변조(變調)는 질병의 발생을 야기하는 기초가 된다. 실험에 사용된 연근(蓮根)은 연꽃과에 속한 수생초본인 연꽃의 뿌리부분으로 우(藕) 또는 우절(藕節)이라는 명칭으로 불리기도 한다. 성미(性味)는 감(甘) 삽(澁) 평(平) 무독(無毒)하고 폐(肺) 위(胃) 간경(肝經)으로 들어가며 수렴지혈(收斂止血) 화어(化瘀)의 효능이 있어 토혈(吐血) 객혈(喀血) 뇨혈(尿血) 편혈(便血) 등의 각종 출혈 증상에 사용되어져 왔다. 최근 연꽃의 부위별 추출물이 흰쥐의 지질 과산화 생성을 효과적으로 억제하는 것으로 보고되고 있어 연근(蓮根)에 대한 다양한 약리 효능의 검색이 필요할 것으로 생각되며 연꽃의 씨앗인 연자육(蓮子肉)이 양심안신(養心安神)의 효능이 있어 스트레스성 질환에 많이 응용되고 있는 것에 착안하여 본 연구를 착수하였다. 실험 동물은 ICR계 마우스를 이용하였으며, 사회 심리적 스트레스는 옆쪽 cage에서 다른 마우스의 신체에 가해지는 전기 충격을 하루 1시간 동안 지켜보게 하는 것으로 유발하였으며 이 상태에서 약물을 투여한 그룹을 실험군, 그렇지 않은 그룹을 대조군으로 하였다. 정상군은 아무런 자극 없이 하루 1시간 동안 일정 공간에 가두어 두는 것으로 하였다. 실험 결과 사회 심리적 스트레스를 받은 경우에 아무런 처치를 하지 않은 대조군에 비해 연근 추출물을 100mg/kg/day 용량으로 5 일간 투여한 실험군에서 혈청 중 corticosterone 함량이 유의하게 감소하였으므로 매우 효과적으로 스트레스를 해소하였음을 알 수 있다. 뇌세포 중에서 신경전달물질로 분비되는 노르아드레날린의 분비량은 전반적으로 증가되는 경향을 나타내었으나 유의성은 없었다. 신체적 또는 사회 심리적 스트레스가 간 조직 내 지질의 과산화를 유발하는 것으로 나타났으며 연근 추출물이 이 결과에는 영향을 주지 못하였다. 사회 심리적 스트레스로 인하여 간 조직 내 지질과산화 정도가 증가하였으므로 혈청 내 ALT 함량도 따라 증가할 것으로 추정되었으며 이에 대한 연근 추출물 경구 투여가 간 조직을 보호할 수 있는지를 확인하기 위해 분리한 혈청으로부터 ALT 함량을 측정한 결과 대조군에 비하여 유의한 감소를 나타내었다. 또한 연근 추출물이 혈청 내 지질 과산화물의 생성을 억제할 수 있다면 질병의 예방과 치료에 효과적일 것으로 추정할 수 있으므로 그 생성량을 측정하여 보았으나 대조군과의 차이가 나타나지 않았다. 이상의 결과들을 종합하여 보면 스트레스가 부하된 5일 동안 연근(蓮根) 추출물을 함께 투여한 결과 혈청 corticosterone 함량을 유의하게 감소시켰고 뇌 조직내 noradrenaline 함량을 증가시키는 경향을 나타내어 스트레스 해소에 도움이 될 수 있음을 시사하였다. 또한 혈청 내 ALT 함량을 유의하게 감소시켜 스트레스로 인해 발생하는 간 기능의 손상도 어느 정도 억제시키는 것을 확인할 수 있었는데 앞으로 연근(蓮根)의 이러한 작용에 대한 보다 자세한 연구들이 필요한 것으로 생각된다.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.139-148
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• 2020

Infectious diseases have long plagued mankind, and predicting and preventing them has been a big challenge for mankind. For this reasen, various studies have been conducted so far to predict infectious diseases. Most of the early studies relied on epidemiological data from the Centers for Disease Control and Prevention (CDC), and the problem was that the data provided by the CDC was updated only once a week, making it difficult to predict the number of real-time disease outbreaks. However, with the emergence of various Internet media due to the recent development of IT technology, studies have been conducted to predict the occurrence of infectious diseases through web data, and most of the studies we have researched have been using single Web data to predict diseases. However, disease forecasting through a single Web data has the disadvantage of having difficulty collecting large amounts of learning data and making accurate predictions through models for recent outbreaks such as "COVID-19". Thus, we would like to demonstrate through experiments that models that use multiple Web data to predict the occurrence of infectious diseases through LSTM models are more accurate than those that use single Web data and suggest models suitable for predicting infectious diseases. In this experiment, we predicted the occurrence of "Malaria" and "Epidemic-parotitis" using a single web data model and the model we propose. A total of 104 weeks of NEWS, SNS, and search query data were collected, of which 75 weeks were used as learning data and 29 weeks were used as verification data. In the experiment we predicted verification data using our proposed model and single web data, Pearson correlation coefficient for the predicted results of our proposed model showed the highest similarity at 0.94, 0.86, and RMSE was also the lowest at 0.19, 0.07.