• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.241-262
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• 2021

This paper reviewed the necessity of a information and communication technology (ICT)-based smart livestock system as a development strategy for the animal life industry in the future. It also predicted the trends of livestock and animal food until 2050, 30 years later. Worldwide, livestock raising and consumption of animal food are rapidly changing in response to population growth, aging, reduction of agriculture population, urbanization, and income growth. Climate change can change the environment and livestock's productivity and reproductive efficiencies. Livestock production can lead to increased greenhouse gas emissions, land degradation, water pollution, animal welfare, and human health problems. To solve these issues, there is a need for a preemptive future response strategy to respond to climate change, improve productivity, animal welfare, and nutritional quality of animal foods, and prevent animal diseases using ICT-based smart livestock system fused with the 4th industrial revolution in various aspects of the animal life industry. The animal life industry of the future needs to integrate automation to improve sustainability and production efficiency. In the digital age, intelligent precision animal feeding with IoT (internet of things) and big data, ICT-based smart livestock system can collect, process, and analyze data from various sources in the animal life industry. It is composed of a digital system that can precisely remote control environmental parameters inside and outside the animal husbandry. The ICT-based smart livestock system can also be used for monitoring animal behavior and welfare, and feeding management of livestock using sensing technology for remote control through the Internet and mobile phones. It can be helpful in the collection, storage, retrieval, and dissemination of a wide range of information that farmers need. It can provide new information services to farmers.

• Food Science and Industry
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• v.55 no.2
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• pp.154-165
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• 2022

Humans have been breeding the mulberry silkworm for the long period of time to obtain silk fabric and nutrient-rich pupae. Currently, silkworm larvae, pupae, and silk-Fibroin hydrolysates are registered as food raw materials, while silkworm feces and Bombyx batryticatus are registered as Korean traditional medicines. Among sericulture products, individually recognized health functional food ingredients include silk-protein acid-hydrolysates for immunity enhancement, Fibroin-hydrolysates for memory improvement, and freeze-dried 5^th instar and 3^rd-day-silkworm powder for lowering-blood sugar. Recently, HongJam produced by steaming and freeze-drying mature silkworms were reported to have various health-promoting effects such as preventing the onset of Alzheimer's disease and Parkinson's disease, enhancing gastro-intestinal functions, improving skin-whitening and hair growth, and extending healthspan. By consuming silkworm products with various health-promoting effects, it is possible to increase the healthspan of human beings, thereby reducing personal and national medical expenses, resulting in increasing the individual's happiness.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.401-410
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• 2019

This study was conducted to identify factors affecting nursing performance of delirium among nursing students. A total of 252 fourth year students were recruited from nursing department in Gwangju. Structured questionnaire was self-administrated from April to September, 2017. The used statistical analysis were t-test, ANOVA, Pearson's coefficient and multiple regression analysis. Knowledge of delirium 29.0±7.24, self-confidence in the care for delirium 71.65±28.55 and nursing performance level for patients with delirium was 41.16±8.97. Nursing performance of delirium had significant positive correlations with delirium knowledge, self-confidence of delirium care. In multiple regression analysis, nursing experience for delirium patients, self-confidence of delirium care, practice experience in intensive care unit, use of nursing diagnosis related to delirium, and satisfaction of clinical practice were significant factors of nursing performance of delirium explaining 29.8% of the variables. In conclusion, to enhance nursing performance of delirium, it is necessary to develop educational program for increasing nursing experience for delirium patients during clinical practice and self-confidence of delirium care.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.416-423
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• 2022

This study was a secondary data analysis study to determine the relationship between mental health counseling and the current prevalence of depression in the Korean adult population. Data were extracted from raw data of the 7th 3rd year (2018) of the National Health and Nutrition Examination Survey (NHANES) conducted by the Korea Centers for Disease Control and Prevention. The subjects of this study were 6,238 adults aged 19 years or older who participated in the NHANES conducted from January to December 2018. The collected data were analyzed by frequency analysis and logistic regression analysis of the complex sample by the SPSS/WIN 27.0 version program. The mental health counseling statistically significant associated with variables such as sex, marital status, economic activities, and family income level, respectively (p<0.05). The prevalence of depression statistically significant associated with age group (p<0.0001). The odds-ratio of current prevalence of depression was 5.09 times (OR, 5.085; p<0.0001) lower in subjects who had undergone mental health counseling for the past year compared to subjects who did not. These findings could be useful as evidence-based data for the prevention and management of depression by predicting the vulnerable factors for mental health in the Korean adult population.

• Convergence Security Journal
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• v.22 no.4
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• pp.85-97
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• 2022

With the development of big data technology, data is rapidly entering a hyperconnected intelligent society that accelerates innovative growth in all industries. The convergence industry, which holds and utilizes various high-quality data, is becoming a new growth engine, and big data is fused to various traditional industries. In particular, in the medical field, structured data such as electronic medical record data and unstructured medical data such as CT and MRI are used together to increase the accuracy of disease prediction and diagnosis. Currently, the importance and size of unstructured data are increasing day by day in the medical industry, but conventional data security technologies and policies are structured data-oriented, and considerations for the security and utilization of unstructured data are insufficient. In order for medical treatment using big data to be activated in the future, data diversity and security must be internalized and organically linked at the stage of data construction, distribution, and utilization. In this paper, the current status of domestic and foreign data security systems and technologies is analyzed. After that, it is proposed to add unstructured data-centered de-identification technology to the guidelines for unstructured data and technology application cases in the industry so that unstructured data can be actively used in the medical field, and to establish standards for judging personal information for unstructured data. Furthermore, an object feature-based identification ID that can be used for unstructured data without infringing on personal information is proposed.

• Information Systems Review
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• v.24 no.1
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• pp.21-37
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• 2022

Drug repositioning, one of the methods of developing new drugs, is a useful way to discover new indications by allowing drugs that have already been approved for use in people to be used for other purposes. Recently, with the development of machine learning technology, the case of analyzing vast amounts of biological information and using it to develop new drugs is increasing. The use of machine learning technology to drug repositioning will help quickly find effective treatments. Currently, the world is having a difficult time due to a new disease caused by coronavirus (COVID-19), a severe acute respiratory syndrome. Drug repositioning that repurposes drugsthat have already been clinically approved could be an alternative to therapeutics to treat COVID-19 patients. This study intends to examine research trends in the field of drug repositioning using machine learning techniques. In Pub Med, a total of 4,821 papers were collected with the keyword 'Drug Repositioning'using the web scraping technique. After data preprocessing, frequency analysis, LDA-based topic modeling, random forest classification analysis, and prediction performance evaluation were performed on 4,419 papers. Associated words were analyzed based on the Word2vec model, and after reducing the PCA dimension, K-Means clustered to generate labels, and then the structured organization of the literature was visualized using the t-SNE algorithm. Hierarchical clustering was applied to the LDA results and visualized as a heat map. This study identified the research topics related to drug repositioning, and presented a method to derive and visualize meaningful topics from a large amount of literature using a machine learning algorithm. It is expected that it will help to be used as basic data for establishing research or development strategies in the field of drug repositioning in the future.

• The Korean Journal of Applied Statistics
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• v.37 no.4
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• pp.485-497
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• 2024

With the development of modern society, the number of livestock is increasing, and the corresponding odor is recognized as a serious social problem. In particular, the consumption of poultry meat, such as chicken, duck, and turkey, is expected to rise steeply, making odor problems near poultry farms. To address the problem, it is important to understand the influence of odor components on the complex odor. In this study, the odor data obtained from poultry farms were used to predict the complex odor using machine learning models and analyze the influence of the components. Furthermore, we analyze the differences in the amount of the odor components at the site boundary, compost site, inside the farm, and outside the farm using analysis of variance. The analysis showed that ammonia, trimethylamine, dimethyldisulfide, and acetaldehyde have a high effect on the complex odor. In particular, ammonia, trimethylamine, and acetaldehyde have different amount of the occurence by the location.

• Journal of agricultural medicine and community health
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• v.39 no.3
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• pp.161-175
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• 2014

Objectives: This study investigates the prevalence of suicide ideation and its the related factors by gender among Korean adults. Methods: National cross-sectional data from the database of the first and second year of $5^{th}$ Korean National Health and Nutritional Examination Survey (KNHANES V-1, V-2) were used for this study. 13,165 adults (${\geq}20$ years) were included in this analysis. Results: The prevalence of suicide ideation was 9.8% for men, 18.9% for women. Renal failure, depression, melancholy, stress, perceived health status, and smoking were significant risk factors among both men and women for suicide ideation. Divorced, separated or widowed of marital status and severe physical activity were related factors of suicide ideation for men. Low educational attainment, and alcohol dependency were associated factors of suicide ideation for women. Conclusions: There was gender difference of prevalence and risk factors of suicide ideation. These gender differences should be considered for planning and implementing suicide prevention program.

• Tuberculosis and Respiratory Diseases
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• v.47 no.5
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• pp.586-597
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• 1999

Background: Many diagnostic tests have developed to diagnose tuberculosis and other mycobacterial diseases but the diagnosis of tuberculosis relies largely on radiological findings and acid-fast staining of sputum and/or culture. Recently, new serologic diagnostic methods, which are safe and easy to use have been introduced into Korea. In this study, the usefulness of serologic diagnosis for tuberculosis and the disease pattern induced variation of the test were evaluated. Methods: Serological assay was performed upon 108 patients with two test kits, the ICT tuberculosis and the BioSign$^{TM}$TB, which are based upon a rapid immunochromatographic assay technique, capable of being interpreted within 15 minutes. The case groups consisted of 61 patients with active pulmonary tuberculosis(36 patients), extrapulmonary tuberculosis(3 patients), or both(22 patients). Control groups consisted of 47 patients with inactive old pulmonary tuberculosis(17 patients), nontuberculous pulmonary disease(16 patients) and nonpulmonary cardiac disease(14 patients). Results : The diagnostic sensitivity, specificity, positive predictive value(PPV) and negative predictive value(NPV) of the ICT tuberculosis were 64.3%, 91.5%, 90.0% and 68.3% respectively. The diagnostic sensitivity, specificity, PPV and NPV of the BioSign$^{TM}$TB were 76.5%, 95.3%, 94.1 % and 78.8% respectively. Differences in sensitivity were not significant between patients with previous history of tuberculosis or patients without prior history of tuberculosis. The ICT tuberculosis test showed higher sensitivity in pulmonary tuberculosis patients(76.5%) than extrapulmonary tuberculosis patients(33.3%). There was no difference in sensitivity between patients with or without cavitary lesion by chest X-ray. Conclusion: Considering high specificity and PPV, serologic diagnosis using a rapid immunochromatographic assay device is another helpful diagnostic method in the diagnosis of tuberculosis, when combined with previous diagnostic methods such as chest X-ray, microbiologic study but it has limitation in terms of confirming the diagnosis for tuberculosis as the only diagnostic method because of relatively low sensitivity and NPV.

• Clinical and Experimental Pediatrics
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• v.45 no.8
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• pp.973-979
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• 2002

Purpose : Recently, a number of rapid antigen detection tests have been available to diagnose group A streptococcal pharyngotonsillitis. The purpose of this study was to determine the sensitivity, specificity and consistency of the two rapid antigen detection tests. Methods : Among the patients who visited our clinic from November 2001 to February 2002, 61 patients who had clinical findings of pharyngeal erythema or edema, pharyngeal exudates and soft palatine petechiae were enrolled in our study. A total of 61 patients were tested with rapid antigen detection tests and throat culture. BD $LINK2^{TM}$ Strep A(Becton, Dickinson & Company, U.S.A.) and $QuickVue^{(R)}$ $In-Line^{TM}$(Quidel Corporation, U.S.A.) were selected for rapid antigen detection tests. Results : Of the 61 patients tested, 22 patients were confirmed as group A streptococcal pharyngotonsillitis by throat culture. The BD $LINK2^{TM}$ Strep A had a sensitivity of 81.8% and a specificity 89.7%. The positive and negative predictive values were 81.8% and 89.7%, respectively. The $QuickVue^{(R)}$ $In-Line^{TM}$ had a sensitivity of 77.3% and a specificity of 100%. The positive and negative predictive values were 100% and 88.6%, respectively. The kappa values of BD $LINK2^{TM}$ Strep A and $QuickVue^{(R)}$ $In-Line^{TM}$ were 0.72 and 0.81, respectively. Conclusion : In addition to high sensitivity, specificity and consistency, both kits are easy to use and simple to interpret, and therefore have the potential to be used with backup throat culture for diagnosis of acute pharyngotonsillitis.