• Analytical Science and Technology
• /
• v.29 no.4
• /
• pp.202-208
• /
• 2016

본 연구에서는 사료 첨가제로 이용되고 있는 유기산 7종(formic acid, malic acid, lactic acid, acetic acid, citric acid, fumaric acid, propionic acid)의 동시분석법 개발을 위한 연구를 실시하였다. 7종의 화합물은 표준물질의 Retention time과 UV spectra를 통해 구별하였고, 분석법 검증은 직선성, 민감성, 선택성, 정확성, 정밀성을 통하여 검증하였다. 그 결과로 LOD와 LOQ의 범위가 각각 43~26,755 μg/kg, 12-8,026 μg/kg으로 설정하였고, 평균 회수율이 79.3~95.2%로 우수하게 보였으며, intra-day, inter-day에 대한 전반적인 상대 표준 편차(%RSD)는 3.2% 미만으로 나타났다. 이와 같이 검증된 자료를 통해 유기산의 동시분석에 대한 직선성, 민감성, 선택성, 정확성 및 정밀성을 확인하였고, 높은 수준을 나타냄을 알 수 있었다. 이를 바탕으로 유기산이 검출되는 단미사료 46 가지를 분석에 적용하여 진행하였고, 정량과 동시분석 검출을 위한 방법은 RP-HPLC/UV 검출기를 이용하여 성공적으로 개발되었다. 따라서 본 연구결과를 바탕으로 하여 사료 중의 유기산의 분석이 신속하고 정확해졌을 뿐 아니라, 다른 종류의 사료 또한 이를 적용하여 효율적으로 이용할 수 있을 것으로 판단된다.

• Clean Technology
• /
• v.27 no.4
• /
• pp.315-324
• /
• 2021

In this study, a vanadium catalyst study was conducted on the various characteristics of the exhaust gas in the Selective-Catalytic-Reduction (SCR) method in which nitrogen oxides emitted from cogeneration using biogas are removed by using ammonia as a reducing agent and a catalyst. V/W/TiO₂, a commercial catalyst, was used as the catalyst in this study, and the effect was confirmed according to the tungsten content under various operating conditions. As a result of the NH₃-SCR experiment, the denitrification performance was confirmed at 380 ~ 450 ℃ more than 95%, and durability to trace amounts of SO₂ was confirmed through the SO₂ durability experiment and TGA analysis. As a result of H₂-TPR analysis, the higher the tungsten content, the better the redox properties. Accordingly, enhanced oxidizing properties were confirmed in the oxidation test for a trace amount of carbon monoxide emitted from the cogeneration. In NH₃-DRIFTs analysis, it was confirmed that the higher the tungsten content, the higher both the Bronsted/Lewis acid sites and the better the thermal durability when tungsten is added to the catalyst. Based on the experiments under various operating conditions, it is considered that a catalyst with a high tungsten content is suitable to be applied to cogeneration using biogas.

• Science of Emotion and Sensibility
• /
• v.23 no.4
• /
• pp.117-142
• /
• 2020

This study aims to look for the main transport road of the ancient Silk Road and to add to the hidden history of silk, where little is known about the weaving technology of the beautiful silk of GoJoseon. The research was through the analysis of relics of empirical data and analyzed the secondary data collected from books, papers, and photos of artifacts. The research questions are as follows: First, investigates the environment of silk production for GoJoseon KyungGeum and the correlation between ancient Silk Road and the East region. Second, examines the advanced weaving technology of KyungGeum in GoJoseon. The findings of the study are as follows: It is possible to infer the production period of silk in GoJoseon through jade silkworms from the Hongsan Dong-Yi culture of 4500 BC. KyungGeum pieces were excavated in Louran, Astana and Niya of the Xinjiang Autonomous Region and Noin-Ula of Mongolia, and the oldest KyungGeum was found in JoYang, one of the capitals of GoJoseon near Balhae Bay. KyungGeum was invented in the 11th century BCE here. It became the brocade and damask of the West, which were delivered through steppe road before the 5~6th century BCE. The production of KyungGeum was possible through the advanced loom which is GoJoseon's horizontal square 'Jewharu' loom combined with a high level of weaving skill. This can't be made through the slant loom of China nor vertical loom of the West Asia. Based on these results, it is suggested to continue the research on the history of ancient silkroad.

• Journal of Life Science
• /
• v.32 no.6
• /
• pp.476-481
• /
• 2022

Ubiquitin signaling regulates virtually all aspects of eukaryotic biology and dynamic processes in which protein substrates are modified by ubiquitin. To regulate these processes, deubiquitinating enzymes (DUBs) cleave ubiquitin or ubiquitin-like proteins from these substrates. DUBs have been implicated in the pathogenesis of cancer, leading to the development of increasing numbers of small-molecule DUB inhibitors. On the other hand, recent studies have focused on the function of DUBs in metabolic diseases such as obesity, diabetes, and fatty liver diseases. DUBs play a positive or negative role in the progression and development of metabolic diseases. Their involvement in cell pathology and regulation of major transcription factors in metabolic syndrome has been examined in vitro and in animal and human biopsies. UCH, USP7, and USP19 were linked to adipocyte differentiation, body weight gain, and insulin resistance in genetic or diet-induced obesity. CYLD, USP4, and USP18 were found to be closely associated with fatty liver diseases. In addition, these liver diseases were accompanied by body weight change in certain cases. Collectively, in this review, we discuss the current understanding of DUBs in metabolic diseases with a particular focus on obesity. We also provide basic knowledge and regulatory mechanisms of DUBs and suggest these enzymes as therapeutic targets for metabolic diseases.

• Journal of Bio-Environment Control
• /
• v.31 no.4
• /
• pp.366-375
• /
• 2022

The monitoring of electricity consumption using Internet of Things (IoT) technology is attracting attention as a technology to reduce operation costs of smart farms. In this study, we propose a method to apply a real-time electrical consumption monitoring system (the e-Gauge system) and utilization of the collected data real-time while a melon-producing smart farm is in operation. For this purpose, the electrical consumption data for the individual smart-farm facilities such as boilers, nutrient distribution systems, automatic controllers, circulation fans, boiler controllers, and other IoT-related utilities were collected during three months of melon cultivation period. By using the monitoring results, the electrical energy consumption pattern was analyzed as an example, and necessary considerations needed to optimally utilize the measurement data were suggested. This paper will be useful in lowering the technological implementation barriers for new researchers to build a electrical consumption monitoring system and reducing trial and errors in the usage of the generated data.

• Korean Journal of Community Nutrition
• /
• v.28 no.4
• /
• pp.302-316
• /
• 2023

Objectives: The study aim was to identify changes in the nutritional status of older adults during the COVID-19 pandemic according to household income and demographic characteristics. Methods: Study participants were 2,408 adults aged 65 and over who participated in the 2019-2020 Korea National Health and Nutrition Examination Survey (KNHANES). To examine changes in nutrient intake levels resulting from COVID-19, data of 2019 and of 2020 were compared. Study participants were divided into three groups based on household income level to compare these changes. The changes were compared according to household income level, age group, and household type. Results: Percentages of recommended intakes for energy, protein, and most micronutrients were the lowest for the low-income group of both males and females in 2020. The Mean Adequacy Ratio (MAR) score was the lowest for the low-income group in both years. When comparing nutrient density for 2019 and 2020 by income group, the male low-income group experienced a decrease in nutrient densities of vitamin A, thiamine, calcium, and iron. For the same group, a decreased percentage for energy intake from protein was noted. Fruit intake was lowest in the low-income group for both males and females. Low-income males had the lowest intake levels for meat, fish, eggs, and legumes in both 2019 and 2020 and the lowest milk and milk product intake levels in 2020. Older adults living alone or single older adults with children had lower MAR scores than those living with a spouse. Older adults living alone experienced decreases in energy and thiamine and iron intake levels in 2020 compared to their intake levels in 2019. Conclusions: Because of the COVID-19 pandemic, nutrition intake levels worsened for older adult males in the low-income group and older adults living alone. This finding shows the need for a more systematic nutritional support strategy for the vulnerable older adults population in national disaster situations.

• Journal of Life Science
• /
• v.33 no.4
• /
• pp.371-381
• /
• 2023

Endocrine disrupting chemicals (EDCs), used in a variety of products in modern society, are hormone-like substances that cause various diseases. Humans are exposed to EDCs through their inclusion in pesticides, plastics, cosmetics, detergents, and drugs. Bisphenol A (BPA), one of the representative endocrine disruptors, is an estrogen-like substance that has been widely used commercially in plastic and epoxy resins. BPA is a chemical that can disrupt the endocrine system, leading to reduced reproductive function, obesity, cancer, and neurodevelopmental disorders. Since the adverse health effects of BPA began to be reported the use of BPA has been regulated worldwide. Various alternatives to BPA have been widely used worldwide; representatively, bisphenol S (BPS) and bisphenol F (BPF) are the most commonly used in commercial contexts. BPS and BPF may cause endocrine-disrupting effects like those of BPA due to their similar chemical structures. Recent studies have reported that BPS and BPF disrupt the neurodevelopmental process and cause neurodevelopmental disorders. Therefore, future studies will be required for safety verification of BPA alternatives and the development of new alternatives to BPA for brain health. In this review, we reviewed the effects of BPA and the alternatives, BPS and BPF, on the nervous system.

• Journal of Intelligence and Information Systems
• /
• v.29 no.4
• /
• pp.165-184
• /
• 2023

Recently, Deep learning analysis of unstructured text data using language models, such as Google's BERT and OpenAI's GPT has shown remarkable results in various applications. Most language models are used to learn generalized linguistic information from pre-training data and then update their weights for downstream tasks through a fine-tuning process. However, some concerns have been raised that privacy may be violated in the process of using these language models, i.e., data privacy may be violated when data owner provides large amounts of data to the model owner to perform fine-tuning of the language model. Conversely, when the model owner discloses the entire model to the data owner, the structure and weights of the model are disclosed, which may violate the privacy of the model. The concept of offsite tuning has been recently proposed to perform fine-tuning of language models while protecting privacy in such situations. But the study has a limitation that it does not provide a concrete way to apply the proposed methodology to text classification models. In this study, we propose a concrete method to apply offsite tuning with an additional classifier to protect the privacy of the model and data when performing multi-classification fine-tuning on Korean documents. To evaluate the performance of the proposed methodology, we conducted experiments on about 200,000 Korean documents from five major fields, ICT, electrical, electronic, mechanical, and medical, provided by AIHub, and found that the proposed plug-in model outperforms the zero-shot model and the offsite model in terms of classification accuracy.

• Journal of Digital Convergence
• /
• v.21 no.3
• /
• pp.33-39
• /
• 2023

This study is a performance evaluation of a blood sugar monitoring system that combines a PPG sensor, which is an evaluation device for blood glucose monitoring, and a DNN algorithm when monitoring capillary blood glucose. The study is a researcher-led clinical trial conducted on participants from September 2023 to November 2023. PPG-BGMS compared predicted blood sugar levels for evaluation using 1-minute heart rate and heart rate variability information and the DNN prediction algorithm with capillary blood glucose levels measured with a blood glucose meter of the standard personal blood sugar management system. Of the 100 participants, 50 had type 2 diabetes (T2DM), and the average age was 67 years (range, 28 to 89 years). It was found that 100% of the predicted blood sugar level of PPG-BGMS was distributed in the A+B area of the Clarke error grid and Parker(Consensus) error grid. The MARD value of PPG-BGMS predicted blood glucose is 5.3 ± 4.0%. Consequentially, the non-blood-based PPG-BGMS was found to be non-inferior to the instantaneous blood sugar level of the clinical standard blood-based personal blood glucose measurement system.

• Korean journal of food and cookery science
• /
• v.6 no.3 s.12
• /
• pp.95-104
• /
• 1990

This survey was performed to investigate the actual holding conditions of the electric tools, gas tools and small cooking tools in the four Korean big cities; Seoul, Pusan, Kwangju and Taejon. The results were as follows; 1. Each family had more than 8 items on the average, of 24 kinds of electric tools under investigation. The holding ratio of refrigerators was the highest (99.6%), and that of dish washers was the lowest (3.4%). 2. The holding ratio of gas-ranges was the highest(92.2%) and that of gas-ovens was the lowest (2.2%) of 4 kinds of gas tools under investigation. 3. Each family had more than 45 items on the average, of 86 kinds of small cooking tools under investigation. The holdings ratios of openers and wicker baskets were very high (98.2% and 96.6%, respectively), and those of noodle tools and Shinsonros were very low (13.8% and 13.6%, respectively). 4. The holding ratios of various kinds of cooking tools had interrelations with the size of city, housewife's educational background, family income, house style, private residence, etc.