• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.17-25
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• 2021

The recent surge in consumption of traditional liquor related to health, the results of analyzing the chemical characteristics and antioxidant activity by creating Kwaha-ju and Baekhwha-chun, which use Godubab as a method of treating glutinous and normal grains, are as follows. Kwaha-ju is mainly made of glutinous rice, 5.21~12.52% alcohol content, 1.07~2.47g/L in reducing sugar content, 3.22~3.77% pH, Baikhwha-chun alcohol content was 3~5%, except for some experimental groups, and pH was low. As a result of the spectrum analysis of traditional liquor, 50% of the experimental group in Baikhwa-chun is located in the negative area of PC1 such as overload, and some amino acids such as lactic acid, isoleucine, and choline are the main ingredients of glucose, xylose, and maltose. Therefore, the chemical properties and antioxidant activity of Kwaha-ju and Baikhwa-chun, which show similar composition ratio of traditional liquor materials, and use them as basic data to identify and manufacture traditional liquor fermentation through mutual analysis.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.141-150
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• 2021

Based on Artificial Intelligence technology, AI-enabled warfare is expected to become the main issue in the future warfare. Natural language processing technology is a core technology of AI technology, and it can significantly contribute to reducing the information burden of underrstanidng reports, information objects and intelligences written in natural language by commanders and staff. In this paper, we propose a Language model-based Multi-source Information Integration (LAMII) framework to reduce the information overload of commanders and support rapid decision-making. The proposed LAMII framework consists of the key steps of representation learning based on language models in self-supervsied way and document integration using autoencoders. In the first step, representation learning that can identify the similar relationship between two heterogeneous sentences is performed using the self-supervised learning technique. In the second step, using the learned model, documents that implies similar contents or topics from multiple sources are found and integrated. At this time, the autoencoder is used to measure the information redundancy of the sentences in order to remove the duplicate sentences. In order to prove the superiority of this paper, we conducted comparison experiments using the language models and the benchmark sets used to evaluate their performance. As a result of the experiment, it was demonstrated that the proposed LAMII framework can effectively predict the similar relationship between heterogeneous sentence compared to other language models.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.703-708
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• 2022

Tables and figures in academic literature contain important and valuable information. Tables and figures represent the essence of the refined study, which is the closest to the raw dataset. If so, can researchers easily access and utilize these image data through the search system? In this study, we try to identify user perceptions and needs for image data through user and case studies. Through this study we also explore expected effects and utilizations of image search systems. It was found that the majority of researchers prefer a system that combines table and figure indexing functions with traditional search functions. They valued the provision of an advanced search function that would allow them to limit their searches to specific object types (pictures and tables). Overall, researchers discovered many potential uses of the system for indexing tables and figures. It has been shown to be helpful in finding special types of information for teaching, presentation, research and learning. It should be also noticed that the usefulness of these systems is highest when features are integrated into existing systems, seamlessly link to fulltexts, and include high-quality images with full captions. Expected effects and utilizations for user-centered image search systems are also discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.57-66
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• 2022

The Road Management Administration is cracking down on overloaded vehicles by installing low-speed or high-speed WIMs at toll gates and main lines on expressways. However, in recent years, the act of intelligently evading the overloaded-vehicle control system of the Road Management Administration by illegally manipulating the variable axle of an overloaded truck is increasing. In this manipulation, when entering the overloaded-vehicle checkpoint, all axles of the vehicle are lowered to pass normally, and when driving on the main road, the variable axle of the vehicle is illegally lifted with the axle load exceeding 10 tons alarmingly. Therefore, this study developed a technology to detect the state of the variable axle of a truck driving on the road using roadside camera images. In particular, this technology formed the basis for cracking down on overloaded vehicles by lifting the variable axle after entering the checkpoint and linking the vehicle with the account information of the checkpoint. Fundamentally, in this study, the tires of the vehicle were recognized using the Mask RCNN algorithm, the recognized tires were virtually arranged before and after the checkpoint, and the height difference of the vehicle was measured from the arrangement to determine whether the variable axle was lifted after the vehicle left the checkpoint.

• Journal of Nutrition and Health
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• v.56 no.4
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• pp.361-376
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• 2023

Purpose: This study evaluates the potential protective effects of hemp (Cannabis sativa L.) seed oil supplementation in rats fed a high-cholesterol diet. Methods: Rats were fed a 1.25% cholesterol diet for 8 weeks, followed by oral administration of either of the two doses of hemp seed oil (HO) (0.5 mL/kg (HOL group) or 1 mL/kg (HOH group) body weight/day) or simvastatin at 10 mg/kg body weight/day. Oxidative stress, lipids, liver enzymes, and renal markers were measured in the serum. Western blot analysis was applied for evaluating the expressions of inflammatory makers. Results: Except for HDL-cholesterol, the altered levels of lipoproteins, aminotransferases, urea, and creatine kinases in hypercholesterolemic rats were significantly corrected by HO administration. Especially, compared to the HOH group, HOL treatment further reduced AST, ALT, creatinine, TC, and LDL-cholesterol levels. Moreover, both the atherogenic index and cardiac risk factor (CRF) in the HOL group were more restrained compared to the HOH group. Increased levels of p-AMPK coincided with the inhibition of SREBP-2 activation which subsequently suppressed the expression of HMGCR. Nuclear factor (NF)-κB activation coincided with the PI3K/Akt pathway activation and the increased phosphorylation of p38; these levels were significantly suppressed by HO treatment. In addition, HO treatment markedly reversed the changes in chemokines such as ICAM-1, VCAM-1, and MCP-1. Histological alterations induced by cholesterol overload in cardiac and hepatic tissues were ameliorated by HO supplementation. Conclusion: Taken together, our results indicate a low concentration of HO demonstrates improved dysfunctions caused by a high-cholesterol diet via inhibition of the PI3K/Akt/NF-κB signaling pathway.

• Journal of Ginseng Research
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• v.47 no.3
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• pp.458-468
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• 2023

Background: As a complication of Type II Diabetes Mellitus (T2DM), the etiology, pathogenesis, and treatment of cognitive dysfunction are still undefined. Recent studies demonstrated that Ginsenoside Rg1 (Rg1) has promising neuroprotective properties, but the effect and mechanism in diabetes-associated cognitive dysfunction (DACD) deserve further investigation. Methods: After establishing the T2DM model with a high-fat diet and STZ intraperitoneal injection, Rg1 was given for 8 weeks. The behavior alterations and neuronal lesions were judged using the open field test (OFT) and Morris water maze (MWM), as well as HE and Nissl staining. The protein or mRNA changes of NOX2, p-PLC, TRPC6, CN, NFAT1, APP, BACE1, NCSTN, and Ab1-42 were investigated by immunoblot, immunofluorescence or qPCR. Commercial kits were used to evaluate the levels of IP3, DAG, and calcium ion (Ca²⁺) in brain tissues. Results: Rg1 therapy improved memory impairment and neuronal injury, decreased ROS, IP3, and DAG levels to revert Ca²⁺ overload, downregulated the expressions of p-PLC, TRPC6, CN, and NFAT1 nuclear translocation, and alleviated Aβ deposition in T2DM mice. In addition, Rg1 therapy elevated the expression of PSD95 and SYN in T2DM mice, which in turn improved synaptic dysfunction. Conclusions: Rg1 therapy may improve neuronal injury and DACD via mediating PLC-CN-NFAT1 signal pathway to reduce Aβ generation in T2DM mice.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.35-56
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• 2023

With the development of information and communication technology, numerous reviews are continuously posted on websites, which causes information overload problems. Therefore, users face difficulty in exploring reviews for their decision-making. To solve such a problem, many studies on review helpfulness prediction have been actively conducted to provide users with helpful and reliable reviews. Existing studies predict review helpfulness mainly based on the features included in the review. However, such studies disable providing the reason why predicted reviews are helpful. Therefore, this study aims to propose a methodology for applying eXplainable Artificial Intelligence (XAI) techniques in review helpfulness prediction to address such a limitation. This study uses restaurant reviews collected from Yelp.com to compare the prediction performance of six models widely used in previous studies. Next, we propose an explainable review helpfulness prediction model by applying the XAI technique to the model with the best prediction performance. Therefore, the methodology proposed in this study can recommend helpful reviews in the user's purchasing decision-making process and provide the interpretation of why such predicted reviews are helpful.

• 한국노년학
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• v.31 no.2
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• pp.277-290
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• 2011

The present study examined the impact of work stress and job satisfaction on intention to leave among staff including social workers, nurses, and care workers. The study subject included 235 staff in a welfare organization that provides long-term care services. Data was analyzed using multiple linear regression. The findings of the study show that work stress and job satisfaction affect intention to leave in the context of welfare organizations. Demographic variables were not the main focus of this study and thus these results are incidental. Staff with higher levels of work stress were more likely to think about leaving, while those with grater job satisfaction were less likely. There were several limitations in this study. Generalizability of the findings are limited to staff working in the province of Jeonnam. The results have important implications for the development of strategies to minimize turnover intention in long-term care. Reducing the intent to leave is desirable for issues of both cost reduction and quality of care. Managers could perhaps start to consider decreasing work overload assigned to staff. This study also provides some insight into the work status of new staff. Clearly this finding needs to be explored in further research studies. A more comprehensive model is likely required to adequately explain intention to leave the job.

• 한국노년학
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• v.31 no.1
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• pp.97-109
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• 2011

The purpose of this work is to examine how work stressors are related to the burnout among staff in long-term care facilities for the elderly. This study offers some responses to a growing stress and burnout for the long-term care workers. The demand for long-term care workers is set to rise in light of an increasing share of older people and dependent elderly. Long-term care workers provide long-term care services to persons with a reduced degree of functional, physical or cognitive capacity. Cross-sectional survey data were collected from 216 staff in long-term care facilities. The standardised Maslach Burnout Inventory(MBI) was used to assess levels of burnout in long-term care workers. The MBI consists of 22 items using a 5-point Likert scale, measuring three sub-scales of burnout; Emotional exhaustion, Depersonalization, and Personal accomplishment. Data were analyzed using regression. This study is empirically tested the degree of association between burnout and its antecedents. The majority of differences in burnout could be explained by work stressors such as client relationship, job overload, job role conflict, and conflicts with clients' family. The study also identified workers' perceptions of their image in society and emotional support as predictors of burnout. Therefore long-term care facilities are encouraged to review their practices so that workers well-being is supported. The study findings suggest attention for organizational oriented initiatives to cope with burnout.

• 한국노년학
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• v.29 no.4
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• pp.1591-1609
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• 2009

Adult child caregivers and spousal caregivers might deal with differential challenges. Studies about caregivers' psychological outcomes, however, tended to investigate associations between caregiving and its outcomes by pooling adult child caregivers and spousal caregivers together. By using a U. S. sample of family caregivers who assisted a relative with dementia, this study examined whether the relationship of caregivers to care receivers (daughter caregivers or spousal caregivers) made a difference in levels of depressive symptoms. The result showed that wife caregivers were more likely to be depressed than daughter caregivers. For daughter caregivers, role overload, role captivity, and behavior problems significantly influenced on depression. Besides these variables, the level of education was a significant predictor for wife caregivers. Role captivity and behavior problems significantly impacted on depression for husband caregivers. Thus, role captivity and behavioral problems were common predictors for all the caregivers. Specifically, higher levels of role captivity and behavioral problems were likely to make caregivers more depressed. The implication of these results were discussed.