• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.235-245
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• 2019

Despite various treatments, there is a tendency of convicted sex offenders to recidivate by committing additional sex crimes. Especially when the offenders are diagnosed comorbidly with paraphilia and personality disorders, effective treatment is critical because this difficult condition can be harmful to their psychological well-being and the security of the communities in which these men live. The aim of this review is to examine the comorbidity of personality disorders and paraphilia in the male sex offender population. This study is highly meaningful as not only it is the first domestic research on the link between paraphilia and sex crimes, integrating the preceding data from both domestic and international research, but also as it synthesizes the studies of criminal psychology, social welfare and clinical psychology.

• Journal of Food Hygiene and Safety
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• v.34 no.4
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• pp.317-324
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• 2019

This study focuses on the role of nanotechnology in the field of food industries. Bioactive components with antimicrobial activity against food pathogens are encapsulated into nanoparticles (NPs) to improve and extend their efficiency in food preservation. However, these NPs should be biocompatible and nontoxic for humans. Advancement in this field has resulted in the development of NPs for food packaging in some industries. The most commonly used group of NPs in the food industry is metal oxide. As metal oxide NPs such as zinc oxide and titanium dioxide exhibit antimicrobial activity in food materials, the NPs can be used for food preservation with enhanced functional properties. The application and effects of nanotechnology in correlation with the nutritional and sensory properties of foods were briefly discussed with a few insights into safety regulations on nano-based food formulation and preservation.

• Applied Chemistry for Engineering
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• v.30 no.3
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• pp.280-289
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• 2019

5-hydroxymethylfurfural (HMF) and its derivatives, 2,5-furandicarboxylic acid (FDCA) or 2,5-diformylfuran (DFF), are regarded as the "sleeping giants" owing to their wide range of applications and a good alternative source for the production of significant chemicals in almost all kind of industries. This mini-review briefly covers the aspects related to the syntheses, transformation, and applications for the biomass-derived platform chemicals from past to most recent. Many scientific efforts have continuously been made to find out the environmental benign applicable ways in order to achieve the full advantage of these renewable materials because of not only to protect the globe but also shield the future of new generations. One of the best solutions could be the development and utilization of platform chemicals from the natural biomass.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.484-491
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• 2021

This study was undertaken to identify success factors of traditional market delivery apps and lead digital transformation of traditional markets. The success factors of traditional market delivery apps are represented by four variables: system characteristics of the app, delivery, products, and responsibility towards customer responses. These factors were analyzed to examine their impact on the operations performance. Data was collected by surveying 148 traditional market business owners. Results of the empirical analysis revealed that the app system characteristics, delivery characteristics, and product sales promotion, impart a significant effect on the operations performance. Conversely, the customer response characteristics showed no significant effects. This could be because some apps lack the function to check customer reviews and respond appropriately. Currently, where traditional market delivery apps are in the early stages of implementation and are gradually expanding, data obtained from this study helps to identify characteristics of traditional market delivery apps, and offers suggestions to create development indicators of the traditional market delivery apps by analyzing their effects on operational performance, thereby contributing to the revival of traditional markets through digital transformation.

• Sleep Medicine and Psychophysiology
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• v.27 no.2
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• pp.51-55
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• 2020

In this paper, we reviewed domestic and foreign cases and evaluation methods for validation of sleep products for development of the domestic sleep industry. Foreign companies and organizations are trying to verify products relatively systematically for demonstration purposes, but they are using different methods depending on the institution, and standardized validation guidelines have not been established. In Korea, there has been little evaluation including objective verification for sleep products. Sleep-wake evaluation for validation of sleep products requires expert evaluation of the product and of the product effectiveness by users, and subjective and objective sleep-wake evaluations and circadian rhythm evaluation methods can be used. For more accurate verification, experimental designs such as randomization method, control product utilization method, and cross-experiment design can be used.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.295-302
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• 2021

The purpose of this paper is to pay attention to the problems of the elderly in our society, which is facing an aged society, to understand the lives of the elderly and to recognize the need for retirement and death preparation. It reviews and analyzes the story of So-young, the main character of the movie "Killing Woman," according to the context of the work. The narrative of the film illustrates the problems of suffering for the elderly, such as poverty, disease, dementia, loneliness, and fear of death. In the face of the ultra-aged era, institutional supplementation measures for underprivileged senior citizens at the national level should be established, and social interest and safety nets should be secured, and specific retirement preparations are needed personally. Furthermore, support for research and education of old age preparation education programs and death education programs to prepare for retirement and death should be continuously provided.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.1-13
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• 2021

With the global pandemic of COVID-19, it is pointed out that exposure to false information to the public could cause serious problems. However, in pandemic situations, there is also an positive effect for the public to share private-led information rather than centralized unilateral delivery of information. This study analyzes the role of private-led information provision in infectious disease situations. To this end, topic modeling and sentiment analysis is carried out on online reviews of all COVID-19-related applications in Google Playstore provided by the Korean government and the private. The results showed that the user's evaluation of private apps, which were used from the early stage of COVID-19, was much higher than the apps provided by the government. In particular, users responded more positively to private apps than government apps in all aspects such as reliability of information, risk avoidance, timeliness, usefulness, and stability. Based on these results, a post-monitoring system is recommended rather than a pre-block of all private apps.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.221-227
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• 2021

Since there are almost no scales for measuring the size of We-Chat applets, and most of the existing We-Chat applets are grafted through the original APP application, At present, the application scope of We-chat applets which is mainly in /shopping/life/food application. Thus, the purpose of this research is to focus on the iPhone app store, collect data on the top five of APP-STORE through users' comments and The high-frequency words will be obtained for statistics, and the variables of this study will be set up. Last, develop relevant Empirical research on the size and measurement scale of the We-Chat applet. Therefore, how to use We-Chat applets to improve user experience, we can create their own user private domain traffic for We-Chat applets and achieve long-term market competitiveness.

• Membrane Journal
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• v.32 no.2
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• pp.83-90
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• 2022

Wastewater from refineries and petroleum plant lead to severe environmental pollution. There are various existing processes applied for oily water treatment, but membrane-based technology is one of the most efficient methods. Polymeric membranes prepared from organic materials for the separation of oil in water often face chronic problem of membrane fouling. Inorganic membranes are considered to be more efficient due to longer lifetime than organic membranes. Zeolite membranes have better chemical stability and long-term recyclability. The presence of hydrophilicity enhances the water flux of membrane. Ceramic membranes prepared from zeolites are another efficient class of inorganic membranes applied for oil water separation. This review is focused on oily wastewater separation based on zeolite membrane which classified into two categories, i) neat zeolite and ii) zeolite composites with other materials.

• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.667-684
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• 2022

Gene expression data present the level of mRNA abundance of each gene, and analyses of gene expressions have provided key ideas for understanding the mechanism of diseases and developing new drugs and therapies. Nowadays high-throughput technologies such as DNA microarray and RNA-sequencing enabled the simultaneous measurement of thousands of gene expressions, giving rise to a characteristic of gene expression data known as high dimensionality. Due to the high-dimensionality, learning models to analyze gene expression data are prone to overfitting problems, and to solve this issue, dimension reduction or feature selection techniques are commonly used as a preprocessing step. In particular, we can remove irrelevant and redundant genes and identify important genes using gene selection methods in the preprocessing step. Various gene selection methods have been developed in the context of machine learning so far. In this paper, we intensively review recent works on gene selection methods using machine learning approaches. In addition, the underlying difficulties with current gene selection methods as well as future research directions are discussed.