• Journal of Life Science
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• v.31 no.2
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• pp.248-255
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• 2021

Mammary gland tumors are one of the most common cancers in female dogs, and there are various types of cells depending on the tumor type. Complex carcinoma consists of a combination of luminal epithelial and myoepithelial cells with intra-tumoral heterogeneity. However, the origins of these tumor cells and their effects on the malignancies of tumors have not been identified. Recently, it has been reported that cancer stem cells, identified in several types of human tumors, are involved in tumor heterogeneity and may also contribute to malignancies such as tumor recurrence and metastasis. Interestingly, cancer stem cells share several abilities of self-renewal and cell differentiation into multiple types of cancer cells, but they have abnormal genetic mutation and signal transduction pathways to regulate the maintenance of stem cell characters. Moreover, it is known that these cell populations contribute to cell metastasis as well as cell resistance against chemo- and radio-therapeutics that promote tumor recurrence. The existence of cancer stem cells might explain the intra-tumoral heterogeneity and cancer aggressiveness during tumorigenesis in canine mammary gland tumors. This review summarizes the characteristics and types of canine mammary gland tumors, the definition of tumor stem cells, methods of isolation, and clinical significance.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.239-244
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• 2021

With the entry into an aged society, interest and demand for the elderly are increasing. The rapid increase in the elderly is calling for change in various fields. As the opportunities and desires of the elderly to participate in society increase, research on services suitable for the elderly society is needed. Although the expansion of convenience facilities and improvement of the system are being made to solve problems arising from the elderly society, there are many shortcomings in the increasing demand of the elderly. In addition, due to aging, they have difficulty in living independently and independently due to the decline in their daily life ability and physical function. To solve these problems, the government and local governments provide various services for the elderly. The service for the elderly is provided based on the general characteristics of the elderly, so it has limitations in customized services. In this paper, present a service model using extended information in ICT-based services to complement these problems. Scalable information uses IoT environments to collect information and environmental information for the elderly. Service support using information on the expansion of the elderly shall identify the characteristics of the elderly and support appropriate services when users request services. The proposed method may support self-reliance services that reflect the characteristics and needs of the elderly.

• Food Science and Industry
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• v.50 no.2
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• pp.37-51
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• 2017

Food packaging strategies have steadily improved with increasing demand for improved food safety, convenience, and shelf life. The development of edible film has been hailed as a technology substituting packaging using synthetic plastics. There has been a surge for research to develop antimicrobial edible films and coatings that can increase microbiological safety while preserving foods. This review addresses recent results that are useful in advancing and extending research into antimicrobial edible films. In this review, we suggest the trend of the development of antimicrobial edible film/coatings by outlining edible film materials, antimicrobial substances, antimicrobial and physical properties of the films, commercial antimicrobial edible films, and methods to statistically predict the efficacy of antimicrobial edible film/coatings, reported in recent studies.

• International Area Studies Review
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• v.21 no.4
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• pp.125-139
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• 2017

This study analyzes the determinants and patterns of regional migration in Myanmar. Population migration is affected by various factors such as economic and social factors as well as regional characteristics. It is affected by factors such as income, employment and social overhead capital. Therefore, this study attempts to analyze the following two research problems. First, I would like to analyze whether the reform and opening of Myanmar is causing the migration of rural to urban population. Myanmar is also trying to verify the pattern of population migration experienced by other developing countries. Second, we analyze the impact of social overhead capital on population migration in Myanmar. We analyze the impact of basic infrastructure such as roads, electricity and water on population movements. This will give implications for investment policy decision of social overhead capital for balanced regional development. First, the pattern of population migration in Myanmar is shifting from rural to urban areas, as other developing countries have experienced. Myanmar's urban areas of Yangon and Mandalay have been analyzed as having migration. Second, the expansion of social overhead capital was found to have an impact. Social overhead capital such as roads and educational environments were analyzed to have the capacity to inhale the population. Especially, the educational environment of the region has a great effect on population migration. It is analyzed that education reform is an important policy issue for the balanced regional development of Myanmar. Fourth, employment opportunities were analyzed to have the greatest impact on Myanmar population movements. In the early stage of economic development, it is analyzed that the population moves to a region where employment opportunity is high in the situation where foreign capital is coming in. It is analyzed that the direction of inflow of foreign capital and the imbalance of development in the region will be determined in the situation where the economic development is carried out through foreign capital.

• The Journal of Korean Philosophical History
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• no.31
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• pp.113-141
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• 2011

Everyone knows the importance of environmental education, which is essentially required especially today. In particular, the education could influence greatly students who have to get in their class and they might build their own thought on the basic concept regarding environment and ecosystem through their elementary school period. But the current elementary education has not the independent subject of 'environment' but only refers to other courses some dealing with it, leading to the highly possible failure of achieving comprehensive and concrete approaches toward environmental education. In that sense, it will be meaningful that based on existing academic discussions and approaches about various environmental issues facing our society, we seek desirable directions for environmental education at primary school for sustainable development that is needed in this era and its possible applications. The concept of sustainable development that puts an importance on the harmony between the development of environment and its preservation should be rather the one which helps to satisfy desires of the future and now generation together and also emphasizes that environmental protection should be primarily considered even in the situation in which economic development could be seen necessary. Therefore, the key to environmental education for sustainable development lies in building the attitude respecting 'life and nature' and such value will be accomplished through education.

• Food Engineering Progress
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• v.22 no.4
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• pp.328-336
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• 2018

The aim of this study was to investigate the effect of pretreatments on quality of frozen peach. Pretreatments including steam blanching, water blanching, high pressure, and osmotic dehydration were applied to two varieties (Daeokgye and Hwangdo). Pretreated peaches were frozen and thawed at $-20^{\circ}C$ and $5^{\circ}C$, respectively. Steam blanching and osmotic dehydration with ascorbic acid reduced ${\Delta}E$ values without change of pH and acidity. Osmotic dehydration with sucrose decreased drip loss and increased brix. Freezing/thawing resulted in an increase of maximum force, while maximum force decreased with increasing time of steam and water blanching. Furthermore, osmotic dehydration with calcium chloride increased maximum force. High pressure decreased maximum force of Daeokgye and increased that of Hwangdo compared with non-treatment. Total polyphenol content, DPPH radical scavenging activity, and ABTS radical scavenging activity were improved by pretreatment including steam blanching, blanching, and osmotic dehydration with ascorbic acid.

• Journal of the Korean Fracture Society
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• v.30 no.4
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• pp.186-191
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• 2017

Purpose: The purpose of this study was to investigate the radiological and epidemiological characteristics, as well as the clinical course of pelvic insufficiency fractures in the elderly population. Materials and Methods: At a Haeundae Paik Hospital, we retrospectively reviewed patients with pelvic insufficiency fractures between March 2010 and May 2017. The demographic data of patients were analyzed, and bone mineral density and bone turnover markers were evaluated to estimate the metabolic status of the bone. The radiological characteristics were evaluated by comparing the simple x-ray images with the computed tomography images, and the types of fractures were classified via computed tomography images. For clinical course evaluation, we investigated comorbid complications, and compared the walking ability scale before and 6 months after the fracture. Results: A total of 42 patients were included, with an average age of 76.5 years. All were female except one case. In 5 cases where the initial medical examination was from another institution, the fracture was not found in 3 cases. All cases received conservative treatment. After the diagnosis of pelvic bone fracture using a simple x-ray imaging, additional fractures were found in 81.0% of the study population using a computed tomography. Initiation of gait occurred at an average of 2.8 weeks, and every case except 1 (97.6%) fully recovered their gait ability. Conclusion: We concluded that there was a limitation with diagnosing pelvic insufficiency fracture using only a simple x-ray imaging technique. In general, cases in this study showed conservative treatment yielded favorable clinical outcome with relatively less critical complications.

• Maritime Security
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• v.1 no.1
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• pp.241-271
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• 2020

The military technology currently receiving the most attention is the hypersonic missile. hypersonic is faster than the speed of sound or Mach 5+. The vast majority of the ballistic missiles that it inspired achieved hypersonic speeds as they fell from the sky. Rather than speed, today's renewed attention to hypersonic weapons owes to developments that enable controlled flight. These new systems have two sub-varieties: hypersonic glide vehicles and hypersonic cruise missiles. Hypersonic weapons could challenge detection and defense due to their speed, maneuverability, and low altitude of flight. The fundamental question of this study is: 'What effect will the hypersonic missile have on the maritime strategy?' It is quite prudent to analyze and predict the impact of technology in the development stage on strategy in advance. However, strategy is essential because it affect future force construction. hypersonic missiles act as a limiting factor in securing sea control. The high speed and powerful destructive power of the hypersonic missile are not only difficult to intercept, but it also causes massive ship damage at a single shot. As a result, it is analyzed that the Securing sea control will be as difficult as the capacity of sea denial will be improved geographically and qualitatively. In addition, the concept of Fortress Fleet, which was criticized for its passive strategy in the past, could be reborn in a modern era. There are maritime power projection/defence, SLOC attack/defence in exploiting sea control. The effects of hypersonic missiles on exploiting sea control could be seen as both limiting and opportunity factors.

• Korean Journal of Food Science and Technology
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• v.52 no.6
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• pp.670-677
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• 2020

To prevent contamination by Campylobacter jejuni during chicken carcass processing, the effect of emulsifiers on C. jejuni inoculated on chicken skin was investigated using confocal laser scanning microscopy. Among the 8 emulsifiers (SWA-10D, L-7D, M-7D, S-1670, L-1695, P-1670, polysorbate 20, polysorbate 80) tested for antimicrobial activity by the paper disk method, 4 emulsifiers (L-7D, L-1695, polysorbate 20, polysorbate 80) were screened further. Emulsifier L-1695 showed the largest clear zone at a concentration of 200 mg/mL. The 4 emulsifiers subjected to primary screening were screened for heat and pH stability. In the contact surface test, emulsifier L-1695 showed the lowest log CFU/㎠ value on both stainless steel and ceramic surfaces. When emulsifier L-1695 was applied via general and electrostatic spray methods, the number of C. jejuni entrapped inside chicken skin follicles was significantly reduced in both methods. In conclusion, the emulsifier L-1695 could be employed as a microbial detachment agent in the chicken carcass processing industry.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.