• Korean Journal of Clinical Laboratory Science
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• v.53 no.4
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• pp.285-295
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• 2021

Sleep plays an important role in maintaining overall human health. There is increasing interest regarding the impact of sleep related disorders on metabolic diseases. Obstructive sleep apnea (OSA) is a common health problem, and in the last decade, the emergence of increasing obesity rates has further led to a remarkable increase in the prevalence of OSA, along with more prominent metabolic diseases. Obesity is the strongest risk factor for OSA. However, OSA is also known to cause obesity, suggesting an interaction between OSA and obesity. Although the underlying mechanisms leading to OSA-induced metabolic diseases are probably multi-factorial and are yet to be fully elucidated, the activation of inflammation and oxidative stress and the dysregulation of appetite-regulating hormones have emerged as important pathophysiological components of metabolic dysfunction and obesity observed in patients with OSA. Here, we will review the current state of research regarding the association of OSA with metabolic diseases and the possible pathophysiological mechanisms by which OSA could lead to such diseases. This will enhance our understanding of the potential interactions between OSA and obesity and between OSA and metabolic dysfunction.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.10
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• pp.421-428
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• 2021

The High Efficiency Image File Format (HEIF) is an MPEG-developed image format that utilizes the video codec H.265 to store still screens in a single image format. The iPhone has been using HEIF since 2017, and Android devices such as the Galaxy S10 have also supported the format since 2019. The format can provide images with good compression rates, but it has a complex internal structure and lacks significant compatibility between devices and software, making it not popular to replace commonly used JPEG (or JPG) files. However, despite the fact that many devices are already using HEIF, digital forensics research regarding it is lacking. This means that we can be exposed to the risk of missing potential evidence due to insufficient understanding of the information contained inside the file during digital forensics investigations. Therefore, in this paper, we analyze the HEIF formatted photo file taken on the iPhone and the motion photo file taken on the Galaxy to find out the information and features contained inside the file. We also investigate whether or not the software we tested support HEIF and present the requirement of forensic tools to analyze HEIF.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.409-418
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• 2021

Conformal coating is a technology that protects PCB(Printed Circuit Board) and minimizes PCB failures. Since the defects in the coating are linked to failure of the PCB, the coating surface is examined for air bubbles to satisfy the successful conditions of the conformal coating. In this paper, we propose an algorithm for detecting problematic bubbles in high-risk groups by applying image signal processing. The algorithm consists of finding candidates for problematic bubbles and verifying candidates. Bubbles do not appear in visible light images, but can be visually distinguished from UV(Ultra Violet) light sources. In particular the center of the problematic bubble is dark in brightness and the border is high in brightness. In the paper, these brightness characteristics are called valley and mountain features, and the areas where both characteristics appear at the same time are candidates for problematic bubbles. However, it is necessary to verify candidates because there may be candidates who are not bubbles. In the candidate verification phase, we used convolutional neural network models, and ResNet performed best compared to other models. The algorithms presented in this paper showed the performance of precision 0.805, recall 0.763, and f1-score 0.767, and these results show sufficient potential for bubble test automation.

• Journal of fish pathology
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• v.34 no.2
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• pp.141-147
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• 2021

In this study, of the imported shrimps between 2017 and 2020, we investigated white spot syndrome virus (WSSV), covert mortality nodavirus (CMNV) and decapod iridescent virus 1 (DIV-1). Of the imported shrimps (a total of 29 groups), WSSV was detected as 31% (9/29) by nested PCR assay. And CMNV and DIV-1 were not identified in this study. To investigate the genetic relatedness of WSSV identified from imported shrimp, VR 14/15 region showed WSSV genomic variable loci was compared with reference isolates. Among the nine WSSV-positive samples, VR 14/15 region was amplified in only a sample (20-CH-1 isolate, imported from China in 2020). And the 20-CH-1 isolate showed 99.8% identity with WSSV-IN-05-01 which was reported in India in 2005, suggesting that those of WSSV have been spread from India to China. Furthermore, although the pathogenicity of WSSV identified from frozen shrimp was not evaluated, the international trade of diseased frozen shrimps could be led to the potential risk of virus transmission.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.338-344
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• 2021

Elements that threaten domestic security, such as diplomatic changes in the four major powers surrounding the Korean Peninsula and restrictions on supply and demand of parts due to COVID-19, are constantly increasing. The importance of localizing weapon systems has grown to respond proactively to the threat. As localization is not conducted evenly by the field, it is necessary to change the criteria for selecting localization targets. Establishing standards for selecting targets is difficult due to a lack of research to identify targets. This paper emphasized that the smooth supply of parts from overseas should be examined to identify targets for localization. If suppliers are not distributed evenly in the market, there is a risk of potential supply problems. CRk and HHI, representing the market structure, were proposed as indicators for evaluating the degree of smoothness quantitatively. Among them, CRk is used in Korea to check the market concentration, but there is a limit in the subjectivity of the evaluator, so it cannot be applied without a separate study on the market structure. Therefore, HHI should be applied.

• The Journal of Internal Korean Medicine
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• v.40 no.3
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• pp.409-424
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• 2019

Objectives: This research aimed to confirm the efficacy of oriental medicine in sixth cranial nerve palsy and to evaluate the quality of the studies. Methods: Using the medical subject heading (MeSH) keywords "abducens nerve palsy", "abducens nerve paralysis", "sixth nerve palsy", "herbal medicine", "Chinese medicine", "oriental medicine" and "acupuncture", we collected the research papers through an electronic database search in Oriental Medicine Advanced Searching Integrated System (OASIS), National Discovery for Science Leaders (NDSL), PubMed, Cochran Library, and China National Knowledge Infrastructure (CNKI). Results: A total of 136 papers were searched from the databases. Among these, 15 case reports and 8 randomized controlled trials (RCTs) met our criteria. 17 articles were found on the use of acupuncture as the main intervention, 11 on the use of herbal medicine as the main intervention, and 9 on the use of electroacupuncture as the main intervention. The frequently used acupoints were LI4, EX-HN5, GB1, BL2, TE23, LR3, BL1, ST2, GB20, and ST36. All 23 studies confirmed the efficacy of Korean medicine. According to the assessment using the risk of bias, the overall quality of the RCTs was low. Conclusions: Twenty-three papers suggested that Korean medicine treatment for abducens nerve palsy was effective in many cases. Analyzing the potential bias was difficult.

• Parasites, Hosts and Diseases
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• v.57 no.4
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• pp.341-357
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• 2019

Acanthamoeba, one of free-living amoebae (FLA), remains a high risk of direct contact with this protozoan parasite which is ubiquitous in nature and man-made environment. This pathogenic FLA can cause sight-threatening amoebic keratitis (AK) and fatal granulomatous amoebic encephalitis (GAE) though these cases may not commonly be reported in our clinical settings. Acanthamoeba has been detected from different environmental sources namely; soil, water, hotspring, swimming pool, air-conditioner, or contact lens storage cases. The identification of Acanthamoeba is based on morphological appearance and molecular techniques using PCR and DNA sequencing for clinico-epidemiological purposes. Recent treatments have long been ineffective against Acanthamoeba cyst, novel anti-Acanthamoeba agents have therefore been extensively investigated. There are efforts to utilize synthetic chemicals, lead compounds from medicinal plant extracts, and animal products to combat Acanthamoeba infection. Applied nanotechnology, an advanced technology, has shown to enhance the anti-Acanthamoeba activity in the encapsulated nanoparticles leading to new therapeutic options. This review attempts to provide an overview of the available data and studies on the occurrence of pathogenic Acanthamoeba among the Association of Southeast Asian Nations (ASEAN) members with the aim of identifying some potential contributing factors such as distribution, demographic profile of the patients, possible source of the parasite, mode of transmission and treatment. Further, this review attempts to provide future direction for prevention and control of the Acanthamoeba infection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.336-345
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• 2019

To extend the potential benefits of error, the current study examined factors that affect students' error perception in classroom. An experimental design was used to measure relations of classroom goal structure, feedback, and social relationships on students' perception of error. A total 316 fourth, fifth, and sixth graders attending elementary schools participated as part of their regular class curriculum. Self-reported questionnaires were administered to measure students' perception of errors and relationships with teacher and peers, then students were manipulated by classroom goal structure and feedback. Results from multiple regression suggest that students' perception of learning from error has affected by relationships with peers at the most, then relationships with teacher and the type of feedback. Students' perception of risk taking for error also affected by relationships with peers and teacher, then the classroom goal structure. However, no classroom goal structure and feedback affect on their perception of thinking about error to improve their learning as well as error strain. These results imply how classroom climate should be structured to improve perception of errors to improve student's learning.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.4
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• pp.337-347
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• 2018

Weather causes much of the risk of agricultural activity. For efficient farming, we need to use weather information. Modern agriculture has been developed to create high added value through convergence with state-of-the-art Information and Communication Technology (ICT). This study deals with the quality control algorithms of weather monitoring equipment through Ubiquitous Sensor Network (USN) observational equipment for efficient cultivation of cabbage. Accurate weather observations are important. To achieve this goal, the Korea Meteorological Administration, for example, developed various quality control algorithms to determine regularity of the observation. The research data of this study were obtained from five USN stations, which were installed in Anbandegi and Gwinemi from 2015 to 2017. Quality control algorithms were developed for flat line check, temporal outliers check, time series consistency check and spatial outliers check. Finally, the quality control algorithms proposed in this study can also identify potential abnormal observations taking into account the temporal and spatial characteristics of weather data. It is expected to be useful for efficient management of highland cabbage production by providing quality-controlled weather data.

• Korean Journal of Remote Sensing
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• v.34 no.6_4
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• pp.1545-1553
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• 2018

Recent eruptive activity at Kīlauea Volcano started on at the end of April in 2018 showed rapid ground deflation between May and June in 2018. On summit area Halema'uma'u lava lake continued to drop at high speed and Kīlauea's summit continued to deflate. GPS receivers and electronic tiltmeters detected the surface deformation greater than 2 meters. We explored the time-series surface deformation at Kīlauea Volcano, focusing on the early stage of eruptive activity, using multi-temporal COSMO-SkyMed SAR imagery. The observed maximum deformation in line-of-sight (LOS) direction was about -1.5 meter, and it indicates approximately -1.9 meter in subsiding direction by applying incidence angle. The results showed that summit began to deflate just after the event started and most of deformation occurred between early May and the end of June. Moreover, we confirmed that summit's deflation rarely happened since July 2018, which means volcanic activity entered a stable stage. The best-fit magma source model based on time-series surface deformation demonstrated that magma chambers were lying at depths between 2-3 km, and it showed a deepening trend in time. Along with the change of source depth, the center of each magma model moved toward the southwest according to the time. These results have a potential risk of including bias coming from single track observation. Therefore, to complement the initial results, we need to generate precise magma source model based on three-dimensional measurements in further research.