• Neonatal Medicine
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• v.28 no.1
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• pp.22-28
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• 2021

Purpose: Meconium obstruction of prematurity (MOP) predisposes premature infants to intestinal perforation and prolonged hospitalization if not diagnosed and treated promptly. A standard contrast enema is less effective to treat infants with distal ileal obstructions because the contrast may not reach the obstructed areas. In an effort to avoid risky surgery, we administered oral contrast media to seven clinically diagnosed patients with MOP whose obstructions were not relieved via conventional sonography-guided contrast enema. We retrospectively evaluated whether oral nonionic water-soluble contrast media relieves MOP. Methods: Seven of 67 premature infants with MOP were administered oral contrast media from June 2015 to January 2019. Patients were followed-up radiographically for bowel distention and evacuation of contrast media after oral administration. We recorded radiographic improvements, meconium evacuation, time to first feeding after oral contrast media administration, maternal history, and neonatal clinical factors. Results: We evaluated five male and two female infants. The median gestational ages and body weights at birth were 27⁺⁵ weeks and 890 g, respectively. Radiography in five infants revealed multiple distended intestinal loops without air-fluid interfaces. Two infants had gasless abdomens, in which only stomach gas was visible. Oral contrast media (median, 2.5 mL) were administered at a median age of 7 days; five infants (5/7, 71.4%) responded to this treatment. The remaining two infants, who had ileal stenosis and hypoganglionosis, were surgically managed. Five infants (5/7, 71.4%) had maternal risk factors, and two (28.6%) were small for gestational age. Conclusion: Nonionic oral water-soluble contrast medium can serve as a valuable adjunct treatment in premature infants with meconium obstruction.

• Journal of Nutrition and Health
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• v.52 no.4
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• pp.408-411
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• 2019

Purpose: This study investigated the effect of bioactive Yeonsan Ogye peptides (YOPs) intake on changes in the hepatic anti-oxidant indexes in male rats. Methods: Sprague-Dawley male rats were divided into 3 groups and given a casein-based AIN-93G diet and distilled water ad libitum without any added YOPs (control), distilled water with 250 mg of YOPs (Y250), or 500 mg of YOPs (Y500) per kg of body weight for 4 weeks. YOP dose was decided as referred to in the referenced study where toxicity did not occur. The hepatic anti-oxidant indexes were determined using a commercial kit. Statistical analysis was performed using SPSS version 23.0 and are expressed as $mean{\pm}standard$ error of mean. Differences among the groups were evaluated by one-way analysis of variance followed by post hoc Duncan's multiple comparisons test. Results: There were no differences in the body weights, weight gain, food intake, food efficiency ratio, or organ weight, including liver, kidney, spleen, thymus, and epididymal fat, among all of the groups. The hepatic nitric oxide (NO) level in the Y500 group was lower than that in the control and Y250 groups, and the hepatic malondialdehyde (MDA) level was lower in the Y500 group than in the Y250 group. The differences in hepatic superoxide dismutase (SOD) and catalase (CAT) activities were not statistically significant between the groups. From these results we speculated that YOPs may have anti-oxidative abilities to regulate NO and MDA production without affecting SOD and CAT activities. Conclusion: YOPs are presumed to act as anti-oxidants in the animal or human body.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.291-303
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• 2019

For cities with ancient buildings at core areas, night lighting is an effective means to demonstrate their history and culture. In this regard, night scenes of these ancient buildings are evaluated from multiple aspects, such as color rendition, brightness ratio affected by ambient light and technological realization of lighting facilities. This study builds a visual evaluation system for night scenes of ancient buildings based on three dimensions, namely ancient architecture carrier performance, visual perception and technological realization, and explains specific evaluation sub-criteria one by one. In addition, this study adopts Analytic Hierarchy Process (AHP) to analyze the impact of each sub-criteria item on the weight of the whole evaluation system, and conducts a consistency test to show that the evaluation system meets the reasonable requirements of hierarchy setting. Moreover, relative importance of each sub-criteria item may be determined based on their corresponding weights.

• The Journal of Korean Institute of Information Technology
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• v.16 no.11
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• pp.1-9
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• 2018

Drug repositioning is to discover new uses of drugs. Text mining derives knowledge from unstructured text. We propose a method to predict new drug-disease relationships by taking into account the rate of frequency of genes simultaneously measured in disease-gene and gene-drug. Co-occurrence of drug-gene and gene-disease in the biological literature is counted and calculate the rate of the gene for each drug and disease. Weights of drug-disease relationships are calculated using the average of the rates of genes that are measured and used to measure the accuracy for each disease. In measuring drug-disease relationships, a more accurate identification of relationships was shown by measuring the frequency on a sentence and considering multiple relationships than existing method.

• Journal of Environmental Health Sciences
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• v.47 no.3
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• pp.227-244
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• 2021

Objectives: The Korean National Environmental Health Survey provides representative biomonitoring data for environmental pollutants in South Korea. Over the last decade, there have been various studies published using this data. In this study, we aimed to provide information and implications by reviewing each study. Methods: We searched comprehensive electronic databases from PubMed, Google Scholar, and Naver Academic database using the key words 'Korean National Environmental Health Survey' and 'KoNEHS' through March 2021. A total of 57 studies were selected after reviewing the relevance of the data. Results: The most frequently studied pollutants were heavy metals (10), Cotinine (8), Bisphenol A (7), and Phthalates (6), in that order. In particular, Phthalates, Bisphenol A, and Parabens were often studied together (6). A decline in urinary cotinine and heavy metals in the body was shown over time among studies on exposure association. It was demonstrated that Phthalates and Bisphenol A were significantly related to obesity and diabetes from the studies of health impacts. Cross-section study design, spot urine, and insufficient health status information were mostly reported as limitations of the data. Conclusion: Since research has been focused on adults, further investigations of children and adolescents are required. In this regard, it is necessary to maintain the consistency of the data structure and provide integrated weights for all ages. In addition, it would allow the measurement of several environmental pollutants by considering subsample design. Lastly, integrated studies with multi-cycles and the health effects from co-exposure to multiple chemicals would be expected to provide important knowledge.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.162-169
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• 2022

In a dynamically changing time-varying network environment, the optimal moving pattern of edge devices can be applied to distributing computing resources to edge cloud servers or deploying new edge servers in the FEC(Fog/Edge Computing) environment. In addition, this can be used to build an environment capable of efficient computation offloading to alleviate latency problems, which are disadvantages of cloud computing. This paper proposes an algorithm to extract the optimal moving pattern by analyzing the moving path of multiple edge devices requiring application services in an arbitrary spatio-temporal environment based on frequency. A comparative experiment with A^* and Dijkstra algorithms shows that the proposed algorithm uses a relatively fast execution time and less memory, and extracts a more accurate optimal path. Furthermore, it was deduced from the comparison result with the A^* algorithm that applying weights (preference, congestion, etc.) simultaneously with frequency can increase path extraction accuracy.

• Korean Journal of Community Nutrition
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• v.27 no.2
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• pp.105-120
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• 2022

Objectives: This study evaluated nutritional quality of convenience store meal boxes according to store company and meal price. Methods: In May 2020, 71 meal boxes from five major convenience store companies were collected. Respective weights of all dishes and food ingredients included in each meal box were measured with a digital scale. Information on nutritional contents was collected from nutrition fact panels on packages. Food group patterns, dietary diversity scores (DDS), and dietary variety scores (DVS) were analyzed. Nutritional contents, i.e., amounts of energy, protein, and sodium, and percentages of energy from carbohydrate, sugar, fat, and saturated fat were compared with respective standards based on the 2020 Dietary Reference Intakes for Koreans. Comparison was made among five companies (Company A, B, C, D, E) and three price groups (≦ 4,200 won, ≧ 4,300 and ≦ 4,500 won, ≧ 4,600 won). Multiple regression analyses were conducted to examine the difference of nutritional contents according to company and price, respectively while holding the other variable constant. Results: DDS, but not DVS, significantly differed among companies. The percentages of meal boxes meeting the nutritional standards of sodium significantly differed among companies; the percentage was highest in companies B (75.0%) and C (73.3%). "Company" was associated with amount of energy, protein, and sodium, and percentage of energy from saturated fat. "Price" was associated with the amount of energy and percentage of energy from carbohydrate. The average number of satisfied standards was highest in companies B (5.0) and C (4.0). About two-thirds of the meal boxes provided less amount of energy than the standard; the percentage of such meal boxes was highest in meal boxes with price of 4,200 won or lower. Conclusions: There were significant differences in the nutritional quality of meal boxes according to "company". Meanwhile, higher-priced meal boxes did not necessarily ensure better nutritional quality.

• Journal of Soil and Groundwater Environment
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• v.27 no.spc
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• pp.92-98
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• 2022

Although various methods have been proposed to assess groundwater vulnerability, most of the models merely consider the mobility of contaminants (i.e., intrinsic vulnerability), and the attenuation capacity of vadose zone is often neglected. This study proposed an evaluation model for the attenuation capacity of vadose zone to supplement the limitations of the existing index method models for assessing groundwater vulnerability. The evaluation equation for quantifying the attenuation capacity was developed from the combined linear regression and weighted scaling methods based on the lab-scale experiments using various vadose zone soils having different physical and biogeochemical properties. The proposed semi-quantifying model is expected to effectively assess the attenuation capacity of vadose zone by identifying the main influencing factors as input parameters together with proper weights derived from the coefficients of the regression results. The subsequent scoring and grading system has great versatility while securing the objectivity by effectively incorporating the experimental results.

• Advanced Industrial SCIence
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• v.1 no.2
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• pp.24-29
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• 2022

Recently, smart farm research that applies IoT technology to various farms is being actively conducted to improve agricultural cooling power and minimize cost reduction. In particular, methods for automatically and remotely controlling environmental information data around smart farms through IoT devices are being studied. This paper proposes a processing model that can maintain an optimal growth environment by monitoring environmental information data collected from smart farms in real time based on machine learning. Since the proposed model uses machine learning technology, environmental information is grouped into multiple blockchains to enable continuous data collection through rich big data securing measures. In addition, the proposed model selectively (or binding) the collected environmental information data according to priority using weights and correlation indices. Finally, the proposed model allows us to extend the cost of processing environmental information to n-layer to a minimum so that we can process environmental information in real time.

• Journal of Platform Technology
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• v.11 no.4
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• pp.3-12
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• 2023

In the post-COVID era, the importance of quarantine measures is greatly emphasized, and accordingly, research related to the detection of mask wearing conditions and prevention of other infectious diseases using deep learning is being conducted. However, research on the detection and tracking of visitors to cultural facilities to prevent the spread of diseases is equally important, so research on this should be conducted. In this paper, a convolutional neural network-based object detection model is trained through transfer learning using a pre-collected dataset. The weights of the trained detection model are then applied to a multi-object tracking model to monitor visitors. The visitor detection model demonstrates results with a precision of 96.3%, recall of 85.2%, and an F1-score of 90.4%. Quantitative results of the tracking model include a MOTA (Multiple Object Tracking Accuracy) of 65.6%, IDF1 (ID F1 Score) of 68.3%, and HOTA (Higher Order Tracking Accuracy) of 57.2%. Furthermore, a qualitative comparison with other multi-object tracking models showcased superior results for the model proposed in this paper. The research of this paper can be applied to the hygiene systems within cultural facilities in the post-COVID era.