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Suggestions for the Development of Online Education at the College of Korean Medicine - Based on the Current Status of Online Education and Satisfaction Surveys due to COVID-19 - (한의과대학 온라인 교육의 발전을 위한 제언 - COVID-19에 따른 온라인 교육 현황과 만족도 조사 사례를 바탕으로 -)

  • Wie, Hyosun;Yang, In-Jun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.35 no.5
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    • pp.162-168
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    • 2021
  • This study was conducted to investigate the current status of online classes and evaluations during the COVID-19 pandemic and the satisfaction of students attending the College of Korean Medicine. A survey was conducted with students enrolled in Dongguk University's College of Korean Medicine. The questionnaire was divided into four areas asking about online lectures, laboratory practice, clinical practice, and evaluation experience. The items were composed of multiple-choice, a 5-point scale, and subjective type. After distributing the Google form address through SNS and LMS, only those who agreed to the questionnaire were responded anonymously. 149 out of 457 enrolled students responded. 98.7% of students experienced online lectures, and more frequently experienced real-time online lectures (98.6%) than recorded lectures (43.5%). Overall satisfaction with online lectures was 3.99 on average. 80.5% of the students experienced the online experiment and practice class, and the overall satisfaction with it was 3.29 on average. 1.3% of students experienced online clinical practice. 86.6% of students experienced online evaluation, and when asked about the fairness of the test, the average score was 3.99. Satisfaction with online lectures and evaluations is generally high, so it is expected to be used as an effective learning tool in the future. However, it seems that facility improvement and technical training of instructors are necessary. In experimental and practical education, the satisfaction level is lower than that of online lectures, so it seems necessary to develop a new online program and to prepare a safe offline education system.

A Systematic Study on the Intervention Study of Intellectual Disability Students in Elementary Schools : Focusing on the Design of Single-Subject Research in Korea (초등학교 지적장애 학생의 수업 참여도 중재 연구에 관한 체계적 고찰 : 국내 단일대상연구 설계 중심으로)

  • Hwang, In-Bi;Choi, Yoo-Im
    • The Journal of Korean Academy of Sensory Integration
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    • v.19 no.3
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    • pp.44-60
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    • 2021
  • Objective : The purpose of this study was to identify the characteristics of domestic single-subject research related to the participation of students with intellectual disabilities in classes. Methods : We investigated a total of five papers to determine the features and qualitative levels of the papers being analyzed. Results : A total of 12 subjects were studied, and experiments were conducted at all stages. All research used a multiple baseline design. The independent variables were the positive behavior support approach (2), the strength-oriented activities approach, the self-decision teaching and learning model approach, and the self-monitoring approach. As a dependent variables, there were four pieces set up exclusively for class participation behavior, and one that was set up mixed with class interruptions behaviors. The qualitative level of the studies to be analyzed was 100% of the high level. Conclusion : Through this study, single-subject studies that applied interventions related to participation in class for intellectual disabilities in elementary schools have confirmed that effective interventions were applied and that the quality levels were reliable.

Stock News Dataset Quality Assessment by Evaluating the Data Distribution and the Sentiment Prediction

  • Alasmari, Eman;Hamdy, Mohamed;Alyoubi, Khaled H.;Alotaibi, Fahd Saleh
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.1-8
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    • 2022
  • This work provides a reliable and classified stocks dataset merged with Saudi stock news. This dataset allows researchers to analyze and better understand the realities, impacts, and relationships between stock news and stock fluctuations. The data were collected from the Saudi stock market via the Corporate News (CN) and Historical Data Stocks (HDS) datasets. As their names suggest, CN contains news, and HDS provides information concerning how stock values change over time. Both datasets cover the period from 2011 to 2019, have 30,098 rows, and have 16 variables-four of which they share and 12 of which differ. Therefore, the combined dataset presented here includes 30,098 published news pieces and information about stock fluctuations across nine years. Stock news polarity has been interpreted in various ways by native Arabic speakers associated with the stock domain. Therefore, this polarity was categorized manually based on Arabic semantics. As the Saudi stock market massively contributes to the international economy, this dataset is essential for stock investors and analyzers. The dataset has been prepared for educational and scientific purposes, motivated by the scarcity of data describing the impact of Saudi stock news on stock activities. It will, therefore, be useful across many sectors, including stock market analytics, data mining, statistics, machine learning, and deep learning. The data evaluation is applied by testing the data distribution of the categories and the sentiment prediction-the data distribution over classes and sentiment prediction accuracy. The results show that the data distribution of the polarity over sectors is considered a balanced distribution. The NB model is developed to evaluate the data quality based on sentiment classification, proving the data reliability by achieving 68% accuracy. So, the data evaluation results ensure dataset reliability, readiness, and high quality for any usage.

Peptides in Obesity Treatment (비만의 펩타이드 치료제)

  • Kim, Kyoung-Kon
    • Archives of Obesity and Metabolism
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    • v.1 no.1
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    • pp.4-13
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    • 2022
  • Currently, pharmacotherapy is becoming essential for obesity, owing to its expanding and increasing epidemiology. In this review, novel peptide-based drugs of four classes are covered: GLP-1 receptor agonist, GIP/GLP-1 receptor dual agonist, glucagon/GLP-1 receptor dual agonist, and a combination of amylin receptor agonist/GLP-1 receptor agonist. Semaglutide is a next-generation GLP-1 receptor agonist with a longer duration and stronger weight and glucose reduction effects than liraglutide and dulaglutide. In the STEP1 trial, semaglutide 2.4 mg reduced body weight by approximately 15% in people with obesity with similar or milder adverse events than liraglutide 3.0 mg. Tirzepatide, a GIP/GLP-1 receptor dual agonist, also has a long duration and strong weight- and glucose-lowering effect. According to SURPASS-2, 3, and 4, in patients with BMI≥25 kg/m2 and type 2 diabetes mellitus (T2DM), tirzepatide 15 mg reduced the initial body weight by >13%. Cotadutide, a glucagon/GLP-1 receptor dual agonist, showed weaker weight-lowering effects than semaglutide and tirzepatide, while it was comparable to that of liraglutide in a phase 2 clinical trial for non-alcoholic fatty liver disease in patients with BMI≥25 kg/m2 and T2DM. Additionally, its effect on the liver was noticeable. The long-acting amylin receptor agonist cargrilintide combined with semaglutide can be another effective option for obesity treatment. Even in a small phase 1 trial with a short study period of 20 weeks, cargrilintide 2.4 mg/semaglutide 2.4 mg reduced by 17% of initial body weight in people with BMI 27-39.9 kg/m2. In coming several years, semaglutide, tirzepatide, and cargrilintide/semaglutide will become available for obesity treatment in Korea.

Interspecies comparative morphological evaluation of the corneal epithelial stem cell niche: a pilot observational study

  • Popova, Petya;Malalana, Fernando;Biddolph, Simon;Ramos, Tiago;Parekh, Mohit;Chantrey, Julian;Ahmad, Sajjad
    • Journal of Veterinary Science
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    • v.23 no.4
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    • pp.62.1-62.10
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    • 2022
  • Background: The corneal and limbal morphology relevant to corneal epithelial maintenance in ten different species was examined using histological methods. Objectives: The presence of a Bowman's layer, limbal epithelial cell, and superficial stromal morphology was examined in the following species to evaluate the differences in corneal thickness and epithelium: Java sparrows, frogs, macaws, spoonbills, red pandas, penguins, horses, Dobermans, orangutans, and humans. Methods: Corneal sections (4 ㎛) were obtained from ten ocular globes from three different animal classes: Aves, Amphibia, and Mammalia. All sections were stained with hematoxylin and eosin and periodic acid-Schiff reaction. After microscopy, all stained slides were photographed and analyzed. Results: Significant morphological differences in the corneal and limbal epithelia and their underlying stroma between species were observed. The number of corneal epithelial cell layers and the overall corneal epithelial thickness varied significantly among the species. The presence of a Bowman's layer was only observed in primates (orangutans and humans). Presumed supranuclear melanin caps were noted in four species (orangutans, macaws, red pandas, and horses) in the limbal basal epithelial layer (putative site of corneal epithelial stem cells). The melanin granules covered the apex of the cell nucleus. Conclusions: Supranuclear melanin capping has been described as a process within the epidermis to reduce the concentration of ultraviolet-induced DNA photoproducts. Similarly, there may be a relationship between limbal stem cell melanin capping as a protective mechanism against ultra-violet radiation.

Intestinal microbial composition changes induced by Lactobacillus plantarum GBL 16, 17 fermented feed and intestinal immune homeostasis regulation in pigs

  • Da Yoon, Yu;Sang-Hyon, Oh;In Sung, Kim;Gwang Il, Kim;Jeong A, Kim;Yang Soo, Moon;Jae Cheol, Jang;Sang Suk, Lee;Jong Hyun, Jung;Jun, Park;Kwang Keun, Cho
    • Journal of Animal Science and Technology
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    • v.64 no.6
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    • pp.1184-1198
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    • 2022
  • In this study, Rubus coreanus (R. coreanus) byproducts with high polyphenol content were fermented with R. coreanus-derived lactic acid bacteria (Lactobacillus plantarum GBL 16 and 17). Then the effect of R. coreanus-derived lactic acid bacteria fermented feed (RC-LAB fermented feed) with probiotics (Bacillus subtills, Aspergillus oryzae, Yeast) as a feed additive for pigs on the composition of intestinal microbes and the regulation of intestinal immune homeostasis was investigated. Seventy-two finishing Berkshire pigs were randomly allotted to four different treatment groups and 18 replicates. RC-LAB fermented feed with probiotics increased the genera Lactobacillus, Streptococcus, Mitsuokella, Prevotella, Bacteroides spp., Roseburia spp., and Faecalibacterium prausnitzii, which are beneficial bacteria of the digestive tract of pigs. Also, RC-LAB fermented feed with probiotics decreased the genera Clostridium, Terrisporobacter, Romboutsia, Kandleria, Megasphaera and Escherichia, which are harmful bacteria. In particular, the relative abundance of the genera Lactobacillus and Streptococcus increased by an average of 8.51% and 4.68% in the treatment groups and the classes Clostridia and genera Escherichia decreased by an average of 27.05% and 2.85% in the treatment groups. In mesenteric lymph nodes (MLN) and spleens, the mRNA expression of transcription factors and cytokines in Th1 and Treg cells increased and the mRNA expression of Th2 and Th17 transcription factors and cytokines decreased, indicating a regulatory effect on intestinal immune homeostasis. RC-LAB fermented feed regulates gut immune homeostasis by influencing the composition of beneficial and detrimental microorganisms in the gut and regulating the balance of Th1/Th2 and Th17/Treg cells.

Helmet and Mask Classification for Personnel Safety Using a Deep Learning (딥러닝 기반 직원 안전용 헬멧과 마스크 분류)

  • Shokhrukh, Bibalaev;Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.3
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    • pp.473-482
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    • 2022
  • Wearing a mask is also necessary to limit the risk of infection in today's era of COVID-19 and wearing a helmet is inevitable for the safety of personnel who works in a dangerous working environment such as construction sites. This paper proposes an effective deep learning model, HelmetMask-Net, to classify both Helmet and Mask. The proposed HelmetMask-Net is based on CNN which consists of data processing, convolution layers, max pooling layers and fully connected layers with four output classifications, and 4 classes for Helmet, Mask, Helmet & Mask, and no Helmet & no Mask are classified. The proposed HelmatMask-Net has been chosen with 2 convolutional layers and AdaGrad optimizer by various simulations for accuracy, optimizer and the number of hyperparameters. Simulation results show the accuracy of 99% and the best performance compared to other models. The results of this paper would enhance the safety of personnel in this era of COVID-19.

A report of 24 unrecorded bacterial species in Korea belonging to the Phyla Proteobacteria and Bacteroidetes isolated in 2020

  • Kim, Ju-Young;Yoon, Jung-Hoon;Joh, Kiseong;Seong, Chi-Nam;Kim, Won-Yong;Im, Wan-Taek;Cha, Chang-Jun;Kim, Seung-Bum;Jeon, Che-Ok;Seo, Taegun;Kim, Myung Kyum
    • Journal of Species Research
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    • v.11 no.3
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    • pp.133-142
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    • 2022
  • In 2020, 24 bacterial strains were isolated from algae, kudzu leaf, mud, pine cone, seashore sand, sea water, soil, tidal flat, and wetland from the Republic of Korea. Isolated bacterial strains were identified based on 16S rRNA gene sequences, and those exhibiting at least 98.7% sequence similarity with known bacterial species, but not reported in Korea, were highlighted as unrecorded species. These isolates were allocated to the phyla Bacteroidetes and Proteobacteria as unrecorded species in Korea. The four Bacteroidetes strains were classified into the families Chitinophagaceae, Flavobacteriaceae, and Sphingobacteriaceae (of the orders Chitinophagales, Flavobacteriales, and Sphingobacteriales, respectively). The 20 Proteobacteria strains belonged to the Aeromonadaceae, Marinobacter, Microbulbiferaceae, Enterobacteriaceae, Erwiniaceae, Morganellaceae, Yersiniaceae, Lysobacteraceae, Halomonadaceae, Moraxellaceae, Pseudomonadaceae, Steroidobacteraceae, Xanthomonadaceae, and Myxococcaceae (of the orders Aeromonadales, Alteromonadales, Cellvibrionales, Enterobacterales, Lysobacterales, Oceanospirillales, Pseudomonadales, Steroidobacter, Xanthomonadales, and Myxococcales). This study focused on the description of 24 unreported bacterial species in Korea in the phyla Bacteroidetes and Proteobacteria belonging to six classes.

A New Face Morphing Method using Texture Feature-based Control Point Selection Algorithm and Parallel Deep Convolutional Neural Network (텍스처 특징 기반 제어점 선택 알고리즘과 병렬 심층 컨볼루션 신경망을 이용한 새로운 얼굴 모핑 방법)

  • Park, Jin Hyeok;Khan, Rafiul Hasan;Lim, Seon-Ja;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.176-188
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    • 2022
  • In this paper, we propose a compact method for anthropomorphism that uses Deep Convolutional Neural Networks (DCNN) to detect the similarities between a human face and an animal face. We also apply texture feature-based morphing between them. We propose a basic texture feature-based morphing system for morphing between human faces only. The entire anthropomorphism process starts with the creation of an animal face classifier using a parallel DCNN that determines the most similar animal face to a given human face. The significance of our network is that it contains four sets of convolutional functions that run in parallel, allowing it to extract more features than a linear DCNN network. Our employed texture feature algorithm-based automatic morphing system recognizes the facial features of the human face and takes the Control Points automatically, rather than the traditional human aiding manual morphing system, once the similarity was established. The simulation results show that our suggested DCNN surpasses its competitors with a 92.0% accuracy rate. It also ensures that the most similar animal classes are found, and the texture-based morphing technology automatically completes the morphing process, ensuring a smooth transition from one image to another.

A Phenomenological Study on the Meaning of College Life of Extracurricular Activities Engagement of Students Majoring in Aviation Service (항공서비스학과 비교과 참여 학생의 대학 생활 의미에 관한 현상학적 연구)

  • Lee, Sea-Yoon;Kwak, Yeon-Kyeong
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.363-373
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    • 2022
  • This study aims to investigate the essential meaning of college life based on understanding the lived experiences while participating in the extracurricular programs. This study was designed according to Giorgi's phenomenological research method to comprehend and grasp the meaning of the essential experience of each individual. Data collection for this study was conducted by a semi-structured in-depth interview with 6 participants who had engaged in the extracurricular program delivered by the department of Aviation Services. This study suggests that the experiential attributes of engaging in extracurricular classes and the meaning of involving extracurricular activities were derived into four themes each. The finding discovers that the meaning of college life including, 'improve in satisfaction of college life', 'various college life', 'memories of college life', and 'motivation for college life'. The conclusion to be drawn here is that the experience of participating in various extracurricular programs was shown to be a path of transitional process of personal growth. The significance of this study is that it revealed the extracurricular activities added a new meaning to their college life based on the interviewee's lived experience.