• 제목/요약/키워드: Pandemic Situations

검색결과 85건 처리시간 0.025초

코로나 19 이후 청소년의 일상생활 변화와 구강증상과의 관련성: 2021년 청소년건강행태조사 원시자료 이용 (Relationship between daily life changes and oral symptoms in adolescents post the COVID-19 pandemic: The Korea Youth Risk Behavior Survey (2021))

  • 박경화;이은선
    • 한국치위생학회지
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    • 제22권5호
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    • pp.355-363
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    • 2022
  • Objectives: This study aimed to assess the relationship between oral symptoms and changes in daily life after coronavirus disease (COVID-19) in middle and high school students. Methods: Data were obtained from the 17th Korea Youth Risk Behavior Survey (2021). The subjects comprised 53,868 people who responded to survey questions related to this study. Multiple logistic regression analysis with complex samples was performed to identify the correlation between daily life changes and oral symptoms. Results: The analysis showed that compared to the group without changes in daily life after COVID-19, changes in daily life, such as skipping breakfast, drinking, and smoking, either decreased or increased. Furthermore, increase in depression and decreased physical activity and family economic status were related to oral symptoms. Conclusions: It is necessary to develop oral health programs for adolescents suitable for changing situations after COVID-19.

Data-Based Monitoring System for Smart Kitchen Farm

  • Yoon, Ye Dong;Jang, Woo Sung;Moon, So Young;Kim, R. Young Chul
    • International journal of advanced smart convergence
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    • 제11권2호
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    • pp.211-218
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    • 2022
  • Pandemic situations such as COVID-19 can occur supply chain crisis. Under the supply chain crisis, delivering farm products from the farm to the city is also very challenging. Therefore it is essential to prepare food sufficiency people who live in a city. We firmly insist on food self-production/consumption systems in each home. However, since it is impossible to grow high-quality crops without expertise knowledge. Therefore expert system is essential to grow high-quality crops in home. To address this problem, we propose a smart kitchen farm as a data-based monitoring system and platform with ICT convergence technology. Our proposed approach 1) collects data and makes judgments based on expert knowledge for home users, 2) increases product quality of the smart kitchen farms by predicting abnormal/normal crops, and 3) controls each personal home cultivation environment through data-based monitoring within the smart central server. We expect people can cultivate high-quality crops in thir kitchens through this system without expert knowledge about cultivation.

Indoor air quality evaluation in intercity buses in real time traffic

  • Kazim O. Demirarslan;Serden, Basak
    • Advances in environmental research
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    • 제11권1호
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    • pp.17-30
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    • 2022
  • Road transport allows all forms of land conditions to be met at less cost. Because of this function, despite numerous disadvantages, it becomes the most frequently used method of transport, especially in underdeveloped or developing countries. One of the most significant factors used in evaluating the atmosphere's air quality is the amount of CO2, increasing people's density in indoor spaces. The amount of CO2 indoors is, therefore, vital to determine. In this study, CO2 and temperature measurements made on nine different bus journey was made in Turkey. The minimum and maximum values were recorded as 555 ppm and 3000 ppm CO2, respectively, in the measurements. On all journeys, the average concentration is 1088.72 ppm. The minimum and maximum values were measured as 17.4℃ and 32.7℃ in the temperature measurements, and the average of all trips was calculated to be 25.76℃. In this study conducted before the Covid-19 pandemic, it was determined that the amount of CO2 increased with the density and insufficient ventilation in the buses. The risk of infection increases in places with high human density and low clean air. For situations such as pandemics, CO2 measurement is a rapid indicator of determining human density.

기계학습기반의 코로나 진단 및 증상 분석 (Machine Learning based COVID-19 Diagnosis and Symptom Analysis)

  • 김예담
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2021년도 추계학술발표대회
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    • pp.823-826
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    • 2021
  • The recent COVID-19 pandemic has accentuated the need for faster and more accurate ways of diagnosing certain diseases for there to be safer and more effective early responses that help to prevent a total outbreak. In this work, we would like to approach this issue through machine learning algorithms to investigate whether or not they could serve as a viable replacement for conventional diagnosis. Through a process of training and testing various algorithms, we analyzed how successfully they can predict a patient's COVID-19 diagnosis based on a list of symptoms and also identified which algorithm is the most effective at doing so. If the necessary data, containing the symptoms and diagnoses of different cases, is provided, this method can be utilized to make a probable diagnosis of any disease besides COVID-19. This method can be used in conjunction with or in lieu of conventional diagnosis depending on the situation: if there is a lack of testing facilities or test kits, this method can be employed as it is inexhaustible and it could also be used in situations where a conventional diagnosis is proven to be inaccurate.

게임에서의 자연풍경의 그래픽 스타일 차이에 따른 감성 반응 분석 (Analysis of Emotional Responses to Different Graphical Styles of Natural Scenery in Video Games)

  • 홍한선;김성수;강민지;이주영
    • 한국환경과학회지
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    • 제32권12호
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    • pp.979-985
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    • 2023
  • After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

데이터에 기반한 칠갑산천문대의 운영방안 연구 (DATA-BASED OPERATION PLAN FOR CHILGAPSAN OBSERVATORY)

  • Sangkyeong Choi;Junhyeok Jeon;Yonggi Kim
    • 천문학논총
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    • 제38권3호
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    • pp.111-123
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    • 2023
  • In this study, quantitative analysis is attempted on data collected from Chilgapsan Observatory Star Park in Cheongyang-gun, Chungcheongnam-do. The aim of this experimental study in which quantitative analysis of the Astronomical Science Museum in Korea is conducted is to investigate its current situation and secure basic data. As of July 31, 2023, it has had 283,931 cumulative visitors in total. It had the largest number of visitors when it opened (2009 year), after which their number reduced steadily until the pandemic (COVID-19, 2020-2022). Recently, however, the number of visitors has increased. Generally, the number of visitors is highest in August (20.8%) and least in April (4.1%). The visit rate is higher on weekends (Saturday and Sunday) than on weekdays (Monday-Friday), and groups comprise only about 5.3% of the total number of visitors. Moreover, it can be confirmed that the number of visitors increases sharply during events. Finally, it was confirmed that the visit rate was unaffected by weather conditions. Considering these results, we propose the following strategies: 1) Establish a special program that reflects "the weekend effect." 2) Prepare a plan to attract group visitors during the weekdays using "the event effect." 3) Arrange alternative programs (e.g., experiential activities) that can be conducted indoors regardless of weather conditions. We think that our findings will help establish a roadmap for the direction the Astronomical Science Museum should take and aid in preparing a strategic foundation to preemptively respond to unexpected situations (e.g., pandemics).

Slipchip Device Development in Molecular Diagnostics

  • Qingtian Yin;Huiwen Bai;Ruijie Li;Youngung Seok
    • 한국재료학회지
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    • 제34권2호
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    • pp.63-71
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    • 2024
  • Slipchip offers advantages such as high-throughout, low cost, and simple operation, and therefore, it is one of the technologies with the greatest potential for high-throughput, single-cell, and single-molecule analyses. Slipchip devices have achieved remarkable advances over the past decades, with its simplified molecular diagnostics gaining particular attention, especially during the COVID-19 pandemic and in various infectious diseases scenarios. Medical testing based on nucleic acid amplification in the Slipchip has become a promising alternative simple and rapid diagnostic tool in field situations. Herein, we present a comprehensive review of Slipchip device advances in molecular diagnostics, highlighting its use in digital recombinase polymerase amplification (RPA), loop-mediated isothermal amplification (LAMP), and polymerase chain reaction (PCR). Slipchip technology allows users to conduct reliable droplet transfers with high-throughput potential for single-cell and molecule analyses. This review explores the device's versatility in miniaturized and rapid molecular diagnostics. A complete Slipchip device can be operated without special equipment or skilled handling, and provides high-throughput results in minimum settings. This review focuses on recent developments and Slipchip device challenges that need to be addressed for further advancements in microfluidics technology.

COVID-19 시대 사회안전망 평가와 정부신뢰가 증세 수용에 미치는 영향: 소득 수준의 조절효과를 중심으로 (The Effects of Evaluations of Social Safety Net and Trust in Government on the Willingness to Accept Tax Increases in the Era of COVID-19: the Moderating Role of Income Levels)

  • 노민정
    • 한국콘텐츠학회논문지
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    • 제20권12호
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    • pp.154-165
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    • 2020
  • COVID-19 팬데믹의 장기화로 인해 우리는 유례없는 사회경제적 위협에 직면해 있다. 인적 교류의 통제로 보건의료 측면에서의 위협 뿐 아니라 경제 활동 위축에 따른 부담에까지 동시에 노출되어 있다. 이러한 상황은 우리가 그간 위기상황에 대비해 마련해 놓았던 사회안전망에 대해 재점검해 볼 기회를 마련해 주었다. 본 연구는 이러한 맥락에서 사회안전망에 대한 평가가 정부의 신뢰도 및 정부 주도의 증세 정책에 대한 수용에 미치는 영향력을 살펴보고자 하였다. 이를 위해 본 연구는 COVID-19가 팬데믹 국면으로 접어든 이후인 2020년 5월, 전국의 성인남녀 1000명을 대상으로 시행한 설문조사의 자료를 토대로 분석을 시행하였다. 분석 결과, COVID-19 발발 이후 우리나라의 사회안전망에 대한 평가는 정부에 대한 신뢰에 정(+)의 영향력을 미치고 있었으며, 이는 개인의 증세 정책에 대한 수용을 보다 증진시키는 것으로 나타났다. 아울러, 정부 신뢰의 증세 수용에 대한 정(+)의 영향력은 소득 수준이 높아질 때 보다 증폭되는 것으로 확인되었다. 이러한 일련의 결과는 향후 코로나 이후를 대비한 정책과 시스템의 재정비에 있어 이론적 기틀을 마련하는데 도움을 줄 수 있을 것이다.

코로나바이러스(COVID-19) 유행이 대학생의 부정정서에 미치는 영향 (Effect of COVID-19 Pandemic on Negative Emotions in Korean College Students)

  • 장준혁;박승희;김진휘;김종완
    • 감성과학
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    • 제24권4호
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    • pp.39-52
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    • 2021
  • 본 연구의 목적은 코로나바이러스 유행이 대학생들의 불안, 우울, 공포 및 스트레스와 같은 부정정서에 미치는 영향을 알아보는 것이다. J대학교에 재학 중인 대학생을 대상으로 인터뷰를 실시하였으며, 시간에 따라 부정정서의 변화 양상을 살펴보고자 2019년 3월, 2020년 3월, 2020년 11월 세 시기를 측정하였다. 조사 시점이 2020년 11월로, 2019년 3월과 2020년 3월에 겪었던 정서 기억 회상을 돕기 위해 연구 참여자에게 당시 겪었을 법한 상황에 대한 구조화된 인터뷰 질문을 하고 답변에 대한 요약정리를 하도록 요청하였다. 세 시기의 부정정서에 차이가 있는지 살펴보기 위해 반복측정 변량분석을 실시하였고, 부정정서의 변화 양상을 살펴보기 위해 다항식 추세 분석을 실시하였다. 연구 결과 세 시기의 부정정서에 차이가 있었으며, 2019년과 비교하여 2020년 3월에 대학생들이 우울, 불안, 공포 및 스트레스를 더 느끼고 있었으며, 이러한 부정정서가 2020년 11월까지 지속되었음을 알 수 있었다. 이러한 결과는 코로나바이러스의 영향이 지속되고 있는 현재에도 대학생들이 부정정서를 겪을 수 있음을 시사한다. 본 연구의 결과는 코로나바이러스 유행 상황에서 대학생이 겪을 수 있는 부정정서의 양상을 나타내며, 결과를 바탕으로 대학생을 위한 스트레스 관리 지침 및 심리 상담과 같은 심리지원체계 제공의 필요성이 제시되었다.

효율적인 감염병 검사 예약을 위해 클라우드에 기반한 예약 및 알림 시스템 (Cloud-Based Reservation and Notification System for Efficient Testing of Infectious Diseases)

  • 황보제성;김호윤;신승수
    • 산업융합연구
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    • 제21권1호
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    • pp.67-76
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    • 2023
  • 2019년 발생한 코로나는 전파력이 강하고 감염 증상, 후유증 등이 심각하며 기저질환 및 증상에 따라 심한 경우 사망한다. 코로나는 전파력이 강한 만큼 국내에서는 코로나 확산세를 막기 위해 코로나 양성 여부를 판별하고 감염자를 격리하기 위해 전국에 선별 진료소를 설치했다. 그러나 코로나 검사 희망자들이 선별 진료소로 몰려 검사 대기시간이 길어져 검사를 받지 못하는 경우가 발생했으며 대기 중에 2차 감염이 발생할 수 있는 위험성이 있다. 본 연구에서는 기존 선별 진료 시스템에 예약 및 알림 시스템을 적용하여 공간적 제약 문제를 해결하여 선별 진료 예약으로 대기시간을 줄일 수 있으며 선별 진료소로의 인구 병목 현상을 해소할 수 있다. 코로나 팬데믹 사태를 삼아 향후 발생할 수 있는 또 다른 팬데믹 사태에서 방향성을 제시할 수 있는 시스템을 제안한다. 실시간 데이터를 처리하기 위해 Google의 Firebase를 활용하여 클라우드 환경의 Realtime Database를 사용한다. 실시간 Database를 사용하기 때문에 사용자는 앱을 통해서 선별 진료소의 현황을 실시간으로 파악 및 예약을 할 수 있고 검사 예약에 대한 알림을 받을 수 있다.