• 대한불안의학회지
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• 제16권2호
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• pp.57-75
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• 2020

Particular matter is steadily increasing due to environmental factors at domestic and abroad such as industry and economy. Recently, the exposure particular matters has been reported to increase the risk not only for morbidity and mortality, but also for diseases of the respiratory system, cardiovascular system and central nervous system/neuropsychiatric disorder. Although the causes of neuropsychiatric diseases are genetic and environmental factors, it is necessary to pay more attention to environmental factors in terms of prevention. We mainly describe environmental factors that affect neuropsychiatric disorders, mainly on particular matter, which is one of harmful environmental substances. In the current study, we reviewed evidence for the presence of particular matter or particular matter related harmful air pollutants-O₃, SO₂, NO₂/NOx, traffic related air pollution, that may represent risk factors for the development of neuropsychiatric disorder.

• 보건행정학회지
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• 제30권1호
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• pp.50-61
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• 2020

Background: This study aims to analyze the effects of air pollutants, such as particular matter, to the number of outpatient visits for allergic rhinitis in eup, myeon, and dong administrative boundaries. Methods: Dependent variable was the number of outpatient visits for allergic rhinitis per 10,000 people by region. Independent variables were air pollutants such as PM₁₀, PM_2.5, SO₂, O₃, CO₂, NO₂, and temperature that estimated by using Kriging analysis in all eup, myeon, and dong boundaries. Panel analysis was applied for the analysis to prove the relation between outpatient visits and the concentration of air pollutants. Results: Analysis results showed that particular matter concentration varied by regions and season. Panel analysis showed that outpatient visits for allergic rhinitis had positive relationships with PM₁₀, PM_2.5, SO₂, O₃, and CO₂ in all panel models. Conclusion: Regional variation of particular matter concentration should be considered in establishing regional policies for allergic rhinitis.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.277-279
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• 2021

미세먼지 예측의 경우 농도에 따른 특성으로 인해 예측 모델의 학습이 잘 이루어지지 않는 문제가 있다. 이러한 문제를 해결하기 위해 저농도와 고농도에 대한 개별 예측 모델을 구분하여 설계할 필요가 있다. 따라서 미세먼지 농도를 저농도와 고농도로 구분하기 위한 분류 모델이 필요하다. 본 논문은 미세먼지 농도 80㎍/m³을 기준으로 저농도와 고농도를 구분하기 위한 분류 모델을 제안한다. 분류 모델의 알고리즘은 DNN을 사용하였으며, 하이퍼 파라미터 탐색 후 최적의 파라미터를 적용하여 분류 모델을 설계하였다. 모델의 성능 평가 결과, 저농도 분류의 경우 97.54%, 고농도 분류의 경우 85.51%의 분류 성능을 확인하였다.

• Membrane and Water Treatment
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• 제13권1호
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• pp.29-37
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• 2022

To verify the fate and transport of engineered nanoparticles (ENP), it is essential to understand its interactions with organic matter. Previous research has shown that dissolved organic matter (DOM) can increase particle stability through steric repulsion. However, the majority of the research has been focused on model organic matter such as humic or fulvic acids, lacking the understanding of organic matter found in field conditions. In the current study, organic matter was sampled from wastewater treatment plants to verify the stability of engineered nanoparticles (ENP) under field conditions. To understand how different types of organic matter may affect the fate of ENP, wastewater was sampled and separated based on their size; as small organic particular matter (SOPM) and large organic particular matter (LOPM), and dissolved organic matter (DOM). Each size fraction of organic matter was tested to verify their effects on nano-zinc oxide (nZnO) and nano-titanium oxide (nTiO₂) stability. For DOM, critical coagulation concentration (CCC) experiments were conducted, while sorption experiments were conducted for organic particulates. Results showed that under field conditions, the surface charge of the particles did not influence the stability. On the contrary, surface charge of the particles influenced the amount of sorption onto particulate forms of organic matter. Results of the current research show how the size of organic matter influences the fate and transport of different ENPs under field conditions.

• 대한한의학회지
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• 제44권3호
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• pp.163-169
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• 2023

Objectives: This study aimed to review the experimental research trends in asthma caused by particulate matter to conduct further researches, especially in clinical trials. Methods: We searched for the meaningful literature using medicinal herb for asthma through the Pubmed databases. Results: Finally, six studies were finally selected. These studies showed recent trends, from 2018 to 2021 and conducted mostly in South Korea. The type of fine dust and the method of inducing asthma are different for each paper, but the effective mechanism is relatively common. It was commonly confirmed that the ratio and number of eosinophils, th2 cells and related cytokines are decreased in BALF and lung tissue by administration of medicinal herb. Conclusions: Although the method of inducing asthma using fine dust has not yet been standardized, it is thought that more meaningful evaluation results can be derived if a standardized animal model is established in the future. Nevertheless, based on the results that herbal medicine is effective for particular matter induced asthma, it is expected that it will be the basis for expanding into future clinical studies.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2018년도 공동국제학술발표회
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• pp.174-174
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• 2018

• 한국인터넷방송통신학회논문지
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• 제20권5호
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• pp.127-133
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• 2020

WHO 산하 국제 암 연구소 에서는 미세먼지를 1급 발암물질로 지정했다. 미세먼지는 대기 중에 떠다니며 눈에 보이지 않을 정도로 작은 먼지를 말한다. 미세먼지는 주로 석탄이나 석유 같은 화석연료의 연소과정에서 배출되며, 페질환, 페렴, 심장질환을 유발 할 수 있는 위험 인자 이다. 환경부에서는, 최근 미세먼지 측정소 10곳의 산출자료를 분석한 결과, 약 60% 정도가 기존 대기측정농도가 더 높게 나오는 오류가 있다고 발표하였다. 미세먼지를 정확하게 예측하기 위해서는, 풍향, 측정위치를 반드시 보정해야 한다. 본 논문에서는 이러한 문제점을 해결하기 위해서, 퍼지 규칙을 이용해서 이러한 문제점을 해결하였다. 뿐만 아니라, 길거리 보행자가 실제로 느끼는 미세먼지 체감지수를 산출하기 위해서, 본 논문에서는 날씨조건, 온도조건, 습도조건, 바람조건을 고려한 미세먼지 체감지수 산출 컴퓨터 모의실험을 수행 하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.280-282
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• 2021

주관적 판단을 적용하여 예보되는 미세먼지 예보의 문제를 해결하기 위해 딥러닝 알고리즘을 이용하여 미세먼지 예측 모델을 설계하였다. 딥러닝 알고리즘 중 RNN과 LSTM을 이용하였으며, 하이퍼 파라미터 탐색을 통해 최적의 파라미터를 적용하여 설계하였다. RMSE와 예측 정확도를 통해 두 모델의 예측 성능을 평가하였다. 성능 평가 결과, RMSE와 전체 정확도에서 큰 차이는 없었으나 세부 예측 정확도의 차이가 있음을 확인하였다.

• 자원환경지질
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• 제21권3호
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• pp.319-329
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• 1988

As a factor which can help to understand the genesis of (mata) sedimentary and/or hydrothermal uranium depisits, an interpretation of the role of organic matter associated with uranium mineralization, was attempted with the literature published up to the end of 1986. Laboratory studies, in which diageneis and metamorphism are artificially simulated, can help to elucidate how uranium with particular organic materials are formed and destroyed. Similarly, research involving a variety of techniques is needed to characterize both the soluble organic extracts (bitumen) and the insoluble organic matter (kerogen), separated from uranium ores and associated rocks. In the presence of clay minerals and amorphous oxy-hydroxde minerals, an understanding of the role of organic matter must be prudent and may require the incorporation of multidisciplinary approach (mineralogy, inorganic geochemistry ...).

• 천문학회보
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• 제43권2호
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• pp.41.2-41.2
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• 2018

The Minkowski Functionals of the matter densityeld, as traced by galaxies, contain information regarding the nature of dark energy and the fraction of dark matter in the Universe. In particular, the genus is a statistic that provides a clean measurement of the shape of the linear matter power spectrum. As the genus is a topological quantity, it is insensitive to galaxy bias and gravitational collapse. Furthermore, as it traces the linear matter power spectrum, it is a conserved quantity with redshift. Hence the genus amplitude is a standard population that can be used to test the distance-redshift relation. In this talk, I show how we can extract the genus from galaxy catalogs, and how we can use its properties to constrain the equation of state of dark energy and the energy content of the Universe.