• Korean Journal of Veterinary Research
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• v.37 no.4
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• pp.899-909
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• 1997

The aim of this study was to assess the estimates of the time of ovulation and mating derived by plasma progesterone concentration. The 40 mature Korea Jin-do bitches were monitored to determine the plasma progesterone concentrations from proestrus to parturition. Gestation length in the 30 pregnant bitches was $63.9{\pm}2.3$ ($mean{\pm}SD$) days in multiparous bitches and $61.8{\pm}3.6$ days in primiparous bitches when Day 0 was timed from the first day of male acceptance, and $61.4{\pm}1.8$ days and $61.3{\pm}2.7$ days when Day 0 was timed from the day of first mating, respectively. Also, gestation length was $63.1{\pm}1.4$ days, $62.4{\pm}1.1$ days and $61.5{\pm}0.9$ days in multiparous bitches, and $62.6{\pm}1.4$ days, $62.4{\pm}2.0$ days and $61.6{\pm}2.3$ days in primiparous bitches when Day 0 was timed from the day that plasma progesterone concentration was first increased above 2.0, 3.0 and 4.0ng/ml, respectively, and $53.8{\pm}3.1$ days and $54.8{\pm}2.6$ days when Day 0 was timed from the last day of male acceptance, respectively. In 30 pregnant bitches, plasma progesterone concentration was $0.2{\pm}0.2ng/ml$ in multiparous bitches and $0.7{\pm}0.8ng/ml$ in primiparous bitches at the first day of vulval bleeding, $1.9{\pm}1.0$ and $3.3{\pm}2.7ng/ml$ at the first day of male acceptance, $7.0{\pm}4.0$ and $9.3{\pm}6.2ng/ml$ at the day of first mating, and $25.1{\pm}6.3$ and $22.8{\pm}10.3ng/ml$ at the last day of male acceptance, respectively. When Day 0 was timed from the day of parturition, plasma progesterone concentration at Day -62, Day -63 and Day -64 was $4.7{\pm}2.7ng/ml$, $3.5{\pm}2.2ng/ml$ and $1.7{\pm}0.9ng/ml$ in multiparous bitches, and $5.3{\pm}4.4ng/ml$, $3.2{\pm}3.7ng/ml$ and $2.0{\pm}1.9ng/ml$ in primiparous bitches, respectively. When Day 0 was timed from the day that plasma progesterone concentration was first increased above 3.0ng/ml after the first day of vulval bleeding, plasma progesterone concentration at Day 61 and Day 62 was $2.7{\pm}2.2ng/ml$ and $1.4{\pm}1.9ng/ml$ in multiparous bitches, and $3.4{\pm}5.2ng/ml$ and $3.7{\pm}5.6ng/ml$ in primiparous bitches, and $0.8{\pm}0.7ng/ml$ and $0.9{\pm}0.4ng/ml$ at Day 63, respectively. It was that bitches were mated when plasma progesterone concentraion was 1.9 to 14.2ng/ml and 3.5 to 20.0ng/ml in multiparous and primiparous bitches, which was between first day before ovulation and fourth day after ovulation. And pregnancy rate was 92% (23/25). From these data, ovulation was estimated to occur the day when plasma progesterone concentration was first increased above 3.0ng/ml after the first day of vulval bleeding. It was estimated that mating time was the day when plasma progesterone concentration was between 1.9 and 20.0ng/ml, and best time for mating was between 3.0 and 8.0ng/ml of plasma progesterone concentration.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.907-923
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• 2020

For the severe haze situation in the Beijing-Tianjin-Hebei region, conventional fine particulate matter (PM2.5) concentration prediction methods based on pollutant data face problems such as incomplete data, which may lead to poor prediction performance. Therefore, this paper proposes a method of predicting the PM2.5 concentration based on image analysis technology that combines image data, which can reflect the original weather conditions, with currently popular machine learning methods. First, based on local parameter estimation, autoregressive (AR) model analysis and local estimation of the increase in image blur, we extract features from the weather images using an approach inspired by free energy and a no-reference robust metric model. Next, we compare the coefficient energy and contrast difference of each pixel in the AR model and then use the percentages to calculate the image sharpness to derive the overall mass fraction. Furthermore, the results are compared. The relationship between residual value and PM2.5 concentration is fitted by generalized Gauss distribution (GGD) model. Finally, nonlinear mapping is performed via the wavelet neural network (WNN) method to obtain the PM2.5 concentration. Experimental results obtained on real data show that the proposed method offers an improved prediction accuracy and lower root mean square error (RMSE).

• Journal of Environmental Health Sciences
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• v.47 no.4
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• pp.339-355
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• 2021

Background: Particulate matter (PM₁₀, PM_2.5) and black carbon contribute to poor air quality in urban areas, and can also affect indoor environments. Exposure to PM can be associated with respiratory and lung diseases. Objectives: This study investigated the indoor and outdoor concentration distribution patterns of PM₁₀, PM_2.5, and black carbon at an apartment building, a typical residential space in the metropolitan areas of South Korea, by season, day of the week (weekday vs. weekend), and time of the day. It aims to obtain foundational data for the effective management of pollutants and investigate the difference in pollution levels between indoor and outdoor environments. Methods: Indoor and outdoor concentrations of PM and black carbon were measured at an apartment building located in Namyangju, Gyeonggi-do Province, using dust sensors and an Aethalometer AE51 (AethLabs, San Francisco, CA, USA) over the course of a year from June 2020 to May 2021. The concentration distribution patterns were analyzed by season and time of day. Results: PM₁₀ and PM_2.5 concentrations in the outdoor environment were higher than those in the indoor environment, regardless of the season. By contrast, the indoor black carbon concentration was higher than that in the outdoor environment during summer and autumn. The concentrations of PM₁₀, PM_2.5 and black carbon were found to be higher on weekdays than during weekends, especially during rush hour, with concentrations of 25.92~56.58 ㎍/m³, 21.12~44.82 ㎍/m³, 0.63~3.40 ㎍/m³. Conclusions: The outdoor concentrations of PM₁₀, PM_2.5, and black carbon were higher during the weekdays, especially during rush hour, than during weekends. This study is expected to provide basic data for the health management of apartment occupants because it is measured over a period of more than one year.

• Journal of Environmental Science International
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• v.18 no.4
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• pp.401-409
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• 2009

The results of particulate matters level and heavy metal concentration, which surveyed in Gwang-Yang, Dang-Jin steel industry area, are as follows; The $PM_{2.5}$, $PM_{10}$ of exposure area are $22.3{\mu}g/m^3$, $40.4{\mu}g/m^3$ each in Kum-Ho dong, and $28.1{\mu}g/m^3$, 51.5 each in Jung dong. The $PM_{2.5}$, $PM_{10}$ of control area are $16.4{\mu}g/m^3$, $29.5{\mu}g/m^3$ each in Bonggang-myeon. The level is higher in exposure area than control area. In case of Dang Jin, the concentration of $PM_{10}$ and $PM_{2.5}$ is higher in exposure area than control area ($PM_{2.5}-20.4{\mu}g/m^3$, $PM_{10}-39.2{\mu}g/m^3$). The Pb level of Dang Jin area is higher in exposure area ($0.13{\mu}g/m^3$) than control area ($0.1{\mu}g/m^3$) and both Gwang-Yang and Dang-Jin area lower level than the Guideline level of Korea EPA.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.30 no.2
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• pp.163-173
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• 2020

Objectives: The study was evaluated exposure variation and daily absorption level of cadmium, lead concentration of ambient air of monthly data from 1999 to 2017 for main exposure factor in outdoor workers. Methods: Based on the monthly data from 'The annual report of air quality in Korea from 1999 to 2018' in 'Air Korea' website in the Korean Ministry of Environment. The monthly data of PM_2.5, PM₁₀, cadmium, lead concentration of ambient air were recalculated to average, minimum, and maximum. And these data were combined to Asian-dust exposure data from 'The annual report of Asian-dust·smog in 2017' of National Institute of Meteorological Sciences in Korea. Results: Geometric mean(minimum-maximum) concentration in ambient air of monthly data were 0.0017 (ND-0.2015) mg/㎥ in cadmium and 0.0467(ND-0.8554) mg/㎥ in Pb from 1999 to 2017. Both of Cd and Pb concentration in ambient air showed the highest concentration in January and the lowest in August among annual variation from 1999 to 2017. PM₁₀ and PM_2.5 level showed the highest in March(PM₁₀) and February (PM_2.5) the lowest in August both of PM₁₀ and PM_2.5. Discussion: Based on exposure data and prior reports, daily Cd absorption was estimated to 0.013(ND-1.511) mg/day from respiration and 1.89 mg/day from daily food(25.2 mg/day of daily Cd intake). In case of Pb, daily absorption was estimated to 0.350(ND-6.416) mg/day from respiration and 1.38-1.71 mg/day from daily food intake. Conclusion: Cd and Pb with Asian-dust have high influential factor to increase the Cd and Pb exposure at Winter and Spring season in outdoor workers.

• Korean Journal of Animal Reproduction
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• v.23 no.2
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• pp.127-132
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• 1999

This study was carried out to investigate the general characteristics such as volume, sperm concentration, sperm motility, sperm abnormality on whole semen, removed seminal plasma(RSP) semen and fractional semen of small dogs, and the effect of temperature and preservatio time and cryopreservation on motility of whole and removed seminal plasma semen. Multiple ejaculates were collected from small dogs by the digital manipulation of penis. 1. Average sperm concentration, sperm motility and abnormal sperm rates of whole semen and RSP semen were 5.07$\pm$2.32$\times$10$^{6}$ cells/$m\ell$, 95.42$\pm$2.65%, 4.42$\pm$0.157% and 4.69$\pm$3.27~4.25$\pm$3.65$\times$10$^{6}$ cells/$m\ell$, 91.17$\pm$3.85~88.52$\pm$3.85%, 6.57$\pm$0.43~5.54$\pm$0.52%, respectively. 2. Average semen volume per ejaculate, sperm concentration, sperm motility and abnormal sperm rate of 1st fractional semen were 0.92$\pm$0.7$m\ell$, 4.57$\pm$0.78$\times$10$^{6}$ cells/$m\ell$, 10.72$\pm$3.21% and 5.50$\pm$0.70%. Average semen volume per ejaculate, sperm concentration, sperm motility and abnormal sperm rate of 2nd fractional semen were 2. 14$\pm$0.19$m\ell$, 2.01$\pm$0.12$\times$10$^{6}$ cells/$m\ell$, 95.44$\pm$4.21% and 4.31$\pm$0.53%. Average semen volume per ejaculate, sperm concentration, sperm motility and abnormal sperm rate of 3rd fractional semen were 2.66$\pm$0.23$m\ell$, 2.35$\pm$0.21$\times$10$^{6}$ cells/$m\ell$, 90.71$\pm$2.63%, 6.33$\pm$0.91%, respectively. 3. Motility of whole semen and RSP semen were higher at 2$0^{\circ}C$ than at 4$^{\circ}C$ or 37$^{\circ}C$. When preservation temperature was 2$0^{\circ}C$, sperm motility were 98.32% at 1 hr, 92.15% at 5 hrs, 90.23% at 10 hrs 82.08% at 15 hrs 70.07% at 20 hrs 60.02% at 20 hrs 37.19% at 40 hrs respectively. 4. Average sperm motility of frozen 2nd fraction semen and RSP semen were 33.3$\pm$8.7, 54.7$\pm$9.5%, respectively. Sperm motility was significantly higher in frozen 2nd fraction semen and RSP semen compared with control group.

• Land and Housing Review
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• v.12 no.3
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• pp.39-50
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• 2021

This research aims to provide guidelines with the appropriate type of smart bus stop to reduce the concentration of fine dust. To this end, we divided smart bus stops into two types: closed and open bus stops. The estimated reduction effect was compared and analysed by measuring the estimated PM₁₀ and the estimated PM_2.5 at five locations inside and outside a smart bus stop located in Gangnam gu, Seoul. The effect of reducing the amount of the fine dust concentration in external space was insignificant for both types of bus stops. The different effect of reducing the concentration of the amount between in internal space was relatively significant: the fine dust concentration was 26.0 ㎍/m³ for PM₁₀ and 20.2 ㎍/m³ for PM_2.5 at open-type bus stops; whilst was 2.4 ㎍/m³ for PM₁₀ and 1.8 ㎍/m³ for PM_2.5 at closed type bus stops. Based on the findings, a closed type bus stop is recommended when considering the cost of reducing fine dust. In addition, due to the ineffectiveness of reducing the amount of fine dust from the outside of the bus stop, additional provision of smart bus stops is required particularly in locations where demand exceeds the capacity of the inside. A clear definition of smart bus stop and it's minimum standard should also be considered.

• 산업보건소식
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• no.48
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• pp.9-18
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• 1987

The results of this study which had been investigated to analyse heavy metal levels and to compare lead, cadmium, copper and zinc concentration in urine of children who lived around the industrial area and the agricultural area. Samples were collected and analyzed from September to December 1986 from 7-9 years old children living in Seoul (4 7 cases), lri ( 64 cases) industrial area and Chinan (56 cases) agricultural area. The summarized results were as follows: 1) The concentrations of lead were Seoul 28.7 $\pm$17.7 ug/l, lri 25.3 $\pm$7.5 ug/l and Chinan 19.3 $\pm$5.2 ug/l 2) The concentrations of cadmium were Seoul 1.5 $\pm$0.8 ug/l, Iri 1.4 $\pm$0.5 ug/l and chinan 0.9 $\pm$0.3 ug/l 3) The concentrations of copper were Seoul 12.8 $\pm$7.0 ug/l, Iri 10.5 $\pm$8.4 ug/l and Chinan 10.0 $\pm$4.5 ug/l 4) The concentrations of zinc were Seoul 383 $\pm$279 ug/l, Iri 329 $\pm$133 ug/l and Chinan 267 $\pm$181 ug/l 5) In lead, cadmium and zinc concentration of children, there were statistical difference between the industrial area and the agricultural area 6) There were no indicated significantly levels by the Sex

• Journal of Korean Society for Atmospheric Environment
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• v.20 no.1
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• pp.119-128
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• 2004

The nitrate concentrations in PM$_{2.5}$ and TSP measured at Gosan, Jeju Island, Korea, between March 1998 and February 2002, are discussed. Especially, the characteristics of high nitrate concentration days were analyzed. High nitrate concentration cases in PM$_{2.5}$ were highly correlated with anthropogenic species such as NH$_4$$^{[-10]}$ , and high nitrate concentration cases in TSP were highly correlated with crustal species such as nss-Ca$^{2+}$ and nss -Mg$^{2+}$ Backward trajectory analysis results show the cases of high correlation between nitrate and anthropogenic species occurred when the air parcels moved from China, and the cases of high correlation between nitrate and crustal species occurred when the air parcels moved from Mongolia. Also, high nitrate concentration cases occurred most often in spring (65%) when the air parcels moved from Mongolia and China.ina.

• Journal of Korean Society for Atmospheric Environment
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• v.34 no.5
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• pp.651-658
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• 2018

Particulate matter (PM) emitted from fossil fuel-combustion facilities can be classified as either filterable or condensable PM. The U.S. Environmental Protection Agency (EPA) defined condensable PM as material that is in the phase of vapor at the stack temperature of the sampling location which condenses, reacts upon cooling and dilution in the ambient air to form solid or liquid in a few second after the discharge from the stack. Condensable PM passed through the filter media and it is typically ignored. But condensable PM was defined as a component of primary PM. This study investigates the change of condensable PM according to the variation in the sulfur dioxide of combustion gas. Domestic oil boilers were used as the source of emission ($SO_2$) and the level of $SO_2$ concentration (0, 50, 80, and 120 ppm) was adjusted by diluting general light oil and marine gas oil (MGO) that contains sulfur less than 0.5%. Condensable PM was measured as 2.72, 6.10, 8.38, and $13.34mg/m^3$ when $SO_2$ concentration in combustion gas were 0, 50, 80, and 120 ppm respectively. The condensable PM tended to increase as the concentration of $SO_2$ increased. Some of the gaseous air pollutants emitted from the stack should be considered precursors of condensable PM. The gas phase pollutants which converted into condensable PM should reduced for condensable PM control.