• The Korean Journal of Physiology
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• v.15 no.1
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• pp.45-51
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• 1981

The aim of this study was to investigate the pulmonary function tests of athletes related to Running, Swimming, Cycle, Taekwando, Wrestling, Boxing, Yudo, Badminton, Base-ball, Soccer, Hand-ball, Basket-ball and Volley-ball. Subjects were 269 athletes from 18 to 22 years of age. They were college students and citizens. The results are as follows: 1) Frequency of breath: (cycles/min., $M{\pm}S.D$) Running shows $13{\pm}3.6$, Swimming $12{\pm}3.2$, Cycle $13{\pm}3.4$, Taekwondo $12{\pm}4.0$, Wrestling $14{\pm}2.5$, Boxing $15{\pm}4.5$, Yudo $13{\pm}3.2$, Badminton $14{\pm}5.7$, Base-ball $15{\pm}6.2$, Soccer $13{\pm}2.5$, Hand-ball $14{\pm}2.5$, Basket-ball $12{\pm}5.6$, Volley-ball $12{\pm}4.2$(Table 2, Fig. 1). 2) Vital capacity: (1, $M{\pm}S.D$) Running shows $4.29{\pm}0.634$, Swimming $4.30{\pm}0.608$, Cycle $4.08{\pm}0.718$, Taekwondo $4.32{\pm}0.595$, Wrestling $4.40{\pm}0.663$, Boxing $4.45{\pm}0.779$, Yudo $4.58{\pm}0.389$, Badminton $3.98{\pm}0.556$, Base-ball $3.99{\pm}0.617$, Soccer $4.42{\pm}0.728$, Hand-ball $4.23{\pm}0.397$, Basket-ball $4.28{\pm}0.426$, Volley-ball $4.60{\pm}0.620$(Table 2, Table 3, Fig. 2). 3) Tidal volume: (ml, $M{\pm}S.D$) Running shows $615{\pm}180$, Swimming $603{\pm}121$, Cycle $529{\pm}189$, Taekwondo $726{\pm}112$, Wrestling $512{\pm}90$, Boxing$622{\pm}134$, Yudo $583{\pm}89$, Badminton $672{\pm}121$, Base-ball $714{\pm}97$, Soccer $579{\pm}89$, Hand-ball $507{\pm}69$, Basket-ball $628{\pm}133$, Volley-ball $597{\pm}144$(Table 2, Fig.3). 4) Breath holding time : (sec., $M{\pm}S.D$) Running shows $64{\pm}18.8$, Swimming $81{\pm}23.0$, Cycle $54{\pm}13.6$, Taekwondo $55{\pm}11.8$, Wrestling $78{\pm}12.5$, Boxing $63{\pm}9.6$, Yudo $71{\pm}14.4$, Badminton $62{\pm}9.8$, Base-ball $58{\pm}8.9$, Soccer $65{\pm}10.9$, Hand-ball $66{\pm}7.6$, Basket-ball $62{\pm}8.8$, Volley-ball $57{\pm}13.4$(Table 2, Fig.4).

• Particle and aerosol research
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• v.13 no.2
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• pp.97-104
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• 2017

In order to characterize atmospheric aerosols in Chungcheong area, black carbon concentration, which is known to be closely related to global warming, was measured and compared with $PM_{10}$, $PM_{2.5}$ concentrations and various meteorological parameters such as wind velocity and wind direction. Multi Angle Absorption Photometer (MAAP), a filter-based equipment, was used for the black carbon measurement, and the $PM_{10}$, $PM_{2.5}$ concentrations, wind velocity and wind direction were provided by the local monitoring stations. Black carbon concentration was monitored to be high in spring and winter but low in fall. $PM_{10}$ concentration was observed to be high when westerly wind was strong.

• Asian Journal of Atmospheric Environment
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• v.5 no.4
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• pp.237-246
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• 2011

To explore the sources of carbonaceous material in the airborne particulate matter (PM), comprehensive PM sampling was performed (3 to 14 January 2010) at a traffic hot spot site (HS), Farm Gate, Dhaka using several samplers: AirMetrics MiniVol (for $PM_{10}$ and $PM_{2.5}$) and MOUDI (for size fractionated submicron PM). Long-term PM data (April 2000 to March 2006 and April 2000 to March 2010 in two size fractions ($PM_{2.2}$ and $PM_{2.2-10}$) obtained from two air quality-monitoring stations, one at Farm Gate (HS) and another at a semi-residential (SR) area (Atomic Energy Centre, Dhaka Campus, (AECD)), respectively were also analyzed. The long-term PM trend shows that fine particulate matter concentrations have decreased over time as a result of government policy interventions even with increasing vehicles on the road. The ratio of $PM_{2.5}/PM_{10}$ showed that the average $PM_{2.5}$ mass was about 78% of the $PM_{10}$ mass. It was also found that about 63% of $PM_{2.5}$ mass is $PM_1$. The total contribution of BC to $PM_{2.5}$ is about 16% and showed a decreasing trend over the years. It was observed that $PM_1$ fractions contained the major amount of carbonaceous materials, which mainly originated from high temperature combustion process in the $PM_{2.5}$. From the IMPROVE TOR protocol carbon fraction analysis, it was observed that emissions from gasoline vehicles contributed to $PM_1$ given the high abundance of EC1 and OC2 and the contribution of diesel to $PM_1$ is minimal as indicated by the low abundance of OC1 and EC2. Source apportionment results also show that vehicular exhaust is the largest contributors to PM in Dhaka. There is also transported $PM_{2.2}$from regional sources. With the increasing economic activities and recent GDP growth, the number of vehicles and brick kilns has significantly increased in and around Dhaka. Further action will be required to further reduce PM-related air pollution in Dhaka.

• Asian Journal of Atmospheric Environment
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• v.9 no.4
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• pp.280-287
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• 2015

The high time-resolution monitoring data are essential to estimate rapid changes in chemical compositions, concentrations, formation mechanisms, and likely sources of atmospheric particulate matter (PM). In this study, $PM_{2.5}$ sulfate, $PM_{2.5}$, $PM_{10}$, and the number concentration of size-resolved PMs were monitored in Fukuoka, Japan by good time-resolved methods during the springtime. The highest monthly average $PM_{2.5}$ sulfate was found in May ($8.85{\mu}g\;m^{-3}$), followed by April ($8.36{\mu}g\;m^{-3}$), March ($8.13{\mu}g\;m^{-3}$), and June ($7.22{\mu}g\;m^{-3}$). The cases exceed the Japanese central government's safety standard for $PM_{2.5}$ ($35{\mu}g\;m^{-3}$) reached 10.11% during four months campaign. The fraction of $PM_{2.5}$ sulfate to $PM_{2.5}$ varied from 12.05% to 68.11% with average value of 35.49% throughout the entire period of monitoring. This high proportion of sulfate in $PM_{2.5}$ is an obvious characteristic of the ambient $PM_{2.5}$ in Fukuoka during the springtime. However, the average fraction of $PM_{2.5}$ sulfate to $PM_{2.5}$ in three rain events occurred during our intensive campaign fell right down to 15.53%. Unusually high $PM_{2.5}$ sulfate (> $30{\mu}g\;m^{-3}$) marked on three days were probably affected by the air parcels coming from the Chinese continent, the natural sulfur in the remote marine atmosphere, and a large number of ships sailing on the nearby sea. The theoretical number concentration of $(NH_4)_2SO_4$ in $PM_{0.5-0.3}$ was originally calculated and then compared to $PM_{2.5}$ sulfate. A close resemblance between the diurnal variations of the theoretically calculated number concentration of $(NH_4)_2SO_4$ in $PM_{0.5-0.3}$ and $PM_{2.5}$ sulfate concentration indicates that the secondary formed $(NH_4)_2SO_4$ was the primary form of sulfate in $PM_{2.5}$ during our monitoring period.

• Journal of Environmental Science International
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• v.29 no.5
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• pp.495-506
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• 2020

This study investigated the nitrate formation process, and mass closure of Particulate Matter (PM) were calculated over the urbanized area of Jeju Island. The data for eight water-soluble inorganic ions and nineteen elements in PM_2.5 and PM₁₀ were used. The results show that the nitrate concentration increased as excess ammonium increased in ammonium-rich samples. Furthermore, nitrate formation was not as important in ammonium-poor samples as it was in previous studies. According to the sum of the measured species, approximately 45~53% of gravimetric mass of PM remained unidentified. To calculate the mass closure for both PM_2.5 and PM₁₀, PM chemical components were categorized into secondary inorganic aerosol, crustal matter, sea salt, trace matter and unidentified matter. The results by the mass reconstruction of PM components show that the portion of unidentified matter was decreased from 52.7% to 44.0% in PM_2.5 and from 45.1% to 29.1% in PM₁₀, despite the exclusion of organic matter and elemental carbon.

• Journal of the Korean Society of Food Science and Nutrition
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• v.22 no.5
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• pp.531-538
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• 1993

A 4-week energy balance study was conducted to estimate the energy expenditure (EE) of 16 primary school age boys and girls, 8 to 12 year age, by measurement of energy intakes and changes in body energy (BE) content (intake / balance technique), keeping their normal living pattern and eating behavior. Gross energy intake (GE) and fecal energy (FE) loss was measured by bomb calorimetry. Urinary energy (UE) loss was calculated from nitrogen excreted. Fat mass (FM) was determined from body density estimated from skinfold thickness. Mean constitutional ratio of carbohydrate, protein and fat for the total energy intake was 10.1 $\pm$1.8%, 12.2$\pm$0.1% and 17.1$\pm$2.0% for the boys and 74.0$\pm$1.7%, 10.7$\pm$0.3% and 15.3$\pm$0.5% for the girls, respectively. Fecal energy loss was 5.1% and 4.5% proportion of the gross energy intake for the boys and girls, respectively. Mean daily metabolizable energy estimated by subtract feral and urinary energy loss was 1862$\pm$15kcal for the boys and 1627$\pm$20kcal for the girls. Total body energy change estimated from body composition change over 28 days was increased 1524$\pm$539kcal for the boys and 3622$\pm$718kcal for the girls. Mean daily energy expenditure was 1812$\pm$37kcal(52 $\pm$2kcal/kg of body weight) for the boys and 1487$\pm$25kca1 (52$\pm$2kcal/kg of body weight) for the girls.

• Particle and aerosol research
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• v.18 no.4
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• pp.109-127
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• 2022

Recently, low-cost particulate matter (PM) sensors have been widely used in monitoring mass concentration. Maintaining the accuracy of the sensors is important and requires rigorous performance evaluation and calibration. In this study, two commercial low-cost PM sensors(LCS), Plantower PMS3003 and Plantower PMS7003, were evaluated in the laboratory and field with a reference-grade PM monitor (GRIMM 11-D). Laboratory evaluation was conducted with single/mixed particles of PSL (Poly Styrene Latex) in an acrylic chamber at 20℃ and relative humidity of 20%. Field evaluation was conducted inside a building of Yonsei University (Shinchon) from February 12 to March 31, 2022. In both evaluations, LCS measured values became different from reference measured values when the relative humidity was high or the outdoor air PM10/PM2.5 ratio was high. Based on the field evaluation, the LCS measured values were corrected through four different regression analysis models. As a result, the multivariate polynomial regression analysis model showed highest matching with the reference PM monitor (PM2.5 >0.9, PM10 >0.85). In this model, the PM10/PM2.5 ratio and relative humidity were chosen as independent variables.

• Journal of Korean Society for Atmospheric Environment
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• v.26 no.5
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• pp.567-580
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• 2010

Organic carbon (OC) and elemental carbon (EC) concentrations were determined for $PM_{10}$, $PM_{2.5}$ and $PM_{1.0}$ aerosols particles collected at Gosan Superstation on Jeju Island from August 2007 to September 2008. Aerosols were collected on quartz filters for 24 hours and then OC and EC were analyzed by TOR/IMPROVED method. Mean concentrations of OC and EC were $4.66\;{\mu}g/m^3$ and $1.69\;{\mu}g/m^3$ for $PM_{10}$, $3.95\;{\mu}g/m^3$ and $1.69\;{\mu}g/m^3$ for $PM_{2.5}$, and $3.16\;{\mu}g/m^3$ and $1.42\;{\mu}g/m^3$ for $PM_{1.0}$, respectively. The concentrations of OC and EC comprised 16.4% and 6.0% of $PM_{10}$, 22.9% and 9.8% of $PM_{2.5}$, and 23.0% and 10.0% of $PM_{1.0}$. OC and EC showed a clear seasonal variation with the highest in winter and the lowest in summer. The correlations between the two were also the best during the winter ($R^2$=0.87, 0.94, and 0.95 for $PM_{10}$, $PM_{2.5}$ and $PM_{1.0}$). The ratio of OC/EC exhibited the maximum (7.24) during an Asian dust event due to an increase of OC, which was possibly derived from soil. The mass fraction of both OC and EC was the highest in fall. When OC and EC concentrations were highly elevated, EC1 (the first EC fraction determined at $550^{\circ}C$) and pyrolyzed OC (POC) were dominant subcomponents in winter and OC3 (the third OC fraction determined at $450^{\circ}C$) and POC in spring.

• 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.

• Atmosphere
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• v.33 no.4
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• pp.367-385
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• 2023

The variabilities of precipitation and particulate matters (i.e., PM₁₀ and PM_2.5) and the scavenging efficiency of PMs by precipitation were quantified using long-term measurements in Seoul, Korea. The 21 years (2001~2021) measurements of precipitation and PM₁₀ mass concentrations, and the 7 years (2015~2021) of PM_2.5 mass concentrations were used. Statistical analysis was performed for each period (i.e., year, season, and month) to identify the long-term variabilities of PMs and precipitation. PM₁₀ and PM_2.5 decreased annually and the decreasing rate of PM₁₀ was greater than PM_2.5. The precipitation intensity did not show notable variation, whereas the annual precipitation amount showed a decreasing trend. The summer precipitation amount contributed 61.10% to the annual precipitation amount. The scavenging efficiency by precipitation was analyzed based on precipitation events separated by 2-hour time intervals between hourly precipitation data for 7 years. The scavenging efficiencies of PM₁₀ and PM_2.5 were quantified as a function of precipitation characteristics (i.e., precipitation intensity, amount, and duration). The calculated average scavenging efficiency of PM₁₀ (PM_2.5) was 39.59% (35.51%). PM₁₀ and PM_2.5 were not always simultaneously scavenged due to precipitation events. Precipitation events that simultaneously scavenged PM₁₀ and PM_2.5 contributed 42.24% of all events, with average scavenging efficiency of 42.93% and 43.39%. The precipitation characteristics (i.e., precipitation intensity, precipitation amount, and precipitation duration) quantified in these events were 2.42 mm hr^-1, 15.44 mm, and 5.51 hours. This result corresponds to 145% (349%; 224%) of precipitation intensity (amount; duration) for the precipitation events that do not simultaneously scavenge PM₁₀ and PM_2.5.