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

• Journal of Environmental Health Sciences
• /
• v.20 no.1
• /
• pp.75-82
• /
• 1994

Bioconcentration Factor (BCF) is known as important criteria for ecotoxicology on hazardous chemicals. But there is no standard method for determining BCF and reported BCFs were slightly different in accordance with authors. This study was performed with aims to determine BCFs on BPMC and Carbaryl. Carassius auratus(goldfish) be chosen as test organism and test period were 3-day, 5-day and 10-day. Extract solvents were n-hexane and acetonitrile. GC-ECD was used to detecting carbamates. The obtained results were as follows: 1. It was possible to determine short term BCF$_s$ of Carbaryl or BPMC through relatively simple procedure. 2. BCF$_3$ of Carbaryl in concentration of 1, 2, 5, 10 ppm were 0.34 $\pm$ 0.06, 0.18 $\pm$ 0.02, 0.10 $\pm$ 0.01, 0.06 $\pm$ 0.01 respectively. BCF$_5$ of Carbaryl were 0.34 $\pm$ 0.05, 0.18 $\pm$ 0.02, 0.13 $\pm$ 0.01 and 0.07 $\pm$ 0.01, BCF$_{10}3$ of Carbaryl were 0.45 $\pm$ 0.05, 0.27 $\pm$ 0.02, 0.16 $\pm$ 0.02 and 0.09 $\pm$ 0.01. BCF$_3$ of BPMC in concentration of 1, 2, 5 ppm were 4.66 $\pm$ 0.17, 2.64 $\pm$ 0.49, 1.88 $\pm$ 0.24 respectively. BCF$_5$ of BPMC were 4.09 $\pm$ 0.50, 2.42 $\pm$ 0.37 and 1.83 $\pm$ 0.15. 3. BCF$_s$ of BPMC were decreased as increasing concentration. However, BPMC concentration in fish were increased in contrast to BCF. But more concentrated BPMC was found in fish 3-day test than found concentration in fish 5-day test. 4. Same trend appeared in Carbaryl. BCF$_s$ of Carbaryl were decreased as increasing concentration and prolonging test period. But found Carbaryl concentration in fish were increased. 5. BCF$_s$ of BPMC were higher than that of Carbaryl by 10 times, in spite of the physicochemical properties of the two carbamates were similar to each other. Further study is recommended to find out the reason of the difference.

• Journal of the Korean Society of Radiology
• /
• v.5 no.4
• /
• pp.189-194
• /
• 2011

This study used magnetic resonance diffusion tensor imaging (DTI) to quantitatively analyze the neural fiber tractography according to the age of normal corpus callosum and to evaluate of usefulness. The research was intended for the applicants of 60 persons that was in a good state of health with not brain or other disease. The test parameters were TR: 6650 ms, TE: 66 ms, FA: $90^{\circ}$, NEX: 2, thickness: 2 mm, no gap, FOV: 220 mm, b-value: $800s/mm^2$, sense factor: 2, acquisition matrix size: $2{\times}2{\times}2mm^3$, and the test time was 3 minutes 46 seconds. The evaluation method was constructed the color-cored FA map include to the skull vertex from the skull base in scan range. We set up the five ROI of corpus callosum of genu, anterior-mid body, posterior-mid body, isthmus, and splenium, tracking, respectively, and to quantitatively measured the length of neural fiber. As a result, the length of neural fiber, for the corpus callosum of genu was 20's: $61.8{\pm}6.8$, 30's: $63.9{\pm}3.8$, 40's: $65.5{\pm}6.4$, 50's: $57.8{\pm}6.0$, 60's: $58.9{\pm}4.5$, more than 70's: $54.1{\pm}8.1mm$, for the anterior-mid body was 20's: $54.8{\pm}8.8$, 30's: $58.5{\pm}7.9$, 40's: $54.8{\pm}7.8$, 50's: $56.1{\pm}10.2$, 60's: $48.5{\pm}6.2$, more than 70's: $48.6{\pm}8.3mm$, for the posterior-mid body was 20's: $72.7{\pm}9.1$, 30's: $61.6{\pm}9.1$, 40's: $60.9{\pm}10.5$, 50's: $61.4{\pm}11.7$, 60's: $54.9{\pm}10.0$, more than 70's: $53.1{\pm}10.5mm$, for the isthmus was 20's: $71.5{\pm}17.4$, 30's: $74.1{\pm}14.9$, 40's: $73.6{\pm}14.2$, 50's: $66.3{\pm}12.9$, 60's: $56.5{\pm}11.2$, more than 70's: $56.8{\pm}11.3mm$, and for the splenium was 20's: $82.6{\pm}6.8$, 30's: $86.9{\pm}6.4$, 40's: $83.1{\pm}7.1$, 50's: $81.5{\pm}7.4$, 60's: $78.6{\pm}6.0$, more than 70's: $80.55{\pm}8.6mm$. The length of neural fiber for normal corpus callosum were statistically significant in the genu(P=0.001), posterior-mid body(P=0.009), and istumus(P=0.012) of corpus callosum. In order of age, the length of neural fiber increased from 30s to 40s, as one grows older tended to decrease. For this reason, the nerve cells of brain could be confirmed through the neural fiber tractography to progress actively in middle age.

• Tuberculosis and Respiratory Diseases
• /
• v.84 no.1
• /
• pp.55-66
• /
• 2021

Background: Particulate matter 10 (PM₁₀; airborne particles <10 ㎛) inhalation has been demonstrated to induce airway and lung diseases. In this study, we investigate the effects of PM₁₀ inhalation on RNA expression in lung tissues using a murine model. Methods: Female BALB/c mice were affected with PM₁₀, ovalbumin (OVA), or both OVA and PM₁₀. PM₁₀ was administered intranasally while OVA was both intraperitoneally injected and intranasally administered. Treatments occurred 4 times over a 2-week period. Two days after the final challenges, mice were sacrificed. Full RNA sequencing using lung homogenates was conducted. Results: While PM₁₀ did not induce cell proliferation in bronchoalveolar fluid or lead to airway hyper-responsiveness, it did cause airway inflammation and lung fibrosis. Levels of interleukin 1β, tumor necrosis factor-α, and transforming growth factor-β in lung homogenates were significantly elevated in the PM₁₀-treated group, compared to the control group. The PM₁₀ group also showed increased RNA expression of Rn45a, Snord22, Atp6v0c-ps2, Snora28, Snord15b, Snora70, and Mmp12. Generally, genes associated with RNA splicing, DNA repair, the inflammatory response, the immune response, cell death, and apoptotic processes were highly expressed in the PM₁₀-treated group. The OVA/PM₁₀ treatment did not produce greater effects than OVA alone. However, the OVA/PM₁₀-treated group did show increased RNA expression of Clca1, Snord22, Retnla, Prg2, Tff2, Atp6v0c-ps2, and Fcgbp when compared to the control groups. These genes are associated with RNA splicing, DNA repair, the inflammatory response, and the immune response. Conclusion: Inhalation of PM₁₀ extensively altered RNA expression while also inducing cellular inflammation, fibrosis, and increased inflammatory cytokines in this murine mouse model.

• Korean Journal of Remote Sensing
• /
• v.36 no.6_3
• /
• pp.1721-1732
• /
• 2020

Elementary school students spend a lot of time in a school and are more exposed to indoor air pollution. Also the students are physically growing and have a relatively high respiratory rate per unit weight compared to adults, so it is known that there is a high sensitivity to indoor air pollution. Therefore, indoor air quality in a school is becoming an important factor for the student's health. In this study, a correlation analysis using levels of indoor and outdoor Particulate Matter (PM) measured from five elementary schools in Seoul was performed to evaluate the effect of outdoor PM on indoor PM. PM ratio and indoor/outdoor (I/O) ratio were also analyzed to investigate the actual condition of indoor air quality and effect of outdoor PM on indoor PM. As a result, the correlation between indoor and outdoor PM in elementary school was more significant in PM2.5 and PM1 than PM10. In the case of I/O ratio, the I/O ratio of PM10 was higher than that of 1 in four elementary schools except SD (BB:2.21, NS: 1.67, IS: 1.73, SI: 1.17). This indicates that the activity of students has a great effect on the concentration of indoor PM10.

• Archives of Craniofacial Surgery
• /
• v.10 no.2
• /
• pp.61-66
• /
• 2009

Purpose: The aim of this study is to establish anatomical dimension of the nose and nostril shape in Korean twenties. Methods: Authors measured anthropometry of nose in Korean youths 1,000 individuals (male 363, female 637) and analyzed stastically them. Results: The mean measurements are as follows. 1. The shape of nostrils was classified into 7 types by the angle between both long axis of nostril (male / female). Type I ($<40^{\circ}$)1.7% / 1.72%, Type II ($41-70^{\circ}$) 26.17% / 29.35%, Type III ($71-100^{\circ}$) 39.94% / 38.77%, Type IV (unclassified) 3.85% / 5.80%, Type V ($101-130^{\circ}$) 20.93% / 17.89%, Type VI ($131-180^{\circ}$) 7.43% / 5.96%, Type VII ($>180^{\circ}$) 0% / 0.47% 2. Lengths (male/female) Width of nasal root: $25.29{\pm}2.25mm/24.72{\pm}2.40mm$ Width of nose: $37.63{\pm}2.46mm/34.77{\pm}2.11mm$ Width of columella: $7.18{\pm}0.92mm/6.92{\pm}0.86mm$ Width of alar: $4.99{\pm}1.00mm/4.74{\pm}0.91mm$ Width of nostril floor: $10.98{\pm}1.40mm/10.13{\pm}1.73mm$ Protrusion of nasal tip: $17.12{\pm}1.95mm/16.88{\pm}1.84mm$ Length of alar: $27.10{\pm}2.21mm/24.66{\pm}2.18mm$ Length of nasal root: $17.37{\pm}2.51mm/16.08{\pm}2.90mm$ Depth of nasal root: $7.83{\pm}1.63mm/6.82{\pm}1.36mm$ Length of columella: $8.13{\pm}1.40mm/7.30{\pm}1.46mm$ Height of nose: $60.50{\pm}8.90mm/59.14{\pm}9.22mm$ Height of nasal bridge: $52.68{\pm}7.49mm/50.57{\pm}7.71mm$ 3. Angles Nasofacial angle: $30.19{\pm}3.43^{\circ}/29.13{\pm}6.31^{\circ}$ Nasofrontal angle: $134.88{\pm}7.25^{\circ}/139.94{\pm}6.33^{\circ}$ Nasolabial angle: $95.08{\pm}8.95^{\circ}/95.80{\pm}8.93^{\circ}$ 4. Nasal index: $72.60{\pm}9.57%/68.21{\pm}7.03%$ Nasal tip protrusion-nasal height index: $45.64{\pm}5.21%/47.09{\pm}5.21%$ Nasal tip protrusion-nasal width index: $32.61{\pm}6.83%/31.63{\pm}6.71%$ Conclusion: These data could be useful reference for anthropometry of nose in Korean twenties.

• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.45 no.1
• /
• pp.57-67
• /
• 2019

Particulate matters with a diameter of < $10{\mu}m$ (PM10) exert oxidative stress and inflammatory events in various organs. The purpose of this study was to examine the molecular mechanism of reactive oxygen species (ROS) production induced by PM10 in the human epidermal keratinocytes (HEKs). When cultured HEKs were exposed to PM10, ROS production was induced and it was inhibited by apocynin, an antioxidant. The mRNA expression of NADPH oxidase (NOX) family was analyzed in order to examine their role in PM10-induced ROS production. PM10 increased the mRNA expression of NOX1, NOX2, dual oxidase (DUOX) 1 and DUOX2. HEKs expressed DUOX1 and DUOX2 at higher levels compared to other NOXs. The mRNA expression of dual oxidase maturation factors, DUOXA1 and DUOXA2, was also increased by PM10. We examined whether these calcium-dependent enzymes, DUOX1 and DUOX2, mediate the PM10-induced ROS production. A selective intracellular calcium chelator, BAPTA-AM, attenuated ROS production induced by PM10 or calcium ionophore A23187. The small intereference RNA (siRNA)-mediated down-regulation of DUOX2, but not DUOX1, attenuated the ROS production induced by PM10. PM10 increased the expression of inflammatory cytokines such as interleukin $(IL)-1{\beta}$, IL-6, IL-8 and interferon $(IFN)-{\gamma}$. SiRNA-mediated down-regulation of DUOX2 suppressed the PM10-induced expression of $IFN-{\gamma}$ but not other cytokines. This study suggests that DUOX2 plays a crucial role in ROS production and inflammatory response in PM10-exposed keratinocytes.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.8 no.3
• /
• pp.237-242
• /
• 2003

Microstructure of otoliths and early growth in total length of laboratory-reared river puffer, Takrifugu obscurus were observed from 1 to 63 days after hatching. The total length of Takifugu obscurus was 3.09${\pm}$0.02 mm, 4.96${\pm}$0.24 mm, 5.39${\pm}$0.42 mm,9.13${\pm}$0.59 mm, 10.78${\pm}$0.96, 16.40${\pm}$2.31 mm, 30.49${\pm}$l.53 mm in 1, 10, 20, 30, 34, 43, 63 days respectively. The mean radius of otoliths was 14.20${\pm}$1.21 $\mu\textrm{m}$ in 1 day, 31.06${\pm}$2.31 $\mu\textrm{m}$ in 10 days,57.19${\pm}$6.19 $\mu\textrm{m}$ in 20 days,127.13${\pm}$13.13 $\mu\textrm{m}$ in 34 days,190.79${\pm}$17.08 $\mu\textrm{m}$ in 43 days and 281.85${\pm}$23.81 $\mu\textrm{m}$ in 63 days after hatching. Growth of otoliths were similar to the growth pattern in total length during 20-63 days after hatching. Hatch mark was distinguished with other growth increments and within a hatch mark two or three increments were observed. The number of growth increments was correlated with the days after hatching between 20 and 63 days after hatching.

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

• Journal of Environmental Health Sciences
• /
• v.31 no.5 s.86
• /
• pp.379-386
• /
• 2005

[ $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ ] in driver cabins of subway line from 5 to 8 were monitored from 07:00 through 21:00 (or 19:30 or 20:00) on May. Driver cabin of subway line 7 showed the highest $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ concentrations. General Linear Model indicated that subway line, subway location (ground and underground track) and running time (morning and afternoon) significantly influenced the concentrations of $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ (p=0.000). Daily profile of $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$, expressed as an 30 minutes average, showed similar variation pattern over day period. These concentrations showed the highest concentrations between 07:00 and 09:00 of rush hour, slightly dropped and again rose slightly after 18:00. In correlation analysis, significant relations among $PM_{10},\;PM_{2.5},\;CO_2\;and\;CO$ were detected (p<0.01). In particular, correlation coefficient between $PM_{10}\;and\;PM_{2.5}$ was highly significant (r=0.884). Regression analysis also concluded that $PM_{10}$ concentration significantly explained 71.4% of variation of $PM_{2.5}$ concentration (p=0.000, $R^2=0.714$). Correlations by CO with $PM_{10}\;and\;PM_{2.5}$ were 0.451 and 0.520, which were higher than those by $CO_2$. Further study is needed to examine the sources of $PM_{2.5}$ and CO in subway and to compare pollutants concentration among subway lines.