PURPOSES : In this study, the characteristics of fine particulate matter (PM2.5) concentrations under different weather conditions of different types of bus stops, such as enclosed-type and open-type bus stops, were analyzed using statistical methods. METHODS : Data was collected inside and outside an enclosed bus stop on sunny and rainy days to compare and analyze the characteristics of fine particulate matter concentration in the target bus stop. The probability distributions were estimated for each data point using the Anderson–Darling test. Based on the estimated probability distributions, probability density functions were computed, and the values were used to estimate and compare probability for each air quality index inside and outside the bus stop under different weather conditions RESULTS : For the results of descriptive statistics, the average concentrations of fine particulate matter inside and outside the bus stop were 42.296 and 35.482 μg/m3 on a sunny day and 40.831 and 39.321 μg/m3 on a rainy day, respectively. Results of the statistical method, obtained using the Anderson-Darling test, indicate that the probability of the air quality index inside the bus stop reaching high concentrations on a sunny day was "high" or "very high," compared to that outside the bus stop. However, on rainy days, the differences in fine particulate matter concentrations inside and outside the bus stops were difficult to identify based on statistical evidence. CONCLUSIONS : It was found that the open-type bus stop had an advantage of preventing fine particulate matter effects on sunny days, compared to the enclosed-type bus stops. Furthermore, there were slight differences in fine particulate matter concentrations inside and outside the bus stop on a rainy day because of atmospheric flow and stormwater.

PURPOSES : A pilot experimental study on the formation of fine particulate matter through photochemical reactions using precursor gas species (volatile organic compounds (VOCs), NH3, SO2, and NOx) was conducted to evaluate the large-scale environment chamber for investigating the pathway of aerosol formation and the subsequent assessment techniques used for reducing fine particulate matter. Two small-scale environment chambers (one experimental group and one control group), each with a width, depth, and height of 3 m, 2 m, and 2.3 m, respectively, were constructed using ethylene tetrafluoroethylene (ETFE) films. METHODS : The initial conditions of the fine particles and precursor gases (NOx and VOCs) for the small-scale environment chamber were set up by injecting diesel vehicle exhaust. NH3 and H2O2 were added to the small-scale environment chamber for the photochemical reaction to form organic and inorganic aerosols. The gas phase of the VOCs and the chemical compositions of aerosols were investigated using a proton transfer reaction time-of-flight mass spectrometer and the aerodyne high-resolution time-of-flight aerosol mass spectrometer at 1 and 10 s time resolutions, respectively. Gas phases of NO and NO2 were measured using Serinus 40 NOx at a 20 s time resolution. RESULTS : The small-scale environment chambers built using ETFE films were proved to supply sufficient natural sunlight for the photochemical reaction in the environment chambers at an average of approximately 89% natural sunlight transmission at 300–1000 nm. When the intermediates of NH3 and H2O2 for the atmospheric chemical reaction were injected for the initial condition of the small-scale environment chamber, nitrate and ammonium in the experimental group increased to 4747% and 1837%, respectively, compared to the initial concentrations (5.4 μg/m3 of nitrate and 5.2 μg/m3 of ammonium), indicating the formation of secondary inorganic aerosols of ammonium nitrate (NH4NO3). This implies that it is necessary to inject intermediates (NH3 and H2O2) for the formation of fine particulate matter when simulating the atmospheric photochemical reaction for assessing the environment chamber. CONCLUSIONS : This study has shown that small-scale environment chambers can simulate the atmospheric photochemical reaction for the reduction of fine particulate matter and the formation of the aerosol pathway. The results of this study can be applied to prevent time and economic losses that may be incurred in a full-scale environment chamber.

PURPOSES : This study analyzes the characteristics of generated fine particulate matter (PM2.5) and nitrogen oxide (NOX) at roadsides using a statistical method, namely, a generalized linear model (GLM). The study also investigates the applicability and capability of a machine learning methods such as a generalized regression neural network (GRNN) for predicting PM2.5 and NOX generations. METHODS : To analyze the characteristics of PM2.5 and NOX generations at roadsides, data acquisition was conducted in a specific segment of roads, and PM2.5 and NOX prediction models were estimated using GLM. In addition, to investigate the applicability and capability of a machine learning methods, PM2.5 and NOX prediction models were estimated using a GRNN and were compared with models employing previously estimated GLMs using r-square, mean absolute deviation (MAD), mean absolute percentage error (MAPE), and root mean square error (RMSE) as parameters. RESULTS : Results revealed that relative humidity, wind speed, and traffic volume were significant for both PM2.5 and NOX prediction models based on estimated models from a GLM. In addition, to compare the applicability and capability of the GLM and GRNN models (i.e., PM2.5 and NOX prediction models), the GRNN model of PM2.5 and NOX prediction was found to yield better statistical significance for r-square, MAD, MAPE, and RMSE as compared with the same parameters used in the GLM. CONCLUSIONS : Analytical results indicated that a higher relative humidity and traffic volume could lead to higher PM2.5 and NOX concentrations. By contrast, lower wind speed could affect higher PM2.5 and NOX concentrations at roadsides. In addition, based on a comparison of two statistical methods (i.e., GLM and GRNN models used to estimate PM2.5 and NOX), GRNN model yielded better statistical significance as compared with GLM.

PURPOSES : The purpose of this study is to evaluate the performance characteristics of stone mastic asphalt (SMA) pavement by comparison with polymer modified asphalt (PMA) pavement and conventional asphalt pavement, to check the performance characteristics according to the pavement type, pavement materials, traffic volume, and environmental factors and to analyze the quality variation characteristics according to the pavement materials using data extracted from the database of the expressway long-term pavement performance. METHODS : Approximately 10% outlier data of pavement performance data were excluded in order to increase the reliability of the analysis results before evaluating the asphalt pavement performance. The performance model was developed through linear regression analysis by setting the performance period as the independent variable and the highway pavement condition index (HPCI) as the dependent variable. Descriptive statistic analysis of HPCI using the static package for social science (SPSS) tool and the analysis of variance was performed to identify the quality variation characteristics according to the pavement materials. The amount of de-icing agent and traffic level of service were classified as two levels in order to check the influence of traffic volume and environmental factors on the performance characteristics of the asphalt pavement. RESULTS : The tentative pavement performance lives were calculated at 19.3 years for new the SMA pavement (GPS-2), 14.3 years for the SMA overlay on the asphalt pavement (GPS-6), and 10.3 years for the SMA overlay on the concrete pavement (GPS-7). In case of the asphalt overlay, the tentative performance lives were calculated at 8.2 years for the PMA overlay on the asphalt pavement (GPS-6), 7.2 years for the PMA overlay on the concrete pavement (GPS-7), 7.2 years for the conventional asphalt overlay on the asphalt pavement (GPS-6), and 5.5 years for the conventional asphalt overlay on the concrete pavement (GPS-7). CONCLUSIONS : It was confirmed that the SMA pavement showed better performance and quality variation characteristics than the PMA and conventional asphalt pavement. The performance characteristics of the asphalt pavement (GPS-2) was better than the asphalt overlay pavement, and the asphalt overlay on the asphalt pavement (GPS-6) had better performance characteristics than the asphalt overlay on the concrete pavement (GPS-7). It was observed that the asphalt overlay on the asphalt pavement (GPS-6) was strongly influenced by the traffic volume and the asphalt overlay on concrete pavement (GPS-7) was strongly influenced by the traffic volume and de-icing agent.

This study was a qualitative investigation into hemodialysis patients' dietary practices. The purpose of this study was to explore the obstacles and requirements to maintain a recommended diet therapy in hemodialysis patients. Five patients undergoing hemodialysis in the renal chamber of the general hospital were interviewed individually. The interviews were based on an interview guide and analyzed by Giorgi’s method of analysis. As a result of this study, five elemental factors and 12 subelemental factors were derived. Derived elements were “difficulty in dietary guidelines”, “recognizing necessity of diet therapy”, “awareness of importance of diet”, “difficulty practicing diet therapy”, and “looking for ways to practice diet therapy”. Patients not only felt difficulties in practicing dietary guidelines but also recognized the need and importance of diet therapy. Patients seemed to have difficulty practicing meal therapy and eating with their families or others. They were also stressed by the limited selection of dietary components and rapid dietary changes before and after dialysis. However, patients showed a willingness to implement dietary management to improve their quality of life and to practice dietary therapy. In order to improve the practice of dietary management in hemodialysis patients, nutritional education should be focused on long-term dietary habits through continuous education and monitoring, not just one-off education. Moreover, patients should be educated that adherence to dietary control may be less burdensome on their families.

본 연구는 침입종 사향쥐의 국내 자연생태계 정착 여부를 확인하였다. 아울러 관리전략 수립과 현장 관리에 필수적인 관리대상지역과 기초적인 행동특성 정보, 서식지 이용에 관한 자료를 제공하고자 하였다. 이를 위해 해외의 사향쥐 관리 동향을 파악하여 정착 단계에 따른 관리 방향을 검토하였다. 그리고 국내 72개 사육농가의 위치정보를 확보하였고, 실태조사를 통해 경기도, 충청남도, 경상북도, 세종특별자치시 소재 5개 지역을 자연 유출 가능성이 높은 지역으로 제시하였다. 또한, 2016년부터 2018년까지 3년간 동일 지점에 서식하는 개체를 모니터링하였다. 2018년 모니터링 지역에서 포획한 개체의 연령이 1.2년생으로 확인되었으며, 2012년 이후 해당지역에 추가적인 개체 보충이 없었다는 사실에 근거하여 국내 자연생태계에 사향쥐가 정착한 것으로 판단하였다. 국내 자연에 정착한 사향쥐는 0.0027 km2 (MCP 95%)의 작은 행동권을 나타내었으며, 봄철과 가을철 규칙적인 이동성을 보이는 것으로 나타났다. 사향쥐의 서식이 관찰된 지역은 서식환경의 교란이 높게 발생한 지역이었으며, 사향쥐의 흔적 출현 빈도는 부엽식물과 부유식물의 생육이 왕성한 개방수역과 개체의 은신처로 활용 가능한 습생목본 식생유형에서 높게 확인되어 이들의 생태적 특성과 섭식 습성이 그대로 반영되었다. 국제적인 침입종 사향쥐가 국내 생태계에 정착하였고, 향후 확산이 우려되는 만큼 정부 차원의 선제적 대응과 과학적 관리를 위한 필수 자료 구축이 검토될 필요가 있다

In this study, a survey was conducted among university students (119 men and 134 women) in Chungbuk province using questionnaires to investigate the variables and eating patterns related to the use of food delivery apps. A survey was conducted from March 22, 2019 to April 3, 2019. Of the total respondents, 77.2% reported that they had ordered food at least once using food delivery apps on smartphones. Further, 63.3% of the total subjects had ordered food delivery through smartphone apps once or twice a month, and the most preferred cuisine for food delivery was fast food, followed by Bunsik (Korean street food/snack), western food, and Chinese food. The average satisfaction scorefor food delivery apps was 3.8 points, and the satisfaction score was the highest with the convenient ordering process (4.0), followed by good taste (3.9) and good portion (3.8). The subjects who used smartphone food delivery apps three times or more a month showed a significantly higher frequency of instant food intake (p=0.0132), dining out (p=0.0282), and late-night eating (p=0.0047) than the subjects who ordered food using delivery apps less than three times a month. In conclusion, these study results may be applied as baseline data for dietary education among university students.

고지방식이에 의해 유도한 비만모델동물에서 지장김치의 혈액 중 유해 지질 감소, 항비만 효능 및 그 작용 메카니즘을 조사하였다. 4개의 처리구는 CD(일반식이를 섭취한 정상 대조구, chow diet as normal control), HFD(고지방식이를 섭취한 비만 대조구, high fat diet as obesity), HFDCK(고지방식이+일반김치 추출물 투여구), HFDJK(고지방식이+지장김치 추출물 투여구)로 구분하여 김치추출물을 28일 동안 경구투여 하였다. 체중, 간 및 지방조직 무게는 비만모델동물에서 HFDJK가 HFDCK에 비해서 낮았다(p<0.05). 혈액 중성지방, 총콜레스테롤, LDL-C, 혈당은 HFD와 비교할 때 CD, HFDJK, HFDCK의 순서대로 낮았으며 HFDJK는 HFDCK에 비해 낮았다(p<0.05). 간 및 지방세포의 크기는 HFD, HFDCK, HFDJK의 순서대로 증가하였으며 HFDJK는 HFDCK에 비해서 크게 낮았다(p<0.05). 결과는 비만모델동물에서 지장김치의 섭취가 일반김치에 비해서 혈액 지질과 혈당을 낮추고 지방세포의 크기를 줄여줌으로써 항비만 효능을 갖는다는 점을 나타낸다.

Two experiments were conducted to determine how much sodium in food could be detected using a salinity meter. First, the salinity of mixed solutions of 0 to 6% sugar, 0 to 5% oil, and 0 to 6.4% MSG in a 1% NaCl solution was measured using a salinity meter and a Mohr titration method, and the results were compared with the calculated sodium expectations. As a result, the sodium contents of the sugar solutions and MSG solutions measured using a salinity meter were lower than the expected concentrations at 2% or more and 0.8% or more, respectively (p<0.05). The salinity of the 18 HMR products was measured in the same way, and the results were then compared with the sodium contents of the nutrition facts. The average sodium content of all products measured using the salinity meter and Mohr method was 1.12 times and 1.06 times the sodium content of the nutrition facts, respectively. On the other hand, the differences between the products were significant. The correlation coefficients between the nutrition facts and salinity meter, the nutrition facts and the Mohr method, and the salinity meter and Mohr method were 0.885, 0.920, and 0.950, respectively (p<0.01).