• Title/Summary/Keyword: pre-evaluation

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The effect of satisfaction with the educational environment on the achievement level in outreach program for coffee barista and baking (찾아가는 커피 바리스타 및 제과제빵 프로그램에서 교육 환경에 대한 만족도가 학습향상 수준에 미치는 영향)

  • Lee, Sung On;Yun, Gyuwon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.185-190
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    • 2022
  • The purpose of this study is to verify the effect of learners' satisfaction with the educational environment on the achievement level in the outreach coffee barista and bakery lifelong education program. The results of this study conducted over 10 sessions for learners living in Y city are as follows. Firstly, the satisfaction with the instructor was the highest, the satisfaction with the program content was the next, and the satisfaction with the program environment was the lowest. Secondly, as a result of analysis through pre-post evaluation, it was found that there was a significant level of improvement in learning effect. Thirdly, as a result of analyzing the effect on the achievement level, it was found that satisfaction with the instructor had a significant effect on the level of knowledge, and satisfaction with the content of the program had a significant effect on the level of attitude. However, satisfaction with the program environment was found to have no significant effect in all areas of knowledge, skill, and attitude. In conclusion, even if the educational environmental factors are poor in the outreach coffee barista and bakery programs, high satisfaction with the instructor and the content of the program can have a significant learning achievement. With this study, it is hoped that the outreach coffee barista and bakery education program will be further activated.

Development of Rapid Analytical Method for Heavy Metals (Cd, Pb) in Meju using fs LA-ICP-MS (fs LA-ICP-MS를 이용한 메주의 유해중금속(Cd, Pb) 신속 분석법 개발)

  • Shin, Hee-Chang;Choi, Ji-Hye;Kim, Yong-Kyoung;Kim, Dae-Jung;An, Jae-Min;Kim, Sung-Youn
    • Journal of Food Hygiene and Safety
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    • v.37 no.3
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    • pp.129-135
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    • 2022
  • The official analytical method for the analysis of harmful heavy metals in Meju, distributed in Korea, employs a strong acid to decompose the organic components. This analysis is time consuming and harmful to the users and/or the environment. This study aimed to develop a new pre-treatment technology using laser ablation, to rapidly analyze harmful heavy metals without using strong acids. The results obtained from this method were validated by the National Institute of Food and Drug Safety Evaluation guideline (NIFDS, 2016). Moreover, a comparison of the two methods showed that the analytical time for 55 Meju samples was shortened by 96% or more in the new method. The results showed no significant difference in the recovery ranging from 90-120%. The proposed method proved suitable for detecting harmful heavy metals in Meju.

The effect of brain education-based exercise and KPEM manual therapy integrated program on sleep and quality of life in cancer patients (뇌교육 기반 운동 및 KPEM도수치료 통합 프로그램이 암환자의 수면과 삶의 질에 미치는 영향)

  • Byeong Kwan Kim;Min Gyu Sung;Hyun Jung Yang
    • Journal of Korean Physical Therapy Science
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    • v.30 no.1
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    • pp.10-22
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    • 2023
  • Background: The purpose of this study was to investigate the effect of brain education-based exercise and KPEM manual therapy integrated program on the sleep and quality of life of cancer patients. Design: Seventy subjects who were diagnosed with cancer and were undergoing treatment volunteered to participate in this study. All subjects used a nonequivalent control group pretest-posttest design for either the experimental group or the control group. In the final analysis, there were 25 subjects in the experimental group and 18 subjects in the control group. Methods: For 12 weeks, the experimental group performed brain education-based exercise (20 minutes) and KPEM manual therapy (50 minutes), and the control group performed basic physical therapy and autonomous exercise. For evaluation, the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K) and the quality of life index were measured after intervention using the European Organization for Research and Treatment of Cancer (EORTC-3.0Ver). Effect between groups, time effect over time, and group*time interaction were analyzed through a pre-test before and after the 12-week intervention period, and repeated measure ANOVA after 12 weeks of the integrated program intervention. All statistical significance levels were set at α=.05. Results: The PSQI in the time effect (p=.001) and the group*time interaction (p<.001) were statistically significant. In terms of EORTC, QL2 and PF2 were significant in time effect (p=.024; p=.021) and group*time interaction (p=.007; p=.021), whereas in RF2, significance was only found in group*time interaction (p=.028). In symptom indicators, time effect was the only significant factor in FA, SL, AP, and CO, respectively (p=.002; p=.028; p=.041; p =.005) and in DY, there were significant differences in the time effect (p=.016) and group*time interaction (p=.002). Conclusion: The brain education-based exercise and KPEM manual therapy integrated program effectively improves the sleep and quality of life of cancer patients. It is considered that this exercise and therapy can be actively used as a psychological, emotional, and physically complementary physical therapy intervention to improve the quality of life of cancer patients.

Indoor PM2.5 Concentration Distribution and Health Risk Assessment according to the Implementation of a Seasonal Management System (미세먼지 계절관리제 시행 여부에 따른 실내 PM2.5 농도 분포 및 노출에 따른 건강위해성 평가)

  • Shin-Young Park;Dann-Ki Yoon;Hyeok Jang;Sung Won Yoon;Cheol-Min Lee
    • Journal of Environmental Health Sciences
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    • v.49 no.4
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    • pp.218-227
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    • 2023
  • Background: Since 2019, the Ministry of Environment has implemented a seasonal fine dust management system from December to March, targeting high PM2.5 levels with the aim of reducing PM2.5 concentrations and protecting public health. The focus of improving the seasonal management system lies in the atmospheric PM2.5 levels. Considering the primary goal of protecting public health, it is necessary to analyze the policy effects from an exposure perspective rather than a concentration-based approach. Objectives: This study aims to quantitatively assess the improvement of indoor PM2.5 levels and the health impacts of the seasonal management system by comparing the periods before and during its implementation in residential environments. Methods: PM2.5 concentrations within residential environments in a metropolitan area were measured using an optical particle counter (IAQ-C7, K-weather, Ltd, Korea) at one-minute intervals during the pre-implementation period (November 21~25, 2022) and during the implementation period (December 19~23, 2022). Based on the measured PM2.5 concentrations, a quantitative evaluation of cancer and mortality risks was conducted according to age and gender. Results: The results of comparing indoor and outdoor PM2.5 concentrations before and during the implementation of the seasonal management system showed a decrease of approximately 56.6% and 47.9%, respectively. Health risk assessments revealed that both the safety-limit-based and safety-target-based Hazard Quotients (HQ) exceeded the threshold of 0.1 for children under 19 years of age, both before and after the implementation. The mortality risk decreased by approximately 47.9% after the implementation, with children aged 0-9 showing the highest mortality risk at 0.9%. Conclusions: The findings of this study confirmed the positive health impacts of the seasonal management system across all age groups, particularly children under 19 who are more vulnerable to fine dust exposure.

A Study on the Use of Contrast Agent and the Improvement of Body Part Classification Performance through Deep Learning-Based CT Scan Reconstruction (딥러닝 기반 CT 스캔 재구성을 통한 조영제 사용 및 신체 부위 분류 성능 향상 연구)

  • Seongwon Na;Yousun Ko;Kyung Won Kim
    • Journal of Broadcast Engineering
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    • v.28 no.3
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    • pp.293-301
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    • 2023
  • Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

Seismic Zonation on Site Responses in Daejeon by Building Geotechnical Information System Based on Spatial GIS Framework (공간 GIS 기반의 지반 정보 시스템 구축을 통한 대전 지역의 부지 응답에 따른 지진재해 구역화)

  • Sun, Chang-Guk
    • Journal of the Korean Geotechnical Society
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    • v.25 no.1
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    • pp.5-19
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    • 2009
  • Most of earthquake-induced geotechnical hazards have been caused by the site effects relating to the amplification of ground motion, which is strongly influenced by the local geologic conditions such as soil thickness or bedrock depth and soil stiffness. In this study, an integrated GIS-based information system for geotechnical data, called geotechnical information system (GTIS), was constructed to establish a regional counterplan against earthquake-induced hazards at an urban area of Daejeon, which is represented as a hub of research and development in Korea. To build the GTIS for the area concerned, pre-existing geotechnical data collections were performed across the extended area including the study area and site visits were additionally carried out to acquire surface geo-knowledge data. For practical application of the GTIS used to estimate the site effects at the area concerned, seismic zoning map of the site period was created and presented as regional synthetic strategy for earthquake-induced hazards prediction. In addition, seismic zonation for site classification according to the spatial distribution of the site period was also performed to determine the site amplification coefficients for seismic design and seismic performance evaluation at any site in the study area. Based on this case study on seismic zonations in Daejeon, it was verified that the GIS-based GTIS was very useful for the regional prediction of seismic hazards and also the decision support for seismic hazard mitigation.

Regenerative Injection Therapy on Tendon Healing: Dextrose Prolotherapy versus Platelet-Rich Plasma

  • Jungmin Lim;Won-Jae Lee;Min-Soo Seo;Seong Mok Jeong;Sae-Kwang Ku;Youngsam Kwon;Sungho Yun
    • Journal of Veterinary Clinics
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    • v.40 no.2
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    • pp.93-103
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    • 2023
  • The tendon is a dense connective tissue that connects muscle to bone and plays an essential role in joint motion. The injured tendon heals slowly owing to its low cellularity and vascularity. This study aimed to evaluate and compare the effects of regenerative injection therapy (RIT), 20 % dextrose prolotherapy (DP), and platelet-rich plasma (PRP) injections that can promote tendon healing. Twenty-one New Zealand white rabbits were divided into the control, DP, and PRP treatment groups. The superficial digital flexor tendon (SDFT) of the right hindlimb of each rabbit was used. A round defect of 2 mm was induced. Approximately 0.2 mL of 20% dextrose and autologous PRP were injected into the proximal and distal ends of the SDFT mass. Radiographic and ultrasonographic examination and cross-sectional area (CSA) calculations were performed pre-operatively and at 2, 4, and 8 weeks. The SDFT of both limbs was transected for biomechanical and histomorphometric evaluations. The SDFT of the left limb was transected for intact control. Semi-quantitative analysis was performed to evaluate the histomorphometric properties. Additional analysis was performed using H&E, Masson's trichrome, and immunohistochemical staining. The biomechanical evaluation showed that the treatment groups had higher tensile strength compared to the defect control group, while the PRP group had higher tensile strength than the DP group. On histological examination, the treatment groups appeared to be relatively closer to the remodeling phase of the healing process than the defect control group; the characteristics of the PRP group were closer to the remodeling phase than those of the DP group. The ultrasonographic examination showed different tendencies. Increased values in the CSA were observed during the early period in the treatment groups. This study suggests that PRP and DP can promote the healing of tendon injury, and these effects were superior with PRP than that with DP.

Evaluation of Removal Efficiency of Pollutants in Constructed Wetlands for Controlling Nonpoint Sources in the Daechung Reservoir Watershed (대청호 유역 비점오염원 제어를 위한 생태습지의 오염물질 제거효율 평가)

  • Pyeol-Nim Park;Young-Cheol Cho
    • Korean Journal of Ecology and Environment
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    • v.56 no.2
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    • pp.127-139
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    • 2023
  • Daechung Reservoir has been suffering from severe cyanobacterial blooming periodically due to the water pollutants from the watershed, especially nutrients from nonpoint sources. As a countermeasure, an artificial wetland was constructed to mitigate the pollutant load from the watershed by utilizing the vegetation. We investigated the water quality of the influent and outflow of the wetland during years 2014~2020 to evaluate the performance of pollutant removal through the wetland. Major pollutants (e.g. BOD, COD, SS, T-N, and T-P) were largely reduced during the retention in the wetland while nutrients removal was more efficient than that of organic matters. Pollutant removal efficiency for different inflow concentrations was also investigated to estimate the wetland's capability as a way of managing nonpoint sources. The efficiency of water treatment was significantly higher when inflow concentrations were above 75th percentile for all pollutant, implying the wetland can be applied to the pre-treatment of high pollution load including initial rainfall runoff. Furthermore, the yearly variation of removal efficiency for seven years was analyzed to better understand long-term trends in water treatment of the wetland. The annual treatment efficiency of T-P was very high in the early stages of vegetation growth with high concentration of inflow water. However, it was confirmed that the concentration of inflow water decreased, vegetation stabilized, and the treatment efficiency gradually decreased as the soil was saturated. The findings of the study suggest that artificial wetlands can be an effective method for controlling harmful algal blooms by alleviating pollutant load from the tributaries of Daechung Reservoir.

A study on the improvement of the protective shield construction method and explosion-proof tube performance for tunnel blasting (터널 발파에 대한 방호쉴드 공법 및 방폭튜브 성능 개선 연구)

  • Sang-Hwan Kim;Soo-Jin Lee;Jung-Nam Kwon;Dong-gyun Yoo;Yong-Woo Kim;Kwang-Eun Cho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.25 no.4
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    • pp.285-303
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    • 2023
  • Interest in building underground spaces is increasing for the creation of downtown infrastructure and efficient space utilization. A representative method of utilizing underground space is a tunnel, and in addition to road tunnels, the construction of utility tunnels such as power conduits and utility conduits is gradually increasing. The current basic tunnel construction method can be divided into NATM (New Austrian Tunnelling Method) and TBM (Tunnel Boring Machine). The NATM is a reliable method, but it is accompanied by vibration and noise due to blasting. In the case of the TBM excavation method, there are disadvantages in terms of construction period and construction cost, but it is possible to improve economic feasibility by introducing appropriate complementary methods. In this study, a blasting method was develop using the NATM after TBM pre-excavation using the protective shield method. This is a method that compensates for the disadvantages of each tunnel construction method, and is expected to reduce construction costs, blasting vibration, and noise. In order to review the performance of the developed method, an experiment was conducted to evaluate the performance of explosion-proof tube to which a protective shield scale model was applied, and the impact of blasting vibration of the protective shield method was analyzed.

Detecting Vehicles That Are Illegally Driving on Road Shoulders Using Faster R-CNN (Faster R-CNN을 이용한 갓길 차로 위반 차량 검출)

  • Go, MyungJin;Park, Minju;Yeo, Jiho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.105-122
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    • 2022
  • According to the statistics about the fatal crashes that have occurred on the expressways for the last 5 years, those who died on the shoulders of the road has been as 3 times high as the others who died on the expressways. It suggests that the crashes on the shoulders of the road should be fatal, and that it would be important to prevent the traffic crashes by cracking down on the vehicles intruding the shoulders of the road. Therefore, this study proposed a method to detect a vehicle that violates the shoulder lane by using the Faster R-CNN. The vehicle was detected based on the Faster R-CNN, and an additional reading module was configured to determine whether there was a shoulder violation. For experiments and evaluations, GTAV, a simulation game that can reproduce situations similar to the real world, was used. 1,800 images of training data and 800 evaluation data were processed and generated, and the performance according to the change of the threshold value was measured in ZFNet and VGG16. As a result, the detection rate of ZFNet was 99.2% based on Threshold 0.8 and VGG16 93.9% based on Threshold 0.7, and the average detection speed for each model was 0.0468 seconds for ZFNet and 0.16 seconds for VGG16, so the detection rate of ZFNet was about 7% higher. The speed was also confirmed to be about 3.4 times faster. These results show that even in a relatively uncomplicated network, it is possible to detect a vehicle that violates the shoulder lane at a high speed without pre-processing the input image. It suggests that this algorithm can be used to detect violations of designated lanes if sufficient training datasets based on actual video data are obtained.