• Title/Summary/Keyword: Repeated Impacts

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Effect of Pesticide on Biological Traits of an Orb-web Spider, Trichonephila clavata Koch (Araneae: Araneidae) in Pinus densiflora Forests in Mt. Geumjeong, Korea (살충제 살포가 금정산 소나무림 내 무당거미(거미목 : 왕거미과)의 생물적 형질에 미치는 영향)

  • Jung, Jong-Kook;Kim, Junheon;Kim, Dongsoo;Jung, Chuleui
    • Korean journal of applied entomology
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    • v.59 no.3
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    • pp.209-215
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    • 2020
  • Debates over the ecological and public health impacts of aerial pesticide sprays are increasing. This is particularly true for controlling Monochamus beetles, which are vector insects of pinewood nematodes. In 2017, adult female orb-web spiders, Trichonephila clavata, were sampled from pine forests in Yangsan-si, Gyeongsangnam-do, Korea, where the aerial pesticide spray, fenitrothion or thiacloprid, was used for several decades. The biological traits of the spiders (body weight, body length, carapace width, and total hind leg length) were compared among treatment sites (no-spray, sprayed three times, and sprayed five times), and differences were observed. The body length, carapace width, and total hind leg length of the spiders in the sprayed areas were significantly shorter than in the no-spray area, but there were no differences between the area sprayed three or five times. These results indicate that repeated exposures to an aerial pesticide spray can alter morphological parameters, which influences population-level fitness. Future studies should monitor the spider long-term responses to pesticides (a direct effect) and prey availability (an indirect effect).

The behavior of tunnel and ground according to the loading of building construction on the ground (터널 상부 지반에 시공되는 건물 하중에 따른 터널 및 주변지반의 거동)

  • Cha, Seok-Kyu;Lee, Sang Duk
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.20 no.4
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    • pp.731-742
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    • 2018
  • Recently, the construction of the urban area has been rapidly increasing, and the excavation work of the ground has been frequently performed at the upper part of the existing underground structure. Especially, when the structure is constructed after the excavation of the ground, the loading and unloading process is repeated in the lower ground of the excavation so that it can affect existing underground structures. Therefore, in order to maintain the stability of the existing underground structure due to the excavation of the ground, it is necessary to accurately grasp the influence of the excavation and the structure load in the adjoining part. In this study, the effects of the ground excavation and the new structure load on the existing tunnel were investigated by large - scale experiment and numerical analysis. For this purpose, a large model tester with a size reduced to 1/5 of the actual size was constructed, and model tests and numerical analyzes were carried out to investigate the effects of the excavation of the body ground by maintaining the distance between the excavation floor and the tunnel ceiling constant, The impacts were identified. As a result of the study, it was confirmed that the deeper the excavation depth, the larger the influence on the existing tunnel. At the same distance, it was confirmed that the tunnel displacement increased with the increase of the building load, and the ground stress increased up to 2.4 times. From this result, it was confirmed that the effect of the increase of the underground stress on the existing tunnel is affected by the increase of the building load, and the influence of the underground stress is decreased from the new load width above 3.0D.

Effect of COVID-19 Pandemic on Negative Emotions in Korean College Students (코로나바이러스(COVID-19) 유행이 대학생의 부정정서에 미치는 영향)

  • Jang, Jun-Hyuk;Park, Seung-Hee;Kim, Jin-Hwi;Kim, Jongwan
    • Science of Emotion and Sensibility
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    • v.24 no.4
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    • pp.39-52
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    • 2021
  • This study aims to investigate the effect of the coronavirus disease 2019 (COVID-19) epidemic on negative emotions, such as anxiety, depression, fear, and stress, in Korean college students. The study recruited students from J University and conducted interviews across three time points, namely, March 2019, March 2020, and November 2020. For three time points, the participants responded to structured questions about situations they may have encountered and they were asked to summarize their responses. Repeated-measures ANOVAs were performed to examine whether differences exist in negative emotions between time points. Furthermore, polynomial trend analyses were conducted to examine resultant patterns over time. The results revealed that negative emotions displayed significant differences between time points. Moreover, trend analyses revealed a curvilinear pattern, which indicates that negative emotions increased and were then sustained. These findings suggest that negative emotions may continue to become prevalent among college students with the increased impacts of the ongoing COVID-19 pandemic. The study discussed the need for psychological support systems, such as stress management and psychological counseling, for college students.

Assessing the resilience of urban water management to climate change

  • James A. Griffiths
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.32-32
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    • 2023
  • Incidences of urban flood and extreme heat waves (due to the urban heat island effect) are expected to increase in New Zealand under future climate change (IPCC 2022; MfE 2020). Increasingly, the mitigation of such events will depend on the resilience of a range Nature-Based Solutions (NBS) used in Sustainable Urban Drainage Schemes (SUDS), or Water Sensitive Urban Design (WSUD) (Jamei and Tapper 2019; Johnson et al 2021). Understanding the impact of changing precipitation and temperature regimes due climate change is therefore critical to the long-term resilience of such urban infrastructure and design. Cuthbert et al (2022) have assessed the trade-offs between the water retention and cooling benefits of different urban greening methods (such as WSUD) relative to global location and climate. Using the Budyko water-energy balance framework (Budyko 1974), they demonstrated that the potential for water infiltration and storage (thus flood mitigation) was greater where potential evaporation is high relative to precipitation. Similarly, they found that the potential for mitigation of drought conditions was greater in cooler environments. Subsequently, Jaramillo et al. (2022) have illustrated the locations worldwide that will deviate from their current Budyko curve characteristic under climate change scenarios, as the relationship between actual evapotranspiration (AET) and potential evapotranspiration (PET) changes relative to precipitation. Using the above approach we assess the impact of future climate change on the urban water-energy balance in three contrasting New Zealand cities (Auckland, Wellington, Christchurch and Invercargill). The variation in Budyko curve characteristics is then used to describe expected changes in water storage and cooling potential in each urban area as a result of climate change. The implications of the results are then considered with respect to existing WSUD guidelines according to both the current and future climate in each location. It was concluded that calculation of Budyko curve deviation due to climate change could be calculated for any location and land-use type combination in New Zealand and could therefore be used to advance the general understanding of climate change impacts. Moreover, the approach could be used to better define the concept of urban infrastructure resilience and contribute to a better understanding of Budyko curve dynamics under climate change (questions raised by Berghuijs et al 2020)). Whilst this knowledge will assist in implementation of national climate change adaptation (MfE, 2022; UNEP, 2022) and improve climate resilience in urban areas in New Zealand, the approach could be repeated for any global location for which present and future mean precipitation and temperature conditions are known.

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Effect of Germinated Black Sticky Rice with Giant Embryo on Alcohol Intake in C57BL/6 Mice (흑찰거대배아미 발아현미배아의 섭취가 C57BL/6 생쥐의 알코올 섭취에 미치는 영향)

  • Shin, Dong-Hun;Kim, Sung-Gon;Kim, Hyeon-Kyeong;Huh, Sung-Young;Byun, Won-Tan
    • Journal of Life Science
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    • v.30 no.3
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    • pp.260-266
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    • 2020
  • Alcohol impacts many central nervous systems, such as dopamine, serotonin, opioids, and gamma-aminobutyric acid (GABA), leading to addiction. Many studies have investigated the relationship between GABA and alcoholism. The purpose of this study was to investigate the effects of GABA high and low rice intake on the alcohol intake behavior of mice. Black sticky rice with giant embryo (BSRGE), black sticky rice (BSR), giant embryo rice (GER), and rice (Rice) were germinated for 48 hr in brown rice. The embryos were then collected and used in the study. The diets were fed to respective C57BL/6 mouse groups ad libitum for 16 days and investigated for 2 hr alcohol intake, 22 hr water intake, 24 hr feed intake, and body weight. As a result of the repeated measure of ANOVA for the daily change of alcohol intake for 2 hr daily between the BSRGE and BSR groups, there was a significant difference in the number of days of intake (DF = 7, F = 4.812, p = 0.026). A significant daily decrease in alcohol intake was observed in the BSRGE group compared to the BSR group. This reduction was consistent from Day 10 to Day 16. Alcohol consumption also significantly decreased in the GER group compared to the Rice group. This decrease was observed from Day 12 to Day 16. In conclusion, BSRGE and GER resulted in decreased alcohol intake in C57BL/6 mice compared to BSR and rice. This suggests that BSRGE may prevent relapse in patients with alcohol use disorder.

A study on improving self-inference performance through iterative retraining of false positives of deep-learning object detection in tunnels (터널 내 딥러닝 객체인식 오탐지 데이터의 반복 재학습을 통한 자가 추론 성능 향상 방법에 관한 연구)

  • Kyu Beom Lee;Hyu-Soung Shin
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.26 no.2
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    • pp.129-152
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    • 2024
  • In the application of deep learning object detection via CCTV in tunnels, a large number of false positive detections occur due to the poor environmental conditions of tunnels, such as low illumination and severe perspective effect. This problem directly impacts the reliability of the tunnel CCTV-based accident detection system reliant on object detection performance. Hence, it is necessary to reduce the number of false positive detections while also enhancing the number of true positive detections. Based on a deep learning object detection model, this paper proposes a false positive data training method that not only reduces false positives but also improves true positive detection performance through retraining of false positive data. This paper's false positive data training method is based on the following steps: initial training of a training dataset - inference of a validation dataset - correction of false positive data and dataset composition - addition to the training dataset and retraining. In this paper, experiments were conducted to verify the performance of this method. First, the optimal hyperparameters of the deep learning object detection model to be applied in this experiment were determined through previous experiments. Then, in this experiment, training image format was determined, and experiments were conducted sequentially to check the long-term performance improvement through retraining of repeated false detection datasets. As a result, in the first experiment, it was found that the inclusion of the background in the inferred image was more advantageous for object detection performance than the removal of the background excluding the object. In the second experiment, it was found that retraining by accumulating false positives from each level of retraining was more advantageous than retraining independently for each level of retraining in terms of continuous improvement of object detection performance. After retraining the false positive data with the method determined in the two experiments, the car object class showed excellent inference performance with an AP value of 0.95 or higher after the first retraining, and by the fifth retraining, the inference performance was improved by about 1.06 times compared to the initial inference. And the person object class continued to improve its inference performance as retraining progressed, and by the 18th retraining, it showed that it could self-improve its inference performance by more than 2.3 times compared to the initial inference.

The Melodic Structure of the Bulmosan Youngsanjae, Ongho-ge (불모산 영산재 범패 옹호게의 선율구조)

  • Choi, Heon
    • (The) Research of the performance art and culture
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    • no.34
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    • pp.383-421
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    • 2017
  • Because the Jitsori and the Hotsori of the Beompae(the Korean Budhhist chant) has no meter and no Jangdan(a Rhythmic cycle of the Korean Music), so it is hard to analyze the melody of the Beompae. Also the melody of the Beompae is different from that of the other Korean traditional music, so studying of the Beompae has been out of the limelight of many scholars, studying the Korean music. But the melody of Beompae had been handed down for thousands of years in Korea, it and other Korean trditional music, had exchanged the impacts each other for a longtime. So I thinks that the Korean Beomapae have shared the similarity of the musical features with the other Korean traditional music. Because the Beompae of the Bulmosan Yeongsanjae on the Geongsangnamdo province has also no meters and no Jangdan, it is difficult to understand, too. But because the Onghoge of Bulmosan Yeongsanjae have a well-regulated melodic structure in comparison with the Beompae of the Seoul province, so called Geongjae Beompae, it seem to be easy to analyze its melody. So I will analyze the melody of Bulmosan Yeongsanjae Onghoge. This analyze should be contribute to investigate the rule of the melodic progress method on the convoluted Beompae melody. Onghoge has been sung on the procedure for Siryeon, Samsiniun(Goebuliun), Jojeonjeoman, Sinjungjakbeop. And the monk for the ritual has sung the chant first to purify the ritual place and to protect the soul. They has called the song, Onghoge a Jitsori at the Bulmosan Yeongsanjae preservation society of the Gyeongnam province. Commonly, there were Jitsori and Hotsori in the Beompae melody, and the melody of Jitsori is longer than that of the Hotsori. So, the melody of Onghoge is lengthened. In other word, the melody of the Onghoge show the lengthened and curved melodic feture of the Beompae very well. Hahn Manyeong, who had studied on the Beompae, Budhhist chant, said that the Hotsori has five letters in a phrase, and there were 4 phrases in a song. And he had insisted that the form of the song, Hotsori, is ABAB. I analyze the melody of the Onghoge by the Hahn's method. I will extract the Wonjeom(a primary tone of a skeletal melodic structure) from the melody of Onghoge, and in the progress of the Wonjeom of Onghoge melodies, I will arrange the repeat of the Wonjeom melody. It is a structural melody of Onghoge. The first phrase of Bulmosan Yeongsanjae Onghoge, 'Pal bu geum gang ho do ryang(八部金剛護道場)' have 4 structural melodies, the second phrase 'Gong sin sog bu bo cheon wang(空神速赴報天王)', the third phrase 'Sam gye je cheon ham le jip(三界諸天咸來集)', the firth phrase 'Yeo geum bul chal bo jeong sang(如今佛刹補禎祥)' have 2 structural melodies each. The structural melodies of Onghoge are 10 in total. And the structural melody of the Onghoge is formed the shape of 'Mi - La - do - La - Mi'. All of the Onghoge melodies is repeated 10 times by the melodic shape. The form of the Onghoge is not ABAB by Hahn, but is 10 times repeat of the shape.