• Title/Summary/Keyword: Suspension method

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Suppressive Effect of Organic Farming Materials on the Development of Tomato Gray Mold (토마토 잿빛곰팡이병에 대한 유기농업자재의 억제효과)

  • Hong, Sung-Jun;Kim, Yong-Ki;Shim, Chang-Ki;Kim, Min-Jeong;Park, Jong-Ho;Han, Eun-Jung;Jee, Hyeong-Jin;Kim, Suk-Chul
    • Korean Journal of Organic Agriculture
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    • v.23 no.3
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    • pp.567-582
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    • 2015
  • Botrytis cinerea infects stems, leaves and fruits of greenhouse tomato and can cause serious economic losses. This study was conducted to develop organic farming control method against tomato gray mold. Twenty two organic farming materials including mineral and plant extracts were screened for the suppressive activity against Botrytis cinerea, in vitro and in vivo. Among the organic farming materials, sulfur, copper, Chinese twinleaf extract and rhubarb extract decreased by 51.7-90% of the spore germination of Botrytis cinerea. Also, gray mold incidence was reduced more than 90% on tomato stems by treating sulfur, seaweed extracts, rhubarb root extracts and Chinese twinleaf extract. After the selected four organic farming materials were applied on tomato cultivated in greenhouse, their control effects against the tomato gray mold were tested. When the water soluble sulfur was foliar-sprayed on the tomato leaves infected by artificial inoculation with spore suspension of Botrytis cinerea, it showed 87.9% of control value. Also, control activity of the water soluble sulfur was paralleled with chemical fungicide, diethofencarb+carbendazim. The above mentioned results indicate the sulfur formulation can be used as chemical fungicide alternatives for controlling tomato gray mold in the greenhouse.

Role of a Phytotoxin Produced by Fusarium oxysporum f. sp. raphani on Pathogenesis of and Resistance to the Fungus (무 시들음병균이 생산하는 Phytotoxin의 병원성 및 저항성에서 역할)

  • Shim, Sun-Ah;Kim, Jin-Cheol;Jang, Kyoung Soo;Choi, Yong Ho;Kim, Heung Tae;Choi, Gyung Ja
    • Horticultural Science & Technology
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    • v.31 no.5
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    • pp.626-632
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    • 2013
  • In the course of a developing screening method for resistant radish to Fusarium oxysporum f. sp. raphani, we found that the fungus produces phytotoxic compound against Raphanus sativus. The culture filtrate of F. oxysporum f. sp. raphani KR1 represented the strongest phytotoxicity when the fungus was incubated in the malt extract broth with 150 rpm at $25^{\circ}C$ for 14 days. Under bioassay-guided purification, we isolated a substance from liquid culture of F. oxysporum f. sp. raphani KR1, with phytotoxic effect against R. sativus. The compound was identified as fusaric acid by mass and nuclear magnetic resonance spectral analyses. Phytotoxicity of the compound against cruciferous vegetable crops, including radish, cabbage, and broccoli, was investigated. Fusaric acid represented phytotoxicity on radish seedlings by concentration dependant manner. And the phytotoxin demonstrated strong phytotoxicity on the resistant cultivars as well as susceptible cultivars of radish to F. oxysporum f. sp. raphani. In addition, fusaric acid isolated from the fungus also showed a potent phytotoxic efficacy against non-host Brassicaceae crops of the fungus such as cabbage and broccoli. The results demonstrate that fusaric acid produced by F. oxysporum f. sp. raphani is non-host-specific toxin and for screening of resistant radish to the fungal pathogen, spore suspension of the fungus without the phytotoxin has to be used.

Quantitative Analysis of Feline Calicivirus Inactivation using Real-time RT-PCR (Real-time RT-PCR을 이용한 Feline Calicivirus 불활성화의 정량적 분석)

  • Jeong, Hye Mi;Kim, Kwang Yup
    • Journal of Food Hygiene and Safety
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    • v.29 no.1
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    • pp.31-39
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    • 2014
  • Norovirus causes acute gastroenteritis in all age groups and its food poisoning outbreaks are rapidly increasing in Korea. Reverse transcription-polymerase chain reaction (RT-PCR) is most widely used for the rapid detection of foodborne viruses due to high sensitivity. However, the false positive results of RT-PCR obtained against already inactivated viruses could be a serious drawbacks in food safety area. In this study, we investigated a method to yield true positive RT-PCR results only with alive viruses. To decompose the RNA genes from dead viruses, the enzymatic treatments composed of proteinse K and Ribonuclease A were applied to the sanitized and inactivated virus particles. Another aim of this study was to quantify the efficiencies of several major sanitizing treatments using real-time RT-PCR. Feline calicivirus (FCV) that belongs to the same Caliciviridae family with norovirus was used as a surrogate model for norovirus. The initial level of virus in control suspension was approximately $10^4$ PFU/mL. Most of inactivated viruses treated with the enzymatic treatment for 30 min at $37^{\circ}C$ were not detected in RT-PCR, Quantification results to verify the inactivation efficiencies of sanitizing treatments using real-time RT-PCR showed no false positive in most cases. We could successfully develope a numerical quantification process for the inactivated viruses after major sanitizing treatments using real-time RT-PCR. The results obtained in this study could provide a novel basis of rapid virus quantification in food safety area.

Experiences of Ageism and "Self-Ageism" (노인차별 경험과 자기연령주의(self-ageism))

  • Kim, Juhyun;Oh, Hyein;Ju, Kyonghee
    • 한국노년학
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    • v.40 no.4
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    • pp.659-689
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    • 2020
  • This study focuses on the process of internalizing the perception of negative discrimination among elderly people who have experienced age discrimination. The grounded theory method was used to identify the age discrimination experienced by the elderly in their daily lives and to explore the consequences of such discrimination through self-ageism. According to the analysis results, the elderly respond not only to explicit discrimination but also to implicit discrimination. In this process, the stronger the pain of old age (poverty, disease, ignorance, and solitude) and the stronger the memory of failing to respond to discrimination, the higher the level of self-ageism. "Self-ageism" has internalized the negative image of the elderly, who have been discriminated against by age, resulting in disadvantages in terms of quality of life through various reject/separate/suspension actions in reality. In the presence of supportive resources such as health, institutional support, and caregivers, the elderly have room to overcome self-ageism through more active ways. However elderly people who cannot motivate themselves and they lack these resources, elderly are trapped in negative reflux caused by self-ageism and sustained a depressed and shrinking life. In this state, it is not easy to motivate themselves and make physical, cognitive, emotional and social responses. Therefore, in this analysis, we specifically noted two aspects, contextual conditions and interventional conditions, and proposed programs for synchronizing senior citizens and improving resiliency from a microscopic point of view, and argued for the need to develop systems such as supplementing welfare and health service systems related to the entire life cycle, expanding accessibility and 'age-integration' through 'Community Care', awareness improvement and anti-discrimination laws.

Development of Automated Statistical Analysis Tool using Measurement Data in Cable-Supported Bridges (특수교 계측 데이터 자동 통계 분석 툴 개발)

  • Kim, Jaehwan;Park, Sangki;Jung, Kyu-San;Seo, Dong-Woo
    • Journal of Korean Society of Disaster and Security
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    • v.15 no.3
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    • pp.79-88
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    • 2022
  • Cable-supported bridges, as important large infrastructures, require a long-term and systematic maintenance strategy. In particular, various methods have been proposed to secure safety for the bridges, such as installing various types of sensor on members in the bridges, and setting management thresholds. It is evidently necessary to propose a strategic plan to efficiently manage increasing number of cable-supported bridges and data collected from a number of sensors. This study aims to develop an analysis tool that can automatically remove abnormal signals and calculate statistical results for the purpose of efficiently analyzing a wide range of data collected from a long span bridge measurement system. To develop the tool, basic information such as the types and quantity of sensors installed in long span bridges and signal characteristics of the collected data were analyzed. Thereafter, the Humpel filtering method was used to determine the presence or absence of an abnormality in the signal and then filtered. The statistical results with filtered data were shown. Finally, one cable-stayed bridge and one suspension bridge currently in use were chosen as the target bridges to verify the performance of the developed tool. Signal processing and statistical analysis with the tool were performed. The results are similar to the results reported in the existing work.

Establishment of a Standard Procedure for Safety Inspections of Bridges Using Drones (드론 활용 교량 안전점검을 위한 표준절차 정립)

  • Lee, Suk Bae;Lee, Kihong;Choi, Hyun Min;Lim, Chi Sung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.2
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    • pp.281-290
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    • 2022
  • In Korea, the number of national facilities for which a safety inspection is mandatory is increasing, and a safer safety inspection method is needed. This study aimed to increase the efficiency of the bridge safety inspection by enabling rapid exterior inspection while securing the safety of inspectors by using drones to perform the safety inspections of bridges, which had mainly relied on visual inspections. For the research, the Youngjong Grand Bridge in Incheon was selected as a test bed and was divided into four parts: the warren truss, suspension bridge main cable, main tower, and pier. It was possible to establish a five-step standard procedure for drone safety inspections. The step-by-step contents of the standard procedure obtained as a result of this research are: Step 1, facility information collection and analysis, Step 2, analysis of vulnerable parts and drone flight planning, Step 3, drone photography and data processing, Step 4, condition evaluation by external inspection, Step 5, building of external inspection diagram and database. Therefore, if the safety inspections of civil engineering facilities including bridges are performed according to this standard procedure, it is expected that these inspection can be carried out more systematically and efficiently.

Effect of Nano-sized Calcium-silicate-hydrate (C-S-H) Crystals on Cement Hydration (나노 크기 칼슘-실리케이트-하이드레이트(C-S-H) 결정이 시멘트 수화에 미치는 영향 분석)

  • Gyeong-Tae Kim;Su-Ji Woo;Sung-Won Yoo;Young-Cheol Choi
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.2
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    • pp.153-160
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    • 2023
  • In this study, nano-sized C-S-H crystals were synthesized using the liquid phase reaction method and their properties were investigated. The synthesized C-S-H crystals were added to the cement composite in suspension form to determine their effect on the hydration properties of the cement. The amount of chemical admixture was varied to obtain nano-sized C-S-H crystals with optimal agglomerated morphology, and SEM photographs were analyzed. A cleaning process was added to remove harmful substances other than the synthesiz ed C-S-H crystals. It was found that the concentration of harmful substances was reduced in the case of C-S-H crystals subjected to the cleaning process. The synthesized C-S-H suspensions were prepared with and without the cleaning process, and cement composites were prepared with the cement weight content as the main variable. The effect of C-S-H crystals on the initial hydration properties of the cement was confirmed by microhydration heat analysis. In addition, mortar specimens were prepared to measure the compressive strength over time. The test results showed that the nano-sized C-S-H crystals act as nucleation sites in the cement paste to promote the early hydration of the cement and increase the early compressive strength.

Performance Evaluation of Loss Functions and Composition Methods of Log-scale Train Data for Supervised Learning of Neural Network (신경 망의 지도 학습을 위한 로그 간격의 학습 자료 구성 방식과 손실 함수의 성능 평가)

  • Donggyu Song;Seheon Ko;Hyomin Lee
    • Korean Chemical Engineering Research
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    • v.61 no.3
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    • pp.388-393
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    • 2023
  • The analysis of engineering data using neural network based on supervised learning has been utilized in various engineering fields such as optimization of chemical engineering process, concentration prediction of particulate matter pollution, prediction of thermodynamic phase equilibria, and prediction of physical properties for transport phenomena system. The supervised learning requires training data, and the performance of the supervised learning is affected by the composition and the configurations of the given training data. Among the frequently observed engineering data, the data is given in log-scale such as length of DNA, concentration of analytes, etc. In this study, for widely distributed log-scaled training data of virtual 100×100 images, available loss functions were quantitatively evaluated in terms of (i) confusion matrix, (ii) maximum relative error and (iii) mean relative error. As a result, the loss functions of mean-absolute-percentage-error and mean-squared-logarithmic-error were the optimal functions for the log-scaled training data. Furthermore, we figured out that uniformly selected training data lead to the best prediction performance. The optimal loss functions and method for how to compose training data studied in this work would be applied to engineering problems such as evaluating DNA length, analyzing biomolecules, predicting concentration of colloidal suspension.

Evaluation of Garlic Germplasm for Resistance to Leaf Blight Caused by Stemphylium vesicarium (마늘 유전자원의 Stemphylium vesicarium에 의한 잎마름병 저항성 평가)

  • Jin Ju Lee;JiWon Han;Hun Kim;Jin-Cheol Kim;Gyung Ja Choi
    • Research in Plant Disease
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    • v.30 no.2
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    • pp.124-130
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    • 2024
  • Leaf blight caused by Stemphylium vesicarium is one of the most important fungal diseases of garlic (Allium sativum L.) worldwide, which results in a reduction of quality and yield. The breeding of resistant cultivars is an efficient approach to decrease the use of chemical fungicides and minimize crop losses. In this study, to find the resistant garlic resources against S. vesicarium, we evaluated the resistance degree of 20 garlic germplasms. To do this, garlic seedlings at four-leaf stage were rubbed with nonabsorbent cotton and then inoculated with spore suspension (3.0×105 spores/ml of potato dextrose broth) of S. vesicarium by spray method. Three to seven days after inoculation, the infected leaf area (%) of garlic seedling was measured. 'Daeseo' and 'Namdo' were included as susceptible and resistant control cultivars, respectively. After 3 to 7 days of incubation, the infected leaf area (%) of garlic seedling was measured. Our results showed that IT245512, IT245528, and IT244068 lines exhibited the highest resistance against S. vesicarium, whereas IT257134 and IT253043 lines were more susceptible than the susceptible cultivar 'Daeseo'. Based on the results, the resistant genetic resources selected in this study can be used a basic material for resistant garlic breeding system against leaf blight.

Technique to Reduce Container Restart for Improving Execution Time of Container Workflow in Kubernetes Environments (쿠버네티스 환경에서 컨테이너 워크플로의 실행 시간 개선을 위한 컨테이너 재시작 감소 기법)

  • Taeshin Kang;Heonchang Yu
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.3
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    • pp.91-101
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    • 2024
  • The utilization of container virtualization technology ensures the consistency and portability of data-intensive and memory volatile workflows. Kubernetes serves as the de facto standard for orchestrating these container applications. Cloud users often overprovision container applications to avoid container restarts caused by resource shortages. However, overprovisioning results in decreased CPU and memory resource utilization. To address this issue, oversubscription of container resources is commonly employed, although excessive oversubscription of memory resources can lead to a cascade of container restarts due to node memory scarcity. Container restarts can reset operations and impose substantial overhead on containers with high memory volatility that include numerous stateful applications. This paper proposes a technique to mitigate container restarts in a memory oversubscription environment based on Kubernetes. The proposed technique involves identifying containers that are likely to request memory allocation on nodes experiencing high memory usage and temporarily pausing these containers. By significantly reducing the CPU usage of containers, an effect similar to a paused state is achieved. The suspension of the identified containers is released once it is determined that the corresponding node's memory usage has been reduced. The average number of container restarts was reduced by an average of 40% and a maximum of 58% when executing a high memory volatile workflow in a Kubernetes environment with the proposed method compared to its absence. Furthermore, the total execution time of a container workflow is decreased by an average of 7% and a maximum of 13% due to the reduced frequency of container restarts.