• Plant Biotechnology Reports
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• 제3권4호
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• pp.301-307
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• 2009

To understand the adaptability of alfalfa (Medicago sativa L.) to chilling stress, we analyzed the antioxidative mechanism during seed germination. The germination rates of six alfalfa cultivars were studied comparatively at $10^{\circ}C$. Xinmu No. 1 and Northstar were selected as chilling stress-tolerant and stress-sensitive cultivars for further characterization. After chilling treatment, Xinmu No. 1 showed higher seedling growth than Northstar. Xinmu No. 1 exhibited low levels of hydrogen peroxide and lipid peroxidation compared with Northstar. In addition, shoots in Xinmu No. 1 treated with chilling showed higher activities of the superoxide dismutase, ascorbate peroxidase (APX), and catalase than those of Northstar, whereas Xinmu No. 1 showed higher APX activity in roots that Northstar. These results indicated that high antioxidation activity in Xinmu No. 1 under chilling stress is well associated with tolerance to chilling condition during germination.

• 제어로봇시스템학회논문지
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• 제22권8호
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• pp.656-664
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• 2016

While anthropomorphic robots are gaining interest, dual-arm robots are widely used in the industrial environment. Many methods exist in order to implement bimanual tasks by dual-arm robot. However, kinesthetic teaching is used in this paper. This paper suggests three different kinesthetic teaching methods that can implement most of the human task by the robot. The three kinesthetic teaching methods are joint level, task level, and contact level teaching. The task introduced in this paper is box packing, which is a popular and complex task in industrial environment. The task is programmed into the dual-arm robot by utilizing the suggested kinesthetic teaching method, and this paper claims that most tasks can be implemented by using the suggesting kinesthetic teaching methods.

• Tuberculosis and Respiratory Diseases
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• 제81권1호
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• pp.1-5
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• 2018

Asthma, remains symptomatic despite ongoing treatment with high doses of inhaled corticosteroids (ICS) in conjunction with long-acting beta-agonists (LABA), is classified as "severe" asthma. In the course of caring for those patients diagnosed with severe asthma, stepping up from ICS/LABA to more aggressive therapeutic measures would be justified, though several aspects have to be checked in advance (including inhaler technique, adherence to therapy, and possible associated comorbidities). That accomplished, it would be advisable to step up care in accordance with the Global Initiative for Asthma (GINA) recommendations. Possible strategies include the addition of a leukotriene receptor antagonist or tiotropium (to the treatment regimen). The latter has been shown to be effective in the management of several subgroups of asthma. Oral corticosteroids have commonly been used for the treatment of patients with severe asthma in the past; however, the use of oral corticosteroids is commonly associated with corticosteroid-related adverse events and comorbidities. Therefore, according to GINA 2017 these patients should be referred to experts who specialize in the treatment of severe asthma to check further therapeutic options including biologics before starting treatment with oral corticosteroids.

• ETRI Journal
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• 제38권1호
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• pp.174-184
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• 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.

• Journal of Information Processing Systems
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• 제14권4호
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• pp.926-940
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• 2018

In clustering-based approaches, cluster heads closer to the sink are usually burdened with much more relay traffic and thus, tend to die early. To address this problem, distance-aware clustering approaches, such as energy-efficient unequal clustering (EEUC), that adjust the cluster size according to the distance between the sink and each cluster head have been proposed. However, the network lifetime of such approaches is highly dependent on the distribution of the sensor nodes, because, in randomly distributed sensor networks, the approaches do not guarantee that the cluster energy consumption will be proportional to the cluster size. To address this problem, we propose a novel approach called CACD (Clustering Algorithm Considering node Distribution), which is not only distance-aware but also node density-aware approach. In CACD, clusters are allowed to have limited member nodes, which are determined by the distance between the sink and the cluster head. Simulation results show that CACD is 20%-50% more energy-efficient than previous work under various operational conditions considering the network lifetime.

• Journal of Korean Neurosurgical Society
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• 제60권4호
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• pp.481-483
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• 2017

Sphingomonas paucimobilis (S. paucimobilis) is a gram negative bacillus. It has existed in soil, drinking water and plants. It has been isolated from distilled water tanks, respirators, and hemodialysis devices at the hospital setting. Patients with chronic disorders or immune suppression may be susceptible to infections with it. This microorganism has also been reported to infect healthy persons. Both nosocomial and community-acquired infections have been reported. So far, a variety of infections have been reported, including sepsis, septic pulmonary embolism, septic arthritis, peritonitis, and endophthalmitis. Only 2 cases of meningitis have been reported so far in the literature. So far, no previous reports of culture proliferation have been reported in patients with external ventricular drains, as was the case in our patient. Therefore, our case is the first to have S. paucimobilis proliferation in cerebrospinal fluid culture during intensive care unit stay for an external ventricular drain.

• 대한한방부인과학회지
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• 제21권4호
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• pp.207-217
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• 2008

Purpose: To provide Diagnostic Criteria and Severity Evaluation Criteria of postpartum edema mainly complained by women directly after delivery. Methods: We analyzed Edema Index(ECF/TBW) analyzed by Body Composition Analyzer(InBody720) of 103 women directly after delivery who were delivered in Ob & Gy of Dongguk University Ilsan Hospital. Results: Mean value for Edema Index of 103 participants was 0.3527$\pm$0.0102, Minimum was 0.336, Maximum 0.388. From this Mean value and Edema Index distribution of participants, We suggest that we can diagnose more than 0.35 of Edema Index as Postpartum Edema, more than 0.35 and less than 0.36 as postpartum edema grade 1, more than 0.36 and less than 0.37 as grade 2, more than 0.37 as grade 3. Conclusion: This research is the first step for diagnostic criteria of postpartum edema, we suggest that diagnostic criteria of postpartum edema is more than 0.35 of Edema Index score. But this suggestion must be revaluated by additional research.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1480-1493
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• 2018

Recently, computational intelligence has received a lot of attention from researchers due to its potential applications to artificial intelligence. In computer science, computational intelligence refers to a machine's ability to learn how to compete various tasks, such as making observations or carrying out experiments. We adopted a computational intelligence solution to monitoring residual resources in cloud computing environments. The proposed residual resource monitoring scheme periodically monitors the cloud-based host machines, so that the post migration performance of a virtual machine is as consistent with the pre-migration performance as possible. To this end, we use a novel similarity measure to find the best target host to migrate a virtual machine to. The design of the proposed residual resource monitoring scheme helps maintain the quality of service and service level agreement during the migration. We carried out a number of experimental evaluations to demonstrate the effectiveness of the proposed residual resource monitoring scheme. Our results show that the proposed scheme intelligently measures the similarities between virtual machines in cloud computing environments without causing performance degradation, whilst preserving the quality of service and service level agreement.

• The Plant Pathology Journal
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• 제38권5호
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• pp.522-532
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• 2022

Gummy stem blight (GSB), a common and serious disease in cucurbits worldwide, is caused by three genetically distinct species: Stagonosporopsis cucurbitacearum (syn. Didymella bryoniae), S. citrulli, and S. caricae. In Korea, however, the three species of Stagonosporopsis have been barely characterized. In this study, 21 Stagonosporopsis isolates were recovered from watermelon (Citrullus lanatus) and muskmelon (Cucumis melo) leaves and stem showing blight symptoms collected from 43 fields in Korea. Sequence analysis performed with an internal transcribed spacer region was not competent to differentiate the Stagonosporopsis isolates. On the contrary, analysis of β-tubulin (TUB) genes and three microsatellite markers, Db01, Db05, and Db06, successfully differentiated Stagonosporopsis isolates. Further sequence analysis identified two Stagonosporopsis species, S. citrulli and S. caricae, and one previously unknown species of Stagonosporopsis. Representative isolates from three species caused dark water-soaked lesions on the detached watermelon and muskmelon leaves with no significant differences in the aggressiveness. Our results indicate that the S. citrulli, S. caricae, and unknown Stagonosporopsis sp. are all causal agents of GSB for both watermelon and muskmelon. This is the first report of a new species and the population structure of Stagonosporopsis species causing GSB in Korea.

• Molecules and Cells
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• 제45권11호
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• pp.806-819
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• 2022

Synaptic accumulation of α-synuclein (α-Syn) oligomers and their interactions with VAMP2 have been reported to be the basis of synaptic dysfunction in Parkinson's disease (PD). α-Syn mutants associated with familial PD have also been known to be capable of interacting with VAMP2, but the exact mechanisms resulting from those interactions to eventual synaptic dysfunction are still unclear. Here, we investigate the effect of α-Syn mutant oligomers comprising A30P, E46K, and A53T on VAMP2-embedded vesicles. Specifically, A30P and A53T oligomers cluster vesicles in the presence of VAMP2, which is a shared mechanism with wild type α-Syn oligomers induced by dopamine. On the other hand, E46K oligomers reduce the membrane mobility of the planar bilayers, as revealed by single-particle tracking, and permeabilize the membranes in the presence of VAMP2. In the absence of VAMP2 interactions, E46K oligomers enlarge vesicles by fusing with one another. Our results clearly demonstrate that α-Syn mutant oligomers have aberrant effects on VAMP2-embedded vesicles and the disruption types are distinct depending on the mutant types. This work may provide one of the possible clues to explain the α-Syn mutant-type dependent pathological heterogeneity of familial PD.