• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4403-4408
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• 2013

Background: Chronic inflammation is considered as an important factor in the pathogenesis of lung cancer. The presence of inflammatory cells and higher levels of pro-inflammatory cytokines in the tumor microenvironment and their surrounding tissues is gaining much importance in research. Materials and Methods: One hundred ninety NSCLC cases and 200 age, smoking and sex matched controls were evaluated for association of IL-8 -251 (rs4073) and IL-8 -845 (rs2227532) in our population. Restriction fragment length polymorphism (RFLP) was used followed by direct sequencing for the detection of SNPs. Results: The IL-8 -845 polymorphism was not found in our population. No significant association was observed between the IL-8 -251 AT genotypes and IL-8 -25 AA genotypes and NSCLC (p=0.05) in our population. The IL-8 -251 A allele was also non-significant (p=0.05) in NSCLC patients. Conclusions: In conclusion, this report reveals lack of association between IL-8 - 251 A/T polymorphism and NSCLC in our Kashmir Valley population.

• 한국환경농학회:학술대회논문집
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• 2009.07a
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• pp.228-239
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• 2009

The observations on climate change show a clear increase in the temperature of the Earth's surface and the oceans, a reduction in the land snow cover, and melting of the sea ice and glaciers. The effects of climate change are likely to include more variable weather, heat waves, increased mean temperature, rains, flooding and droughts. The threat of climate change and global warming on human and animal health is now recognized as a global issue. This presentation is described an overview of the latest scientific knowledge on the impact of climate change on zoonotic diseases. Climate strongly affects agriculture and livestock production and influences animal diseases, vectors and pathogens, and their habitat. Global warming are likely to change the temporal and geographical distribution of infectious diseases, including those that are vector-borne such as West Nile fever, Rift Valley fever, Japanese encephalitis, bluetongue, malaria and visceral leishmaniasis, and other diarrheal diseases. The distribution and prevalence of vector-borne diseases may be the most significant effect of climate change. The impact of climate change on the emergence and re-emergence of animal diseases has been confirmed by a majority of countries. Emerging zoonotic diseases are increasingly recognized as a global and regional issue with potential serious human health and economic impacts and their current upward trends are likely to continue. Coordinated international responses are therefore essential across veterinary and human health sectors, regions and countries to control and prevent emerging zoonoses. A new early warning and alert systems is developing and introducing for enhancing surveillance and response to zoonotic diseases. And international networks that include public health, research, medical and veterinary laboratories working with zoonotic pathogens should be established and strengthened. Facing this challenging future, the long-term strategies for zoonotic diseases that may be affected by climate change is need for better prevention and control measures in susceptible livestock, wildlife and vectors in Korea. In conclusion, strengthening global, regional and national early warning systems is extremely important, as are coordinated research programmes and subsequent prevention and control measures, and need for the global surveillance network essential for early detection of zoonotic diseases.

• Journal of KIISE:Information Networking
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• v.37 no.5
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• pp.339-350
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• 2010

Despite lots of efforts to obtain an accurate picture of structure at the level of individual ASes, there is a few application works using the AS-level Internet topology. In this paper, we show that the power-law fits the number of down-stream customer ASes very well and also present the distributions of AS links with the "public view" from UCLA IRL laboratory. Moreover, we obtain the distributions of source-destination pairs of routing hops for two sites in Korea and the United States, and then we propose a new method to decide the randomness of Internet traffic using the obtained distributions and the BGP valley-free routing policy. The randomness of traffic must be a portent of outbreak of the distributed denial-of-service attacks.

• Journal of Nutrition and Health
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• v.53 no.6
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• pp.563-569
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• 2020

Purpose: The vascular smooth muscle cells (VSMCs) in mature animals have implicated to play a major role in the progression of cardiovascular diseases such as atherosclerosis. This study aimed at optimizing the protocol in culturing primary VSMCs (pVSMCs) from rat thoracic aorta and investigating the effect of cellular zinc (Zn) deficiency on cell proliferation of the isolated pVSMCs. Methods: The thoracic aorta from 7-month-old Sprague Dawley rats was isolated, minced and digested by the enzymatic process of collagenase I and elastase, and then inoculated with the culture Dulbecco Modified Eagle Medium (DMEM) at 37℃ in an incubator. The primary cell culture morphology was observed using phase-contrast microscopy and cellular Zn was depleted using Chelex-100 resin (extracellular zinc depletion only) or 3 µM N,N,N',N'-tetrakis(2-pyridinylmethyl)-1,2-ethanediamine (TPEN) (extracellular and intracellular zinc depletion). Western blot analysis was used for the detection of SM22α and calponin as smooth muscle cell marker proteins and von Willebrand factor as endothelial cell marker protein to detect the culture purity. Cell proliferation by Zn depletion (1 day) was measured by MTT assay. Results: A primary culture protocol for pVSMCs from rat thoracic aorta was developed and optimized. Isolated cultures exhibited hill and valley morphology as the major characteristics of pVSMCs and expressed the smooth muscle cell protein markers, SM22α and calponin, while the endothelial marker von Willebrand factor was hardly detected. Zn deprivation for 1 day culture decreased rat primary vascular smooth muscle cell proliferation and this pattern was more prominent under severe Zn depletion (3 µM TPEN), while less prominent under mild Zn depletion (Chelexing). Conclusion: Our results suggest that cellular Zn deprivation decreased pVSMC proliferation and this may be involved in phenotypic modulation of pVSMC in the aorta.

• Journal of Veterinary Science
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• v.24 no.3
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• pp.48.1-48.13
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• 2023

Background: Senecavirus A (SVA), a member of the family Picornaviridae, is newly discovered, which causes vesicular lesions, lameness in swine, and even death in neonatal piglets. SVA has rapidly spread worldwide in recent years, especially in Asia. Objectives: We conducted a global meta-analysis and systematic review to determine the status of SVA infection in pigs. Methods: Through PubMed, VIP Chinese Journals Database, China National Knowledge Infrastructure, and Wanfang Data search data from 2014 to July 26, 2020, a total of 34 articles were included in this analysis based on our inclusion criteria. We estimated the pooled prevalence of SVA in pigs by the random effects model. A risk of bias assessment of the studies and subgroup analysis to explain heterogeneity was undertaken. Results: We estimated the SVA prevalence to be 15.90% (1,564/9,839; 95% confidence interval [CI], 44.75-65.89) globally. The prevalence decreased to 11.06% (945/8,542; 95% CI, 28.25-50.64) after 2016. The highest SVA prevalence with the VP1-based RT-PCR and immunohistochemistry assay was 58.52% (594/1,015; 95% CI, 59.90-83.96) and 85.54% (71/83; 95% CI, 76.68-100.00), respectively. Besides, the SVA prevalence in piglet herds was the highest at 71.69% (119/166; 95% CI, 68.61-98.43) (p < 0.05). Moreover, our analysis confirmed that the subgroups, including country, sampling year, sampling position, detected gene, detection method, season, age, and climate, could be the heterogeneous factors associated with SVA prevalence. Conclusions: The results indicated that SVA widely exists in various countries currently. Therefore, more prevention and control policies should be proposed to enhance the management of pig farms and improve breeding conditions and the environment to reduce the spread of SVA.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.409-418
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• 2021

Conformal coating is a technology that protects PCB(Printed Circuit Board) and minimizes PCB failures. Since the defects in the coating are linked to failure of the PCB, the coating surface is examined for air bubbles to satisfy the successful conditions of the conformal coating. In this paper, we propose an algorithm for detecting problematic bubbles in high-risk groups by applying image signal processing. The algorithm consists of finding candidates for problematic bubbles and verifying candidates. Bubbles do not appear in visible light images, but can be visually distinguished from UV(Ultra Violet) light sources. In particular the center of the problematic bubble is dark in brightness and the border is high in brightness. In the paper, these brightness characteristics are called valley and mountain features, and the areas where both characteristics appear at the same time are candidates for problematic bubbles. However, it is necessary to verify candidates because there may be candidates who are not bubbles. In the candidate verification phase, we used convolutional neural network models, and ResNet performed best compared to other models. The algorithms presented in this paper showed the performance of precision 0.805, recall 0.763, and f1-score 0.767, and these results show sufficient potential for bubble test automation.