http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : B.S. Giri (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
s -wave scattering lengths for the Be7+p system from an R -matrix analysis
Paneru, S. N.,Brune, C. R.,Giri, R.,Livesay, R. J.,Greife, U.,Blackmon, J. C.,Bardayan, D. W.,Chipps, K. A.,Davids, B.,Connolly, D. S.,Chae, K. Y.,Champagne, A. E.,Deibel, C.,Jones, K. L.,Johnson, M. American Physical Society 2019 Physical Review C Vol.99 No.4
-
miRTarVis+: Web-based interactive visual analytics tool for microRNA target predictions
L'Yi, S.,Jung, D.,Oh, M.,Kim, B.,Freishtat, R.J.,Giri, M.,Hoffman, E.,Seo, J. Academic Press 2017 Methods Vol.124 No.-
<P>In this paper, we present miRTarVis+, a Web-based interactive visual analytics tool for miRNA target predictions and integrative analyses of multiple prediction results. Various microRNA (miRNA) target prediction algorithms have been developed to improve sequence-based miRNA target prediction by exploiting miRNA-mRNA expression profile data. There are also a few analytics tools to help researchers predict targets of miRNAs. However, there still is a need for improving the performance for miRNA prediction algorithms and more importantly for interactive visualization tools for an integrative analysis of multiple prediction results. miRTarVis+ has an intuitive interface to support the analysis pipeline of load, filter, predict, and visualize. It can predict targets of miRNA by adopting Bayesian inference and maximal information-based nonparametric exploration (MINE) analyses as well as conventional correlation and mutual information analyses. miRTarVis+ supports an integrative analysis of multiple prediction results by providing an overview of multiple prediction results and then allowing users to examine a selected miRNA-mRNA network in an interactive treemap and node-link diagram. To evaluate the effectiveness of miRTarVis+, we conducted two case studies using miRNA-mRNA expression profile data of asthma and breast cancer patients and demonstrated that miRTarVis+ helps users more comprehensively analyze targets of miRNA from miRNA-mRNA expression profile data. miRTarVis+ is available at http://hcil.snu.ac.kr/research/mirtarvisplus. (C) 2017 Elsevier Inc. All rights reserved.</P>
-
Seasonal PM<sub>10</sub> dynamics in Kathmandu Valley
Aryal, R.K.,Lee, B.K.,Karki, R.,Gurung, A.,Kandasamy, J.,Pathak, B.K.,Sharma, S.,Giri, N. Pergamon Press ; Elsevier [distribution] 2008 Atmospheric environment Vol.42 No.37
Data on ambient PM<SUB>10</SUB> levels from six locations in the Kathmandu Valley recorded by means of continuous sampling using low volume air samplers from October 2002 to March 2007 were used to investigate PM<SUB>10</SUB> concentration dynamics in the valley. Monthly average data of the urban areas, which have much higher concentrations than the rural areas, even exceeded the daily standard level of PM<SUB>10</SUB>, in Nepal, 120μmm<SUP>-3</SUP>. Repetitive peaks and troughs each year indicated annual patterns. Monthly average showed seasonal patterns are different between rural area and urban sites. The highest monthly average concentration was observed in February, the end of winter in urban areas where as in rural found in spring, and the lowest concentration was observed in July (monsoon period). The continuous increase in PM<SUB>10</SUB> concentration from December to February in urban areas showed accumulation of PM<SUB>10</SUB> in the ambient air during the wintertime. Rainfall in June and September, during the monsoon period, caused a PM<SUB>10</SUB> concentration decrease, demonstrating that precipitation is effective in removing PM<SUB>10</SUB> from the valley. Cross correlation analyses among the PM<SUB>10</SUB> levels measured simultaneously at the sampling stations showed a poor relationship in winter; however, there were good relationships in the monsoon and post-monsoon seasons. Both the PM<SUB>10</SUB> concentration and the air-mixing environment in the valley were closely associated with the temperature and wind speed.
-
Bio-filters for the Treatment of VOCs and Odors - A Review
Kumar Vikrant,김기현,Jan Edward Szulejko,Sudhir Kumar Pandey,R.S. Singh,B.S. Giri,Richard J. C. Brown,이상훈 한국대기환경학회 2017 Asian Journal of Atmospheric Environment (AJAE) Vol.11 No.3
Excessive amounts of volatile organic compounds (VOCs) and odorants discharged into the environment are highly dangerous to human health as well as to ecological systems. Biological treatments of waste gas streams, called biofiltration, containing VOCs and odorous compounds has gained much attention because biofilters are more cost effective and environmentally friendly than conventional air pollution control technologies. This review provides an overview of biotrickling filtration, which is a type of biofiltration including continuous trickled-water flow inside filter media, for VOC and odor abatement. The configuration, design, cost effectiveness, removal capacity and environmental impact of this techniques and the future research and development needs in this area are all considered.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
