نتایج جستجو برای: dpm پروسیتی

تعداد نتایج: 1099  

Journal: :European journal of medicinal chemistry 2015
Soosung Kang Mizuki Watanabe J C Jacobs Masaya Yamaguchi Samira Dahesh Victor Nizet Thomas S Leyh Richard B Silverman

The mevalonate pathway is essential for the production of many important molecules in lipid biosynthesis. Inhibition of this pathway is the mechanism of statin cholesterol-lowering drugs, as well as the target of drugs to treat osteoporosis, to combat parasites, and to inhibit tumor cell growth. Unlike the human mevalonate pathway, the bacterial pathway appears to be regulated by diphosphomeval...

2015
K. Prasanna M. Seetha H. Mannila H. Toivonen

The running time of existing algorithms in Frequent Pattern Mining (FPM) increases exponentially with increasing average data size. The existing algorithms on high dimensional datasets create large number of frequent patterns of small and mid sizes which are ineffective for decision making and shows deficiency on mining process. To discover large patterns or Colossal Patterns Doubleton Pattern ...

Journal: :Microbiology 2014
Angel Andrade Miguel A Valvano

Burkholderia cenocepacia infects patients with cystic fibrosis. We have previously shown that B. cenocepacia can survive in macrophages within membrane vacuoles [B. cenocepacia-containing vacuoles (BcCVs)] that preclude fusion with the lysosome. The bacterial factors involved in B. cenocepacia intracellular survival are not fully elucidated. We report here that deletion of BCAM0628, encoding a ...

2015
Kyong-Hui Lee Hye-Jung Jung Dong-Uk Park Seung-Hun Ryu Boowook Kim Kwon-Chul Ha Seungwon Kim Gwangyong Yi Chungsik Yoon Alexander Larcombe

OBJECTIVE The purposes of this study were to determine the following: 1) the exposure levels of municipal household waste (MHW) workers to diesel particulate matter (DPM) using elemental carbon (EC), organic carbon (OC), total carbon (TC), black carbon (BC), and fine particulate matter (PM 2.5) as indicators; 2) the correlations among the indicators; 3) the optimal indicator for DPM; and 4) fac...

2010
Eileen Birch

In a previous study, the efficacy of commercial and prototype impactors for sampling diesel particulate matter (DPM) in coal mines was investigated. Laboratory and field samples were collected on quartz-fiber filters and analyzed for organic and elemental carbon. Coal dust contributed a minimal amount of elemental carbon when commercial cascade impactors and prototype impactors, designed by the...

Journal: :Journal of physics 2022

Abstract Diesel particulate matter (DPM) is an area of concern from environmental point view due to its functionality settle in the respiratory channels when inhaled, cause inflammation tract, accumulate carcinogenic compounds, and adversely reflected cardiovascular functions, thus causing excess mortality. DPM consists agglomeration a numerous unions preimages germ structures, spherical form t...

2009
Xi Alice Gao Yiling Chen David M. Pennock

We study the problem of designing prediction markets for random variables with continuous or countably infinite outcomes on the real line. Our interval betting languages allow traders to bet on any interval of their choice. Both the call market mechanism and two automated market maker mechanisms, logarithmic market scoring rule (LMSR) and dynamic parimutuel markets (DPM), are generalized to han...

2010
Stephen J. Lippard Justin J. Wilson Juliana Fedoce Lopes

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. RECEIVED DATE (to be automatically inserted after your manuscript is accepted if required according to the journal ...

Journal: :Water research 2016
Yongqiu Xia Donald E Weller Meghan N Williams Thomas E Jordan Xiaoyuan Yan

Export coefficient models (ECMs) are often used to predict nutrient sources and sinks in watersheds because ECMs can flexibly incorporate processes and have minimal data requirements. However, ECMs do not quantify uncertainties in model structure, parameters, or predictions; nor do they account for spatial and temporal variability in land characteristics, weather, and management practices. We a...

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