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ppGpp: Stringent Response and Survival
Dipankar Chatterji,Vikas Jain,Manish Kumar 한국미생물학회 2006 The journal of microbiology Vol.44 No.1
Adaptation to any undesirable change in the environment dictates the survivability of many microorganisms, with such changes generating a quick and suitable response, which guides the physiology of bacteria. During nutritional deprivation, bacteria show a stringent response, as characterized by the accumulation of (p)ppGpp, resulting in the repression of stable RNA species, such as rRNA and tRNA, with a concomitant change in colony morphology. However, genes involved in amino acid biosynthesis become over-expressed to help bacteria survive under such conditions. The survivability of pathogenic bacteria inside a host cell also depends upon the stringent response demonstrated. Therefore, an understanding of the physiology of stringent conditions becomes very interesting in regulation of the growth and persistence of such invading pathogens.
QUASI-CONFORMAL CURVATURE TENSOR ON N (k)-QUASI EINSTEIN MANIFOLDS
Dipankar Hazra,Avijit Sarkar 강원경기수학회 2021 한국수학논문집 Vol.29 No.4
This paper deals with the study of N (k)-quasi Einstein manifolds that satisfies the certain curvature conditions *· * = 0, · * = 0 and R ⋅ C ∗ = f ~ Q ( g , C ∗ ) , where *, and denotes the quasi-conformal curvature tensor, Ricci tensor and the curvature tensor respectively. Finally, we construct an example of N (k)-quasi Einstein manifold.
Multiple Object Detection and Localization using Range and Color Images for Service Robots
Dipankar Das,Yoshinori Kobayashi,Yoshinori Kuno 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In real-world applications, service robots need to locate and identify objects in ascene. A range sensor provides a robust estimate of depth information, which is useful to accurately locate objects in a scene. On the other hand, color information is an important property for object recognition task. The objective of this paper is to detect and localize multiple objects with in an image using both range and color features. The proposed method uses 3D shape features to generate promising hypotheses with in range images and verifies these hypotheses by using features obtaned from both range and color images.
Performance of honed Surface profiles to Artificial Hip Joints: An Experimental Investigation
Dipankar Choudhury,Robert Walker,Taposh Roy,Sweety Paul,Rajshree Mootanah 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.
Surface texture technique increases the tribological capability and performance of bearing surfaces. This technology has a number of applications, including car engines and golf balls. However, the use of texture surface in artificial hip joints has not been adequately explored. The aim of the study is to investigate the effects of plateau honed surfaces on the tribological performance of metal-on-metal hip joints. Four sets of different plateau honed surfaces and a set of non-textured surface were investigated on a friction simulator with a lubricant having similar viscosity of pseudo-synovial fluid. The results showed 50% and 38% reductions in static and dynamic friction coefficient, respectively, for a honed surface (honed surface 3) compared with those of a non-textured surface after 1 million cycles. There was a number of wear signs, including adhesive and fatigue wear in all of the experimental surfaces. Nevertheless, the wear signs in the honed surface 3 were minor. Lubrication film thickness was thicker, and third body abrasive wear assumed to reduce in the honed surface since wear debris removed through honed channel. Therefore, the performance of a well-designed plateau-honed surface is significant in tribological aspects of metal-on-metal hip joints.