Central University of Rajasthan is an educational institution in Rajasthan, India. The Central University of Rajasthan was established by an Act of Parliament as a new Central University, and is fully funded by the Government of India.The Central Universities Bill 2009 aims at creating one new central university each in Bihar, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Jharkhand, Karnataka, Kerala, Orissa, Punjab, Rajasthan and Tamil Nadu. It also seeks to convert Guru Ghasidas Vishwavidyalaya in Chhattisgarh, Harisingh Gour Vishwavidyalaya in Sagar and Hemwati Nandan Bahuguna Garhwal University in Uttarakhand into Central universities. Wikipedia.
Mandal C.C.,Central University of Rajasthan
Frontiers in Endocrinology | Year: 2015
Many epidemiological studies show a positive connection between cardiovascular diseases and risk of osteoporosis, suggesting a role of hyperlipidemia and/or hypercholesterolemia in regulating osteoporosis. The majority of the studies indicated a correlation between high cholesterol and high LDL-cholesterol level with low bone mineral density, a strong predictor of osteoporosis. Similarly, bone metastasis is a serious complication of cancer for patients. Several epidemiological and basic studies have established that high cholesterol is associated with increased cancer risk. Moreover, osteoporotic bone environment predisposes the cancer cells for metastatic growth in the bone microenvironment. This review focuses on how cholesterol and cholesterol-lowering drugs (statins) regulate the functions of bone residential osteoblast and osteoclast cells to augment or to prevent bone deterioration. Moreover, this study provides an insight into molecular mechanisms of cholesterol-mediated bone deterioration. It also proposes a potential mechanism by which cellular cholesterol boosts cancer-induced bone metastasis. © 2015 Mandal.
Prajapat J.K.,Central University of Rajasthan
Mathematical and Computer Modelling | Year: 2012
We obtain subordination and superordination preserving properties for a new generalized multiplier transformation operator, defined for multivalent functions in the open unit disk. A differential sandwich-type theorem for these multivalent functions, and some consequences are also presented. © 2011 Elsevier Ltd.
Prajapat J.K.,Central University of Rajasthan |
Aouf M.K.,Mansoura University
Computers and Mathematics with Applications | Year: 2012
In this paper we investigate a majorization problem for a subclass of p-valently analytic function involving a generalized fractional differintegral operator. Some useful consequences of the main result are mentioned and relevance with some of the earlier results are also pointed out. © 2011 Elsevier Ltd. All rights reserved.
Pareek N.,Umea University |
Pareek N.,Central University of Rajasthan |
Gillgren T.,Umea University |
Jonsson L.J.,Umea University
Bioresource Technology | Year: 2013
Protein adsorption onto eight lignocellulosic substances (six lignin preparations and two hemicelluloses) was investigated at pH 4.8 and at two different temperatures (4. °C and 45. °C). The kinetics of the adsorption of cellulase, xylanase, and β-glucosidase were determined by enzyme activity measurements. The maximum adsorption capacities, the affinity constants and the binding strengths varied widely and were typically higher for the lignins than for the carbohydrates. As indicated by BET and gel permeation chromatography, different substances had widely different surface area, pore size, weight average molecular weight, and polydispersity index, but these properties were difficult to relate to protein binding. In most cases, an increase in temperature from 4. °C to 45. °C and a low content of carboxylic acid groups, as indicated by Fourier-Transform Infra-Red (FTIR) spectroscopy, resulted in increased protein adsorption capacity, which suggests that hydrophobic interactions play an important role. © 2013 The Authors.
Mini S.,Central University of Rajasthan |
Udgata S.K.,University of Hyderabad |
Sabat S.L.,University of Hyderabad
IEEE Sensors Journal | Year: 2014
Network lifetime plays an integral role in setting up an efficient wireless sensor network. The objective of this paper is twofold. The first one is to deploy sensor nodes at optimal locations such that the theoretically computed network lifetime is maximum. The second is to schedule these sensor nodes such that the network attains the maximum lifetime. Thus, the overall objective of this paper is to identify optimal deployment locations of the given sensor nodes with a pre-specified sensing range, and to schedule them such that the network lifetime is maximum with the required coverage level. Since the upper bound of the network lifetime for a given network can be computed mathematically, we use this knowledge to compute locations of deployment such that the network lifetime is maximum. Further, the nodes are scheduled to achieve this upper bound. In this paper, we use artificial bee colony algorithm and particle swarm optimization for sensor deployment problem followed by a heuristic for scheduling. A comparative study shows that artificial bee colony algorithm performs better for sensor deployment problem. The proposed heuristic was able to achieve the theoretical upper bound in all the experimented cases. © 2013 IEEE.