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Search Results: 1 - 10 of 73 matches for " Mujeeeb Rohilla "
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Musculoskeletal Manifestations of Atypical Mycobacterium: Case Reports  [PDF]
Mujeeeb Rohilla, Khalid Khan, Husnain Raza
Surgical Science (SS) , 2014, DOI: 10.4236/ss.2014.51006
Abstract:

Musculoskeletal manifestations of atypical Mycobacterium are very rare and they can be easily missed by the junior doctors. We are presenting two cases of atypical Mycobacterium: the first one was infected by cleaning a fish tank and the other was immune-compromised patients. Both the cases were treated with broad spectrum antiboitics initially, with no results, unless the specimen cultures were obtained surgically and the specific cultures were asked. The treatment was started after obtaining the culture results. Both the patients were started on antituberculous treatment for 3 -

Simultaneous Determination of Cobalt (II) and Nickel (II) By First Order Derivative Spectrophotometry in Micellar Media
Rajni Rohilla,Usha Gupta
Journal of Chemistry , 2012, DOI: 10.1155/2012/739891
Abstract: A first-derivative spectrophotometry method for the simultaneous determination of Co (II) and Ni (II) with Alizarin Red S in presence of Triton X-100 is described. Measurements were made at the zero-crossing wavelengths at 549.0 nm for Co (II) and 546.0 nm for Ni (II). The linearity is obtained in the range of 0.291- 4.676 μg/ml of Ni (II) and 0.293- 4.124 μg/ml of Co (II) in the presence of each other by using first derivative spectrophotometric method. The possible interfering effects of various ions were studied. The validity of the method was examined by using synthetic mixtures of Co (II) and Ni (II). The developed derivative procedure, using the zero crossing technique, has been successfully applied for the simultaneous analysis of Co (II) and Ni (II) in spiked water samples.
Experimental investigation of Tool Geometry on Mechanical Properties of Friction Stir Welding of AA6061
Puneet Rohilla,Narinder Kumar
International Journal of Innovative Technology and Exploring Engineering , 2013,
Abstract: AA 6061 has gathered wide acceptance in the fabrication of the light structures required to high strength. Compared to the fusion welding processes that are used for joining structural aluminium alloys, friction stir welding (FSW) process is an emerging solid state joining process in which the material that is being welded does not melt and recast. In this experimental work, an extensive investigation has been carried out on FSW butt joint. Welded joints were made with the help of tool made of high speed steel (HSS) alloy steel. Tools were of two different pin profiles viz. straight cylindrical, and square. The welded joints were made on aluminum grade AA 6061 plates of 6 mm thick. Tests were conducted to determine the tensile strength, percentage elongation and micro hardness. In my investigation, tool rotation and traverse speeds are kept constant i.e. 2000 rpm and 20 mm/min. The variables are shape of the tool and having passes one sided and both sided. Cylindrical tool pin profile exhibited superior tensile properties compared to other joints, irrespective of tool rotational speed in double pass. The joints fabricated by single pass have shown lower tensile strength and also percentage of elongation compared to the joints fabricated by double pass and this trend is common for all the tool profiles.
Adverse drug reactions: An Overview
Ankur Rohilla,Singhraj Yadav
International Journal of Pharmacological Research , 2013, DOI: 10.7439/ijpr.v3i1.41
Abstract: Adverse drug reactions (ADR’s) are defined the effects created by drugs producing unintended or noxious response. Also, an ADR is a response to a medicine which is noxious and unintended, and which occurs at doses normally used in man for the prophylaxis, diagnosis, or therapy of disease or for the modification of a physiological function. The evaluation of ADRs adapts various factors that can predispose patients to adverse reactions. The types of adverse reaction can be studies in two main headings, i.e., more common ADRs including type A and B reactions; and less common ADRs which include type C, D and E reactions. The present review article explains about the various types and mechanisms of adverse reactions.
A comparative study of wireless mesh and adhoc network : A Cross layer design approach
Yashpal Rohilla,Preeti Gulia
International Journal on Computer Science and Engineering , 2012,
Abstract: Due to Wi-Fi marketing 802.11 becomes a universal solution for wireless connectivity. A wireless network is that in which the performance of a network depends on the layering structure of protocol. A wireless network is many types like Ad-hoc, cellular and mesh network. A mesh is used to optimize performance in better way as compare to traditional approach . A network can be optimized usingdifferent –2 ways. Physical and mac layer are used for implementation. Physical layer consist of communication channel like TDMA, CDMA, OFDM, MIMO-OFDM etc each layer is designed independently and contain full transparency. A comparative study shows the best way of current technology in wireless network. Many algorithm are designed for QoS (Quality of services) in the wireless network. In this paper we compare ad-hoc and mesh network to show the pros & cons and their functionality on the basis of cross layer design approach.
Maximum Likelihood Estimation for q-Exponential (Tsallis) Distributions
Cosma Rohilla Shalizi
Physics , 2007,
Abstract: This expository note describes how to apply the method of maximum likelihood to estimate the parameters of the ``$q$-exponential'' distributions introduced by Tsallis and collaborators. It also describes the relationship of these distributions to the classical Pareto distributions.
The Backwards Arrow of Time of the Coherently Bayesian Statistical Mechanic
Cosma Rohilla Shalizi
Physics , 2004,
Abstract: Many physicists think that the maximum entropy formalism is a straightforward application of Bayesian statistical ideas to statistical mechanics. Some even say that statistical mechanics is just the general Bayesian logic of inductive inference applied to large mechanical systems. This approach identifies thermodynamic entropy with the information-theoretic uncertainty of an (ideal) observer's subjective distribution over a system's microstates. In this brief note, I show that this postulate, plus the standard Bayesian procedure for updating probabilities, implies that the entropy of a classical system is monotonically non-increasing on the average -- the Bayesian statistical mechanic's arrow of time points backwards. Avoiding this unphysical conclusion requires rejecting the ordinary equations of motion, or practicing an incoherent form of statistical inference, or rejecting the identification of uncertainty and thermodynamic entropy.
Methods and Techniques of Complex Systems Science: An Overview
Cosma Rohilla Shalizi
Physics , 2003,
Abstract: In this chapter, I review the main methods and techniques of complex systems science. As a first step, I distinguish among the broad patterns which recur across complex systems, the topics complex systems science commonly studies, the tools employed, and the foundational science of complex systems. The focus of this chapter is overwhelmingly on the third heading, that of tools. These in turn divide, roughly, into tools for analyzing data, tools for constructing and evaluating models, and tools for measuring complexity. I discuss the principles of statistical learning and model selection; time series analysis; cellular automata; agent-based models; the evaluation of complex-systems models; information theory; and ways of measuring complexity. Throughout, I give only rough outlines of techniques, so that readers, confronted with new problems, will have a sense of which ones might be suitable, and which ones definitely are not.
Optimal Nonlinear Prediction of Random Fields on Networks
Cosma Rohilla Shalizi
Physics , 2003,
Abstract: It is increasingly common to encounter time-varying random fields on networks (metabolic networks, sensor arrays, distributed computing, etc.). This paper considers the problem of optimal, nonlinear prediction of these fields, showing from an information-theoretic perspective that it is formally identical to the problem of finding minimal local sufficient statistics. I derive general properties of these statistics, show that they can be composed into global predictors, and explore their recursive estimation properties. For the special case of discrete-valued fields, I describe a convergent algorithm to identify the local predictors from empirical data, with minimal prior information about the field, and no distributional assumptions.
Dynamics of Bayesian Updating with Dependent Data and Misspecified Models
Cosma Rohilla Shalizi
Mathematics , 2009, DOI: 10.1214/09-EJS485
Abstract: Much is now known about the consistency of Bayesian updating on infinite-dimensional parameter spaces with independent or Markovian data. Necessary conditions for consistency include the prior putting enough weight on the correct neighborhoods of the data-generating distribution; various sufficient conditions further restrict the prior in ways analogous to capacity control in frequentist nonparametrics. The asymptotics of Bayesian updating with mis-specified models or priors, or non-Markovian data, are far less well explored. Here I establish sufficient conditions for posterior convergence when all hypotheses are wrong, and the data have complex dependencies. The main dynamical assumption is the asymptotic equipartition (Shannon-McMillan-Breiman) property of information theory. This, along with Egorov's Theorem on uniform convergence, lets me build a sieve-like structure for the prior. The main statistical assumption, also a form of capacity control, concerns the compatibility of the prior and the data-generating process, controlling the fluctuations in the log-likelihood when averaged over the sieve-like sets. In addition to posterior convergence, I derive a kind of large deviations principle for the posterior measure, extending in some cases to rates of convergence, and discuss the advantages of predicting using a combination of models known to be wrong. An appendix sketches connections between these results and the replicator dynamics of evolutionary theory.
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