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Amit Singh

Bio: Amit Singh is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 57, co-authored 640 publications receiving 13795 citations. Previous affiliations of Amit Singh include Ithaca College & Center for Infectious Disease Research and Policy.


Papers
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Journal Article
TL;DR: The proposed double beam UV-Visible spectrophotometer method can be successfully used for analysis of Levofloxacin in marketed preparations (Livaquin) and the results of analysis have been validated statistically and by recovery studies.
Abstract: All immediate release tablets are subjected to dissolution studies in 0.1 N HCl as recommended by SUPAC-IR guidelines or in specified dissolution medium as per their official monograph a simple, selective, rapid, and precise double beam UV-Visible spectrophotometer method has been developed and validated for the estimation of Levofloxacin in pharmaceutical dosage form. Levofloxacin is an antibiotic for treating bacterial infections. Many common infections in humans are caused by bacteria. Bacteria can grow and multiply, infecting different parts of the body. Drugs that control and eradicate these bacteria are called antibiotics. Levofloxacin is an antibiotic that stops multiplication of bacteria by preventing the reproduction and repair of their genetic material, DNA. It is in a class of antibiotics called fluoroquinolones. The standard solution of Levofloxacin in 0.1 N HCl showed maximum absorption at 293 nm. Beer-Lambert’s law obeyed in the concentration range of 2-12 μg/ml, with regression, slope and intercept 0.9997, 0.058 and 0.086 respectively. The percentage recovery is between 100±2 which reflect that the method is free from interference of the impurities and other additives during the estimation of drug in formulation. The proposed method can be successfully used for analysis of Levofloxacin in marketed preparations (Livaquin). The results of analysis have been validated statistically and by recovery studies.

2 citations

Patent
12 Oct 2017
TL;DR: An amorphous form of betrixaban maleate and process for the preparation of the same are described in this paper, and a solid dispersion of amorphously-amplified maleate with pharmaceutically acceptable excipients and processes for the same were also disclosed.
Abstract: An amorphous form of betrixaban maleate and process for the preparation of the same are disclosed. A solid dispersion of amorphous betrixaban maleate with pharmaceutically acceptable excipients and processes for the preparation of the same are also disclosed. Betrixaban base polymorphic forms and processes for preparing the same are also disclosed.

2 citations

Journal ArticleDOI
TL;DR: A novel metaheuristic algorithm, named particle swarm-like normal optimization algorithm (PSNO) to design the Symmetric-Key primitives of SKINNY, and the results show that the search efficiency is significantly improved and one or better algorithm components can be obtained more quickly.
Abstract: With the construction and improvement of 5G infrastructure, more devices choose to access the Internet to achieve some functions. People are paying more attention to information security in the use of network devices. This makes lightweight block ciphers become a hotspot. A lightweight block cipher with superior performance can ensure the security of information while reducing the consumption of device resources. Traditional optimization tools, such as brute force or random search, are often used to solve the design of Symmetric-Key primitives. The metaheuristic algorithm was first used to solve the design of Symmetric-Key primitives of SKINNY. The genetic algorithm and the simulated annealing algorithm are used to increase the number of active S-boxes in SKINNY, thus improving the security of SKINNY. Based on this, to improve search efficiency and optimize search results, we design a novel metaheuristic algorithm, named particle swarm-like normal optimization algorithm (PSNO) to design the Symmetric-Key primitives of SKINNY. With our algorithm, one or better algorithm components can be obtained more quickly. The results in the experiments show that our search results are better than those of the genetic algorithm and the simulated annealing algorithm. The search efficiency is significantly improved. The algorithm we proposed can be generalized to the design of Symmetric-Key primitives of other lightweight block ciphers with clear evaluation indicators, where the corresponding indicators can be used as the objective functions.

2 citations

Journal ArticleDOI
TL;DR: The aim of this study is to present classification of various localization algorithms and to compare them to find the position of the node with respect to range based, anchor based and distributed localization techniques for harsh environments.
Abstract: In Wireless Sensor Networks, Localization is the most dynamic field for research. The data extracted from the sensor nodes that carries physical location information is very much helpful in WSNs as it is useful in major applications such as for the purpose of monitoring of any environment, tracking and for the detection purpose. Localization is known as the estimation of unknown node locations and its positions by communicating through localized nodes as well as unlocalized nodes. The aim of this study is to present classification of various localization algorithms and to compare them. The prime consideration is to know that how localization affects the network lifetime and how these algorithms work for increasing the lifetime of a network in a severe. This paper also aims for finding the position of the node with respect to range based, anchor based and distributed localization techniques for harsh environments. Additionally, this paper also features the concern that occurs with these localization techniques. The technique that gives highly accurate location coordinates and having less hardware cost is distributed RSSI based localization algorithm.

2 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Journal ArticleDOI
TL;DR: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors.
Abstract: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors. While the organization of the book is similar to previous editions, major emphasis has been placed on disorders that affect multiple organ systems. Important advances in genetics, immunology, and oncology are emphasized. Many chapters of the book have been rewritten and describe major advances in internal medicine. Subjects that received only a paragraph or two of attention in previous editions are now covered in entire chapters. Among the chapters that have been extensively revised are the chapters on infections in the compromised host, on skin rashes in infections, on many of the viral infections, including cytomegalovirus and Epstein-Barr virus, on sexually transmitted diseases, on diabetes mellitus, on disorders of bone and mineral metabolism, and on lymphadenopathy and splenomegaly. The major revisions in these chapters and many

6,968 citations

Journal ArticleDOI
TL;DR: A comprehensive review of current research activities that center on the shape-controlled synthesis of metal nanocrystals, including a brief introduction to nucleation and growth within the context of metal Nanocrystal synthesis, followed by a discussion of the possible shapes that aMetal nanocrystal might take under different conditions.
Abstract: Nanocrystals are fundamental to modern science and technology. Mastery over the shape of a nanocrystal enables control of its properties and enhancement of its usefulness for a given application. Our aim is to present a comprehensive review of current research activities that center on the shape-controlled synthesis of metal nanocrystals. We begin with a brief introduction to nucleation and growth within the context of metal nanocrystal synthesis, followed by a discussion of the possible shapes that a metal nanocrystal might take under different conditions. We then focus on a variety of experimental parameters that have been explored to manipulate the nucleation and growth of metal nanocrystals in solution-phase syntheses in an effort to generate specific shapes. We then elaborate on these approaches by selecting examples in which there is already reasonable understanding for the observed shape control or at least the protocols have proven to be reproducible and controllable. Finally, we highlight a number of applications that have been enabled and/or enhanced by the shape-controlled synthesis of metal nanocrystals. We conclude this article with personal perspectives on the directions toward which future research in this field might take.

4,927 citations