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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 ArticleDOI
TL;DR: This article presents Range based primary user localization technique to find out the location of PUs along with their transmit power, which relies on the information collected from only two SUs to carry out the localization process unlike the existing techniques.

10 citations

Journal ArticleDOI
TL;DR: An improved optimization algorithm named grouping-based many-objective evolutionary algorithm (GMEA) is proposed, and the experimental results demonstrate that GMEA performs better than the other methods in both visualization results and hypervolume (HV) indicators.
Abstract: Mobile Edge Computing (MEC) and fog computing are the key technologies in fifth generation (5 G) networks. In an MEC system, the data of terminal devices can be processed at the edge nodes also known as fog nodes, which can reduce the data transmission from the terminal devices to the cloud, thus reducing the latency and pressure of network traffic. Due to the huge amount of users’ data, a large number of edge nodes need to be deployed. Therefore, we study how to optimally deploy the edge devices on 5G-based small cells (SC) networks based on many-objective evolutionary algorithm (MaOEA). Our goal is to optimize the deployment of edge devices to maximize service quality and reliability, while minimizing cost and energy consumption. This is an NP-hard problem with many objectives. To solve this problem, we propose an improved optimization algorithm named grouping-based many-objective evolutionary algorithm (GMEA). We also compare the performance of GMEA with the state-of-the-art algorithms, and the experimental results demonstrate that GMEA performs better than the other methods in both visualization results and hypervolume (HV) indicators.

10 citations

Journal ArticleDOI
TL;DR: When proper care is taken during surgery for TMJ ankylosis, permanent facial nerve injury is rare, however, the incidence and degree of temporary nerve injury could be either due to the heavy retraction causing compression and or stretching of nerve fiber resulting in neuropraxia.
Abstract: Objective: The purpose of this prospective study was to evaluate the incidence and degree of facial nerve damage and time taken for its recovery following surgery for temporomandibular joint (TMJ) ankylosis. Materials and Methods: A total of 30 subjects with the TMJ ankylosis with or without history of previous surgery were included in this prospective study. House-Brackmann grading system was used to assess the function of the facial nerve post-operatively. Results: Most of the subjects were in the age range of 13-15 years. Eight subjects had bilateral ankylosis and remaining 22 had unilateral ankylosis. Out of 32 joints in which gap arthroplasty was performed, 4 had Grade 1 injury, 14 had Grade 2 injury, 12 had Grade 3, and 2 with the Grade 4 injury 24 h post-operatively. Whereas, out of 6 cases of interpositional arthroplasty 4 had Grade 1 injury and 2 had Grade 4 injury. According to House-Brackmann grading system, at 24 h, 78.9% patients had different grades of facial nerve injury, which gradually improved and came to normal limits within 1-3 months post-operatively. Comparison of change in the Grade of injury at 3 months follow-up as compared to baseline (24 h) showed full recovery in all the cases (100%) showing a statistically significant difference from baseline (P Conclusion: When proper care is taken during surgery for TMJ ankylosis, permanent facial nerve injury is rare. However, the incidence and degree of temporary nerve injury could be either due to the heavy retraction causing compression and or stretching of nerve fiber resulting in neuropraxia.

10 citations

Journal Article
TL;DR: Observations indicate that multivitamin and micronutrient supplementation improve the qualitative and quantitative parameters of seminogram in patients with azoospermia of maturation arrest.
Abstract: The study was undertaken to evaluate the efficacy of multivitamin and micronutrient supplementation in azoospermic patients with maturation arrest. A total of 35 azoospermic patients showing maturation arrest on testicular biopsy were recruited in this study. The patients were divided into two groups. Untreated group (n=11) without any treatment and treated group (n=24) who received multivitamins, micronutrients and co-enzyme Q10. The sperm concentration, motility and morphology were evaluated at monthly interval. The results showed reduction in liquefaction time and relative viscosity of the semen in the treated group. Further, in treated group there was appearance of spermatozoa (4.0 million/ml) exhibiting progressive motility (7%) and normal morphology (6%), even in the first follow up visit. The sperm count, motility and normal morphology increased significantly on subsequent visits. Within 3 months (3 visits) 2 pregnancies were reported. These observations indicate that multivitamin and micronutrient supplementation improve the qualitative and quantitative parameters of seminogram in patients with azoospermia of maturation arrest.

10 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