This issue of Primary Care: Clinics in Office Practice, guest edited by Drs. Deborah Clements and Melinda Ring, is devoted to Integrative Medicine. Articles in this issue include: Introduction to Integrative Medicine; Phytotherapy; Lifestyle Medicine; Chronic Pain; GI Disorders; Mental Health; Endocrine Disorders; Oncology and Survivorship; Pediatrics; Cardiovascular Disorders; Women’s Health; Men's Health; and Ethical and Legal Considerations.
This book provides, for the very first time, a critical edition and an English translation (accompanied by critical notes and technical analyses) of the chapter on spheres (golādhyāya) from Nityānanda’s Sarvasiddhāntarāja, a Sanskrit astronomical text written in seventeenth-century Mughal India. Readers will learn how terrestrial and celestial phenomena were understood by early modern Sanskrit astronomers using spherical geometry. The technical discussions in this book, supported by the critically edited Sanskrit text and geometric diagrams, offer an opportunity for historians of the astral sciences to understand developments in astronomy in seventeenth-century Mughal India from a more nuanced perspective. These are supplemented through explorations of modernity, mathematics, and mythology and how they thrived within Sanskrit astronomical discourse at the courts of the Mughal emperors. This book will be of interest to historians and philosophers of science, in particular those interested in the history of non-Western astral sciences. The book will be a valuable resource for scholars studying the general history of Sanskrit astronomy in the Indian subcontinent as well as those interested in the technical aspects of Sanskrit and Indo-Persian astronomy in Mughal India.
The Trial of Palande is part of the "Yes Sir, I Killed My Dad" Trilogy. Now, the story moves to the trial stage of the Arun Tikku Murder case as Anuj Tikku reaches Mumbai to give his testimony as the key witness in the case and finally stands in the witness box. Armed with his truth, he is facilitated by Inspector Srikant Tawde, Gitesh Kadam, and Public Prosecutor Ujjwal Nigam. But the game of chess has just begun as he has to face his nemesis and the murderer of his father in court. The accused, Vijay Palande, Dharanjay Shinde, Manoj Gajkosh, and Simran Sood, await him along with their respective lawyers. Twenty-five witnesses have already given their testimony in the case, and now it is Anuj Tikku's turn to give his version of the events that led to the slaughter of his beloved father. Hang on to your seat belts, folks; this is the beginning of a rip-roaring courtroom drama.
The separate state of Jharkhand was a dream of all. A layout had been made of how it would be. How did this come about? Who made the sacrifices? Where were the people tortured? How many lost their lives? The reason for this book to be written was to document the sacrifices of these people who created Jharkhand. It is a tribute to keep alive their memory and contribution. The book deals with stories of these unsung heroes in six sections. The first highlights the tragedy of those killed by the police. Also those who were caught in cross-firing. The second section comprises stories of revolutionaries who became victims of the mafia and thugs. The third section throws light on the role played by the non-tribal revolutionaries. In the fourth section, the stories are dedicated to the role of women in the Jharkhand Movement. The fifth section discusses about the Role of All Jharkhand Student Union (AJSU). The sixth section brings forth the plight of those who died due to lack of treatment, of natural causes or in accidents. They, however, played a major role in the Movement. It also mentions those who are living and carrying on the good work.
Yes, sir, I killed my Dad! Is a father and son story and how a son loses his father to a spree of gruesome murders that shook Mumbai over a period of two months? This back to back murder spree by a serial killer called Vijay Palande has been chronicled in this book. This is the story of the only survivor of that killing spree, who lives to tell the tale of the brutal murder of his own father. The elations and trauma that he went through and how the entire gory episode unfolded in-front of his very eye, as he was numbed by drugs and alcohol. It’s a tale of deceit and deception, of how greed consumes man to do the most heinous things to other men. How young people can go to any length to full fill their dreams. The story is full of twists and turns. It is also story that highlights the alertness and efficacy of the Mumbai Police and how they managed to solve a complex case as the Tikku Murder.
3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further. The book covers face acquisition through 3D scanners and 3D face pre-processing, before examining the three main approaches for 3D facial surface analysis and recognition: facial curves; facial surface features; and 3D morphable models. Whilst the focus of these chapters is fundamentals and methodologies, the algorithms provided are tested on facial biometric data, thereby continually showing how the methods can be applied. Key features: • Explores the underlying mathematics and will apply these mathematical techniques to 3D face analysis and recognition • Provides coverage of a wide range of applications including biometrics, forensic applications, facial expression analysis, and model fitting to 2D images • Contains numerous exercises and algorithms throughout the book
Wireless sensor networks (WSNs) have attracted high interest over the last few decades in the wireless and mobile computing research community. Applications of WSNs are numerous and growing, including indoor deployment scenarios in the home and office to outdoor deployment in an adversary’s territory in a tactical background. However, due to their distributed nature and deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their performance. This problem is more critical if the network is deployed for some mission-critical applications, such as in a tactical battlefield. Random failure of nodes is also very likely in real-life deployment scenarios. Due to resource constraints in the sensor nodes, a traditional security mechanism with high overhead of computation and communication is not feasible in WSNs. Design and implementation of secure WSNs is, therefore, a particularly challenging task. This book covers a comprehensive discussion on state-of-the-art security technologies for WSNs. It identifies various possible attacks at different layers of the communication protocol stack in a typical WSN and presents their possible countermeasures. A brief discussion on the future direction of research in WSN security is also included.
Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed topology, say objects that are diffeomorphic to unit spheres, and develop tools for analyzing their geometries. The main challenges in this problem are to register points across objects and to perform analysis while being invariant to certain shape-preserving transformations. We develop a comprehensive framework for analyzing shapes of spherical objects, i.e., objects that are embeddings of a unit sphere in ℝ, including tools for: quantifying shape differences, optimally deforming shapes into each other, summarizing shape samples, extracting principal modes of shape variability, and modeling shape variability associated with populations. An important strength of this framework is that it is elastic: it performs alignment, registration, and comparison in a single unified framework, while being invariant to shape-preserving transformations. The approach is essentially Riemannian in the following sense. We specify natural mathematical representations of surfaces of interest, and impose Riemannian metrics that are invariant to the actions of the shape-preserving transformations. In particular, they are invariant to reparameterizations of surfaces. While these metrics are too complicated to allow broad usage in practical applications, we introduce a novel representation, termed square-root normal fields (SRNFs), that transform a particular invariant elastic metric into the standard L2 metric. As a result, one can use standard techniques from functional data analysis for registering, comparing, and summarizing shapes. Specifically, this results in: pairwise registration of surfaces; computation of geodesic paths encoding optimal deformations; computation of Karcher means and covariances under the shape metric; tangent Principal Component Analysis (PCA) and extraction of dominant modes of variability; and finally, modeling of shape variability using wrapped normal densities. These ideas are demonstrated using two case studies: the analysis of surfaces denoting human bodies in terms of shape and pose variability; and the clustering and classification of the shapes of subcortical brain structures for use in medical diagnosis. This book develops these ideas without assuming advanced knowledge in differential geometry and statistics. We summarize some basic tools from differential geometry in the appendices, and introduce additional concepts and terminology as needed in the individual chapters.
Here are the stories to make you wonder about the creator. These words will question you and make you strive for the answers. It will no longer let you live ignorantly. These stories will give a kick to your consciousness to wake up. Living unconsciously is living like an animal. We are humans; we have capability to meet God. Actually, we have capability to become God. Here is the road, walk on it. These stories are not stories of people; these are stories of lives, stories of soul and hearts. These are neither science nor religion, only pure Alchemy. Here are stories from the writer who made his readers fall in love with life.
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges. Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves—in one, two, and higher dimensions—both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.
Plasmonics stems from the surface charge density oscillations at metal–dielectric interface, leading to extremely strong light–matter interactions. In the past few decades, plasmonics has become one of the most favorite fields/techniques in realizing high-performance photonic devices. For this purpose, different new concepts, such as exploration of different radiation frequency regions, two-dimensional materials/heterostructures, and different types of substrates for the excitation of plasmons have been investigated for plasmonics-based sensors and detectors. This book focuses on the recent and advanced works on optical sensors and detectors utilizing plasmonic techniques for opto-electronic applications. The book is unique as it describes both sensors and detectors based on plasmonics and their practical applications in a single book, a feature not found in any book so far.
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