This insightful volume opens new horizons for exploring modern therapeutic entities and emerging targets for combating the deadly disease of cancer. The authors provide a review of cancer along with descriptions of its molecular level mechanisms and emphasize the role of promising new therapies, including herbal therapies, that can be utilized for the treatment of metastatic diseases. The chapters look at specific approaches that have been researched and developed and that have almost reached the standardization stage, such as intracellular mechanisms, particularly phosphoprotein-enriched astrocytes and transthyretin proteins; CXCR4; autophagy-inhibiting drugs; spatiotemporal genetic analysis; tyrosine kinase inhibitors; and more. Also considered are advances in diagnostic systems like intra vital microscopy and molecular imaging.

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more. Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. What You'll Learn Get to know data lake architecture and design principles Implement data capture and streaming strategies Implement data processing strategies in Hadoop Understand the data lake security framework and availability model Who This Book Is For Big data architects and solution architects

A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book * Learn about the various challenges in real-time data processing and use the right tools to overcome them * This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems * A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn * Get an introduction to the established real-time stack * Understand the key integration of all the components * Get a thorough understanding of the basic building blocks for real-time solution designing * Garnish the search and visualization aspects for your real-time solution * Get conceptually and practically acquainted with real-time analytics * Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you'll be equipped with a clear understanding of how to solve challenges on your own. We'll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You'll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.

This book entitled "A Practical Handbook of Experimental Pharmacology" is targeted for the B.Pharm. and Pharm D. students. It is organized in 2 chapters, namely Isolated tissue Preparations and intact preparations. Each chapter covers general introduction followed by simple and stepwise description of principle and procedure involved in various experiments and the diagrams are clear, labelled and self explanatory.

This book is packed with real world examples that cover all the advanced features of PL/SQL. In turn, each major certification topic is covered in a separate chapter that makes understanding concepts easier. At the end of each chapter, you will find plenty of practice questions to strengthen and test your learning.If you are a PL/SQL developer looking for deeper insight and a move from mid-level programmer to professional database developer, then this is the best guide for you. This book is also an ideal guide for all the Associate level PL/SQL programmers who are preparing for the Professional 1Z0-146 certification. This book assumes you have prior knowledge of PL/SQL programming.

An entrepreneur is a person who has possession of an enterprise, or venture, and assumes significant accountability for the inherent risks and the outcome. A project manager is the person who has the overall responsibility for the successful planning and execution of a project. He/she must possess a combination of skills including an ability to ask penetrating questions, detect unstated assumptions and resolve interpersonal conflicts as well as more systematic management skills. The aim of the study is to understand/know the Entrepreneurial issues like business development plan, risk with entrepreneurship, project management processes, their competencies, organization structure, project stakeholder for successful of project and his organization.

well this book covers the faults on a three phase transmission line using simulink tool of matlab. after going through the book, you ll be able to understand the various tools used, the basic parameters and their variation.The most important thing covered in this book is the graphical representation of the Voltage and Current Waveforms during Fault cases.this will help you understand the numerical analysis of faults more clearly.