Welcome to the experimental world of Pharmaceutical Analysis. This practical book has been carefully drafted to provide you with a solid foundation in the experimental concepts and basic fundamental in this field. Lab experiments are categorized according to type of titration or technique. Each technique is introduced before experiments. In most of the labs experiments molar and Normal solution are used as followed in recent edition of Indian Pharmacopoeia. Question are presented throughout each experiment. It is important for the students to answer each questions as it will help to improve understanding about experiments. This practical book is the outcome of numerous efforts of authors to incorporate the practical knowledge of Pharmaceutical Analysis. Which has been a requirement of curricula of Pharmacy council of India. This book comprises with 19 Practical’s with short notes as well as viva questions.
This book endeavors to explore the role of different groups of microbes in the biodiversity enrichment, forest productivity, land restoration, agricultural productivity and green technology. In this book emphasis is mainly given on mutualistic interactions especially on plant Mycorrhizae and Plant growth promoting rhizobacteria (PGPR).
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Transitioning to DevOps requires a change in culture and mindset. At its simplest, DevOps is about removing the barriers between two traditionally siloed teams, development, and operations. In some organizations, there may not even be separate development and operations teams; engineers may do both. With DevOps, the two teams work together to optimize both the productivity of developers and the reliability of operations. They strive to communicate frequently, increase efficiencies, and improve the quality of services they provide to customers. They take full ownership for their services, often beyond where their stated roles or titles have traditionally been scoped by thinking about the end customer’s needs and how they can contribute to meeting those needs. Quality assurance and security teams may also become tightly integrated within these teams. Organizations using a DevOps model, regardless of their organizational structure, have teams that view the entire development and infrastructure lifecycle as part of their responsibilities. In this book, we introduce the DevOps culture, and the tools and techniques under this technical cultural umbrella. We explain microservice, containers, Docker Container, Kubernetes, etc., and the significance of these in adopting the DevOps culture for successful software development.
The industry dealing with wireless communications has experienced an unprecedented boom throughout the past several years. Thanks to the possibilities of wireless technology, it is feasible to connect with almost every point on Earth's surface from almost anywhere. Hundreds of millions of people use the internet to communicate and exchange data every day. A variety of wireless communication devices, including pagers, mobile phones, laptops, and PDAs, are utilised by these individuals for this purpose. The phenomenal success of wireless phone and message services makes the transition to wireless communication in the realm of personal and corporate computers all the more predictable. Because there will be no longer be any restrictions imposed by wired networks, people will be able to access and exchange information globally from almost any place they can imagine. Alternatively stated, a Mobile Ad hoc Network (MANET) [Agrawal2002, Cordeiro2002, Perkins2001] is a network that may be instantaneously formed without relying on preexisting infrastructure or additional permanent stations. Put simply, it is a network that can be constructed as needed. To give this argument more structure, we can say that an ad hoc network (abbreviated as "ad hoc") is a self-governing system consisting of mobile hosts (MHs) that act as routers and are linked to each other via wireless connections. The combination of different MHs yields a communication network represented by an arbitrary communication graph. In contrast, by repurposing base stations (BSs) as access points, the famous single-hop cellular network architecture may meet the needs of wireless communication. That is not the case, though, as was previously stated. The only means for two mobile nodes in a modern cellular network to communicate with each other are through the cable backbone and the fixed base stations. A MANET lacks this kind of infrastructure, and the topology of the network might alter in an unforeseen way due to its increased dynamic nature, as nodes are free to move around. This is due to the fact that MANETs are more dynamic. Regarding their mode of operation, ad hoc networks are essentially just peer-to-peer multihop mobile wireless networks. As seen in Figure 1.1, these networks are designed to carry data packets using a store-and-forward technique, which involves transferring them from one location to another via intermediate nodes. Packet forwarding over the network does this. Since the MHs are in motion, the other nodes in the network must be informed of the ensuing topological change. This occurs as a result of the MHs' mobility. Because of this, you can choose to keep the old topological data or delete it. When nodes in the network change their point of attachment, like the MH2 node in Figure 1.1 does, from MH3 to MH4, other nodes should utilise this new channel to send packets to the MH2 node.
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