eChapters

ABSTRACT

This paper discusses IPR concepts in the light of Indian culture and issues emanating from enforcement of those concepts in developing countries such as India.

INTRODUCTION

The adage “Knowledge is wealth” suits the present era well than any other period. India is known for its innovative thoughts since ages. However, it never monopolized the knowledge it possessed. In India, the knowledge of a person is thought to be utilized for the benefit of the society as an obligation of the knowledge holder. Does this mindset of Universal humanity (Vasudevo Kudumbagam) and common good (Sarva Sugino Bavandu) would benefit us in the materialistic society? This paper is an attempt to answer this query.

Abstract

Currently, computers are changing from single, isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW).Current web contains billions of documents and has many administrative problems and limitations; in addition to that the web content is still accessible only to humans. For this reason, support in data, information, and knowledge exchange has become a key issue in current computer technology. The success of the WWW has made it increasingly difficult to find, access, present, and maintain the information required by a wide variety of users. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich available information with machine processable semantics.

Abstract

Protein-protein interactions play a major role in most cellular processes. Many essential cellular processes such as signal transduction, transport, cellular motion and most regulatory mechanisms are mediated by protein-protein interactions. The study of protein-protein interactions is of great importance in determining the biological function and impact of proteins. The experimental techniques remain expensive, time-consuming and labor-intense. Computational methods play an important role at all the stages of determining protein-protein interactions. In this chapter, we describe the different types of protein-protein interactions, computational methods, currently available databases and tools, protein-protein docking and as well as protein-protein interactions as drug targets.

Introduction

“Quality” of fish refers to the aesthetic appearance and freshness or degree of spoilage which the fish has undergone or involves safety aspects such as being free from harmful bacteria, parasites or chemicals. “Quality’’ is a term which must be defined in association with an individual product type. For example, it is often thought that the best quality fish is the one which is consumed within the first few hours of post mortem. However, very fresh fish which are in rigor mortis will be of hard texture and difficult to fillet and skin are often unsuitable for smoking or drying. Thus, for the processor, a slightly older fish which have passed through the rigor process are more desirable.

Introduction

Information Technology (I.T.) with its multi advantageous services has influenced the working of every sector whether it is education, industries, livelihood, agriculture, and other sectors viz government, business, health, employment, environment and security etc. Consequently, taking the benefit of I.T.,  most of the organizations have automated their systems to perform their routine activities in a better way as well as to offer more improved services.

1.1    General Introduction, History, Ownership of Tangible and Intellectual Property
    
1.2    Patentable Subject Matter
    
1.3    Basic Requirements of Patentability
    
1.4    Novelty, Public Domain, Obviousness and Non Obviousness
    
1.5    Inventive Step (Non-Obviousness) and Industrial Application

1. Introduction
The era of genome sequencing was exploded by the upcoming of Human Genome Project (1989), coordinated by the U.S. Department of Energy and the National Institute of Health to identify all the approximately 20,000-25,000 genes, 3 billion chemical base pairs, store this information in databases, improve the tools for data analysis, transfer related technologies to the private sector, and address the ethical, legal, and social issues (ELSI) that may arise from the project. The dawn of genome sequencing began with Fredric Sanger’s sequencing almost twenty-five years ago. The time consuming and labor intensive gel preparation and their running, as well as the cost of such experiments replaced the conventional sequencing by “shotgun” sequencing.

Abstract

DNA barcoding, an additional global standard taxonomic tool for identifying plant species helps the non-taxonomists also to identify the plant species in a more reliable way with the help of devices including nanotechnology. Researchers proposed various genes or gene portions as potential barcodes either singly or in combination, yet there is no standard/ universal barcode DNA region for plants. The more accurate plant DNA barcode region would have to be from highly variable markers in the nuclear genome preferably from multiple loci and in combination with variable DNA regions of chloroplast genome, to resolve the problems that arise due to hybridization, allopolyploidization and introgression. Nonetheless, the phylogenetically informative sites might not be the potential DNA barcode regions as the former requires synapomorphies unlike autapomorphies with high levels of informative characters in the latter DNA taxonomy, but could provide insights into genetic distances between species.

Abstract
This chapter describes how modern quantum mechanical methods can be applied in a systematic manner to understand pharmacophore and mechanistic aspects of drugs. This chapter also explains why accurate computation of drug-receptor interactions is important for in silico drug designing and testing.

WHY in silico DESIGNING?
Drug designing is the inventive art of finding a new lead compound based on knowledge of its biological target and then its slow conversion to a compound of therapeutic benefit to patient termed as “drug”. This whole process comprises of long sequels of synthesizing compounds followed by their testing and activity evaluation procedures; often a seemingly endless task until desired potency level is achieved.

Introduction 
Plant disease has been highly impacted by the development of new technology. The degree of the impact depends on how much the technology affects the component steps of the system. Many of the steps in plant disease diagnosis and management depend heavily on accurate and timely information and so can greatly benefit from the development of improved methods of accessing and disseminating information. Computers provide a wide range of tools which are extensively used in plant disease diagnosis and management. In fact, they will be a key to improve farm practices in the coming decades as it is scientifically pertinent to organize farm information in spatial databases because agricultural systems are inherently spatial. Biological and physical aspects of agricultural system create spatial heterogeneity, and as a result, patchiness is the rule in the occurrence and distribution of plant pathogens and disease (Campbell and Madden, 1990). In the area of plant diseases computers are useful

Introduction
Science and its development have had a great impact on the biological research. The main problem arises to understand and interpret the data which are the results of the higher dimensional research in the above mentioned field, and it is extremely difficult some times to give answers for complex and tedious biological questions generated through the large datasets. Parallel developments of statistical methods provide relaxation over these issues. The statistical method by bioinformatics presents many new and logical problems for researchers, scientists, and scholars related to these communities. Thus the knowledge of statistical concepts and techniques are prime important in this chain. The effort is made to cover stochastic theory, finite Markov chains in learning models to diffusion processes in population genetics, advanced statistical methods with Hidden Markov model and provide some literature on Bayesian computation like MCMC and their resources. Fortunately the applied aspect of probability theory and theory of stochastic processes seem to have been extensively used in the research and development level of biological field but the lacking of required material is a very problematic aspect in the system with proper and systematic ways.

Bioinformatics can be defined as the application of computer technology for the management and analysis of biological data using computer to gather, store, analyze and merge the biological data. It consists of the organization of many kinds of large-scale biological data, particularly that based on DNA and protein sequence, into web-accessible databases and the methods required analyzing these data. Bioinformatics is a fast growing field within the biological sciences that was developed because of the need to handle large amounts of genetic and biochemical data. The goal of bioinformatics is to uncover the wealth of biological information hidden in the mass of data and to obtain a clearer insight into the fundamental biology of organism. This knowledge can have profound impact on various fields such as human health, agriculture, environment, energy and biotechnology. Bioinformatics involves use of various biological databases, which are archives of consistent data that are stored in a uniform and efficient manner. Biological databases are large collections of data that are relatively different to maintain outside the centers and institutions that produce them. These data are traditionally accessed and analysed using browser-based World Wide Web (www) interfaces. There are two types of databases i.e. Primary database and Secondary database. Primary databases contain information and annotations of DNA and Protein sequences, DNA and Protein structure and DNA and Protein expression profiles catalogued for the end users.

ABSTRACT

Gene expression profiling holds tremendous promise for dissecting the regulatory mechanisms and transcriptional networks that underlie biological processes. Microarray expression analysis has become one of the most widely used functional genomics tools. Typical approaches to gene identification and functional characterization have and continue to involve protein characterization, peptide sequence determination, and identification of the corresponding DNA sequence. More recently, expressed sequence tags (ESTs), microarrays, large-scale gene expression (transcriptome) profiling, and associated informatics technologies are rapidly becoming commonplace in the sciences. These ‘genomic’ approaches typically take advantage of technologies for characterizing large numbers of nucleic acid sequences, bioinformatics, and the expanding collection of nucleic acid sequence data.

A Hospital Management System not only provides an opportunity to the hospital to enhance their patient care but can also increase the profitability of the organization. These kinds of applications enable hospitals and doctors to serve their patients better. Computers are being extensively used for routine administrative purposes by health care professionals.

In veterinary medicine, hospital management software is designed for all types of practices, ranging from small, single-vet ones to large ones with multiple locations and vets, and covers a wide range of hospital administration and management processes. It is an integrated end–to-end management system that provides relevant information across the hospital to support effective decision making for patient care, administration & critical financial accounting in a seamless flow. Specific areas of application include scheduling of appointments, registration of cases including client and patient data, case history and electronic medical records, health care reports, reminders, inventory controls, reports and accounting.

“Necessity is the mother of invention”, all of us must have heard this statement at some juncture in our lives. Most of us may even have even gone through the motion of inventing something when needed. However, more and more inventions happening today may not necessarily be necessities. These inventions definitely perform the task of improvingand making convenient our overall living environment. Past few years have seen an increasing awareness and understanding in the field of intellectual property. Among all aspects, one aspect of intellectual property that is gaining increasing attention of intellectual property owners is management of the intellectual property rights.

This brings to our minds one question, how was intellectual property management practised by early mankind? We all do know that early mankind has left no stone unturned to make theabove statement”Necessity is the mother of invention”, a reality. Mankind prospered by leaps and bounds on account of sharing their various discoveries and inventions. Way back then knowledge was meant to be shared, as aptly captured in the Sanskrit Sloka:

7.1 The Formula Palette

By clicking on the equals sign in the formula bar a drop – down panel called the formula palette appeared.

Consider an example, type number 25 in cell A1 and move the cell pointer to cell B2. type or click the equal sign in the formulabar. Adrop – down panel will display formula result = and wait for further inputs. Enter sqrt result to 5 at B2.

The dialog box divides into parts as

(a) Name of the function at the top left of the argument entry box.

(b) Below of this there is the definition or description of the function.

(c) Next, there is an entry explanation.

(d) Formula result.

Things to remember: Any statistical or mathematical function can be activated with = (equal to) sign.

The human civilization and environmental eco-system are the two most important components of real world. The technology intervention to safeguard human civilization and the environment has always been the foremost priority of scientific and engineering community through their innovative expeditions.

9.1 Introduction Numpy

Numpy: is apython package which stands for “Numerical python”.

This was created in 2005 by Travis Oliphant.

Using numpy we can perform the following functionalities:

1. Mathematical and logical calculation on array.

2. Fourier transforms and routines for shape manipulation.

3. It has built in functions for linear algebra random number generation.

4. Used for scientific calculations.

5. It is faster than python list.

6. It is fast because it is associated with c programming.

NumPy is often called as an alternate for MatLab (a programming platform designed specifically for engineers and scientists for data analysis, developing algorithms, create models and application etc.)

1. Introduction

There is an emergence of the concept of a Circular Economy as one of the transformational approaches toward sustainability, where greater emphasis is laid on rethinking and redesigning products and services for maximum resource efficiency. In contrast to the traditional linear model ("take, make, dispose"), CE emphasizes product reuse, recycling, and cascading with the clear ambition of closing the loop of product lifecycles through continuous recovery of resources. The key to this solution involves changing the paradigm, highly relevant to resolving pressing environmental issues facing the planet such as resource depletion, waste management, and climate change.

Conventionally regarded as information stores, libraries are increasing awareness of their potential to create an impact toward sustainable practices. Centres of information and meeting points for communities, libraries are at an advantageous position for leading by example in integrating the principles of CE into their system. This paper examines the current status of integrating the circular economy principles within library management and discusses a proposed conceptual framework that aims to guide libraries in adopting circular practices. The paper addresses the contribution that libraries might make to a more sustainable future by exploring the intersection between CE and library management through innovative practices and strategic plans.

1. Introduction

Libraries have an outstanding role in the advocacy of sustainability and green practices, now that the place of environmental awareness is on the rise. Green libraries provide a commitment, through sustainable architectural practices, efficient systems in energy saving, measures taken with environmental consciousness to preserve resources, and ways to conserve resources in the work they do. The libraries focus on ensuring they provide healthy indoor spaces and educate their communities on sustainability. Admittedly, it is through the adoption of these practices that libraries minimize their ecological footprint and provide a beacon of environmental responsibility. Green libraries are facilities that take ecologically friendly approaches in carrying out operations and programming in activities targeting environmental responsibility. Such libraries try their best to use methods that diminish energy consumption and lower resource use to move closer to sustainability at its core, which may have less of an impact on the environment. Green libraries have focused on recycling, reduction of trash, renewable sources of energy like solar panels, energy efficiency in lighting and space heating, sustainable building materials, and architectural style.

1. Introduction

There is a real climate change, and human activity is its primary driver. Notably, worldwide average temperatures have been rising consistently since the beginning of the Industrial Revolution, posing a danger to life as we know it from climate change. For example, 2019 had record sea levels, melting ice, and unusually high global temperatures as a result of increased human activity. Regrettably, in spite of the fact that climate change is causing the environment to deteriorate more and more, insufficient worldwide pledges have been made to mitigate its effects. Thus, the necessity for green libraries became apparent. In India, green libraries are becoming more and more important as the country works toward achieving the Goals for Sustainable Development (SDGs). These libraries promote a comprehensive approach to environmentally friendly growth by serving as examples of social responsibility, environmental care, and economic success. Green libraries use eco-friendly construction materials, sustainable waste management practices, and renewable energy sources like solar power in their design. They clearly support climate resilience and drastically cut carbon footprints, which is in line with SDG 13 (Climate Action). Additionally, by fostering environmental literacy, lifelong learning for people of all ages, and inclusive and equal access to knowledge and educational resources, green libraries in India actively support SDG 4 (Quality Education). Additionally, by acting as green public spaces that improve urban livability and provide a haven from the bustle of city life while encouraging social cohesion and community participation, these institutions serve SDG 11 (Sustainable Cities and Communities).

1. Introduction

Libraries play a crucial role as community centers that promote education, culture, and individual growth at a time when information is the currency of advancement. Rural libraries, however, confront unique difficulties that set them apart from their urban counterparts. Rural libraries often struggle with limited funding, being geographically isolated, and having difficulty obtaining technology infrastructure. Yet, in order to guarantee that rural libraries can provide the same caliber of service as their counterparts in larger cities, pricing and accessibility become vital factors. And in light of all of that, they continue to be vital community hubs that contribute significantly to education, cultural enrichment, and lifelong learning.

Open source solutions hold a lot of promise for addressing these problems.Open source software solutions are more affordable and flexible than proprietary software systems, allowing them to be tailored to the specific needs of any rural library. Among other reasons, the library staff finds it easier to catalog documents when they use these kinds of systems. Because these systems use simpler circulation techniques, they assist them with saving expenses while guaranteeing higher user involvement.

1. Introduction

Web 2.0 speaks about the second version of web advancement and draft that aims to make it easier to communicate and safer to share information, as well as to make the web more interoperable and user-centered. Social networking sites, video-sharing sites, Wikis, blogs, and folksonomies are just a few of the web-based communities, hosted services, and apps that have grown and changed because of Web 2.0 ideas. (King and Brown, 2009; Wikipedia, 2010c). According to Birdsall (2007) web 2.0 is a social revolution since these tools have brought new changes in the society. According to O'Reilly (2005) the advent of Web 2.0 has revolutionized the way individuals and organizations interact with the internet, marking a significant shift from a static web experience to a dynamic, user-driven environment. This transformation is characterized by the emergence of platforms and tools that empower users not only to consume content but also to create, share, and collaborate on it. As a result, Web 2.0 has fostered a more participatory online culture, where users actively engage in the generation and dissemination of information.

1. Introduction

Electronic theses and dissertations (ETDs) are a great resource for scholars in academic institutions. They assist academics in comprehending the study carried out in prior years. When study results are made accessible on an open access platform, they are extensively utilized for further inquiry and teaching purposes. Theses and dissertations need to be made publicly available so that the users can get access to it. So, the emergence of Shodhganga proves to be very useful to the students, researchers, faculties and all other users (Vijayakumar and Vijayakumar, 2007). A significant number of doctorate research projects are now being conducted worldwide in several fields within the natural sciences. Bibliometrics focusses on analyzing the attributes of published literature, such as the distribution of literature on different subjects, statistical examination of content kinds, references, citations, and co-citations within and across fields (Pritchard, 1969). Davarpanah and Aslekia (2008) conducted bibliometric research on PhD theses, however these investigations were often limited to a certain university or department. Shodhganga serves as a digital archive for freely accessible whole texts of Indian electronic theses.

Introduction

A complete neurological examination is warranted whenever an equine patient displays signs consistent with neurological disorder or to establish that the horse is neurologically normal (e.g., pre-purchase examination). Neurological examination of equine patient is challenging due to their large size, which prevents veterinarian from using many of the tests used for small animals. The key to a successful neurologic examination is to do the examination in a consistent and organized fashion. It is important to develop a routine, then do it the same way each time. This approach ensures that some parts of the examination are not forgotten and it also increases the consistency of the exam as you examine more number of equine patients. A standardized examination form is a valuable aid in this and can be concise. The goals of the neurologic examination are to determine whether disease of the nervous system exists, to localize the lesion to a particular area of the nervous system, and to describe and record the responses as a baseline for future evaluations. In this paper, a complete neurological examination is described with special emphasis on field conditions.

Introduction

Canine epilepsy, a prevalent neurological disorder, significantly impacts the quality of life for both dogs and their owners. Traditional anticonvulsant therapies often yield inconsistent outcomes, necessitating the exploration of alternative treatments such as homeopathy [1][2]. Homeopathy’s individualized approach aligns with the principles of unicism, focusing on holistic care tailored to each patient’s unique symptom profile [3]. However, the subjective nature of remedy selection and response assessment poses challenges for practitioners.

The integration of Artificial Intelligence (AI) and Machine Learning (ML) offers a promising avenue to address these challenges [4]. Predictive models can analyze complex datasets to uncover patterns that guide remedy selection and treatment strategies. This study evaluates the comparative performance of Logistic Regression, Random Forest, and XGBoost in predicting treatment outcomes for canine epilepsy managed with homeopathic remedies.

Introduction
Sustainability in the digital age represents a transformative approach to addressing the critical challenges of economic growth, environmental stewardship, and social equity. For India’s vision of “Viksit Bharat” (Developed India) by 2047, integrating sustainable practices within the digital transformation framework is pivotal. This foundation has three primary pillars: technological innovation, inclusive development, and environmental responsibility.
Role of Technological Innovation: Digital technologies have emerged as essential drivers of change, reshaping traditional methods of governance, education, healthcare, and industrial processes. Initiatives such as Digital India have laid the groundwork for building a robust digital infrastructure, empowering millions of Indians, especially in rural areas, with access to essential services. Artificial intelligence (AI), the Internet of Things (IoT), and blockchain technology are transforming industries by enabling smarter decision-making, improving resource efficiency, and promoting transparency. For instance, AI-powered systems are being used to optimize energy grids, reduce waste in supply chains, and monitor environmental conditions. These advancements directly contribute to sustainability by minimizing resource consumption and mitigating environmental degradation. IoT-enabled smart cities enhance urban planning, improve waste management systems, and facilitate efficient energy use. India’s Smart Cities Mission exemplifies the integration of such technologies, targeting sustainable urbanization to accommodate the growing population without overburdening the environment.

Introduction
Panch Parivartan, which translates to “Five Transformations,” is an innovative framework that uses information technology (IT) to catalyze a profound and holistic transformation across multiple sectors of society, governance, and the economy. This framework aims to create a sustainable and inclusive model for development by leveraging IT to drive change in key areas, including governance, economic growth, social equity, education, and environmental sustainability. In India’s development, particularly in the drive towards a Viksit Bharat (Developed
India) by 2047, the Panch Parivartan framework outlines a roadmap where IT is the backbone for achieving transformative change. Through the strategic deployment of IT solutions, the framework seeks to address complex challenges, unlock new opportunities, and pave the way for a more equitable, efficient, and sustainable society.

Introduction
Information Technology (IT) has become a cornerstone of modern society, driving innovations across industries and redefining operational efficiencies. However, energy consumption has increased exponentially as the IT sector expands, making energy efficiency a critical focus area. The interplay between IT and energy efficiency is multifaceted, encompassing hardware optimization, sustainable software development, advanced cooling technologies, and integrating renewable energy sources. This relationship is pivotal in mitigating the environmental impact of IT while sustaining its growth trajectory.

Introduction
As information technology (IT) continues to evolve and integrate into every aspect of human life, the intersection of IT and sustainability presents immense opportunities and significant ethical challenges. These challenges arise from the complex relationship between technological advancement, environmental responsibility, social equity, and economic growth. While IT has the potential to drive progress toward sustainability, it also introduces new risks and dilemmas that need to be carefully navigated. The ethical concerns surrounding IT and sustainability can be broadly categorized into data privacy, digital divide, environmental impact, accountability, and the potential unintended consequences of technological innovations.

4.1 Phases of technology transfer
To translate laboratory research into market ready product, it is important to understand steps or phases involved in this technology transfer process. The process typically includes six main phases, each with a different role (figure 9).
4.1.1 Research
Technology transfer begins with research, the critical stage of exploring and discovering novel knowledge, technologies, or innovations that may have potential commercial applications. The research phase can occur in academic institutions, research organizations, or private sector companies, often funded by public or private sources. Thorough research ensures that the technologies being transitioned are scientifically and technically robust, thereby increasing their potential for market success. Therefore, the research phase involves creating and evaluating new ideas, confirming their feasibility, and identifying IP prospects, all of which are key components of TT success.
4.1.2 Innovation disclosure
Innovation disclosure is the first formal step where the innovation is reported to the appropriate TTO or IP management team. This process ensures that the institution or organization recognizes the innovation and evaluates its potential for protection and commercialization. It includes following information:

In business people regularly have to deal with situations where they have to make some decisions after analyzing some data. In such cases they often build a spreadsheet model of their problems. Financial Modelling using spreadsheets like MS Excel are used in many fields like financial analysis, risk analysis, valuations, investment management, credit analysis, scenario analysis, budgeting, sales forecast, financial projections, project evaluation, etc. Along with the use of Excel as a tool for modelling, skills in recording and using Macros in Excel is also required. Excel modeling remains one of the most widely used approaches in financial modeling and data analytics, offering a flexible and intuitive platform for analyzing financial data, building forecasts, and supporting decision-making. Its popularity stems from its accessibility, powerful built-in functions, and ability to create structured models without requiring advanced programming

Python has emerged as one of the most popular and versatile programming languages in the contemporary world of computing. Developed by Guido van Rossum and first released in 1991, Python was designed with a clear emphasis on simplicity, readability, and ease of use. Its syntax closely resembles natural language, making it an ideal choice for beginners as well as experienced programmers. Over the years, Python has evolved into a powerful, high-level language that supports multiple programming paradigms, including procedural, object-oriented, and functional programming. One of the defining features of Python is its readability and clean structure, which allows developers to write clear and concise code. Unlike many other programming languages that rely heavily on complex syntax and punctuation, Python uses indentation to define code blocks, promoting better organization and reducing the likelihood of errors. This design philosophy not only enhances code clarity but also encourages good programming practices,

Computational intelligence is enabling agriculture to evolve into a data-driven, adaptive and increasingly autonomous system. This chapter introduces its concepts, scope and role in smart agriculture by presenting farms as interconnected cyber-physical-biological environments. It discusses artificial intelligence, data analytics and decision-support systems and explains the progression from traditional farming to precision and smart agriculture. IoT, remote sensing, cloud platforms and digital agricultural ecosystems are examined as enabling technologies. The chapter also considers socioeconomic, environmental and scalability challenges. It establishes the conceptual and architectural foundation required to understand how computational intelligence can improve productivity, sustainability, resilience and decision-making in next-generation agricultural systems.

Early and accurate crop-disease diagnosis is essential for preventing production losses and reducing unnecessary pesticide use. Manual diagnosis can be slow, subjective and difficult to apply across large agricultural areas. This chapter introduces computational approaches using artificial neural networks, fuzzy logic, support vector machines, deep learning and hybrid optimization models. It discusses image acquisition, preprocessing, feature extraction, pattern recognition and classification of disease symptoms from leaves, crop canopies and sensor data. Integration with precision-agriculture systems, mobile advisory applications and real-time monitoring enables timely intervention. Challenges involving data quality, field variability, model interpretation and large-scale deployment are examined through practical examples and case studies.

3.1 Introduction

One of the most important objectives of statistical analysis is to summaries the information contained in the data which may be considered either as a population or as a sample (or sub-population). If the set of data consists of all conceivably possible (or hypothetically possible) observations of a certain phenomenon or a variable, we call it as population. If a set of data contains only a part of these observations, that is selected values of a variable, we call it as sample. Frequency distribution and graphical representation summarize to some extent.  They reduce a mass of data to a more understandable form but not to a single value. The aim of this lesson is to determine descriptive measures or statistical constants which will describe the nature of the data.

In day-to-day life, one comes across many statements which create doubt about certain happenings and one may want to determine the chance of occurrence of a particular happening, e.g., if one desires to know the chance of rain based on some metrological observations.  In the case of coin tossing, one wants to know what will be the chance of winning if a person always stakes for head in a fixed number of tossing. There can be innumerable such queries which one would like to make and meanwhile evaluate mathematically the chance of the occurrence of such possibilities.  This invoked the need of probability theory. The theory of probability came in existence when problems of games were referred to mathematicians like Karl Pearson, Laplace and others. Complicated applications involving advanced theory of probability and axionmatic approach of probability are not dealt within this book.

Databases

A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. Databases can be classified according to types of content: bibliographic, full-text, numeric and images and by their application area, for example: accounting, music compositions, movies, banking, manufacturing, or insurance. The term database may be narrowed to specify particular aspects of organized collection of data and may refer to the logical database, to the physical database as data content in computer data storage or to many other database sub-definitions.

1. Introduction

Antheraea assamensis is lepidopteron insects of Assam which is commercially utilized for the heritage golden silk “muga”. Rearing of muga silkworm is one of the most significant traditional handloom industries restricted only to the North Eastern Region of India (N.E. India) and plays a major role in the rural economy.  Considering the ecological conditions, food plant distribution, presence of eco-types and species of diverse nature in co-existence, it is speculated that this region is a possible home of origin of Antharaea, from where radiations would have occurred (Neog et. al., 2010). Despite the fact that N.E. India is the original home of muga, earlier studies have shown that the population is declining due to depletion in genetic variability (www.cdfd.org.in/wildsilkbase/info_moths.php).

Introduction
 
Intellectual property is a cluster of legally recognized rights associated with innovation and creativity, the works of the mind, as against physical products, land and other tangible resources. Even though it is intangible, intellectual property (IP) is often recognized as personal property, to be sold and traded like other forms of property. Under intellectual property law, owners are granted certain exclusive rights to various markets, machines, musical, literary, and artistic works; discoveries and inventions; and applications. But national laws normally don’t define ‘intellectual property’ as a single property right. Instead, ‘intellectual property’ is used as a convenient general term describing a range of distinct legal rights, relating to literary, artistic and scientific works; performances of performing artists; phonograms, and broadcasts; inventions in all fields of human endeavour; scientific discoveries; industrial designs; trademarks, service marks, and commercial names and designations; protection against unfair competition and all other rights resulting from intellectual activity in the industrial, scientific, literary or artistic fields.

Abstract

Training is essential but expensive. Hence, training impact is a crucial measure. National Agricultural Research System (NARS), India employs about 30000 scientists. To effectively manage such huge scientific-capital, Indian Council of Agricultural Research (ICAR) establishedCentres for Advanced Faculty Training (CAFT) and National Academy of Agricultural Research Management (NAARM). CAFT train faculty of State Agricultural Universities (SAUs), while NAARM trains scientists of ICAR institutes and SAUs. Assessing impact of these training programmes becomes essential. Application of knowledge, skills and attitude (KSA) acquired during training back at job environment is training-transfer that addresses learning, behaviour and results levels of training impact. This chapter critically analyses training-transfer of NAARM and CAFT programmes, suggests empirical framework to enhance impact of NAARM and CAFT programmes and thus contributes to literature. Policy strategies suggested in this paper hold wider applicability.

1.1. INTRODUCTION

In this chapter, we will know how to classify raw data. The purpose of classifying raw data is to bring order in them so that they can be statistically analysed easily. Classification of objects or things saves our valuable time and effort. It is done in a logical manner and similar things are arranged into a group or class.

3.1. INTRODUCTION

In this chapter, we will study the measures of central tendency which is a numerical method to explain the data in brief. We can see examples of summarizing a large set of data in day to day life like average marks obtained by students of a class in a test, average rainfall in an area, average production in a factory, average income of persons living in a locality or working in a firm etc.

One of the most important objectives of statistical analysis is to get one single value that describes the characteristic of the entire mass of data. Such a value is called the central value or an ‘average’ or the expected value of the variable. This single value is the point of location around which individual values cluster and, therefore, called the measure of location. Since this single value has a tendency to be somewhere at the center and within the range of all values it is also known as the measure of central tendency. The purpose of computing an average value for a set of observations is to obtain a single value which is representative of all the items.

Biology is in the middle of a major paradigm shift driven by computing technology. Due to the impact of information technology, biological sciences have been rapidly becoming much more computational and analytical. Rapid progress in research in the field of genetics and related field combined with the tools provided by modern biotechnology has generated massive volumes of genetic and protein sequence data over last two decades. Compilation, storage, analysis for extraction of information and knowledge from this data becomes a challenging task as usual analytical procedures are not directly applicable to these data sets.
 
Bioinformatics has been defined as a means for analysing, comparing, graphically displaying, modeling, storing, systemising, searching, and ultimately distributing biological information, which includes sequences, structures, functions, and phylogeny. Thus, bioinformatics may be defined as a discipline that generates computational tools, databases, and methods to support genomic and post-genomic research. It comprises the study of DNA structure and function, gene and protein expression, protein production, structure and function, genetic regulatory systems, and clinical applications. Bioinformatics applications need knowledge from computer science, mathematics, statistics, medicine, chemistry and biology.

Natural Gene Flow in Plants

More than 70% of plant species, for example potato, oat, rape-seed, wheat, and kiwifruit have come from spontaneous interspecific or intergeneric hybridization although the extent of natural hybridization differs among the plant genera and families. It creates genetic variation and produce recombinant genotypes that may exhibit heterosis.The stabilization of these hybrids often through polyploidy (autopolyploidy or allopolyploidy) can result in the formation of new biological species (Masterson, 1994), thereby, having impact on both ecological and evolutionary processes (Martinsen et al., 2001). In addition, species genomes are often differentially permeable to introgression if they are under simple genetic control (unlike many genes contribute to hybrid fitness with linkages) and certain portion of the genome can readily incorporate alien alleles. Introgression is a selective process of gene flow that filters deleterious genes and takes only beneficial genes (incorporating the alleles from one taxon into other).

ANTIBIOTICS

Antibiotic is a drug used to treat infections caused by bacteria and other microorganisms. Technically an antibiotic is a substance produced by a microorganism that selectively inhibits the growth of another. Penicillin was the first antibiotic discovered by Alexander Fleming in 1928, a significant breakthrough for medical science. Antibiotics had saved thousands of wounded soldiers in the I and II world wars. Also, use of it made surgery safer and increased the average life expectancy of human beings. Antibiotics are among the most frequently prescribed medications in modern medicine. Some antibiotics are ‘bactericidal’, meaning that they work by killing bacteria. Each type of antibiotic affects different bacteria in a different way. Some antibiotics can be used to treat a wide range of infections and are known as ‘broad-spectrum’ antibiotics. Others are only effective against a few types of bacteria and are called ‘narrow-spectrum’ antibiotics.

I. INTRODUCTION

Over the last few decades, protection of intellectual property rights (IPRs) has become a global issue. The existing international intellectual property rights regime has been governed by the Trade- Related Aspects of Intellectual Property Rights (TRIPS) Agreement.1 Inspite of maturity of intellectual property laws in post TRIPS era it still desiderate to established coherence with human rights laws particularly right to health and maintain a distance with the socio-economic dimension of intellectual property protection. On the other hand the international human rights instruments from the very beginning appear to be considerable to make certain links with intellectual property rights.2 The issue that is now debated that the adoption of the TRIPS Agreement provisions have serious impact on the realization of certain basic human rights such as the right to health because of non availability and affordability of much needed medicines for the poorer populations of the world particularly in majority of developing countries. Meanwhile TRIPS flexibilities as confirmed by the Doha Declaration on Public Health were adopted in 2001 by the global community to address medicines as public health issue.3 Keeping in view the above developments the problem of right to health and the relationship between medical patents and access to medicine in the case of the HIV/ AIDS and T.B epidemics is complex challenge in the context of the 2030 Agenda for Sustainable Development Goals in 2015 adopted by Member States of the United Nations in Sep, 2015. One of the aims of the agenda is to ensure healthy lives and promote the well-being of people of ages.4 In such a situation it is high time to revisit the existing intellectual property regime in the broader context to protect everyone who is likely to be negatively affected by intellectual property standards imposed by developed nations. Under this backdrop the present paper wishes to examine the various kinds of potential impacts of intellectual property regime on the realization of access to medicine as part of human right to health as universal entitlements amongst the most disadvantaged and marginalized peoples and communities in the broader context of sustainable development goals.

The main purpose of this lecture note is to provide basic information on patent drafting skills and train applicants for drafting a patent in clear and concise manner.

We will see the components of Complete Specification through the following Case studey (1) of a solar water heater. The figures are provided below for reference and better understanding.

A Patent is a written document explaining an invention with exclusive right. It is used to protect an inventor/scientist and to prevent other from making profits without permission. It is also used as an authority paper permitting license holders to duplicate the results. A patent application requires a combination of legal documentation and technical papers. This issue makes patent writing a very different writing style.

In India, patent applications can be filed by a patent agent or an individual having some scientific and technical background to understand the invention. However, no one can understand the invention better than the inventors themselves. Document preparation requires healthy discussions between the inventor and agent. For inventors, a good understanding on patent writing style can greatly facilitate the documentation process. Before filing the patent application inventor must be sure about that the subject is eligible for patent protection, the invention has something new, the invention is not obvious and is not easily predictable from general consensus, and the invention has practical application.

1.1 Introduction

The word ‘computer’comes from the word ‘compute’, which means to calculate or perform a sequence of operations. Hence, a computer is normally considered to be a calculating device, which can perform arithmetic operations at enormous speed.

In other words, a computer takes information (or input), processes it according to a set of instructions (or process), and gives back a result (or output). In this respect, it is very similar to a calculator, but obviously somewhat more complex.

A computer is a multi-function platform. The same machine can perform many different tasks by using different programs. The programs (also termed as applications) are written to do everything imaginable. In other words, we can say that a program is a set of instructions issued to a computer in order to get the desired output.

Definition

A Computer can defined as an electronic device that takes input from its user, stores, processes data and generates the required output as per the processing instructions given to it by the user.