eChapters

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.)

16.1 OOP in python

Object-oriented programming (OOP) is a programming language model which organized object and data.

16.1.1 What is Encapsulation

If same variable is reapet in two different palce then which problem is solved using encapsulation it means one variable is making private otherwise program generate error.

16.1.2 Abstraction

Abstraction in Python is the process of hiding the real implementation of an application from the user and emphasizing only on usage of it. For example, consider you have bought a new electronic gadget. Along with the gadget, you get a user guide, instructing how to use the application, but this user guide has no info regarding the internal working of the gadget.

Another example is, when you use TV remote, you do not know how pressing a key in the remote changes the channel internally on the TV. You just know that pressing + volume key will increase the volume.

This chapter deals with the objects used in R which contains the data in various formats. The data types used in R has also been mentioned in this chapter. The chapter also includes the functions used in R as the codes for accomplishing several jobs related to data analysis.

Unlike C language and Java, the variables in R are not declared as some data type. The variables are assigned with R object and the data type of R object becomes the data type of the variable. The commonly used R objects in R are vectors, lists, matrices, arrays, factors and data frames. The vector object is the simplest one and other R-objects are built upon the vectors. The different data types of these vectors are logical, numeric, integer, complex, character and raw. The objects in R are stored by the name of a variable and the data type of the object is determined by its content. To know the data type of a variable the class() function is used. The various data types are described as below:

Abstract

Omics arise from ome which means complete or totality. It refers to the collection of technologies used to investigate the roles, relationships, and actions of the various types of molecules that make up an organism’s cells. Omics technologies provide the tools required to investigate differences in DNA, RNA, proteins, and other cellular molecules between species and individuals within a species. These technologies comprise, genomics, transcriptomics, proteomics, metabolomics, ionomics, glycomics, lipomics, cultureomics, pharmacogenomics, metagenomics, foodomics, eigenomics, phenomics, etc. The inclusion of all omics domain is known as multiomics. In this chapter we describe from basic, type structure of omics to all the recent cutting edge technologies in multiomics.

The rapid expansion of Large Language Models has created two major development ecosystems: open-source models that emphasize transparency, accessibility and community participation, and proprietary models that emphasize centralized control, commercial support and scalable services. This chapter provides a comparative examination of these approaches across technical, economic, ethical and operational dimensions. Open-source models typically provide access to model architectures, weights and development tools, enabling researchers and organizations to inspect, modify, fine-tune and deploy models for specialized applications. Their community-driven nature can accelerate innovation and reduce barriers to experimentation. Proprietary models, in contrast, generally provide controlled access through commercial APIs or platforms and may offer optimized infrastructure, enterprise support, security mechanisms and large-scale deployment capabilities. The chapter compares the two approaches in terms of transparency, customization, licensing, scalability, accessibility, security, cost, accountability and innovation potential. It also discusses the advantages and limitations of each model for startups, academic institutions, enterprises and researchers. Rather than presenting a universal winner, the chapter emphasizes that model selection should depend on application requirements, available resources, governance needs, technical expertise and desired levels of control.

2.1 Definition and Concept

An operating system (abbreviated as ‘OS’) is the program that, manages all the other programs in a computer. Every general-purpose computer must have an operating system. It provides support for the loading and execution of other programs which are known as Application Programs.

Orthogonal designs provide an efficient framework for arranging treatments and sources of variation so that their effects can be estimated independently. This chapter introduces contrasts, orthogonal contrasts, and the concept of orthogonality in experimental design. Orthogonality helps prevent the effects of different factors from becoming entangled and facilitates systematic statistical analysis. The chapter discusses three basic experimental designs: Completely Randomized Design, Randomized Complete Block Design, and Latin Square Design. Their principles, applications, and suitability for forestry and agricultural experiments are explained. Examples involving seedlings, tree species, fertilizers, chemicals, wood pieces, and seeds demonstrate how appropriate design selection can reduce heterogeneity and improve experimental precision.

11.1 Introduction

Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. The name Pandas is derived from the word Panel Data - an Econometrics from Multidimensional data.

In 2008, developer Wes McKinney started developing pandas when in need of high performance, flexible tool for analysis of data.

Prior to Pandas, Python was majorly used for data munging and preparation. It had very little contribution towards data analysis. Pandas solved this problem. Using Pandas, we can accomplish five typical steps in the processing and analysis of data, regardless of the origin of data - load, prepare, manipulate, model, and analyze.

Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc.

Technology transfer is an important commercial tool for leveraging and optimizing the value of intangible assets in the present era of globalization which has deepen the process of integration of the economic resources including the free movement of goods, merchandise, services, capital and intellectual property rights. This economic integration is facilitated by a legal framework of World Trade Organization (WTO) under various agreements including the Trade Related Aspects of Intellectual Property Rights (TRIPS). There are other International Institutions i.e., World Intellectual Property Organization (WIPO), World Customs Organizations (WCO) and United Nations Conference on Trade and Development (UNCTAD) to regulate and provide guidance for the protection and enforcement of IPRs. The present global economy is geared and triggered by knowledge and almost 80 % of the global wealth comes from knowledge based intangible assets and helps optimization of the limited global resources. Technology transfer is a tool for leveraging the value of IPRs and also for sharing knowledge around the world. Knowledge is weightless and in today’s era, knowledge is driven by Information and Communication Technology (ICT) which adds to productivity in all aspects of economic life.

The term “Technology transfer” broadly connotes transfer of knowledge from one legal entity to another legal entity within and outside the national territories of the legal owner of the Patent holder at a consideration, known as license fees or technical fees or royalty. This may happen as a part of Foreign Direct Investment (FDI) or as a part of pure technological collaboration. In other words, Transfer of Technology (TOT) and Technology Commercialization allows the transfer of the technology by a patent holder to a user for further development and exploitation of the technology into new products, processes, applications, material or services. Patent provides an exclusive right to the patentee to exclude others from using an invention without his consent and the technology transfer is the process to include the licensee as the legal user without infringing the rights of the patentee. The exclusive right granted to a patentee is the right to prevent others from making, using, selling, or distributing the patented invention without his permission. The technology transfer allows the user to use the patented technology with the consent of the patent holder.

Abstract

Patent infringement is the act of unauthorized making, using, offering for sale or selling any patented invention within the India. In case of patent infringement it is necessary for the patentee to compare the claims granted to him with the allegedly infringing product an check whether there is an infringement – whether the infringing product falls within the scope of the claims of the patent. In such a case the patentee may sue for relief in an appropriate court. The patentee may ask for permanent injunction and damages on account of the infringement. It is the crusade of the inventor asserting his rights against an infringer and the law recognizes the importance of this right; because, without such positive and assertive rights, industrial progress would be hard to come by

Abstract

Patent is a monopoly right which is granted by the Government to the applicant for the full disclosure of an ‘invention’ which is ‘new’, ‘inventive’ and ‘industrially applicable’. Thus, before filing a patent application, the inventor must be sure that the work done by him is new and inventive. Further, during the examination of the patent application, it is required to be verified that the invention claimed in the disclosure/specification is new, inventive and industrially applicable. Since the search for the ‘Novelty’ of the invention is carried worldwide, it becomes all the more important for the inventor and the examiners to search for the prior art thoroughly. Searching for the prior art (i.e. state of the art) across the globe in around millions of documents both patents and non-patent documents, is like ‘searching a needle in the haystack’. However, by using proper keywords and classification techniques, it is possible to arrive at the closest prior art available. Each patent application is classified by the Indian Patent Office and thus attributed to one or several fields of technology. The classification scheme applied is the International Patent Classification (IPC).

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.

I. INTRODUCTION

In a global, knowledge-based economy, Intellectual Property Rights (IPRs) are a key to the international competitiveness of both nations and firms. International competition in the traded goods increasingly contains a high degree of innovation. IPRs have thus; become a trade issue and a major component of the World Trade Organisation (WTO). Adequate IP protection at an international scale has become essential for appropriating global revenue streams to support investments in developing state of- the- art technology. Although the concept of intellectual property is very old, there appeared the need to harmonize laws to facilitate international trade and free flow of technology. This became very necessary because it was difficult to obtain sufficient protection in the other countries of the world, in view of the disparity in the laws in each country. As per World Intellectual Property Organisation (WIPO) definition, intellectual property refers to creations of the mind, inventions, literary and artistic works, symbols, names, images and designs used in commerce. Broadly, intellectual property is divided into two categories. The first category covers industrial property, which includes patents, industrial designs and trademarks, all of which have industrial applications. The other refers to copyright laws, which are applied to such things as literary, dramatic and artistic works; rights relating to performing artists, the production phonograms and rights of broadcasters in their radio and television programs.¹ Patented inventions have, in fact, pervaded every aspect of human life, from electric lighting and plastic, to ballpoint pens and microprocessors. During a time when the future of many industries seems uncertain, one industry in particular appears to be positioned for expansion and enduring success. This is the biotechnology industry, which according to some analysts will be a major driving force behind the new economy of the 21st century.2 This seemingly lofty prediction is based in large part on the immense promise offered by biotechnology. The innovations developed with biotechnological techniques promise to prolong and improve our lives and the world we live in by achieving advancements in health care, agriculture, food products and production, industrial processes and environmental preservation. Biotechnology is not a new science and it has existed in some form or the other for centuries. Biotechnology in one form or another has been part of human development since the dawn of agriculture. Human ingenuity has led to increased production and greater diversity and quality of livestock and varieties of crops. Today’s food crops and domestic animals embody the benefits of many generations of selection and breeding. However, the advent of genetics has opened exciting opportunities in this sector, because of its numerous applications, which range from improvement of human health and food production to reduction of environmental damage. These opportunities are also coupled with controversies that not only challenge the laws within which society functions, but also our ethical and religious beliefs.

Pulses are seeds of leguminous plants used as food. They produce dal rich in protein. The important pulse crops are greengram, blackgram, redgram, bengal gram, soybean, cowpea, peas, lentil and lathyrus. The total area under pulses in India is 29.81 m ha with a production of 25.42 m t and the productivity is 853 kg / ha. Pulses can grow both in rainfed and irrigated conditions.

Being polytocous animal, sow give birth several (8-14) piglets in each farrowing, mother pig find several deficiencies and disorders during gestation, farrowing and postnatal conditions. Prior to birth intrauterine competition amongst the feotus piglets for nutrition and gas exchange is a big stress for abortion. Several infectious and non-infectious causes may hamper proper growth and pathological conditions resulting mortality (15-20%) in piglets than weaner and adults (Sarma, et al, 2012). Several risk factors are also responsible for piglet mortality.

Prenatal factors: Insults during pregnancy can impact a piglet’s ability to survive after birth and regulate their body temperature. Some maternal aspects that affect survability and mortality amongst piglets are prolong farrowing duration more than 4 hours, number of parity of sow, usually first and second parity show high mortality than subsequent parities and also older sow lose more piglets.

An ice cream plant is a highly interconnected operation in which quality, food safety, productivity, maintenance, cost, cold-chain performance, and business results influence one another. This chapter presents plant audits as management tools rather than simple compliance exercises. It provides a structured monthly audit system covering raw materials, production, quality assurance, hygiene, maintenance, productivity, cost control, warehouse operations, cold chain, documentation, and KPI performance. Department-wise scoring enables management to compare performance, identify weaknesses, prioritize corrective actions, and track improvement. The chapter also discusses common audit mistakes and best practices. A disciplined audit system strengthens accountability, reduces losses, improves operational control, and supports continuous improvement.

The International Union for the Protection of New Varieties of Plants (UPOV) based in Geneva, Switzerland and established in 1961 is an intergovernmental organization to provide and promote an effective system of plant variety protection, with the aim of encouraging the development of new varieties of plants, for the benefit of society. For plant breeders' rights to be granted, the new variety must meet four criteria under the rules established by UPOV as discussed earlier also.

When ANOVA indicates significant differences among treatment means, further analysis is required to determine which particular means differ significantly. This chapter deals with post-ANOVA procedures used for detailed comparison of treatment means. It introduces methods such as critical difference, least significant difference, and multiple comparison procedures. Particular attention is given to Scheffé’s method, Newman–Keuls method, and Duncan’s New Multiple Range Test. The chapter explains the principles, calculations, and interpretation of these techniques using forestry examples, including comparisons among tree species and provenances. It also discusses considerations for selecting an appropriate multiple-range or comparison method according to the objectives and number of comparisons involved.

Abstract

Quality of water is a matter of serious concern for arid and semi arid region like Rajasthan. The study area chosen is extreme western arid part of Rajasthan state where water quality and quantity both are very important issues. Due to absence of any perennial river, scanty rainfall and scarcity of surface water resources, ground water is very deep and saline. The groundwater potability assessment was based on 1119 wells water quality data. The purposes of this investigation were (1) to provide an overview of present groundwater quality and (2) to determine spatial distribution of groundwater quality parameters which affect water potability and (3) to map groundwater potability in the study area by using GIS and Geostatistics techniques. Arc GIS 9.3 and Arc GIS Geostatistical Analyst were used for generation of various thematic maps and Arc GIS Spatial Analyst to produce the final groundwater potability map.

I. INTRODUCTORY OUTLINE

The post-Vienna legal phase is remarkably known for revolutionary changes across the global wherein the third generation of human rights became the hallmark for the comity of nations and a liberational instrument to come out of nightmarish experiences of poverty and hunger.1 On the other hand the post-GATTised legal ordering is known for much publicized and debatable conclusion of Trade Related Aspect of Intellectual Property Rights (TRIPs) and creation of World Trade Organisation (WTO).2 This new jurisprudential polemics soon evoked fierce scrutiny from the stand point of human right and poverty among third world countries.3 At home, it is dubbed as ‘bleeding operation with the dubious promise of benign global competition’, ‘de facto nullity of constitutional goal of social welfare’ and ‘contra- constitutional coup.4 Since India has become a member of WTO it indulged into massive rehabilitation and fundamental mutation of IPR regime. Despite the fact that it has a stark distinction of being a grain- surplus and food and livelihood insecure country. An inventory of over forty five million tonnes of wheat and rice in granaries remains ready for consumption. On the other hand over two hundred fifty million people generally go to bed partially hungry every day. There is a near consensus on the need to banish hunger but the realities on the ground remain that even at the risk of raising hopes the goal of food security may not be realized for generations.5 At home under the cover of food security the government is keeping millions of tonnes of food out of reach of the poor people.6 In fact India’s record breaking 200 plus million tonnes harvest is the result of steep fall in purchasing power of poor. The myth of surplus is based on sending hundreds of millions of human being hungry to their beds.7 Taken to its logical end we have abundance of food, surplus of hunger and scarcity of vision under the garb of food security.8