eChapters

1. Introduction

Bisphosphonates are frequently utilized in treating osteoporosis and cancer induced bone metastases, but they carry the risk of inducing a severe complication known as osteonecrosis of the jaw (ONJ). ONJ manifests as exposed bone in the craniofacial area and persists for over eight weeks in patients who are currently or previously treated with bisphosphonates. Many novel antiresorptive tyrosine kinases, mammalian targets of rapamycin, monoclonal antibodies, and immunosuppressant drugs have been discovered since BRONJ was first identified in 2003 and linked to ONJ (Akita et al., 2020). Current ideas include the prevention of angiogenesis and suppression of bone remodeling, gingival inflammation, gingival fibroblast dysfunction, and compromised immunological function. Wound healing mechanisms may play a role in most instances of ONJ, which occur after dental procedures, such as tooth extraction. In addition to surgical treatment for bone lesions, complementary therapies such as laser therapy, ozone therapy, and the administration of platelet concentrates in solid and liquid forms might help prevent ONJ and promote recovery (Gaurav Kumar et al., 2017; Hampton et al., 2015). Formation of new blood vessels is critical for the initiation and maintenance of wound healing.

Analysis of Symptoms

Symptoms are deviation from a state of health perceptible to by the patient, people around and the doctor/veterinarian. Symptoms can be physical and mental. Symptoms narrated by the patients are subjective and observed by the doctor / veterinarian are objective. Animals lack subjective symptoms. The word analysis means “careful examination of the different parts or details of something.” According to Castro “The act of resolving or reducing or breaking the whole in to pieces or groups is called analysis”. When analyzing a case, the value of symptoms is taken in to consideration on several points such as personality, and categories of symptoms as subjective, objective, general, common and uncommon symptoms. Symptom analysis gives an opportunity to learn when the symptoms developed, the feeling that those circumstances evoked the symptoms, and the ways in which those symptoms may have served some useful purpose to the patient. The main purpose of analysis is to identify the prescribing symptom in the given case.

Analytical testing provides objective evidence of the composition, safety, physical structure, and sensory quality of ice cream. This chapter introduces the major analytical approaches used in industrial ice cream manufacturing, including chemical, physical, microbiological, and sensory evaluation. Important parameters such as fat, milk solids-not-fat, protein, sugars, ash, acidity, pH, overrun, meltdown, fat destabilization, texture, and product weight are discussed. The chapter explains how different tests support routine quality control, product development, troubleshooting, research, regulatory compliance, and shelf-life studies. It emphasizes that no single analytical parameter can define overall quality. Effective product evaluation requires integrated interpretation of chemical, physical, sensory, microbiological, and storage data.

Carbohydrates are widely prevalent in the plant kingdom, comprising the mono, di-, oligo-, and polysaccharides. The common monosaccharides are glucose, fructose, galactose, ribose etc. The disaccharides, i.e., the combination of two monosaccharides include sucrose, lactose and maltose. Starch and cellulose are polysaccharides consisting of many monosaccharide residues. Cellulose is the most abundant organic compound on this planet since it forms part of the cell wall in plants.

Aldehydes (–CHO) and ketones (= CO) are active groups in carbohydrates. Carbohydrates contain many hydroxyl groups as well. The number of hydroxyl groups varies with the number of carbon atoms. Monosaccharides contain the free aldehyde or ketone group. Some disaccharides have the free aldehyde group (maltose) and some do not have the free ones (sucrose). The polysaccharides, starch and cellulose, are polymers of monosaccharides linked through the active groups. The chemical properties of saccharides vary depending upon the number of hydroxyl groups and the presence or absence of –CHO/= CO groups. These variations are the basis in the development of colour reactions to identify the saccharides. Some simple tests used to identify the presence/absence of certain saccharides are listed below:

Introduction

Ammonia is the major end product in the breakdown of proteins in fish. Fish digest the protein in their feed and excrete ammonia through their gills and in their faces. The amount of ammonia excreted by fish varies with the amount of feed put into the pond or culture system – increasing as feeding rates increase. Ammonia also enters the pond from bacterial decomposition of organic matter such as uneaten feed or dead algae and aquatic plants.

Introduction

Data collection, compilation and analysis of Aquaculture data has a major role to play in Aquaculture research. The time spent in collecting, compiling, analysing statistical data and taking appropriate timely action creates a gap in aquaculture. Therefore timely action is very much essential. This gap can be reduced by taking help of computers in collection, compilation and analysis of statistical data which will save time as well as manpower and will help in taking appropriate action in appropriate time. Electronic spreadsheet has a major role to play in this context even if the user is having little or no programming knowledge. The most widely used office automation package is one of the components which consists of spreadsheet application, in which accounting, balance sheet calculations, statistical data analysis, graphical presentations, etc. are possible with few key strokes and mouse operation only. EXCEL has several capabilities which include opening of a workbook; entering and editing data; building formulas to calculate values; managing list of data; formatting data; creating a chart; saving a workbook; opening and saving files from other spreadsheets; linking documents from other spreadsheets, data analysis, etc.

Introduction

A recent study investigated the feasibility of sustaining current and increased per capita fish consumption rates in 2050, based on extensive data with respect to the changes in global and regional climate, marine ecosystem and fisheries production estimates, human population estimates, fishmeal and oil price estimations and projections of the technological advancement in aquaculture technology. The study concludes that meeting current and larger consumption rates is feasible only if fish resources are managed sustainably and fisheries management are effective (1). Aquaculture Farm Managers facing uncertainty has to make decisions every day. Some decisions have vital consequences for farm business, while others are not as crucial. These decisions mainly relates to seed, feed, fertilisers and regular water intake as management tools of farm. The choices made today may have an immediate impact on the aquaculture business or may take much longer to have an effect. These decisions may involve any facet of the farm business, including production, personnel or financing. The bottom line is that irrespective of the size or scope of any single decision, nearly all decisions may have important implications for the immediate and future success of the farm business. Because many decisions have such important impacts, farm managers need to analyze alternatives in a methodical fashion. Some alternatives can easily be analyzed, and a decision can be made quickly. In other cases, farm managers must take more time to recognize and evaluate all potential effects of that decision. To do this, farm managers need a framework for analyzing the relevant trade-offs. Agricultural economists are usually members of multidisciplinary teams, engaged in solving problems of fisheries. The economist applies economic concepts and tools to estimate economic profitability of a technology. This input can be made during any phase of the research process, technology development, testing and evaluation on farm. This paper will focus on partial budgeting as a tool that can be used by non-economists. This paper discusses on the concept of partial budgeting, a useful and easily implementable framework for such analysis.

6.1. Introduction

This chapter deals with the sample survey conducted on cotton, turmeric and castor seed farmers and recorded various benefits observed by them by using Futures market as a platform for price information. Further, it tries to examine the price discovery efficiency of commodity futures market with the help of secondary data.

It is often believed that future price is a forecast of the price of a commodity during the maturity month of its futures contracts. It is far from true. The futures price of a commodity traded at an exchange market is not so much determined by the anticipated supply of and demand for that commodity in the maturity month of its futures contracts as by the cost of carrying the commodity till the maturity of such contract. That means the spot and future prices of any commodity are always determined by the same basic forces of the present and prospective demand and supply. The difference between the two prices represents merely the cost of carrying the commodity from the present to the future. Such cost may be positive or negative depending on whether the current (not the future) supplies are abundant or scarce respectively when the price of futures contracts of any commodity is in reality relied upon by the physical market functionaries in that commodity as a “reference” price for executing their forward transactions in either the domestic or export market, that price may deem to be “discovered” in the true sense. The application of such reference price for transacting a forward transaction in the physical market in that commodity, in fact facilitates the use of the same future contract for managing price risk for such forward transaction. Hence, the price discovery and price risk management are the two sides of the same coin and efficiency of price discovery is directly related to the price risk management. A commodity exchange or a derivative market is not a mechanism for controlling prices. An efficient futures market is one that discovers prices and provides effective mechanism for managing price risk arising from unavoidable price variations owing to shifts in demand and supply schedule. Prices are determined by the basic demand and supply forces and not the market. Markets reflect the supply and demand conditions from time to time through variation in prices.

Sample Preparation

 Cheese sample is prepared by passing through 8 mesh sieve three times or

grate sample and mix thoroughly or grind to a uniform mass in a glass pestle

and mortar. Keep the sample in an airtight container until the time of analysis.

 1 Determination of Moisture Content in Cheese

 Introduction

The moisture content of cheese is defined as the loss in mass, expressed as a

percentage by mass when the product is heated in a hot air oven at 102 ± 2°C

to constant mass.

Setting

The basic difference which dovetails most of the animal breeding experiments is the unbalancedness of the data collated with respect to factorial classes thereby making non-orthogonal nature of the effects involved ubiquitous. Henderson, C.R. (1953), through a series of seminal works dealt with these types of data and came out with three distinct methods to estimate the variance components emanating out of such non-orthogonal animal experiment data. Before discussing those methods, let us delve a bit on the challenges in estimating the variance components in animal breeding data. There are two major reasons, first, several methods of estimation are available (most of which are reduced to the analysis of variance method for balanced data), but not one of them has yet been clearly established as superior to the others. Second, all the methods involve relatively cumbersome algebra; discussion of unbalanced data can therefore easily deteriorate into a welter of symbols, a situation which functions as the anti-appetizer to applied researchers.

A safe starting point towards understanding the nuances of dealing with unbalanced data could be the paper by Henderson (1953) which is quite seminal in nature. The methods described have been often referred to as the gold standard in the area of estimating variance components from unbalanced data for many years to come. Of the three, method 1 is simply an analogue of the analysis of variance method used with balanced data and method 2 is used to correct a deficiency of method 1 that arises out of mixed models and the last one is quite different and involves the method of fitting constants so often used in fixed effects models. Let us see these methods in a bit more detail in the ensuing passages.

This is an extension of the analysis of variance to cover the case where observations are taken on more than one variable from each experimental unit. Interest, however, centres on one of these (y, called the dependent variable) and the question is whether the variation of the dependent variable over the classes is due to class effects or due to its dependence on the other variables, (x’s, called the independent or concomitant variables ), which also vary from class to class. The analysis of covariance controls the experimental error by taking ito consideration the dependence of y on x.

ABSTRACT

Women are vital human resources and play a significant role in agricultural and allied sectors undertaking both on-farm and off- farm activities. Yet their contribution has not been recognized and they are considered as invisible workers. Considering this, the present study has been conducted to analysis the constraints faced by farm women in agriculture and allied sectors. A total of 100 farm women were selected as respondents through proportionate random sampling. The selected respondents were interviewed personally using pre-tested well structured interview schedule. The finding showed that the major constraints that farm women faced were limited access to productive resources like land, credit, input, extension services, storage and technical assistance, their absence from decision-making process, less wages and their illiteracy also hindered their progress. Women perform all un-mechanized agricultural tasks and perform multiple tasks, which add more burden to them.

Q.1 Analysis of covariance is an extension of ANOVA.

Q.2 In an ANCOVA technique, observations are taken on more than one variable from each experimental unit.

Analysis of Covariance (ANCOVA) combines features of analysis of variance and regression analysis to account for the influence of a concomitant or covariate variable. In forestry and horticultural experiments, initial measurements or other associated characteristics may influence the response variable and contribute to experimental variation. This chapter explains how treatment effects can be evaluated after adjusting for the linear relationship with a covariate. It presents the ANCOVA framework, calculation of sums of squares, regression coefficients, adjusted error and treatment variation, F-tests, and adjusted treatment means. Examples involving seedling growth and physiological responses demonstrate how covariance adjustment can provide more precise comparisons among treatments.

Background

Analysing changes in the cropping patterns is an important prerequisite for optimization and evaluation of water use efficiency and water resource management. Cropping pattern changes in India could not only be seen as resulting from the pursuit for higher economic returns, but also as a feedback response to limited water resources. Although a systematic framework is still needed for future cropping pattern planning in the country by taking food security, continued agricultural expansion and other constraints into consideration, the existing cropping pattern may provide an insight with which alternative cropping patter may be proposed for a right intervention in enhancing water productivity and food security.

This chapter reports the analysis of the data collected from Phase One and Phase Two of the research .The chapter is organized in three sections. The first section presents the analysis of the data collected in the first phase through the administration of the survey questionnaire (Appendix-I). It deals with a study of the potential of Internet as a communication tool through an account of the Internet usage habits of the two cities followed by a presentation of their perception, attitudes and internet adoption among the people.

Introduction

The minimum dissolved oxygen (DO) level that fish can safely tolerate depends upon temperature and to a certain extent the species. Volubility of oxygen increases as temperature decreases. In ponds, DO can change dramatically over a 24-hour period. During the day oxygen is produced by photosynthesis, the process by which green plants convert water and carbon dioxide in the presence of light, to oxygen and carbohydrates. During the night and day oxygen is consumed by respiration, the process by which plants and animals use oxygen to produce carbon dioxide as they burn carbohydrates, but in the day photosynthesis usually produces more oxygen than is used.

Sample Preparation

Sample should be taken at six or more points on the top of the surface by means of a tubular trier of sufficient length to extend to the bottom of the barrel. Remove this cores and transfer to clean, dry, air tight container and seal immediately.

Before opening sample for analysis, make homogenous either by shaking or by alternately rolling and inverting container. If lump are present, sift sample through No 20 sieve, rubbing material through sieve and tapping vigorously, if necessary.

Avoid sampling on rainy day or when humidity is high, so as to reduce moisture absorption from air.

1 Determination of Moisture Content by Moisture Balance Introduction

In this procedure, infra-red radiation is used to accomplish rapid drying. The tester has a sensitive torsion balance which permits rapid determination directly from the balance scale, eliminating the need for computing or calculation to obtain results. This method is useful for the in-process determination of moisture because the results may be obtained in minutes.