Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.
Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer's silicon test tube, there is need for precise and computable process descriptions. The scienti?c ?elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef?cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model's complexity and the number of data points used for the computations. Therefore, computational scientists tend to ?ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing.
A Sea Change in a Changing Sea The oceans, seas and coastal areas encompass over 70% of the earth's surface. They are a critical driver of the earth's hydrologic cycle and climate system, important for c- merce, transport, and tourism, a source of economically important living marine resources, minerals such as hydrocarbons, as well as new pharmaceutical compounds. The marine environment provides essential habitats for thousands of marine living 1 2 resources, which in turn contribute significantly to global food security, employment, 3 and trade. Overall, the sea's contribution to human welfare, in terms of market and non-market resources and environmental services, has been estimated at US$21 trillion/year (Costanza, 2000). However, despite the importance of the ocean realm to humans, there is a growing sense that human impacts are destabilizing this system. Some experts believe that current fishing levels are approaching or exceeding the total 4 productivity of the ocean ecosystem (National Research Council, 1999).
Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical sciences, and are rarely thought to be driven by food science. Consequently, there is a dearth of statistical methods aimed specifically at food science, forcing researchers to utilize methods intended for other disciplines. The objective of this Brief will be to highlight the most needed and relevant statistical methods in food science and thus eliminate the need to learn about these methods from other fields. All methods and their applications will be illustrated with examples from research literature. ?
Plant phenotyping is the thorough assessment of plant traits such as growth, development, adaptation, yield, quality, tolerance, resistance, architecture, and the basic measurement of individual quantitative parameters that form the basis for understanding of traits. Genetic approaches to understand plant growth and development have always benefitted from phenotyping techniques that are simple, rapid and measurable in units. The forward genetics approach is all about understanding the trait inheritance using the phenotypic data and in most cases it is the mutant phenotypes that formed the basis for understanding of gene functions. With rapid advancement of genotyping techniques, high throughput genotyping has become a reality at costs people never imagined to be that low, but the phenotypic methods did not receive same attention. However, without quality phenotyping data the genotyping data cannot be effectively put to use in plant improvement. Therefore efforts are underwayto develop high-throughput phenotyping methods in plants to keep pace with revolutionary advancement in genotyping techniques to enhance the efficiency of crop improvement programs. Keeping this in mind, we described in this book the best phenomic tools available for trait improvement in some of the world's most important crop plants.
This volume examines Lebanon's post-2011 security dilemmas and the tenuous civil-military relations. The Syrian civil war has strained the Lebanese Armed Forces' (LAF) cohesion and threatens its neutrality - its most valued assets in a divided society. The spill-over from the Syrian civil war and Hezbollah's military engagement has magnified the security challenges facing the Army, making it a target. Massive foreign grants have sought to strengthen its military capability, stabilize the country and contain the Syria crisis. However, as this volume demonstrates, the real weakness of the LAF is not its lack of sophisticated armoury, but the fragile civil-military relations that compromise its fighting power, cripple its neutrality and expose it to accusations of partisanship and political bias. This testifies to both the importance of and the challenges facing multi-confessional armies in deeply divided countries.
This book is the first book-length study to explore the sartorial politics of identity in the literature of the South Asian diaspora in Britain. Using fashion and dress as the main focus of analysis, and linking them with a myriad of identity concerns, the book takes the reader on a journey from the eighteenth century to the new millennium, from early travel account by South Asian writers to contemporary British-Asian fictions. Besides sartorial readings of other key authors and texts, the book provides an in-depth exploration of Kamala Markandaya's The Nowhere Man (1972), Hanif Kureishi's The Buddha of Suburbia (1990), Meera Syal's Life Isn't All Ha Ha Hee Hee (1999) and Monica Ali's Brick Lane (2003).This work examines what an analysis of dress contributes to the interpretation of the featured texts, their contexts and identity politics, but it also considers what literature has added to past and present discussions on the South Asian dressed body in Britain. Endowed with an interdisciplinary emphasis, the book is of interest to students and academics in a variety of fields, including literary criticism, socio-cultural studies and fashion theory.
This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.
This volume features scholars who use a critical geography framework to analyze how constructions of social space shape education reform. In particular, they situate their work in present-day neoliberal policies that are pushing responsibility for economic and social welfare, as well as education policy and practice, out of federal and into more local entities. States, cities, and school boards are being given more responsibility and power in determining curriculum content and standards, accompanied by increasing privatization of public education through the rise of charter schools and for-profit organizations' incursion into managing schools. Given these pressures, critical geography's unique approach to spatial constructions of schools is crucially important. Reterritorialization and deterritorialization, or the varying flows of people and capital across space and time, are highlighted to understand spatial forces operating on such things as schools, communities, people, and culture. Authors from multiple fields of study contribute to this book's examination of how social, political, and historical dimensions of spatial forces, especially racial/ethnic and other markers of difference, shape are shaped by processes and outcomes of school reform.
