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" Loves and Heartbreaks", it's a Poetry Book, as its name indicates, it's a love and betrayal book in free rhyme, written with the heart, it pretends that the reader feels the emotions and sensations coming from the Author when he wrote it.
This volume brings together papers detailing the latest advances in the field of predictive microbiology in foods presented at the 10th International Conference on Predictive Modelling in Food, held in Córdoba, Spain, in 2016. Predictive microbiology is a scientific area providing mathematical models to predict microbial behaviour in the food environment, providing valuable tools for food risk managers, food scientists and the food industry as a whole. The book introduces the reader to the most used and recognized modelling techniques for food, providing a thorough overview of this discipline and establishing the basis for future investigations. It is presented as a compendium of several high-quality research studies developed across the world, representing a unique contribution to the field as it shows recent discoveries and new trends of modelling in food and risk assessment. The most innovative methods, such as the use of genomic information for risk assessment and the application of quantitative risk assessment technology for foodborne pathogenic microorganisms, are also included here.
Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym’Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered.
This book focuses on the food safety challenges in the vegetable industry from primary production to consumption. It describes existing and innovative quantitative methods that could be applied to the vegetable industry for food safety and quality, and suggests ways in which such methods can be applied for risk assessment. Examples of application of food safety objectives and other risk metrics for microbial risk management in the vegetable industry are presented. The work also introduces readers to new preservation and packaging methods, advanced oxidative processes (AOPs) for disinfection, product shelf-life determination methods, and rapid analytic methods for quality assessment based on chemometrics applications, thus providing a quantitative basis for the most important aspects concerning safety and quality in the vegetable sector.
In recent years, rapid strides have been made in the fields of microbiological aspects of food safety and quality, predictive microbiology and microbial risk assessment, microbiological aspects of food preservation, and novel preservation techniques. Written by the experts and pioneers involved in many of these advances, Microbial Food Safety and P
Risk assessment has been extensively developed in several scientific fields, such as environmental science, economics, and civil engineering, among others. In the aftermath of the SPS and GATT agreements on the use of risk analysis framework in food trade, signed in the 1990s, international organisations and governments adopted risk assessment as a science-based process to ensure food safety along the food chain. The food industry can also benefit from the use of this approach for food process optimisation and quality assurance. Risk Assessment Methods for Biological and Chemical Hazards in Food introduces the reader to quantitative risk assessment methods encompassing general concepts to sp...
Examines the social and economic effects on the migrant Mexican families subjected to forced relocation by the United States during the 1930s.
A patriot. A woman. A revolution. The third novel of the "Morning Glory" series.
Political parties with activists are in decline due to various external shocks. Societal changes, like the emergence of new technologies of communication have diminished the role and number of activists, while party elites increasingly can make do without grassroots activists. However, recent scholarship concerning different democracies has shown how activism still matters for representation. This book contributes to this literature by analyzing the unique case of the Uruguayan Frente Amplio (FA), the only mass-organic, institutionalized leftist party in Latin America. Using thick description, systematic process tracing, and survey research, this case study highlights the value of an organization-centered approach for understanding parties' role in democracy. Within the FA, organizational rules grant activists a significant voice, which imbues activists' participation with a strong sense of efficacy. This book is an excellent resource for scholars and students of Latin America and comparative politics who are interested in political parties and the challenges confronting new democracies.
Microbiological Criteria have been used in food production and the food regulatory context for many years. While the food-specific aspects of microbiological criteria are well understood, the mathematical and statistical aspects are often less well appreciated, which hinders the consistent and appropriate application of microbiological criteria in the food industry. This document has been developed to begin redressing this situation. A particular aim of this document is to illustrate the important mathematical and statistical aspects of microbiological criteria, but with minimal statistical jargon, equations and mathematical details. It is hoped that the resulting document and support materi...