Handbook of Sourdough Microbiota and Fermentation: Food Safety, Health Benefits, and Product Development links the cereal and sourdough-based microorganisms, fermentations and microbial metabolites with food hygiene and safety, functional and health promoting properties, and their potential interest to be employed in the agro-food sector and beyond. Structured in a way that provides the latest findings and most recent approaches and trends on sourdough this book also emphasizes the biotechnological aspects, such as fermentation, food processing and the use of beneficial microorganisms and their metabolites in different ways and in different industries. Written by experts from a multidisciplinary perspective, this book is a remarkable reference to a wide range of audiences with different backgrounds, from academics and researchers in food science, through the industrial food engineers and technicians, food plant managers, new product and processing developers/managers in food packaging and preservation, food hazards, food hygiene and safety, food preservation, food quality control, etc.

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

Reflecting the diverse and profound changes triggered by the latest wave of economic globalization, this book highlights various governance responses at national, regional and global levels. The topics covered are wide-ranging and include economic history and development, European integration, exchange rate arrangements, industrial and labor economics, international cooperation and multilateralism, and public choice. The book is divided into three parts: The first part, which contains contributions by Barry Eichengreen and Marc Flandreau, is devoted to economic history. The second part examines open economy macroeconomics with a focus on Europe, including contributions by Jurgen von Hagen and Paul Krugman. The third part presents contributions to international political economy, and related interdisciplinary topics. This Festschrift is written in honor of Jorge Braga de Macedo, Professor Emeritus of Economics at the Nova School of Business and Economics and a distinguished Portuguese academic whose work has an impressive global reach. The contributions, written by a selection of international authors, deal with his oeuvre covering the wide range of topics broached in this book, as his publication record amply attests.

Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications.

Globalization and Agriculture: Redefining Unequal Development focuses on the development of national agriculture of nine countries in Latin America, Africa, and Asia from two different and complementary angles. One angle is the opportunities created by globalization for agricultural production and how the countries have dealt with the expansion of the world, as a consequence of the world market. The other angle is the social and economic consequences of globalization for agricultural and rural development. The case studies included in this book prove that the contradictory meanings referred above are indeed representative of different facets and features of globalization.

This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.

This book introduces the latest international research in the fields of bioinformatics and computational biology. It includes various studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences, which were selected by an international committee and presented at the 12th International Conference on Practical Applications of Computational Biology & Bioinformatics held in Toledo in June 2018.

Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next-generation sequencing technologies, together with novel and constantly evolving, distinct types of omics data technologies, have created an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information and requires tools from the computational sciences. In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance in boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. The PACBB'17 conference was intended to contribute to this effort and promote this fruitful interaction, with a technical program that included 39 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Further, the conference promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists).

This book aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, bioinformatics, chemoinformatics, and systems biology. The success of bioinformatics in recent years has been prompted by research in molecular biology and molecular medicine in several initiatives. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. The PACBB’23 technical program has selected 9 full papers in the main track and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, APPIA), and the sponsors (AIR Institute).

This book is suitable for researchers and practitioners in biology, medicine and health sciences and bioinformatics. The success of bioinformatics and computational biology in recent years has been driven by research through computational tools and techniques that are essential for data analysis in modern biology and medicine. Systems biology is a related research area that has been replacing the reductionist view that dominated biology research in the last decades, requiring the coordinated efforts of biological researchers with those related to data analysis, mathematical modelling, computer simulation and optimization. The accumulation and exploitation of large-scale databases prompt new computational technology and for research into these issues. In this context, many widely successful computational models and tools used by biologists in these initiatives, such as clustering and classification methods for gene expression data, are based on computer science/ artificial intelligence (CS/AI) techniques. In fact, these methods have been helping in tasks related to knowledge discovery, modelling and optimization tasks, aiming at the development of computational models so that the response of biological complex systems to any perturbation can be predicted. This proceedings of the 16th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB), held in L'Aquila (Italy) from July 13 to 15, 2022, contains ten original contributions of authors from many different countries (Bahrain, Canada, France, Italy, Portugal, Saudi Arabia, Spain, and UK) and different subfields in bioinformatics and computational biology. It is also suitable for artificial intelligence researchers interested in exploring applications in biology and health sciences and computational models.

Reflecting the diverse and profound changes triggered by the latest wave of economic globalization, this book highlights various governance responses at national, regional and global levels. The topics covered are wide-ranging and include economic history and development, European integration, exchange rate arrangements, industrial and labor economics, international cooperation and multilateralism, and public choice. The book is divided into three parts: The first part, which contains contributions by Barry Eichengreen and Marc Flandreau, is devoted to economic history. The second part examines open economy macroeconomics with a focus on Europe, including contributions by Jurgen von Hagen and Paul Krugman. The third part presents contributions to international political economy, and related interdisciplinary topics. This Festschrift is written in honor of Jorge Braga de Macedo, Professor Emeritus of Economics at the Nova School of Business and Economics and a distinguished Portuguese academic whose work has an impressive global reach. The contributions, written by a selection of international authors, deal with his oeuvre covering the wide range of topics broached in this book, as his publication record amply attests.

This book features novel research papers spanning many different subfields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. PACBB'21 expects to contribute to this effort by encouraging a successful collaboration of researchers in different areas related to bioinformatics. The PACBB'21 technical program included 17 papers covering many different subfields in bioinformatics and computational biology. Therefore, this conference, held in Salamanca (Spain), definitely promotes the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions for these challenges.

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

Word Mingas is an encompassing study of oralitures--multilayered cultural knowledge shared through the power of orality--and written literatures by authors from Colombia and other regions in the hemisphere who self-identify as Indigenous. In consequential dialogue with the most recent theories of decoloniality and interculturality, the book weaves and compares two threads of literary critique Rocha Vivas names as oralitegraphies and mirrored visions. The study focuses on texts produced from the early 1990s to the present, and offers productive avenues to discuss, understand, and foster dialogue with the wide array of symbolic-literary systems of the original peoples. Rocha Vivas offers a valuable contribution to the much-needed dialogue on the basic rights of self-representation, self-determination, and the coexistence of multiple systems of representation and identity.