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This work highlights the new challenges facing the French wine industry and the issues that arise from it. Written on the basis of academic work and field studies, conducted by a group of Montpellier academics in Economics and Management Sciences (Groupe Montpellier Vin), this book presents recent and original research results and raises the key issues related to finance, strategy, international management and marketing. Professionals in the sector, academics, students and wine enthusiasts will find up-to-date information, in-depth analyses and above all, an invitation to a stimulating debate on the prospects of this traditional, yet innovative sector.

The book has a dual purpose. The first is to expose a general methodology to solve problems of electromagnetism in geometries constituted of angular regions. The second is to bring the solutions of some canonical problems of fundamental importance in modern electromagnetic engineering with the use of the Wiener-Hopf technique. In particular, the general mathematical methodology is very ingenious and original. It is based on sophisticated and attractive procedures exploiting simple and advanced properties of analytical functions. Once the reader has acquired the methodology, they can easily obtain the solution of the canonical problems reported in the book. The book can be appealing also to readers who are not directly interested in the detailed mathematical methodology and/ or in electromagnetics. In fact the same methodology can be extended to acoustics and elasticity problems. Moreover, the proposed practical problems with their solutions constitute a list of reference solutions and can be of interest in engineering production in the field of radio propagations, electromagnetic compatibility and radar technologies.

This book's aim is to obtain and organize knowledge about the diversity of living things. Their epistomological and methodological fundamentals are explained in the framework of the biology of evolution. The methods of construction and use of phylogenetic trees are presented as well as the classification and description of taxa with the nomenclature rules.

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles of topology, shape and size optimization of structures, and applications of metaheuristic algorithms in solving structural design problems. Analysis of structures using metaheuristic algorithms is also discussed. Comparisons are made with classical methods and modern computational methods through metaheuristic algorithms. The book is designed for senior structural engineering students, graduate students, academicians and practitioners.

The integration and use of information and communication technologies (ICT) in African countries is increasingly observable in various sectors of activity (banking, education, trade, etc.) despite a digital divide still relevant. ICT has become a major sector of the recent growth of a new informal economy in African cities (Cheneau-Loquay, 2008). This question has been at the heart of various international meetings. An overall positive and even utopian momentum is generally heard about the contribution of digital technologies to the development of African states. The adoption or appropriation of digital technologies by Africans is presented in many speeches by politicians or institutions involved in the field of cooperation and international development as an important issue for the development of this continent. These different considerations give rise to reflections on the following themes. - Social Media and Public Space in Africa - Challenges of the digital economy in Africa - ICT and modernization of higher education in Africa

Geographical data often contains imperfections associated with insufficient precision, errors or incompleteness. If these imperfections are not identified, taken into account and controlled when using the data, the potential for errors may arise, leading to significant consequences with unforeseeable effects, particularly in a decisionmaking context. It is then necessary to characterize and model this imperfection, and take it into account throughout the process. In the previous volume, we introduced different approaches for defining, representing and processing imperfections in geographic data. Volume 2 will now present a number of concrete applications in a variety of fields, demonstrating the practical application of the methodology to use cases such as agriculture, natural disaster management, mountain hazards, land management and assistance for the visually impaired.

The last few decades have seen huge developments in the use of concentrated solar power plants, communications technologies (mobile telephony and 5G networks), the nuclear sector with its small modular reactors and concentrated solar power stations. These developments have called for a new generation of heat exchangers. As well as presenting conventional heat exchangers (shell-and-tube and plate heat exchangers), their design techniques and calculation algorithms, Heat Exchangers introduces new-generation compact heat exchangers, including printed circuit heat exchangers, plate-fin heat exchangers, spiral heat exchangers, cross-flow tube-fin heat exchangers, phase-change micro-exchangers, spray coolers, heat pipe heat exchangers and evaporation chambers. This new generation of heat exchangers is currently undergoing a boom, with applications in on-board equipment in aircraft, locomotives, space shuttles and mobile phones, where the volume of the equipment is one of the most important design parameters.

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided.

Developed in collaboration with a training and certification team from Cisco, Computer Network Security is an exploration of the state-of-the-art and good practices in setting up a secure computer system. Concrete examples are offered in each chapter, to help the reader to master the concept and apply the security configuration.This book is intended for students preparing for the CCNA Security Exam (210-260 IINS) ? whether at professional training centers, technical faculties, or training centers associated with the ?Cisco Academy? program. It is also relevant to anyone interested in computer security, be they professionals in this field or users who want to identify the threats and vulnerabilities of a network to ensure better security.

This book aims to provide a better understanding of how human cultures interact with climate change over an extended period of time. It is an analysis of the past and present, ranging from the first human migration to contemporary organizational management using an approach developed by Michel Foucault, defined as: the research, the practice, the experience, by which the subject operates on themselves the transformations necessary in order to have access to the truth. This book consists of two parts. The first part focuses on climate change and the substantial effects it had on the first human cultures. The second part explores the role of organizations and the development of new frameworks for action in more recent times of anthropogenic climate change.

The major innovations which have occurred between the end of the 20th and the beginning of the 21st century represent a fresh challenge to the responsibility of innovators. Innovators have disrupted, and continue to disrupt the world through the growth of technology, DNA sequencing, genetic engineering, the management of large databases, different forms of intrusion into our private lives, etc. It is up to them take full responsibility for their actions, and question what they are accomplishing, why they are accomplishing it, to what end and with what means. Such questionings are those found in a practice conducted by Ancient philosophers: spiritual exercises. These were internal or external discourses, enabling individuals to act, think, to know how to behave and how to master oneself. It is surely toward these practices innovators of today should turn in order to innovate with wisdom.

Cognitive Mechanisms of Learning presents experimental research works on the issue of knowledge acquisition in Cognitive Psychology. These research works - initiated by groups of researchers with academic backgrounds in Philosophy, Psychology, Linguistics and Artificial Intelligence - explore learning mechanisms by viewing humans as information processing systems. Although the book is centered on research studies conducted in a laboratory, one chapter is dedicated to applied research studies, derived directly from the fundamental research works. Computer modeling of learning mechanisms is presented, based on the concept of �cognitive architecture�. Three important issues - �the methodology�, �the achievements� and �the evolution� - in the field of learning research are also examined.

The book explores, discusses, and considers new and innovative perspectives on the crossings, interactions, and transformations of non-formal, informal learning, and formal learning within or prior to FADS and Internship. The contributions provide a wider perspective on the alternating Final Architectural Design Studios and Internship programs as interfaces and interaction zones among different learning experiences that lead to professional and intellectual qualification.

The ambition of this book is to propose a grid of reading able to illuminate the current HR transformations experienced by the big historical international companies of the sector of the tourism, carried away by what is known as the "3rd tourist revolution ". The latter is characterized by the combination of three main phenomena: internationalization, digitalization and hyper-personalization that refound the employment relationship between employers, unions and employees. Internationalization requires a renewal of business models heckled by the low-cost strategies of new operators provoking social reactions to the extent of perceived psychological disruptions, to question the validity of these same strategies. Digitization has opened the way to the disintermediation at the origin of the evolution of the trades front and back office. Finally, hyper-personalization and adaptation to new client behaviors justify the hegemony of soft skills for a redefined hospitality. In the end, the employee must constantly deal with often paradoxical injunctions (example: standardization of service protocols versus empowerment). A focus will be made on two specific branches: hotels and air transport which will each be part of a part. The topic will be illustrated by case studies and testimonials. The two coordinators of the book will draw on the contributions of researchers who collaborate with them in the framework of an international research program they pilot.

Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies such as artificial intelligence, as well as current societal needs - sustainable development, climate change, renewable energy, the environment - are developments that must be taken into account in industrial renewal. Process Engineering Renewal 3 presents a prospective analysis that demonstrates the significant disruptions linked to sustainable development, global warming, etc. These constraints may trigger changes in the social regulation system, which in turn applies pressure on actors of process engineering to evolve and adapt to these developments.

This comprehensive scientific work embraces, within the generic theme of "educations, territorialities and territories", the vast majority of different facets of the complex relationships between educations and territories that have developed over time. It sheds an original light on the many - and, for some, new - interactions between territories-territories, on the one hand, and educations, on the other hand, which have recently been identified and analyzed. Beyond this main objective, it contributes to improving the fine and differentiated understanding of the concept of territory in the sciences of education and training and, more importantly, it brings innovative developments to the still embryonic theorization of the complex relations between educations. and territories-territorialities. This book shows, in particular, through its surveys, its analyzes and its results, that within all the multiple influences attributed to the different dimensions of the territories, the very discrete territoriality - falling within the symbolic territory - is perhaps finally the the most important territorial vector in terms of education in certain areas (rural Montagnards, for example), particularly as regards educational and vocational guidance, but not only. Lastly, it is not uninteresting to note that the theme it bears is spreading more and more today beyond scientific circles: the problem of inequalities in education and orientation of territorial origin is fueling - recently - the controversies and the reflections of the French educational policy which is thus sometimes echoed - in declarative terms essentially for the moment! - scientific advances in this area

The emergence of a true systemic science - the systemic one - capable of rigorously addressing the many problems posed by the design and management of the evolution of modern complex systems is therefore urgently needed if wants to be able to provide satisfactory answers to the many profoundly systemic challenges that humanity will have to face at the dawn of the third millennium. This emergence is of course not easy because one can easily understand that the development of the systemic is mechanically confronted with all the classical disciplines which can all pretend to bring part of the explanations necessary to the understanding of a system and which do not naturally see a good eye a new discipline claim to encompass them in a holistic approach ... The book of Jacques Printz is therefore an extremely important contribution to this new emerging scientific and technical discipline: it is indeed first of all one of the very few "serious" works published in French and offering a good introduction to the systemic. It gives an extremely broad vision of this field, taking a thread given by the architecture of systems, in other words by the part of the systemic that is interested in the structure of systems and their design processes, which allows everyone to fully understand the issues and issues of the systemic. We can only encourage the reader to draw all the quintessence of the masterful work of Jacques Printz which mixes historical reminders explaining how the systemic emerged, introduction to key concepts of the systemic and practical examples to understand the nature and the scope of the ideas introduced.

This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages. This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a cross-section of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis- providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications.

This book, presented in three volumes, examines �environmental� disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.

This book, presented in three volumes, examines �environmental� disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.

Methods of diagnosis and prognosis play a key role in the reliability and safety of industrial systems. Failure diagnosis requires the use of suitable sensors, which provide signals that are processed to monitor features (health indicators) for defects. These features are required to distinguish between operating states, in order to inform the operator of the severity level, or even the type, of a failure. Prognosis is defined as the estimation of a system�s lifespan, including how long remains and how long has passed. It also encompasses the prediction of impending failures. This is a challenge that many researchers are currently trying to address. Electrical Systems, a book in two volumes, informs readers of the theoretical solutions to this problem, and the results obtained in several laboratories in France, Spain and further afield. To this end, many researchers from the scientific community have contributed to this book to share their research results.

This book, presented in three volumes, examines �environmental� disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.

This book is devoted to the system analysis of statistical experiments, determined by the averaged sums of sampling random variables. The dynamics of statistical experiments are given by difference stochastic equations with a speci?ed regression function of increments - linear or nonlinear. The statistical experiments are studied by the sample volume increasing (N ), as well as in discrete-continuous time by the number of stages increasing (k ) for different conditions imposed on the regression function of increments. The proofs of limit theorems employ modern methods for the operator and martingale characterization of Markov processes, including singular perturbation methods. Furthermore, they justify the representation of a stationary Gaussian statistical experiment with the Markov property, as a stochastic difference equation solution, applying the theorem of normal correlation. The statistical hypotheses verification problem is formulated in the classification of evolutionary processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical experiments.

The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata - supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.

Location-based Marketing outlines the main concepts, methods and strategies for implementing spatial marketing, also known as geomarketing. With an emphasis on the value of mapping in marketing decision-making, this book demonstrates the importance of a more spatialized view of these decisions, in order to best respond to market realities ' whether local or international. The main techniques of geomarketing are presented along with an understanding of the spatial behavior of consumers, both outside the point of sale and in stores. The book further introduces the idea of a "geomarketing mix", which spatializes product innovations, merchandising, pricing and various aspects of promotion. Finally, the book defines what real georetailing comprises and develops the concept of mobile marketing based on geolocation techniques.