Progresses in Ammonia: Science, Technology and Membranes: Production and Separation covers the production and separation of ammonia. The book includes various kind of membranes (such as composite and membrane based systems, ceramic membrane cells, oxygen conducting membrane), membrane systems (such as membrane reactors, membrane distillation, immobilized cyanobacteria in membranes, using hydrophobic membranes, fuel cell technology, electrode membrane, etc.).

Progresses in Ammonia: Science, Technology and Membranes: Production, Recovery, Purification and Storage is a collection of various chapters concerning the aspects of Ammonia synthesis (Haber-Bosch process, Electrochemical synthesis, Thermal coupling, etc.), production (Photocatalytic from amino acid-based biomass, Small-scale renewable-powered, etc.), Recovery (from wastewater and radioactive wastewater, etc.), storage and transportation (handling, shipping), and also others such as Ammonia detection and measurement, Ammonia: emission, atmospheric transport and deposition, Ammonia absorption into alkaline earth metal halide mixtures, and Ammonia and conventional engine fuels.

Progresses in Ammonia: science, technology and membranes-Applications and use coversvarious ammonia applicatins such as in sensors and devices, in dyes and cleaning, in cooling systems, in desalination, in anaerobic digestion, in terrestrial vegetation, in fabric, textile and leather products, in metals heat-treating, in acid deposition, in carbon dioxide capture, in the hydrogen production, storage and generation.

Advances in Natural Gas: Formation, Processing, and Applications is a comprehensive eight-volume set of books that discusses in detail the theoretical basics and practical methods of various aspects of natural gas from exploration and extraction, to synthesizing, processing and purifying, producing valuable chemicals and energy. The volumes introduce transportation and storage challenges as well as hydrates formation, extraction, and prevention. Volume 2 titled Natural Gas Sweetening introduces in detail different natural gas sweetening methods. The book covers absorption with different solvents such as alkalis, amin blends, ionic liquids, etc. which is one of the important sweetening techniques, as well as natural gas sweetening with adsorption-based technologies utilizing various materials including zeolites, carbonaceous sorbents, metal oxides, etc. Is also discusses membrane-based processes with various types (such as ionic liquid, polymeric, MOF mixed matrix, dense metal membranes) and includes novel technologies for sweetening natural gas by using plasma and supersonic separators.

Advances in Natural Gas: Formation, Processing, and Applications is a comprehensive eight-volume set of books that discusses in detail the theoretical basics and practical methods of various aspects of natural gas from exploration and extraction, to synthesizing, processing and purifying, producing valuable chemicals and energy. The volumes introduce transportation and storage challenges as well as hydrates formation, extraction, and prevention. Volume 3: Natural Gas Hydrates introduces different fundamental aspects of natural gas hydrates with related environmental challenges and economic assessment. The book describes in detail hydrate structures, physio-chemical properties and thermodynamics as well as hydrate growth theories and its dissociation methods. It also covers natural gas hydrates formation in pipelines, as one of the important challenges, accompanied with prevention techniques and discusses natural gas hydrates discovery and extraction from permafrost and oceans.

Advances in Natural Gas: Formation, Processing, and Applications is a comprehensive eight-volume set of books that discusses in detail the theoretical basics and practical methods of various aspects of natural gas from exploration and extraction, to synthesizing, processing and purifying, producing valuable chemicals and energy. The volumes introduce transportation and storage challenges as well as hydrates formation, extraction, and prevention. Volume 4 titled Natural Gas Dehydration introduces in detail different natural gas dehydration methods. The book covers absorption with different solvents such as glycols, ionic liquids, and DES which is one of the important dehydration techniques, as well as natural gas dehydration with adsorption-based technologies utilizing various materials including zeolites, carbonaceous sorbents, metal oxides, etc. It discusses in detail membrane-based processes with various types (such as hollow-fiber, polymeric, zeolite membranes) and includes novel technologies for sweetening natural gas by using direct cooling and compression, supersonic technology and micro-reactors.

Advances in Natural Gas: Formation, Processing, and Applications is a comprehensive eight-volume set of books that discusses in detail the theoretical basics and practical methods of various aspects of natural gas from exploration and extraction, to synthesizing, processing and purifying, producing valuable chemicals and energy. The volumes introduce transportation and storage challenges as well as hydrates formation, extraction, and prevention. Volume 5 titled Natural Gas Impurities and Condensates Removal comprehensively discusses the characteristics and properties of natural gas condensates and dehydrated non-acidic impurities. The book describes related environmental challenges, removal standards, policies and regulations as well as economic assessment. It covers particulates (such as aerosols, arsenic, etc.) and condensates removal techniques from natural gas as well as mercury, nitrogen and helium removal from natural gas by absorption, adsorption and membrane-based processes.

Since its independence in 1991 Tajikistan has suffered a painful series of political crises followed by a civil war, still continuing, whose repercussions extend far beyond its borders. This work examines the causes of the turmoil, and analyses, through the case of Tajikistan, social and political dynamics at work throughout Central Asia. The book is the work of eleven Central Asian experts from different disciplinary backgrounds, and provides new insight into questions as varied as clan and local identity, the political construction of ethnicity and the role of peacekeeping forces.

Since its independence in 1991, Tajikstan has suffered a series of political crises followed by a civil war, whose repercussions extend far beyond its borders. This work examines the causes of the turmoil, and analyzes, through the case of Tajikstan, social and political dynamics at work through Central Asia. It offers insight into questions as varied as clan and local identity, the political construction of ethnicity and the role of peacekeeping forces. The first part deals with the difficulty of building a national identity. It traces the slow and incomplete creation of Tajikstan during the Soviet period, assesses "perestroika's" unsettling effect on local power balances, and discusses the struggle between the old oligarchy and the new elites which have tried to emerge since independence. The second part deals with foreign influences on the conflict, with studies of the roles of Russia, Afghanistan, Pakistan, Iran and Uzbekistan, as well as the potential impact of the conflict on the stability of the rest of Central Asia. The third part examines the traumatic humanitarian and human rights consequences of Tajikstan's fall from the tightrope of post-Soviet transition.

This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLA's parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.

Advances in Natural Gas: Formation, Processing, and Applications is a comprehensive eight-volume set of books that discusses in detail the theoretical basics and practical methods of various aspects of natural gas from exploration and extraction, to synthesizing, processing and purifying, producing valuable chemicals and energy. The volumes introduce transportation and storage challenges as well as hydrates formation, extraction, and prevention Volume 7 titled Natural Gas Products and Uses comprehensively discusses natural gas conversion and applications for producing high-value chemicals and energy which are accompanied with related environmental challenges and economic analysis. The book covers various methods for producing valuable materials such as synthesis and fuel gases, alkanes, aromatics, sulphurs, etc. and introduces power and electricity generation as well as heat production from natural gas and their applications on future energy systems.

Advances in Natural Gas: Formation, Processing, and Applications is a comprehensive eight-volume set of books that discusses in detail the theoretical basics and practical methods of various aspects of natural gas from exploration and extraction, to synthesizing, processing and purifying, producing valuable chemicals and energy. The volumes introduce transportation and storage challenges as well as hydrates formation, extraction, and prevention. Volume 6 titled Natural Gas Transportation and Storage is separated into three sections. The first section discusses different natural gas transportation technologies (such as LNG, CNG, ANG, GTS, etc.). The second section introduces related apparatus for natural gas transportation and storage, including measurement systems, compressors, pumps, etc.as well as pipelines and controlling equipment. The last section explains challenges of natural gas transmission including inhibition of pipeline corrosion, cracking and wax deposition accompanied with pipeline cleaning challenges.

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits * Presents the latest advances in learning automata-based optimization approaches. * Addresses the memetic models of learning automata for solving NP-hard problems. * Discusses the application of learning automata for behavior control in evolutionary computation in detail. * Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.

Precision farming, site infrastructure assessment, hydrologic monitoring, and environmental investigations a " these are just a few current and potential uses of near-surface geophysical methods in agriculture. Responding to the growing demand for this technology, the Handbook of Agricultural Geophysics supplies a clear, concise overview of near-surface geophysical methods that can be used in agriculture and provides detailed descriptions of situations in which these techniques have been employed.

Electromagnetics is too important in too many fields for knowledge to be gathered on the fly. Knowing how to apply theoretical principles to the solutions of real engineering problems and the development of new technologies and solutions is critical. Engineering Electromagnetics: Applications provides such an understanding, demonstrating how to apply the underlying physical concepts within the particular context of the problem at hand. Comprising chapters drawn from the critically acclaimed Handbook of Engineering Electromagnetics, this book supplies a focused treatment covering radar, wireless, satellite, and optical communication technologies. It also introduces various numerical techniques for computer-aided solutions to complex problems, emerging problems in biomedical applications, and techniques for measuring the biological properties of materials. Here is what the critics have to say about the original work, Concerned with a number of important electromagnetic applications, the bio-electromagnetics chapters are particularly well equipped with references. currently have a need to address, have certainly been valuable to me. This book will therefore provide a useful resource for many engineers working in applied electromagnetics, particularly those in the early stages of their careers. - Alastair R. Ruddle, The IEE Online. The book] is a tour of practical electromagnetics written by industry experts, it fills a niche covering many industrial electromagnetic applications. Overall Dr. Bansal's handbook is a very useful and well-written compendium. - Alfy Riddle, IEEE Microwave Magazine. Engineering Electromagnetics: Applications shares the broad experiences of leading experts regarding modern problems in electromagnetics.

This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLA's parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits * Presents the latest advances in learning automata-based optimization approaches. * Addresses the memetic models of learning automata for solving NP-hard problems. * Discusses the application of learning automata for behavior control in evolutionary computation in detail. * Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.

This contributed volume explores and reveals the dynamics, strengths and weaknesses, trends and implications of entrepreneurship in the Middle East and North Africa (MENA) region. Presenting papers by respected experts in the field, it shares essential insights on the status quo of entrepreneurship and the opportunities and threats it faces in the MENA region. Topics range from development of entrepreneurial universities to international entrepreneurship, as well as emergent topics such as green entrepreneurship, sustainable entrepreneurship and youth entrepreneurship.

Based on the 4th Seminar on Algebra and its Applications organized by the University of Mohaghegh Ardabili, this volume highlights recent developments and trends in algebra and its applications. Selected and peer reviewed, the contributions in this volume cover areas that have flourished in the last few decades, including homological algebra, combinatorial algebra, module theory and linear algebra over rings, multiplicative ideal theory, and integer-valued polynomials. Held biennially since 2010, SAA introduces Iranian faculty and graduate students to important ideas in the mainstream of algebra and opens channels of communication between Iranian mathematicians and algebraists from around the globe to facilitate collaborative research. Ideal for graduate students and researchers in the field, these proceedings present the best of the seminar's research achievements and new contributions to the field.

This book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks' evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of social networks. Here, the research areas related to learning and social networks are addressed from bibliometric and network analysis perspectives. In turn, the second part of the book highlights a range of LA-based applications addressing social network problems, from network sampling, community detection, link prediction, and trust management, to recommender systems and finally influence maximization. Given its scope, the book offers a valuable guide for all researchers whose work involves reinforcement learning, social networks and/or artificial intelligence.

This contributed volume explores and reveals the new developments, dynamics and recommendations for entrepreneurship education in the Middle East and North Africa (MENA) region. Presenting papers by respected experts in the field, it shares essential insights on the status quo of entrepreneurial education and training programs, the characteristics and motivations of early stage entrepreneurs, and the regional framework conditions in MENA. The book closes with a bibliometric perspective on the trends in the entrepreneurship research and education being developed in MENA.

This book constitutes the refereed proceedings of the 21st Brazilian Symposium on Formal Methods, SBMF 2018, which took place in Salvador, Brazil, in November 2018. The 16 regular papers presented in this book were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections such as: techniques and methodologies; specification and modeling languages; theoretical foundations; verification and validation; experience reports regarding teaching formal methods; and applications.Chapter "TeSSLa: Temporal Stream-Based Specification Language" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This contributed volume explores and reveals the dynamics, strengths and weaknesses, trends and implications of entrepreneurship in the Middle East and North Africa (MENA) region. Presenting papers by respected experts in the field, it shares essential insights on the status quo of entrepreneurship and the opportunities and threats it faces in the MENA region. Topics range from development of entrepreneurial universities to international entrepreneurship, as well as emergent topics such as green entrepreneurship, sustainable entrepreneurship and youth entrepreneurship.

This contributed volume explores and reveals the new developments, dynamics and recommendations for entrepreneurship education in the Middle East and North Africa (MENA) region. Presenting papers by respected experts in the field, it shares essential insights on the status quo of entrepreneurial education and training programs, the characteristics and motivations of early stage entrepreneurs, and the regional framework conditions in MENA. The book closes with a bibliometric perspective on the trends in the entrepreneurship research and education being developed in MENA.

This book examines economic inequality and social disparity in Iran, together with their drivers, over the past four decades. During this period, income distribution and economic welfare were affected by the 1979 Revolution, the eight-year war with Iraq, post-war privatization and economic liberalization initiatives carried out under the Rafsanjani and Khatami administrations, the ascendance of a populist economic platform under the Ahmadinejad administration, and the lifting of energy and financial sanctions under the Rouhani administration. Featuring a mix of scholars, including Iranian academics who experienced these changes and are publishing in English for the first time, this collection offers quantitative and descriptive studies of the country's post-revolutionary economic development and disparities. In most chapters, a hypothesis is developed from existing theories or observations, which is then tested using available data. This unique combination of new voices, academic as well as personal experiences, and scientific methods will be a valuable addition to the library of the scholars of modern Iran's economy and society.