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This open access book is designed as a continuation of the editor’s 2019 book Achieving the Paris Climate Agreement Goals. This volume provides an in-depth analysis of industry sectors globally, and its purpose is to present emission reduction targets in 5-year steps (2025 to 2050) for the main twelve finance sectors per the Global Industry Classification System. This scientific analysis aims to support the United Nations Principles for Responsible Investment initiative to give sustainability guidance for the global finance industry. The industry sector pathways presented here are based on the latest global and regional 100% renewable energy and non-energy greenhouse gas Representative Concentration Pathways in order to keep climate change significantly under +1.5 C and thereby achieve the Paris Climate Agreement goals. The heart of this book is three chapters presenting the results of industry scenario modelling. These chapters cover twelve industry and service sectors as well as transportation and buildings. The specific energy demand and specific emissions are presented based on the emission accounting concept of “Scope 1, Scope 2 and Scope 3” emission pathways. This methodology has been developed to measure the climate and sustainability index for companies, and this research project expands the methodology to apply it to entire industry sectors. The results presented here are the first overall industry assessments under Scope 1, 2 and 3 from 2020 through 2050. The base for the energy pathways is the scenarios scenarios published in the previous volume. The nonenergy GHG emission scenarios, broken down to agriculture & forestry and industry, are detailed and include all major greenhouse gases and aerosols. The final section of the book presents the main conclusions of the industry pathway development work and recommendations for the finance industry and policy makers. Additionally, future qualitative future investment requirements in specific technologies and measures are presented.

Meteorology & climatology --- Environmental management --- Energy technology & engineering --- Sustainability --- Paris Climate Agreement --- emission reduction targets --- climate change science --- sustainable finance policies --- Carbon Capture and Storage --- Renewable Energy --- Global Industry Categorisation System

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The strategic importance of efficient Supply Chain Management is today fully recognized by top management. The total investment in inventories is enormous, and the control of capital tied up in raw material, work-in-progress, and finished goods offers an important potential for improvement. At the same time, advances in information technology have drastically changed the possibilities to apply improved inventory control techniques. Furthermore, the recent progress in research has resulted in new and more general methods that can reduce the supply chain costs substantially. Scientific methods for production and inventory control can give a significant competitive advantage. INVENTORY CONTROL deals with a range of different approaches and models that can be used when developing inventory management systems and practices. The book's primary purpose is to serve as a core textbook in various university courses. In addition, it serves as a source book to industry practitioners to understand inventory control techniques and thereby simplify and promote implementation in practice. The second edition of INVENTORY CONTROL, which has been extended by more than 50 percent, satisfies both these objectives. It covers traditional approaches for forecasting, lot sizing, determination of safety stocks and reorder points, KANBAN policies, and Material Requirements Planning. But it also includes very recent advances in inventory theory, for example, new techniques for multi-echelon inventory systems and Roundy's 98 percent approximation. The book also considers methods for coordinated replenishments of different items, and various practical issues in connection with industrial implementation. The second edition of INVENTORY CONTROL incorporates several new topics. The additions include: alternative forecasting techniques, more material on different stochastic demand processes and how they can be fitted to empirical data, generalized treatment of single-echelon periodic review systems, capacity constrained lot sizing, short sections on lateral trans-shipments and on remanufacturing, coordination and contracts. There are eleven chapters compared to six in the previous version. The explanations of different results are more detailed, and a considerable number of exercises have been added.

Inventory control. --- Production planning. --- Manufacturing planning --- Process planning --- Planning --- Production engineering --- Control, Inventory --- Inventory management --- Stock control --- Business logistics --- Physical distribution of goods --- Production control --- Inventories --- Production management. --- Industrial engineering. --- Operations research. --- Engineering economy. --- Management. --- Organization. --- Operations Management. --- Industrial and Production Engineering. --- Operations Research/Decision Theory. --- Engineering Economics, Organization, Logistics, Marketing. --- Organisation --- Management --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Administration --- Industrial relations --- Organization --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Manufacturing management --- Industrial management --- Production engineering. --- Decision making. --- Engineering economics. --- Planning. --- Creation (Literary, artistic, etc.) --- Executive ability --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Decision making

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In his Master project Sven Herrmann for the first time carried out fundamental investigations into the development of polyoxometalate based ionic liquids (POM-ILs). The POM-ILs were obtained by charge balancing inorganic polyoxometalate (POM) anions with sterically demanding tetraalkylammonium or tetraalkylphosphonium cations. By functionalization of lacunary Keggin clusters with 3d-transition metals and charge balancing with tetraalkylammonium cations of differing chain length, a model system for the correlation of the molecular structure with macroscopic materials properties was obtained. In a systematic approach the syntheses via self-aggregation is presented. Analytic methods comprise UV-Vis, FTIR, NMR, EPR and Mößbauer spectroscopy. For determination of the materials properties TGA and DSC were carried out and rheological studies shed light onto the flow characteristics of the highly viscous materials.  Contents Polyoxometlates and Ionic Liquids in General POM-Ils as New Class of Compounds Synthesis and Characterization of POM-ILs Reactivity Towards Azide and Carbonmonoxide  Target Groups Researchers and students in the field of chemistry Practitioners in this area  The Author Sven Herrmann obtained his Masters degree at the University of Erlangen-Nürnberg. He then joined the working group of Prof. Carsten Streb in the inorganic department at the University of Ulm to work on his PhD thesis that targets the development of polyoxometalate based ionic liquids (POM-ILs).

Chemistry. --- Inorganic Chemistry. --- Catalysis. --- Industrial Chemistry/Chemical Engineering. --- Chemistry, inorganic. --- Chemical engineering. --- Chimie --- Génie chimique --- Catalyse --- Chemistry --- Physical Sciences & Mathematics --- Inorganic Chemistry --- Polyoxometalates. --- Inorganic chemistry. --- Coordination compounds --- Metallic oxides --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Engineering --- Chemistry, Technical --- Metallurgy --- Activation (Chemistry) --- Chemistry, Physical and theoretical --- Surface chemistry --- Inorganic chemistry --- Inorganic compounds

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Nowadays, Web applications are almost omnipresent. The Web has become a platform not only for information delivery, but also for eCommerce systems, social networks, mobile services, and distributed learning environments. Engineering Web applications involves many intrinsic challenges due to their distributed nature, content orientation, and the requirement to make them available to a wide spectrum of users who are unknown in advance. The authors discuss these challenges in the context of well-established engineering processes, covering the whole product lifecycle from requirements engineering through design and implementation to deployment and maintenance. They stress the importance of models in Web application development, and they compare well-known Web-specific development processes like WebML, WSDM and OOHDM to traditional software development approaches like the waterfall model and the spiral model. Important problem areas inherent to the Web, like localization, personalization, accessibility, and usage analysis, are dealt with in detail, and a final chapter provides both a description of and an outlook on recent Semantic Web and Web 2.0 developments. Overall, their book delivers a comprehensive presentation of the state-of-the-art in Web application development and thus forms an ideal basis for academic or industrial courses in this or related areas. It is equally suitable for self-study by researchers or advanced professionals who require an overview on how to use up-to-date Web technologies.

Application software -- Development. --- Electronic books. -- local. --- Web site development. --- Web site development --- Application software --- Computer Science --- Telecommunications --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Development --- Information Technology --- Software Engineering --- Development. --- Development of Web sites --- Web sites --- Development of application software --- Computer science. --- Information technology. --- Business --- Computer programming. --- Software engineering. --- Computers. --- Management information systems. --- Computer Science. --- Programming Techniques. --- Software Engineering. --- Models and Principles. --- Information Systems Applications (incl. Internet). --- IT in Business. --- Management of Computing and Information Systems. --- Data processing. --- Internet programming --- Information Systems. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Computer software engineering --- Engineering --- Informatics --- Science --- Application software. --- Business—Data processing. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Communication systems --- Programming

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The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.

Artificial intelligence. --- Computer science. --- Database management. --- Information storage and retrieva. --- Semantic Web --- Engineering & Applied Sciences --- Computer Science --- Querying (Computer science) --- Data processing. --- Information storage and retrieval. --- Computer Science. --- Database Management. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Database interrogation --- Interrogation of databases --- Database searching --- Reporting (Computer science) --- WHOIS (Computer network protocol) --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Artificial Intelligence. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval