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Martin Stein's thesis describes a novel methodology for natural product discovery. Due to its high degree of reproducibility, robustness and sensitivity, the technique can be utilized to detect even trace amounts of bioactive substances in heterogeneous matrices such as fermentation broths or crude organic extracts. This research is thus relevant for a large number of researchers working in natural product discovery. Applications of this novel NMR-based approach include suitable environmental triggers for the induction of biosynthetic machineries. The author demonstrates the extraordinary value of this approach by the successful isolation of two potent inhibitors of the pharmaceutically relevant proteasome core particle from the insect pathogen photorhabdus luminescens. This thesis has led to a number of publications in high-impact journals.

Optics. Quantum optics --- Theoretical spectroscopy. Spectroscopic techniques --- Spectrometric and optical chemical analysis --- Organic chemistry --- Chemistry --- General biochemistry --- organische chemie --- biochemie --- chemie --- spectroscopie --- insecten --- spectrometrie

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Kind --- Gedrag --- Gedragspsychologie --- Gedragsprobleem --- Ontwikkelingspsychologie --- Ontwikkelingsprobleem --- Adolescence --- Behavioral assessment of children --- Child development --- Adolescent --- Adolescent Behavior --- Child Behavior --- Child Development --- Growth --- Infant Development --- Development, Child --- Development, Infant --- Psychology, Child --- Behavior, Child --- Behavior, Adolescent --- Adolescent Behaviors --- Behaviors, Adolescent --- Adolescent Development --- Adolescents --- Adolescents, Female --- Adolescents, Male --- Teenagers --- Teens --- Youth --- Adolescent, Female --- Adolescent, Male --- Female Adolescent --- Female Adolescents --- Male Adolescent --- Male Adolescents --- Teen --- Teenager --- Youths --- Minors --- Developmental screening of children --- Developmental testing of children --- Children --- Child study --- Developmental biology --- Child psychology --- Teen-age --- Puberty --- Testing --- Medical examinations --- Development --- Methodology --- Behavior --- Human Development --- Growth and Development --- Age Groups --- Physiological Processes --- Behavior and Behavior Mechanisms --- Persons --- Psychiatry and Psychology --- Named Groups --- Physiological Phenomena --- Phenomena and Processes --- Physiological Concepts --- Physiological Phenomenon --- Physiological Process --- Concept, Physiological --- Concepts, Physiological --- Phenomena, Physiological --- Phenomenas, Physiological --- Phenomenon, Physiological --- Physiological Concept --- Process, Physiological --- Processes, Physiological --- Person --- Behavior And Behavior Mechanism --- Age Group --- Group, Age --- Groups, Age --- Development and Growth --- Developmental Biology --- Development, Human --- Humans --- Psychology, Developmental --- Acceptance Process --- Acceptance Processes --- Behaviors --- Process, Acceptance --- Processes, Acceptance

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While many Web 2.0-inspired approaches to semantic content authoring do acknowledge motivation and incentives as the main drivers of user involvement, the amount of useful human contributions actually available will always remain a scarce resource. Complementarily, there are aspects of semantic content authoring in which automatic techniques have proven to perform reliably, and the added value of human (and collective) intelligence is often a question of cost and timing. The challenge that this book attempts to tackle is how these two approaches (machine- and human-driven computation) could be combined in order to improve the cost-performance ratio of creating, managing, and meaningfully using semantic content. To do so, we need to first understand how theories and practices from social sciences and economics about user behavior and incentives could be applied to semantic content authoring. We will introduce a methodology to help software designers to embed incentives-minded functionalities into semantic applications, as well as best practices and guidelines. We will present several examples of such applications, addressing tasks such as ontology management, media annotation, and information extraction, which have been built with these considerations in mind. These examples illustrate key design issues of incentivized Semantic Web applications that might have a significant effect on the success and sustainable development of the applications: the suitability of the task and knowledge domain to the intended audience, and the mechanisms set up to ensure high-quality contributions, and extensive user involvement. Table of Contents: Semantic Data Management: A Human-driven Process / Fundamentals of Motivation and Incentives / Case Study: Motivating Employees to Annotate Content / Case Study: Building a Community of Practice Around Web Service Management and Annotation / Case Study: Games with a Purpose for Semantic Content Creation / Conclusions.

Mathematics. --- Internet programming. --- Application software. --- Computer networks. --- Ontology. --- Web Development. --- Computer and Information Systems Applications. --- Computer Communication Networks.

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Child development --- Child development. --- Child development - Testing. --- Behavioral assessment of children.