Florian Denker explores the role of an individual’s domain knowledge for the proficient evaluation of early-stage new product ideas in the front-end of innovation. The results of his study show that in order to ensure an effective evaluation, evaluators of early-stage new product ideas should have comprehensive knowledge of consumers’ needs and wants, as well as distinct knowledge about the opportunities and limits of available technologies in the respective domain. In this context, the results show that not only firm-internal experts can have this knowledge. Users and, in particular, so-called "lead users" (i.e. users who are ahead of the majority on major market trends and innovations), could also be suitable for effectively evaluating early-stage new product ideas.
A laboratory study that investigates how algorithms come into existence. Algorithms--often associated with the terms big data, machine learning, or artificial intelligence--underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providing an account of where algorithms come from and how they are constituted, investigating the practical activities by which algorithms are progressively assembled rather than what they may suggest or require once they are assembled.
Adhesion of Cells, Viruses and Nanoparticles" describes the adhesion of cells, viruses and nanoparticles starting from the basic principles of adhesion science, familiar to postgraduates, and leading on to recent research results. The underlying theory is that of van der Waals forces acting between cells and substrates, embodied in the molecules lying at the surfaces, together with the geometry and elasticity of the materials involved. The first part describes the fundamental background to adhesion principles, including the phenomenology, the important equations and the modeling ideas. Then the mechanisms of adhesion are explored in the second part, including the elastic deformations of spheres and the importance of the energy of adhesion as measured in various tests. It is demonstrated that adhesion of cells is statistical and depends on Brownian movement and on the complex multiple contacts that can form as cells move around. Then, detailed chapters on cell adhesion, contact of viruses and aggregation of nanoparticles follow in Part 3. Finally, the last chapter looks to the future understanding of cell adhesion and points out some interesting directions of research, development and treatment of diseases related to these phenomena. This book is an ideal resource for researchers on adhesion molecules, receptors, cell and tissue culturing, virus infection, toxicity of nanoparticles and bioreactor fouling. It can also be used to support undergraduate and Masters level teaching courses. "This is a fascinating book and it is an invaluable resource for understanding particle-particle/surface adhesion at micro- and nano- scales. I intend to keep one for my future reference and highly recommend it to my students." (Prof. Zhibing Zhang, School of Chemical Engineering, University of Birmingham, UK)
This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework called openSMILE, which has been accepted and intensively used worldwide. The book offers extensive descriptions of key methods for the automatic classification of speech and music signals in real-life conditions and reports on the evaluation of the framework developed and the acoustic parameter sets that were selected. It is not only intended as a manual for openSMILE users, but also and primarily as a guide and source of inspiration for students and scientists involved in the design of speech and music analysis methods that can robustly handle real-life conditions.
Florian Denker explores the role of an individual’s domain knowledge for the proficient evaluation of early-stage new product ideas in the front-end of innovation. The results of his study show that in order to ensure an effective evaluation, evaluators of early-stage new product ideas should have comprehensive knowledge of consumers’ needs and wants, as well as distinct knowledge about the opportunities and limits of available technologies in the respective domain. In this context, the results show that not only firm-internal experts can have this knowledge. Users and, in particular, so-called "lead users" (i.e. users who are ahead of the majority on major market trends and innovations), could also be suitable for effectively evaluating early-stage new product ideas.
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