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Neurofibromatosis type 1 (NF1), caused by mutational inactivation of the NF1 tumour suppressor gene, is one of the most common dominantly inherited human disorders, affecting 1 in 3000 individuals worldwide. This book presents in concise fashion, but as comprehensively as possible, our current state of knowledge on the molecular genetics, molecular biology and cellular biology of this tumour predisposition syndrome. Written by internationally recognized experts in the field, the 44 chapters that constitute this edited volume provide the reader with a broad overview of the clinical features of the disease, the structure and expression of the NF1 gene, its germ line and somatic mutational spectra and genotype-phenotype relationships, the structure and function of its protein product (neurofibromin), NF1 modifying loci, the molecular pathology of NF1-associated tumours, animal models of the disease, psycho-social aspects and future prospects for therapeutic treatment.
Proliferation of distributed generation and the increased ability to monitor different parts of the electrical grid offer unprecedented opportunities for consumers and grid operators. Energy can be generated near the consumption points, which decreases transmission burdens and novel control schemes can be utilized to operate the grid closer to its limits. In other words, the same infrastructure can be used at higher capacities thanks to increased efficiency. Also, new players are integrated into this grid such as smart meters with local control capabilities, electric vehicles that can act as mobile storage devices, and smart inverters that can provide auxiliary support. To achieve stable and safe operation, it is necessary to observe and coordinate all of these components in the smartgrid.
Esta edición nos acerca a un nuevo enfoque de investigación, empleado con frecuencia en todas las áreas relacionadas con los medios: el análisis de contenido. Este método se basa en su eficacia para analizar los contenidos mediáticos. La convergencia tecnológica propiciada por la llamada Revolución Digital constituye un conjunto de tecnologías cuyas aplicaciones abren un amplio abanico de posibilidades a la comunicación humana.
Includes entries for maps and atlases.
Zusammenfassung: The two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4-7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications
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This Encyclopedia is the first to compile pseudonyms from all over the world, from all ages and occupations in a single work: some 500,000 pseudonyms of roughly 270,000 people are deciphered here. Besides pseudonyms in the narrower sense, initials, nick names, order names, birth and married names etc. are included. The volumes 1 to 9 list persons by their real names in alphabetical order. To make the unequivocal identification of a person easier, year and place of birth and death are provided where available, as are profession, nationality, the pseudonym under which the person was known, and finally, the sources used. The names of professions given in the source material have been translated into English especially for this encyclopaedia. In the second part, covering the volumes 10 to 16, the pseudonyms are listed alphabetically and the real names provided. Approx. 500,000 pseudonyms of about 270,000 persons First encyclopedia including pseudonyms from all over the world, all times and all occupations Essential research tool for anyone wishing to identify persons and names for his research within one single work
Zusammenfassung: The two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4-7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications
The two-volume set LNCS 5601 and LNCS 5602 constitutes the refereed proceedings of the Third International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2009, held in Santiago de Compostela, Spain, in June 2009. The 108 revised papers presented are thematically divided into two volumes. The first volume includes papers relating the most recent collaborations with Professor Mira and contributions mainly related with theoretical, conceptual and methodological aspects linking AI and knowledge engineering with neurophysiology, clinics and cognition. The second volume contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.