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[null,"1.","Record Nr.",null,"UNINA9910495809903321"]
[null,null,"Autore",null,"Andrieu Bernard"]
[null,null,"Titolo",null,"Les revues en sciences de l’éducation : mutations et permanences : Lire, publier, diffuser / / Jacques Fijalkow, Richard Étienne"]
[null,null,"Pubbl/distr/stampa",null,"Montpellier, : Presses universitaires de la Méditerranée, 2020"]
[null,null,"ISBN",null,"2-36781-346-9"]
[{"$nulls":4},"2-36781-201-2"]
[null,null,"Descrizione fisica",null,"252 p"]
[null,null,"Collana",null,"Mutations en éducation et en formation"]
[null,null,"Soggetti",null,"Education"]
[{"$nulls":4},"Library&#44; Information &amp; Communication sciences"]
[{"$nulls":4},"Public Health &amp; Health Care Science"]
[{"$nulls":4},"expertise"]
[{"$nulls":4},"écrire"]
[{"$nulls":4},"diffuser"]
[{"$nulls":4},"doctorant"]
[{"$nulls":4},"publier"]
[{"$nulls":4},"revue"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Fait suite à un symposium organisé à Toulouse les 5 et 6 juin 2014 par l'Association des enseignants et chercheurs en sciences de l'éducation."]
[null,null,null,"Sommario/riassunto","Les revues de sciences de l’éducation sont un support privilégié pour ce champ. Nous les abordons sous l’angle des mutations et des permanences mais aussi dans la perspective de les lire et d’y publier. Ne nous intéresser qu’aux revues animées par la volonté de « faire science » permet de les distinguer de celles qui expriment des préoccupations strictement professionnelles.  Notre sous-titre précise les finalités de l’ouvrage, lire, publier, diffuser, qui ne peuvent être poursuivies que si elles s’appuient sur des écrits sélectionnés, améliorés et validés selon des critères scientifiques et si la diffusion permet d’y accéder. Or, les revues se trouvent confrontées à bien des transformations : la révolution du numérique qui entraîne une réflexion sur les supports, les contraintes économiques de plus en plus pressantes et stressantes, enfin l’omniprésence de l’évaluation.  Quels choix effectuer ? Comment les argumenter et les assumer ? Comment "]
[{"$nulls":4},"informer sur les procédures de décision et de fabrication ? Comment maintenir un haut niveau d’exigence ? Comment aider les « jeunes chercheurs » à être publiés sans y renoncer ? Telles sont les questions dont ce livre s’empare avec le désir explicite de contribuer à l’édification d’un « collège des revues »."]
[null,"2.","Record Nr.",null,"UNINA9910792349803321"]
[null,null,"Autore",null,"Bundy Donald A. P"]
[null,null,"Titolo",null,"Accelerating the education sector response to HIV : : five years of experience from Sub-Saharan Africa / / Donald Bundy ... [and others]"]
[null,null,"Pubbl/distr/stampa",null,"Washington, DC : , : World Bank, , [2010]"]
[{"$nulls":4},"copyright 2010"]
[null,null,"ISBN",null,"1-282-50215-8"]
[{"$nulls":4},"9786612502156"]
[{"$nulls":4},"0-8213-7978-X"]
[null,null,"Descrizione fisica",null,"xxxiv, 93 pages : illustrations ; ; 23 cm"]
[null,null,"Collana",null,"Education and HIV/AIDS"]
[null,null,"Disciplina",null,"362.196/979200967"]
[null,null,"Soggetti",null,"AIDS (Disease) - Prevention - Africa, Sub-Saharan"]
[{"$nulls":4},"Health education - Africa, Sub-Saharan"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"The report was written by: Donald Bundy ... [et al.].\"--Acknowledgments."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Contents; Preface; Foreword; Acknowledgments; Abbreviations and Acronyms; Overview; Introduction; Boxes; 1. Promoting Leadership by the Education Sector and Creating Sectoral Demand for a Response to HIV/AIDS; Figures; 2. Harmonizing Support among Development Partners to Better Assist Countries and Reduce Transaction Costs; 3. Promoting Coordination with the National AIDS Authorities and Enhancing Access to AIDS Funds; 4. Sharing Information on HIV/AIDS with Specific Relevance to the Education Sector"]
[{"$nulls":4},"5. Strengthening the Technical Content and Implementation of the Education Sector Response to HIV/AIDS 6. Conclusions and the Way Forward; Appendixes; References; Index"]
[null,null,null,"Sommario/riassunto","This Review was undertaken by the Networks of Ministry of Education HIV&AIDS Focal Point from countries in sub-Saharan Africa participating in the Accelerate Initiative, together with stakeholder and partner representatives.The education sector has become increasingly recognized as playing a key 'external' role in prevention and in reducing stigma, and an important 'internal' role in providing access to care, treatment and support for teachers and staff, a group that in many countries represents more than 60% of the public sector workforce.In 2002, the Joint United Nations Programme on HIV&AID"]
[null,"3.","Record Nr.",null,"UNINA9910433248603321"]
[null,null,"Autore",null,"Beyerer Jürgen"]
[null,null,"Titolo",null,"Machine Learning for Cyber Physical Systems : Selected papers from the International Conference ML4CPS 2020 / / edited by Jürgen Beyerer, Alexander Maier, Oliver Niggemann"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2021"]
[null,null,"ISBN",null,"3-662-62746-9"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (VII, 130 p. 42 illus., 25 illus. in color.)"]
[null,null,"Collana",null,"Technologien für die intelligente Automation, Technologies for Intelligent Automation, , 2522-8587 ; ; 13"]
[null,null,"Classificazione",null,"COM043000TEC007000TEC041000"]
[null,null,"Disciplina",null,"621.38"]
[null,null,"Soggetti",null,"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Telecommunication"]
[{"$nulls":4},"Computer engineering"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Cyber-Physical Systems"]
[{"$nulls":4},"Communications Engineering, Networks"]
[{"$nulls":4},"Computer Engineering and Networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial ExampleAttacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous "]
[{"$nulls":4},"structures from FIB-SEM nano-tomographic data."]
[null,null,null,"Sommario/riassunto","This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. The Editors Prof. Dr.-Ing. Jürgen Beyerer is Professor at the Department for Interactive Real-Time Systems at the Karlsruhe Institute of Technology. In addition he manages the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB. Dr. Alexander Maier is head of group Machine Learning at Fraunhofer IOSB-INA. His focus is on the development of algorithms for big data applications in Cyber-Physical Systems (diagnostics, optimization, predictive maintenance) and the transfer of research results to industry. Prof. Oliver Niggemann got his doctorate in 2001 at the University of Paderborn with the topic \"Visual Data Mining of Graph-Based Data\". He then worked for almost 8 years in leading positions in the industry. From 2008-2019 he held a professorship at the Institute for Industrial Information Technologies (inIT) in Lemgo/Germany. Until 2019 Prof. Niggemann was also deputy head of the Fraunhofer IOSB-INA, which works in industrial automation. On April 1, 2019 Prof. Niggemann took over the university professorship \"Computer Science in Mechanical Engineering\" at the Helmut-Schmidt-University in Hamburg / Germany. There he does research at the Institute for Automation Technology IfA in the field of artificial intelligence and machine learning for cyber-physical systems."]