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1. |
Record Nr. |
UNINA990005885940403321 |
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Autore |
Sereni, Enzo <1905-1944> |
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Titolo |
Le origini del fascismo / Enzo Sereni ; a cura di Yacob Viterbo ; introduzione di Maria Grazia Meriggi ; postfazione di David Bidussa |
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Pubbl/distr/stampa |
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La Nuova Italia |
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Scandicci (Firenze), 1998 |
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ISBN |
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Descrizione fisica |
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Collana |
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Biblioteca di storia ; 74 |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA990004758290403321 |
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Autore |
Philo : , Alexandrinus <20 a. C.-ca.45> |
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Titolo |
De specialibus legibus : I et IV / [Philon d'Alexandrie] ; introduction, traduction et notes par André Mosès |
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Pubbl/distr/stampa |
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Paris : Éditions du Cerf, 1970 |
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Titolo uniforme |
De specialibus legibus <in greco e in francese> |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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P2B-600-CERF-PHIL.AL.-437A-1970 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910578693403321 |
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Titolo |
Information Technology in Biomedicine : 9th International Conference, ITIB 2022 Kamień Śląski, Poland, June 20–22, 2022 Proceedings / / edited by Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (552 pages) |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1429 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Biomedical engineering |
Medical informatics |
Computational Intelligence |
Biomedical Engineering and Bioengineering |
Health Informatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – a Single Case Study -- Cloud-Based System for Vital Data Recording at Patients’ Home -- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients -- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease -- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data -- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling -- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate. |
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Sommario/riassunto |
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This book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able |
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to process data and deliver results in a user-friendly manner at the time and place the information is needed. Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence. |
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