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1. |
Record Nr. |
UNINA9910149425103321 |
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Autore |
Hazen Thomas Lee <1947-> |
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Titolo |
Securities regulation in a nutshell / / Thomas Lee Hazen |
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Pubbl/distr/stampa |
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St. Paul, Minnesota : , : West Academic Publishing, , 2016 |
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©2016 |
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ISBN |
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Edizione |
[Eleventh edition.] |
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Descrizione fisica |
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1 online resource (259 pages) : illustrations |
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Collana |
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Disciplina |
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Soggetti |
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Securities - United States |
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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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Nota di contenuto |
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Introduction -- Regulation of public offerings -- Introduction to the Regulation of publicly-held companies -- Antifraud provisions -- Regulation of the securities business -- Regulation of investment companies and investment advisers -- Sanctions for violations -- Civil liabilities -- Extraterritorial application -- State regulation. |
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2. |
Record Nr. |
UNINA9910131186003321 |
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Titolo |
Rapport Parent. Première partie ou tome I. Les structures supérieures du système scolaire : Rapport de la Commission royale d'enquête sur l'enseignement dans la province de Québec / / Commission royale d'enquête sur l'enseignement dans la province de Québec |
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Pubbl/distr/stampa |
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Chicoutimi : , : J.-M. Tremblay, , 2004 |
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ISBN |
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Descrizione fisica |
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Collana |
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Classiques des sciences sociales |
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Disciplina |
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Soggetti |
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Education - Québec (Province) |
Education, Higher - Québec (Province) |
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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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Nota di contenuto |
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Tome I LES STRUCTURES SUPÉRIEURES DU SYSTÈME SCOLAIRE DE LA PROVINCE DE QUÉBEC -- Composition de la Commission -- Personnel de la Commission -- Lettre de présentation à Son Exc. le Lieutenant-gouverneur en Conseil -- Loi instituant une Commission royale d'enquête sur l'enseignement -- Arrêté en conseil -- Loi prolongeant le mandat de la Commission -- Avant-propos -- Index des tableaux et des graphiques. -- Chapitre I: Aperçu historique. -- Chapitre II: La législation scolaire. -- Chapitre III: Les effectifs scolaires. -- Chapitre IV: La société d'aujourd'hui et l'enseignement. -- Chapitre V: Problèmes et responsabilités de l'éducation. -- Chapitre VI: Le Ministère del'Éducation. -- Chapitre VII: Le Conseil supérieur de l'Éducation. |
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3. |
Record Nr. |
UNINA9910739480903321 |
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Titolo |
Advanced Bioscience and Biosystems for Detection and Management of Diabetes / / edited by Kishor Kumar Sadasivuni, John-John Cabibihan, Abdulaziz Khalid A M Al-Ali, Rayaz A. Malik |
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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 (313 pages) |
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Collana |
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Springer Series on Bio- and Neurosystems, , 2520-8543 ; ; 13 |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Machine learning |
Biomedical Engineering and Bioengineering |
Machine Learning |
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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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Nota di contenuto |
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Introduction -- Review of Emerging Approaches Utilizing Alternative Physiological Human Body Fluids in Non- or Minimally Invasive Glucose Monitoring -- Current Status of Non-invasive Diabetics Monitoring -- A New Solution for Non-invasive Glucose Measurement Based on Heart Rate Variability -- Optics Based Techniques for Monitoring Diabetics -- SPR Assisted Diabetics Detection -- Infrared and Raman Spectroscopy Assisted Diagnosis of Diabetics -- Photoacoustic Spectroscopy Mediated Non-Invasive Detection of Diabetics -- Electrical Bioimpedance Based Estimation of Diabetics -- Millimeter and Microwave Sensing Technique for Diagnosis of Diabetics -- Different Machine Learning Algorithm involved in Glucose Monitoring to Prevent Diabetes Complications and Enhanced Diabetes Mellitus Management -- The role of Artificial Intelligence in Diabetes management -- Artificial Intelligence and Machine learning for Diabetes Decision Support -- Commercial Non-Invasive Glucose Sensor Devices for Monitoring Diabetics -- Future Developments in Invasive and Non-Invasive Diabetics Monitoring. |
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Sommario/riassunto |
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This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes. |
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