Preparandome para el futuro: manual para promotores adolescentes

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Publisher :
ISBN 13 :
Total Pages : 252 pages
Book Rating : 4.:/5 (7 download)

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Book Synopsis Preparandome para el futuro: manual para promotores adolescentes by : Ligia Tenorio Bellanger

Download or read book Preparandome para el futuro: manual para promotores adolescentes written by Ligia Tenorio Bellanger and published by . This book was released on 2003 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenta Manual educativo que da repuestas a necesidades de conocimiento a los adolescentes sobre salud sexual reproductiva. Esta basado en la estrategia de capacitacion de Adolescentes a adolescentes, toma en cuenta que ellas y ellos poseen las mismas inquietudes, dudas, temores e ilusiones respecto a los estudios, diversion, la forma de comunicarse con sus padres y madres la manera de ver el futuro; asi como sus ideas sobre el amor, el noviazgo y las relaciones sexuales, lo que facilita la posibilidad de transmitir el conocimiento a sus parejas. Contiene informacion b ̄sica y tres o cuatro actividades en cada tema, dise[vbar]adas para desarrollar de forma independiente. Adem ̄s incluye un modelo educativo que orienta al promotor adolescente a desarrolar el proceso de capacitacion. Tambien contiene un modulo sobre din ̄micas grupales que le servir ̄n de recurso apra desarrollar las actividades de forma agradable y animada.

Conserva tus sueños

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Publisher :
ISBN 13 : 9789597187240
Total Pages : 132 pages
Book Rating : 4.1/5 (872 download)

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Book Synopsis Conserva tus sueños by : María Teresa Díaz Alvarez

Download or read book Conserva tus sueños written by María Teresa Díaz Alvarez and published by . This book was released on 2008 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Biomechatronics Using Mathematical Models

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Publisher : Academic Press
ISBN 13 : 0128125950
Total Pages : 664 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Applied Biomechatronics Using Mathematical Models by : Jorge Garza Ulloa

Download or read book Applied Biomechatronics Using Mathematical Models written by Jorge Garza Ulloa and published by Academic Press. This book was released on 2018-06-16 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomechatronics Using Mathematical Models provides an appropriate methodology to detect and measure diseases and injuries relating to human kinematics and kinetics. It features mathematical models that, when applied to engineering principles and techniques in the medical field, can be used in assistive devices that work with bodily signals. The use of data in the kinematics and kinetics analysis of the human body, including musculoskeletal kinetics and joints and their relationship to the central nervous system (CNS) is covered, helping users understand how the complex network of symbiotic systems in the skeletal and muscular system work together to allow movement controlled by the CNS. With the use of appropriate electronic sensors at specific areas connected to bio-instruments, we can obtain enough information to create a mathematical model for assistive devices by analyzing the kinematics and kinetics of the human body. The mathematical models developed in this book can provide more effective devices for use in aiding and improving the function of the body in relation to a variety of injuries and diseases. - Focuses on the mathematical modeling of human kinematics and kinetics - Teaches users how to obtain faster results with these mathematical models - Includes a companion website with additional content that presents MATLAB examples

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

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Publisher : Elsevier
ISBN 13 : 0128207183
Total Pages : 704 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by : Jorge Garza Ulloa

Download or read book Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models written by Jorge Garza Ulloa and published by Elsevier. This book was released on 2021-11-29 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

Handbook of Artificial Intelligence in Biomedical Engineering

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Publisher : Apple Academic Press
ISBN 13 : 9781774637616
Total Pages : 538 pages
Book Rating : 4.6/5 (376 download)

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Book Synopsis Handbook of Artificial Intelligence in Biomedical Engineering by : Saravanan Krishnan

Download or read book Handbook of Artificial Intelligence in Biomedical Engineering written by Saravanan Krishnan and published by Apple Academic Press. This book was released on 2022-10 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.