[PDF] Fractal And Multifractal Facets In The Structure And Dynamics Of Physiological Systems And Applications To Homeostatic Control Disease Diagnosis And Integrated Cyber Physical Platforms - eBooks Review

Fractal And Multifractal Facets In The Structure And Dynamics Of Physiological Systems And Applications To Homeostatic Control Disease Diagnosis And Integrated Cyber Physical Platforms


Fractal And Multifractal Facets In The Structure And Dynamics Of Physiological Systems And Applications To Homeostatic Control Disease Diagnosis And Integrated Cyber Physical Platforms
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Fractal And Multifractal Facets In The Structure And Dynamics Of Physiological Systems And Applications To Homeostatic Control Disease Diagnosis And Integrated Cyber Physical Platforms


Fractal And Multifractal Facets In The Structure And Dynamics Of Physiological Systems And Applications To Homeostatic Control Disease Diagnosis And Integrated Cyber Physical Platforms
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Author : Paul Bogdan
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-25

Fractal And Multifractal Facets In The Structure And Dynamics Of Physiological Systems And Applications To Homeostatic Control Disease Diagnosis And Integrated Cyber Physical Platforms written by Paul Bogdan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with categories.


Widespread chronic diseases (e.g., heart diseases, diabetes and its complications, stroke, cancer, brain diseases) constitute a significant cause of rising healthcare costs and pose a significant burden on quality-of-life for many individuals. Despite the increased need for smart healthcare sensing systems that monitor / measure patients’ body balance, there is no coherent theory that facilitates the modeling of human physiological processes and the design and optimization of future healthcare cyber-physical systems (HCPS). The HCPS are expected to mine the patient’s physiological state based on available continuous sensing, quantify risk indices corresponding to the onset of abnormality, signal the need for critical medical intervention in real-time by communicating patient’s medical information via a network from individual to hospital, and most importantly control (actuate) vital health signals (e.g., cardiac pacing, insulin level, blood pressure) within personalized homeostasis. To prevent health complications, maintain good health and/or avoid fatal conditions calls for a cross-disciplinary approach to HCPS design where recent statistical-physics inspired discoveries done by collaborations between physicists and physicians are shared and enriched by applied mathematicians, control theorists and bioengineers. This critical and urgent multi-disciplinary approach has to unify the current state of knowledge and address the following fundamental challenges: One fundamental challenge is represented by the need to mine and understand the complexity of the structure and dynamics of the physiological systems in healthy homeostasis and associated with a disease (such as diabetes). Along the same lines, we need rigorous mathematical techniques for identifying the interactions between integrated physiologic systems and understanding their role within the overall networking architecture of healthy dynamics. Another fundamental challenge calls for a deeper understanding of stochastic feedback and variability in biological systems and physiological processes, in particular, and for deciphering their implications not only on how to mathematically characterize homeostasis, but also on defining new control strategies that are accounting for intra- and inter-patient specificity – a truly mathematical approach to personalized medicine. Numerous recent studies have demonstrated that heart rate variability, blood glucose, neural signals and other interdependent physiological processes demonstrate fractal and non-stationary characteristics. Exploiting statistical physics concepts, numerous recent research studies demonstrated that healthy human physiological processes exhibit complex critical phenomena with deep implications for how homeostasis should be defined and how control strategies should be developed when prolonged abnormal deviations are observed. In addition, several efforts have tried to connect these fractal characteristics with new optimal control strategies that implemented in medical devices such as pacemakers and artificial pancreas could improve the efficiency of medical therapies and the quality-of-life of patients but neglecting the overall networking architecture of human physiology. Consequently, rigorously analyzing the complexity and dynamics of physiological processes (e.g., blood glucose and its associated implications and interdependencies with other physiological processes) represents a fundamental step towards providing a quantifiable (mathematical) definition of homeostasis in the context of critical phenomena, understanding the onset of chronic diseases, predicting deviations from healthy homeostasis and developing new more efficient medical therapies that carefully account for the physiological complexity, intra- and inter-patient variability, rather than ignoring it. This Research Topic aims to open a synergetic and timely effort between physicians, physicists, applied mathematicians, signal processing, bioengineering and biomedical experts to organize the state of knowledge in mining the complexity of physiological systems and their implications for constructing more accurate mathematical models and designing QoL-aware control strategies implemented in the new generation of HCPS devices. By bringing together multi-disciplinary researchers seeking to understand the many aspects of human physiology and its complexity, we aim at enabling a paradigm shift in designing future medical devices that translates mathematical characteristics in predictable mathematical models quantifying not only the degree of homeostasis, but also providing fundamentally new control strategies within the personalized medicine era.



Network Physiology Insights In Systems Interactions And Organ Networks 2021


Network Physiology Insights In Systems Interactions And Organ Networks 2021
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Author : Plamen Ch. Ivanov
language : en
Publisher: Frontiers Media SA
Release Date : 2023-06-06

Network Physiology Insights In Systems Interactions And Organ Networks 2021 written by Plamen Ch. Ivanov and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Science categories.




Computational Intelligence


Computational Intelligence
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Author : Diego Andina
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-06

Computational Intelligence written by Diego Andina and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-06 with Mathematics categories.


Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. This book presents novel applications and real world applications working in Manufacturing and Engineering, and it sets a basis for understanding Domotic and Production Methods of the XXI Century.



Human Activity Recognition And Prediction


Human Activity Recognition And Prediction
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Author : Yun Fu
language : en
Publisher: Springer
Release Date : 2015-12-23

Human Activity Recognition And Prediction written by Yun Fu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-23 with Technology & Engineering categories.


This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.



Applied Panarchy


Applied Panarchy
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Author : Lance H. Gunderson
language : en
Publisher: Island Press
Release Date : 2022-04-21

Applied Panarchy written by Lance H. Gunderson and has been published by Island Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-21 with Nature categories.


Although humans desire stability in our lives to help us understand the world and survive, nothing in nature is permanently stable. How can society anticipate and adjust to the changes we see around us? Scientists use panarchy theory to understand how systems--whether forests, electrical grids, agriculture, coastal surges, public health, or human economies and governance--interact together in unpredictable ways. Applied Panarchy, the much-anticipated successor to Lance Gunderson and C.S. Holling's seminal 2002 volume Panarchy, documents the extraordinary advances in interdisciplinary panarchy scholarship and applications over the past two decades. Intended as a text for graduate courses in environmental sciences and related fields, Applied Panarchy picks up where Panarchy left off, inspiring new generations of scholars, researchers, and professionals to put its ideas to work in practical ways.



Handbook Of Massive Data Sets


Handbook Of Massive Data Sets
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Author : James Abello
language : en
Publisher: Springer
Release Date : 2013-12-21

Handbook Of Massive Data Sets written by James Abello and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Computers categories.


The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.



Epidemic Models


Epidemic Models
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Author : Denis Mollison
language : en
Publisher: Cambridge University Press
Release Date : 1995-07-13

Epidemic Models written by Denis Mollison and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-07-13 with Mathematics categories.


Surveys the state of epidemic modelling, resulting from the NATO Advanced Workshop at the Newton Institute in 1993.



Circular E Employer S Tax Guide Publication 15 For Use In 2021


 Circular E Employer S Tax Guide Publication 15 For Use In 2021
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Author : Internal Revenue Service
language : en
Publisher:
Release Date : 2021-03-04

Circular E Employer S Tax Guide Publication 15 For Use In 2021 written by Internal Revenue Service and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with categories.


Employer's Tax Guide (Circular E) - The Families First Coronavirus Response Act (FFCRA), enacted on March 18, 2020, and amended by the COVID-related Tax Relief Act of 2020, provides certain employers with tax credits that reimburse them for the cost of providing paid sick and family leave wages to their employees for leave related to COVID‐19. Qualified sick and family leave wages and the related credits for qualified sick and family leave wages are only reported on employment tax returns with respect to wages paid for leave taken in quarters beginning after March 31, 2020, and before April 1, 2021, unless extended by future legislation. If you paid qualified sick and family leave wages in 2021 for 2020 leave, you will claim the credit on your 2021 employment tax return. Under the FFCRA, certain employers with fewer than 500 employees provide paid sick and fam-ily leave to employees unable to work or telework. The FFCRA required such employers to provide leave to such employees after March 31, 2020, and before January 1, 2021. Publication 15 (For use in 2021)



The Natural Selection Of The Chemical Elements


The Natural Selection Of The Chemical Elements
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Author : J. J. R. Fraústo da Silva
language : en
Publisher: Oxford University Press on Demand
Release Date : 1997

The Natural Selection Of The Chemical Elements written by J. J. R. Fraústo da Silva and has been published by Oxford University Press on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Law categories.


This beautifully written book is a study of the intimate relationship between the inanimate environment and living organisms. It describes how the evolution of both has been interactive and interdependent: the environment and life developed together, The authors show that this can be explained in terms of the properties of the chemical elements and their compounds. It discusses the physical and chemical balances between the animate and inanimate worlds, with kinetic and thermodynamic principles given to support this analysis. These principles are applied to both organic and inorganic chemical systems to provide a basis for understanding the evolution of life in terms of the interaction of both types of chemistry within ever more complex organisations. The book conludes with an examination of an intriguing problem for mankind: the long-term consequences of man's selection and manipulation of chemicals. This may have consequences for the long-term future of life from changes in the environment - not just only due to bulk but also to trace element alterations.



Fractal Physiology


Fractal Physiology
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Author : James B. Bassingthwaighte
language : en
Publisher: Oxford University Press, USA
Release Date : 1994

Fractal Physiology written by James B. Bassingthwaighte and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Science categories.


Fractal Physiology shows how measures of the fractal properties and chaotic dynamics of cells, tissues, organs and organisms can be applied in a practical, quantitative way to studies of human physiology. The book describes in detail how to measure self-similar phenomena in order to characterize physiological phenomena such as regional blood flow variations irregularity in durations of ion channel openings and closings, and irregularities in other bioelectric signals, and how to distinguish a random signal from due to a low-order deterministic system.