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Chronic inflammation in conditions associated with a deficient clearance of dying and dead cells, their remnants, and intracellular constituents

Authors: --- --- --- --- et al.
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889196012 Year: Pages: 73 DOI: 10.3389/978-2-88919-601-2 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Allergy and Immunology
Added to DOAB on : 2016-08-16 10:34:25
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Abstract

In multicellular organisms, states with a high degree of tissue turnover like embryogenesis, development, and adult tissue homeostasis need an instantaneous, tightly regulated and immunologically silent clearance of these dying cells to ensure appropriate development of the embryo and adult tissue remodelling. The proper and swift clearance of apoptotic cells is essential to prevent cellular leakage of damage associated molecular patterns (DAMPs) which would lead to the stimulation of inflammatory cytokine responses. In addition to the clearance of apoptotic cells (efferocytosis), backup mechanisms are required to cope with DAMPs (HMGB-1, DNA, RNA, S100 molecules, ATP and adenosine) and other intracellular material (uric acid, intracellular proteins and their aggregates) released from cells, that were not properly cleared and have entered the stage of secondary necrosis. Furthermore, under certain pathologic conditions (e.g. gout, cancer, diabetes) non-apoptotic cell death may transiently occur (NETosis, necroptosis, pyroptosis) which generates material that also has to be cleared to avoid overloading tissues with non-functional cellular waste. Efficient efferocytosis is therefore indispensable for normal tissue turnover and homeostasis. The characterization of various signalling pathways that regulate this complex and evolutionary conserved process has shed light on new pathogenetic mechanisms of many diseases. Impaired clearance promotes initiation of autoimmunity as well as the perpetuation of chronic inflammation, but may also foster anti-tumor immunity under certain microenvironmental conditions. Immunological tolerance is continuously being challenged by the presence of post-apoptotic remnants in peripheral lymphoid tissues. Besides the autoimmune phenotype of chronic inflammatory rheumatoid disorders a plethora of pathologies have been associated with defects in genes involved in clearance, e.g. atherosclerosis, cancer, gout, diabetes, some forms of blindness, neuropathy, schizophrenia and Alzheimer’s disease. The main goal of this research topic is to collect contributions from various disciplines committed to studying pathogenetic mechanisms of the aforementioned disorders and dealing with alterations in the clearance of dying and dead cells, their remnants, and their constituents that leak out after membrane rupture. Integrating the combined collection of knowledge on efferocytosis and clearance of dead cells and their derived waste from different fields of research in physiology and pathophysiology could improve the molecular understanding of these increasingly prevalent diseases and may ultimately result in new therapeutic strategies.

Predicting software performance in symmetric multi-core and multiprocessor Environments

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Book Series: The Karlsruhe Series on Software Design and Quality / Ed. by Prof. Dr. Ralf Reussner ISSN: 18670067 ISBN: 9783866443815 Year: Volume: 3 Pages: IV, 291 p. DOI: 10.5445/KSP/1000011806 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:01
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With today's rise of multi-core processors, concurrency becomes a ubiquitous challenge in software development.Performance prediction methods have to reflect the influence of multiprocessing environments on software performance in order to help software architects to find potential performance problems during early development phases. In this thesis, we address the influence of the operating system scheduler on software performance in symmetric multiprocessing environments.

Product lines for digital information products

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ISBN: 9783866441330 Year: Pages: XIV, 220 p. DOI: 10.5445/KSP/1000006402 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:02
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Digital information products are an important class of widely used digital products, whose core benefit is the delivery of information or education (e.g., electronic books, online newspapers, e-learning courses).This book introduces a novel and systematic approach, Product Lines for Digital Information Products (PLANT), which focuses on the creation of variants of such products within a product line, and which extends concepts from the area of software product lines.

Foundations of Software Science and Computation Structures: 21st International Conference, FOSSACS 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14–20, 2018. Proceedings

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Book Series: Theoretical Computer Science and General Issues ISSN: 0302-9743 ISBN: 9783319893655 9783319893662 Year: Pages: 583 DOI: https://doi.org/10.1007/978-3-319-89366-2 Language: English
Publisher: Springer Nature Grant: ETAPS e.V.
Subject: Computer Science
Added to DOAB on : 2018-06-26 16:52:58
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This book constitutes the proceedings of the 21st International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2018, which took place in Thessaloniki, Greece, in April 2018, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2018.The 31 papers presented in this volume were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections named: semantics; linearity; concurrency; lambda-calculi and types; category theory and quantum control; quantitative models; logics and equational theories; and graphs and automata.

Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems

Authors: --- ---
ISBN: 9783030439460 Year: Pages: 285 DOI: 10.1007/978-3-030-43946-0 Language: English
Publisher: Springer Nature
Subject: Computer Science --- Agriculture (General)
Added to DOAB on : 2020-05-14 09:30:09
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This open access book coherently gathers well-founded information on the fundamentals of and formalisms for modelling cyber-physical systems (CPS). Highlighting the cross-disciplinary nature of CPS modelling, it also serves as a bridge for anyone entering CPS from related areas of computer science or engineering. Truly complex, engineered systems—known as cyber-physical systems—that integrate physical, software, and network aspects are now on the rise. However, there is no unifying theory nor systematic design methods, techniques or tools for these systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions. A technique known as Multi-Paradigm Modelling has recently emerged suggesting to model every part and aspect of a system explicitly, at the most appropriate level(s) of abstraction, using the most appropriate modelling formalism(s), and then weaving the results together to form a representation of the system. If properly applied, it enables, among other global aspects, performance analysis, exhaustive simulation, and verification. This book is the first systematic attempt to bring together these formalisms for anyone starting in the field of CPS who seeks solid modelling foundations and a comprehensive introduction to the distinct existing techniques that are multi-paradigmatic. Though chiefly intended for master and post-graduate level students in computer science and engineering, it can also be used as a reference text for practitioners.

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Authors: ---
ISBN: 9783039213757 9783039213764 Year: Pages: 344 DOI: 10.3390/books978-3-03921-376-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR

Keywords

Vehicle-to-X communications --- Intelligent Transport Systems --- VANET --- DSRC --- Geobroadcast --- multi-sensor --- fusion --- deep learning --- LiDAR --- camera --- ADAS --- object tracking --- kernel based MIL algorithm --- Gaussian kernel --- adaptive classifier updating --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- joystick --- two-wheeled --- terrestrial vehicle --- path planning --- infinity norm --- p-norm --- kinematic control --- navigation --- actuation systems --- maneuver algorithm --- automated driving --- cooperative systems --- communications --- interface --- automated-manual transition --- driver monitoring --- visual tracking --- discriminative correlation filter bank --- occlusion --- sub-region --- global region --- autonomous vehicles --- driving decision-making model --- the emergency situations --- red light-running behaviors --- ethical and legal factors --- T-S fuzzy neural network --- road lane detection --- map generation --- driving assistance --- autonomous driving --- real-time object detection --- autonomous driving assistance system --- urban object detector --- convolutional neural networks --- machine vision --- biological vision --- deep learning --- convolutional neural network --- Gabor convolution kernel --- recurrent neural network --- enhanced learning --- autonomous vehicle --- crash injury severity prediction --- support vector machine model --- emergency decisions --- relative speed --- total vehicle mass of the front vehicle --- perception in challenging conditions --- obstacle detection and classification --- dynamic path-planning algorithms --- drowsiness detection --- smart band --- electrocardiogram (ECG) --- photoplethysmogram (PPG) --- recurrence plot (RP) --- convolutional neural network (CNN) --- squeeze-and-excitation --- residual learning --- depthwise separable convolution --- blind spot detection --- machine learning --- neural networks --- predictive --- vehicle dynamics --- electric vehicles --- FPGA --- GPU --- parallel architectures --- optimization --- panoramic image dataset --- road scene --- object detection --- deep learning --- convolutional neural network --- driverless --- autopilot --- deep leaning --- object detection --- generative adversarial nets --- image inpainting --- n/a

Intelligent Control in Energy Systems

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ISBN: 9783039214150 9783039214167 Year: Pages: 508 DOI: 10.3390/books978-3-03921-416-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

lithium-ion battery pack --- soft internal short circuit --- model-based fault detection --- battery safety --- internal short circuit resistance --- load frequency control --- model uncertainty --- ?-synthesis --- differential evolution --- decision tree --- preventive control --- Fault Ride Through Capability --- doubly-fed induction generator --- ancillary service --- frequency regulation --- demand response --- commercial/residential buildings --- HVAC systems --- model predictive control --- rule-based control --- position control --- static friction --- exhaust gas recirculation (EGR) valve system --- automotive application --- hybrid electric vehicle --- compound structured permanent-magnet motor --- energy management strategy --- instantaneous optimization minimum power loss --- back propagation (BP) neural network --- power transformer winding --- vibration characteristics --- multiphysical field analysis --- short-circuit experiment --- winding-fault characteristics --- occupancy model --- occupancy-based control --- model predictive control --- energy efficiency --- building climate control --- solar monitoring system --- photovoltaic array --- energy management --- demand side management --- operation limit violations --- probabilistic power flow --- network sensitivity --- neural networks --- railway --- high-speed railway --- neutral section --- medium voltage --- thyristor --- AC static switch --- adaptive backstepping --- nonlinear power systems --- sliding mode control --- error compensation --- ?-class function --- energy internet --- multi-energy complementary --- integrated energy systems --- distribution network planning --- electric power consumption --- multi-step forecasting --- long short term memory --- convolutional neural network --- system identification --- parameter estimation --- system modelling --- model reduction --- polynomial expansion --- orthogonal least square --- industrial process --- electric vehicle --- battery packs --- active balance --- model predictive control --- hierarchical Petri nets --- urban microgrids --- phase-load balancing --- fuzzy logic controller --- MPPT: maximum power point tracking --- photovoltaic system --- step-up boost converter --- proton exchange membrane fuel cell --- four phases interleaved boost converter --- neural network controller --- AC-DC converters --- bridgeless SEPIC PFC converter --- repetitive controller --- current distortion --- current controller design --- stochastic power system operating point drift --- wind integrated power system --- power oscillations --- adaptive damping control --- continuous voltage control --- multiple-point control --- interaction minimization --- pilot point --- adjacent areas --- ANFIS --- artificial neural network --- fuzzy --- small scale compressed air energy storage (SS-CAES) --- voltage controlling --- electric meter --- error estimation --- line loss --- RLS --- double forgetting factors --- hybrid power plant --- control architecture --- coordination of reserves --- frequency support --- frequency control dead band --- fast frequency response --- frequency containment reserve --- line switching --- voltage violations --- three-stage --- fractional order fuzzy PID controller --- neural network algorithm --- PEM fuel cell --- MPPT operation --- sensitivity analysis --- intelligent control --- artificial intelligence --- energy management system --- smart micro-grid --- energy systems --- intelligent buildings --- forecasting --- multi-agent control --- optimization

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