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This book examines in detail approximate fixed point theory in different classes of topological spaces for general classes of maps. It offers a comprehensive treatment of the subject that is up-to-date, self-contained, and rich in methods, for a wide variety of topologies and maps. Content includes known and recent results in topology (with proofs), as well as recent results in approximate fixed point theory.This work starts with a set of basic notions in topological spaces. Special attention is given to topological vector spaces, locally convex spaces, Banach spaces, and ultrametric spaces. Sequences and function spaces¿and fundamental properties of their topologies¿are also covered. The reader will find discussions on fundamental principles, namely the Hahn-Banach theorem on extensions of linear (bounded) functionals; the Banach open mapping theorem; the Banach-Steinhaus uniform boundedness principle; and Baire categories, including some applications. Also included areweak topologies and their properties, in particular the theorems of Eberlein-Smulian, Goldstine, Kakutani, James and Grothendieck, reflexive Banach spaces, l_{1}- sequences, Rosenthal's theorem, sequential properties of the weak topology in a Banach space and weak* topology of its dual, and the Fréchet-Urysohn property.The subsequent chapters cover various almost fixed point results, discussing how to reach or approximate the unique fixed point of a strictly contractive mapping of a spherically complete ultrametric space. They also introduce synthetic approaches to fixed point problems involving regular-global-inf functions. The book finishes with a study of problems involving approximate fixed point property on an ambient space with different topologies.By providing appropriate background and up-to-date research results, this book can greatly benefit graduate students and mathematicians seeking to advance in topology and fixed pointtheory.
This book explores the benefits to online teaching incorporating extended reality technologies both from a teacher¿s and from a students¿ perspective. As we are all aware, the COVID-19 pandemic has created a worldwide lock down which is clearly visible in individuals¿ shifting behaviour as they are keeping away from public contact, large events, weddings, places of worship, public transportation, restaurant, flights, shopping malls, etc. People across the world have adopted to Work From Home (WFH) concept using digital technology. They are teaching, learning, conducting meetings, seminars, etc., using digital medium. As people were not allowed to go out and buy things, online shopping was in demand and extensible reality helped in marketing the products and customers could also have a better shopping experience. Gaming industry has always brought in many new games for children and adults. Healthcare sector also leveraged the benefits of this technology to the fullest extent. The useof augmented and virtual reality in art and museum is also highlighted. Our book presents the different sectors that have benefitted using this technology during this time of crisis. This book will be very useful for students, professionals and researchers working in the area of virtual, augmented or mixed reality. Our aim is to bring out the use of this technology during the COVID-19 pandemic so that the readers are exposed to the various applications of this technology.
This book will benefit users in food security, agriculture, water management, and environmental sectors. It provides the first comprehensive analysis of Greater Horn of Africa (GHA)¿s food insecurity and hydroclimate using the state-of-the-art Gravity Recovery and Climate Experiment (GRACE) and its Follow-on (GRACE-FO)¿s, centennial precipitation, hydrological models¿ and reanalysis¿ products. It is here opined that GHA is endowed with freshwater (surface and groundwater) being home to the world's second largest freshwater body (Lake Victoria) and the greatest continental water towers (Ethiopian Highlands) that if properly tapped in a sustainable way, will support its irrigated agriculture as well as pastoralism. First, however, the obsolete Nile treaties that hamper the use of Lake Victoria (White Nile) and Ethiopian Highland (Blue Nile) have to be unlocked. Moreover, GHA is bedevilled by poor governance and the ``donor-assistance¿ syndrome; and in 2020-2021 faced the so-called ``triple threats¿¿ of desert locust infestation, climate variability/change impacts and COVID-19 pandemic. Besides, climate extremes influence its meagre waters leading to perennial food insecurity. Coupled with frequent regional and local conflicts, high population growth rate, low crop yield, invasion of migratory pests, contagious human and livestock diseases (such as HIV/AIDs, COVID-19 & Rift Valley fever) and poverty, life for more than 310 million of its inhabitants simply becomes unbearable. Alarming also is the fact that drought-like humanitarian crises are increasing in GHA despite recent progress in its monitoring and prediction efforts. Notwithstanding these efforts, there remain challenges stemming from uncertainty in its prediction, and the inflexibility and limited buffering capacity of the recurrent impacted systems. To achieve greater food security, therefore, in addition to boosting GHA's agricultural output, UN Office for the Coordination of Humanitarian Affairs suggest that its ¿inhabitants must create more diverse and stable means of livelihood to insulate themselves and their households from external shocks¿. This is a task that they acknowledge will not be easy as the path ahead is ¿strewn with obstacles namely; natural hazards and armed conflicts¿. Understanding GHA¿s food insecurity and its hydroclimate as presented in this book is a good starting point towards managing the impacts of the natural hazards on the one hand while understanding the impacts associated with extreme climate on GHA's available water and assessing the potential of its surface and groundwater to support its irrigated agriculture and pastoralism would be the first step towards ¿coping with drought¿ on the other hand.The book represents a significant effort by Prof Awange in trying to offer a comprehensive overview of the hydroclimate in the Greater Horn of Africa (GHA). Prof Eric F. Wood, NAE (USA); FRSC (Canada); Foreign member, ATSE (Australia).
¿In order to cope with the increased radiation level and the challenging pile-up conditions at High Luminosity-LHC, the CMS collaboration will replace its current calorimeter endcaps with the High Granularity Calorimeter (HGCAL) in the mid 2020s. This dissertation addresses two important topics related to the preparation of the HGCAL upgrade: experimental validation of its silicon- based design and fast simulation of its data. Beam tests at the DESY (Hamburg) and the CERN SPS beam test facilities in 2018 have been the basis for the design validation. The associated experimental infrastructure, the algorithms deployed in the reconstruction of the recorded data, as well as the respective analyses are reported in this thesis: First, core components of the silicon-based prototype modules are characterised and it is demonstrated that the assembled modules are functional. In particular, their efficiency to detect minimum ionising particles (MIPs) traversing the silicon sensors is found to be more than 98% for most of the modules. No indication of charge sharing between the silicon pads is observed. Subsequently, the energy response is calibrated in situ using the beam test data. Equalisation of the different responses among the readout channels is achieved with MIPs hereby deploying the HGCAL prototype as a MIP-tracking device. The relative variation of the inferred calibration constants amounts to 3% for channels on the same readout chip. The calibration of the time-of-arrival information is performed with an external time reference detector. With it, timing resolutions of single cells including the full prototype readout chain around 60ps in the asymptotic high energy limit are obtained. The calorimetric performance of the HGCAL prototype is validated with particle showers induced by incident positrons and charged pions. For electromagnetic showers, the constant term in the relative energy resolution is measured to be (0.52± 0.08) %, whereas the stochastic term amounts to (22.2 ± 0.3)% vGeV. This result is in good agreement with the calorimeter simulation with GEANT4. The prototype's positioning resolution of the shower axis, after subtracting the contribution from the delay wire chambers in the beam line used as reference, is found to be below 0.4 mm at 300 GeV. At the same energy, the angular resolution in the reconstruction of the electromagnetic shower axis in this prototype is measured to be less than 5mrad. The analysis of the hadronic showers in this thesis makes use state-of-the- art machine-learning methods that exploit the calorimeter's granularity. It is indicated that the energy resolution may be improved using software compensation and also that the separation of electromagnetic and charged pion-induced showers in the calorimeter may benefit from such methods. The measurements of the hadronic showers are adequately reproduced by GEANT4 simulation. Altogether, the obtained results from the analysis of the beam test data in this thesis are in agreement with the full functionality of the silicon-based HGCAL design. The final part of this thesis provides a proof of principle that generative modelling based on deep neural networks in conjunction with the Wasserstein distance is a suitable approach for the fast simulation of HGCAL data: Instead of sequential simulation, a deep neural network-based generative model generates all calorimeter energy depositions simultaneously. This genera t or network is optimised throu gh an adversarial training process using a critic network guided by the Wasserstein distance. The developed framework in this thesis is applied to both GEANT4- simulated electromagnetic showers and to positron data from the beam tests. Ultimately, this fast simulation approach is up to four orders of magnitude faster than sequential simulation with GEANT4. It is able to produce realistic calorimeter energy depositions from electromagnetic showers, incorporating their fluctuations and correlations when converted into typical calorimeter observables.
Nanotechnology, biotechnology, information technology, and cognitive sciences are contributing to the emergence of intelligent computers and robots with elements of artificial intelligence and intelligent machines. This book postulates that these developments are accelerating the technological substitution of jobs and the shift in labor demand towards high qualification levels, putting the jobs of lower-skilled labor at risk. The digital economy is poised to increase the demand for highly qualified specialists in STEM fields (scientific research, innovative technologies, engineering, and mathematics serving digital technologies). In addition, highly skilled robotics engineers, AI and machine learning specialists, and virtual and augmented reality architects will be required.This book, using sector-focused mathematical models, explores how the demand for specialized human capital will play a decisive role in increasing the efficiency and productivity of labor in the digital economy. Success is guaranteed to those entrepreneurs who manage to establish a successful process of interaction with intelligent machines, which will require a deep restructuring of the training system for the digital economy.
This book is the first comprehensive compilation of deliberations on botany, medicinal importance, genetic diversity, classical genetics and breeding, in vitro biosynthesis, somatic embryogenesis, genetic transformation, molecular mapping, genome sequence, and functional genomics of Catharanthus roseus. Catharanthus is the most important medicinal plant in the world that contains about 130 therapeutic alkaloids out of which vinblastine and vincristine are the two highly used anticancer drugs sold by the pharmaceutically industries. Altogether, the book contains about 10 chapters authored by globally reputed experts on the relevant field of this plant. This book is useful to the students, teachers and scientists in the academia and relevant private companies interested in horticulture, genetics, breeding, pathology, entomology, physiology, molecular genetics and breeding, in vitro culture and genetic engineering, and structural and functional genomics. This book is also useful to pharmaceutical industries.
The concept for this book evolved over many years of intense clinical practice during which a wide variety of vascular complications were encountered as a result of other surgical or interventional procedures. In this book, the authors describe cohesive efforts by experts in the field as they commit to advancing health care quality by all professionals. It should be noted at the outset that the book does not discuss various non-vascular or systemic complications of patients undergoing vascular interventions such as myocardial infarction, renal or respiratory failure. Instead, the content is divided into four separate sections. The material begins with an introduction to vascular anatomy and function. There follows a section addressing specific complications of the vascular system that can occur in any patient, sometimes even without intervention. The third section addresses complications specific to interventions and surgical procedures. The final section is dedicated to the delayed and long-term sequelae attributable to the most commonly encountered vascular complications.Vascular Complications of Surgery and Intervention: A Practical Guide is targeted towards dedicated health care professionals managing patients affected by inadvertent but potentially disastrous vascular complications and for those practitioners performing interventions either directly upon the vascular system or procedures that have potential for collateral impact.
Algorithms are ubiquitous in our daily lives. They affect the way we shop, interact, and make exchanges on the marketplace. In this regard, algorithms can also shape competition on the marketplace. Companies employ algorithms as technologically innovative tools in an effort to edge out competitors. Antitrust agencies have increasingly recognized the competitive benefits, but also competitive risks that algorithms entail. Over the last few years, many algorithm-driven companies in the digital economy have been investigated, prosecuted and fined, mostly for allegedly unfair algorithm design. Legislative proposals aim at regulating the way algorithms shape competition. Consequently, a so-called ¿algorithmic antitrust¿ theory and practice have also emerged. This book provides a more innovation-driven perspective on the way antitrust agencies should approach algorithmic antitrust. To date, the analysis of algorithmic antitrust has predominantly been shaped by pessimistic approaches to the risks of algorithms on the competitive environment. With the benefit of the lessons learned over the last few years, this book assesses whether these risks have actually materialized and whether antitrust laws need to be adapted accordingly. Effective algorithmic antitrust requires to adequately assess the pro- and anti-competitive effects of algorithms on the basis of concrete evidence and innovation-related concerns. With a particular emphasis on the European perspective, this book brings together experts and scrutinizes on the implications of algorithmic antitrust for regulation and innovation.
The work contains selected and thoroughly reviewed research papers of the topics Operations Management, Supply Chain Management, Digitalization, Sustainability, Transportation Management, Process Management, Risk Management, Corporate Social Responsibility and Governance.
This book introduces a generic approach to model the use and adaptation of mental models, including the control over this.
This book covers most of the damage mechanism in the scope of mechanical engineering and civil engineering. The failure pattern of various materials and structures is mainly discussed. The sub-topics covers fatigue damage, fatigue crack initiation and propagation, life prediction techniques, computational fracture mechanics, dynamic fracture, damage mechanics and assessment, non-destructive test (NDT), concrete failure assessment, failure on soil structures, structural durability and reliability, structural health monitoring, construction damage recovery, and any relevant topics related to failure analysis.
This book covers the current trends and challenges faced by regulators, policymakers, and researchers in the field of retail electricity market design and regulation.
ΓÇïThis book functions as a comprehensive manual for emergency care providers who are treating critically ill COVID-19 patients. Beginning with an overview of the COVID-19 infection and an examination of the patients who received critical care from hospital emergency departments around the country, this book provides clinicians with a guide to best-practices in everything from personal protection while deploying critical care to COVID-19 patients to evaluation and diagnosis of the illness. Subsequent chapters break down care of various comorbidities seen in COVID-19 patients and the care offered to patients suffering from the illness in a multitude of ways. Closing chapters examine how emergency departments can best prepare for potential surges in COVID-19 patients as the illness continues to develop, providing important information on how to best protect hospital employees and best care for future patients in a constantly shifting landscape.Due to the rapid onset of the illness and strong-hold the pandemic had on the lives and careers of healthcare professionals, Critical Care of COVID-19 in the Emergency Department fills a critical gap in the literature available on this topic.
This sixth edition provides an overview of fetal and neonatal pathology through a system-based approach. This book contains new chapters on immunology, with a continued focus on molecular aspects of pathology in the perinatal setting. The general principles of perinatal pathology and their clinical situations are also discussed, along with specific pathological entities and their organ systems. KeelingΓÇÖs Fetal and Neonatal Pathology, sixth edition aims to help the reader treat common problems through anatomical pathology findings and is relevant to practicing and trainee pathologists, obstetricians, maternal and fetal medicine specialists, neonatologists, and pediatricians.
This book explores the premise that a physical theory is an interpretation of the analyticöcanonical formalism. Throughout the text, the investigation stresses that classical mechanics in its Lagrangian formulation is the formal backbone of theoretical physics. The authors start from a presentation of the analyticöcanonical formalism for classical mechanics, and its applications in electromagnetism, Schrödinger's quantum mechanics, and field theories such as general relativity and gauge field theories, up to the Higgs mechanism.The analysis uses the main criterion used by physicists for a theory: to formulate a physical theory we write down a Lagrangian for it. A physical theory is a particular instance of the Lagrangian functional. So, there is already an unified physical theory. One only has to specify the corresponding Lagrangian (or Lagrangian density); the dynamical equations are the associated Euler¿Lagrange equations. The theory of Suppes predicates as the main tool inthe axiomatization and examples from the usual theories in physics. For applications, a whole plethora of results from logic that lead to interesting, and sometimes unexpected, consequences.This volume looks at where our physics happen and which mathematical universe we require for the description of our concrete physical events. It also explores if we use the constructive universe or if we need set¿theoretically generic spacetimes.
This book is the first monograph that takes a comprehensive approach to Jacques Derrida as a philosopher of technology. It refines and complements his mainstream image as a philosopher of language and deconstructionist of classical literary and philosophical texts. This volume outlines the key features of DerridaΓÇÖs alternative philosophy of technology, a philosophy which Sj├╢strand argues, avoids the problems associated with, on the one hand, a Heideggerian orientation, which completely separates thinking and technology and, on the other, an empirically oriented ΓÇ¥post-phenomenologyΓÇ¥ that can be said to be hegemonic within the field today.Based on a sustained interpretation of Derrida, and a robust, coherent philosophy of technology, a phenomenology of technology is developed that, in a radical way, extends the concept of technology to cover the entire field of phenomenology. This places the technological not in opposition to humanity, but rather always already in close proximity to man and, consequently, to life, ethics, politics, democracy and religion. Strikingly, this important aspect of DerridaΓÇÖs thinking is only rarely analyzed or discussed by his many exegetes. This text appeals to graduates and researchers working on Derrida, phenomenology, and the philosophy of technology.
Chronic kidney disease (CKD) is a major global public health problem, affecting nearly one in seven adults in the United States alone. The first 2 chapters provide a bit of background on the disease, describing the anatomy and physiology of the kidney as well as the definition and epidemiology of the disease.
This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.
The book systematically describes the clinical and scientific aspects of cardiovascular calcification. Cardiovasular Calcification details relevant aspects of the basic science and reviews the latest pathological and therapeutic techniques used in treating patients with cardiovascular calcification.
This eighteenth volume in the Poincare Seminar Series provides a thorough description of Information Theory and some of its most active areas, in particular, its relation to thermodynamics at the nanoscale and the Maxwell Demon, and the emergence of quantum computation and of its counterpart, quantum verification.
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