الصفحة 11
الصفحة 11
Direct and inverse Sturm-Liouville problems : A method of solution
This book provides an introduction to the most recent developments in the theory and practice of direct and inverse Sturm-Liouville problems on finite and infinite intervals. A universal approach for practical solving of direct and inverse spectral and scattering problems is presented, based on the notion of transmutation (transformation) operators and their efficient construction. Analytical representations for solutions of Sturm-Liouville equations as well as for the integral kernels of the transmutation operators are derived in the form of functional series revealing interesting special features and lending themselves to direct and simple numerical solution of a wide variety of problems.
Digitization of the management accounting function : A case study analysis on manufacturing companies
Analyzes the impact of digitization on management accounting in five manufacturing companies. It is one of the first in-depth empirical studies on the intersection of management accounting and digitization. The study suggests that there are two archetypes of digitization of the management accounting function. The first archetype emphasizes top-down-driven changes that aim to enhance efficiency, such as conducting tasks with a higher degree of automation in a leaner structure with fewer resources. The second archetype is strongly driven and initiated by employees in the management accounting function (bottom-up). The focus is on improving the use of data by applying innovative analytics methods, integrating additional sources of data, and benefiting from new technologies like artificial intelligence. The results of the study also indicate that digitization of the management accounting function is mostly in line with the overall company strategy.
Digital transformation of the Laboratory : A practical guide to the connected lab
Digital Transformation of the Laboratory: A Practical Guide to the Connected Lab delivers essential and transformative new insights into current and future technologies and strategies for the digitization of laboratories. Thoroughly supported and backed-up with contributions from thought and industry leaders, the book shows scientists in academia and industry how to move from paper to digital in their own labs.
Digital Simulation in Electrochemistry
The book shows how to numerically solve the parabolic partial differential equations (pdes) encountered in electroanalytical chemistry. It does this in a didactic manner, by first introducing the basic equations to be solved and some model systems as text cases, for which solutions exist. Then it treats basic numerical approximation for derivatives and techniques for the numerical solution of ordinary differential equations, from which the more complicated methods for pdes can be derived. The major implicit methods are described in detail, and the handling of homogeneous chemical reactions, including coupled and nonlinear cases, is detailed. More advanced techniques are presented briefly, as well as some commercially available program packages.
Digital Satellite Communications
Digital Satellite Communications focuses on the study and design of efficient and flexible physical layers for broadband mobile and fixed satellite links. The chapters address long-term developments for advanced physical layer techniques in broadband communications, fixed and mobile terminals, and 4G evolutions with a potential convergence between different technologies. A general description of satellite systems and services is provided which organizes the material into a generalized and readable framework. The approach is both analytical and descriptive.
Digital platforms in finance and supply chain management : Governance, ethics, and industry 5.0
A comprehensive analysis of digital platforms as the driving force of the modern economy, exploring their evolution, governance, and integration across financial and supply chain ecosystems. It presents a synthesis of theories, strategic models, and empirical insights to address the complexities of platform economies, making it an essential resource for scholars, policymakers, and industry practitioners. It is structured around core principles of digital platforms, including their definition, key features, and transformative impact on value creation. It delves into governance and ethical considerations, examining global regulatory frameworks and the emerging paradigms of Industry 5.0, where digital platforms intersect with economic, social, and environmental sustainability. The theoretical foundations are rooted in network effects, New Economic Geography, Platform Economics, Agency Theory, and Systems Theory, offering a robust analytical framework for understanding scalability, competition, and strategic decision-making in platform ecosystems. Two important areas -finance and supply chains-are explored in depth.
Digital marketing
Covers general topics of digital marketing and seven chapters focused on how to use marketing theory and concepts, in combination with digital marketing tools, to “do digital marketing.” grounded in marketing theory and concepts taking a strategic and analytical approach with global examples - relevant chapters designed through “thinking about global digital marketing” “legal and ethical issues” “privacy and security considerations” and “value creation” latest digital marketing tools with emphasizing current marketing trends and showcasing how tools should be applied - hands-on digital marketing exercises, including mocking up a website (using tools, not programming), creating google search ad campaigns, creating social media and community content with additional direction toward industry certifications such as google ads, social media, and email marketing.
Digital analytics for marketing
Provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Also demonstrates how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. It overs timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box.
Difficult Decisions in Thoracic Surgery : An Evidence-Based Approach
Brief chapters are devoted to a specific question or decision in general thoracic surgery that is difficult or controversial. Although some of the content may be available in major thoracic texts, rarely are such questions posed specifically and analyzed according to the level of supporting evidence available. This book is unique in aiming to address the issues in the most clear and informed manner possible; the chapters contain both evidence-based recommendations and descriptions of surgeons’ personal practices based on their experience and the published literature. Chapters are organized around clearly identified recommendations. This provides uniformity to the presentations, making possible the identification of useful material at a glance. A general introduction describes evidence-based data and their use, decision analytic models, and how both physicians and patients make decisions currently. Over 50 different topics are then presented, including a review of available evidence and a general discussion of recommended practice.
Differential Geometry and Analysis on CR Manifolds
The study of CR manifolds lies at the intersection of three main mathematical disciplines: partial differential equations, complex analysis in several complex variables, and differential geometry. While the PDE and complex analytic aspects have been intensely studied in the last fifty years, much effort has recently been made to understand the differential geometric side of the subject. This monograph provides a unified presentation of several differential geometric aspects in the theory of CR manifolds and tangential Cauchy–Riemann equations. It presents the major differential geometric acheivements in the theory of CR manifolds, such as the Tanaka–Webster connection, Fefferman's metric, pseudo-Einstein structures and the Lee conjecture, CR immersions, subelliptic harmonic maps as a local manifestation of pseudoharmonic maps from a CR manifold, Yang–Mills fields on CR manifolds, to name a few. It also aims at explaining how certain results from analysis are employed in CR geometry.Motivated by clear exposition, many examples, explicitly worked-out geometric results, and stimulating unproved statements and comments referring to the most recent aspects of the theory.
Diagnosis and Fault-Tolerant Control
The book presents effective model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault throughout the process, to test the fault detectability and to find the redundancies in the process that can be used to ensure fault tolerance. Design methods for diagnostic systems and fault-tolerant controllers are presented for processes that are described by analytical models, by discrete-event models or that can be dealt with as quantised systems. Five case studies on pilot processes show the applicability of the presented methods. The theoretical results are illustrated by two running examples used throughout the book.
Detection and analysis of SARS Coronavirus : Advanced biosensors for pandemic viruses and related pathogens
The highly contagious SARS CoV-2 pathogen has challenged health systems around the world as they struggle to detect and monitor the spread of the pathogen. In Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens expert chemists Chaudhery Mustansar Hussain and Sudheesh K. Shukla deliver a practical analysis of how contactless coronavirus detectors may be developed using existing biosensor technology.
Designing Digital Work : Concepts and Methods for Human-centered Digitization
This book could well be the most comprehensive collection to date of integrated ideas on the elicitation, representation, integration and digitization of work processes and collaboration. The authors take a heavily human-centered approach while never losing sight of engineering aspects involved. Rooted in relevant theories, they present a set of practice-oriented tools and methods that will help bring work and work support into the hyper connected, data-driven era we are now entering.
Designing big data platforms : How to use, deploy, and maintain big data systems
Provides expert guidance and valuable insights on getting the most out of Big Data systems. Helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management / Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems / Highlights and explains how data is processed at scale / Includes an introduction to the foundation of a modern data platform
Defending Life : The Nature of Host-Parasite Relations
Defending Life discusses the relationship between hosts and parasites. A major contention of the book is that the immune system depends ontologically on the ecosystem in which it is embedded; it would not have the features it has if it was not related in one way or other to parasitic agents and to the host’s own cells and tissues. To sustain the argument, life is investigated at all layers – from molecules up through cells, organisms and ecosystems. Together with the inverse course, which goes from ecological contingencies down to gene-expression profiles, the approach facilitates an advanced understanding of immunocompetence as well as its converse, immunoincompetence. The emphasis on analytical abstractions, coherent patterns and generative mechanisms makes possible the distinction between genuine causality and coincidental associations, and thus increases the understanding of why we observe what we observe. The book contains detailed descriptions of the immune system and the microbial world as well as methodological and conceptual clarifications.
Deep Learning-Based Face Analytics
Provides an overview of different deep learning-based methods for face recognition and related problems. Specifically, the authors present methods based on autoencoders, restricted Boltzmann machines, and deep convolutional neural networks for face detection, localization, tracking, recognition, etc. The authors also discuss merits and drawbacks of available approaches and identifies promising avenues of research in this rapidly evolving field.
Deep fake detection
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is “deepfake”. Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. The proposal of technologies that can automatically detect and assess the integrity of digital visual media is therefore indispensable.
Deep eutectic polvents : Synthesis, properties, and applications
Deep Eutectic Solvents contains a comprehensive review of the use of deep eutectic solvents (DESs) as an environmentally benign alternative reaction media for chemical transformations and processes. The contributors cover a range of topics including synthesis, structure, properties, toxicity and biodegradability of DESs. The book also explores myriad applications in various disciplines, such as organic synthesis and (bio)catalysis, electrochemistry, extraction, analytical chemistry, polymerizations, (nano)materials preparation, biomass processing, and gas adsorption.
Deep Data Analytics for New Product Development
The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole.
Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks
A selection of applications of ANP to economic, social and political decisions, and also to technological design. The chapters comprise contributions of scholars, consultants and people concerned about the outcome of certain important decisions who applied the Analytic Network Process to determine the best outcome for each decision from among several potential outcomes.
