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Systems Biology and Machine Learning Methods in Reproductive Health (Chapman & Hall/CRC Computational Biology Series)
by Dinesh Gupta Abhishek Sengupta Priyanka Narad Deepak ModiSystems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
Systems Biology of Metabolic and Signaling Networks
by Miguel A. Aon Valdur Saks Uwe SchlattnerSystems Biology represents a new paradigm aiming at a whole-organism-level understanding of biological phenomena, emphasizing interconnections and functional interrelationships rather than component parts. The study of network properties, and how they control and regulate behavior from the cellular to organism level, constitutes a main focus of Systems Biology. This book addresses from a novel perspective a major unsolved biological problem: understanding how a cell works and what goes wrong in pathology. The task undertaken by the authors is in equal parts conceptual and methodological, integrative and analytical, experimental and theoretical, qualitative and quantitative, didactic and comprehensive. Essentially, they unravel the spatio-temporal unfolding of interacting mass-energy and information networks at the cellular and organ levels, as well as its modulation through activation or repression by signaling networks to produce a certain phenotype or (patho)physiological response. Starting with the historical roots, in thirteen chapters this work explores the Systems Biology of signaling networks, cellular structures and fluxes, organ and microorganism functions. In doing so, it establishes the basis of a 21st century approach to biological complexity.
Systems Engineering Demystified: A practitioner's handbook for developing complex systems using a model-based approach
by Jon HoltGet to grips with systems engineering life cycles, processes, and best practices and discover techniques to successfully develop complex systemsKey FeaturesDiscover how to manage increased complexity and understand systems better via effective communicationAdopt a proven model-based approach for systems engineering in your organizationApply proven techniques for requirements, design, validation and verification, and systems engineering managementBook DescriptionSystems engineering helps us to understand, specify, and develop complex systems, and is applied across a wide set of disciplines. As systems and their associated problems become increasingly complex in this evermore connected world, the need for more rigorous, demonstrable, and repeatable techniques also increases. Written by Professor Jon Holt – an internationally recognized systems engineering expert – this book provides a blend of technical and business aspects you need to understand in order to develop successful systems. You'll start with systems engineering basics and understand the complexity, communication, and different stakeholders' views of the system. The book then covers essential aspects of model-based systems engineering, systems, life cycles, and processes, along with techniques to develop systems. Moving on, you'll explore system models and visualization techniques, focusing on the SysML, and discover how solutions can be defined by developing effective system design, verification, and validation techniques. The book concludes by taking you through key management processes and systems engineering best practices and guidelines. By the end of this systems engineering book, you'll be able to confidently apply modern model-based systems engineering techniques to your own systems and projects.What you will learnUnderstand the three evils of systems engineering - complexity, ambiguous communication, and lack of understandingRealize successful systems using model-based systems engineeringUnderstand the concept of life cycles and how they control the evolution of a systemExplore processes and related concepts such as activities, stakeholders, and resourcesDiscover how needs fit into the systems life cycle and which processes are relevant and how to comply with themFind out how design, verification, and validation fit into the life cycle and processesWho this book is forThis book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of systems engineering. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.
Systems Engineering Neural Networks
by Alessandro Migliaccio Giovanni IannoneSYSTEMS ENGINEERING NEURAL NETWORKS A complete and authoritative discussion of systems engineering and neural networks In Systems Engineering Neural Networks, a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you’ll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from deep learning fundamentals to sport business applications. Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel. The book provides: A thorough introduction to neural networks, introduced as key element of complex systems Practical discussions of systems engineering and forecasting, complexity theory and optimization and how these techniques can be used to support applications outside of the traditional AI domains Comprehensive explorations of input and output, hidden layers, and bias in neural networks, as well as activation functions, cost functions, and back-propagation Guidelines for software development incorporating neural networks with a systems engineering methodology Perfect for students and professionals eager to incorporate machine learning techniques into their products and processes, Systems Engineering Neural Networks will also earn a place in the libraries of managers and researchers working in areas involving neural networks.
Systems Engineering in Context: Proceedings of the 16th Annual Conference on Systems Engineering Research
by William T. Scherer James H. Lambert Stephen Adams Peter A. Beling Cody H. FlemingThis volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward‐looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co‐founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe. Topics include though are not limited to the following: Systems in context: · Formative methods: requirements · Integration, deployment, assurance · Human Factors · Safety and Security Decisions/ Control & Design; Systems Modeling: · Optimization, Multiple Objectives, Synthesis · Risk and resiliency · Collaborative autonomy · Coordination and distributed decision-making Prediction: · Prescriptive modeling; state estimation · Stochastic approximation, stochastic optimization and control Integrative Data engineering: · Sensor Management · Design of Experiments
Systems Evaluation: Methods, Models, and Applications (Systems Evaluation, Prediction, and Decision-Making)
by Sifeng Liu Naiming Xie Chaoqing Yuan Zhigeng FangA book in the Systems Evaluation, Prediction, and Decision-Making Series, Systems Evaluation: Methods, Models, and Applications covers the evolutionary course of systems evaluation methods, clearly and concisely. Outlining a wide range of methods and models, it begins by examining the method of qualitative assessment. Next, it describes the process
Systems Medicine
by Ulf Schmitz Olaf WolkenhauerThis volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outlook on the role that systems medicine may or should play in various medical fields, and describe different facets of the systems medicine approach in action. Ultimately it introduces tools, resources and methodologies from bioinformatics and systems biology, and how to apply these in a systems medicine project. Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, and discuss experimental and computational approaches, methods, and tools that should be considered for a successful systems medicine project. Systems Medicine aims to motivate and provide guidance for collaborations across disciplines to tackle today's challenges related to human health and well-being.
Systems Medicine: Physiological Circuits and the Dynamics of Disease (Chapman & Hall/CRC Computational Biology Series)
by Uri AlonWhy do we get certain diseases, whereas other diseases do not exist? In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine. Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them. By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases. Alon writes in a style accessible to a broad range of readers - undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been rigorously tested in the classroom
Systems Metabolic Engineering
by Sang Yup Lee Christoph WittmannSystems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production. Integrating systems biology and biotechnology with new concepts from synthetic biology enables the global analysis and engineering of microorganisms and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story - from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundaments to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter this exiting research field.
Systems Modeling
by Mukhtar AhmedAchieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops.
Systems Modeling: Methodologies and Tools (EAI/Springer Innovations in Communication and Computing)
by Kishor S. Trivedi Antonio PuliafitoThis book covers ideas, methods, algorithms, and tools for the in-depth study of the performance and reliability of dependable fault-tolerant systems. The chapters identify the current challenges that designers and practitioners must confront to ensure the reliability, availability, and performance of systems, with special focus on their dynamic behaviors and dependencies. Topics include network calculus, workload and scheduling; simulation, sensitivity analysis and applications; queuing networks analysis; clouds, federations and big data; and tools. This collection of recent research exposes system researchers, performance analysts, and practitioners to a spectrum of issues so that they can address these challenges in their work.
Systems Modelling and Management: First International Conference, ICSMM 2020, Bergen, Norway, June 25–26, 2020, Proceedings (Communications in Computer and Information Science #1262)
by Birgit Vogel-Heuser Önder Babur Joachim DenilThis book constitutes the refereed proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020, planned to be held in Bergen, Norway, in June 2020. Due to the COVID-19 pandemic the conference did not take place physically or virtually. The 10 full papers and 3 short papers were thoroughly reviewed and selected from 19 qualified submissions. The papers are organized according to the following topical sections: verification and validation; applications; methods, techniques and tools.
Systems Modelling and Simulation: First International Symposium, SMS 2024, Johor Bahru, Malaysia, December 16–17, 2024, Proceedings (Communications in Computer and Information Science #2483)
by Gary Tan Zaharuddin Mohamed Fazilah Hassan Anita Ahmad Leow Pei Ling Salinda BuyaminThis book CCIS 2483 constitutes the proceedings of the First International Symposium on Systems Modelling and Simulation, SMS 2024, held in Johor Bahru, Malaysia, during December 16–17, 2024. The 27 full papers were carefully reviewed and selected from 65 submissions. The proceedings focus on the applications of modelling and simulation to advanced systems such as robotics, smart manufacturing, intelligent systems and machine learning are of interest.
Systems Orthodontics: From Clinical Reasoning to Computation, and Back (Understanding Complex Systems)
by Guido Caldarelli Pietro Auconi Antonella PolimeniThis book marks one of the first applications of the Medicine Network discipline to an everyday scenario. It explores situations where patients, often in adolescence, grapple with the decision of whether to commence a treatment, seeking insights into the more plausible future scenarios. Additionally, the specific feedback from biological systems in the human body serves as a potent metaphor for addressing various challenges in the field of Complex Systems. In recent times, systems thinking and complexity theory have yielded substantial conceptual advancements across various research domains. In the context of orthodontics, these approaches offer a more comprehensive understanding in contrast to the traditional mechanistic approach, which primarily focuses on the analysis of applied forces. Systems thinking directs attention to the interaction among dentoskeletal components, where the behavior of one element can influence others. The amalgamation of multiple elements leads to entities with properties distinct from those of individual components. The increasing complexity of orthodontic reality beyond clinical or radiological observations necessitates the development of new theories. Complexity theory has demonstrated that emergent properties in biological systems can be discerned through appropriate computational models, as opposed to the analytical study of individual components. The central metaphor for the interactive craniofacial system during growth is portrayed by the facial topology revealed through network analysis, facilitating a systemic reevaluation of traditional orthodontic theories. This book delineates the novel insights derived from the clinical-computational approach, applicable for a prognostic and early interception perspective in managing dentofacial dysmorphoses. Its objective is to captivate practitioners and persuade them of the practical utility of these innovative approaches.
Systems Practice: How to Act in a Climate Change World
by Ray IsonIt is now accepted that humans are changing the climate of the Earth and this is the most compelling amongst a long litany of reasons as to why, collectively, we have to change our ways of thinking and acting. Most people now recognise that we have to be capable of adapting quickly as new and uncertain circumstances emerge: this capability will need to exist at personal, group, community, regional, national and international levels, all at the same time. Systems Practice is structured into four parts. Part I introduces the societal need to move towards a more systemic and adaptive governance against the backdrop of human-induced climate change. Part II unpacks what is involved in systems practice by means of a juggler metaphor; examining situations where systems thinking offers useful understanding and opportunities for change. Part III identifies the main factors that constrain the uptake of systems practice and makes the case for innovation in practice by means of systemic inquiry, systemic action research and systemic intervention. The book concludes with Part IV, which critically examines how systems practice is, or might be, utilised at different levels from the personal to the societal. The development of our capabilities to think and act systemically is an urgent priority and Systems Practice aims to show how to do systems thinking and translate that thinking into praxis (theory informed practical action) which will be welcomed by those managing in situations of complexity and uncertainty across all domains of professional and personal concern.
Systems Programming in Unix/Linux
by K. C. WangCovering all the essential components of Unix/Linux, including process management, concurrent programming, timer and time service, file systems and network programming, this textbook emphasizes programming practice in the Unix/Linux environment. Systems Programming in Unix/Linux is intended as a textbook for systems programming courses in technically-oriented Computer Science/Engineering curricula that emphasize both theory and programming practice. The book contains many detailed working example programs with complete source code. It is also suitable for self-study by advanced programmers and computer enthusiasts.Systems programming is an indispensable part of Computer Science/Engineering education. After taking an introductory programming course, this book is meant to further knowledge by detailing how dynamic data structures are used in practice, using programming exercises and programming projects on such topics as C structures, pointers, link lists and trees.This book provides a wide range of knowledge about computer systemsoftware and advanced programming skills, allowing readers to interface with operatingsystem kernel, make efficient use of system resources and develop application software.It also prepares readers with the needed background to pursue advanced studies inComputer Science/Engineering, such as operating systems, embedded systems, databasesystems, data mining, artificial intelligence, computer networks, network security,distributed and parallel computing.
Systems Science for Engineers and Scholars
by Avner EngelSystems Science for Engineers and Scholars Brings a powerful toolkit to bear on engineering and scientific endeavors. This book describes the fundamental principles of systems science so engineers and other scholars can put them into practical use at work and in their personal lives. Systems science aims to determine systemic similarities among different disciplines and to develop applicable solutions in many fields of inquiry. Systems Science for Engineers and Scholars readers will discover: Ten systems science principles that open engineers’ and scholars’ horizons to practical insights related to their areas of interest A methodology for designing holistic systems that exhibit resilient behavior to overcome systems’ context uncertainties The most critical current dilemma of humankind—the global environment and energy crises, as well as a systemic, no-nonsense action plan to deal with these issues Independent articles describing how engineers and scholars can utilize systems science creatively in (1) engineering and systemic psychology; (2) delivering value and resolving conflicts; (3) multi-objective, multi-agent decision-making; (4) systems engineering using category theory; (5) holistic risk management using systems of systems failures methodology; and (6) systemic accident and mishap analysis Systems Science for Engineers and Scholars contains a broad spectrum of insights as well as an extensive set of examples and graphics that make it ideal for professionals and students interested in a holistic, systems-oriented approach.
Systems Science: Methodological Approaches (Advances in Systems Science and Engineering (ASSE))
by Yi Lin Xiaojun Duan Chengli Zhao Li Da XuBy making use of the principles of systems science, the scientific community can explain many complicated matters of the world and shed new light on unsettled problems. Each real science has its own particular methodology for not only qualitative but also quantitative analyses, so it is important to understand the organic whole of systems research
Systems Thinkers
by Karen Shipp Magnus RamageThis book presents a biographical history of the field of systems thinking, by examining the life and work of thirty of its major thinkers. It discusses each thinker’s key contributions, the way this contribution was expressed in practice and the relationship between their life and ideas. This discussion is supported by an extract from the thinker’s own writing, to give a flavour of their work and to give readers a sense of which thinkers are most relevant to their own interests.
Systems Thinking for Instructional Designers: Catalyzing Organizational Change
by M. Aaron BondSystems Thinking for Instructional Designers offers real-world cases that highlight how designers foster continuous improvement and manage change efforts across organizational contexts. Using a systems thinking approach, each case describes a holistic process that examines how a set of interdependent elements can be analyzed and coordinated to influence change. Instructional designers, faculty, program directors, digital learning leaders, and other development specialists will learn how systems thinking can solve authentic, real-world challenges. The book’s rich narratives cover both successes and failures of meaningful growth, paradigm shifts, and large-scale problem-solving in a variety of settings, including education and industry.
Systems Thinking for Social Change: A Practical Guide to Solving Complex Problems, Avoiding Unintended Consequences, and Achieving Lasting Results
by David Peter StrohConcrete guidance on how to incorporate systems thinking in problem solving, decision making, and strategic planning―for everyone! <p><p>Donors, leaders of nonprofits, and public policy makers usually have the best of intentions to serve society and improve social conditions. But often their solutions fall far short of what they want to accomplish and what is truly needed. Moreover, the answers they propose and fund often produce the opposite of what they want over time. We end up with temporary shelters that increase homelessness, drug busts that increase drug-related crime, or food aid that increases starvation. <P><P>How do these unintended consequences come about and how can we avoid them? By applying conventional thinking to complex social problems, we often perpetuate the very problems we try so hard to solve, but it is possible to think differently, and get different results. <P><P>Systems Thinking for Social Change enables readers to contribute more effectively to society by helping them understand what systems thinking is and why it is so important in their work. It also gives concrete guidance on how to incorporate systems thinking in problem solving, decision making, and strategic planning without becoming a technical expert.
Systems and Computer Science: Proceedings of a Conference held at the University of Western Ontario September 10-11, 1965
by John Hart Satoru TakasuThis book presents the papers delivered at the Conference on Systems and Computer Science held at the University of Western Ontario in September 1965. The primary purposes of the Conference were the promotion of research and the development of the teaching of computer science in Canadian universities. The papers focus attention on some of the concepts of Computer Science as a new field of study and at the same time provide a background for scientists looking at the subject for the first time. The chief developments in computer science have been concerned with the "applied" rather than the "pure" areas of the field: numerical analysis, applied statistics and operations research, and data processing. But there is something more to computers than the physical components and this book represents an attempt to correct the imbalance between "applied" and "pure" by drawing attention to certain theoretical aspects of computer and information science. Among the topics discussed are the theory of finite and infinite automata, aspects of formal language theory, heuristic and non-heuristic approaches to theorem proving and the mathematical formulation of the theory of general systems. There are also references to the problems of machine design, to software systems including higher-level languages, to multiple control computer models and to applied systems. This collection of papers will appeal first to graduate students and professors in Computer Science. It will also be of interest to computer scientists in industry and in government and university research groups and to the scientific public interested in discovering some of the principal ingredients and directions of the computer and information sciences.
Systems and Computer Technology: Proceedings of the 2014 Internaional Symposium on Systems and Computer technology, (ISSCT 2014), Shanghai, China, 15-17 November 2014
by Xin Wang Yuan Ren Lipo Wang Yunfei Chen Xiaodong Liu Chunlei Ji Qiang SunThis volume consists of papers presented at the 2014 International Symposium on Systems and Computer Technology (ISSCT 2014, Shanghai, China, 15-17 November 2014). The demand for systems and informatics have been constantly increasing, as more and more computer applications have been built. Great efforts have been made to improve the state of the a
Systems and Frameworks for Computational Morphology
by Cerstin Mahlow Michael PiotrowskiThis book constitutes the refereed proceedings of the 4th International Workshop on Systems and Frameworks for Computational Morphology, SFCM 2015, held in Stuttgart, Germany, in September 2015. The 5 revised full papers and 5 short papers presented were carefully reviewed and selected from 16 submissions. The SFCM Workshops focus on linguistically motivated morphological analysis and generation, computational frameworks for implementing such systems, and linguistic frameworks suitable for computational implementation. SFCM 2015 and the papers presented in this volume aim at broadening the scope to include research on very underresourced languages, interactions between computational morphology and formal, quantitative, and descriptive morphology, as well as applications of computational morphology in the Digital Humanities.
Systems and Implemented Technologies for Data-Driven Innovation, addressing Data Spaces and Marketplaces Semantic Interoperability Needs: i3-MARKET Series - Part II: Data Economy, Models, Technologies and Solutions (River Publishers Series in Computing and Information Science and Technology)
by Martín Serrano Achille Zappa Waheed Ashraf Pedro Maló Márcio Mateus Edgar Fries Iván Martínez Alessandro Amicone Justina Bieliauskaite Marina CugurraIn the second i3-MARKET series book we review the basic technological principles, software best practices, and standards for implementing and deploying data spaces and data marketplaces. The book provides a definition for data-driven society as: The process to transform data production into data economy for the people using the emerging technologies and scientific advances in data science to underpin the delivery of data economic models and services. This book further discusses why data spaces and data marketplaces are the focus in today’s data-driven society as the trend to rapidly transform the data perception in every aspect of our activities. In this book, technology assets that are designed and implemented following the i3-MARKET backplane reference implementation (WebRI) that uses open data, big data, IoT and AI design principles is introduced. Moreover, the series of software assets grouped as sub-systems and composed by software artefacts are included and explained in full. Further, we describe i3-MARKET backplane tools and how these can be used for supporting marketplaces and its components including details of available data assets. Next, we provide descriptions of solutions developed in i3-MARKET as an overview of the potential for being the reference open-source solution to improve data economy across different data marketplaces.