Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

One of the single greatest challenges to security professionals in the 21st century is terrorism. In the last several years, we have heard a lot about the importance of preparing for terrorist attacks. This book offers a way to prevent terrorist attacks. Providing security managers with a clear and simple methodology to protect their organizations, Antiterrorism and Threat Response uses an adaptation of the U.S. Department of Defense's antiterrorism fundamentals and applies it to the private sector to protect companies, facilities, and infrastructures. The book's antiterrorism planning strategies enable security professionals to seize the initiative away from terrorists-setting them off balance and keeping them off balance-thereby disrupting their planning cycle and thwarting attack. The book helps security managers to: Understand the terrorist attack planning cycle Conduct a terrorism threat vulnerability assessment Develop an observation plan and the corresponding verification plan Understand how surveillance detection works Learn how pattern analysis wheels can be used to find weaknesses in security operations Appreciate the role of random antiterrorism measures and learn how to develop them Establish response plans for a wide variety of contingencies related to terrorist attack Adapt this methodology to maritime operations against piracy, individual protection, and travel security in high-risk environments Work with other security departments, the police, and the public to create infrastructure protection zones that will enhance the detection of suspicious events and reduce the likelihood of terrorist attack The book aims to show that terrorists are not defeated by technology alone, but instead by collaboration and the timely passage of relevant information and intelligence. Terrorism is, above all, an act of communication. The terrorists communicate to us through their acts and their carefully crafted communiques. Security professionals need to send the terrorists a clear and simple message in the language they understand: You will not succeed here.

This book brings together history and theory in art and media to examine the effects of artificial intelligence and machine learning in culture, and reflects on the implications of delegating parts of the creative process to AI. In order to understand the complexity of authorship and originality in relation to creativity in contemporary times, Navas combines historical and theoretical premises from different areas of research in the arts, humanities, and social sciences to provide a rich historical and theoretical context that critically reflects on and questions the implications of artificial intelligence and machine learning as an integral part of creative production. As part of this, the book considers how much of postproduction and remix aesthetics in art and media preceded the current rise of metacreativity in relation to artificial intelligence and machine learning, and explores contemporary questions on aesthetics. The book also provides a thorough evaluation of the creative application of systematic approaches to art and media production, and how this in effect percolates across disciplines including art, design, communication, as well as other fields in the humanities and social sciences. An essential read for students and scholars interested in understanding the increasing role of AI and machine learning in contemporary art and media, and their wider role in creative production across culture and society.

Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.

How do you build a product that delights users? You must first know who your users are and how they plan to use what you're building. With this practical book, you'll explore the often-misunderstood practice of user story mapping, and learn how it can help keep your team stay focused on users and their experience throughout the development process.

You and your team will learn that user stories aren't a way to write better specifications, but a way to organize and have better conversations. This book will help you understand what kinds of conversations you should be having, when to have them, and what to keep track of when you do.Learn the key concepts used to create a great story mapUnderstand how user stories really work, and how to make good use of them in agile and lean projectsExamine the nuts and bolts of managing stories through the development cycleUse strategies that help you continue to learn before and after the product's release to customers and users

"User Story Mapping" is ideal for agile and lean software development team members, product managers and UX practitioners in commercial product companies, and business analysts and project managers in IT organizations--whether you're new to this approach or want to understand more about it.

Digital transformation is a multidimensional concept and involves many moving parts. Successful digital transformation requires a fresh approach to harnessing people, processes, technology, and data to develop new business models and digital ecosystems. One main barrier could be an overemphasis on applying technology to expand the business rather than transforming the people's mindsets to do things differently. Thus, it is important to develop a holistic view of these parts and assemble them to foster the right conditions for digital transformation to happen. Business leaders and executives must be equipped with a wide range of digital competencies to thrive in a rapidly changing digital environment. Digital Transformation: Strategy, Execution, and Technology provides an overall view on the strategy, execution, and technology for organizations aiming to transform digitally. It offers insights on how to become more successful in the digital age by explaining the importance and relevance of the various building blocks which form the foundation of a digital organization. It shows the reader how to develop these building blocks in the organization as part of the digital transformation journey from both a business and technical perspective. Highlights of the book include: Digital transformation strategy Digital governance and risk management Digital organization and change management Experimental learning and design thinking Digital product management Agile and DevSecOps Digital enterprise architecture Business applications of digital technology This practical guide is written keeping business and information technology professionals and digital transformation practitioners in mind. It is also suitable for students pursuing postgraduate degrees and participants attending executive education programs in business and information technology.

In this companion, a diverse, international and interdisciplinary group of contributors and editors examine the rapidly expanding, far-reaching field of mobile media as it intersects with art across a range of spaces-theoretical, practical and conceptual. As a vehicle for-and of-the everyday, mobile media is recalibrating the relationship between art and digital networked media, and reshaping how creative practices such as writing, photography, video art and filmmaking are being conceptualized and practised. In exploring these innovations, The Routledge Companion to Mobile Media Art pulls together comprehensive, culturally nuanced and interdisciplinary approaches; considerations of broader media ecologies and histories and political, social and cultural dynamics; and critical and considered perspectives on the intersections between mobile media and art. This book is the definitive publication for researchers, artists and students interested in comprehending all the various aspects of mobile media art, covering digital media and culture, internet studies, games studies, anthropology, sociology, geography, media and communication, cultural studies and design.

* International approach, with examples and cases from the US, Europe and Africa * Each chapter contains objectives, case studies, discussion questions and further reading suggestions. * PPT slides and data sets available as digital supplements

1) What to do when you get hacked 2) A guide to incident response 3) Incident response and cybersecurity for small businesses

This series is designed to meet the needs of students and lecturers of the National Certificate Vocational. Features for the student include: Easy-to-understand language; Real-life examples; A key word feature for important subject terms; A dictionary feature for difficult words; A reflect-on-how-you-learn feature to explore personal learning styles; Workplace-oriented activities; and Chapter summaries that are useful for exam revision.

Julia Kay's Portrait Party is an international collaborative project in which artists all over the world make portraits of each other and share them online. After years of exchanging portraits, tips and techniques within the group, in Portrait Revolution these artists are now sharing their art, their words, and their inspiration with everyone who is interested in or would like to get started with portraiture. Here you can find information on using different media, how to handle difficult portrait issues, and more. Portrait Revolution showcases 450 portraits by 200 artists, in a wide variety of media from oil painting to iPad art, watercolour to ballpoint, linocut to mosaic. There are a range of styles from realistic to abstract and interpretations by multiple artists of the same subject.

Once the stuff of science fiction, recent progress in artificial intelligence, robotics, and machine learning means that these rapidly advancing technologies are finally coming into widespread use within everyday life. Such rapid development in these areas also brings with it a host of social, political and legal issues, as well as a rise in public concern and academic interest in the ethical challenges these new technologies pose. This volume is a collection of scholarly work from leading figures in the development of both robot ethics and machine ethics; it includes essays of historical significance which have become foundational for research in these two new areas of study, as well as important recent articles. The research articles selected focus on the control and governance of computational systems; the exploration of ethical and moral theories using software and robots as laboratories or simulations; inquiry into the necessary requirements for moral agency and the basis and boundaries of rights; and questions of how best to design systems that are both useful and morally sound. Collectively the articles ask what the practical ethical and legal issues, arising from the development of robots, will be over the next twenty years and how best to address these future considerations.

Make the most of your Mac with this witty, authoritative guide to macOS Big Sur. Apple updates its Mac operating system every year, adding new features with every revision. But after twenty years of this updating cycle without a printed user guide to help customers, feature bloat and complexity have begun to weigh down the works. For thirty years, the Mac faithful have turned to David Pogue's Mac books to guide them. With Mac Unlocked, New York Times bestselling author Pogue introduces readers to the most radical Mac software redesign in Apple history, macOS Big Sur. Beginning Mac users and Windows refugees will gain an understanding of the Mac philosophy; Mac veterans will find a concise guide to what's new in Big Sur, including its stunning visual and sonic redesign, the new Control Center for quick settings changes, and the built-in security auditing features. With a 300 annotated illustrations, sparkling humor, and crystal-clear prose, Mac Unlocked is the new gold-standard guide to the Mac.

Since the invention of computers or machines, scientists and researchers are trying very hard to enhance their capabilities to perform various tasks. As a consequence, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make the computers or machines as intelligent as human beings. Artificial Intelligence (AI) came up as a way of making a computer or computer software think in the similar manner the intelligent humans think. AI is inspired by the study of human brain like how humans think, learn, decide and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or Intelligent Computing (IC). An IC system has the capability of reasoning, learning, problem solving, perception, and linguistic intelligence. The IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of intelligent computing has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Now a days, the use of IC can also be seen for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agriculture science, predicting market growth in economics, weather forecasting and so on. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes the recent research works have been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems and so on. This book provides theoretical, algorithmic, simulation, and implementation-based recent research advancements related to the Intelligent Computing.

This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these activities account for a considerable share of the time and effort for data professionals in the industry. Based on industry experience, this book outlines real-world scenarios and discusses pitfalls that data science practitioners should avoid. It also covers the big data cloud platform and the art of data science, such as soft skills. The authors use R as the primary tool and provide code for both R and Python. This book is for readers who want to explore possible career paths and eventually become data scientists. This book comprehensively introduces various data science fields, soft and programming skills in data science projects, and potential career paths. Traditional data-related practitioners such as statisticians, business analysts, and data analysts will find this book helpful in expanding their skills for future data science careers. Undergraduate and graduate students from analytics-related areas will find this book beneficial to learn real-world data science applications. Non-mathematical readers will appreciate the reproducibility of the companion R and python codes. Key Features: * It covers both technical and soft skills. * It has a chapter dedicated to the big data cloud environment. For industry applications, the practice of data science is often in such an environment. * It is hands-on. We provide the data and repeatable R and Python code in notebooks. Readers can repeat the analysis in the book using the data and code provided. We also suggest that readers modify the notebook to perform analyses with their data and problems, if possible. The best way to learn data science is to do it!

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background.

In recent years, there has been steady increase in the interest shown in both big data analytics and the use of information technology (IT) solutions to improve healthcare services. Despite the growing interest, there are limited materials, to addressing the needs and challenges posed by the activities and processes including the use of big data. From IT solutions' perspectives, this book aims to advance the deployment and use of big data analytics to increase patients' big data usefulness and improve healthcare service delivery. The book provides significant insights and useful guide on how to access and manage big data, in improving healthcare service delivery. The book contributes a fresh perspective, which primarily comes from the complementary use of analytics approach with actor-network theory (ANT), and other techniques, in advancing healthcare service delivery. Accessing and managing healthcare big data have always been a challenging exercise. Due to the sensitivity of the health sector, the focus on patients' big data is from either technical or social perspective. Thus, the book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constrain the use of patients' big data for health services. By doing so, the book brings a different dimension and advance health service delivery. Providing a timely and important contribution to this critical area, this book is a valuable, international resource for academics, postgraduate students and researchers in the areas of IT, big data analytics, data management and health informatics.

Emerging technologies present a challenging but fascinating set of ethical, legal and regulatory issues. The articles selected for this volume provide a broad overview of the most influential historical and current thinking in this area and show that existing frameworks are often inadequate to address new technologies - such as biotechnology, nanotechnology, synthetic biology and robotics - and innovative new models are needed. This collection brings together invaluable, innovative and often complementary approaches for overcoming the unique challenges of emerging technology ethics and governance.

Do you want to write beautiful, structured, and maintainable JavaScript by applying classical and modern design patterns to the language? Do you want clean, efficient, manageable code? Want to stay up-to-date with the latest best practices? If so, the updated second edition of Learning JavaScript Design Patterns is the ideal place to start. Author Addy Osmani shows you how to apply both classical and modern design patterns to JavaScript. That includes popular design patterns including Modules, Observers, Facades, and Mediators. You'll also learn how modern architectural patterns-such as MVC, MVP, and MVVM-are useful from the perspective of a modern web application developer. Other essential topics include modern JavaScript syntax, React patterns (like Hooks), module formats, classes, async/await, and more. This book explores: How to structure and write design patterns Different pattern categories, including creational, structural, and behavioral More than 20 classical and modern design patterns in JavaScript "Pattern"-ity testing, proto-patterns, and the Rule of Three Options for writing modular code-including the Module pattern, Asynchronous Module Definition (AMD), and CommonJS Patterns to architect components and apps using React.js

Model-Based Systems Engineering explains the fundamental theories behind model-based systems and the considerations involved in applying theory to the design of real systems. The book begins by presenting terms used in systems engineering and introducing the discrete system and its components. The remainder of the text explains topics such as the mathematical theory of system coupling, the homomorphic relationship between systems, the concept of system mode, the mathematical structure of T3SD system requirements, and the implications of that structure for T3SD system design. Appendices include a short bibliography, detailed definitions of all examples discussed in the text, a list of all notations used, and an index.
Model-Based Systems Engineering is an excellent text for engineering students, and an invaluable reference for engineers and scientists.

The only complete guide to photography designed specifically for women who want to improve their photographic skills for both pleasure and profit. With inspirational case studies and examples from professional and semi-pro female photographers, user-friendly technical explanations and image critiques, this book is a practical and useful toolkit for busy girls who enjoy photography.

Becoming an accomplished and competent photographer needs to be approached in three stages: Understand your camera and learn how to drive it; Composition - tune in and understand your subject; Post production - share and print.

Rather than explain every technical function from the outset, the aim of this book is to demystify the jargon and take you, step by step, back to the basic fundamental principals of photography; first putting you in control of the camera which will, in turn, free up the composition and creativity. The more advanced features of the camera and in-depth processes can be explored once the basic principals are understood.

This is a fun, contemporary photography book that will become your essential tool for taking your passion for photography to the next level.

Gain a thorough understanding of how modern audits are conducted in today's computer-driven business environment with INFORMATION TECHNOLOGY AUDITING, 4E. You gain valuable insights into state-of-the-art auditing issues as this leading accounting text provides you with the background you need to succeed in today's business world. This edition focuses on the latest information technology aspects of auditing with up-to-date coverage of auditor responsibilities, emerging legislation, and today's fraud techniques and detection. Expanded end-of-chapter questions, problems, and cases give you important hands-on practice for success in your future career.

This unique textbook presents a course on computational linear algebra. Offers many unique applications. MATLAB is used throughout.