Barbara Hulanicki is a legend in the fashion and design world. Her label Biba, and the shop of the same name, are inseparable from late sixties and early seventies glamour. Seamless from Biba is a sumptuous and beautifully designed pictorial celebration of every aspect of Barbara's work, designed by Barbara herself with all her well-known eye for colour and detail. There are sections on: Biba; clothes design and drawing; fabric design; interior design; general illustration and design; and retailing. A fascinating insight into an iconic fashion label.

When missing heiress Natalia Cruz's body is found in the Everglades, journalist Kenzie Gilmore is assigned the case. The victim's husband begs her to uncover the truth about who killed his wife. Is she the fourth victim of a sexual predator stalking women in Miami, or is her killer trying to make it look like she is?Ex-cop Reid Garrett doesn't appreciate bodies turning up in his backyard. The Everglades is his turf. Four women in as many months. Determined to track down whoever is responsible, he reluctantly joins forces with Kenzie, a reporter with ties to the victim's famous musician husband.As they get closer to the truth, a shocking revelation turns everything on its head. Can Kenzie and Reid track down the killer before he claims another victim?

Annotation This book shows how companies can survive and thrive in the global knowledge economy. It draws on best-selling author Faisal Hoque's breakthrough Business Technology Management (BTM) models, many years of hands-on experience with Fortune 100 companies, his own entrepreneurial innovations, and the BTM Corporation's years of multi-disciplinary research.

A field guide to globalization, this book is a collaboration among the most accomplished academics and global leaders--more than 60 top international figures. It examines management challenges and innovation opportunities in light of the profound impact of globalization and the emergence of the knowledge economy.

Now that there’s software in everything, how can you make anything secure? Understand how to engineer dependable systems with this newly updated classic In Security Engineering: A Guide to Building Dependable Distributed Systems, Third Edition Cambridge University professor Ross Anderson updates his classic textbook and teaches readers how to design, implement, and test systems to withstand both error and attack. This book became a best-seller in 2001 and helped establish the discipline of security engineering. By the second edition in 2008, underground dark markets had let the bad guys specialize and scale up; attacks were increasingly on users rather than on technology. The book repeated its success by showing how security engineers can focus on usability. Now the third edition brings it up to date for 2020. As people now go online from phones more than laptops, most servers are in the cloud, online advertising drives the Internet and social networks have taken over much human interaction, many patterns of crime and abuse are the same, but the methods have evolved. Ross Anderson explores what security engineering means in 2020, including: How the basic elements of cryptography, protocols, and access control translate to the new world of phones, cloud services, social media and the Internet of Things Who the attackers are – from nation states and business competitors through criminal gangs to stalkers and playground bullies What they do – from phishing and carding through SIM swapping and software exploits to DDoS and fake news Security psychology, from privacy through ease-of-use to deception The economics of security and dependability – why companies build vulnerable systems and governments look the other way How dozens of industries went online – well or badly How to manage security and safety engineering in a world of agile development – from reliability engineering to DevSecOps The third edition of Security Engineering ends with a grand challenge: sustainable security. As we build ever more software and connectivity into safety-critical durable goods like cars and medical devices, how do we design systems we can maintain and defend for decades? Or will everything in the world need monthly software upgrades, and become unsafe once they stop?

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions.

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.