This concise guide will help you choose and implement the techniques and best practices used by today's forward-thinking libraries to create the best possible patron experiences.
The problems of the 21st century are of unprecedented scale. Climate change, financial instability, the housing crisis, the need for health care: all of these are political issues that could be managed with ease on a much smaller scale. But with an enormous global population, that kind of change is no longer an option. As a result, some of the large bodies we once appointed to manage macroscopic problems--such as the government--have begun to fail us. Never was this more clear than during Hurricane Katrina, when individual efforts and decentralized organizations were more efficient, swifter, and better suited to the task than, say, FEMA. But, according to the hard-charging and ambitious Jared Duval, there is good news. Accompanying the expansion of these social problems has been an explosion in information technology, and we are quickly discovering the power of collaboration. Obama's town hall meetings are just the beginning of something larger--a movement towards what he refers to as "open-source" principles. By sharing information and letting systems grow themselves, we can devise new programs that will tackle these sprawling problems. Kiva's innovative micro-lending principles are making impressive progress with huge, intractable problems like world hunger and poverty. The Open-Source Society is more than a persuasive argument, though. It is a manifesto, a narrative both personal and reportorial, and an empowering call to arms. Duval's spirit and intelligence are infectious, and his message is important.
Next Generation is a two-level course for Bachillerato, combining complete preparation for the Pruebas de Accesso a la Universidad (PAU) exams with material that helps learners improve their English language skills for life. Teacher's Resource Book 1 combines comprehensive teaching notes for the eight units of the Student's Book with photocopiable worksheets providing extra practice of vocabulary, grammar, writing and phrasal verbs, as well as tests, mock PAU exams and answer keys to the Workbook and all photocopiable activities. It also comes with the Class Audio CDs.
This thesis presents first successful experiments to carrier-envelope-phase stabilize a high-power mode-locked thin-disk oscillator and to compress the pulses emitted from this laser to durations of only a few-optical cycles. Moreover, the monograph introduces several methods to achieve power-scalability of compression and stabilization techniques. All experimental approaches are compared in detail and may serve as a guideline for developing high-power waveform controlled, few-cycle light sources which offer tremendous potential to exploit extreme nonlinear optical effects at unprecedentedly high repetition rates and to establish table-top infrared light sources with a unique combination of brilliance and bandwidth. As an example, the realization of a multi-Watt, multi-octave spanning, mid-infrared femtosecond source is described. The thesis starts with a basic introduction to the field of ultrafast laser oscillators. It subsequently presents additional details of previously published research results and establishes a connection between them. It therefore addresses both newcomers to, and experts in the field of high-power ultrafast laser development.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Discover how different QRadar components fit together and explore its features and implementations based on your platform and environment Purchase of the print or Kindle book includes a free PDF eBook Key Features Get to grips with QRadar architecture, components, features, and deployments Utilize IBM QRadar SIEM to respond to network threats in real time Learn how to integrate AI into threat management by using QRadar with Watson Book Description This comprehensive guide to QRadar will help you build an efficient security operations center (SOC) for threat hunting and need-to-know software updates, as well as understand compliance and reporting and how IBM QRadar stores network data in real time. The book begins with a quick introduction to QRadar components and architecture, teaching you the different ways of deploying QRadar. You'll grasp the importance of being aware of the major and minor upgrades in software and learn how to scale, upgrade, and maintain QRadar. Once you gain a detailed understanding of QRadar and how its environment is built, the chapters will take you through the features and how they can be tailored to meet specifi c business requirements. You'll also explore events, flows, and searches with the help of examples. As you advance, you'll familiarize yourself with predefined QRadar applications and extensions that successfully mine data and find out how to integrate AI in threat management with confidence. Toward the end of this book, you'll create different types of apps in QRadar, troubleshoot and maintain them, and recognize the current security challenges and address them through QRadar XDR. By the end of this book, you'll be able to apply IBM QRadar SOC's prescriptive practices and leverage its capabilities to build a very efficient SOC in your enterprise. What you will learn Discover how to effectively use QRadar for threat management Understand the functionality of different QRadar components Find out how QRadar is deployed on bare metal, cloud solutions, and VMs Proactively keep up with software upgrades for QRadar Understand how to ingest and analyze data and then correlate it in QRadar Explore various searches, and learn how to tune and optimize them See how to maintain and troubleshoot the QRadar environment with ease Who this book is for This book is for security professionals, SOC analysts, security engineers, and any cybersecurity individual looking at enhancing their SOC and SIEM skills and interested in using IBM QRadar to investigate incidents in their environment to provide necessary security analytics to responsible teams. Basic experience with networking tools and knowledge about cybersecurity threats is necessary to grasp the concepts present in this book.
Instructional materials are a key means to achieving the goals of science educationâ€"an enterprise that yields unique and worthwhile benefits to individuals and society. As states and districts move forward with adoption and implementation of the Next Generation Science Standards (NGSS) or work on improving their instruction to align with A Framework for Kâ€"12 Science Education (the Framework), instructional materials that align with this new vision for science education have emerged as one of the key mechanisms for creating high-quality learning experiences for students. In response to the need for more coordination across the ongoing efforts to support the design and implementation of instructional materials for science education, the National Academies of Sciences, Engineering, and Medicine convened a public workshop in June 2017. The workshop focused on the development of instructional materials that reflect the principles of the Framework and the NGSS. This publication summarizes the presentations and discussions from the workshop.
The Intelligence Community Studies Board of the National Academies of Sciences, Engineering, and Medicine convened a workshop on August 9-10, 2017 to examine challenges in machine generation of analytic products from multi-source data. Workshop speakers and participants discussed research challenges related to machine-based methods for generating analytic products and for automating the evaluation of these products, with special attention to learning from small data, using multi-source data, adversarial learning, and understanding the human-machine relationship. This publication summarizes the presentations and discussions from the workshop.