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The Red Team Field Manual (RTFM) is a no fluff, but thorough reference guide for serious Red Team members who routinely find themselves on a mission without Google or the time to scan through a man page. The RTFM contains the basic syntax for commonly used Linux and Windows command line tools, but it also encapsulates unique use cases for powerful tools such as Python and Windows PowerShell. The RTFM will repeatedly save you time looking up the hard to remember Windows nuances such as Windows wmic and dsquery command line tools, key registry values, scheduled tasks syntax, startup locations and Windows scripting. More importantly, it should teach you some new red team techniques.

The 47 revised full papers presented together with three invited talks were carefully reviewed and selected from 204 submissions. This program was completed by a demonstration and poster session, in which researchers had the chance to present their latest results and advances in the form of live demos. In addition, the PhD Symposium program included 10 contributions, selected out of 21 submissions. The core tracks of the research conference were complemented with new tracks focusing on linked data; machine learning; mobile web, sensors and semantic streams; natural language processing and information retrieval; reasoning; semantic data management, big data, and scalability; services, APIs, processes and cloud computing; smart cities, urban and geospatial data; trust and privacy; and vocabularies, schemas, and ontologies.

Examines the various issues surrounding Internet use in schools today, providing a planning guide as well as advice on formulating policies, designing systems, assembling a team, and implementation.

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-Level Autonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspects of Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.

One of the directions of nanotechnology is the production of nanopowders (NPs). Nanopowders, according to the currently widely used classification of nanomaterials, belong to zero-dimensional systems in which the limitation of wave functions occurs in all three directions. Biological methods are considered the most environmentally friendly way to synthesize NPs, but the possibility of biological contamination with mutated microorganisms cannot be ruled out. This book presents a new method for producing simple and complex metal oxide and fluoride NPs, based on the “evaporation-condensation” process using pulsed electron beam evaporation. It presents the results of more than 10 years of study of the characteristics of NPs produced using the aforementioned method. This eco-friendly method ensures the production of clean NPs, which are mesoporous and suitable for use in various applications such as medicine, spintronics, optoelectronics, dosimeters, photocatalysis, semiconductors, and ultraviolet and blue lasers. Importantly, these NPs have the potential to be used as a drug delivery system and in the creation of new nanostructures that do not contain noble metals. The book will be useful for the researchers in macromolecular science, nanotechnology, chemistry, biology, and medicine, especially those with an interest in drug delivery or cancer therapy.

Annotation This clearly organized, amiably written guide provides solutions for the interoperability issues that come up when Linux and Windows are used together, including: using Samba and Linux for file and print services, implementing the best connectivity techniques, providing reliable data exchange, providing high performance cross-platform database access via ODBC, making the most of platform-independent, browser-based applications, and managing the two systems at the same workstation with boot managers, partitioning, compressed drives, and file systems. McCune is a consultant in Chicago. Annotation c. Book News, Inc., Portland, OR (booknews.com).