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Transition
Imagine a world that is one of infinite parallel worlds, that hangs suspended between triumph and catastrophe, the dismantling of the Wall and the fall of the Twin Towers, in the shadow of suicide terrorism and global financial collapse.Presiding over this world is the Concern, an all-powerful organisation whose operatives possess extraordinary powers.There is Temudjin Oh, an unkillable assassin who journeys between the high passes of Nepal, a version of Victorian London and a wintry Venice; Adrian Cubbish, restlessly greedy City trader; and the Philosopher, a state-sponsored torturer who moves between the time zones with sinister ease.Transition is a high-definition, hyper-real apocalyptic fable for terrible times.
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Beginning Azure Synapse Analytics : Transition from Data Warehouse to Data Lakehouse
Get started with Azure Synapse Analytics, Microsoft's modern data analytics platform.This book covers core components such as Synapse SQL, Synapse Spark, Synapse Pipelines, and many more, along with their architecture and implementation. The book begins with an introduction to core data and analytics concepts followed by an understanding of traditional/legacy data warehouse, modern data warehouse, and the most modern data lakehouse.You will go through the introduction and background of Azure Synapse Analytics along with its main features and key service capabilities.Core architecture is discussed, along with Synapse SQL.You will learn its main features and how to create a dedicated Synapse SQL pool and analyze your big data using Serverless Synapse SQL Pool.You also will learn Synapse Spark and Synapse Pipelines, with examples. And you will learn Synapse Workspace and Synapse Studio followed by Synapse Link and its features.You will go through use cases in Azure Synapse and understand the reference architecture for Synapse Analytics. After reading this book, you will be able to work with Azure Synapse Analytics and understand its architecture, main components, features, and capabilities. What You Will LearnUnderstand core data and analytics concepts and data lakehouse conceptsBe familiar with overall Azure Synapse architecture and its main componentsBe familiar with Synapse SQL and Synapse Spark architecture componentsWork with integrated Apache Spark (aka Synapse Spark) and Synapse SQL enginesUnderstand Synapse Workspace, Synapse Studio, and Synapse PipelineStudy reference architecture and use casesWho This Book Is ForAzure data analysts, data engineers, data scientists, and solutions architects
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Masculinity in Transition
Locating the roots of toxic masculinity and finding its displacement in unruly culture Masculinity in Transition analyzes shifting relationships to masculinity in canonical works of twentieth-century literature and film, as well as in twenty-first-century media, performance, and transgender poetics.Focusing on “toxic masculinity,” which has assumed new valence since 2016, K.Allison Hammer traces its roots to a complex set of ideologies embedded in the histories of settler colonialism, racial capitalism, and political fraternity, and finds that while toxic strains of masculinity are mainly associated with straight, white men, trans and queer masculinities can be implicated in these systems of power. Hammer argues, however, that these malignant forms of masculinity are not fixed and can be displaced by “unruly alliances”—texts and relationships that reject the nationalisms and gender politics of white male hegemony and perform an urgently needed reimagining of what it means to be masculine.Locating these unruly alliances in the writings, performances, and films of butch lesbians, gay men, cisgender femmes, and trans and nonbinary individuals, Masculinity in Transition works through an archive of works of performance art, trans poetics, Western films and streaming media, global creative responses to HIV/AIDS, and working-class and “white trash” fictions about labor and unionization. Masculinity in Transition moves the study of masculinity away from an overriding preoccupation with cisnormativity, whiteness, and heteronormativity, and toward a wider and more generative range of embodiments, identifications, and ideologies.Hammer’s bold rethinking of masculinity and its potentially toxic effects lays bare the underlying fragility of normative masculinity. Retail e-book files for this title are screen-reader friendly with images accompanied by short alt text and/or extended descriptions.
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Pupils in Transition
Focusing on the move from primary to secondary school, this book aims to help teachers and school managers to recognize and deal with the often traumatic effects that this transition has on young people's lives.The book: * explores the links between primary and secondary curricula * offers specific advice on how to meet the needs of children in transition * provides materials for investigating transition which will enable schools to identify the strengths and weaknesses in their approach.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Transition Metal Compounds
Describing all aspects of the physics of transition metal compounds, this book provides a comprehensive overview of this unique and diverse class of solids.Beginning with the basic concepts of the physics of strongly correlated electron systems, the structure of transition metal ions, and the behaviours of transition metal ions in crystals, it goes on to cover more advanced topics such as metal-insulator transitions, orbital ordering, and novel phenomena such as multiferroics, systems with oxygen holes, and high-Tc superconductivity.Each chapter concludes with a summary of key facts and concepts, presenting all the most important information in a consistent and concise manner.Set within a modern conceptual framework, and providing a complete treatment of the fundamental factors and mechanisms that determine the properties of transition metal compounds, this is an invaluable resource for graduate students, researchers and industrial practitioners in solid state physics and chemistry, materials science, and inorganic chemistry.
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Gloves Seven Transition
Ideal for VVT- Mesh back of hand- Sublimated graphic- Microfiber thumb wipe- Neoprene cuff for comfort- Silicone finger and thumb for shifter and brake handle- Fully perforated ventilated palm- Sizes: YS to XL
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Big Data Analytics : A Guide to Data Science Practitioners Making the Transition to Big Data
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data.This book aims to help data science practitioners to successfully manage the transition to Big Data.Building on familiar content from applied econometrics and business analytics, this book introduces the reader to the basic concepts of Big Data Analytics.The focus of the book is on how to productively apply econometric and machine learning techniques with large, complex data sets, as well as on all the steps involved before analysing the data (data storage, data import, data preparation).The book combines conceptual and theoretical material with the practical application of the concepts using R and SQL.The reader will thus acquire the skills to analyse large data sets, both locally and in the cloud.Various code examples and tutorials, focused on empirical economic and business research, illustrate practical techniques to handle and analyse Big Data.Key Features: - Includes many code examples in R and SQL, with R/SQL scripts freely provided online. - Extensive use of real datasets from empirical economic research and business analytics, with data files freely provided online. - Leads students and practitioners to think critically about where the bottlenecks are in practical data analysis tasks with large data sets, and how to address them. The book is a valuable resource for data science practitioners, graduate students and researchers who aim to gain insights from big data in the context of research questions in business, economics, and the social sciences.
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Transition
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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Is there a transition or is there no transition?
There is a transition in the text.
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What does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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What are transition countries?
Transition countries are nations that are undergoing a shift from a centrally planned economy to a market-oriented economy. These countries are typically former socialist states that are in the process of implementing economic and political reforms to transition to a more open and competitive system. Transition countries often face challenges such as high levels of unemployment, inflation, and corruption as they navigate this transformation. Examples of transition countries include countries in Eastern Europe and Central Asia that were part of the former Soviet bloc.
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