In order to improve competitiveness and performance, corporations must embrace advancements in digitalization. Successful implementation of knowledge management is a huge factor in corporate success. Analyzing the Impacts of Industry 4.0 in Modern Business Environments is a critical scholarly publication that explores digital transformation in business environments and the requirement for not only a substantial management change plan but equally the two essential components of knowledge management: knowledge sharing and knowledge transfer. Featuring a broad range of topics such as strategic planning, knowledge transfer, and cybersecurity risk management, this book is geared toward researchers, academicians, and students seeking current and relevant research on organizational knowledge intensity and monitoring of knowledge management development.

This book examines how the COVID-19 pandemic and racial inequities affect the educational assessment of students, either separately or in combination, as the health crisis was viewed as a factor intersecting with and exacerbating existing racial inequities in educational systems. The four empirical papers in this book attend to the challenges of implementing virtual standardized testing during the coronavirus pandemic, the different educational and assessment experiences of diverse groups of school-age students, and the reconsideration of traditional assessment approaches in response to mounting research evidence and growing concerns around enduring social and racial inequities faced by Black, Latinx, Asian, Indigenous, and other non-white citizens and communities. The four conceptual papers focus primarily on the ways in which assessment may contribute to systemic racism and offer potential solutions to move the educational assessment field forward. In totality, the volume offers needed empirical evidence, innovative methodological approaches, and theoretical and substantive examinations of the effects of the twin pandemics. Twin Pandemics will be a key resource for academics, researchers, and advanced students of Educational Assessment, Education, Psychometrics, Educational Research, Ethnic Studies, Research Methods, Sociology of Education and Psychology. The chapters included in this book were originally published as a special issue of Educational Assessment.

From the cabinets of wonder of the Renaissance to the souvenir collections of today, selecting, accumulating, and organizing objects are practices that are central to our notions of who we are and what we value. Collecting, both private and institutional, has been instrumental in the consolidation of modern notions of the individual and of the nation, and numerous studies have discussed its complex political, social, economic, anthropological, and psychological implications. However, studies of collecting as practiced in colonized cultures are few, since the role of these cultures has usually been understood as that of purveyors of objects for the metropolitan collector. Collecting from the Margins: Material Culture in a Latin American Context seeks to counter the historical understanding of collecting that posits the metropolis as collecting subject and the colonial or postcolonial society as supplier of collectible objects by asking instead how collecting has been practiced and understood in Latin America. Has collecting been viewed or portrayed differently in a Latin American context? Does the act of collecting, when viewed from a Latin American perspective, unsettle the way we have become accustomed to think about it? What differences, if any, arise in the activity of collecting in colonized or previously colonial societies? Spanning the period after the independence wars until the 1980s, this collection of ten essays addresses a broad range of examples of collecting practices in Latin America. Collecting during the nineteenth century is addressed in discussions of the creation of the first national museums of Argentina and Colombia in the post-independence period, as well as in analyses of the private collections of modernistas such as Enrique Gomez Carrillo, Ruben Dario, Jose Asuncion Silva, and Delmira Agustini at the end of the nineteenth century and the beginning of the twentieth. The practice of collecting in the twentieth century is discussed in analyses of the self-described revolutionary practices of Oswald de Andrade, Augusto de Campos and the films of Ruy Guerra, as well as the polemical collections of Pablo Neruda, and the unsettling collections portrayed in Gabriel Garcia Marquez's One Hundred Years of Solitude.

From the cabinets of wonder of the Renaissance to the souvenir collections of today, selecting, accumulating, and organizing objects are practices that are central to our notions of who we are and what we value. Collecting, both private and institutional, has been instrumental in the consolidation of modern notions of the individual and of the nation, and numerous studies have discussed its complex political, social, economic, anthropological, and psychological implications. However, studies of collecting as practiced in colonized cultures are few, since the role of these cultures has usually been understood as that of purveyors of objects for the metropolitan collector. Collecting from the Margins: Material Culture in a Latin American Context seeks to counter the historical understanding of collecting that posits the metropolis as collecting subject and the colonial or postcolonial society as supplier of collectible objects by asking instead how collecting has been practiced and understood in Latin America. Has collecting been viewed or portrayed differently in a Latin American context? Does the act of collecting, when viewed from a Latin American perspective, unsettle the way we have become accustomed to think about it? What differences, if any, arise in the activity of collecting in colonized or previously colonial societies? Spanning the period after the independence wars until the 1980s, this collection of ten essays addresses a broad range of examples of collecting practices in Latin America. Collecting during the nineteenth century is addressed in discussions of the creation of the first national museums of Argentina and Colombia in the post-independence period, as well as in analyses of the private collections of modernistas such as Enrique Gomez Carrillo, Ruben Dario, Jose Asuncion Silva, and Delmira Agustini at the end of the nineteenth century and the beginning of the twentieth. The practice of collecting in the twentieth century is discussed in analyses of the self-described revolutionary practices of Oswald de Andrade, Augusto de Campos and the films of Ruy Guerra, as well as the polemical collections of Pablo Neruda, and the unsettling collections portrayed in Gabriel Garcia Marquez's One Hundred Years of Solitude.

Revisitar el costumbrismo. Cosmopolitismo, pedagogias y modernizacion en Iberoamerica es una recopilacion de articulos cuyo foco de estudio es el costumbrismo del siglo XIX como discurso que vehiculo y respondio a los procesos de modernizacion en Latinoamerica. Los trabajos que aqui se incluyen se acercan al costumbrismo discutiendo problematicas esteticas, culturales y politicas de distintas tradiciones latinoamericanas - Argentina, Brasil, Colombia, Cuba, Mexico, Peru y Venezuela -, entrando en dialogo tambien con Espana. Nuestro objetivo con este proyecto es volver al costumbrismo latinoamericano para restituirle todo su grosor historico y estetico, alineandolo con otros debates sobre el siglo XIX que han abordado este periodo desde los estudios culturales y la critica literaria.

Intimate Frontiers: A Literary Geography of the Amazon analyzes the ways in which the Amazon has been represented in twentieth century cultural production. With contributions by scholars working in Latin America, the US and Europe, Intimate Frontiers reads against the grain commonly held notions about the region -its gigantism, its richness, its exceptionality, among other- choosing to approach these rather from quotidian, everyday experiences of a more intimate nature. The multinational, pluriethnic corpus of texts critically examined here, explores a wide range of cultural artifacts including travelogues, diaries, and novels about the rubber boom genocide, as well as indigenous oral histories, documentary films, and photography about the region. The different voices gathered in this book show that the richness of the Amazon lays not in its natural resources or opportunities for economic exploit, but in the richness of its histories/stories in the form of songs, oral histories, images, material culture, and texts.

Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPy About This Book * Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib * Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more * A must-have book if you're looking to solve your data-related problems using SciPy, on-the-go Who This Book Is For Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book an indispensable resource. If you want to learn how to manipulate and visualize your data using the SciPy Stack, this book will also help you. A basic understanding of Python programming is all you need to get started. What You Will Learn * Get a solid foundation in scientific computing using Python * Master common tasks related to SciPy and associated libraries such as NumPy, pandas, and matplotlib * Perform mathematical operations such as linear algebra and work with the statistical and probability functions in SciPy * Master advanced computing such as Discrete Fourier Transform and K-means with the SciPy Stack * Implement data wrangling tasks efficiently using pandas * Visualize your data through various graphs and charts using matplotlib In Detail With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide. Style and approach This book consists of hands-on recipes where you'll deal with real-world problems. You'll execute a series of tasks as you walk through scientific computing challenges using SciPy. Your one-stop solution for common and not-so-common pain points, this is a book that you must have on the shelf.

Become an expert at using Python for advanced statistical analysis of data using real-world examples About This Book * Clean, format, and explore data using graphical and numerical summaries * Leverage the IPython environment to efficiently analyze data with Python * Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For If you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you. Familiarity with the basics of applying Python libraries to data sets is assumed. What You Will Learn * Read, sort, and map various data into Python and Pandas * Recognise patterns so you can understand and explore data * Use statistical models to discover patterns in data * Review classical statistical inference using Python, Pandas, and SciPy * Detect similarities and differences in data with clustering * Clean your data to make it useful * Work in Jupyter Notebook to produce publication ready figures to be included in reports In Detail Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Ever imagined how to become an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? Well, look no further, this is the book you want! Through this comprehensive guide, you will explore data and present results and conclusions from statistical analysis in a meaningful way. You'll be able to quickly and accurately perform the hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. You'll start off by learning about the tools available for data analysis in Python and will then explore the statistical models that are used to identify patterns in data. Gradually, you'll move on to review statistical inference using Python, Pandas, and SciPy. After that, we'll focus on performing regression using computational tools and you'll get to understand the problem of identifying clusters in data in an algorithmic way. Finally, we delve into advanced techniques to quantify cause and effect using Bayesian methods and you'll discover how to use Python's tools for supervised machine learning. Style and approach This book takes a step-by-step approach to reading, processing, and analyzing data in Python using various methods and tools. Rich in examples, each topic connects to real-world examples and retrieves data directly online where possible. With this book, you are given the knowledge and tools to explore any data on your own, encouraging a curiosity befitting all data scientists.

If you are a professional, student, or educator who wants to learn to use IPython Notebook as a tool for technical and scientific computing, visualization, and data analysis, this is the book for you. This book will prove valuable for anyone that needs to do computations in an agile environment.

Intimate Frontiers: A Literary Geography of the Amazon analyzes the ways in which the Amazon has been represented in twentieth century cultural production. With contributions by scholars working in Latin America, the US and Europe, Intimate Frontiers reads against the grain commonly held notions about the region -its gigantism, its richness, its exceptionality, among other- choosing to approach these rather from quotidian, everyday experiences of a more intimate nature. The multinational, pluriethnic corpus of texts critically examined here, explores a wide range of cultural artifacts including travelogues, diaries, and novels about the rubber boom genocide, as well as indigenous oral histories, documentary films, and photography about the region. The different voices gathered in this book show that the richness of the Amazon lays not in its natural resources or opportunities for economic exploit, but in the richness of its histories/stories in the form of songs, oral histories, images, material culture, and texts.

Patricios en contienda explora las maneras en que los cuadros de costumbres fueron usados en Colombia, Ecuador y Venezuela para nacionalizar poblaciones heterogeneas y producir pueblos nacionales para estos tres paises tras la disolucion de la llamada Gran Colombia (1819-1831). Al situar los cuadros de costumbres en el contexto de las guerras civiles y reformas liberales, esta investigacion muestra como las antiguas elites orgullosas de su abolengo colonial--como Jose Maria Vergara y Vergara (1831-1872) o Fermin Toro (1806-1865)--los usaron para legitimarse frente a las nuevas elites que ascendian tras las guerras de Independencia, como es el caso del general Jose Antonio Paez (1790-1873), su hijo Ramon Paez (1810-1894) o Agustin Codazzi (1793-1859). Nuevos y viejos patricios eligieron escribir acerca de tipos sociales especificos y los compilaron en albumes, memorias o "museos literarios" con el fin de crear pueblos que reflejaran sus propias historias personales y proyectos politicos. Este proceso supuso reformular diversas experiencias historicas emergidas de las reformas liberales y homogeneizarlas en tipos pintorescos como el tabaquero o el llanero. En respuesta a estos mecanismos de inclusion y exclusion, miembros marginados de las nuevas elites--como Josefa Acevedo (1803-1861) o Dolores Veintimilla (1829-1857)--criticaron las divisiones entre patriciado y pueblo. Al escribir sobre miembros indeseables para la comunidad, como mendigos o presuntos criminales, estas escritoras revelaron los principios excluyentes que subyacian a la organizacion de pueblos nacionales. Gracias a la opcion metodologica de ubicar los cuadros de costumbres en el contexto de las publicaciones periodicas donde aparecieron por primera vez, Martinez-Pinzon logra una lectura en que los revalua en su calidad de herramientas politicas y los situa en su relacion con otras formas de representacion como las microbiografias de hombres ilustres o las novelas de folletin, generos con los que sus autores buscaron autodefinirse como representantes de un pueblo que, como ellos mismos, cambio durante la formacion de las republicas.