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The 19th century was, in Walter Benjamin’s diagnosis, “addicted to dwelling.” That era’s sense of space – what August Schmarsow called its Raumgefühl – shaped the narratives of Thomas Mann. This study examines Mann’s literary concepts of space and interprets them less in terms of particular texts than as descriptions of material culture. It also explores the discourse, history, and ideology behind those concepts.
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This title documents the history of the Rhenish-Westphalian Institute for Economic Research (RWI), re-founded in 1943 as the “Western Division” of the German Institute for Economic Research. Starting from the initial founding in 1926, it includes the post-war re-founding and reorientation of the Institute, its redirection in the new millennium through 2018, and describes the changing economic, political, and scientific contexts of the times.
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Recently, a need has arisen for prediction techniques that can address a variety of problems by combining methods from the rapidly developing field of machine learning with geoinformation technologies such as GIS, remote sensing, and GPS. As a result, over the last few decades, one particular machine learning technology, known as artificial neural networks, has been successfully applied to a wide range of fields in science and engineering. In addition, the development of computational and spatial technologies has led to the rapid growth of geoinformatics, which specializes in the analysis of spatial information. Thus, recently, artificial neural networks have been applied to geoinformatics and have produced valuable results in the fields of geoscience, environment, natural hazards, natural resources, and engineering. Hence, this Special Issue of the journal Applied Sciences, “Application of Artificial Neural Networks in Geoinformatics,” was successfully planned, and we here publish a collection of papers detailing novel contributions that are of relevance to these topics.
Data mining --- Machine Learning --- Artificial Neural Networks --- Spatial Database --- Geoinformatics --- Geographic Information System (GIS) --- Remote Sensing --- Global Positioning System (GPS) --- Spatial Analysis
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This book demonstrates the utilization of remote sensing and geospatial technologies for a wide range of public health studies.Although remote sensing and geospatial technologies have been successfully applied for more than 50 years, continuous advancements are essential to better understand the complex environment around us that impacts our health and well-being.Thankfully, the availability of spatial analytical tools and necessary data have enabled us to reveal multifaceted, obscured spatial relationships that would have been unexplored otherwise. Now, we are able to make more precise and effective public health-related decisions. However, without a proper understanding of the methodologies, applying these tools may result in inaccurate findings for decision-making.With 15 selected papers, this book covers diverse topics and discusses different methodologies that are fundamentals for spatial analysis in public health. Readers will have an opportunity to experience the advancements in spatial tools, data, and methodologies that are applicable to public health investigations.This book, Remote Sensing and Geospatial Technologies in Public Health, is expected to encourage academicians and professionals to further advance their knowledge in this sub-discipline.
Air pollution --- Earth observation --- Environmental health --- Environmental remote sensing --- Exposure to air pollutants --- Geographic scales --- Geospatial health --- Geospatial technology --- Health GIS --- Influenza --- Landscape epidemiology --- Public health --- Remote sensing --- Spatial cluster detection --- Spatial epidemiology --- Vector-borne diseases
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Advocating for the use of culturally specific pedagogy to enhance the mathematics instruction of diverse students, this revised second edition offers a wide variety of conceptual and curricular resources for teaching mathematics in a way that combats and confronts the forms of oppression that students face today. Addressing stratification based on race, class, and gender, Leonard offers lesson templates that teachers can use with ethnically and culturally diverse students and makes the link between research and practice. Connecting cutting-edge and emerging technologies to culturally specific pedagogy, the second edition features new chapters on mathematics and social justice, robotics, and spatial visualization. Applying a more expansive focus, the new edition discusses current movements such as Black Lives Matter and incorporates examples of rural and tribal students to paint a broader picture of what culturally rich mathematics classrooms actually look like. The text builds on sociocultural theory and research on culture and mathematics cognition to extend the literature and better understand minority students’ goals and learning needs. Including new discussion questions and new examples, lessons, and vignettes of integrating culture in the mathematics classroom, this book employs pedagogical research to field-test new instructional methods for culturally diverse and female students.
african american students --- black lives matter --- black students --- blm --- cognition --- computational thinking --- computer scaffolding --- critical race theory --- crt --- culturally diverse students --- culture --- cultural --- funds of knowledge --- game design --- linguistically diverse students --- math --- mathematics education --- maths --- native american students --- place --- rural students --- spatial visualization --- stem education
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