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Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments.
Utah has long claimed to have the greatest snow on Earth—the state itself has even trademarked the phrase. In Secrets of the Greatest Snow on Earth, Jim Steenburgh investigates Wasatch weather, exposing the myths, explaining the reality, and revealing how and why Utah's powder lives up to its reputation. Steenburgh also examines ski and snowboard regions beyond Utah, making this book a meteorological guide to mountain weather and snow climates around the world. Chapters explore mountain weather, avalanches and snow safety, historical accounts of weather events and snow conditions, and the basics of climate and weather forecasting. Steenburgh explains what creates the best snow for skiing and snowboarding in accurate and accessible language and illustrates his points with 150 color photographs, making Secrets of the Greatest Snow on Earth a helpful tool for planning vacations and staying safe during mountain adventures. Snowriders, weather enthusiasts, meteorologists, students of snow science, and anyone who dreams of deep powder and bluebird skies will want to get their gloves on Secrets of the Greatest Snow on Earth.
Enriched with anecdotes from ethnography and the daily media, this revised edition examines family structure, reproduction, profiles of children's caretakers, their treatment at different ages, their play, work, schooling, and transition to adulthood. The result is a nuanced and credible picture of childhood in different cultures, past and present.
Written by a group of Utah teachers, this book focuses on the Utah State Science Standards for 6th grade science.
Science Be Dammed is an alarming reminder of the high stakes in the management—and perils in the mismanagement—of water in the western United States. It seems deceptively simple: even when clear evidence was available that the Colorado River could not sustain ambitious dreaming and planning by decision-makers throughout the twentieth century, river planners and political operatives irresponsibly made the least sustainable and most dangerous long-term decisions. Arguing that the science of the early twentieth century can shed new light on the mistakes at the heart of the over-allocation of the Colorado River, authors Eric Kuhn and John Fleck delve into rarely reported early studies, showing that scientists warned as early as the 1920s that there was not enough water for the farms and cities boosters wanted to build. Contrary to a common myth that the authors of the Colorado River Compact did the best they could with limited information, Kuhn and Fleck show that development boosters selectively chose the information needed to support their dreams, ignoring inconvenient science that suggested a more cautious approach. Today water managers are struggling to come to terms with the mistakes of the past. Focused on both science and policy, Kuhn and Fleck unravel the tangled web that has constructed the current crisis. With key decisions being made now, including negotiations for rules governing how the Colorado River water will be used after 2026, Science Be Dammed offers a clear-eyed path forward by looking back. Understanding how mistakes were made is crucial to understanding our contemporary problems. Science Be Dammed offers important lessons in the age of climate change about the necessity of seeking out the best science to support the decisions we make.
Everybody in the bar had to drop a quarter in the jukebox or be shamed by “Momo” Villarreal. It wasn’t about the money, Mary Ann Villarreal’s grandmother insisted. It was about the music—more songs for all the patrons of the Pecan Lounge in Tivoli, Texas. But for Mary Ann, whose schoolbooks those quarters bought, the money didn’t hurt. When as an adult Villarreal began to wonder how the few recordings of women singers made their way into that jukebox, questions about the money seemed inseparable from those about the music. In Listening to Rosita, Villarreal seeks answers by pursuing the story of a small group of Tejana singers and entrepreneurs in Corpus Christi, Houston, and San Antonio—the “Texas Triangle”—during the mid-twentieth century. Ultimately she recovers a social world and cultural landscape in central south Texas where Mexican American women negotiated the shifting boundaries of race and economics to assert a public presence. Drawing on oral history, interviews, and insights from ethnic and gender studies, Listening to Rosita provides a counternarrative to previous research on la música tejana, which has focused almost solely on musicians or musical genres. Villarreal instead chronicles women’s roles and contributions to the music industry. In spotlighting the sixty-year singing career of San Antonian Rosita Fernández, the author pulls the curtain back on all the women whose names and stories have been glaringly absent from the ethnic and economic history of Tejana music and culture. In this oral history of the Tejana cantantes who performed and owned businesses in the Texas Triangle, Listening to Rosita shows how ethnic Mexican entrepreneurs developed a unique identity in striving for success in a society that demeaned and segregated them. In telling their story, this book supplies a critical chapter long missing from the history of the West.
"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l0-minimization are also included. This book is written for engineers and researchers in the field of biomedical engineering specializing in medical imaging and image processing with image reconstruction. Gengsheng Lawrence Zeng is an expert in the development of medical image reconstruction algorithms and is a professor at the Department of Radiology, University of Utah, Salt Lake City, Utah, USA.