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Free Download Aviation Policies: Studies of Unintended Effects and Consequences by Hideki Fukui
English | August 20, 2025 | ISBN: 981967302X | 528 pages | PDF EPUB (True) | 60 Mb
This book sheds new light on aviation policies' unintended effects and consequences, especially regarding infrastructure, environment, and consumer protection. The book provides the reader with the first systematic quantitative analyses of the impacts of airlines' strategic reactions to the introduction of airport slot markets, aviation fuel tax, and consumer protection rules. Through extensive empirical investigations, the author reveals that aviation policies based on the regulations and tax can produce both intended and unintended effects and consequences. Although the introduction of airport slot markets was expected to enhance airline competition, airlines' manipulative behaviors have impeded the slot markets' effective functioning. Also, the aviation fuel tax can reduce emissions in the air transport market effectively, but the amount of the reduction of fuel consumption and CO2emissions would be smaller in the longer term due to the rebound effect. Finally, the consumer protection rules, e.g., the tarmac delay rule of the US Department of Transportation (DOT) significantly reduced tarmac delays; however, the DOT's investigations of tarmac delay incidents triggered the investigated airlines' risk-averse behavior, which increased flight cancelations and gate departure delays to avoid violating the rule. The analyses suggest that the most effective way of regulation depends on conditions unique to each policy area; the government should design interventions that circumvent strategic behaviors of subjects or groups that the interventions affect. This book is highly relevant to academics and practitioners interested in understanding the interactive effects between policy interventions and firms' strategic reactions.

Free Download Assessing for Learning: Building a Sustainable Commitment Across the Institution by Peggy L. Maki
English | November 23, 2010 | ISBN: 1579224415 | 356 pages | PDF | 44 Mb
While there is consensus that institutions need to represent their educational effectiveness through documentation of student learning, the higher education community is divided between those who support national standardized tests to compare institutions' educational effectiveness, and those who believe that valid assessment of student achievement is based on assessing the work that students produce along and at the end of their educational journeys. This book espouses the latter philosophy―what Peggy Maki sees as an integrated and authentic approach to providing evidence of student learning based on the work that students produce along the chronology of their learning. She believes that assessment needs to be humanized, as opposed to standardized, to take into account the demographics of institutions, as students do not all start at the same place in their learning. Students also need the tools to assess their own progress. In addition to updating and expanding the contents of her first edition to reflect changes in assessment practices and developments over the last seven years, such as the development of technology-enabled assessment methods and the national need for institutions to demonstrate that they are using results to improve student learning, Maki focuses on ways to deepen program and institution-level assessment within the context of collective inquiry about student learning. Recognizing that assessment is not initially a linear start-up process or even necessarily sequential, and recognizing that institutions develop processes appropriate for their mission and culture, this book does not take a prescriptive or formulaic approach to building this commitment. What it does present is a framework, with examples of processes and strategies, to assist faculty, staff, administrators, and campus leaders to develop a sustainable and shared core institutional process that deepens inquiry into what and how students learn to identify and improve patterns of weakness that inhibit learning. This book is designed to assist colleges and universities build a sustainable commitment to assessing student learning at both the institution and program levels. It provides the tools for collective inquiry among faculty, staff, administrators and students to develop evidence of students' abilities to integrate, apply and transfer learning, as well as to construct their own meaning. Each chapter also concludes with (1) an Additional Resources section that includes references to meta-sites with further resources, so users can pursue particular issues in greater depth and detail and (2) worksheets, guides, and exercises designed to build collaborative ownership of assessment.The second edition now covers: * Strategies to connect students to an institution's or a program's assessment commitment* Description of the components of a comprehensive institutional commitment that engages the institution, educators, and students-all as learners* Expanded coverage of direct and indirect assessment methods, including technology-enabled methods that engage students in the process* New case studies and campus examples covering undergraduate, graduate education, and the co-curriculum* New chapter with case studies that presents a framework for a backward designed problem-based assessment process, anchored in answering open-ended research or study questions that lead to improving pedagogy and educational practices* Integration of developments across professional, scholarly, and accrediting bodies, and disciplinary organizations* Descriptions and illustrations of assessment management systems* Additional examples, exercises, guides and worksheets that align with new content

Free Download Artificial Intelligence for Healthcare: Machine Learning and Diagnostics by Rishabha Malviya, Shivam Rajput, Mukesh Roy
English | April 21, 2025 | ISBN: 3111547582 | 285 pages | MOBI | 2.02 Mb
The book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI's transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.

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Dl4All is download free for all software and educational resource. With a little searching, you can download what you need for free without spending any money.

Dl4All - Download free For All: software and educational resource.

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