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Libros sobre el tema "Big data concepts"

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Publicado: 4 de junio de 2021
Última modificación: 5 de febrero de 2022

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1

Yu, Shui y Song Guo, eds. Big Data Concepts, Theories, and Applications. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27763-9.

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2

Cutt, Shannon, ed. Practical Statistics for Data Scientists: 50 Essential Concepts. Beijing: O’Reilly Media, 2017.

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3

Wender, Ben A., ed. Refining the Concept of Scientific Inference When Working with Big Data. Washington, D.C.: National Academies Press, 2017. http://dx.doi.org/10.17226/24654.

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4

Yu, Shui y Song Guo. Big Data Concepts, Theories, and Applications. Springer, 2018.

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5

Gandomi, Amir H., Balamurugan Balusamy y Nandhini Abirami R. Big Data: Concepts, Technology, and Architecture. Wiley & Sons, Limited, John, 2021.

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6

Costa, Carlos y Maribel Yasmina Santos. Big Data: Concepts, Warehousing, and Analytics. River Publishers, 2020.

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7

Yu, Shui y Song Guo. Big Data Concepts, Theories, and Applications. Springer, 2016.

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8

Costa, Carlos y Maribel Yasmina Santos. Big Data: Concepts, Warehousing, and Analytics. River Publishers, 2020.

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9

Jo, Taeho. Text Mining: Concepts, Implementation, and Big Data Challenge (Studies in Big Data). Springer, 2018.

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10

Association, Information Resources Management. Big Data: Concepts, Methodologies, Tools, and Applications. IGI Global, 2016.

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11

Big Data Fundamentals: Concepts, Drivers and Techniques. Pearson Higher Education & Professional Group, 2016.

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12

Jo, Taeho. Text Mining: Concepts, Implementation, and Big Data Challenge. Springer, 2019.

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13

Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications. Wiley & Sons, Limited, John, 2020.

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14

Deka, Ganesh Chandra, Robin Singh Bhadoria y Sourav Mazumder. Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications. Springer, 2018.

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15

Dulhare, Uma N., Khaleel Ahmad y Khairol Amali Bin Ahmad. Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications. Wiley & Sons, Incorporated, John, 2020.

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16

Distributed Computing in Big Data Analytics: Concepts, Technologies and Applications. Springer, 2017.

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17

Dulhare, Uma N., Khaleel Ahmad y Khairol Amali Bin Ahmad. Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications. Wiley & Sons, Incorporated, John, 2020.

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18

Kumar Mohbey, Krishna, Arvind Pandey y Dharmendra Singh Rajput, eds. Predictive Analytics Using Statistics and Big Data: Concepts and Modeling. BENTHAM SCIENCE PUBLISHERS, 2020. http://dx.doi.org/10.2174/97898114904911200101.

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19

Kumar, Neeraj, Sudeep Tanwar y Sudhanshu Tyagi. Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions. Springer, 2019.

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20

Journalism in an Era of Big Data: Cases, Concepts, and Critiques. Taylor & Francis Group, 2016.

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21

Computational Intelligence In Business Analytics Concepts Methods And Tools For Big Data. Pearson Education (US), 2014.

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22

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python. O'Reilly Media, Incorporated, 2020.

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23

Karim, Md Rezaul y Sridhar Alla. Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning. Packt Publishing, 2017.

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24

Lyon, Aidan. Data. Editado por Paul Humphreys. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199368815.013.37.

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In this chapter, the author reviews some of the philosophical issues that arise in connection with the concept of data. He first asks what data are, and he evaluates a number of different answers to this question that have been given. The author then examines the concept of so-called big data and the corresponding concept of big science. It has been claimed that the advent of big science calls for a fundamental change to science and scientific methodology. The author argues that such claims are too strong. Finally, the author reviews the distinction between data and phenomena, due to Bogen and Woodward 1988, and discusses some of its connections to big data and big science.
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25

Morin, Jean-Frédéric, Christian Olsson y Ece Özlem Atikcan, eds. Research Methods in the Social Sciences: An A-Z of key concepts. Oxford University Press, 2021. http://dx.doi.org/10.1093/hepl/9780198850298.001.0001.

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Research Methods in the Social Sciences features chapters that cover a wide range of concepts, methods, and theories. Each chapter begins with an introduction to a method, using real-world examples from a wide range of academic disciplines, before discussing the benefits and limitations of the approach, its current status in academic practice, and finally providing tips and advice on when and how to apply the method in research. The text covers both well-established concepts and emerging ideas, such as big data and network analysis, for qualitative and quantitative research methods.
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26

Insua, David Ríos y David Gómez-Ullate Oteiza. Big data : conceptos, tecnologías y aplicaciones: Conceptos, tecnologías y aplicaciones. Consejo Superior de Investigaciones Cientificas, 2019.

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27

Refining the Concept of Scientific Interface When Working with Big Data. Washington, D.C.: National Academies Press, 2016. http://dx.doi.org/10.17226/23616.

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28

van, José. The Platform Society as a Contested Concept. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190889760.003.0002.

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The first chapter lays out the “platform society” as a contested concept, embroidering on Airbnb as an example. The term refers to an emerging society in which social, economic, and interpersonal traffic is largely channeled by a global online platform ecosystem that is fueled by data and organized through algorithms. Platforms are defined and approached at three levels: the micro-level of individual platforms, the meso-level of the platform ecosystem, and the macro-level of platform geopolitics. The American-based ecosystem is mostly governed by five big tech companies (Alphabet-Google, Apple, Facebook, Amazon, and Microsoft) whose platform services are central to its overall design and the distribution of data flows. Besides the dominant tech companies, there are also state and civil society actors active in governing the platform society. The question is: who is or should be responsible for anchoring public values in societies that are increasingly organized through online systems?
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29

Dowd, Cate. Digital Journalism, Drones, and Automation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190655860.001.0001.

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Advances in online technology and news systems, such as automated reasoning across digital resources and connectivity to cloud servers for storage and software, have changed digital journalism production and publishing methods. Integrated media systems used by editors are also conduits to search systems and social media, but the lure of big data and rise in fake news have fragmented some layers of journalism, alongside investments in analytics and a shift in the loci for verification. Data has generated new roles to exploit data insights and machine learning methods, but access to big data and data lakes is so significant it has spawned newsworthy partnerships between media moguls and social media entrepreneurs. However, digital journalism does not even have its own semantic systems that could protect the values of journalism, but relies on the affordances of other systems. Amidst indexing and classification systems for well-defined vocabulary and concepts in news, data leaks and metadata present challenges for journalism. By contrast data visualisations and real-time field reporting with short-form mobile media and civilian drones set new standards during the European asylum seeker crisis. Aerial filming with drones also adds to the ontological base of journalism. An ontology for journalism and intersecting ontologies can inform the design of new semantic learning systems. The Semantic CAT Method, which draws on participatory design and game design, also assists the conceptual design of synthetic players with emotion attributes, towards a meta-model for learning. The design of context-aware sensor systems to protect journalists in conflict zones is also discussed.
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30

National Academies of Sciences, Engineering, and Medicine. Refining the Concept of Scientific Inference When Working with Big Data: Proceedings of a Workshop. National Academies Press, 2017.

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31

Hacisalihoglu, Gokhan. From Growing to Biology: Plants 1e. Florida State Open Publishing, 2021. http://dx.doi.org/10.33009/fsop_hacisalihoglu0421.

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Ready to find out how plants are grown and function? Take a fantastic voyage through plants. From Growing to Biology: Plants 1e brings the latest information for understanding of traditional and modern plant growing, form, and production. Topics covered in 30 chapters include concise and up-to-date ‘big picture’ infographics, student learning outcomes (SLOs), key vocabulary, assessment, as well as identification of 120 species, and more. Moreover, author Dr. G. Hacisalihoglu emphasizes on leaning concepts, binding those concepts together with visuals approach to make learning faster and more memorable. From Growing to Biology: Plants 1e is packed full of horticultural information that is ideal for both academia and industry growers. It is basic enough that if you are just getting started learning plants, you will be able to catch up. Always remember that practice makes permanent and keep going to take your learning plant bio to new levels.
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32

Davies, Tim, Stephen B. Walker, Mor Rubinstein y Fernando Luis Perini. The State of Open Data: Histories and Horizons. African Minds and IDRC, 2019. http://dx.doi.org/10.47622/9781928331957.

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Its been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.
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33

Iliopoulos, John. A Brief History of Cosmology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198805175.003.0002.

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We present the evolution of our ideas concerning the history of the Cosmos. They are based on Einstein’s theory of General Relativity in which E.P. Hubble and G. Lemaître brought two fundamental new concepts: the expansion of the Universe and the model of the Big Bang. They form the basic elements of the modern theory of Cosmology. We present very briefly the observational evidence which corroborates this picture based on a vast amount of data, among which the most recent ones come from the Planck mission with a detailed measurement of the cosmic microwave background (CMB) radiation. We show that during its evolution the Universe went through several phase transitions giving rise to the formation of particles, atoms, nuclei, etc. A particular phase transition, which occurred very early in the cosmic history, around 10–12 seconds after the Big Bang, is the Brout–Englert–Higgs (BEH) transition during which a fraction of the energy was transformed into mass, thus making it possible for most elementary particles to become massive.
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34

Oliva Abarca, Jesús Eduardo. Cultura y Big Data. Métodos y técnicas para el análisis cultural en una sociedad datificada. Ediciones Comunicación Científica, 2021. http://dx.doi.org/10.52501/cc.014.

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El propósito de este libro es ejemplificar los conceptos, métodos y aplicaciones de la analítica cultural, propuesta formulada por Lev Manovich, y que consiste en el empleo sistemático de herramientas y técnicas de la ciencia de datos para el análisis de datos masivos de fenómenos culturales. Con tal objetivo, se presentan tres estudios que ejemplifican diferentes flujos de trabajo desde este enfoque. El primero consiste en un análisis del micromecenazgo cultural y creativo en México y América Latina, así como en la elaboración de dos sistemas de recomendación a partir de la recolección automatizada de datos mediante “raspado de red” (web scraping), todo ello con la finalidad de brindar información relevante para la financiación de proyectos de artistas y creativos independientes. El segundo estudio es la aplicación de técnicas de procesamiento de lenguaje natural (natural language processing) a un corpus conformado por diversos tweets, a partir de los cuales se elabora un modelo de clasificación automática de textos. A partir del examen automatizado de atributos sintácticos y semánticos, se perciben las diferencias estructurales entre tweets clasificados como noticias, frases o reflexiones, y ficciones. En el tercer estudio se abordan las posibilidades y usos de la visión computacional para el análisis y modelado de sistemas de clasificación de imágenes de obras plásticas; para ello, se parte del método iconográfico-iconológico, así como del procesamiento automatizado de atributos visuales de piezas artísticas. Del desarrollo de estas investigaciones se ratifica la necesidad de fomentar abordajes interdisciplinarios para el análisis de la cultura.
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35

Laundy, Matthew. Information technology in antimicrobial stewardship. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198758792.003.0008.

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The information technology (IT) revolution has totally changed the way we function in society, yet sometimes it appears that this revolution has bypassed healthcare, partially due to its inherently conservative nature and partially to justifiable concerns about patient safety and privacy. Information is essential for an effective antimicrobial stewardship programme. Stewardship programmes have been hampered by the lack of IT and informatics systems to monitor, measure, and support them. This chapter reviews the sources of information required for antimicrobial stewardship, electronic health records, including electronic prescribing, and clinical decision support systems. Barriers to the implementation of IT in stewardship are examined. Social media and online educational resources are discussed. Big Data and clinical intelligence systems are briefly investigated.
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36

Decristofano, Carolyn Cinami. Big Bang! The Tongue-Tickling Tale of a Speck That Became Spectacular. Charlesbridge Publishing, 2005.

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37

(Illustrator), Michael Carroll, ed. Big Bang! The Tongue-Tickling Tale of a Speck That Became Spectacular. Charlesbridge Publishing, 2005.

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38

Graham, Mark y William H. Dutton, eds. Society and the Internet. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198843498.001.0001.

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How is society being reshaped by the continued diffusion and increasing centrality of the Internet in everyday life and work? Society and the Internet provides key readings for students, scholars, and those interested in understanding the interactions of the Internet and society. This multidisciplinary collection of theoretically and empirically anchored chapters addresses the big questions about one of the most significant technological transformations of this century, through a diversity of data, methods, theories, and approaches. Drawing from a range of disciplinary perspectives, Internet research can address core questions about equality, voice, knowledge, participation, and power. By learning from the past and continuing to look toward the future, it can provide a better understanding of what the ever-changing configurations of technology and society mean, both for the everyday life of individuals and for the continued development of society at large. This second edition presents new and original contributions examining the escalating concerns around social media, disinformation, big data, and privacy. Following a foreword by Manuel Castells, the editors introduce some of the key issues in Internet Studies. The chapters then offer the latest research, in five focused sections: The Internet in Everyday Life; Digital Rights and Human Rights; Networked Ideas, Politics, and Governance; then Networked Businesses, Industries, and Economics; and finally, Technological and Regulatory Histories and Futures. This book is a valuable resource not only for students and researchers, but for anyone seeking a critical examination of the economic, social, and political factors shaping the Internet and its impact on society.
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39

Lee, Maurice S. Overwhelmed. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691192925.001.0001.

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What happens to literature during an information revolution? How do readers and writers adapt to proliferating data and texts? These questions appear uniquely urgent today in a world of information overload, big data, and the digital humanities. But as this book shows, these concerns are not new—they also mattered in the nineteenth century, as the rapid expansion of print created new relationships between literature and information. Exploring four key areas—reading, searching, counting, and testing—in which nineteenth-century British and American literary practices engaged developing information technologies, the book delves into a diverse range of writings, from canonical works by Samuel Taylor Coleridge, Ralph Waldo Emerson, Charlotte Brontë, Nathaniel Hawthorne, and Charles Dickens to lesser-known texts such as popular adventure novels, standardized literature tests, antiquarian journals, and early statistical literary criticism. In doing so, it presents a new argument: rather than being at odds, as generations of critics have viewed them, literature and information in the nineteenth century were entangled in surprisingly collaborative ways. The book illuminates today's debates about the digital humanities, the crisis in the humanities, and the future of literature.
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40

Neudert, Lisa-Maria N. Germany. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190931407.003.0008.

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As concerns over misinformation, political bots, and the impact of social media on public discourse manifest in Germany, this chapter explores the role of computational propaganda in and around German politics. The research sheds light on how algorithms, automation, and big data are leveraged to manipulate the German public, presenting real-time social media data and rich evidence from interviews with a wide range of German Internet experts—bot developers, policymakers, cyberwarfare specialists, victims of automated attacks, and social media moderators. In addition, the chapter examines how the ongoing public debate surrounding the threats of right-wing political currents and foreign election interference in the Federal Election 2017 has created sentiments of concern and fear. Imposed regulation, multi-stakeholder actionism, and sustained media attention remain unsubstantiated by empirical findings of computational propaganda. The chapter provides an in-depth analysis of social media discourse during the German parliamentary election 2016. Pioneering the methodological assessment of the magnitude of automation and junk news, the author finds limited evidence of computational propaganda in Germany. The author concludes that the impact of computational propaganda, nonetheless, is substantial in Germany, promoting a dispersed civic debate, political vigilance, and restrictive countermeasures that leave a deep imprint on the freedom and openness of the public discourse in Germany.
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41

Eriksson, Olle, Anders Bergman, Lars Bergqvist y Johan Hellsvik. Ultrafast Switching Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.003.0011.

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The time-integrated amount of data and stored information, is doubled roughly every eighteen months, and since the majority of the worlds information is stored in magnetic media, the possibility to write and retrieve information in a magnetic material at ever greater speed and with lower energy consumption, has obvious benefits for our society. Hence the seemingly simple switching of a magnetic unit, a bit, is a crucial process which defines how efficiently information can be stored and retrieved from a magnetic memory. Of particular interest here are the concepts of ultrafast magnetism and all-optical control of magnetism which have in recent decades become the basis for an intense research field. The motivation is natural; the mechanisms behind these phenomena are far from trivial and the technological implications are huge.
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42

Blumenstyk, Goldie. American Higher Education in Crisis? Oxford University Press, 2014. http://dx.doi.org/10.1093/wentk/9780199374090.001.0001.

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American higher education is at a crossroads. Technological innovations and disruptive market forces are buffeting colleges and universities at the very time their financial structure grows increasingly fragile. Disinvestment by states has driven up tuition prices at public colleges, and student debt has reached a startling record-high of one trillion dollars. Cost-minded students and their families--and the public at large--are questioning the worth of a college education, even as study after study shows how important it is to economic and social mobility. And as elite institutions trim financial aid and change other business practices in search of more sustainable business models, racial and economic stratification in American higher education is only growing. In American Higher Education in Crisis?: What Everyone Needs to Know, Goldie Blumenstyk, who has been reporting on higher education trends for 25 years, guides readers through the forces and trends that have brought the education system to this point, and highlights some of the ways they will reshape America's colleges in the years to come. Blumenstyk hones in on debates over the value of post-secondary education, problems of affordability, and concerns about the growing economic divide. Fewer and fewer people can afford the constantly increasing tuition price of college, Blumenstyk shows, and yet college graduates in the United States now earn on average twice as much as those with only a high-school education. She also discusses faculty tenure and growing administrative bureaucracies on campuses; considers new demands for accountability such as those reflected in the U.S. Department of Education's College Scorecard; and questions how the money chase in big-time college athletics, revelations about colleges falsifying rankings data, and corporate-style presidential salaries have soured public perception. Higher education is facing a serious set of challenges, but solutions have also begun to emerge. Blumenstyk highlights how institutions are responding to the rise of alternative-educational opportunities and the new academic and business models that are appearing, and considers how the Obama administration and public organizations are working to address questions of affordability, diversity, and academic integrity. She addresses some of the advances in technology colleges are employing to attract and retain students; outlines emerging competency-based programs that are reshaping conceptions of a college degree, and offers readers a look at promising innovations that could alter the higher education landscape in the near future. An extremely timely and focused look at this embattled and evolving arena, this primer emphasizes how open-ended the conversation about higher education's future remains, and illuminates how big the stakes are for students, colleges, and the nation.
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43

Misra, Girishwar, ed. Psychology: Volume 4. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199498871.001.0001.

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This survey of research on psychology in five volumes is a part of a series undertaken by the ICSSR since 1969, which covers various disciplines under social science. Volume Four of this survey, Themes in Contemporary Mental Health Research, deals with mental health, which constitutes one of the fascinating and important areas of psychological applications. With the rise in incidence and complexity of health-related challenges in the contemporary period, there is a growing need to understand the pattern of disorders and ways to improve health and well-being of the people. Psychological research in this area has moved beyond a medical model and has embraced a bio-psycho-social perspective on health, which suggests that the biological mechanisms alone are insufficient to maintain or promote health. Additionally, there is growing evidence that psychological knowledge can contribute substantially to health promotion. The emerging subfield of health psychology encompasses the strategies for health promotion and making preventive health measures more effective. Against this backdrop, the contributors focus on a set of psychological disorders, their treatment, and a critical analysis of the development of the field of health psychology. The six chapters of this volume look at the most recent perspectives in the fields of mental health and psychotherapy in India. They offer up-to-date assessment of the status of practice, training, and research in psychotherapy as well as examine the shift to critical and interpretive approaches in the disciplines of health and community psychology. Additionally, it evaluates some concepts of preventive mental health as applicable to children in India.
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