Foregrounds


Book Description

"Foregrounds contributes to the development of theories of learning, in particular to theories of learning mathematics. It is relevant to students, student teachers, and researchers in the field of education as well as in mathematics education. Foregrounds contains six parts. Part I provides a summary of the notion of foreground as it has developed since the author introduced the idea in Towards a Philosophy of Critical Mathematics Education. In Part II, the reader meets some students who tell us about their neighbourhood, about drug dealing, violence, and about playing football. They tell us about their teachers, about mathematics, and about what they would like their teachers to do. They tell us about their hopes, expectations, and frustrations. Part III presents the notions of intentionality and life-world as developed by Brentano and Husserl. However, in Part IV the author provides a radical reinterpretation of these two notions. He describes “real-life intentionalities” and “real-life worlds” as profoundly structured by a range of social factors. Part V is composed as a meeting between, on the one hand, the students and their experiences as presented in Part II, and on the other hand these notions of “real-life intentionalities” and “real-life worlds”. Through this meeting the author develops further the notion of foreground. The concluding part (Part VI) brings more examples as illustrations. Ole Skovsmose has a special interest in critical mathematics education. He has investigated the landscape of investigation, students’ experience of meaning, project work, mathematics education and democracy, mathematics in action, and mathematics and power. He has published more than 20 books in Danish, English and Portuguese as well as a huge number of articles. Sense has published the following books by Ole Skovsmose: Travelling through Education, In Doubt, An Invitation to Critical Mathematics Education, and Opening the Cage: Critique and Politics of Mathematics Education, which is edited together with Brian Greer."




Diffuse Radio Foregrounds


Book Description

This extensive thesis work covers several topics, including intensity and polarization, focusing on a new polarization bias reduction method. Vidal studied data from the WMAP satellite, which is low signal-to-noise and as such has to be corrected for polarization bias. He presents a new method for correcting the data, based on knowledge of the underlying angle of polarization. Using this novel method, he sets upper limits for the polarization fraction of regions known to emit significant amounts of spinning dust emissions. He also studies the large-scale loops and filaments that dominate the synchrotron sky. The dominant features are investigated, including identification of several new features. For the North Polar Spur, a model of an expanding shell in the vicinity of the Sun is tested, which appears to fit the data. Implications for CMB polarization surveys are also discussed. In addition, Vidal presents interferometric observations of the dark cloud LDN 1780 at 31 GHz and shows that the spinning dust hypothesis can explain the radio properties observed.




Microwave Foregrounds


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Art Culture


Book Description




The Photographic Journal


Book Description

Vols. for 1853- include the transactions of the Royal Photographic Society of Great Britain.













Pattern Recognition and Computer Vision


Book Description

The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.