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Food and Power in the Twentieth Century, Spring 2005
Conditions of Use:
Remix and Share
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In this class, food serves as both the subject and the object ...

In this class, food serves as both the subject and the object of historical analysis. As a subject, food has been transformed over the last 100 years, largely as a result of ever more elaborate scientific and technological innovations. From a need to preserve surplus foods for leaner times grew an elaborate array of techniques -- drying, freezing, canning, salting, etc -- that changed not only what people ate, but how far they could/had to travel, the space in which they lived, their relations with neighbors and relatives, and most of all, their place in the economic order of things. The role of capitalism in supporting and extending food preservation and development was fundamental. As an object, food offers us a way into cultural, political, economic, and techno-scientific history. Long ignored by historians of science and technology, food offers a rich source for exploring, e.g., the creation and maintenance of mass-production techniques, industrial farming initiatives, the politics of consumption, vertical integration of business firms, globalization, changing race and gender identities, labor movements, and so forth. How is food different in these contexts, from other sorts of industrial goods? What does the trip from farm to table tell us about American culture and history?

Subject:
Economics
Material Type:
Full Course
Homework and Assignments
Syllabi
Provider:
M.I.T.
Provider Set:
M.I.T. OpenCourseWare
Author:
Fitzgerald, Deborah
Fourier Series: Eigenfunction Approach
Conditions of Use:
No Strings Attached
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This module will introduce the Fourier Series and its Fourier coefficients using ...

This module will introduce the Fourier Series and its Fourier coefficients using the concepts of eigenfunctions and basis. We will show several examples of how to decompose a signal and find the Fourier coefficients.

Material Type:
Readings
Syllabi
Provider:
Rice University
Provider Set:
Connexions
Author:
Justin Romberg
Image Denoising via the Redundant Wavelet Transform
Conditions of Use:
No Strings Attached
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This report summarizes work done as part of the Wavelet Based Image ...

This report summarizes work done as part of the Wavelet Based Image Analysis PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty, Undergraduates and Graduate students formed round the study of a common problem.

This module introduces the redundant discrete wavelet transform as well as two level dependent estimators that could potentially be used for image denoising, the Bishrink algorithm and the Bayesian Least Squares-Gaussian Scale Mixture algorithm. A simulation designed to evaluate the efficacies of each of these methods for the purpose of denoising astronomical image data is described, and its results are presented and discussed.

This Connexions module describes work conducted as part of Rice University's VIGRE program, supported by National Science Foundation grant DMS?0739420.

Material Type:
Readings
Provider:
Rice University
Provider Set:
Connexions
Author:
Colleen Kenney
Stephen Kruzick