Audiences, Intertextuality and New Media Literacy

This article explores intertextuality as a technique that can be used to bridge old and new media literacies for teachers and students who hope to move beyond the textbook model of instruction into a world of online resources, flexible pedagogies and innovative designs for learning. These include the uses of online archives, media studies techniques, participatory knowledge creation, and multimedia analysis and production.Radio-Television-Fil

SOUTHERN ECONOMIC DEVELOPMENT: SOME VIEWS ON RESEARCH NEEDS

Research and Development/Tech Change/Emerging Technologies,

ENERGY AND THE U.S. ECONOMY

Resource /Energy Economics and Policy,

Ethanol subsidies, Who gets the benefits?

Agricultural and Food Policy, Resource /Energy Economics and Policy,

Ethanol Policy Analysis - What Have We Learned So Far?

Resource /Energy Economics and Policy, Q48, Q42,

Land Use Implications of Biofuel Production in the Presence of Idled Cropland and Crop Yield Improvement: Analytical and Numerical General Equilibrium Analyses

Labor and Human Capital,

DEVELOPMENT OF VARIABLE ETHANOL SUBSIDY AND COMPARISON WITH THE FIXED SUBSIDY

The federal government currently subsidizes ethanol with a fixed payment of $.51/gallon of ethanol blended with gasoline. Ethanol profitability is closely linked to the prices of corn and ethanol. The purpose of this paper was to develop a variable subsidy based on corn and ethanol prices and then to compare that variable subsidy with the fixed subsidy. This analysis proceeded in several distinct steps: • First, we estimated ethanol profitability over a wide range of ethanol, corn, and distillers grains prices. • This data was used in a regression analysis to estimate the ethanol profitability from the set of corn and ethanol prices. The regression coefficients became the basis for the variable subsidy. • A version of the subsidy that used gasoline prices instead of ethanol prices was also developed. • Administratively, it would be burdensome to have a subsidy that changed every month, so we implemented both variable subsidies using quarterly data. • We then compared the average annual government cost and monthly private profitability using historical data and assuming the variable subsidy and the$0.51 fixed subsidy was applied. When using historic gasoline and corn prices from the last ten years, the variable rate subsidy cost the government nearly 40% less than the flat rate subsidy. Profit received by producers on average is a little less; however, producer’s risk is lower with the variable subsidy than the flat rate subsidy.Ethanol, variable subsidy, energy policy, ethanol economics

Comparison of a Fixed and Variable Corn Ethanol Subsidy

Agricultural and Food Policy, Crop Production/Industries, Q48,

Non-Contiguous Pattern Avoidance in Binary Trees

In this paper we consider the enumeration of binary trees avoiding non-contiguous binary tree patterns. We begin by computing closed formulas for the number of trees avoiding a single binary tree pattern with 4 or fewer leaves and compare these results to analogous work for contiguous tree patterns. Next, we give an explicit generating function that counts binary trees avoiding a single non-contiguous tree pattern according to number of leaves. In addition, we enumerate binary trees that simultaneously avoid more than one tree pattern. Finally, we explore connections between pattern-avoiding trees and pattern-avoiding permutations.Comment: 21 pages, 2 figures, 1 tabl

Economic and Technical Analysis of Ethanol Dry Milling: MOdel User's Manual

Using the DM model is not complex: the user changes input values of interest (plant size, conversion rates, etc.) and examines the effect of these changes on output values (annual profits, feed stock requirements, etc.). There are nine worksheets in four modules in the excel workbook- assumptions, process, economics, and technology assessment. All user inputs are entered in the assumptions module of the model, which consists of three worksheets denoted with bright yellow tabs: process assumptions, economic assumptions and physical assumptions. The values that are entered on this page are then used in each of the subsequent modules to calculate hourly flow rates, equipment size and cost, total costs, loan terms, and annual profits. At the top of each page is a title bar which describes the page, the color coding of the cells, and pertinent information from the other pages. Before each of the pages is discussed, an explanation of the different types of cells in the model is in order.model user's manual