11,232 research outputs found
ADJUSTING FARM PRODUCTION THROUGH A GRASS AND LIVESTOCK PROGRAM: A NEW LOOK AT AGRICULTURAL PROGRAMS
Production Economics,
The Curriculum of Capitalism: Schooled to Profit or Schooled to Educate
Utilizing a critical pragmatist framework for analysis of the United States public school education, the research suggests the United States public education system perpetuates a curriculum of Capitalism linking with democracy; yet social Capitalism remains remarkably undemocratic as the experience of race, class, and gender contradict the curriculum of public schools. The consequence of these contradictions is perpetuation of racist or sexist stereotypes, a distinct class system delineated by financial, educational, and techno-wealth, a heightened if not profound sense that the American ideal is no longer within reach or a political sham. In sharp contrast to conservative theories of education and the move to standardize education, progressive educators do not believe in disassociating classroom experience from the sum of the accumulated experience of the individual. The research utilizes a number of tools of curriculum theorists including the incorporation of biographical material of Du Bois, Dewey, Lessing, Marcuse, and Feyerabend as the primary method for investigation
Dark Energy as a Born-Infeld Gauge Interaction Violating the Equivalence Principle
We investigate the possibility that dark energy does not couple to
gravitation in the same way than ordinary matter, yielding a violation of the
weak and strong equivalence principles on cosmological scales. We build a
transient mechanism in which gravitation is pushed away from general relativity
by a Born-Infeld gauge interaction acting as an "Abnormally Weighting" (dark)
Energy. This mechanism accounts for the Hubble diagram of far-away supernovae
by cosmic acceleration and time variation of the gravitational constant while
accounting naturally for the present tests on general relativity.Comment: 5 pages, 3 figures, sequel of Phys. Rev. D 73 023520 (2006), to
appear in Physical Review Letter
Valley for Caesar, a pageant play
A fictionalized drama set in the conflict in Western Montana over the refusal of Chief Charlot and his band to leave the Bitterroot Valley for the Jocko Reservation during the 1870\u27s and 1880\u27s
Rippled Cosmological Dark Matter from Damped Oscillating Newton Constant
Let the reciprocal Newton 'constant' be an apparently non-dynamical
Brans-Dicke scalar field damped oscillating towards its General Relativistic
VEV. We show, without introducing additional matter fields or dust, that the
corresponding cosmological evolution averagely resembles, in the Jordan frame,
the familiar dark radiation -> dark matter -> dark energy domination sequence.
The fingerprints of our theory are fine ripples, hopefully testable, in the FRW
scale factor; they die away at the General Relativity limit. The possibility
that the Brans-Dicke scalar also serves as the inflaton is favorably examined.Comment: RevTex4, 12 pages, 5 figures; Minor revision, References adde
Transcutaneous Electrical Nerve Stimulation (TENS) A Possible Aid for Pain Relief in Developing Countries?
Transcutaneous electrical nerve stimulation (TENS) refers to the delivery of electrical currents through the skin to activate peripheral nerves. The technique is widely used in developed countries to relieve a wide range of acute and chronic pain conditions, including pain resulting from cancer and its treatment. There are many systematic reviews on TENS although evidence is often inconclusive because of shortcomings in randomised control trials methodology. In this overview the basic science behind TENS will be discussed, the evidence of its effectiveness in specific clinical conditions analysed and a case for its use in pain management in developing countries will be made
Methods for Handling Unobserved Covariates in a Bayesian Update of a Cost-effectiveness Model
Health economic decision models often involve a wide-ranging and complicated synthesis of evidence from a number of sources, making design and implementation of such models resource-heavy. When new data become available and reassessment of treatment recommendations is warranted, it may be more efficient to perform a Bayesian update of an existing model than to construct a new model. If the existing model depends on many, possibly correlated, covariates, then an update may produce biased estimates of model parameters if some of these covariates are completely absent from the new data. Motivated by the need to update a cost-effectiveness analysis comparing diagnostic strategies for coronary heart disease, this study develops methods to overcome this obstacle by either introducing additional data or using results from previous studies. We outline a framework to handle unobserved covariates, and use our motivating example to illustrate both the flexibility of the proposed methods and some potential difficulties in applying them
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