2,215 research outputs found
The Emperor Has No Clothes: Confronting the DC Circuit’s Usurpation of SEC Rulemaking Authority
In The Emperor Has No Clothes: Confronting the D.C. Circuit’s Usurpation of SEC Rulemaking Authority, Professor James D. Cox of Duke University School of Law & Benjamin J.C. Baucom, recent law clerk to Justice Don R. Willett of the Supreme Court of Texas, argue “that the level of review invoked by the D.C. Circuit in Business Roundtable and its earlier decisions is dramatically inconsistent with the standard enacted by Congress.” They conclude “that the D.C. Circuit has assumed for itself a role opposed to the one Congress prescribed for courts reviewing SEC rules.
Public health advocacy for the Berlin Declaration on tuberculosis in the former Soviet Union: the view of Médecins Sans Frontières
Consumption processes and positively homogeneous projection properties
We constructively prove the existence of time-discrete consumption processes
for stochastic money accounts that fulfill a pre-specified positively
homogeneous projection property (PHPP) and let the account always be positive
and exactly zero at the end. One possible example is consumption rates forming
a martingale under the above restrictions. For finite spaces, it is shown that
any strictly positive consumption strategy with restrictions as above possesses
at least one corresponding PHPP and could be constructed from it. We also
consider numeric examples under time-discrete and -continuous account
processes, cases with infinite time horizons and applications to income
drawdown and bonus theory.Comment: 24 pages, 2 figure
Prolegomena to a Study of the Dominical Logoi as Cited in the Didascalia Apostolorum Part 1: Introductory Matters (cont.)
Prolegomena to a Study of the Dominical Logoi as Cited in the Didascalia Apostolorum. Part II, Methodological Questions (cont.)
Prolegomena to a Study of the Dominical Logoi as Cited in the Didascalia Apostolorum. Part II: Methodological Questions (cont.)
Simulation of a modified Hubbard model with a chemical potential using a meron-cluster algorithm
We show how a variant of the Hubbard model can be simulated using a
meron-cluster algorithm. This provides a major improvement in our ability to
determine the behavior of these types of models. We also present some results
that clearly demonstrate the existence of a superconducting state in this
model.Comment: 9 pages, Lattice2002(plenary
Pretreatment with beta-blockers and the frequency of hypokalemia in patients with acute chest pain
Plasma potassium concentration was measured at admission in 1234 patients who presented with acute chest pain. One hundred and ninety five patients were on P blockers before admission. The potassium concentrations of patients admitted early (within four hours of onsetof symptoms) were compared with those admitted later (4-18 hours after onset of symptoms). There was a transient fall in plasma potassium concentrations in patients not pre-treated with , B blockers. This was not seen in patients who had been on P blockers before admission. Nonselective, B blockers were more effective than cardioselective agents in maintaining concentrationsof plasma potassium. These findings suggest a mechanism for the beneficial effects of ,B blockers on morbidity and mortality in acute myocardial infarction
Meron-Cluster Approach to Systems of Strongly Correlated Electrons
Numerical simulations of strongly correlated electron systems suffer from the
notorious fermion sign problem which has prevented progress in understanding if
systems like the Hubbard model display high-temperature superconductivity. Here
we show how the fermion sign problem can be solved completely with
meron-cluster methods in a large class of models of strongly correlated
electron systems, some of which are in the extended Hubbard model family and
show s-wave superconductivity. In these models we also find that on-site
repulsion can even coexist with a weak chemical potential without introducing
sign problems. We argue that since these models can be simulated efficiently
using cluster algorithms they are ideal for studying many of the interesting
phenomena in strongly correlated electron systems.Comment: 36 Pages, 13 figures, plain Late
Estimating primary production from oxygen time series: A novel approach in the frequency domain
Based on an analysis in the frequency domain of the governing equation of oxygen dynamics in aquatic systems, we derive a new method for estimating gross primary production (GPP) from oxygen time series. The central result of this article is a relation between time averaged GPP and the amplitude of the diel harmonic in an oxygen time series. We call this relation the Fourier method for estimating GPP. To assess the performance and accuracy of the method, we generate synthetic oxygen time series with a series of gradually more complex models, and compare the result with simulated GPP. We demonstrate that the method is applicable in systems with a range of rates of mixing, air–water exchange and primary production. We also apply the new method to oxygen time series from the Scheldt estuary (Belgium) and compare it with 14C-based GPP measurements. We demonstrate the Fourier method is particularly suited for estimating GPP in estuarine and coastal systems where tidal advection has a large imprint in observed oxygen concentrations. As such it enlarges the number of systems where GPP can be estimated from in situ oxygen concentrations. By shifting the focus to the frequency domain, we also gain some useful insights on the effect of observational error and of stochastic drivers of oxygen dynamics on metabolic estimates derived from oxygen time series
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