Mathematical model for a radioactive marker in silicide formation

A mathematical model is constructed to interpret the profiles of radioactive (^31)Si tracers in a computer simulation proposed by R. Pretorius and A. P. Botha [Thin Solid Films 91, 99 (1982)]. This model assumes that only Si moves in the silicide, that the Si moves interstitially and convectively, and that the moving Si can exchange sites with the stationary Si in the silicide lattice. An analytical solution of this model is given and confirms the published computer simulation data. However, it is shown that the model is physically inadequate. Solutions of another model which assumes that metal, instead of Si, is the moving species for silicide formation (either interstitially, or substitutionally, or both), with self-diffusion of (^31)Si in the silicide during silicide formation. Almost all the experimental data can be fitted by solutions of both models. These examples demonstrate that radioactive tracer experiments alone are insufficient to determine the moving species when a solid binary compound film forms by reaction of adjacent elemental layers. Both inert marker and tracer data are needed to identify the moving species and the mechanisms

A structure marker study for Pd_2Si formation: Pd moves in epitaxial Pd_2Si

A sample with the configuration Si (111)/single crystalline Pd_2Si/polycrystalline Pd_2Si/Pd is used to study the dominant moving species during subsequent Pd_2Si formation by annealing at 275 °C. The interface between monocrystalline and polycrystalline Pd_2Si is used as a marker to monitor the dominant moving species. The result shows that Pd is the dominant moving species in the monocrystal

Designing Information Markets for Decision Making

People often make important decisions based on information elicited from experts with uncertain preferences. We provide a theoretical rationale for the use of information markets in decision making tasks. Specifically, we show that markets for claims on decision-relevant variables can be efficient incentive schemes for eliciting information. Our model shows decision makers will subsidize liquidity in illiquid decision markets to gather valuable information. Our model also shows that the mere act of linking the decision to the market price will typically enhance liquidity in the market. Overall, our results highlight the potential for using information markets in diverse decision making tasks.

Econometric Analysis of the Effects of Subsidies on Farm Production in Case of Endogenous Input Quantities

The effect of subsidies on farm production has been a major topic in agricultural economics for several decades. We present a new approach for analyzing the effects of different types of coupled and decoupled subsidies on farm production with econometric methods. In contrast to most previous studies, our approach is entirely based on a theoretical microeconomic model, explicitly allows subsidies to have an impact on input use, and takes linkages between the farm and the farm household into account.Agricultural and Food Policy, Productivity Analysis,

Econometric Analysis of the Effects of Subsidies on Farm Production in Case of Endogenous Input Quantities

Replaced with revised version of paper 07/29/09.panel data, subsidies, household model, endogeneity, Norwegian grain farming, Agricultural and Food Policy, Consumer/Household Economics, Production Economics,

Method of rubblization for in-situ oil shale processing

A method that produces a uniformly rubblized oil shale bed of desirable porosity for underground, in-situ heat extraction of oil. Rubblization is the generation of rubble of various sized fragments. The method uses explosive loadings lying at different levels in adjacent holes and detonation of the explosives at different levels in sequence to achieve the fracturing and the subsequent expansion of the fractured oil shale into excavated rooms both above and below the hole pattern

Bad Behavior: Health Insurance Mega-Mergers

2015 marked the beginning of a long battle for two major health insurance companies. On July 3, 2015, health insurance giant and third largest health insurance company by revenue, Aetna, announced that it entered into an agreement to acquire the fifth largest health insurance company, Humana, for $37 billion. Following a similar timeline, on July 24, 2015, second largest, Anthem, negotiated an even bigger merger with Cigna, the fourth largest, for$54.2 billion. Officials from all four companies lauded the benefits of the mergers, stating that the synergies between the respective companies would result in enhanced health care access, quality, and affordability for consumers, as well as transform the market to a more “consumer-focused marketplace.” However, many, including the Department of Justice, expressed concerns about the potential impact the proposed mega-mergers would have on competition in the health insurance industry, and issued a block Aetna’s acquisition of Humana, as well as Anthem’s acquisition of Cigna, citing concerns that the mergers would harm competition by reducing the number of large, national health insurers from five to three. This note analyzes the role of political gaming as it relates to mergers and acquisitions of major health insurance companies and how it can negatively impact consumers. More specifically, this note focuses on the deceptive tactics that Aetna and Anthem displayed in their pursuit of their respective acquisitions. Additionally, this note explains why the Federal Trade Commission and the Department of Justice must investigate these tactics in order to protect competition, prevent further market consolidation, and ensure protection against big corporate insurance. Further, this note explains how transitioning to a single payer system may resolve the issues that stem from the proposed mega-mergers

DETERMINANTS OF PART-TIME FARMING AND ITS EFFECT ON FARM PRODUCTIVITY AND EFFICIENCY

Little attention has been given in the agricultural economics literature to the impact of off-farm work on farm productivity and efficiency. More knowledge about what determines part-time farming and whether farm productivity and efficiency are affected by part-time farming could help policy makers introduce better targeted rural development policies. This paper aims to fill the above-mentioned gaps by first analysing factors that influence the choice of off-farm work; and then examining how off-farm work influences productivity and technical efficiency at the farm level. An unbalanced panel data set from 1991 to 2005 from Norwegian grain farms is used for this purpose. The results show that the likelihood of off-farm work and the share of time allocated to it increase with increasing age (up to 39 years), and with low relative yields (compared to others farms in the surrounding area/region). The level of support payments is not significantly associated with the extent of off-farm work. Large-scale farms and single farmers tend to have a lower likelihood of off-farm work. Average technical efficiency was found to be 79%. Farmers with low variability in farm revenue were found to be more technically efficient than farmers with high revenue variability. We did not find any evidence of off-farm work share affecting farm productivity − the predicted off-farm work share was not statistically significant. In other words, we did not find any systematic difference in farm productivity and technical efficiency between part-time and full-time farmers.off-farm work, productivity, efficiency, unobserved heterogeneity, panel data, Farm Management,