Impacts of Federal Tax Laws and Economic Developments on the Texas Cattle Industry.

52 p

Limited Partnerships in Texas Feedlots: Investor Characteristics, Investment Incentives, Fund Arrangements.

16 p

Analyses of Value-added for Case-ready Beef, with Special Emphasis on Texas.

66 p

The Texas Drylot Lamb Feeding Industry: Operational Characteristics and Costs.

32 p

Interregional Competition in the U.S. Cattle Feeding Fed-Beef Economy.

63 p

Economic Impact of Alternative Growth Promotant Strategies on the United States Beef Industry.

28 p

Phase transitions and ordering of confined dipolar fluids

We apply a modified mean-field density functional theory to determine the phase behavior of Stockmayer fluids in slitlike pores formed by two walls with identical substrate potentials. Based on the Carnahan-Starling equation of state, a fundamental-measure theory is employed to incorporate the effects of short-ranged hard sphere - like correlations while the long-ranged contributions to the fluid interaction potential are treated perturbatively. The liquid-vapor, ferromagnetic liquid - vapor, and ferromagnetic liquid - isotropic liquid first-order phase separations are investigated. The local orientational structure of the anisotropic and inhomogeneous ferromagnetic liquid phase is also studied. We discuss how the phase diagrams are shifted and distorted upon varying the pore width.Comment: 15 pages including 8 figure

Effects of Model Resolution and Coverage on Storm-Driven Coastal Flooding Predictions

Predictions of storm surge and flooding require models with higher resolution of coastal regions, to describe fine-scale bathymetric and topographic variations, natural and artificial channels, flow features, and barriers. However, models for real-time forecasting often use a lower resolution to improve efficiency. There is a need to understand how resolution of inland regions can translate to predictive accuracy, but previous studies have not considered differences between models that both represent conveyance into floodplains and are intended to be used in real time. In this study, the effects of model resolution and coverage are explored using comparisons between forecast-ready and production-grade models that both represent floodplains along the US southeast coast, but with typical resolutions in coastal regions of 400 and 50 m, respectively. For two storms that impacted the US southeast coast, it is shown that, although the overall error statistics are similar between simulations on the two meshes, the production-grade model allowed a greater conveyance into inland regions, which improved the tide and surge signals in small channels and increased the inundation volumes between 40% and 60%. Its extended coverage also removed water level errors of 20-40 cm associated with boundary effects in smaller regional models

Impacts of Federal Tax Laws and Economic Developments on the Texas Cattle Industry.

52 p

How to choose your research organism

Available online 26 December 2019, 101227Despite August Krogh's famous admonition that a ‘convenient’ organism exists for every biological problem, we argue that appeals to ‘convenience’ are not sufficient to capture reasoning about organism choice. Instead, we offer a detailed analysis based on empirical data and philosophical arguments for a working set of twenty criteria that interact with each other in the highly contextualized judgements that biologists make about organism choice. We propose to think of these decisions as a form of ‘differential analysis’ where researchers weigh multiple criteria for organismal choice against each other, and often utilize multidimensional refinement processes to finalize their choices. The specific details of any one case make it difficult to draw generalizations or to abstract away from specific research situations. However, this analysis of criteria for organismal choice and how these are related in practice allows us to reflect more generally on what makes a particular organism useful or ‘good.’Kadhim Kadhim, Melissa E. Middeldorp, Jeroen M. Hendriks, Dennis H. Lau, and Prashanthan Sander