The Role of Management Behavior in Agricultural Cooperatives: Discussion

Agribusiness,

Bankruptcy of a Supply Cooperative: The Case of Agway, Inc.

Agribusiness,

What Gives Cooperatives a Bad Name?

Agribusiness,

The Last Sunset

THEY had long since lost sight of the formation and were now hanging limply over a hungry sea, a sea eagerly waiting for their fuel to give out..

Successful Forage Seeding Methods

Successful establishment of new pastures or hayfields begins with thoughtful selection of the forage species to be planted. Select sites that are likely to be productive, have access to livestock water, and can be fenced adequately. Sow crops the year prior to forage seeding that will permit control of problem weeds, but avoid use of herbicides that could result in carryover damage to new forage seedlings. Complete any major soil modifications well in advance of seeding

A comparison of the UK Standard Assessment Procedure (SAP) and detailed simulation of building-integrated renewable energy systems

The drive to reduce UK Carbon Emissions directly associated with dwellings and to achieve a zero carbon home dictates that Renewable Energy Technologies will have an increasingly large role in the built environment. Created by the Building Research Establishment (BRE), the Standard Assessment Procedure (SAP) is the UK Government’s recommended method of assessing the energy ratings of dwellings. This paper presents an evaluation of the advantage given to SAP ratings by the domestic installation of typical Photovoltaic (PV) and Solar Domestic Hot Water (SDHW) systems in the UK. Comparable PV and SDHW systems will also be simulated with more detailed modelling packages. Results suggest that calculation variances can exist between the SAP methodology and detailed simulation methods, especially for higher performance systems that deviate from the default efficiency parameters

Computational Methods and Results for Structured Multiscale Models of Tumor Invasion

We present multiscale models of cancer tumor invasion with components at the molecular, cellular, and tissue levels. We provide biological justifications for the model components, present computational results from the model, and discuss the scientific-computing methodology used to solve the model equations. The models and methodology presented in this paper form the basis for developing and treating increasingly complex, mechanistic models of tumor invasion that will be more predictive and less phenomenological. Because many of the features of the cancer models, such as taxis, aging and growth, are seen in other biological systems, the models and methods discussed here also provide a template for handling a broader range of biological problems