Business Commons^™

June 1989, Inland Empire Business Journal

Inland Empire Business Journal

Health of the Inland Empire Financial Institutions the Inland Empire Business Journal contacted the FDIC to obtain information on Inland Empire banks on the "problem bank list" in the aftermath of the Savings and Loan Crisis.............................1

Gambling Could Raise $500,000 in New Taxes for Cathedral City Mayor George G. Hardie's proposal for a resort hotel and gaming Card Club complex. (includes interview with Mayor Hardie).......................1

Developers Offer Sewer Fund Monies a consortium of eastern Riverside County developers approached the Eastern Municipal Water District (EMWD) with a proposal to pre-pay building permit fees to accelerate sewer plant expansion to support development.......................1 …

Beefin : Maximizing Profits From Feeding Beef Cattle Out Of Season, R G. Grieve, David Barker, Jim May

Journal of the Department of Agriculture, Western Australia, Series 4

BEEFIN is a computer model that formulates profit maximising diets for finishing beef cattle to a specified carcass weight and fat thickness. It predicts cattle growth rate, feed conversion ratio, final liveweight, number of days on feed and the amount of available feedstuffs required to finish cattle to specification, The diets fulfil the animal's energy, protien, mineral and roughage requirements.

BEEFIN also calculates a profit and loss budget for the enterprise, performs a sensitivity analysis on changes in the price for both cattle and feed and determines the changes in feed prices needed before the composition of the diet is …

Nonrandom Mixing Models Of Hiv Transmission, Peter Cramton, Edward H. Kaplan, A. David Paltiel

Peter Cramton

Models of HIV transmission and the AIDS epidemic generally assume random mixing among those infected with HIV and those who are not. For sexually transmitted HIV, this implies that individuals select sex partners without regard to attributes such as familiarity, attractiveness, or risk of infection. This paper formulates a model for examining the impact of nonrandom mixing on HIV transmission. We present threshold conditions that determine when HIV epidemics can occur within the framework of this model. Nonrandom mixing is introduced by assuming that sexually active individuals select sex partners to minimize the risk of infection. In addition to variability …