High-gain nonlinear observer for simple genetic regulation process

High-gain nonlinear observers occur in the nonlinear automatic control theory and are in standard usage in chemical engineering processes. We apply such a type of analysis in the context of a very simple one-gene regulation circuit. In general, an observer combines an analytical differential-equation-based model with partial measurement of the system in order to estimate the non-measured state variables. We use one of the simplest observers, that of Gauthier et al., which is a copy of the original system plus a correction term which is easy to calculate. For the illustration of this procedure, we employ a biological model, recently adapted from Goodwin's old book by De Jong, in which one plays with the dynamics of the concentrations of the messenger RNA coding for a given protein, the protein itself, and a single metabolite. Using the observer instead of the metabolite, it is possible to rebuild the non-measured concentrations of the mRNA and the proteinComment: 9 pages, one figur

Alien Registration- Gauthier, Joseph V. (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/29861/thumbnail.jp

Alien Registration- Gauthier, Joseph V. (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/29861/thumbnail.jp

Total integrated dose testing of solid-state scientific CD4011, CD4013, and CD4060 devices by irradiation with CO-60 gamma rays

The total integrated dose response of three CMOS devices manufactured by Solid State Scientific has been measured using CO-60 gamma rays. Key parameter measurements were made and compared for each device type. The data show that the CD4011, CD4013, and CD4060 produced by this manufacturers should not be used in any environments where radiation levels might exceed 1,000 rad(Si)

Influence of Cost Share and EQIP Incentive Payments on Adoptions of Best Management Practices by Louisiana Dairy Farmers

Adoption of best management practices (BMPs) minimizes the negative externalities created by the manure by-product of milk production. Logistic regression procedure was used to understand the impact of socioeconomic attributes of Louisiana dairy farmers on BMP adoption decision relative to the cost share and incentive payment.Farm Management,

Factors Influencing and Steps Leading to the Adoption of Best Management Practices by Louisiana Dairy Farmers

A logistic regression procedure was used to assess the impact of socioeconomic attributes on the best management practices (BMPs) adoption decision by Louisiana dairy farmers relative to cost-share and fixed incentive payments. Analysis of the steps in the BMP adoption decision process indicated visits between producers and the U.S. Department of Agriculture–Natural Resource Conservation Service significantly increase likelihood of BMP adoption. Producer willingness-to-pay results indicate that marginal increases in dairy BMP adoption and associated improvement in environmental quality require increased technical and financial assistance.best management practices, bootstrap, cost-share, manure, steps in BMP adoption, Agribusiness, Agricultural and Food Policy, Farm Management, Food Consumption/Nutrition/Food Safety, Q16, Q25, Q53,

Willingness to Participate in Dairy Programs to Reduce Manure Related Problems in Louisiana's Major Dairy Production Region

Logistic and tobit models were used to understand the factors affecting dairy program participation and stated bid values by respondents. Results indicated that past participation is the key variable in regression. Bootstrap result confirms that most of the estimated parameters fall within the range of bootstrap confidence interval.Livestock Production/Industries,

Determination of BMP Adoption Effectiveness in the Louisiana Dairy Production Region.

AVGWLF and PRedICT softwares were used to estimate the Louisiana dairy industry's effect on water quality. Results indicated a 20 percent decrease in N and P but little decrease in sediment pollution even when best management practices were adopted in 75% of land.Livestock Production/Industries,