Envelope from Miss Baker containing letters from George C. Parkinson, C. W. Emerson, Emeline B. Wells, and Lou Lewis

Letters of recommendation for Mercy Rachel Baker

Growth Response of Kenhy Fescue to Nitrogen Fertilizer

Kenhy fescue is a new, improved variety of tall fescue which has recently been released by the University of Kentucky Agricultural Experiment Station and the U.S.D.A. Agricultural Research Service (see University of Kentucky publication AGR-60, Kenhy A New Tall Fescue Variety ). Seed of this variety should become available to farmers in limited quantities in the summer 1977. The purpose of this report is to provide information on how this newly developed fescue variety produces as affected by time and rate of nitrogen application

Envelope from Miss Baker containing letters from Mercy Rachel Baker, C. W. Emerson, George C. Parkinson, Lou Lewis, and Emmeline B. Wells

Letters concerning a position in the English department at Utah Agricultural College as well as recommendations and testimonials

A Computer Model for Analysis of Alternative Burley Tobacco Harvesting Practice

Agricultural operations and practices have been the subject of many computer models and simulations. Holtman et al. (1970) developed a corn harvesting simulator, and Morey et al. (1971) used simulation techniques to analyze net profit of a corn harvesting and handling system during a particular weather year. Further, Loewer et al. (1977) advanced a model that assessed alternative beef production strategies for the individual farm with land, energy and capital as constraints. Bridges et al., (1979) developed a design simulation oriented toward the individual producer that examines corn harvesting systems and compares them regarding investment and annual cost. The CATCH (Computer Analysis of Tobacco Cutting and Housing) simulation model (Bridges et al., 1980) was written to apply similar principles to the analysis of burley tobacco systems

Economic Comparison of Alternative Burley Tobacco Harvesting Practices by Computer

The computer model CATCH (Computer Analysis of Tobacco Cutting and Housing) was developed to provide the individual tobacco producer with management information concerning alternative methods of harvesting burley tobacco. CATCH utilizes specific producer in-puts to analyze 24 alternative burley production systems and presents up to four economic rankings containing costs, equipment and labor for each system. The economic rankings aid the producer in decision making with regard to his own operation

Simulation of Burley Tobacco Harvesting-Housing Systems

A computer model has been developed using systems analysis techniques to simulate the labor and equipment aspects of harvesting burley tobacco. By varying the parameters of the model the user can determine a harvesting and housing strategy based on labor and equipment availability

A tuple space web service for distributed programming.

Abstract: This paper describes a new tuple space web service for coordination and communication in distributed web applications. This web service is based on the Linda programming model. Linda is a coordination language for parallel and distributed processing, providing a communication mechanism based on a logically shared memory space. The original Linda model has been extended through the provision of a programmable mechanism, providing additional flexibility and improved performance. The implementation of the web service is discussed, together with the details of the programmable matching mechanism. Some results from the implementation of a location-based mobile application, using the tuple space web service are presented, demonstrating the benefits of our system

Quasi-experimental study designs series-paper 5: a checklist for classifying studies evaluating the effects on health interventions-a taxonomy without labels.

OBJECTIVES: The aim of the study was to extend a previously published checklist of study design features to include study designs often used by health systems researchers and economists. Our intention is to help review authors in any field to set eligibility criteria for studies to include in a systematic review that relate directly to the intrinsic strength of the studies in inferring causality. We also seek to clarify key equivalences and differences in terminology used by different research communities. STUDY DESIGN AND SETTING: Expert consensus meeting. RESULTS: The checklist comprises seven questions, each with a list of response items, addressing: clustering of an intervention as an aspect of allocation or due to the intrinsic nature of the delivery of the intervention; for whom, and when, outcome data are available; how the intervention effect was estimated; the principle underlying control for confounding; how groups were formed; the features of a study carried out after it was designed; and the variables measured before intervention. CONCLUSION: The checklist clarifies the basis of credible quasi-experimental studies, reconciling different terminology used in different fields of investigation and facilitating communications across research communities. By applying the checklist, review authors' attention is also directed to the assumptions underpinning the methods for inferring causality