User's guide for atmospheric carbon monoxide transport model

In the winter months of Fairbanks, Alaska, a highly stable air temperature inversion creates high levels of carbon monoxide (CO) concentrations. As an aid to understanding this problem, a CO transport computer model has been created which provides a useful tool when used in conjunction with other measurement and analytic studies of traffic, meteorology, emissions control, zoning, and parking management. The model is completely documented and illustrated with several examples. Named ACOSP (Atmospheric CO Simulation Program), it predicts expected CO concentrations within a specific geographic area for a defined set of CO sources. At the present time, the model is programmed to consider automobile emissions as the major CO source and may include estimates of stationary sources. The model is coded for computer solution in the FORTRAN programming language and uses the finite-element method of numerical solution of the basic convective-diffusion equations. Although it has a potential for real-time analysis and control, at the present time the model will be most valuable for investigating and understanding the physical processes which are responsible for high CO levels and for testing remedial control measures at high speed and low cost

Controlled Environment Agriculture: A Pilot Project

The controlled-environment agricultural (CEA) project discussed in this report was first conceived for the Wildwood Air Force Station in Kenai, Alaska, in 1972. The region contained high unemployment and a U.S. Air Force Station that had just closed. The Kenai Native Association, Inc. (KNA), was to take possession of the Air Force Station through land transfers associated with the Alaska Native Claims Settlement Act, and this corporation was interested in expanding business and employment opportunities for local people. The University of Alaska Agricultural Experiment Station (AES) contacted KNA to determine if it had a facility which might be adaptable for use in a research and development program in controlled- 1 environment agriculture. It was determined that such a facility was available. Subsequently, AES and KNA contacted the General Electric Company (GE) in Syracuse, New York, to determine its interest in such a project. GE had extensive background in lighting technology and environmental control systems and the engineering capability to develop a total system for CEA production. It was agreed that GE would provide technological expertise and AES would provide horticultural and economic expertise for the growing and marketing of a variety of salad crops. KNA would manage the project, employ the nontechnical people, and provide the building. The Wildwood site was selected because it contained two buildings which were thought to be well suited for CEA production. One building would provide sufficient inside space for a 1/4-acre pilot production plant, nine small research modules , a laboratory , offices, a training area, and space for preparing the crop for shipping. A second building near the first contained three diesel generators which were to be converted to natural gas to provide power for the production facility.The Controlled Environment Agriculture Project at Wildwood Village, Kenai, Alaska, spanned a period of five years. During that time, three agencies: Kenai Native Association, Inc.; General Electric Company; and University of Alaska Agricultural Experiment Station , were responsible for the management, research, and production activities. Many persons from these agencies who participated in all phases of the project are acknowledged for their participation and support. This report summarizes work began in 1972 and concluded in 1977 on controlled-environment agriculture in facilities located at Wildwood Village, Kenai, Alaska, managed by the Kenai Native Association , Inc. The authors wish to express their appreciation to all those who have participated in the preparation of this bulletin. Particular acknowledgment is given to: Dr. Gerald Carlson, U.S .D.A., Beltsville, Maryland; Dr. Donald Dinkel, University of Alaska, Agricultural Experiment Station; Dr. Delbert Hemphill, Oregon State University ; John Monfor, Kenai Native Association, Inc.; Dr. Eion Scott, General Electric Company; and Dr. Norman Whittlesey, Washington State University, who thoroughly reviewed the contract document

Reconciling Ethnicity and Nation: Contending Discourses in Fiji's Consitutional Reform

The process of Fiji’s recent constitutional reform highlighted the dilemma of reconciling a principle of indigenous Fijian paramountcy with an imperative to shape a multiethnic nation for which non-Fijian, particularly Indian, contributions have long been crucial. The article addresses this dilemma in a discussion of the dominant themes in public discourse about constitutional change, and the relation of these themes to the values, pressures, and opportunities of three arenas: ethnic, national, and international. Three contrasting paradigms for the nation are identified: a universalist vision grounded in international human rights ideology, an exclusionary Fijian ethnonationalism affirmed most strongly in the army coups of 1987 and their aftermath, and an interethnic accommodation and partnership in which leading Fijian chiefs continue to have a stabilizing and legitimating function. The last model prevailed in the constitutional reform, demonstrating a continuity with trends in the shaping of political culture during colonial and early postcolonial times. The story of the constitutional reform is in part the saga of how the ethnonationalist coup maker who became prime minister, Sitiveni Rabuka, has tried to remake himself as a national leader. In the crucial role he eventually assumed as overseer of reform, he depended on support from chiefs and their councils. The paper concludes, against much of the postcoup literature on Fiji, that over the long term the major significance of the chiefs in the national political arena is not as a privileged “vested interest” group obstructing a solution to the problem of establishing a viable democratic polity, but as part of this solution

Determining what materials to develop

How do you determine what materials to develop? By using a new model that is so efficient and effective, it practically guarantees the production of relevant high-quality CBE materials at the lowest possible cost. The SCID model was carefully developed to incorporate the critical tasks needed to develop the kinds of CBE curriculum and instructional materials needed to train tomorrow’s work force today. Twenty-three components—a few optional but most essential—are grouped into five phases: Curriculum analysis, Curriculum design, Instructional Development, Training Implementation, and Program Evaluation. This model has been used since 1990 to train over 1000 curriculum specialists, and training and development specialists from schools, colleges, companies, and government agencies, domestically and internationally. SCID is a process that works

Determining what to teach

Managers and supervisors in all work and educational settings need accurate job information to support data-based decision making. The DACUM (Develop A Curriculum) job/occupational analysis process has been used to conduct over 500 workshops for various educational agencies, businesses and industries, and state and federal agencies. It is a very effective, quick and low-cost process for precisely identifying the duties and tasks performed by expert workers. Most trainees are from community college, companies, and government agencies around the United States and more than 25 other countries. Given an accurate and detailed description of what experts do, a school, college, company or government agency has a solid basis for training others to do the same. One writer described DACUM as a process for “cloning your best workers.” In addition to training and curriculum development, the process provides excellent data for management decision-making, career planning, needs assessment, test development, job redesign, performance evaluations, and quality control planning

Curly Headed Baby

https://digitalcommons.library.umaine.edu/mmb-vp/4126/thumbnail.jp