Academic literature on the topic 'Cheesemaking – Oregon – Decision making'

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Journal articles on the topic "Cheesemaking – Oregon – Decision making"

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WAAGE, SISSEL. "Collaborative Salmon Recovery Planning:Examining Decision Making and Implementationin Northeastern Oregon." Society & Natural Resources 16, no. 4 (2003): 295–307. http://dx.doi.org/10.1080/08941920390178865.

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Dakins, Maxine E., Jeffery D. Long, and Michael Hart. "COLLABORATIVE ENVIRONMENTAL DECISION MAKING IN OREGON WATERSHED GROUPS: PERCEPTIONS OF EFFECTIVENESS." Journal of the American Water Resources Association 41, no. 1 (2005): 171–80. http://dx.doi.org/10.1111/j.1752-1688.2005.tb03726.x.

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Eddy, D. M. "Clinical decision making: from theory to practice. What's going on in Oregon?" JAMA: The Journal of the American Medical Association 266, no. 3 (1991): 417–20. http://dx.doi.org/10.1001/jama.266.3.417.

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Peterson, Larry L. "The Oregon resource interaction model: an application of systems energetics principles to decision-making in Oregon state government—1974." Ecological Modelling 178, no. 1-2 (2004): 169–70. http://dx.doi.org/10.1016/j.ecolmodel.2003.12.029.

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Tricker, Raymond, and Declan Connolly. "Drug Education and the College Athlete: Evaluation of a Decision-Making Model." Journal of Drug Education 26, no. 2 (1996): 159–81. http://dx.doi.org/10.2190/11q1-r721-qtwj-r6a5.

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In general there is a lack of information describing the components and structure of drug education and prevention programs (DEPP) for college student athletes. While concern about the prevalence of drug abuse among college student athletes has increased, a relative lack of clarity remains regarding what elements of drug education prevention programs have been successful or unsuccessful in this setting. In an effort to address this issue at Oregon State University a two-credit ten-week DEPP was implemented as a requirement for all collegiate athletes. This article describes the evaluation of this program. Altogether 635 student athletes from three National Collegiate Athletic Association (NCAA) Division One universities provided data in this two-year evaluation project. Participants were student athletes from Oregon State University (OSU), a Mid-Western University (MWU), and another Pacific North-Western University (PNWU). Pre- and post-test data were collected regarding knowledge about drugs, attitudes toward drug use, drug use, and decision-making factors. Students at OSU and MWU were enrolled in a structured DEPP, and the third group from PNWU was used as a control and did not receive regular instruction. The baseline data taken before the drug education course indicated that athletes at OSU, MWU, and PNWU were no different in their knowledge of drugs, attitudes toward drugs, or perception of the value of drug education in preventing drug abuse among student athletes. However, the data at the end of the ten-week course revealed many significant improvements among OSU and MWU students athletes, in knowledge, attitude related to performance enhancing drugs and recreational drugs, and perceptions of drug education. At the end of the course 88 percent of the participating OSU athletes agreed that drug education can be effective in preventing drug abuse among student athletes.
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Olsen, J. L., and C. D. Boyer. "420 Integrating Extension Field Faculty Into Academic Homes: The Oregon State University Experience." HortScience 34, no. 3 (1999): 516D—516. http://dx.doi.org/10.21273/hortsci.34.3.516d.

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In 1993, then OSU President John Byrne declared that: “All Extension Service faculty, county agents as well as specialists, will be assigned academic colleges, and will have an academic appointment in the appropriate college.” The selection of the academic home would involve a mutual agreement between the individual and the department and would take into consideration the faculty member's academic training, experience, and work assignment. The implementation of this decision was completed by July 1995. In the College of Agricultural Sciences, this assignment of faculty to academic homes was accommodated by adding county agents to the faculty of existing departments. The Dept. of Horticulture faculty numbers nearly doubled, with an increase from 34 to 58. The department head is now very involved in the annual review and salary administration of extension field faculty. Campus-based faculty are now involved in all of the hiring, promotion, and tenure decisions for extension field faculty and vice versa. Field faculty participate in departmental decision making. The change in the number and diversity of faculty in the department is a unique effort to unify programmatic focus for extension, research, and teaching at OSU. As a work in progress, many issues are being addressed including full faculty participation in the decision-making process, communication, evaluation of scholarship, and building departmental community. Successes, pitfalls, and challenges ahead will be discussed and illustrated.
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Castagnoli, Steven P. "Internet-based Decision Tools for Orchard Pest Management—Adoption in the Hood River Valley of Oregon." HortTechnology 16, no. 1 (2006): 133–38. http://dx.doi.org/10.21273/horttech.16.1.0133.

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The Internet has expanded access to real-time decision tools for pest management in agriculture. Starting in 2000, site-specific weather data and decision tools for key insect pests and diseases became available through the Internet to fruit growers and pest control advisors (PCAs) in the Hood River Valley of Oregon. Adoption of these decision tools was supported by educational programs conducted by extension. In this study, surveys were conducted to assess the importance of different sources of pest management information and the adoption of four Internet-based pest management decision tools by fruit growers and PCAs in the Hood River Valley. Growers relied on diverse sources for pest management information and ranked PCAs as the most important source for making pest management decisions. Grower use of the Internet-based pest management decision tools was relatively low despite computer ownership and Internet use that were higher than national trends. Growers preferred the website that provided the most complete access to up-to-date weather data and pertinent pest and disease models, despite somewhat less streamlined access. PCA use of the decision tools was proportionately higher, and included greater use of additional websites. Both growers and PCAs considered use of the Internet tools to have important benefits on pest management programs. In the Hood River Valley, fruit growers had access to technology-driven decision support tools, but continued to rely on more traditional information sources, particularly PCAs, for making pest management decisions. In view of trends in shrinking extension resources, these results suggest that the most efficient use of time and potential for greatest impact can be derived from focusing educational efforts on PCAs.
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DeWeber, J. Tyrell, and James T. Peterson. "Comparing Environmental Flow Implementation Options with Structured Decision Making: Case Study from the Willamette River, Oregon." JAWRA Journal of the American Water Resources Association 56, no. 4 (2020): 599–614. http://dx.doi.org/10.1111/1752-1688.12845.

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Kuonen, Jessica, Flaxen Conway, and Ted Strub. "Relating Ocean Condition Forecasts to the Process of End-User Decision Making: A Case Study of the Oregon Commercial Fishing Community." Marine Technology Society Journal 53, no. 1 (2019): 53–66. http://dx.doi.org/10.4031/mtsj.53.1.1.

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AbstractThis case study is in response to a recognized need to transform short-term regional ocean condition forecast information into useful data products for a range of end users, considering their perceptions of uncertainty and risk associated with these forecasts. It demonstrates the value of user engagement in achieving long-term goals for data providers. Commercial fishermen from Oregon are selected as key information users due to the physically risky and economically uncertain nature of their profession, their expertise at navigating the marine environment, and their important economic and cultural role at the Oregon coast. Semistructured interviews (n = 16) are used to clarify the processes that govern decision making, in terms of risk perception and comfort with uncertainty. The results characterize a community “mental model” in regard to ocean use and ocean forecasts. Findings reveal that commercial fishermen consume and interpret forecast data in a nonlinear fashion by combining multiple sources and data types and with a heavy reliance on real-time data. Our assessment is that improving accuracy at temporal and spatial scales that are relevant to decision making, improving the accessibility of forecasts, and increasing forecast lead time could potentially add more value to forecasts than quantifying and communicating the types of uncertainty metrics used within the scientific community.
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Kuonen, Jessica, Flaxen Conway, and Ted Strub. "Navigating Mental Models of Risk and Uncertainty within the Ocean Forecast System: An Oregon Case Study." Weather, Climate, and Society 11, no. 2 (2019): 431–47. http://dx.doi.org/10.1175/wcas-d-18-0057.1.

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Abstract This case study explores how to add value to regional ocean condition forecast information by bringing awareness to the processes that govern decision-making and outcomes within the system. A modified mental models research approach is applied to examine differences and similarities in perceptions of risk and comfort with uncertainty between two interdependent communities, the ocean “data provider” and “end user,” and how these perceptions impact accessibility and usefulness of data products. In this study, data providers are academic and agency scientists from institutions that provide ocean condition forecasts to public end users (n = 17). End users are members of the Oregon commercial-fishing community (n = 16). Comparisons reveal key differences and similarities related to the nature of each profession that impact perceptions of scale in time and space and reveal the ways that cumulative and intersecting risks and uncertainties act as key drivers in decision-making. Implications for expanding the current understanding of how ocean forecasts are produced and used include 1) highlighting the value of optimizing ocean forecast delivery tools based on end-user needs and information-seeking processes already in place, 2) identifying structural and cultural barriers within the data-provider network that prevent them from doing so, and 3) demonstrating the value of learning about both producers and users of scientific information and suggesting potential ways to structure cooperation and strengthen relationships between them by working toward a common desired outcome.
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Dissertations / Theses on the topic "Cheesemaking – Oregon – Decision making"

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Zickefoose, Darlene. "Perceptions of Psycho-social Factors that Affect Retirement Decision-making." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/1362.

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The purpose of the study was to examine retirement decision making of certificated employees (N = 284 respondents N = 241) of the Beaverton School District in a near retirement age category. The Beaverton School District is a large suburban school district near Portland, Oregon. It currently serves over 25,000 students and employs approximately 2,600 certificated and classified employees. The study answered the following questions: Can psycho-social factors be identified that will enable the Beaverton School District to help potential retirees make an informed decision to retire? What personal factors affect a person's decision to retire? Does it matter, in the ranking of variables, if a person is either vested or not vested in his or her retirement fund? What demographic factors (gender, age grouping, education, position and marital status) affect a person's decision to retire? Discriminate analysis enabled this researcher to conclude that finance and job satisfaction were significant factors in predicting retirement decision making. Other factors listed (health, activity time, support system, degree of control, personal identity as it relates to the job, and availability of medical benefits) were significant but did not add appreciably to predictive capability. Personal factors effecting a person's decision to retire were obtained through self- reports and were grouped into two categories: Directly stated informational requests, and Implied informational needs. Responses were grouped according to their common themes and each fit well within the parameters of the previously identified psycho-social variables. Directly stated informational requests related to concerns about finances and the availability of medical benefits. Implied needs were primarily related to the need for relief from job stress, pressure, and burnout. Concerns were also expressed regarding a perceived lack of administrative competence and/or support and a lack of personal control relative to the job. Respondents were asked if they would be vested at the point of retirement. This question was asked to assess if being either vested or not vested would make a difference to one's decision to retire. Though the findings were significant, the sample size for individuals who would not be vested was too small (1%) to constitute a valid sample. Gender, the first demographic variable examined, was found to be significant. Males reported less job satisfaction than their female counterparts. Job satisfaction was the most significant psycho-social variable affecting retirement decision making. Other demographic variables (age, marital status, education, and position) were not found to be significant predictors of retirement decision making. This study was clearly exploratory. Therefore, recommendations for further research include replicating this study in other school districts. Additional variables might be identified that impact one's decision to retire. There was clear indication for the need for further study in the area of job satisfaction. In addition, a longitudinal study would enable a researcher to determine the congruence between pre-retirement perceptions and post retirement "reality."
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Alshareef, Ahmed Shehab. "Technology Assessment Model of Developing Geothermal Energy Resources for Supporting Electrical System: the Case for Oregon." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/3515.

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The demand for energy is increasing worldwide. All applications contributed to increase the demand of all energy industry, and therefore the effect on the environment and the rise in pollution increased significantly. This is considered a large problem, and researchers focused their research on renewable energy for reducing the cost of energy in the future. Geothermal energy has significant impact as a source of electricity generation since it will not harm the environment. There are more than twenty countries that benefit from geothermal plants, which generate more than 6000 megawatts .Three alternatives of geothermal energy technology (GHP, Direct use of Geothermal Heat, and Geothermal Electricity) can be used for supporting electrical systems in Oregon. At the same time, the success of using the geothermal energy alternatives in Oregon relies on different goals for achieving the best geothermal development. Oregon has been ranked third in the potential use of geothermal energy after Nevada and California. The objective from the research study was to develop an assessment model framework that can be used for supporting cost effective renewable energy in Oregon by the development of geothermal energy sources. This research of study was done by using the Hierarchical Decision Model (HDM) and consisted of four levels: Mission, objectives, goals, and alternative. Criteria used in this research study are based on five objectives to know what are the most important factors in the decision-making process. These objectives are: social, environmental, economical, technical, and political. The decision model connected objectives, goals, and alternative for obtaining the accurate decision. HDM used for this purpose to analyze the result of data collected from experts. Seven experts who had experience in the geothermal field participated in this research study, and they gave their judgment in the questionnaire survey link by using pair-wise comparison method. The outcome analysis of the results showed that in terms of objectives that Minimizing Environmental Impact was rated at the highest value at 0.26 with respect to the mission. Within the category of Minimizing Environmental Impact, Seismic Activity and GHG Emissions had higher values. The results show that "Geothermal Electricity," with a rating of 43%, was ranked as the most important alternative with respect to mission, objectives, and goals. "Direct Use of Geothermal Heat" was ranked as the second most important alternative with 31%. The results of this research study were discussed with the experts to get their feedback, and learn from them what requirements are necessary for improvement in the geotechnical energy sector for future research. The experts agreed that this methodology is a good approach to help reach the right decision since this methodology (HDM) divides the problem into small sets, which will make the decision process easier.
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Broach, Joseph. "Travel Mode Choice Framework Incorporating Realistic Bike and Walk Routes." PDXScholar, 2016. https://pdxscholar.library.pdx.edu/open_access_etds/2702.

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For a number of reasons--congestion, public health, greenhouse gas emissions, energy use, demographic shifts, and community livability to name a few--the importance of walking and bicycling as transportation options will only continue to increase. Currently, policy interest and infrastructure funding for nonmotorized modes far outstrip our ability to model bike and walk travel. To ensure scarce resources are used most effectively, accurate models sensitive to key policy variables are needed to support long-range planning and project evaluation, and to continue adding to our growing understanding of key factors driving walk and bike behavior. This research attempts to synthesize and advance the state of the art in trip-based, nonmotorized mode choice modeling. Over the past fifteen years, efforts to model the decision to walk or bike on a given trip have been hampered by the lack of a comprehensive behavioral framework and inconsistency in measurement scales and model specification. This project develops a mode choice behavioral framework that acknowledges the importance of attributes along the specific walk and bike routes that travelers are likely to consider, in addition to more traditional area-based measures of travel environments. The proposed framework is applied to a revealed preference, GPS-based travel dataset collected from 2010-2013 in Portland, Oregon. Measurement of nonmotorized trip distance, built environment, tour-level variables, and attitudinal attributes as well as mode availability are explicitly addressed. Route and mode choice models are specified using discrete choice techniques, and predicted walking and bicycling routes are tested as inputs to various mode choice models. Results suggest strong potential for predicted route measures to enhance walk and bicycle mode choice modeling. Findings also support the specific notion that bicycle and pedestrian infrastructure contribute not only to route choice but also to the choice of whether to bike or walk. For decisions to bicycle, availability of low-traffic routes may be particularly important to women. Model results further indicate that land use and built environments around trip ends and a person’s home still have important effects on nonmotorized travel when controlling for route quality. Both route and area travel environment impacts are mostly robust to the inclusion of residential self-selection variables, consistent with the idea that built environment differences matter even for households that choose to live in a walkable or bikeable neighborhood. The combination of area and route-based built environment measures alongside trip context, sociodemographic, and attitudinal attributes provides a new perspective on nonmotorized travel behavior relevant to both policy and practice.
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Warren, Douglas J. "A Critical Study of Communications in Land Use Hearings." PDXScholar, 1988. https://pdxscholar.library.pdx.edu/open_access_etds/1349.

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This study addresses a major theoretical issue posed in the literature: can alienation in modern urban society be conceptualized in terms of the communicative competence of speakers taking part in social interaction. Specifically, this study explores the relationship between communicative competence and two observable indications of success in land use hearings: 1) ability to influence the final decision of the Variance Committee and 2) expression of feelings of dissatisfaction with the hearings process, as expressed by the participants. On a broader scale, the study tests Jurgen Habermas's classification of speech acts and the notion that public hearings are a free and open process for integrating public opinion into land use decisions. Twenty-five hearings before the Variance Committee of the City of Portland were observed in order to record the types of speech acts used by four different groups in the hearings - the protestors, the applicants, the planning staff and the committee members. Following the hearings the applicant and a protestor were interviewed to ask information about their perceptions of the hearings process. In addition, all the Variance Committee members (15) and twenty-five professional planning staff were interviewed. Altogether 98 interviews were conducted. Analysis of Variance demonstrates that there is a significant difference in the use of the four types of speech acts by the four groups. Tabular analysis shows that the applicants are more comfortable with the hearings process than the protestors. However, both groups are relatively well satisfied with the hearings process, even after controlling for the final decision. Multiple linear regression demonstrates that the decision of the hearing is strongly associated with the speech acts received by the applicants and protestors. Furthermore, a large portion of those acts and their direction can be attributed to the committee Chairman. Based on these two findings (direction of the committee's attention and the Chairman's influence), a case analysis of 14 (out of twenty-five) crucial cases were examined to determine the interactive process used in reaching the final decision. Crucial case analysis revealed that the committee follows an identical ritual review process, led by the Chairman, in all those cases where the final decision corresponds to the staff recommendation. In those cases where the staff recommendation is reversed, the ritual review process is interrupted by one of three types of unexpected errors, committed by the testifiers, which shift the communicative attention of the committee to the opposing testifiers. These findings suggest the hearing process does not provide free and open access to opportunities to influence the decision in Variance hearings. Although some feelings of placation occur on the part of applicants and protestors, the final decisions are heavily predisposed by the professional staff recommendation. This predisposition is not overcome by compelling rational discourse, but only if a "fatal error" is committee by one group of testifiers.
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Antoine, Patricia Luann. "Battle for the boulevard." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4248.

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This study explored the nature of community power and decision-making surrounding the renaming of Portland's Union Avenue in honor of the slain civil rights leader, Martin Luther King, Jr. Employing an integrated theoretical framework based on G. William Domhoff's (1967) perspective of the compatibility of c. Wright Mills' Power Elite Model (1956) and Robert A. Dahl's Pluralist Model (1961) plus Claude s. Fischer's (1982) perspective on the nature of the urban social environment, this study attempted to provide insight into and understanding of the dynamics involved in the controversy that developed over the efforts to rename a street for Dr. King, the decision-making process, and the apparent motivations of the participants.
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Bouma, Andrea. "A business feasibility tool for artisan cheese operation start-up." Thesis, 2012. http://hdl.handle.net/1957/26832.

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The objective of this study was to develop a decision making tool to determine economic feasibility of artisan cheese operations. A survey of current Oregon artisan cheese companies was used to gain knowledge of the fixed and variable costs associated with cheese production and business start-up. The data from this survey was used to design a business model within Microsoft Excel 2010 that effectively describes the business environment in which an artisan cheese company could exist. Economic feasibility was determined through net present value (NPV) and Internal Rate of Return (IRR) of the investment. The model estimates size of the production and aging facilities based on production volume and cheese types produced. The application of the tool is demonstrated in this study through testing of several scenarios within each area of investigation: impact of milk pricing, cheese styles, product retail price, and geographical location of the creamery. The model also predicts the minimum product retail pricing necessary to ensure a positive NPV of the potential venture at several sizes of production and across several different styles of cheeses.<br>Graduation date: 2012
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Cumming, Gordon D. "Understanding the decision-making capacity of Oregon coastal watershed councils /." 2003. http://hdl.handle.net/1957/6884.

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DeLoach, Robin. "Factors that affect a school district's ability to successfully implement the use of data warehouse applications in the data driven decision making process." Thesis, 2012. http://hdl.handle.net/1957/33378.

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The purpose of this study was to explore the factors that influence the ability of teachers and administrators to use data obtained from a data warehouse to inform instruction. The mixed methods study was guided by the following questions: 1) What data warehouse application features affect the ability of an educator to effectively use the application for data driven decision making? 2) What sorts of training or professional development and workplace norms are needed to help educators use data warehouse applications more effectively? 3) How do differences in leadership affect an organization's use of data warehouse applications? 4) What, if any, impact has the use of data warehouse applications had on instructional strategies and student performance? Forty-five teachers and administrators completed the survey. A focus group of four administrators and interviews with four teachers provided qualitative data. Descriptive statistics were used to analyze the quantitative data. The qualitative data was coded in several cycles to determine common themes. The results from the qualitative and quantitative data were then compared to determine areas of similarities and differences. The factors that influenced an educator's ability to use a data warehouse application to inform instruction included ease of use of the application, access to student data in a timely manner, and the ability to view data on individual students and small groups of students. The type of data most useful to the participants was summative and formative assessment data. Training and workplace norms influenced the use of the application. The more training received, the easier the educators found the application was to use. Dedicated time to review data and the opportunity to collaborate with colleagues also enhanced the ability of educators to use the application to inform instruction. Educators who thought the use of the application was important to building and district level administrators tended to use the application more frequently. Based on the educator's perceptions, the use of the data warehouse application appeared to have some impact on influencing changes in instructional strategies. Any changes in student performance were attributed to the changes in instructional strategies. Two unexpected findings emerged from this study. The ability to use technology affected an educator���s use of the data warehouse application. A greater comfort level with the use of technology in general was attributed to greater use of the application. Finally, educators needed to have sufficient skills in the use of data in the data driven decision making process to successfully implement the use of the data warehouse application.<br>Graduation date: 2013
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Pickard, Brian R. "Keying forest stream protection to aquatic ecosystem values in multi-ownership watersheds." Thesis, 2013. http://hdl.handle.net/1957/37902.

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Forested lands of western Oregon provide aquatic habitat for many fish and riparian dependent species, including a wide variety of salmon species. Current policies set riparian protections using fixed buffers on streams for federal and private lands based on stream type or size. These buffers can create a series of disjointed riparian protections, as federal lands require buffers that are much larger than private lands. In addition, the fixed buffer approach is neither flexible nor tailored to aquatic ecosystem values. This thesis presents a framework for comprehensively assessing stream networks using site specific watershed features and then suggests riparian conservation strategies that key stream and riparian protection to aquatic ecosystem values. Seven study watersheds were used in this analysis, totaling over 2.5 million acres of forested lands in western Oregon. Employing a set of geospatial tools, called NetMap, streams in each watershed were classified into higher and lower priorities using criteria of intrinsic potential, erosion/debris flow susceptibility, and thermal loading potential. Results demonstrated the inherent variability within and among watersheds based on the geomorphic and ecological processes determined important for selected salmon species. Within each watershed, both federal and non-federal lands had many miles of higher priority fish-bearing and non-fish bearing streams, suggesting the need for comprehensive, holistic watershed conservation strategies. Based on the partitioning of streams into higher and lower priorities, an alternative riparian conservation strategy was then modeled for federal lands that allocate protection on the basis of the ecological context of a stream segment’s potential and particular location while still meeting federal aquatic conservation goals and objectives. Possible increases to the land base for long-term timber production were then identified if this strategy were applied to federal Matrix lands. Results demonstrated that 8-30 percent of the current riparian buffers could be reallocated to the land base for long-term timber production. An additional 26-45 percent of current buffers could be managed simultaneously for both timber production and aquatic ecosystem goals. Results also provided a framework for targeting of conservation and restoration efforts towards higher priority streams within each watershed. As many of the most ecologically important streams were located on non-federal lands, riparian conservation policies focused on streams classified as higher priority on those lands may be needed to protect aquatic species and their environments.<br>Graduation date: 2013
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Doyle, Douglas J. 1963. "Determinants of off-farm labor supply among farm households in the north Willamette Valley." Thesis, 1987. http://hdl.handle.net/1957/26852.

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Financial stress in agriculture has been a concern over the past century. Agrarian values and "love of the land" seem to yield public conclusions for the support of the industry. Much of this support is in the interest of preserving a viable food producing sector in an volatile world climate. High interest rates, declining land values and highly competitive export markets have spurred renewed concern for farm survival in the past ten years. One alternative to traditional price supports and tariffs for farm household support is off-farm income. This may take many forms including off-farm wages and salaries, rental income, interest and dividend income and, retirement or pension funds. Central to the analysis of nonfarm income generation is the allocation of time by farm households. For farmers who place a high value on the farm lifestyle, occupational choice is embedded in the time decision to such an extent that the resource allocations based on economic efficiency criteria may be altered. Tobit techniques offer a new approach to the analysis of farm household decisions on time allocation. The procedure allows the investigator to estimate and evaluate parameters that may affect the amount of off-farm work by farm household members. The Tobit analysis is designed for censored data sets. The data in this study were censored because there were missing observations on the quantity of off-farm work for those individuals who did not work off-farm in 1986. Results of Tobit analyses of off-farm work by farm operators and spouses in three Oregon counties indicated that high levels of gross farm income reduce the likelihood and extent of off-farm work. Middle-aged operators worked off-farm more while the presence of small children and elderly dependents in the farm household inhibited off-farm work. The allocation decisions of the spouse and the operator appeared to be independent; this supports a nonsimultaneous Tobit specification like the one used in this research.<br>Graduation date: 1988
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Books on the topic "Cheesemaking – Oregon – Decision making"

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Borberg, Jenna. An analysis of a survey of Oregon coast decision makers regarding climate change. Oregon Sea Grant, Oregon State University, 2009.

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The Oregon Coast Trail: Hiking inn to inn. J.D. Remington, 2005.

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Arizona, The University of, and Portland Metro. Value of Travel Time Reliability in Transportation Decision Making: Proof of Conceptâ€"Portland, Oregon, Metro. Transportation Research Board, 2014. http://dx.doi.org/10.17226/22313.

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Haber, Susan G. Covering the uninsured through Medicaid: Lessons from the Oregon Health Plan. Health Economics Research, Inc., 2001.

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Haber, Susan G. Paying managed care plans in a capitated Medicaid program: Lessons from the Oregon Health Plan. Health Economics Research, Inc., 2001.

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Tarnow, Karen. Collaborative approaches to decision making and conflict resolution for natural resource and land use issues: A handbook for land use planners, resource managers, and resource management councils. Oregon Dept. of Land Conservation and Development, 1996.

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Portland State University Salmon Symposium (2000 Portland, Or.). What we don't know about Pacific Northwest fish runs: An inquiry into decision-making under uncertainty : proceedings of the Portland State University Salmon Symposium, Portland, Oregon, July 7-8, 2000. The University, 2000.

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Portland, State University Salmon Symposium (July 7.-8. 2000 Portland Or ). What we don't know about Pacific Northwest fish runs: An inquiry into decision-making under uncertainty : proceedings of the Portland State University Salmon Symposium, Portland, Oregon, July 7-8, 2000. The University, 2000.

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Public involvement for transportation decision-making. U.S. Dept. of Transportation, Federal Highway Administration, 1997.

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Segmenting Oregon resident vacation behavior by repeat visitation patterns. 1988.

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Book chapters on the topic "Cheesemaking – Oregon – Decision making"

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Wainwright, Thomas C., Peter W. Lawson, Gordon H. Reeves, Laurie A. Weitkamp, Heather A. Stout, and Justin S. Mills. "Measuring Biological Sustainability via a Decision Support System: Experiences with Oregon Coast Coho Salmon." In Making Transparent Environmental Management Decisions. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-32000-2_12.

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Keys, Ted, and Anna Rockhill. "Family Group Decision-Making in Oregon." In Family Group Conferencing. Routledge, 2017. http://dx.doi.org/10.4324/9780203792186-31.

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Hambleton, Robin. "Directly elected mayors: a route to progressive urban leadership?" In Directly Elected Mayors in Urban Governance. Policy Press, 2017. http://dx.doi.org/10.1332/policypress/9781447327011.003.0014.

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Directly elected mayors are on the rise internationally. Enthusiasts for this form of local political leadership claim that it can provide visible, strategic, accountable leadership for cities. Opponents argue that the model concentrates too much power in the hands of one individual, and that it can result in local government decision-making being skewed to serve powerful economic interests. This chapter offers a contribution to this debate. An opening section outlines a way of conceptualising the political space available to place-based leaders. It is then suggested that, in any given locality, there are likely to be different realms of leadership, with players from inside and outside the state making a significant contribution to urban policy making. Three examples of bold and progressive mayoral leadership are then presented in the form of three short cameos: Greater London, UK (in the period 2000-08), Portland, Oregon, USA; and Freiburg, Germany. The comparative discussion of mayoral leadership that follows is structured around three themes: the role of directly elected mayors in expanding place-based power; connecting the realms of place-based leadership and bringing progressive values back into city politics.
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Sabin, James E., and Norman Daniels. "Allocation of mental health resources." In Psychiatric Ethics, edited by Sidney Bloch and Stephen A. Green. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198839262.003.0008.

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Resource allocation in mental health occurs at four levels. First, within the total allocation a society makes to health care, how much should go to mental health? In most societies, mental health services have been discriminated against. The quest for parity with medical and surgical services reflects the effort to undo this discrimination. In the Oregon priority-setting process, mental health conditions ranked high among community choices. Second, within the mental health sector, which conditions should receive priority? Some priority should be given to those with the most severe impairments, but no principles tell us just how much priority the sickest should receive. Third, within a particular area, such as schizophrenia, how much resource should be devoted to prevention, treatment of acute episodes, or rehabilitation of those with chronic conditions? Finally, in the care of individual patients, how much treatment is ‘enough’? Where and how is the line drawn between interventions regarded as ‘medically necessary’ versus interventions that are desirable but ‘optional’? In the absence of shared principles for making these allocational decisions, societies must establish fair decision-making processes, in which the rationales for policies and decisions are shared with the public, the rationales address meeting population needs in the context of available resources, and a robust appeals process allows patients, families, and clinicians to challenge decisions and policies. Because societies will develop their own distinctive approaches to resource allocation, progress requires looking at the allocation process in an international context.
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Conference papers on the topic "Cheesemaking – Oregon – Decision making"

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DuPont, Bryony, Ridwan Azam, Scott Proper, et al. "Decision Making for the Collaborative Energy Supply System of Oregon and Washington." In ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/power2015-49509.

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As demand for electricity in the United States continues to increase, it is necessary to explore the means through which the modern power supply system can accommodate both increasing affluence (which is accompanied by increased per-capita consumption) and the continually growing global population. Though there has been a great deal of research into the theoretical optimization of large-scale power systems, research into the use of an existing power system as a foundation for this growth has yet to be fully explored. Current successful and robust power generation systems that have significant renewable energy penetration — despite not having been optimized a priori — can be used to inform the advancement of modern power systems to accommodate the increasing demand for electricity. Leveraging ongoing research projects at Oregon State University and the National Energy Technology Laboratory, this work explores how an accurate and state-of-the-art computational model of the Oregon/Washington (OR/WA) energy system can be employed as part of an overarching power systems optimization scheme that looks to inform the decision making process for next generation power supply systems. Research scenarios that explore an introductory multi-objective power flow analysis for the OR/WA grid will be shown, along with a discussion of future research directions.
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Akilah Martin, Rabi Mohtar, Bernie Engel, Brian French, and Gilbert Rochon. "Assessment of the Century Model Web Interface in Undergraduate Education to Improve Decision-making and Learning." In 2006 Portland, Oregon, July 9-12, 2006. American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.21053.

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Qiu, Yuming, Ping Ge, and Joseph F. Junker. "Varying Weights in Multi-Attribute Decision Making." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49350.

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Extreme cases that contain either extremely high or pretty low preference attribute(s) are investigated for multi-attribute decision making problems. Normal cases occur most of the time, and many existing methods have been developed to support the decision making in such scenarios. Extreme cases are possible in real applications, and they are usually present intriguing scenarios because of the potential fuzzy and varying decision criteria. To capture this phenomenon, varying weights are introduced to simulate the change pattern concerning relative importance of attributes, and a uniform framework has been developed to support the decision making mathematically for extreme cases. A real application from Industrial Assessment Center at Oregon State University is used to demonstrate the proposed method, and the result shows its capability of capturing a decision maker’s flexible decision altitudes, and indicates its advantage over existing constant weight methods.
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Biswas, Arpan, Yong Chen, and Christopher Hoyle. "An Approach to Flexible-Robust Optimization of Large-Scale Systems." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67221.

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Though Robust Optimization has proven useful in solving many design problems with uncertainties, it is not suitable for certain problems which have sequential options in the decision making process. In this work, an integration of a Real Option model with the Robust Optimization technique is presented. This approach aims to eliminate the shortcomings of robust optimization for sequential decision making problems. We provide an example of applying this new integrated model to the operational control of a single reservoir of the Oregon-Washington Columbia River system by optimizing the flexibility of the system. Flexibility for an engineering system is the ease with which the system can respond to uncertainty in a manner to sustain or increase its value delivery through decision-making. In this paper, we define flexibility as the amount of water left in the storage reservoir to produce electricity after meeting demand. Real Option analysis is an economic tool which helps to value the multiple courses of actions in a decision: that is to either sell the flexibility or hold it for future use based upon the future value of flexibility. Selling flexibility causes one to lose some future value because one may be forced to repurchase that flexibility from the market at higher prices later due to shortages; Real Options analysis values future purchases to support decision-making. Robust optimization focuses on for selling the flexibility in a daily market and gives an optimal result by maximizing net revenue, considering all the physical and operational constraints of the reservoir to avoid floods or other environmental calamities. Net revenue is defined as cost of selling and cost of future purchase of the flexibility. We provide an optimization result of 27 random inflow scenarios which gives high, medium and low flexibility to allocate using the integrated model. We compare the optimal solutions given by the integrated model with that given by robust optimization. The integrated real option-robust optimization model improves the revenue from allocating flexibility as much as 40 percent over the robust optimization result.
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Reports on the topic "Cheesemaking – Oregon – Decision making"

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Swanson, James. Components integral to the consumer's decision-making process regarding the regional shopping centers of Portland, Oregon. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2971.

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