4 resultados para Millennium Generation

em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States


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We review some of the most significant issues and results on the economic effects of genetically modified (GM) product innovation, with emphasis on the question of GM labeling and the need for costly segregation and identity preservation activities. The analysis is organized around an explicit model that can accommodate the features of both first-generation and second-generation GM products. The model accounts for the proprietary nature of GM innovations and for the critical role of consumer preferences vis-à-vis GM products, as well as for the impacts of segregation and identity preservation and the effects of a mandatory GM labeling regulation. We also investigate briefly a novel question in this setting, the choice of “research direction”when both cost-reducing and quality-enhancing GM innovations are feasible.

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In the past century, public health has been credited with adding 25 years to life expectancy by contributing to the decline in illness and injury. Progress has been made, for example, in smoking reduction, infectious disease, and motor vehicle and workplace injuries. Besides its focus on traditional concerns such as clean water and safe food, public health is adapting to meet emerging health problems. Particular troublesome are health threats to youth: teenage pregnancies, violence, substance abuse, sexually transmitted diseases, and other conditions associated with high-risk behaviors. These threats add to burgeoning health care costs. A conservative estimate of $69 billion in medical spending could be averted through the impact of public health strategies aimed at heart disease, stroke, fatal and nonfatal occupational injuries, motor vehicle-related injuries, low birth weight, and violence. These strategies require the collaboration of many groups in the public and private sectors. Collaboration is the bedrock of public health and Healthy Iowans planning. At the core of Healthy Iowans 2000 and its successor, Healthy Iowans 2010, is the idea that all Iowans benefit when stakeholders decide on disease prevention and health promotion strategies and agree to work together on them. These strategies can improve the quality of life and hold down health care costs. The payoff for health promotion and disease prevention is not immediate, but it has long-lasting benefits. The Iowa plan is a companion to the national plan, Healthy People 2010. An initiative to improve the health of Americans, the national plan is the driving force for federal resource allocation for disease prevention and health promotion. The state plan is used in the same way. Both plans have received broad support from Republican and Democratic administrations. Community planners are using the state plan to help assess health needs and craft health improvement plans. Healthy Iowans 2010 was written at an unusual point in history – a new decade, a new century, a new millennium. The introduction was optimistic. “The 21st century,” it says, “promises to add life as well as years through improved health habits coupled with medical advances. Scientists have suggested that if these changes occur, the definition of adulthood will also change. An extraordinary number of people will live fuller, more active lives beyond that expected in the late 20th century.” At the same time, the country has spawned a new generation of health hazards. According to Dr. William Dietz of the Centers for Disease Control and Prevention (CDC), it has replaced “the diseases of deficiency with diseases of excess” (Newsweek, August 2, 1999). New threats, such as childhood overweight, can reverse progress made in the last century. This demands concerted action.

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This paper describes a maximum likelihood method using historical weather data to estimate a parametric model of daily precipitation and maximum and minimum air temperatures. Parameter estimates are reported for Brookings, SD, and Boone, IA, to illustrate the procedure. The use of this parametric model to generate stochastic time series of daily weather is then summarized. A soil temperature model is described that determines daily average, maximum, and minimum soil temperatures based on air temperatures and precipitation, following a lagged process due to soil heat storage and other factors.

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The objective was to evaluate the usefulness, accuracy, precision, and reproducibility of the second generation CMD for PC concrete under production conditions.