798 resultados para FOOD-INDUSTRY


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A review of Food Politics: How the Food Industry Influences Nutrition, and Health, Revised and Expanded Edition.

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Background. The Food and Drug Administration (FDA) is an agency of the federal government that is responsible for monitoring and maintaining public health through the regulation of many industries, including food safety. Through the Nutrition Labeling and Education Act of 1990, the FDA was granted authority over the implementation and regulation of nutrition labeling on packaged foods. Many nutrients are printed on nutrition labels as well as their percent Daily Values. Research has been undertaken to examine the evidentiary basis the FDA relied upon in making its determinations regarding which nutrients to include on nutrition labels as well as their Daily Values. ^ Methods. Relevant legal policies, scientific studies, and other published literature (either in print or electronic form) were used to collect data. ^ Results. Results demonstrated that the FDA did not employ one single method in its determination of which nutrients to select for inclusion on food labels. The agency relied upon current public heath studies of that time as well as recommendations from the U.S. Surgeon General.^

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The difficulty behind Wireless Sensor Network deployments in industrial environments not only resides in the number of nodes or the communication protocols but also in the real location of the sensor nodes and the parameters to be monitored. Sensor soiling, high humidity and unreachable locations, among others, make real deployments a very difficult task to plan. Even though it is possible to find myriad approaches for floor planners and deployment tools in the state of the art, most of these problems are very difficult to model and foresee before actually deploying the network in the final scenario. This work shows two real deployments in food factories and how their problems are found and overcome.

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The objective of this paper is to estimate technical efficiency in retailing; and the influence of inventory investment, wage levels, and firm age on this efficiency. We use the output supermarket chains’ sales volume, calculated isolating the retailer price effect on its sales revenue. This output allows us to estimate a strictly technical concept of efficiency. The methodology is based on the estimation of a stochastic parametric function. The empirical analyses applied to panel data on a sample of 42 supermarket chains between 2000 and 2002 show that inventory investment and wage level have an impact on technical efficiency. In comparison, the effect of these factors on efficiency calculated through a monetary output (sales revenue) shows some differences that could be due to aspects related to product prices.