189 resultados para Revolution of May


Relevância:

40.00% 40.00%

Publicador:

Resumo:

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Report on a Special Investigation of the Central Point Coordination for Calhoun and Pocahontas Counties.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Other Audit Reports - Special Investigation

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Iowa Workforce Development research conducted in 2001 on Iowa workers displaced by layoffs indicated that post-layoff wages remained at or above pre-layoff levels. During the layoff quarters selected for analysis – first, second, and third quarters of 1998 – there were twenty-one layoff events, none of which were closures. The research at that time did not discriminate between closures or permanent layoffs for which no recall was expected and those layoff events expected to recall workers. The post/pre ratios1 of the affected workers in manufacturing were at or above 100%, while remaining slightly below the universe pre/post ratios for the same time period.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

With the rapid growth in China’s dairy industry, a number of recent papers have addressed either the supply or the demand trends for dairy products in China. None, however, presents a systematic explanation for the recent growth in both the supply and demand for dairy products. The goal of this paper is to sketch a more comprehensive picture of China’s dairy sector and to assess the nature of the sector’s development in the coming decades. Drawing upon several empirical studies, we examine the trends in dairy product consumption to create a composite picture of the factors underlying the recent growth. We also empirically investigate the sources of production gains in milk supply and assess the relative importance of expanding herd size, changes in the nature of production, technological change, and improvements in efficiency to the overall growth of milk production.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Current monitoring techniques for determination of compaction of earthwork and asphalt generally involve destructive testing of the materials following placement. Advances in sensor technologies show significant promise for obtaining necessary information through nondestructive and remote techniques. To develop a better understanding of suitable and potential technologies, this study was undertaken to conduct a synthesis review of nondestructive testing technologies and perform preliminary evaluations of selected technologies to better understand their application to testing of geomaterials (soil fill, aggregate base, asphalt, etc.). This research resulted in a synthesis of potential technologies for compaction monitoring with a strong emphasis on moisture sensing. Techniques were reviewed and selectively evaluated for their potential to improve field quality control operations. Activities included an extensive review of commercially available moisture sensors, literature review, and evaluation of selected technologies. The technologies investigated in this study were dielectric, nuclear, near infrared spectroscopy, seismic, electromagnetic induction, and thermal. The primary disadvantage of all the methods is the small sample volume measured. In addition, all the methods possessed some sensitivity to non-moisture factors that affected the accuracy of the results. As the measurement volume increases, local variances are averaged out providing better accuracy. Most dielectric methods with the exception of ground penetrating radar have a very small measurement volume and are highly sensitive to variations in density, porosity, etc.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Winter maintenance, particularly snow removal and the stress of snow removal materials on public structures, is an enormous budgetary burden on municipalities and nongovernmental maintenance organizations in cold climates. Lately, geospatial technologies such as remote sensing, geographic information systems (GIS), and decision support tools are roviding a valuable tool for planning snow removal operations. A few researchers recently used geospatial technologies to develop winter maintenance tools. However, most of these winter maintenance tools, while having the potential to address some of these information needs, are not typically placed in the hands of planners and other interested stakeholders. Most tools are not constructed with a nontechnical user in mind and lack an easyto-use, easily understood interface. A major goal of this project was to implement a web-based Winter Maintenance Decision Support System (WMDSS) that enhances the capacity of stakeholders (city/county planners, resource managers, transportation personnel, citizens, and policy makers) to evaluate different procedures for managing snow removal assets optimally. This was accomplished by integrating geospatial analytical techniques (GIS and remote sensing), the existing snow removal asset management system, and webbased spatial decision support systems. The web-based system was implemented using the ESRI ArcIMS ActiveX Connector and related web technologies, such as Active Server Pages, JavaScript, HTML, and XML. The expert knowledge on snow removal procedures is gathered and integrated into the system in the form of encoded business rules using Visual Rule Studio. The system developed not only manages the resources but also provides expert advice to assist complex decision making, such as routing, optimal resource allocation, and monitoring live weather information. This system was developed in collaboration with Black Hawk County, IA, the city of Columbia, MO, and the Iowa Department of transportation. This product was also demonstrated for these agencies to improve the usability and applicability of the system.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

This manuscript reports on a project to examine the feasibility of extensive radio frequency identification (RFID) tagging to determine product provenance in the meat production industry. The investigators examined existing technologies and meat production processes as well as emerging technologies in RFID tagging to assess the potential of RFID technologies for provenance assurance. While RFID technologies hold tremendous promise for traceability, the current state of the technology and production process creates challenges for effectively creating full traceability. However, RFID holds tremendous potential for improving processing throughput, which will help make RFIDbased traceability more attractive for adoption by meat processors.