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companies view this data as sensitive, and since it is illegal to dispose of hazardous wastes at land lls, these types of wastes were not included as responses in most cases. Generally hazardous wastes compose a very low percentage of the total waste stream. Table 2.2 displays the EPA volume to mass conversion factors for common waste components. The conversion factors were obtained from EPA (www.epa.gov/epaoswer/ non-hw/recycle/recmeas/, retrieved July 10, 2007). The following densities in Table 14.1 were experimentally determined at the University of Toledo from 1998 through 2007. The densities are used during the data analysis phase of waste assessment to convert volumes.

ECML VOLUME TO WEIGHT CONVERSION FACTORS CONDITION (LEVEL OF COMPACTION) DENSITY CONVERSIONS FACTOR

RPC was an important step in the development of an integration pattern because it outlined (for the rst time) all the steps necessary for applications to share functionality. RPC can be used between any two applications to share functionality. The applications may be running on separate machines connected by a network. Many of the concepts and components introduced by RPC continue to be used in more modern methods of sharing functionality, as discussed in later chapters. Some of these concepts include the marshalling and unmarshalling of arguments, client and server stubs, and the encapsulation of all system and network calls within a library or a separate software component.

The main view of the app changes based on whether there are baseball games currently being played. When you first register the app, you pick your favorite team. The favorite team on the iPad in this example is set to the Red Sox. So, if they are playing, the view automatically goes to their game first. If they are not playing, a recap of the previous game is displayed.

Loose in desk trash bin Not broken down and uncompacted Loose in desk trash bin Loose in desk trash bin Loose in restroom trash bin

Existing raw data was identi ed for this research and provided valuable direction for the additional data collection. The existing data was primarily utilized to validate the integrated model. These existing raw data sources contained 1282 solid waste generation and recycling records of U.S. companies. These data sources were identi ed from previous research conducted (Franchetti, 1999), professional waste management contacts, information gathered during the literature review, and internet searches. The existing records and studies are from the Waste Minimization Research Project (Lucas County, Ohio) and similar research projects, manufacturing company records, and data collected from the U.S. government. Much raw data existed on waste generation quantities of individual companies, but little information. Many state and local environmental agencies collected waste generation data to use for various aggregate reports. These reports examined waste generation for entire geographical regions, not individual companies. Limited research has been conducted to compile and analyze waste generation for individual companies. No sources were found that archived and consolidated this data from the various sources. Most government agencies collected the individual company data and used it solely to establish aggregate waste rates for reporting requirements. Few in-depth statistical analyses were conducted on the data by the government agencies. The individual data was stored in les and rarely used for other purposes. The existing data sources are listed below

The main view during game time shows a batter at the plate (see Figure 21 6); this batter represents the real batter. Batters will switch sides of the plate, depending on whether the batter currently up hits from the left or right side of the plate. The current pitch count is shown above the plate, and the score is displayed at the top of the screen.