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Diabetes mellitus represents a group of metabolic disorders of varying etiologies that are all characterized by hyperglycemia (i.e., high blood sugar levels). Across all subtypes of diabetes, this chronic hyperglycemia is associated with acute symptoms as well as a variety of serious long-term medical complications, including retinopathy, peripheral and autonomic neuropathies, nephropathy, and cardiovascular disease. Diabetes is the leading cause of blindness, amputations, and kidney transplants. Diabetes occurs in approximately 15.7 million people in the United States, with 5.4 million of these persons undiagnosed and approximately 800,000 additional new cases diagnosed per year (Centers for Disease Control and Prevention [CDC], 1998). Importantly, recent research indicates that the prevalence of diabetes continues to increase rapidly in the United States, rising by 33% between 1990 and 1998 (Mokdad et al., 2000). These authors suggest that diabetes will become even more common in subsequent years because of the increasing prevalence of obesity. Diabetes is more frequent in the elderly and certain racial and ethnic groups (e.g., African Americans, Hispanic/Latino Americans, American Indians) and is the seventh leading cause of death in the United States (CDC, 1998). The annual costs of diabetes, including both direct medical costs and indirect costs due to disability, work loss, and premature mortality, were estimated to be $98 billion in 1997 (American Diabetes Association [ADA], 1998). Because of its increasing prevalence, disease burden on the individual, and economic costs to the nation,

That is, the response probabilities (in logits) are equal to the difference between a person s ability v and the item difficulty i. In contrast to the classical error model, in which an observable manifest variable, X, of a person v for an item i is decomposed additively into the unobservable variables (true score) and e (error component), the decomposition in the Rasch model refers to the logits of the response probabilities (equation 33.1). A simple transformation of equation 33.1 leads to the better known response function of the Rasch model: p ( Xvi = 1) = e(

Plextor ConvertX 402U family Run myth-setup and add a capture card (option 2 on the main screen); the proper device is called USB MPEG-4 Encoder (Plextor ConvertX, etc). You will need to change the audio device to /dev/dsp1 to record sound. After completing mythtv-setup, you must go into the MythTV frontend and customize recording profiles. Access the frontend, select Utilities/Setup Setup TV Settings Recording Profiles. Choose USB MPEG-4 Encoder (Plextor ConvertX, etc). To record TV properly, you need to adjust the ConvertX (see Figure 3-5) width to 640, but the default height of 480 is fine. A lower recording quality of 320 240 is also valid, and useful for archiving to CD. Go through each of the listed recording qualities, which are ordinarily Default, Live TV, High Quality, and Low Quality. The first screen enables you to rename the profile. Skip this and move to the second screen, and edit the width to 640. Skip the third screen, and on the final screen, Audio, set the value to Uncompressed. Now go back and make these changes to all of the listed recording qualities.

NodeFactory NodeFactory is the name of a Java class in the framework A NodeFactory is responsible for creating objects that support the Node interface Once we have created a NodeFactory object, it can choose one of two mechanisms for determining the class names to use when creating Node instances The NodeFactory object can lookup a system property or it can use a hard-coded default class name It is necessary to have two mechanisms because some environments (eg, Applets) cannot read system properties without special security policy changes When a NodeFactory object is created, it defaults to using the hard-coded value If the NodeFactory instance is created with the doLookupProperty parameter set to true, then it will use the system property approach.

Hub Hub is the name for the Java interface that represents a centralized communication point a physical or virtual place where multiple pieces of software (Nodes) connect to exchange messages (Msgs) with each other We can think of a Hub as a virtual building used for meetings, like a convention center, where the Node instances can come to communicate with each other Each Hub instance must have a unique, casesensitive, logical name (a HubName ), which is used to identify it inside the system For example, HUB MN, Hub-1, and Primary Hub are good choices for HubName values Each Hub instance must also specify some location information which will be used to connect to the correct physical Hub deployment This location information is stored as a URL.

Figure 6-5

The URL consists of a protocol, machine name (or IP address), port number, and (optionally) the rest of the URL (the URL suf x) For example, we would interpret a URL with the value http://myHost:1234/SomeImplementationDetail to mean that we should use the http protocol to connect to a certain machine ( myHost ) using a particular port ( 1234 ) with the speci ed suf x ( /SomeImplementationDetail ) It is possible that some pieces within the URL will be missing (this is implementation dependent) HubFactory HubFactory is the name of a Java class in the framework This is another factory class (like the NodeFactory) but this class is responsible for creating objects that support the Hub interface rather than the Node interface.