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studies on the incidence of anorexia nervosa that report overall rates for a general population sample. The overall rates vary considerably, ranging from 0.10 in a hospital-records-based study in Sweden in the 1930s to 12.0 in a medical-records-based study in the USA in the 1980s, both per 100 000 population per year. Incidence rates derived from general practices on average represent more recently started eating disorders than those based on other medical records. There were two studies of this type (Hoek et al., 1995, and Turnbull et al., 1996). In the study by Hoek and colleagues, general practitioners using DSM-III-R criteria have recorded the rate of eating disorders in a large (1985: N = 151 781), representative sample (1.1%) of the Dutch population. The incidence rate of anorexia nervosa was 8.1 per 100 00 person years (95% CI 6.1 10.2) during the period 1985 1989. During the study period 63% of the incident cases were referred to mental health care, accounting for an incidence rate of anorexia nervosa in mental health care of 5.1 per year per 100 000 population. Turnbull et al. (1996) searched the UK General Practice Research Database (GPRD), covering 550 general practitioners and 4 million patients, for rst diagnoses of anorexia in the period 1988 1993. A randomly selected subset of cases was checked with DSM-IV criteria, from which estimates for adjusted incidence rates were made. For anorexia nervosa they found an age- and sexadjusted incidence rate of 4.2 (95% CI 3.4 5.0) per 100 000 population in 1993. Lucas et al. (1991, 1999) used the most extensive case- nding method (see the section on prevalence). 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We run TFLOPS, the FLOPS IDE, and read our program either from the keyboard or from a previously created disk program le We make sure that any run commands in the program are either preceded by :keyboard commands or, if there is only one run command at the end of the program, it has been commented out by inserting a colon (:) in front of the run command It is a good idea to route output to a debug le, as provided by the Options menu item dialog box In this dialog box, we can enter the name of our debug le and select an option to display the debug le in TFLOPS at the end of the run Now, we click the Run menu item, and the Run < lename> sub-menu item; the FLOPS run commences. Table 5-2: Control Keys for Editing with JOE (continued) zxing barcode scanner java BarCode Scanner [ JS Frontend only ] : javascript - Reddit Looking for a BarCode scanner for a website. The backend would be Apache+PHP. 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FLOPS begins by compiling the program; that is, it compiles the rule antecedents to an ef cient pseudo-code (Note that in similar expert systems, the bottleneck is evaluating the rule antecedents to see which rules are new reable, so the compilation is directed at the most time-consuming part of the program) If the program encounters any compilation errors, these are returned to TFLOPS for correction of the source code If the program compiles satisfactorily, and no gross errors are encountered, the program will pause in command mode, indicated by the FLOPS prompt >> We can now proceed to perform our checks, one by one We have two possible problems; incorrect rules reable, or incorrect data Both problems are often simultaneously present Incorrect data are often the cause of incorrect rule reability. 25 20 12 8 First, we can make sure that we have the proper data by entering prdata; at the FLOPS prompt, and by comparing the actual data with the desired data on our debugging list If everything seems OK, we can check whether the proper rules are reable by entering prstack This will not only list the newly reable rules, but will also give the con dence with which they are reable If all the proper rules are reable and none other, all is well; we can enter run 1; and begin again with the rst step in the preceding paragraph, executing the debug procedure repetitively until an error is encountered If all is not well, we may have rules that are not reable when they should be; rules that are reable when they should not be; or both. 1 The views expressed in this module are those of the author and do not necessarily re ect the views of his af liation entity. 2 Was then called GSM Association. We can review the rules with questionable reability by entering prule <rulename>; at the command prompt >> , and can review the data by entering prdata <data element name>; (Data elements in FLOPS correspond to data structure names in C; all data in FLOPS are held in data elements) For rules that should be reable but are not, we enter (at the command prompt) explain why not <rulename>; or simply why not <rulename>; An explanation of why the rule is not reable will be written to the screen (and to our debug output le) Similarly, for rules that are reable when they should not be, we enter explain why <rulename; or why not <rulename>; We then exit FLOPS and return to the IDE, TFLOPS, to correct the problem. After you know which processes have files open, you can close those processes manually or kill them. Close processes manually if at all possible, because simply killing processes can leave files in an unclean state! 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