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Demographics users

Our current study of drug use and crime in arrestees in Manhattan overcame some of these measurement problems and enabled us to address some of these basic questions regarding POP use and crime. The recent use of PCP (as well as other drugs) in male arrestees was measured by a urinalysis of a specimen obtained within hours after arrest. We therefore did not have to rely on each person s accurate report that he had taken PCP. We shall use the urinalysis test results, with information from interviews with the arrestees, and from their criminal records, to describe the prevalence of PCP use in arrestees, the demographic characteristics of users and the types of offenses for which they are arrested. The next section describes our study of drug use and crime in arrestees in Manhattan. [Pg.189]

Though data on the regular party-going subset of the gay community is comparatively sparse, the research that has been conducted indicates gay men of a much broader age demographic are users of ketamine and other club drugs. [Pg.272]

Another popular tool, also by Thomson Gale, is Business Industry . This database includes coverage from 1700 leading trade magazines and newsletters and the general business press. It specifically covers markets and products from all major industries. Users can find information on market share, market size, company and industry forecasts, trends, demographics, product developments, mergers and... [Pg.160]

By the end of 1981, those symptoms were recognized as harbingers of a new and deadly disease. The disease is initially called Gay Related Immune Deficiency . Within a year, similar symptoms appeared in other demographic groups, primarily haemophiliacs and users of intravenous drugs. The CDC renamed the disease Acquired Immune Deficiency Syndrome (AIDS). By the end of 1983, the CDC had recorded some 3000 cases of this new plague. The prospects for AIDS patients were not good almost half had already died. Twenty years after, more than 30 million cases are estimated worldwide. [Pg.17]

For example, assume that users analyze the U.S. counties data set with 17 demographic, health, and econontic statistics available for each county. The dataset can be thought of as a 17-dimensional dataset. Users can choose Pearson correlation coefficient as a ranking criterion at the rank-by-feature framework if they are interested in linear relationships between dimensions. Then, the rank-by-feature framework calculates scores (in this case, Pearson correlation coefficient) for aU... [Pg.168]

Figure 7.7 Rank-by-feature framework interface for scatterplots (2D) Scatterplot Ordering. All 2D scatterplots are ordered according to the current ordering criterion (a) in the ordered list (c). Users can select multiple scatterplots at the same time and generate separate scatterplot windows to compare them in a screen. The score overview (f>) shows an overview of scores of all scatterplots. A mouseover event activates a cell in the score overview, highlights the corresponding item in the ordered list (c), and shows the corresponding scatterplot in the scatterplot browser d) simultaneously. A click on a cell at the score overview selects the cell and the selection is fixed until another click event occurs in the score overview or another selection event occurs in other views. A selected scatterplot is shown in the scatterplot browser id), where it is also easy to traverse scatterplot space by changing the x- or y-axis using item sliders on the horizontal or vertical axis. (The dataset shown is demographic- and health-related statistics for 3138 U.S. counties with 17 attributes.) (See color insert.)... Figure 7.7 Rank-by-feature framework interface for scatterplots (2D) Scatterplot Ordering. All 2D scatterplots are ordered according to the current ordering criterion (a) in the ordered list (c). Users can select multiple scatterplots at the same time and generate separate scatterplot windows to compare them in a screen. The score overview (f>) shows an overview of scores of all scatterplots. A mouseover event activates a cell in the score overview, highlights the corresponding item in the ordered list (c), and shows the corresponding scatterplot in the scatterplot browser d) simultaneously. A click on a cell at the score overview selects the cell and the selection is fixed until another click event occurs in the score overview or another selection event occurs in other views. A selected scatterplot is shown in the scatterplot browser id), where it is also easy to traverse scatterplot space by changing the x- or y-axis using item sliders on the horizontal or vertical axis. (The dataset shown is demographic- and health-related statistics for 3138 U.S. counties with 17 attributes.) (See color insert.)...
In the IPDP of medical equipment the users values and demands and adverse external factors are included, which may relate direcdy or indirectly to the product development cycle, such as the discovery of new diseases or epidemiological changes, political and/or economic demands, or even demographical aspects. Nonetheless, these demands contribute to the medical field driving technological innovation and bringing new challenges in the search for solutions that can be deployed in the improvement of the functions of the medical equipment. [Pg.740]

Susceptibility factors Sex In an in-depth comparison of 12 female self-reported users of anabolic steroids and a larger group of similar men, using a web-based survey based on sports activities, participants completed a survey regarding demographics and use of anabolic steroids and other performance-enhancing agents [38 ]. In all. [Pg.672]

This includes a plethora of mobile apps for both Apple iOS- and Google Android-based smartphones. Health-related apps rank among the popular ones for smartphones of any kind. This type of PHR usually contains very basic demographic data and has limited features and limited facility to upload image-based information. Information is saved only in the particular mobile phone s application [14] and cannot be easily transferred to another device or database. Thus, they satisfy the ubiquitous criteria for presence wherever the individual owner/user is but may fall short if remote access is required. [Pg.307]

The Web 2.0 aspect of Facebook provides a tool for friends to keep in touch and for individuals to have a presence on the Internet without needing to build a website. Facebook makes it easy to upload pictures and videos, making its use so simple that nearly anyone can publish a multimedia profile (Mitrano, 2008). Facebook has made it easy to find friends using e-mail addresses, to search by name, or to pull up listings based on a variety of demographic variables. With a public profile on Facebook, a student can be found by the other five hundred million users. [Pg.65]

Markets User groups Regions/countries in which sold Market demographics Downstream customers (distributor/OEM)... [Pg.141]

Former users of finasteride (n=61) with persistent sexual side effects for over 3 months were administered standardised interviews that gathered demographic information, medical and psychiatric histories and information on medication use, sexual function, and alcohol consumption [24. All former users were otherwise healthy men not suffering from any of the pre-said conditions or users of oral prescription medications before or during finasteride use. A control group of 29 men, selected from the community, had male pattern hair loss but had never used finasteride and denied any history of psychiatric conditions or use of psychiatric medications. The primary outcomes were the prevalence of depressive symptoms and the prevalence of suicidal thoughts as determined by the Beck Depression Inventory II all subjects self-administered the questionnaire at tire time of the interview or up to 10 months later. [Pg.211]


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See also in sourсe #XX -- [ Pg.15 , Pg.42 ]




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