NEW RESEARCH Does ADHD Predict Substance-Use Disorders? A 10-Year Follow-up Study of Young Adults With ADHD Clancey Bateman, Timothy E. Wilens, B.A., M.D., MaryKate Martelon, M.P.H., Gagan Joshi, M.D., Ronna Fried, Ed.D., Carter Petty, M.A., Joseph Biederman, M.D. Objective: High rates of substance-use disorders (SUD) have been found in samples of adolescents and adults with attention-deficit/hyperactivity disorder (ADHD). Predictors of SUD in children with ADHD who are at risk for
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O JOS GE BUS H ING CR E 400 BELT LINE RD TRA L SP R MIDWAY RD PRESIDE NT GEO R 400 531 PRESTON RD COWBOY S LAVO N DR FARMERS BRANCH MARSH LN 451 EN 463 RT FO NT MO 400 400 BELT LINE RD SHILOH LAKE LEWISVILLE DOWNTOWN CARROLLTON STATION BELT LINE RD 036, 183, 205, 333, 347, 350, 361, 362, 400, 463, 488, 534, 536 333 333 350 488 36 400 EK 534 ARAPAHO RD EX P ADDISON TRANSIT CENTER ARAPAHO CENTER STATION
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British Journal of Nutrition (2006), 96, Suppl. 2, S61–S67 q The Authors 2006 DOI: 10.1017/BJN20061865 Nuts and coronary heart disease: an epidemiological perspective ´ John H. Kelly Jr and Joan Sabate* Department of Nutrition, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA The epidemiological evidence for the cardio-protective effect of nut consumption is presented and reviewed. Four large prospective epidemiological studies of primary prevention of coronary
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Logical Design Gregory M Dowell CIS 111 Professor Thakkar 25 February 2014 Logical Design The purpose of normalization is to create a stable set of relations is representative of the operations of an enterprise. By doing this we are able to reduce redundancy to save space and avoid inconsistencies in data. It also ensures that the design is free of certain updates, insertions, and deletion anomalies (Ricardo, 2012). With normalization as with most anything else there are advantages and disadvantages
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data wharehouse Term Paper CIS 111 The concept of data warehousing is easy to understand—to create a central location and permanent storage space for the various data sources needed to support a company’s analysis, reporting and other functions (2011). This actually traces back to about 1990 and the works of Bill Inmom. Inmom defined a data warehouse as ‘a subject oriented, intergraded, time-variant and non-volatile collection
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supply network structure interacts with Customer Integration (CI) by positively moderating the relationship between CI and efficiency performance. Design/methodology/approach: Two hypotheses are developed, incorporating dimensions of Customer Integration, Fast Supply Network Structure and Efficiency performance. The hypotheses are tested through a hierarchical regression analysis using data from a sample of 200 manufacturing plants. Findings: CI alone is not enough to guarantee cost reductions because
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Journal of Urban Health: Bulletin of the New York Academy of Medicine, Vol. 89, No. 5 doi:10.1007/s11524-012-9683-9 * 2012 The New York Academy of Medicine Changes in Smoking Prevalence and Number of Cigarettes Smoked Per Day Following the Implementation of a Comprehensive Tobacco Control Plan in New York City Micaela H. Coady, John Jasek, Karen Davis, Bonnie Kerker, Elizabeth A. Kilgore, and Sarah B. Perl ABSTRACT The New York City (NYC) Health Department has implemented a comprehensive
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College of Arts and Sciences CUREJ - College Undergraduate Research Electronic Journal University of Pennsylvania Year 2006 Corporate-NGO Partnerships for Sustainable Development Corinne Damlamian University of Pennsylvania, cdamlamian@gmail.com This paper is posted at ScholarlyCommons. http://repository.upenn.edu/curej/12 CORPORATE-NGO PARTNERSHIPS FOR SUSTAINABLE DEVELOPMENT How corporations and nongovernmental organizations can work together, illustrated with examples from the
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Running head: SHORT TITLE OF PAPER (<= 50 CHARACTERS) Data Warehousing and Data Mining Bruce Nimo CIS 111 March 19, 2012. Prof Jones Data mining is a process of numerical analysis. Analysts use technical tools to query and sort through terabytes of data looking for patterns. Usually, the analyst will develop a hypothesis, such as customers who buy product X usually buy product Y within six months. Running a query on the relevant data to prove or disprove this theory is data mining
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REPO RT ON CEO(S A ND CFO (S RESP ONSIBILITIES I 078 INDEPENDENT A UDITOR#S REPORT I 08/ CONSOLIDATED BALA NCE SHEET I 081 CONSOLIDATED PROFIT A ND LOS S A CCO UNT I 083 CONSOLIDATED STATEMENT OF CAS H FLOW I 08 5 CONSOLIDATED STATEMENT OF CHANGES IN EQUITY I 086 CONSOLIDATED LIQ UIDITY S TATEMENT I 087 BALANCE S HEET I 088 PRO FIT AND LOSS ACCOUNT I 1/ 0 STATEMENT O F CASH FLOW I 1/1 STATEMENT O F CHA NGES IN EQUITY I 1/2 LIQUIDITY STATEMENT I 1/3 NO TES TO THE FINANCIAL STATEMENTS I 1/4 ANNEXURE
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