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fill in any empty space at the top and bottom of the logo by extending horizontal lines Add a keyframe to Frame 4 of both layers and repeat the process you did for Frame 3 But this time, also make background narrower You may also want to move it slightly higher, as shown in Figure 112 Repeat for Frames 5 and 6 Add keyframes to both layers of Frame 7 By now, you should have a very narrow background You may need to make manual adjustments, especially if you have added horizontal line, as mentioned earlier This is the side view, so you should delete logo completely in this keyframe Unlock both frames

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49 15

Analytical Steps:

Technology Steps:

Investigative Steps:

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a large-scale retrospective study of 596 psychiatric outpatients J Sex Marital Ther 1997;23(3):165 175 Aizenberg D, Zemishlany Z, Weizman A Cyproheptadine treatment of sexual dysfunction induced by serotonin reuptake inhibitors Clin Neuropharmacol 1995;18(4):320 324 Balon R Intermittent amantadine for uoxetineinduced anorgasmia J Sex Marital Ther 1996;22(4): 290 292 Shrivastava R, Shrivastava S, Overweg N, Schmitt M Amantadine in the treatment of sexual dysfunction associated with selective serotonin reuptake inhibitors J Clin Psychopharmacol 1995;15(1):83 84 Gitlin MJ Treatment of sexual side effects with dopaminergic agents J Clin Psychiatry 1995; 56(3):124 Price J, Grunhaus LJ Treatment of clomipramineinduced anorgasmia with yohimbine: a case report J Clin Psychiatry 1990;51(1):32 33 Jacobsen FM Fluoxetine-induced sexual dysfunction and an open trial of yohimbine J Clin Psychiatry 1992; 53(4):119 122 Othmer E, Othmer SC Effect of buspirone on sexual dysfunction in patients with generalized anxiety disorder J Clin Psychiatry 1987;48(5):201 203 Ashton AK, Rosen RC Bupropion as an antidote for serotonin reuptake inhibitor-induced sexual dysfunction J Clin Psychiatry 1998;59(3):112 115 Menendez Abraham E, Moran Viesca P, Velasco Plaza A, Marin B Modi cations of the sexual activity in male rats following administration of antiserotoninergic drugs Behav Brain Res 1988;30(3):251 258 Ferraz MR, Santos R Amantadine stimulates sexual behavior in male rats Pharmacol Biochem Behav 1995; 51(4):709 714 Yells DP, Prendergast MA, Hendricks SE, Miller ME Monoaminergic in uences on temporal patterning of sexual behavior in male rats Physiol Behav 1995; 58(5):847 852 Napoli-Farris L, Fratta W, Gessa GL Stimulation of dopamine autoreceptors elicits premature ejaculation in rats Pharmacol Biochem Behav 1984;20(1): 69 72 Kaplan JM, Hao JX, Sodersten P Apomorphine induces ejaculation in chronic decerebrate rats Neurosci Lett 1991;129(2):205 208 Witkin JM, Perez LA Comparison of effects of buspirone and gepirone with benzodiazepines and antagonists of dopamine and serotonin receptors on punished behavior of rats Behav Pharmacol 1989;3: 247 254.

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vendors or customers working in collusion with employees commit fraud What motivations are there to commit fraud on behalf of the organization or against the organization During this stage, accountants should brainstorm potential frauds by type and participant The likely occurrence of the various frauds is considered, and a laundry list of frauds that will be considered is developed Step 3 Catalog Possible Fraud Symptoms for Each Type of Fraud This step in strategic fraud detection involves careful consideration of whether variations of the six types of symptoms discussed earlier could be present in the cataloged frauds identi ed in Step 2 A matrix, tree diagram, or mind map should be created that correlates speci c symptoms with speci c possible frauds For example, fraud involving kickbacks from vendors to buyers might be characterized as shown in Exhibit 493 This step is extremely important because it makes operational the list of frauds hypothesized in the previous step Step 4 Use Technology and Other Means to Gather Data about Symptoms Once symptoms are de ned and correlated with speci c frauds, data are extracted from corporate databases, online Web sites, interviews, and other sources Traditional fraud-search procedures prescribe sampling data, but it is preferable to run fraud-detection queries against full transaction populations Summarization or sampling limits the power of the detection process Sampling can miss important transactions within which fraud has been hidden Because of the large size of typical organizational data stores, many queries are actually composed of several extractions combined with algorithms programmed in scripting languages Small scripts, quickly written and executed, allow accountants to analyze large numbers of transactions and perform repeated analyses For example, ACLScript, the scripting language within ACL, provides signi cantly more power to the user than using ACL from the menu options alone Other popular scripting languages include IDEAScript (IDEA), Visual Basic (Microsoft Excel or Access), PowerScript (PowerBuilder), and Python Step 5 Analyze and Re ne Results Once relevant data are retrieved, they are compared against expectations and models These algorithms examine records and highlight anomalies, unknown values, suggestive trends, or outliers that can then be analyzed directly by examiners These algorithms must be company- and data-speci c to be valuable Data analysis.

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