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unauthorized access to clients online bank accounts through the electronic banking system. She had fraudulently discovered personal identi cation numbers (PINs) of some clients by sending them e-mails that appeared to come from Meneo but were in fact well-crafted phishing e-mails. They told customers there was an error in the online system, and the bank had assigned them temporary PINs. To reset their PINs, they had to respond to Jane s fake e-mail with a new PIN. When clients changed their PINs, they gave Jane access to their bank accounts. I also saw e-mails that clients had received, directing them to a fake Web site that looked exactly like Meneo Bank s Web site. By acquiring passwords and unauthorized access to about 25 accounts, Jane transferred funds from clients accounts to her offshore company. Half of the money was sent through SWIFT (an electronic-payment system) to the Isle of Man, where Jane s offshore company was located. The other half of the money was used to cover withdrawals and usury. The investigation showed that Jane was crediting sight-deposit accounts by providing loans to six clients through the Internet banking function and charging a monthly interest rate of 13 14 percent, which constituted usury. Most deposit clients told me that Jane was offering a 6 7 percent annual interest rate on new deposits double the market rate and that offered by other nancial institutions. However, at the same time she was charging for loans on the black market.

public class SubtractingService { public SubtractingService() throws IOException { setUpSecurityManager(); setUpJoinManager(); } private void setUpSecurityManager(){ if (System.getSecurityManager() == null) { System.setSecurityManager(new RMISecurityManager()); } } private void setUpJoinManager(){ try{ JoinManager joinManager = new JoinManager(new SubtractorProxy(), null, (ServiceIDListener)null, null, null); } catch (IOException e) {} } public static void main(String args[]) { try { new SubtractingService(); Thread.sleep(5000); } catch (IOException e) { e.printStackTrace(); } catch (InterruptedException e){ e.printStackTrace(); } } }

P(Z 1.4)-P(Z<00)=0.9192-0.5000=0.4192 P(Z<0)-P(Z<-0.78)=P(Z<0.78)-P(Z<0)=0.7823-0.500=0.2823 P(Z 1.9)-P(Z -0.24)=0.9713- 1-P(Z 0.24) =0.9713-0.4052=0.5661 P(Z 1.96)-P(Z 0.75)=0.9750-0.7734=0.2016 P(- <Z 0.44)=0.6700 P(- Z 1.2)=0.8849 P(Z 1)-P(Z -1)=0.8413- 1-P(Z 1) =0.8413-0.1587=0.6826 P(Z 1.96)-P(Z -1.96)=0.975- 1-P(Z 1.96)=0.975-0.025=0.9500 P(Z 2.58)-P(Z -2.58)=0.9951-0.9949=0.9902

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Leadbetter, M R (1966) On crossings of levels and curves by a wide class of stochastic processes Ann Math Statist, 37, 260 267 (1967) A note on the moments of the number of axis crossings by a stochastic process Bull Amer Math soc, 73, 129 132 (1968) On three basic results in the theory of stationary point processes Proc Amer Math Soc, 115 117 (1972) Point processes generated by level crossings, in Stochastic Point Processes, P A W Lewis, ed Wiley, New York, pp 436 467 Leadbetter, M R, and Rootz n, H (1988) Extremal theory for stochastic processes Ann e Probab, 16, 431 478 Leadbetter, M R, Lindgren, G, and Rootz n, H (1983) Extremes and Related Properties e of Random Sequences and Processes Springer-Verlag, New York Ledoux, M (1996).

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Summary of Physical Variables It is very rare that I recommend an appliance other than a full-coverage stabilization appliance, one that covers all of the teeth in the arch. In deciding whether to recommend a maxillary or mandibular appliance, I rst consider the propensity for the maxillary anterior teeth to are. If there is compromised bone support of the maxillary anterior teeth or severe tooth attrition, I am afraid the maxillary anterior teeth may are, so I only recommend a maxillary appliance. If I plan for the patient to wear the appliance during the day (usually for a few months) as a temporary crutch until he or she breaks the

Isoperimetry and Gaussian analysis, in Ecole d Et de Probabilit s e e de Saint-Flour 1994 Lecture Notes in Mathematics 1648 Springer-Verlag New York, pp 165 264 (2001) The Concentration of Measure Phenomenon American Mathematical Society, Providence, RI Ledoux, M, and Talagrand, M (1991) Probability in Banach Spaces Springer-Verlag, New York Le n, J (2006) A note on Breuer-Major CLT for non-linear functionals of continuous o time stationary Gaussian processes Preprint Le n, J, and Ortega, J (1989) Weak convergence of different types of variation for o biparametric Gaussian processes Colloq Math Soc J Bolyai , 57 Li, W V, and Shao, Q-M (2001) Gaussian processes: inequalities, small ball probabilities and applications, in Stochastic Processes: Theory and Methods, C R Rao and D Shanbhag, eds, North-Holland, Amsterdam, pp 533 598 Li, W V, and Shao, Q-M (2002).

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