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and conclusions and, when possible, identify weaknesses and lay the groundwork for attack at trial Section 469 presents a description of the deposition process and some pointers for giving deposition testimony (f) SETTLEMENT ANALYSIS Settlement negotiations can occur at any point during the litigation process They can be greatly facilitated by the use of an accounting expert The accountant can be instrumental in evaluating existing alternatives and terms as well as in proposing other strategic approaches The accountant s evaluation may involve (1) the determination of economic value and feasibility of various strategies or (2) an analysis of the strengths and weaknesses of the two sides positions When determining value and evaluating feasibility, the accountant can estimate damages under various scenarios and help to assess the probability of occurrence for each, thereby giving the attorney a better understanding of the risks involved Just as importantly, the accountant can evaluate the true economic value of various settlement alternatives and determine possible tax effects of each This will enable the attorney and client to make a more informed decision regarding settlement options and perhaps offer alternatives that bene t both parties The accountant also can provide an evaluation of the relative strengths and weaknesses of both the plaintiff s and the defendant s positions, thereby helping the attorney strengthen his bargaining position and anticipate potential problems (g) PRETRIAL When preparing for trial, the accountant can assist the attorney by: (1) preparing courtroom graphics, presentations, and exhibits; (2) preparing witnesses for trial testimony; (3) preparing for the cross examination of opposing witnesses; and (4) ne-tuning the overall case strategy (h) TRIAL If the case does not settle, the nal role of the accountant will be to assist during the trial itself The accountant s testimony in court is a key part of this role In testimony, the accountant presents the opinions developed as a result of his information gathering, review, and analysis This role is clearly the most important one the accountant will play in the process It is imperative that the accountant present opinions in a straightforward, cogent, and concise manner The last section of this chapter describes the course of direct testimony and suggests ways to enhance the effectiveness of the testimony Although opinion testimony is of paramount importance at the trial stage, the ccountant can play other valuable roles For example, the accountant can be of tremendous value to attorneys during the cross-examination of opposing experts and nancial witnesses The accountant can work with the attorney to prepare cross-examination questions in an effort to undermine the testimony or the credibility of the witness The accountant will be important in this phase because of his ability to formulate accounting and nancially oriented questions that will be dif cult for the witness to evade or de ect More importantly, the accountant will be able to assess the responses and provide follow-up questions to close the loop on important issues (i) Credentials and Certi cations The expert or consultant in a litigation case brings to the table their skills and past experience Increasingly, individuals are obtaining professional certi cations to re ect those attributes Along with societal and regulatory increased attention to fraud, as evidenced in the passage of the Sarbanes-Oxley Act of 2002, various professional organizations are increasingly offering professional certi cations in forensic and fraud related subject matters Fraud speci c specialty certi cations, in most instances, are obtained as a supplement to the widely recognized designation of CPA, but holding a CPA designation may not be a prerequisite to holding other certi cations One of the best recognized certi cations is the Certi ed Fraud Examiner (CFE) designation of the 36,000 member Association of Certi ed Fraud Examiners (ACFEs) The American Institute of Certi ed Public Accountants (AICPA) and ACFE have been working together for some years to leverage expertise and develop joint training programs The American College of Forensic.

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5.4 THREE-DIMENSIONAL TRIAL WAVE FUNCTION Driven by nowledge of bulk material and the spherical symmetry of the hydrogenic wave function, the next obvious choice of the spatial coordinate r" is given by:. Code39 creation with java using barcode generator for java .2 pays dividends in that the full requirements for the calculation merely require an evaluation of the ntegrals Ij, (j = 1,2,3,4) but with the new form for r". Consider first I1 as originally defined in equation (5.19). Using the new form for r" = r' and switching to plane polar coordinates gives:.Related: .NET EAN-8 Generator , UPC-E Generator .NET , ISBN Generation .NET

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Let us denote by v a sample from the distribution of V Then a sample Z (k) (G) of Z(G) can be deduced from a sample Z (k) (Gv ) of Z(Gv ) by Z (k) (G) = H + (1 pH )Z (k) (Gv ) If s and t are merged into a nal single node, the unreliability of Gv is equal to 0 and then Z (k) (G) = H + (1 pH ) 0 = H If s and t are not connected, the unreliability of Gv is equal to 1 and then Z (k) (G) = H + (1 pH ) 1 = 1 Otherwise, we have found an st-cut in Gv and we proceed again as before The main interest of this procedure is that Gv is smaller than G, and sometimes much smaller, because of the series parallel simpli cations, deletions and contractions performed A function which returns a trial of Z(G) can be summarized as follows: TRIAL-RVR(G, K) 1 Check end recursion condition: If |K| = 1 return(0) If G is not K-connected return(1) 2 Construct sp-red(G) by applying series parallel reductions to G 3 Find a K-cut in sp-red(G): = {l1 , , lH } 4 Compute the probability H that all links in are down 5 Compute the probability mass function distribution of the random variable V 6 Generate a trial v of V 7 Construct the network Gv = sp-red((G l1 l2 lv 1 ) lv ) 8 Recursive step: return( H + (1 H ) Trial-RVR(Gv , Kv )) The memory space complexity of the function TRIAL-RVR(G, K) is of order O(|E|(|E| + |V|)) and time complexity is, in the worst case, of order O(|E|(|K|2 |E||V|2 )) The worst case corresponds to a version using a maximal ow procedure in order to select a K-cut at step 3 of the above algorithm By calling the function TRIAL-RVR(G K) N times, we obtain N independent trials Z (k) (G) of Z(G), 1 k N The sample mean Z(G) of these trials leads to an estimate of Q = 1 R and the variance is estimated by VRV R 1 = N (N 1).

To the best of our knowledge, the CE-MP method [37] which uses the cross-entropy technique to further improve the performance of the merge process method [29] and the RVR technique which exploits series parallel reductions and a minimum cost st-cut strategy [13], where each link l has value ln(ql ), are the most suitable procedures published in the literature to compute network reliability in a rare event context In this section we present some numerical illustrations of these methods For the examples, we consider highly reliable grid topologies G3 and G6 (see Figure 71), where links are assigned equal unreliability q = 10 3 or q = 10 6 as in [37] and K is the set of the four corner nodes For those networks exact values of Q = 1 R are tabulated in column 3 of Table 71 Each exact unreliability Q is used in the computation of the relative error parameter which helps to appreciate the quality of the estimates produced by the two estimators considered Tables 72 and 73 show that both methods lead to small relative errors and the RVR method offers the most accurate estimates In the general case, we do not know the exact values Then, the best estimator in terms of accuracy is the one with smallest variance for a xed sample size N , leading to smallest lengths of con dence intervals Column 6 of Table 73 shows that the RVR method signi cantly reduces the variance with respect to the CE-MP method, and the best gains are obtained for highly reliable cases To illustrate the behavior of the RVR method on dense networks, let us now consider the evaluation of complete opologies for which we calculate the exact.

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155 Carlson LE, Sherwin BB Higher levels of plasma estradiol and testosterone in healthy elderly men compared with age-matched women may protect aspects of explicit memory Menopause 2000;7:168 177 156 Traish AM, Guay AT Are androgens critical for penile erections in humans Examining the clinical and preclinical evidence J Sex Med 2006;3:382 407 157 Morales A, Buvat J, Gooren LJ, Guay AT, Kaufman JM, KimYC, Tan HM, Torres LO Endocrine aspects of men sexual dysfunctions In: Lue TF, Basson R, Rosen R, Giuliano F, Khoury S, Montorsi F, eds Sexual Medicine, sexual dysfunctions in men and women Paris, France: Health Publications; 2004: pp 345 382 158 Zlotta AR, Teillac P, Raynaud JP, Schulman CC Evaluation of male sexual function in patients with lower urinary tract symptoms (LUTS) associated with benign prostatic hyperplasia treated with a phytotherapeutic agent (Permixon), Tamsulosin or Finasteride Eur Urol 2005;48:269 276 159 Lunenfeld B, Saad F, Hoesl CE ISA, ISSAM and EAU recommendations for the investigation, treatment and monitoring of late-onset hypogonadism in males: scienti c background and rationale Aging Male 2005; 8(2):59 74 160 Pitteloud N, Hardin M, Dwyer AA, Valassi E, Yialamas M, Elahi D, Hayes F Increasing insulin resistance is associated with a decrease in Leydig cell testosterone secretion in men J Clin Endocrinol Metab 2005;90: 2636 2641 161 Handelsman DJ, Zajac JD Androgen de ciency and replacement therapy in men Med JAust 2004;180: 529 535 162 Morley JE Clinical diagnosis of age-related testosterone de ciency Aging Male 2000;3(suppl 1):195 163 Heinemann LA, Saad F, Thiele K et al The aging male s symptom rating scale: cultural and linguistic validation into English Aging Male 2001;4:14 164 Beutel ME, Schneider H, Weidner W Symptoms or complaints in the aging male: which questionnaires are available Urologe A 2004;43:1069 1075 165 Vermeulen A, Verdonck L, Kaufman JM A critical evaluation of simple ethods for the estimation of free testosterone in serum J Clin Endocrinol Metab 1999;84: 3666 3672 166 Vermeulen A, Verdonck G Representativeness of a single point plasma testosterone level for the long term hormonal milieu in men J Clin Endocrinol Metab 1992;74:939 942 167 Tancredi A, Reginster JY, Luyckx F, Legros JJ No major month to month variation in free testosterone.

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