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where r (the average observed correlation) estimates x y , the population mean correlation. Note that this formula weights each correlation by its sample size because studies with larger Ns contain more information. (However, in this case all N = 68, so all studies are weighted equally.) The mean value of .22 is the meta-analysis estimate of the mean population correlation. We next compute the variance of the observed correlations using the following formula: Sr2 = Ni (ri r) 2 = .0120 Ni (21.2)

There are two error probability de nitions: the message bit error rate (BER) or bit error probability, denoted here as Pbe , and the word error probability, denoted as Pwe . A given linear block code can correct error patterns of weight t, or less, in a block or codeword of n bits. The word error probability is bounded by

Independence Same-sex peers Body image Abstract thought Opposite-sex peers Sexual drives Sexual identity Morality Vocational plans Intimacy

es of state and trait anxiety, depression, and feelings of stress or being overwhelmed, and increases in positive mood states, energy, cognitive functioning, self-esteem, and feelings of attractiveness (eg, Berger, 1994; Tomporowski et al, 2005) Stress-related physiological changes associated with acute exercise include changes in electrocortical activity, such as those in the alpha, beta, delta, and theta frequency bands (Crabbe & Dishman, 2004) Increased activity in the alpha frequency band of brain waves, which often have been associated with reports of relaxation and decreased anxiety, has been observed both during and immediately after exercise (Crabbe & Dishman, 2004) It is important to note, however, that not all exercise may be equally effective in reducing stress symptoms.

As the Web becomes a valuable tool for people to obtain information, it is also developing into a unifying platform for automated services between computers. Web services facilitate service creation, integration, aggregation, and discovery by standardizing relevant interfaces. This chapter is a tutorial for Web services, covering Web services architecture and components, with focus on simple object access protocol (SOAP) and Web services description language (WSDL). It also discusses important issues such as over-the-air performance when applying Web services architecture in mobile services.

referred to as the adaptive threshold) By default, a is 02 in Squid Web cache [31] and 05 in Harvest Web cache [64] Before the TTL expires, client requests are served directly from the cache They are fast hits but may be stale On the rst client request after the TTL expires, the proxy sends an If modi ed since request to the server The result may be a modi ed copy or a slow hit In both cases, the TTL of the cached copy is adjusted accordingly Gwertzman and Seltzer [3] showed that adaptive TTL can be tuned to return stale data less than 5% of the time Invalidation-based Web cache consistency protocols include piggyback invalidation and validation [83,84], TCP-based invalidation [5], and volume leases [85,86] Piggyback cache validation (or PCV) and piggyback cache invalidation (or PCI) were proposed in 1997 [83] and 1998 [84], respectively.

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For example, college students randomly assigned to exercising alone, exercising with another person but engaging in no talking, and exercising with another person and talking all reported acute postexercise increases in energy and calmness and decreases in tiredness However, students who were exercising alone and thus avoiding interpersonal competition reported lower postexercise scores on tiredness when measured immediately after exercise and later in the evening (Plante et al, 2001) Illustrating the differential stress-reducing effects of exercise, the two groups exercising in the presence of others reported higher scores on calmness immediately after exercising and later in the evening These changes in affect associated with exercise illustrate the complexity of the exercise-stress reduction relationship and the need for additional research.

(1968) suggests we write a change model for consecutive time points as y[t]n = (ya,n y[t 1]n ), (18.33)