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Vikki Krane (2001; Krane & Barber, 2003) is the most active sport psychology scholar addressing issues of sexuality and heterosexism Krane and colleagues draw connections among gender, sexism, and heterosexism and have applied social identity as a theoretical framework for their work (eg, Krane & Barber, 2003) Barber and Krane (2005) have taken the feminist and cultural studies approach of moving to action and advocacy and offer suggestions for considering gender and sexuality in sport psychology practice Sexual Prejudice in Sport and Physical Activity Most sport psychology scholarship on sexism and heterosexism focuses on women in competitive athletics, with few scholars examining sexual prejudice in wider physical activity settings Discrimination and prejudice on the basis of sexual orientation is often described as homophobia, but Herek (2000), a leading psychology scholar on lesbian /gay/ bisexual (LGB) issues, prefers sexual prejudice.

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The current version of the starter kit bundle will contain details for using the SKIT with some of the different alternatives, and the documentation les included with the bundle also contain further hints on modifying these setting appropriately..

As Herek notes, sexual prejudice is an attitude (evaluation), directed at a social group, involving hostility or dislike Considerable psychological research confirms persistent sexual prejudice and hostile climates faced by LGB individuals in our society (eg, Herek, 2000; Rivers & D Augelli, 2001) Although scholarly research in sport and physical activity settings is limited, national reports from the National Gay and Lesbian Task Force Policy Institute (Rankin, 2003) and Human Rights Watch (2001), as well as observations and anecdotal evidence, suggest that organized sport is a particularly hostile environment for LGB youth, and fitness clubs, sports medicine facilities, and recreational physical activity programs do not welcome gay men and lesbians..

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Table 13.3 Maximum Overall Signaling Delays Delay (ms)a; Message Type Country Size Large-size to Large-size Large-size to Average-size Average-size to Average-size

SOAP header is inserted to control any caches that may reside in any intermediaries along the message return path to the originating sender The CacheControl Header data are consumed by the caching intermediary This message header must be processed at this SOAP node as determined by the semantics of the mustUnderstand and role attributes (more details later on these semantics) The application semantics of caching determines the behavior at the intermediary In this case the salient data in the message payload are copied to the cache with the indicated index and expiration time The CacheControl Header is stripped by the intermediary (see gure C) and the message follows its path back to the SOAP sending application 14243 SOAP 11 Structure and Processing Model SOAP version 1.

Figure 10.20 shows DRNG and DLSS of a large network where 50 nodes are randomly distributed in a 500 m 500 m area, and the transmission ranges vary from 100 m to 150 m. 10.7 CONNECTIVITY

Greedy routing algorithms limit forwarding decisions on information about the position of all nodes in the vicinity and forward a message to the best neighbor regarding the position of the nal destination and the metric being optimized Each forwarding node applies this greedy principle until the nal destination (if possible) is nally reached The current required location information about neighbor nodes is maintained by proactively exchanging short beacon messages (containing node ID and location) transmitted with maximum signal strength 1221 Progress, Distance, and Direction The rst geographic routing algorithm was described by Takagi and Kleinrock in the mid-1980s [1] They introduced the notion of progress in order to de ne the most forward within radius (MFR) greedy routing scheme.

1 primarily de nes a message structure, a processing model, an encoding scheme for message data, an HTTP binding, and a RPC programming model mapping Arguably, the buzz about Web services is due mostly to this speci cation SOAP is similar to XML-RPC, which is to be expected given their shared origin Many of the features are the same comparable encoding rules, an RPC convention, and HTTP binding orientation What is different is that SOAP allows custom data types, direct support for application intermediaries, an extensibility mechanism, and a de ned processing model for these last two features The cost to SOAP, relative to XML-RPC, is simplicity It seems that the value of this tradeoff is borne out by SOAP s popularity The SOAP message structure and processing model are tightly coupled Hence, it is illustrative to discuss these topics together Figure 14.

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