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The MACA by invitation (MACA-BI) protocol [19] reverses the handshaking dialogue of MACA In this case, the destination node initiates packet transmission by sending a request-to-receive (RTR) control packet to the source node The source node responds to this poll with a packet transmission Thus, each node must somehow predict when neighbors have packets for it This means that each node must maintain a list of its neighbors along with their traffic characteristics In order to prevent collision, the nodes must also synchronize their polling mechanisms by sharing this information with their neighbors These MACA-based contention protocols minimize collisions by reducing the negative effect of hidden and exposed nodes through simple handshaking dialogues However, the exchange of multiple control packets for each data packet magnifies the impact of signal propagation delay and hardware switching time To some extent, the MACA/PR and.

IMPLICATIONS FOR PERSONALITY STRUCTURE The studies described in the previous section reveal a complex genetic basis for personality. Multiple genetic dimensions differing in the breadth of their effects contribute to personality phenotypes (Jang et al., 1998; Livesley et al., 1998; Livesley & Jang, 2000). Some are relatively speci c dimensions that in uence single phenotypic traits, whereas others have broader effects in uencing multiple phenotypically distinct but covarying traits. Consequently, many traits appear to be in uenced by multiple genes and gene systems. Similarly, trait covariation seems to arise from multiple genetic effects. Genetic effects on traits appear to be direct rather than mediated by higher-order entities. These ndings require replication. Nevertheless they appear to challenge

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Fig. 8.6 Single female burying beetles (open bars) work harder and rest less than females who have a male partner in attendance (solid bars). (From Jenkins, E. et al. (2000) Delayed bene ts of paternal care in the burying beetle Nicroplorous vespilloides. Animal Behaviour, 60, 443 51. Reproduced with permission of Elsevier.)

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In calculating the cost of semantic integrity enforcement in distributed systems, we assume the cost of the CPU is negligible as compared to the communication cost. We also assume that communication cost is directly related to the number of messages required for each approach. This assumption ignores the amount of data transferred by

Read quorum, 292 Reading uncommitted data, 191, 241 Read-only transaction, 241 Real DBMS (Oracle), concurrency control in, 214 222 enforcing serializability in Oracle, 216 222 Oracle lock compatibility matrix, 220 oracle lock duration, 216 Oracle lock escalation, 220 oracle lock types, 216 Oracle row-level locks, 216 read committed level, 216 serializable level, 216 Reconstructiveness, 40 Record, 437, 448 Recoverable schedules, 197, 241 Recovery process, 316 319, See also Transaction recovery based on REDO/UNDO processes, 322 323 checkpointing, 318 319 complete recovery algorithm, 323 324 deferred update, 317 from disk failure, 317 318 immediate update, 317 log information analysis, 316 from a power failure, 317 recovery to a point-in-time in the past, 319 320 recovery to current, 319 Recovery protocol, 332, 340 341, 352 Recovery to current, 353 Recursive relationship type, 400 401, 404, 438 440 Redo scripts, 353 Redundant array of independent disks (RAID), 303 Reentrancy, 553 554, 558

Review of Mathematics for Telecommunication Applications B.1 Objective and Scope B.2 Introduction B.2.1 Symbols and Notation B.2.2 Function Concept B.2.3 Using the Sigma Notation B.3 Introductory Algebra B.3.1 Review of the Laws of Signs B.3.2 Conventions with Factors and Parentheses B.3.3 Simple Linear Algebraic Equations B.3.4 Quadratic Equations

The proof of Lemma 1 involves the extensive use of trigonometric functions to establish the proximity of points, and may be found in [18]. Proof: From Continuous_color, when a node v is to be colored, the already colored distance-2 neighbors of v lie on at most half of v s interference region. The perimeter of that half of an interference region can be partitioned into seven sections such that the distance between the extreme perimeter points in each section does not exceed R. Within each of these sections, from Lemma 1, all of the nodes are distance-2 neighbors, hence each of the nodes must receive a distinct color. Let x be the largest number of nodes in any one of these sections. Then x + 1 is a lower bound on the number of different colors assigned to v and its already colored neighbors. Likewise, 7x + 1 is an upper bound on the number of different colors used by Continuous_color. The theorem follows from the ratio of the upper to lower bound. In regard to running time, it is easy to see that the running time of Continuous_color is O(n log n +nD) when applied to arbitrary graphs. Since D may be as large as 2, we have: Lemma 2 For arbitrary graphs, the running time of Continuous_color is O(n log n + n 2). For unit disk graphs the running time is less. Key to that result is the following, which establishes that D and are linearly related: Lemma 3 In unit disk graphs, D 25 .

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