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IEEE Transactions on Parallel and Distributed Systems, 13(9):924 935, September 2002 34 M Rabbat and R Nowak Distributed optimization in sensor networks In Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks (IPSN), Berkeley, California, April 2004 35 J Chou, D Petrovic, and K Ramchandran A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks In Proceedings of INFOCOM 2003, San Francisco, April 2003 36 A Scaglione and S D Servetto On the interdependence of routing and data compression in multi-hop sensor networks In Proceedings of the 8th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom 02), Atlanta, Georgia, 2002 37 A Boulis, S Ganeriwal, and M B Srivastava Aggregation in sensor networks: An energy-accuracy trade-off In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications (SNPA 2003), Anchorage, Alaska, May 2003 38 C Schurgers, V.

Although it is likely that a hybrid response set, in which the examinee is motivated to deny or minimize some problems and exaggerate or fabricate others, may be the most common response style adopted in forensic evaluations (see Rogers, 1997, for a discussion), speci c response styles are more likely to occur in particular types of evaluations Concerns about underreporting and minimization often referred to as defensiveness or positive malingering are most likely to surface in three types of forensic evaluations: tness for duty, custody-dependency, and release decision making In evaluations of tness for duty and in preemployment screening, examinees may be motivated to deny and minimize problems they may be experiencing in order to gain desired employment or placement In custody and dependency evaluations, parents may be motivated to present themselves in a positive light so that they can gain custody of their children.

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Tsiatsis, S Ganeriwal, and M Srivastava Optimizing sensor networks in the energy-latency-density design space IEEE Transactions on Mobile Computing, 1(1):70 80, January 2002 39 Y Yu, B Krishnamachari, and V K Prasanna Energy-latency tradeoffs for data gathering in wireless sensor networks In Proceedings of INFOCOM 2004, Hong Kong, March 2004 40 D Slepian and J K Wolf Noiseless encoding of correlated information sources IEEE Transactions on Information Theory, IT-19:471 480, July 1973 41 E Duarte-Melo, M Liu, and A Misra A computational approach to the joint design of distributed data compression and data dissemination in a data-gathering wireless sensor network In Proceedings of the 34th Allerton Conference on Communications Control, Monticello, Illinois, October 2003 42 P Gupta and P R Kumar The capacity of wireless networks IEEE Transactions on Information Theory, 46(2):388 404, 2000 43 D Petrovic, R C Shah, K Ramchandran, and J Rabaey.

And in cases in which persons are being.

Data funneling: Routing with aggregation and compression for wireless sensor networks In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications (SNPA), pages 156 162, Anchorage, Alaska, May 2003..

4C Company Pro Forma Balance Sheet as of December 31, 2005 Assets Current Assets Cash Credit card receivable Accounts receivable Food inventory Beverage inventory Prepaid expenses Total Current Assets Assets Fixed Assets Equipment Less: Accumulated depreciation Net equipment Furnishings Less: Accumulated depreciation Net furnishings Total Fixed Assets Total Assets Liabilities & Stockholders Equity Current Liabilities Accounts payable Accrued payroll payable Income taxes payable Current portion, bank loan Total current liabilities Long-Term Liabilities Bank loan payable Total Liabilities Stockholders Equity Common stock Retained earnings, December 31, 2004 Net income, 2005 Retained earnings, December 31, 2005 Total Stockholders Equity Total Liabilities & Stockholders Equity

The goStraight() method computes how long to wait based on how fast and how far the Roomba is supposed to go. It starts the Roomba up at a speed, waits for the right amount

Fundamentals of Telecommunications. Roger L. Freeman Copyright 1999 Roger L. Freeman Published by John Wiley & Sons, Inc. ISBNs: 0-471-29699-6 (Hardback); 0-471-22416-2 (Electronic)

Because the achievements of AAPA and its members have been distributed over a 30-year period, it is sometimes dif cult to draw lessons from our organizational efforts.

little effect at the beginning of time but will widen the distance between hazard functions on each subsequent occasion One s understanding of event occurrence can be vastly improved by exploring whether the effects of predictors remain constant or vary over time As Verhulst and Koot (1991) noted, what may be a risk factor at one developmental phase may not be at another (p 363) Some recent studies that look for such interactions are indeed nding their presence In their study of the age at rst suicide ideation, for instance, Bolger et al (1989) detected interactions between two key predictors and time Dividing time into two broad periods adolescence and preadolescence they found that the effects of respondent race and parental absence in childhood both differed across these periods.

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