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The more representative our samples are, the more generalizable our findings will be Creating ties to the community does take time, but the benefits in education, public relations, and service to the community far outweigh the costs In conclusion, a careful reading of this chapter should leave the reader with the question: Why don t we do more life span developmental research I have presented information regarding what this approach is and how to structure a life span study I then reviewed theory and empirical support for life span developmental change in cognitions, emotions, and behavior, focusing on issues of stability and change This was followed by a discussion of methodological considerations addressing how life span developmental research should be conducted The tools for designing, conducting, and evaluating a life span developmental study are readily available, along with solid, applicable theories and.



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con guration, 204 congestion control, 521 522 connectivity, 332 338 contention access protocols, 253 cooperative reachback, 42 coordinate system registration, 300 304 coordinate system stitching, 294 296 covering and connectivity properties, 363 364 cricket, 488 critical node degree, 333 334 critical nodes and links, 336 338 critical total power, 334 critical transmission range, 332 333 cryptographic services, 141 172 CSMA, 255 261 data aggregation, 18 22, 123 129, 422 423, 432 433, 442 443, 483 484 lossless aggregation, 128 129 data-centric protocols, 417 456 data-centric storage, 433 data dissemination, see broadcasting data fusion, 493 526 basic operations, 508 parameter estimation, 508, 512 513 redundancy suppression, 508 513 system architecture, 513 515 tradeoffs, 515 516 data gathering, 428, 437 438, 493 526 basic functions, 509 classi cation, 500 507 grid, 505 tree, 505 507 cluster, 505 506 LEACH, 428, 506 data storage, 22 23 data transport, 516 517 energy awareness, 520 ow conservation, 519 ow control and routing, 519 520 ow indivisibility constraint, 519 latency, 520 quality-driven utility function, 520 utility based, 517 521 database systems, 29 30, 496 499 Cougar, 498 TinyDB, 498 TinySQL, 498 Delaunay triangulation, 324 325 demand assignment protocols, 250 dense networks, 42 43





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van Osdol, W W, 182 Van Petten, C, 304 Van Roost, D, 305 van Zomeren, B C, 76, 84, 130, 132, 133 Varney, N R, 309 Velicer, W F, 156, 560, 583, 585, 588, 589, 590, 593, 595, 597, 599, 600, 601, 665, 674 Velleman, P, 42 Velleman, P F, 49 Venables, P H, 306 Venables, W N, 58 Verbeke, G, 95, 453, 471, 476 Verfaellie, M, 291, 301, 305 Verhulst, F C, 571 Vermunt, J K, 665, 679, 680 Vingerhoets, G, 308 Virtanen, J, 305 Visser, P S, 354, 408, 410, 411, 412, 423 Viswesvaran, M, 181 Viswesvaran, V N, 182 Vogt, M, 246 Vogt, T M, 246 von Bertalanffy, L, 243, 451, 477 von Cramon, D Y, 305 von Monakow, C, 295 Vonnahme, P.

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, 52, 53 Wadden, T A, 246, 247, 248, 249, 250 Wagner, A D, 291, 300, 310 Wagner, C C, 409, 412 Wainer, H, 42, 55, 452, 489 Walker, E, 558, 562, 571 Walker, L M, 357, 367 Walker, W, 309 Wall, M M, 629 Walla, P, 304 Wallace, R B, 262 Wallston, K, 259 Walsh, B T, 555 Walsh, V, 298 Walton, M A, 329 Waltz, J, 249 Wan, C K, 257 Wang, W-C, 442 Wanous, J P, 548 Warburton, E, 308 Ward, C C, 410 Ward, J H, Jr, 173, 175 Ward, J J, 259 Ward, M M, 560 Warrington, E K, 295 Washburn, M F, 272 Washington, D O, 195, 196, 197, 198, 199, 200, 202 Wasserman, D A.

This chapter represents the joint effort of three distinct laboratories to describe their different approaches and methodologies for engineering neuroendocrine/neuronal tissues for the possible treatment of neurodegenerative diseases, such as Parkinson disease, which are related to the loss of catecholaminergic neurons. In the rst part, Lelkes and Unsworth discuss the generation of three-dimensional catecholaminergic, adrenal medullary organoids with PC12 pheochromocytoma cells. In the second part, Saporta and Cameron focus on 3-D tissue constructs comprised of Sertoli cells and a neuronal cell line, NT2N. Finally, in the third part, Gallo discusses methods for isolating primary neuronal cells, using the chick dorsal root ganglion as a model system. Although each part was written by the authors mentioned above the overall responsibility for this enterprise rests with Peter I. Lelkes. The reader is advised to refer to each of the individual authors for speci c questions regarding details of their particular methods.

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