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Titlebook: Community Resilience in Natural Disasters; Anouk Ride,Diane Bretherton Book 2011 Anouk Ride and Diane Bretherton 2011 community.crisis.dis

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11#
發(fā)表于 2025-3-23 13:32:15 | 只看該作者
12#
發(fā)表于 2025-3-23 16:28:58 | 只看該作者
https://doi.org/10.1007/978-1-4939-9015-3immunohistochemistry; cytoskeleton; microelectrode; curvature; auxin
13#
發(fā)表于 2025-3-23 20:50:36 | 只看該作者
Verification of the cryptlib Kernel,ty of three alternatives, and two, three agents, or possibly of larger scale models. Based on the standard axioms in voting and social choice, this modeling makes the axiomatic approaches in social sciences computationally verifiable and intellectually tangible by means of the logic programming.
14#
發(fā)表于 2025-3-24 01:42:26 | 只看該作者
15#
發(fā)表于 2025-3-24 04:17:56 | 只看該作者
Empirical results: Rent forecasting,ntial to derive their atmospheric trajectories and pre-impact heliocentric orbits. Similarly, while observations of meteors generate thousands of new entries per month to existing databases, it is extremely rare they lead to meteorite recovery (.). These 25 exceptional cases thus deserve a thorough
16#
發(fā)表于 2025-3-24 09:34:11 | 只看該作者
17#
發(fā)表于 2025-3-24 11:09:05 | 只看該作者
Thomas Thurnell-Read,Mark Monaghanrates are moderate to low, reaching 11%/s, and frequency response can reach several hertz. Faster response (> 1 kHz) is anticipated in nanostructured materials. Forces can be maintained with minimal power expenditure. This chapter reports on the current status and some of the anticipated properties
18#
發(fā)表于 2025-3-24 17:11:30 | 只看該作者
19#
發(fā)表于 2025-3-24 22:37:07 | 只看該作者
Nicole Hoffmann particular, are investigated. To begin with, data-providing information systems are distinguished from reference-providing information systems. References can be provided in (at least) four stages: accession numbers, citations, abstracts, and copies of the documents recommended pertinent to a reque
20#
發(fā)表于 2025-3-25 01:23:22 | 只看該作者
Georg B. Gerber-sensor technology. The quest to make sense of such large volume and variety of that has both highlighted the limitations of standard flat-view matrix models and the necessity to move toward more versatile data analysis tools. One such model which is naturally suited for data of large volume, variet
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