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Titlebook: Illness Behavior; A Multidisciplinary Sean McHugh,T. Michael Vallis Book 1986 Plenum Press, New York 1986 Forums.assessment.behavior.devel

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樓主: patch-test
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發(fā)表于 2025-3-28 15:27:15 | 只看該作者
42#
發(fā)表于 2025-3-28 21:16:43 | 只看該作者
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發(fā)表于 2025-3-28 23:30:34 | 只看該作者
Reforming Medical Education: Towards a Broadening of Attitudest was hypothesized that the behaviour of some mothers and some infants (not necessarily in the same family), would allow one to predict by the age of six months which children were at serious risk for becoming schizophrenics in the future. We could then check our experimental findings against what had actually become reality.
44#
發(fā)表于 2025-3-29 04:35:41 | 只看該作者
45#
發(fā)表于 2025-3-29 08:31:22 | 只看該作者
Humanizing IoT: Defining the Profile and the Reliability of a Thing in a Multi-IoT Scenario,r looking like the one of humans in social networks. Therefore, recently, several approaches combining the Internet of Thing (IoT) and social networking have been proposed. Thus, it is not out of place to talk about “humanization” of things, i.e., to assume that they show behaviors similar to the on
46#
發(fā)表于 2025-3-29 12:38:08 | 只看該作者
2511-2023 leading international cases on regional development and soc.Structural change is an evolutionary process that is often cumulative within territories, improving the quality of life and achieving higher development levels. At the same time, smart cities, education and social innovation are essential
47#
發(fā)表于 2025-3-29 18:40:13 | 只看該作者
48#
發(fā)表于 2025-3-29 22:13:11 | 只看該作者
Implementation of Quality Information Framework (QIF): Towards Automatic Generation of Inspection Plnd the implementation methods of QIF. It describes the development of software tools using Python language for the generation of QIF files from MBD (STEP AP 242) and also the automatic generation of DMIS inspection plan from QIF file.
49#
發(fā)表于 2025-3-30 00:43:30 | 只看該作者
50#
發(fā)表于 2025-3-30 05:23:09 | 只看該作者
Vsevolod V. Koryanov,Andrey S. Kukharenko,Lang Shuobin,Danhe Chenintegrate it with OpenStack, a popular cloud platform. We perform extensive experiments in both simulated and real cloud environments and the results demonstrate the effectiveness of Proactivizer in reducing the response time significantly (e.g., within 9 ms to verify a cloud of 100,000 VMs and up?t
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