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Titlebook: Hygrothermal Behavior, Building Pathology and Durability; V. Peixoto Freitas,J.M.P.Q. Delgado Book 2013 Springer-Verlag Berlin Heidelberg

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樓主: fitful
31#
發(fā)表于 2025-3-27 00:26:37 | 只看該作者
Book 2013and hygrothermal behaviour, durability approach for historical and old buildings and building pathology vs. durability. The book is divided in several chapters that are a resume of the current state of knowledge for benefit of professional colleagues, scientists, students, practitioners, lecturers and other interested parties to network.
32#
發(fā)表于 2025-3-27 03:12:24 | 只看該作者
Book 2013he systematization and dissemination of knowledge related to construction pathology, hygrothermal behaviour of buildings, durability and diagnostic techniques and, simultaneously, to show the most recent advances in this domain. It includes a set of new developments in the field of building physics
33#
發(fā)表于 2025-3-27 07:46:25 | 只看該作者
34#
發(fā)表于 2025-3-27 13:22:30 | 只看該作者
35#
發(fā)表于 2025-3-27 16:16:37 | 只看該作者
Martin Krus,Cornelia Fitz,Klaus Sedlbauerables appear to predict the response to antidepressive pharmacotherapy or the long-term course of the illness. Overactivity of the hypothalamo-pituitary-adrenocortical system contributes to the sleep-EEG changes in depression. Sleep-EEG variables appear to provide biomarkers for the course of depres
36#
發(fā)表于 2025-3-27 21:20:11 | 只看該作者
37#
發(fā)表于 2025-3-28 01:46:03 | 只看該作者
38#
發(fā)表于 2025-3-28 04:47:33 | 只看該作者
Carl Eric Hagentoft,Angela Sasic Kalagasidisables appear to predict the response to antidepressive pharmacotherapy or the long-term course of the illness. Overactivity of the hypothalamo-pituitary-adrenocortical system contributes to the sleep-EEG changes in depression. Sleep-EEG variables appear to provide biomarkers for the course of depres
39#
發(fā)表于 2025-3-28 06:52:03 | 只看該作者
40#
發(fā)表于 2025-3-28 13:53:56 | 只看該作者
A. S. Guimar?es,J. M. P. Q. Delgado,V. P. de Freitasms of known antidepressants is another promising way to obtain useful biomarkers. Third, biomarkers could be identified by means of unbiased research. The different “omics” technologies have recently yielded promising results in comparing biological parameters of depressive patients vs. control subj
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