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Titlebook: Neuroimmunology of Sleep; S. R. Pandi-Perumal,Daniel P. Cardinali,George P. Book 2007 Springer-Verlag US 2007 Cardinali.Chrousos.Deprivat

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41#
發(fā)表于 2025-3-28 17:47:19 | 只看該作者
Neuroimmunology of Pregnancy-Related Sleep Disturbancesduring the night, as well as complaints of fatigue during the day. Although nausea (i.e., morning sickness) is most commonly expected in the first trimester, an increase in fatigue, which is often a consequence of disturbed sleep, is actually the first symptom of pregnancy (Lee 2006). Various contri
42#
發(fā)表于 2025-3-28 21:30:29 | 只看該作者
43#
發(fā)表于 2025-3-29 01:40:04 | 只看該作者
Inflammation and Sleepg the inflammatory process, soluble mediators and cellular components work together to contain and eliminate the agents causing physical distress. Although inflammation is crucial to maintaining the health and integrity of an individual organism, both inadequate and excessive immune responses are de
44#
發(fā)表于 2025-3-29 06:58:23 | 只看該作者
Neuroimmune Activation in Sleep Apneatation and the accompanying hypoxemia lead to many negative consequences including cardiovascular diseases, cognitive impairment, daytime sleepiness, fatigue, and depressive symptoms (Parish and Somers 2004; Reimer and Flemons 2003). Originally viewed as an interesting but rare malady, OSA is now re
45#
發(fā)表于 2025-3-29 09:27:59 | 只看該作者
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46#
發(fā)表于 2025-3-29 11:23:42 | 只看該作者
https://doi.org/10.1007/978-0-387-69146-6Cardinali; Chrousos; Deprivation; Nervous System; Neuroimmunology; Pandi-Perumal; Sleep; physiology
47#
發(fā)表于 2025-3-29 16:05:15 | 只看該作者
978-1-4419-4340-8Springer-Verlag US 2007
48#
發(fā)表于 2025-3-29 20:58:35 | 只看該作者
49#
發(fā)表于 2025-3-30 03:18:36 | 只看該作者
S. R. Pandi-Perumal,Daniel P. Cardinali,George P. Specifically addresses the neuroimmunology of sleep
50#
發(fā)表于 2025-3-30 05:42:13 | 只看該作者
Tetsuya Kushikata,Hitoshi Yoshida,Tadanobu Yasudabaker.. However, while this important quantitative source is unable to highlight the innumerable shades and variations that characterized the urban social structures, it can still provide a useful classification of the Milanese population by productive sectors (see table 2.1). At the very least, thi
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