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Thematische Bibliographien / Recovery events

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Zeitschriftenartikel

Auswahl der wissenschaftlichen Literatur zum Thema „Recovery events“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 6. Februar 2022

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Zeitschriftenartikel zum Thema "Recovery events"

1

Davidson, Dennis M., and Cathy A. Maloney. "Recovery After Cardiac Events." Physical Therapy 65, no. 12 (1985): 1820–27. http://dx.doi.org/10.1093/ptj/65.12.1820.

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2

Wang, Jianmin, Shaoxu Song, Xiaochen Zhu, and Xuemin Lin. "Efficient recovery of missing events." Proceedings of the VLDB Endowment 6, no. 10 (2013): 841–52. http://dx.doi.org/10.14778/2536206.2536212.

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3

Wang, Jianmin, Shaoxu Song, Xiaochen Zhu, Xuemin Lin, and Jiaguang Sun. "Efficient Recovery of Missing Events." IEEE Transactions on Knowledge and Data Engineering 28, no. 11 (2016): 2943–57. http://dx.doi.org/10.1109/tkde.2016.2594785.

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4

Su, Yi-Zhu, and Wei-Chang Yeh. "Binary-Addition Tree Algorithm-Based Resilience Assessment for Binary-State Network Problems." Electronics 9, no. 8 (2020): 1207. http://dx.doi.org/10.3390/electronics9081207.

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Applications in real life are composed of different kinds of network systems; these networks may be interfered by uncontrollable or unpredictable disruptive events involving natural disasters, human errors, evil-intentioned attacks, or other disturbances. Any of these disruptive events will cause networks to malfunction and possibly result in large economic losses. As a result, it is important to assess network resilience which is a measure to describe how a network system recovers its performance and functionality to a satisfactory level from a disruptive event. Inspired by the measures of re

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5

Cockbain, A. E. "Biotic recovery from mass extinction events." Earth-Science Reviews 42, no. 1-2 (1997): 133–34. http://dx.doi.org/10.1016/s0012-8252(97)83484-8.

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6

Dissanayake, Pushpa, Jennifer Brown, and Harshinie Karunarathna. "EFFECT OF FUTURE STORM CLUSTERING ON BEACH/DUNE EVOLUTION AND COASTAL FLOODING." Coastal Engineering Proceedings, no. 35 (June 23, 2017): 19. http://dx.doi.org/10.9753/icce.v35.sediment.19.

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Future storm impacts on dune evolution due to changing storm frequency were simulated in XBeach at an exemplary dune system, Formby Point, UK. Probabilistic approaches were used to establish the future storm clusters from 2015 to 2065 in three scenarios, using measured data in Liverpool Bay. Cross-shore profile simulations were carried out in two series: Recovery and Cluster. Recovery used the same initial profile assuming that the profile is fully recovered when the subsequent storm event occurs. Cluster used the modified profile from the previous storm event. Within a single event, the maxim

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7

Jemni, Monèm, William A. Sands, Françoise Friemel, and Paul Delamarche. "Effect of Active and Passive Recovery on Blood Lactate and Performance During Simulated Competition in High Level Gymnasts." Canadian Journal of Applied Physiology 28, no. 2 (2003): 240–56. http://dx.doi.org/10.1139/h03-019.

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The purpose of this study was to investigate the effect of two recovery strategies between men's gymnastics events on blood lactate removal (BL) and performance as rated by expert "blind" judges. Twelve male gymnasts (21.8 ± 2.4 years) participated. The sessions were composed of routine performances in the six Olympic events, which were separated by 10 min of recovery. All gymnasts performed two recovery protocols between events on separate days: Rest protocol, 10 min rest in a sitting position; combined protocol, 5 min rest and 5 min self-selected active recovery. Three blood samples were tak

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8

Fay, Alex J., Ellen M. Mowry, Jonathan Strober, and Emmanuelle Waubant. "Relapse severity and recovery in early pediatric multiple sclerosis." Multiple Sclerosis Journal 18, no. 7 (2011): 1008–12. http://dx.doi.org/10.1177/1352458511431725.

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Background: Factors determining severity and recovery of early demyelinating events in pediatric multiple sclerosis (MS) patients are unknown. Objective: The objective of this study was to characterize the severity and recovery of early demyelinating events in pediatric MS. Methods: Multivariate logistic regression was performed to determine predictors of severe (versus mild/moderate) relapses and poor or fair (versus complete) recovery in patients aged 18 years or less with MS or clinically isolated syndrome (CIS). Results: Optic nerve involvement (OR 4.30, 95% CI 1.50–12.3, p = 0.007) was as

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9

Bailey, R., Z. Lu, S. Shirzadi, and E. Ziegel. "Analyzing Well Events To Increase Oil Recovery." Journal of Petroleum Technology 66, no. 08 (2014): 29–31. http://dx.doi.org/10.2118/0814-0029-jpt.

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10

Tinker, Jane E., and Jalie A. Tucker. "Environmental events surrounding natural recovery from obesity." Addictive Behaviors 22, no. 4 (1997): 571–75. http://dx.doi.org/10.1016/s0306-4603(97)00066-x.

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