A Multi-level Monitoring Framework for Stream-Based Coordination Programs

Author(s):  
Vu Thien Nga Nguyen ◽  
Raimund Kirner ◽  
Frank Penczek
2011 ◽  
Vol 8 (5) ◽  
pp. 689-691 ◽  
Author(s):  
Jordi Martínez-Vilalta ◽  
Francisco Lloret ◽  
David D. Breshears

A large number of episodes of forest mortality associated with drought and heat stress have been detected worldwide in recent decades, suggesting that some of the world's forested ecosystems may be already responding to climate change. Here, we summarize a special session titled ‘Drought-induced forest decline: causes, scope and implications’ within the 12th European Ecological Federation Congress, held in Ávila (Spain) from 25 to 29 September 2011. The session focused on the interacting causes and impacts of die-off episodes at the community and ecosystem levels, and highlighted recent events of drought- and heat-related tree decline, advances in understanding mechanisms and in predicting mortality events, and diverse consequences of forest decline. Talks and subsequent discussion noted a potentially important role of carbon that may be interrelated with plant hydraulics in the multi-faceted process leading to drought-induced mortality; a substantial and yet understudied capacity of many forests to cope with extreme climatic events; and the difficulty of separating climate effects from other anthropogenic changes currently shaping forest dynamics in many regions of the Earth. The need for standard protocols and multi-level monitoring programmes to track the spatio-temporal scope of forest decline globally was emphasized as critical for addressing this emerging environmental issue.


Author(s):  
T. F. Stepanova

Aim. Evaluate the effectiveness of the developed new approach to the analysis of the activity of the epidemic process and the effectiveness of the prevention of parasitic diseases, based on a multi-level monitoring system. Materials and methods. The data of official statistical observation for 2010-2016 are analyzed for all subjects of the Russian Federation. To search for the regularities in large volumes of data, Data Mining is used. Results. The analysis made it possible to characterize the activity of the epidemic process of parasitic diseases in the territory of Russia. Application of methods of mathematical modeling allowed to form a prognosis of morbidity/affection by the results of sanitary-parasitological studies. The regions in which the inadequate quality of sanitary-parasitological studies led to discrepancies between actual and predicted lesions were identified. Conclusion. The conducted study made it possible to establish that the developed approach is effective for assessing the activity of the epidemic process and the effectiveness of preventing parasitic diseases, structuring statistical information by regions and nosologies, identifying trends in morbidity, and developing regional prevention programs.


2020 ◽  
Vol 167 ◽  
pp. 54-70
Author(s):  
Shisong Cao ◽  
Mingyi Du ◽  
Wenji Zhao ◽  
Yungang Hu ◽  
You Mo ◽  
...  

Author(s):  
Adrian Mos ◽  
Carlos Pedrinaci ◽  
Guillermo Alvaro Rey ◽  
Jose Manuel Gomez ◽  
Dong Liu ◽  
...  
Keyword(s):  

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