ON APPROACHES TO LONG-TERM PLANNING OF THE DEVELOPMENT OF A GAS-CONDENSATE PART OF THE PYAKYAKHINSKY DEPOSIT APPLYING AN INTEGRATED MODEL

2020 ◽  
pp. 5-10
Author(s):  
V.G. Zipir ◽  
◽  
M.G. Zipir ◽  
M.A. Zykov ◽  
K.E. Kordik ◽  
...  
2017 ◽  
Vol 31 (4) ◽  
pp. 401-418 ◽  
Author(s):  
Jonathan A. Jensen ◽  
T. Bettina Cornwell

With firms spending $60 billion on sponsorship annually, it has become an integral part of the marketing mix and is necessary for the survival of many sport organizations. Despite the importance of these partnerships, conditions that may jeopardize what can be a long-term relationship for both sides are underresearched. Utilizing survival analysis modeling to examine a longitudinal dataset of 69 global sponsorships, the purpose of this research is to isolate factors that predict the dissolution of such partnerships and test a dynamic, integrated model of sponsorship decision-making. From the perspective of the sponsoring firm, congruence and high levels of brand equity were found to reduce the hazard of dissolution. Results indicate that economic conditions, such as an inflationary economy, are a statistically significant predictor of sponsorship dissolution. Increased clutter was also detrimental, with every one sponsor added increasing the hazard of dissolution, demonstrating the importance of exclusivity in global sponsorships.


2019 ◽  
Author(s):  
Muratbek Aibazarov ◽  
Bakytzhan Kaliyev ◽  
Galymzhan Mutaliyev ◽  
Emanuele Vignati ◽  
Danila Gulyaev ◽  
...  

2016 ◽  
Vol 2016 (13) ◽  
pp. 1924-1936
Author(s):  
Gill E.J. ◽  
Benedetti L ◽  
H�nonin J ◽  
A Brink-Kj�r ◽  
P.E Nielsen

2005 ◽  
Author(s):  
Raul Osorio ◽  
George Stewart ◽  
Ali Danesh ◽  
D.H. Tehrani ◽  
Mahmoud Jamiolahmady

Plant Disease ◽  
2006 ◽  
Vol 90 (7) ◽  
pp. 840-846 ◽  
Author(s):  
Z. Pan ◽  
X. B. Yang ◽  
S. Pivonia ◽  
L. Xue ◽  
R. Pasken ◽  
...  

This special report demonstrates the feasibility of long-term prediction of intercontinental dispersal of Phakopsora pachyrhizi spores, the causal agent of the devastating Asian soybean rust (SBR) that invaded the continental United States in 2004. The climate-dispersion integrated model system used for the prediction is the combination of the particle transport and dispersion model (HYSPLIT_4) with the regional climate prediction model (MM5). The integrated model system predicts the trajectory and concentration of P. pachyrhizi spores based on three-dimensional wind advection and turbulent transport while incorporating simple viability criteria for aerial spores. The weather input of the model system is from a seasonal global climate prediction. The spore source strength and distribution were estimated from detected SBR disease severity and spread. The model system was applied to the known P. pachyrhizi spore dispersal between and within continents while focusing on the disease entry into the United States. Prediction validation using confirmed disease activity demonstrated that the model predicted the 2004 U.S. entry months in advance and reasonably forecast disease spread from the south coast states in the 2005 growing season. The model also simulated the dispersal from Africa to South America and from southern South America to Columbia across the equator. These validations indicate that the integrated model system, when furnished with detailed source distribution, can be a useful tool for P. pachyrhizi and possibly other airborne pathogen prediction.


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