scholarly journals A Study on the Space-Time Dynamic of Global Avian Influenza and Relationship with Bird Migration

2009 ◽  
Vol 3 (2) ◽  
Author(s):  
Gennian Sun ◽  
Huanhuan Yang
Keyword(s):  
Avian Influenza ◽  
Bird Migration ◽  
Space Time ◽  
Time Dynamic

Space–Time Dynamic Signature Assignment for the Reverse Link of DS-CDMA Systems

2004 ◽  
Vol 52 (1) ◽  
pp. 120-129 ◽  
Author(s):  
J.-T. Chen ◽  
C. Papadias ◽  
G.J. Foschini
Keyword(s):  
Space Time ◽  
Reverse Link ◽  
Time Dynamic ◽  
Cdma Systems ◽  
Dynamic Signature

ON PATTERNS IN AFFECTIVE MEDIA

2003 ◽  
Vol 14 (05) ◽  
pp. 673-687 ◽  
Author(s):  
ANDREW ADAMATZKY
Keyword(s):  
Cellular Automaton ◽  
Emotional Abuse ◽  
Chemical Species ◽  
Space Time ◽  
Computational Experiments ◽  
Promising Technique ◽  
Temporal Dynamic ◽  
Time Dynamic ◽  
Spatio Temporal

In computational experiments with cellular automaton models of affective solutions, where chemical species represent happiness, anger, fear, confusion and sadness, we study phenomena of space–time dynamic of emotions. We demonstrate feasibility of the affective solution paradigm in example of emotional abuse therapy. Results outlined in the present paper offer unconventional but promising technique to design, analyze and interpret spatio-temporal dynamic of mass moods in crowds.

scholarly journals Space-time-dynamic model of passively phased ring-geometry fiber laser array

2010 ◽  
Author(s):  
E. Bochove ◽  
A. Aceves ◽  
R. Deiterding ◽  
L. Crabtree ◽  
Y. Braiman ◽  
...  
Keyword(s):  
Fiber Laser ◽  
Dynamic Model ◽  
Space Time ◽  
Laser Array ◽  
Time Dynamic ◽  
Ring Geometry

scholarly journals Modern application and prospects of the stable isotopes  method for studying avian influenza A virus transmission   in migratory birds

2019 ◽  
Vol 14 (3) ◽  
pp. 92-100
Author(s):  
O. R. Druzyaka ◽  
A. V. Druzyaka ◽  
M. A. Gulyaeva ◽  
F. Huettmann ◽  
A. M. Shestopalov
Keyword(s):  
Stable Isotopes ◽  
Avian Influenza ◽  
Influenza A Virus ◽  
Influenza A ◽  
Bird Migration ◽  
Migratory Birds ◽  
Influenza Viruses ◽  
Migration Routes ◽  
Viral Pathogen ◽  
Avian Influenza A Virus

Aim. The circulation and transmission of pathogens is a global biological phenomenon that is closely associated with bird migration. This analysis was carried out with  the aim of understanding and assessing the prospects of using the stable isotope  method to study the circulation and transmission of the avian influenza A virus via  migratory birds. Discussion. Insufficient data on the distances of migration of infected birds and their  interpopulational relationships leaves open the question of the transmission of highly pathogenic influenza viruses (HSV) in the wild bird population. A deeper study of  the role of migrations in the spread of HSV may possibly allow the more effective  investigation of the transmission of the viral pathogen between individuals at migration stopover sites and the clarification of global migration routes. New methodological approaches are providing a more complete picture of the geography and phenology of migrations, as well as of the consequences of migratory behavior for species biology. The study of the quantitative component of migratory flows based on  the analysis of the content of stable isotopes (SIMS) in bird tissues seems very promising. This method is being applied to the solution of various environmental issues,  including the study of animal migrations.   Conclusion. Based on data from the scientific literature, it is shown that SIMS is  promising for the clarification of bird migration routes and the quantification of their  intensity. The resolving power of the method is sufficient to determine the migration  pathways of carriers of viral pathogens on the scale of zoogeographic subdomains  and in even further detail. However, to date, there have been few such studies: in  Russia they have not been conducted at all. The increased use of the SIMS methodology may possibly reveal new ways in which viral infections are spread via birds.  

scholarly journals Transatlantic spread of highly pathogenic avian influenza H5N1 by wild birds from Europe to North America in 2021

2022 ◽  
Author(s):  
Valentina Caliendo ◽  
Nicola S Lewis ◽  
Anne Pohlmann ◽  
Jonas Waldenstrom ◽  
Marielle van Toor ◽  
...  
Keyword(s):  
North America ◽  
Avian Influenza ◽  
Newfoundland And Labrador ◽  
Wild Bird ◽  
Bird Migration ◽  
Highly Pathogenic Avian Influenza ◽  
Highly Pathogenic ◽  
Pathogenic Avian Influenza ◽  
Influenza H5n1 ◽  
H5n1 Hpai

Highly pathogenic avian influenza (HPAI) viruses of the A/Goose/Guangdong/1/1996 lineage (GsGd), which threaten the health of poultry, wildlife and humans, are spreading across Asia, Europe and Africa, but are currently absent from Oceania and the Americas. In December 2021, H5N1 HPAI viruses were detected in poultry and a free-living gull in St. John, Newfoundland and Labrador, Canada. Phylogenetic analysis showed that these viruses were most closely related to HPAI GsGd viruses circulating in northwestern Europe in spring 2021. Analysis of wild bird migration suggested that these viruses may have been carried across the Atlantic via Iceland, Greenland/Arctic or pelagic routes. The here documented incursion of HPAI GsGd viruses into North America raises concern for further virus spread across the Americas by wild bird migration.

Adaptability and Homeostasis in the Game of Life interacting with the evolved Cellular Automata

2012 ◽  
pp. 232-254
Author(s):  
Keisuke Suzuki ◽  
Takashi Ikegami
Keyword(s):  
Genetic Algorithm ◽  
Cellular Automata ◽  
Space Time ◽  
Layer System ◽  
Game Of Life ◽  
Time Dynamic ◽  
State 1 ◽  
Number Of Cells

In this paper, the authors study the emergence of homeostasis in a two-layer system of the Game of Life, in which the Game of Life in the first layer couples with another system of cellular automata in the second layer. Homeostasis is defined as a space-time dynamic that regulates the number of cells in state-1 in the Game of Life layer. A genetic algorithm is used to evolve the rules of the second layer to control the pattern of the Game of Life. The authors found that two antagonistic attractors control the numbers of cells in state-1 in the first layer. The homeostasis sustained by these attractors is compared with the homeostatic dynamics observed in Daisy World.

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