scholarly journals Synchronization of Extended Chaotic Systems with Long-Range Interactions: An Analogy to Lévy-Flight Spreading of Epidemics

2006 ◽  
Vol 97 (22) ◽  
Author(s):  
Claudio Juan Tessone ◽  
Massimo Cencini ◽  
Alessandro Torcini
2020 ◽  
Vol 124 (18) ◽  
Author(s):  
Tianci Zhou ◽  
Shenglong Xu ◽  
Xiao Chen ◽  
Andrew Guo ◽  
Brian Swingle

Author(s):  
Maria P. Beccar-Varela ◽  
Hector Gonzalez-Huizar ◽  
Maria C. Mariani ◽  
Laura F. Serpa ◽  
Osei K. Tweneboah

2016 ◽  
Vol 173 (7) ◽  
pp. 2257-2266 ◽  
Author(s):  
Maria P. Beccar-Varela ◽  
Hector Gonzalez-Huizar ◽  
Maria C. Mariani ◽  
Laura F. Serpa ◽  
Osei K. Tweneboah

2001 ◽  
Vol 64 (4) ◽  
Author(s):  
Elena N. Govorun ◽  
Victor A. Ivanov ◽  
Alexei R. Khokhlov ◽  
Pavel G. Khalatur ◽  
Alexander L. Borovinsky ◽  
...  

2019 ◽  
Vol 12 (4) ◽  
pp. 329-337 ◽  
Author(s):  
Venubabu Rachapudi ◽  
Golagani Lavanya Devi

Background: An efficient feature selection method for Histopathological image classification plays an important role to eliminate irrelevant and redundant features. Therefore, this paper proposes a new levy flight salp swarm optimizer based feature selection method. Methods: The proposed levy flight salp swarm optimizer based feature selection method uses the levy flight steps for each follower salp to deviate them from local optima. The best solution returns the relevant and non-redundant features, which are fed to different classifiers for efficient and robust image classification. Results: The efficiency of the proposed levy flight salp swarm optimizer has been verified on 20 benchmark functions. The anticipated scheme beats the other considered meta-heuristic approaches. Furthermore, the anticipated feature selection method has shown better reduction in SURF features than other considered methods and performed well for histopathological image classification. Conclusion: This paper proposes an efficient levy flight salp Swarm Optimizer by modifying the step size of follower salp. The proposed modification reduces the chances of sticking into local optima. Furthermore, levy flight salp Swarm Optimizer has been utilized in the selection of optimum features from SURF features for the histopathological image classification. The simulation results validate that proposed method provides optimal values and high classification performance in comparison to other methods.


Biomolecules ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 371
Author(s):  
Koua

The Mn4CaO5 cluster site in the oxygen-evolving complex (OEC) of photosystem II (PSII) undergoes structural perturbations, such as those induced by Ca2+/Sr2+ exchanges or Ca/Mn removal. These changes have been known to induce long-range positive shifts (between +30 and +150 mV) in the redox potential of the primary quinone electron acceptor plastoquinone A (QA), which is located 40 Å from the OEC. To further investigate these effects, we reanalyzed the crystal structure of Sr-PSII resolved at 2.1 Å and compared it with the native Ca-PSII resolved at 1.9 Å. Here, we focus on the acceptor site and report the possible long-range interactions between the donor, Mn4Ca(Sr)O5 cluster, and acceptor sites.


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