The striking patterns of collective animal behavior, including ant trails, bird flocks, and fish schools, can result from local interactions among animals without centralized control. Several of these rules of interaction have been proposed, but it has proven difficult to discriminate which ones are implemented in nature. As a method to better discriminate among interaction rules, we propose to follow the slow birth of a rule of interaction during animal development. Specifically, we followed the development of zebrafish, , and found that larvae turn toward each other from 7 days postfertilization and increase the intensity of interactions until 3 weeks. This developmental dataset allows testing the parameter-free predictions of a simple rule in which animals attract each other part of the time, with attraction defined as turning toward another animal chosen at random. This rule makes each individual likely move to a high density of conspecifics, and moving groups naturally emerge. Development of attraction strength corresponds to an increase in the time spent in attraction behavior. Adults were found to follow the same attraction rule, suggesting a potential significance for adults of other species.
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http://dx.doi.org/10.1073/pnas.1616926114 | DOI Listing |
Gels
December 2024
Ufa Institute of Chemistry, Ufa Federal Research Center, Russian Academy of Sciences, 450054 Ufa, Russia.
The application of nanocomposites based on polyacrylamide hydrogels as well as silica nanoparticles in various tasks related to the petroleum industry has been rapidly developing in the last 10-15 years. Analysis of the literature has shown that the introduction of nanoparticles into hydrogels significantly increases their structural and mechanical characteristics and improves their thermal stability. Nanocomposites based on hydrogels are used in different technological processes of oil production: for conformance control, water shutoff in production wells, and well killing with loss circulation control.
View Article and Find Full Text PDFJ Phys Chem Lett
January 2025
University of Belgrade - Faculty of Physical Chemistry, Studentski trg 12-16, 11158 Belgrade, Serbia.
Single-atom catalysts (SACs) have attracted the attention of the scientific community due to a number of attractive properties allowing their application in different catalytic processes, including electrochemical ones. Due to the nature of the active site, consisting of only a few atoms, SACs are also very attractive for theoretical modeling as the active site can be directly translated into the computational model. However, as a rule, the possibility of the active site change induced by pH and electrode potential is disregarded in theoretical models.
View Article and Find Full Text PDFJ Air Waste Manag Assoc
December 2024
Air Quality Research Center, University of California, Davis, California, USA.
The IMPROVE program (Interagency Monitoring of PROtected Visual Environments) tracks long-term trends in the composition and optics of regional haze aerosols in the United States. The absorptance of red (633-nm) light is monitored by filter photometry of 24 h-integrated samples of fine particulate matter (PM 2.5).
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
College of Chemistry & Chemical Engineering, Shaanxi Key Laboratory of Chemical Reaction Engineering, Yan'an University, Yan'an, 716000, P. R. China.
The theoretical exploration of the super-chalcogen properties of multi-charged sandwich structures whose geometry simultaneously satisfyies the octet rule and Hückel's 4+2 rule is reported here a case study of dianion clusters [M(BCX)] (M = Be, Mg or Ca; X = H, F or Cl). The properties of these dianion clusters [M(BCX)] are close to or even superior to those of traditional clusters based on separate electron-counting rules, , the octet rule and Hückel's 4+2 rule. At the theoretical level of combined and DFT methods, these clusters, including halogen-substituents (F, Cl) are super-chalcogens due to their high first vertical electron detachment energy (FVDE), of which the largest value is 1.
View Article and Find Full Text PDFPeerJ Comput Sci
December 2024
Dipartimento di Scienze e Tecnologie, Università degli Studi di Napoli Parthenope, Naples, Italy.
In recent years, fuzzy rule-based systems have been attracting great interest in interpretable and eXplainable Artificial Intelligence as methods. These systems represent knowledge that humans can easily understand, but since they are not interpretable , they must remain simple and understandable, and the rule base must have a compactness property. This article presents an algorithm for minimizing the fuzzy rule base, leveraging rough set theory and a greedy strategy.
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