Long-Range Vocal Interactions Between Groups of Gibbons (Hylobates Lar)

Behaviour ◽  
1985 ◽  
Vol 95 (1-2) ◽  
pp. 26-44 ◽  
Author(s):  
Jeremy J. Raemaekers ◽  
Patricia M. Raemaekers

AbstractWe report on long-range duet interactions among twelve wild groups of lar gibbons (Hylobates lar) in Thailand. Statistical analysis demonstrates that groups were more likely to respond with an answering duet to a duet sung by a neighbouring group than to one sung by a non-neighbouring group in the population. A distinctive pattern of response among neighbours was to wait until a neighbouring group had finished its duet before immediately answering with a duet, resulting in avoidance of overlap between the two duets. Non-neighbours did not exhibit this pattern. The effect is shown to be due solely to neighbour status and not to the degree of mutual audibility of the duets. There was no evidence that, when duets overlapped, the first group to sing modified the length of its duet in response to the second duet, whether given by a neighbour or by a non-neighbour. In general, among those groups which responded to one another's duets, there were no identifiable leaders and followers: the order of duetting groups was random. We discuss why neighbours interact more by duet than do non-neighbours, and consider what may be the functions of avoiding overlap of duets.

2000 ◽  
Vol 40 (supplement) ◽  
pp. S68 ◽  
Author(s):  
A. Fukushima ◽  
M. Kinouchi ◽  
Y. Kudo ◽  
S. Kanaya

2019 ◽  
Author(s):  
Hanna Kranas ◽  
Irina Tuszyńska ◽  
Bartek Wilczynski

Computational analysis of chromosomal capture data is currently gaining popularity with the rapid advance in experimental techniques providing access to growing body of data. An important problem in this area is the identification of long-range contacts be- tween distinct chromatin regions. Such loops were shown to exist at different scales, either mediating interactions between enhancers and promoters or providing much longer interactions between functionally interacting distant chromosome domains. A proper statistical analysis is crucial for accurate identification of such interactions from experi- mental data. We present HiCEnterprise, a software tool for identification of long-range chromatin contacts. It implements three different sta- tistical tests for identification of significant contacts at different scales as well as necessary functions for input, output and visualization of chromosome contact matrices.


Author(s):  
Д.А. Тихонов ◽  
D.A. Tikhonov

The statistical analysis of interhelical distances in pairs of connected α-helices found in known proteins has been performed. In accordance with the certain rules, a database of the pairs found in the Protein Data Bank has been compiled. This set was subdivided into three subsets according to criterion of crossing helix projections on the parallel plane passing through the axis of the helix. It was shown that the distribution of distances between the pairs of helices whose projections are not crossed has a more long-range nature than those whose projections are overlapped. Using the regression analysis the nature of distributions is investigated. In particular, it is shown that the distributions of interhelical distances in the subset of pairs of helices without intersections belong to the gamma distributions. It is also shown that the subset of the pairs with crossing projections have a smaller ratio of the minimal distance between the helical axes to the interplanar distance that is contrast to the set without crossing projections. It was concluded that the helical pairs with crossing projections are additionally stabilized by internal interactions.


2009 ◽  
Vol 23 (28n29) ◽  
pp. 5483-5491 ◽  
Author(s):  
LUCA SORRISO-VALVO ◽  
VINCENZO CARBONE ◽  
MICHAEL BOURGOIN ◽  
PHILIPPE ODIER ◽  
NICOLAS PLIHON ◽  
...  

Statistical properties of the temporal distribution of polarity reversals of the geomagnetic field are commonly assumed to be a realization of a renewal Poisson process with a variable rate. However, it has been recently shown that the polarity reversals strongly depart from a local Poisson statistics, because of temporal clustering. Such clustering arises from the presence of long-range correlations in the underlying dynamo process. Recently achieved laboratory dynamo also shows reversals. It is shown here that laboratory and paleomagnetic data are both characterized by the presence of long-range correlations.


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