Contribution to the special issue on reptile cognition: Pattern biases, but not positional cues, influence learning in the little brown skink, Scincella lateralis

Behaviour ◽  
2021 ◽  
pp. 1-23
Author(s):  
Mark A. Paulissen

Abstract Studies of many lizard species have established they are capable of learning to escape to one specific retreat out of several available retreats and will escape to it when subjected to a simulated predator attack. Recently, researchers have focused on the processes involved in learning, including what cues lizards use to learn to escape to a retreat. Previous work on the little brown skink lizard, Scincella lateralis, has shown that it is capable of learning to escape to a specific retreat when it has gained prior experience with its environment and that its performance is better when a retreat is associated with a vertical stripe local cue than when the retreat was associated with a horizontal stripe one. Here I report the results of two additional experiments undertaken to gain a better understanding of how little brown skinks react to cues in their environment. In Experiment 1, the positional cue test, I tested if little brown skinks could be trained to escape to a specific retreat when the only cue available was a positional cue that lizards could use to orient themselves by conducting a series of trials in which little brown skinks were trained to escape to the retreat to the left or the right of a vertical cylinder. Only 2 of the 16 (12.5%) little brown skinks met the learning criterion. This was not significantly different from what is expected if lizards chose their retreats at random suggesting little brown skinks are poor at learning when only a positional cue is available. In Experiment 2, the pattern bias test, I tested if the little brown skink’s superior performance learning to escape to a retreat with a vertical stripe cue in previous experiments was due to a bias for vertical stripes (or against horizontal stripes) through a series of trials in which little brown skinks had to choose between two escape retreats: one with a vertical stripe local cue and the other with a horizontal stripe local cue. A significant bias for the vertical stripe local cue retreat was found among 24 adults, but not among 12 neonates. These results suggest pattern bias among adult little brown skinks impacted the results of previous studies. The possibility that lizards may have biases for colours or shapes and that these biases may have an impact on learning studies is discussed.

2020 ◽  
Author(s):  
Elmira Zaynagutdinova ◽  
Karina Karenina ◽  
Andrey Giljov

Abstract Behavioural lateralization, which reflects the functional specializations of the two brain hemispheres, is assumed to play an important role in cooperative intraspecific interactions. However, there are few studies focused on the lateralization in cooperative behaviours of individuals, especially in a natural setting. In the present study, we investigated lateralized spatial interactions between the partners in life-long monogamous pairs. The male-female pairs of two geese species (barnacle, Branta leucopsis, and white-fronted, Anser albifrons geese), were observed during different stages of the annual cycle in a variety of conditions. In geese flocks, we recorded which visual hemifield (left/right) the following partner used to monitor the leading partner relevant to the type of behaviour and the disturbance factors. In a significant majority of pairs, the following bird viewed the leading partner with the left eye during routine behaviours such as resting and feeding in undisturbed conditions. This behavioural lateralization, implicating the right hemisphere processing, was consistent across the different aggregation sites and years of the study. In contrast, no significant bias was found in a variety of geese behaviours associated with enhanced disturbance (when alert on water, flying or fleeing away when disturbed, feeding during the hunting period, in urban area feeding and during moulting). We hypothesize that the increased demands for right hemisphere processing to deal with stressful and emergency situations may interfere with the manifestation of lateralization in social interactions.


Cells ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1012 ◽  
Author(s):  
Xuan ◽  
Pan ◽  
Zhang ◽  
Liu ◽  
Sun

Aberrant expressions of long non-coding RNAs (lncRNAs) are often associated with diseases and identification of disease-related lncRNAs is helpful for elucidating complex pathogenesis. Recent methods for predicting associations between lncRNAs and diseases integrate their pertinent heterogeneous data. However, they failed to deeply integrate topological information of heterogeneous network comprising lncRNAs, diseases, and miRNAs. We proposed a novel method based on the graph convolutional network and convolutional neural network, referred to as GCNLDA, to infer disease-related lncRNA candidates. The heterogeneous network containing the lncRNA, disease, and miRNA nodes, is constructed firstly. The embedding matrix of a lncRNA-disease node pair was constructed according to various biological premises about lncRNAs, diseases, and miRNAs. A new framework based on a graph convolutional network and a convolutional neural network was developed to learn network and local representations of the lncRNA-disease pair. On the left side of the framework, the autoencoder based on graph convolution deeply integrated topological information within the heterogeneous lncRNA-disease-miRNA network. Moreover, as different node features have discriminative contributions to the association prediction, an attention mechanism at node feature level is constructed. The left side learnt the network representation of the lncRNA-disease pair. The convolutional neural networks on the right side of the framework learnt the local representation of the lncRNA-disease pair by focusing on the similarities, associations, and interactions that are only related to the pair. Compared to several state-of-the-art prediction methods, GCNLDA had superior performance. Case studies on stomach cancer, osteosarcoma, and lung cancer confirmed that GCNLDA effectively discovers the potential lncRNA-disease associations.


Zootaxa ◽  
2012 ◽  
Vol 3436 (1) ◽  
pp. 1 ◽  
Author(s):  
TAKU OKAMOTO ◽  
TSUTOMU HIKIDA

A new species of scincid lizard allied to Plestiodon japonicus (Peters, 1864) was described as P. finitimus sp. nov., fromthe eastern part of Honshu and Hokkaido, Japan. A previous DNA study reported the taxonomic status of the easternJapanese populations of Plestiodon as an undescribed species on the basis of their collective genetic distinctness from aparapatric congener P. japonicus sensu strict from the western part of mainland Japan. We present the diagnostic featuresof P. finitimus compared to P. japonicus and P. latiscutatus Hallowell, 1861, the other parapatric species occurring in theIzu Peninsula and Izu Islands of central Japan, on the basis of morphological characteristics and DNA barcode patterns.Both P. finitimus and P. japonicus have a small postnasal and large anterior loreal that contacts the supralabials. In contrast,the Izu Peninsular populations of P. latiscutatus, which had no known diagnostic features relative to the other two species,usually have a large postnasal and small anterior loreal, with the latter separated from the supralabials by the former, ormay otherwise lack a postnasal. In most populations of P. finitimus, the right and left prefrontals are usually isolated fromeach other, whereas they exhibit medial contact in most populations of P. japonicus. Although all the above characters arevariable both within and between populations, 60–90% of the specimens from each locality on mainland Japan werecorrectly identified using a combination of these characters. Based on these characters, the Russian Far East populationof Plestiodon was also identified as P. finitimus. The interspecific sequence differences in the standard DNA barcoderegion (a 658 base pair fragment of the cytochrome c oxidase subunit I gene of mitochondrial DNA) were distinct, andeach of the three species was exclusively clustered in a neighbor-joining tree. The limited hybridization among the threespecies indicated by previous studies suggests that DNA barcodes could provide a reliable key for their correctidentification. The implications for the biogeography and speciation of the three parapatric lizard species are briefly discussed.


1989 ◽  
Vol 68 (3) ◽  
pp. 955-962 ◽  
Author(s):  
Heinz Krombholz

The connection between lateral dominance and force of handgrip was investigated by means of a repeated-measures design. 521 children participated. Performance on a paper-and-pencil task and force of handgrip were measured at the beginning of the first year at school and at the end of the first and of the second years at school. On the paper-and-pencil task 84% of the children were classified as right-handers, 8% as left-handers, and 8% as ambidexterous. About 2% of children classified as right-handers at the beginning of the first year at school were classified as left-handers at the end of the second year at school while 18% of left-handers shifted to right-handedness. 52% of children attained their best performance on handgrip with the right hand and 39% with the left hand. No differences could be found either for the right or for the left hand in force of handgrip between right- and left-handed and ambidexterous children. For right-handers, however, the more skilled hand showed superior performance in force of handgrip. These results indicate that left-handers are less strongly handed than right-handers.


2016 ◽  
Vol 26 (06) ◽  
pp. 1650022 ◽  
Author(s):  
Fangzhou Xu ◽  
Weidong Zhou ◽  
Yilin Zhen ◽  
Qi Yuan ◽  
Qi Wu

The feature extraction and classification of brain signal is very significant in brain–computer interface (BCI). In this study, we describe an algorithm for motor imagery (MI) classification of electrocorticogram (ECoG)-based BCI. The proposed approach employs multi-resolution fractal measures and local binary pattern (LBP) operators to form a combined feature for characterizing an ECoG epoch recording from the right hemisphere of the brain. A classifier is trained by using the gradient boosting in conjunction with ordinary least squares (OLS) method. The fractal intercept, lacunarity and LBP features are extracted to classify imagined movements of either the left small finger or the tongue. Experimental results on dataset I of BCI competition III demonstrate the superior performance of our method. The cross-validation accuracy and accuracy is 90.6% and 95%, respectively. Furthermore, the low computational burden of this method makes it a promising candidate for real-time BCI systems.


2013 ◽  
Vol 718-720 ◽  
pp. 2045-2049 ◽  
Author(s):  
Gwang Gil Jeon

This paper discusses the issue of color interpolation on vertical stripe patterned color filter array (CFA), which is a process known as demosaicking. The objective and subjective performance are studied, and the results are displayed in the simulation result section. It was found to give superior performance and the satisfactory quality.


Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3185
Author(s):  
Artur Karimov ◽  
Denis Butusov ◽  
Valery Andreev  ◽  
Erivelton G. Nepomuceno

While purely numerical methods for solving ordinary differential equations (ODE), e.g., Runge–Kutta methods, are easy to implement, solvers that utilize analytical derivations of the right-hand side of the ODE, such as the Taylor series method, outperform them in many cases. Nevertheless, the Taylor series method is not well-suited for stiff problems since it is explicit and not A-stable. In our paper, we present a numerical-analytical method based on the rational approximation of the ODE solution, which is naturally A- and A(α)-stable. We describe the rational approximation method and consider issues of order, stability, and adaptive step control. Finally, through examples, we prove the superior performance of the rational approximation method when solving highly stiff problems, comparing it with the Taylor series and Runge–Kutta methods of the same accuracy order.


2021 ◽  
Author(s):  
Ritu Mahajan ◽  
Abdul Selim ◽  
Neethu K M ◽  
Sandeep Sharma ◽  
Vijayakumar Shanmugam ◽  
...  

Conventional pesticide release pollutes the atmosphere and root healthiness threats. To daze its limitations, nanotechnology mediated pesticide delivery using various natural polymers have been actively investigated. However, the lack of information on what are the beneficial/non-beneficial aspects of using hybrid- and organic- nanoparticles (NP) and among the polysaccharides which are better suited concerning pesticide loading efficiency (PLE), entrapment efficiency (E.E), and sustained-pesticide-release (SPR) has prompted us to investigate this study. In this report, we systematically investigate a series of polysaccharides such as starch (S), cellulose (C), aminocellulose (AC) and sodium carboxymethylcellulose (NaCMC) coated on magnetite NP (MNP, Fe<sub>3</sub>O<sub>4</sub>) and complete organic nanocarrier systems (starch and cellulose) that have no MNP part were compared for the PLE and SPR efficiencies for chlorpyrifos (ChP) insecticide. Overall, all nanocarriers (NCs) have shown good to excellent PLE due to the smaller sized NP obtained through optimal conditions. However, among the hybrid polysaccharides studied, starch MNP (S-MNP) has shown a maximum PLE of 111 wt% in comparison with other polysaccharides (80 – 94 wt%) as well as with organic-NCs (81 – 87 wt%). The use of inorganic support does improve the PLE greatly for starch but not for cellulose derivatives. Similarly, the SPR results of S-NP showed remarkably better sustained-release-profile for ChP of 88 % in 14 days, whereas other unfunctionalized and functionalized celluloses exhibited poor release profiles of 60 – 20 % for the same period. These results indicate that the superior performance of starch might be due to the beta-1,4- & 1,6-linkages of sugar moieties leading to the branched polymers which bring more room for the pesticide to be entrapped and allow them to release in a sustainable manner. We believe that this study may help the researchers to choose the right system for designing and achieving enhanced pesticide efficiency.


Author(s):  
Michael P. Devereux ◽  
Alan J. Auerbach ◽  
Michael Keen ◽  
Paul Oosterhuis ◽  
Wolfgang Schön ◽  
...  

This chapter sets out our first detailed reform proposal: the Residual Profit Allocation by Income (RPAI). This is one of a family of schemes based on separating multinational profit into ‘routine’ and ‘residual’ profit, a distinction that exists under the current system. The RPAI allocates the right to tax routine profit to the country where functions and activities take place. It allocates the right to tax residual profit to the market, or destination, country where sales are made to third parties. We evaluate the RPAI against our five criteria. We conclude that while it is far from perfect, it performs well against these criteria. Its superior performance stems primarily from allocating taxing rights for residual profit to the destination country, where there is a relatively immobile third party purchaser of goods and services sold by the company.


Sign in / Sign up

Export Citation Format

Share Document