41 research outputs found
Change detection & Ensembles: Reply to Harrison et al., 2021
No full textThe project is run by Daniil Azarov, Daniil Grigorev, & Igor Utochki
Change detection & Ensembles: Reply to Harrison et al., 2021
No full textThe project is run by Daniil Azarov, Daniil Grigorev, & Igor Utochki
Kedrovyi Sor : la vie quotidienne dans un camp du goulag à l'époque stalinienne
No full textKedrovyi Sor: daily life in a Gulag camp during the Stalinist period, Oleg Azarov.
Our knowledge of the Soviet concentration camp universe is beginning to be nourished by direct access to archives. The author, a young Russian scholar, has been able to work on a rich collection of documents concerning the camp of Kedrovyi Sor, in the Pečora bassin. Through his study of the camp's administrative structure, its financial operation and its economic activities, and through an analysis of the inmates and their living conditions, he provides, almost in the raw, a concrete and precise description of the daily functioning of a Stalinist camp from the early 1930s to the 1950s.Azarov Oleg, Laurent Natacha. Kedrovyi Sor : la vie quotidienne dans un camp du goulag à l'époque stalinienne. In: Vingtième Siècle, revue d'histoire, n°43, juillet-septembre 1994. Dossier : Histoire au présent de la "political correctness" pp. 69-87
Stretching of the mechanical-geometric model and two common nonlinear elastic solids
No full textThe variety of hyperelastic materials and the design of new modifications and technical applications requires the development of a description of nonlinear deformation properties. The most commonly used constitutive relations of the Mooney-Rivlin and Yeoh models are based on polynomial decompositions. Mechanical-geometric modeling (hereinafter - MGM) is a new way of constructing constitutive relations and strain energy densities within the nonlinear theory of elasticity. In this paper, a comparison of the deformation behavior of MGM with the traditional Mooney-Rivlin and Yeoh models was carried out. Comparative analysis is accompanied by diagrams for uniaxial and biaxial stretching. The effectiveness of the new model was proved
Host range breadth of bacteriophages
No full textThe literature review aims at summarizing quantitative data on spotting and plaquing bacteriophage host ranges
Host range breadth of bacteriophages
No full textThe literature review aims at summarizing quantitative data on spotting and plaquing bacteriophage host ranges
Host range breadth of bacteriophages
No full textThe systematic literature review aims at summarizing quantitative data on spotting and plaquing bacteriophage host ranges on primary hosts. The host ranges covering more than one bacterial species are out of the scope
3D MECHANICAL MODEL FOR DESCRIPTION OF LARGE ELASTIC DEFORMATIONS UNDER UNIAXIAL TENSION
No full textA 3D mechanical model for description of large deformations of non-linear elastic bodies is offered. The model describes various types of anisotropy, such as orthotropic, transversely isotropic, as well as isotropic bodies. The case of uniaxial tension is considered. Two characteristics of the nonlinear material similar to the linear Young's modulus and Poisson's ratio are investigated. The inner-model parameters effecting material specifications are analyzed
3D MECHANICAL MODEL FOR DESCRIPTION OF LARGE ELASTIC DEFORMATIONS UNDER UNIAXIAL TENSION
No full textA 3D mechanical model for description of large deformations of non-linear elastic bodies is offered. The model describes various types of anisotropy, such as orthotropic, transversely isotropic, as well as isotropic bodies. The case of uniaxial tension is considered. Two characteristics of the nonlinear material similar to the linear Young's modulus and Poisson's ratio are investigated. The inner-model parameters effecting material specifications are analyzed
A signal-detection account of item-based and ensemble-based visual change detection: A reply to Harrison, McMaster, and Bays
No full textGrowing empirical evidence shows that ensemble information (e.g., the average feature or feature variance of a set of objects) affects visual working memory for individual items. Recently, Harrison, McMaster, and Bays (2021) used a change detection task to test whether observers explicitly rely on ensemble representations to improve their memory for individual objects. They found that sensitivity to simultaneous changes in all memorized items (which also entail changes in set summary statistics) rarely exceeded a level predicted by the so-called optimal summation model. This model implies simple integration of evidence for change from all individual items but without any additional evidence coming from ensemble. Here, we argue that performance at the optimal summation level does not rule out the use of ensemble information. First, in two experiments, we show that, even if evidence from only one item is available at test, the statistics of the whole memory set affect performance. Second, we argue that the optimal decision strategy described by Harrison et al. is at least partly ensemble-based, whereas a strictly item-based strategy (the so-called minimum rule) predicts much lower sensitivity that both our and Harrison et al. (2021)’s observers consistently outperformed. We conclude that observers can encode ensemble information into working memory and rely on it at test
