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Abstract

In the article there are presented results of the study of the state of user competencies for different specialties of the university digital educational environment (UDEE) on issues related to information security (IS). The methods of cluster analysis and analysis of digital (electronic) traces (DT) of users are used. On the basis of analyzing the DTs of different groups of registered users in the UDEE, 6 types of users are identified. These types of users were a result of applying hierarchical classification and k-means method. Users were divided into appropriate clusters according to the criteria affecting IS risks. For each cluster, the UDEE IS expert can determine the probability of occurrence of high IS risk incidents and, accordingly, measures can be taken to address the causes of such incidents. The algorithms proposed in this study enable research during log file analysis aimed at identifying breaches of information security within the university's DEE.
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Authors and Affiliations

Valerii Lakhno
1
Myroslav Lakhno
1
Kaiyrbek Makulov
2
Olena Kryvoruchko
3
Alona Desiatko
3
Vitalii Chubaievskyi
3
Dmytro Ishchuk
4
Viktoriya Kabylbekova
2

  1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  2. Caspian University of Technology and Engineering named after Sh.Yesenova, Almaty, Kazakhstan
  3. State University of Trade and Economics, Kyiv, Ukraine
  4. Zhytomyr Politechnic State University, Zhytomyr, Ukraine
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Abstract

Molecular motors are nature’s nanomachines, and are the essential agents of movement that are an integral part of many living organisms. The supramolecular machine, called the nuclear pore complex (NPC), controls the transport of all cellular material between the cytoplasm and the nucleus that occurs naturally in all biological cells. In the presence of appropriate chemical stimuli, the NPC opens or closes, like a gating mechanism, and permits the flow of material into and out of the nucleus. As a first step in understanding the design characteristics of the NPC, nanoscale studies were conducted to understand the transport characteristics of an idealized NPC model using CFD analysis, discrete element transport and coupled fluid-solid analysis. Results of pressure and velocity profiles obtained from the models indicate that the fluid density, flexibility of walls and the geometry of the flow passage are important in the design of NPC based nano- and micro-motors.

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Authors and Affiliations

R.M. Pidaparti
P.W. Longest
A.T. Hsu
H.U. Akay
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Abstract

The paper presents experimental results of creep and low cycle fatigue (LCF) tests carried out on the as-received cast aluminium alloys with different chemical composition and porosity. The test programmes contain creep investigations under step-increased stresses at different temperatures, and cyclic plasticity under different strain amplitudes and temperatures.

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Authors and Affiliations

Lech Dietrich
Agnieszka Rutecka
Zbigniew Kowalewski

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