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Journal articles on the topic 'Interaction system'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 May 2022

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1

Jahangirova, S. K., Sh H. Mammadov, G. R. Gurbanov, and O. M. Aliyev. "INTERACTION IN THE SYSTEM CuGaS2–PbGa2S4." Azerbaijan Chemical Journal, no. 1 (March 19, 2019): 46–49. http://dx.doi.org/10.32737/0005-2531-2019-1-46-49.

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2

Ahmadov, E. J. "PHYSICO-CHEMICAL INTERACTION IN THE BiSI–BiTeI SYSTEM." Azerbaijan Chemical Journal, no. 1 (March 12, 2020): 36–40. http://dx.doi.org/10.32737/0005-2531-2020-1-36-40.

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3

Ahmadov, E. J. "PHYSICO-CHEMICAL INTERACTION IN THE SbTeI−Bi2Te3 SYSTEM." Azerbaijan Chemical Journal, no. 3 (October 2, 2020): 46–49. http://dx.doi.org/10.32737/0005-2531-2020-3-46-49.

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4

EZAWA, Z. F., and A. IWAZAKI. "DERIVATION OF LAUGHLIN'S WAVEFUNCTION IN ANYON SYSTEM." Modern Physics Letters B 06, no. 12 (May 20, 1992): 737–45. http://dx.doi.org/10.1142/s0217984992000818.

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In a semiclassical approximation we derive the ground-state wavefunction of the system of anyons in an external magnetic field, where anyons are interacting via the Coulomb interaction. The statistical interactions are treated in perturbation around the boson limit. The wavefunction coincides with the Laughlin wavefunction except for small corrections due to the Coulomb interaction. We also calculate the ground-state energy and the excitation spectrum.

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HAYASHI, YOSHIHARU, MIME KOBAYASHI, KATSUYOSHI SAKAGUCHI, NAO IWATA, MASAKI KOBAYASHI, YO KIKUCHI, and YOSHIMASA TAKAHASHI. "PROTEIN CLASSIFICATION USING COMPARATIVE MOLECULAR INTERACTION PROFILE ANALYSIS SYSTEM." Journal of Bioinformatics and Computational Biology 02, no. 03 (September 2004): 497–510. http://dx.doi.org/10.1142/s0219720004000703.

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We recently introduced a new molecular description factor, interaction profile Factor (IPF) that is useful for evaluating molecular interactions. IPF is a data set of interaction energies calculated by the Comparative Molecular Interaction Profile Analysis system (CoMIPA). CoMIPA utilizes AutoDock 3.0 docking program, and the system has shown to be a powerful tool in clustering the interacting properties between small molecules and proteins. In this report, we describe the application of CoMIPA for protein clustering. A sample set of 15 proteins that share less than 20% homology and have no common functional motifs in primary structure were chosen. Using CoMIPA, we were able to cluster proteins that bound to the same small molecule. Other structural homology-based clustering programs such as PSI-BLAST or PFAM were unable to achieve the same classification. The results are striking because it is difficult to find any common features in the active sites of these proteins that share the same ligand. CoMIPA adds new dimensions for protein classification and has the potential to be a helpful tool in predicting and analyzing molecular interactions.

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6

Abdoli, Shiva, Sami Kara, and Michael Hauschild. "System interaction, System of Systems, and environmental impact of products." CIRP Annals 68, no. 1 (2019): 17–20. http://dx.doi.org/10.1016/j.cirp.2019.04.051.

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7

Vorovka, Volodymyr. "System-forming factors of the organization of coastal paradynamic landscape systems." Physical Geography and Geomorphology 89, no. 1 (2018): 60–69. http://dx.doi.org/10.17721/phgg.2018.1.09.

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The basis of system-forming factors of the organization of coastal paradynamic landscape system is composed of natural factors associated with characteristics of geographic distribution of the coast, its configuration, tectonic, morphometric, hydrological, climatic and other indices, along with characteristics of the surrounding land. Paradynamic interactions are formed on the basis of exchange of matter, energy and information between spatially adjacent contrasting complexes. The main system-forming factor of the coastal paradynamic landscape system is the relationship of its structural complexes with various types of spatial dynamics and corresponding processes, distinguished into three main streams - matter, energy and information, caused by the simultaneous interaction of the atmosphere, hydrosphere, lithosphere, biosphere and their specificity. A complex nature of the interaction between natural landscape complexes and their components among themselves in the coastal zone was revealed. Characteristics of the horizontal interaction between marine waters and the surrounding land, river mouth and adjacent sea area, interactions in the system "sea-river-liman" were found out. Main processes of the vertical interaction between the environments were revealed: the land and sea, air and water, bottom layers of water and the bottom itself. The principal scheme of energy flows in the coastal zone was developed. The paradynamic interaction is based on the exchange of matter, energy and information between spatially adjacent contrasting systems. The importance of this type of research is explained by the need to take into account the revealed interactions for the formation of effective system of integrated management of the coastal zone to ensure further optimization of its structure and functioning.

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8

Hawkins, Melissa, and Chris James. "Developing a perspective on schools as complex, evolving, loosely linking systems." Educational Management Administration & Leadership 46, no. 5 (June 1, 2017): 729–48. http://dx.doi.org/10.1177/1741143217711192.

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The rationale for this article is to give complexity the central place it warrants in school leadership, management and organisational practice and research. We analyse the relevant literature, particularly that relating to complex human systems and their loose coupling nature. The analysis reveals the dimensions of complex human systems and consequences that emanate from those dimensions, which include system evolution. We use the dimensions, together with notions of interactional capability, opportunities for interaction, the legitimacy of interactions and the extent to which the institutional primary task conditions interactions, to create an organisational/institutional perspective on schools as complex, evolving, loosely linking systems (CELLS). Five main systems of a school as a whole-school system are identified: the teaching staff system; the ancillary staff system; the student system; the parent system; and significant other systems in the wider system. In the article, we illustrate the nature of the teaching staff system from a CELLS perspective. We discuss issues arising from our analyses: interaction, influence and leadership; ontological issues; the nature of ‘the school’; the significance of the parent system; the special nature of interactions between the members of the teaching staff system and the student system; and institutional performance.

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9

Aliev, I. I., M. G. Shakhbazov, and S. Sh Ismailova. "CHEMICAL INTERACTION AND GLASS FORMATION IN THE As2S3-CuCr2Te4 SYSTEM." Chemical Problems 18, no. 3 (2020): 376–81. http://dx.doi.org/10.32737/2221-8688-2020-3-376-381.

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10

Mahini, Seyfali. "Expert –System: A Web-Based System for Patient Specific Drug Interaction Testing." South Asian Research Journal of Applied Medical Sciences 4, no. 2 (April 30, 2022): 7–9. http://dx.doi.org/10.36346/sarjams.2022.v04i02.001.

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The information system presented in this article makes drug selection easier and indicates possible interactions with existing medication. In the event of an interaction with multiple medication, the consumer is specifically warned. In addition, special algorithms determine alternative drugs with the same effect in order to avoid the undesired interaction.

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11

Provornaya, Daria, and Sergey Glushkov. "Vehicle-bridge interaction system." MATEC Web of Conferences 239 (2018): 05004. http://dx.doi.org/10.1051/matecconf/201823905004.

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One of the problems in high-speed railways is the influence and vibrations of bridges caused by moving trains. This problem significantly differs from the problems of road bridges for the following reasons. Firstly, the loads caused by the moving train on the bridge are repeated in nature, as a consecutively rotating loads (wheel), implying that certain frequencies will be caused on the bridge during the passage of the train. In contrast, the loads implied on the road are random in nature, expressed through wheel loads and the distance between the wheels. Secondly, high-speed trains can move at a speed much higher than vehicles moving along the road, which makes it possible for the excitation frequency to coincide with the oscillation frequencies of the bridge, which leads to the so-called resonance effect. Whenever the resonance condition is reached, the reaction of the bridge will be constantly amplified, since there are heavy moving loads passing through the bridge. This effect could hardly be observed on road bridges. Thirdly, the mass ratio of vehicles on the bridge is usually larger due to the fact that the train consists of several coupled cars and the railway track is relatively narrow, it has no more than two tracks in most cases. In contrast, a road bridge may be so large that it can afford four or more lanes for vehicles moving in the opposite direction. For this reason, the interaction between moving vehicles causes a greater reaction for the road bridge than for the railways.

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12

OTA, Koichi. "Interaction of root system." Root Research 3, no. 2 (1994): 54–57. http://dx.doi.org/10.3117/rootres.3.54.

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13

Młynarek, Jacek, J. BogumiłLewandowski, AndréL Rollin, and Gilles Bolduc. "Soil-geotextile system interaction." Geotextiles and Geomembranes 10, no. 2 (January 1991): 161–76. http://dx.doi.org/10.1016/0266-1144(91)90027-t.

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14

Holdaway, Ken, and Nigel Bevan. "User system interaction standards." Computer Communications 12, no. 2 (April 1989): 97–101. http://dx.doi.org/10.1016/0140-3664(89)90064-9.

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15

Li, Zhixiong. "Robust global sliding model control for water-hull-propulsion unit interaction systems - Part 1: System boundary identification." Tehnicki vjesnik - Technical Gazette 22, no. 1 (2015): 209–15. http://dx.doi.org/10.17559/tv-20141208054126.

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16

Golemis, Erica A., Ilya Serebriiskii, Jeno Gyuris, and Roger Brent. "Interaction Trap/Two-Hybrid System to Identify Interacting Proteins." Current Protocols in Neuroscience 00, no. 1 (September 1997): 4.4.1–4.4.36. http://dx.doi.org/10.1002/0471142301.ns0404s00.

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17

Golemis, Erica A., Ilya Serebriiskii, Russell L. Finley, Mikhail G. Kolonin hunt by interaction mating, Jeno Gyuris, and Roger Brent. "Interaction Trap/Two-Hybrid System to Identify Interacting Proteins." Current Protocols in Molecular Biology 46, no. 1 (April 1999): 20.1.1–20.1.40. http://dx.doi.org/10.1002/0471142727.mb2001s46.

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18

Ilyasly, T. M., A. G. Khudiyeva, I. I. Aliyev, and M. G. Shakhbazov. "CHARACTER OF INTERACTION AND GLASS FORMATION IN THE AsSe–NdAs2Se4 SYSTEM." Azerbaijan Chemical Journal, no. 1 (March 19, 2019): 50–53. http://dx.doi.org/10.32737/0005-2531-2019-1-50-53.

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19

Bielik, Valerii, Yuriy Morozov, and Mykola Morozov. "Sensors in Cyber-Physical Systems Based on Android Operating System." Advances in Cyber-Physical Systems 6, no. 2 (December 17, 2021): 83–89. http://dx.doi.org/10.23939/acps2021.02.083.

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The cyber-physical systems take the major part of any system that help users to interact with environment processes. Cyber-physical systems are intelligent systems, which include networks of physical and computing components that interact on internal level. The basis for the development of various models of cyber-physical systems are the using of measuring instruments and their software. Measuring instruments are necessary to control technological parameters processes and the environment. The purpose was to investigate the features of interaction with sensors, to identify the most useful of them in use, to classify types and describe their capabilities for future use in developing of cyber-physical systems. The relevance of the choice of this topic is that mobile and cyber-physical systems occupy a significant place in modern life. The systems that help the user to simplify daily tasks are of maximum benefit. These tasks can be attributed to the tasks of the environment as they exist and are performed in it. Especially cyber-physical systems that interact with the environment have the ability to solve such problems. Sensors act as a tool of interaction, the so-called bridge between the environment and the program. Sensors collect and provide information for further processing and use in solving problems.

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20

FERNÁNDEZ, MARIBEL. "Type assignment and termination of interaction nets." Mathematical Structures in Computer Science 8, no. 6 (December 1998): 593–636. http://dx.doi.org/10.1017/s0960129598002679.

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Interaction nets have proved to be a useful tool for the study of computational aspects of various formalisms (e.g. λ-calculus, term rewriting systems), but they are also a programming paradigm in themselves, and this is actually how they were introduced by Lafont. In this paper we consider semi-simple interaction nets as a programming language, and present a type assignment system using intersection types. First we show that interactions preserve types (i.e., the system enjoys subject reduction), and we compare this type assignment system with the intersection systems for λ-calculus and term rewriting systems. Then we define a recursion scheme that ensures termination of all interaction sequences. By relaxing the scheme and using the type assignment system, we derive another sufficient condition for termination of interaction nets. Finally, we show that although the type system based on general intersection types is not decidable, its restriction to rank 2 types is, and we give an algorithm that computes principal types for nets.

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21

YAMAMOTO, Yoshinobu, and Yuichiro ANZAI. "Special issue Ergonomics of human-system interaction. Pleasant interaction." Japanese journal of ergonomics 30, no. 1 (1994): 15–25. http://dx.doi.org/10.5100/jje.30.15.

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22

Kahan, Alan, Thomás Fogarty, Jing Li, and Thomas Busch. "Driving Interactions Efficiently in a Composite Few-Body System." Universe 5, no. 10 (October 7, 2019): 207. http://dx.doi.org/10.3390/universe5100207.

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We study how to efficiently control an interacting few-body system consisting of three harmonically trapped bosons. Specifically, we investigate the process of modulating the inter-particle interactions to drive an initially non-interacting state to a strongly interacting one, which is an eigenstate of a chosen Hamiltonian. We also show that for unbalanced subsystems, where one can individually control the different inter- and intra-species interactions, complex dynamics originate when the symmetry of the ground state is broken by phase separation. However, as driving the dynamics too quickly can result in unwanted excitations of the final state, we optimize the driven processes using shortcuts to adiabaticity, which are designed to reduce these excitations at the end of the interaction ramp, ensuring that the target eigenstate is reached.

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23

DING, HANQIN, and JUN ZHANG. "EFFECT OF CORRELATED-HOPPING INTERACTION ON A ONE-DIMENSIONAL EXTENDED HUBBARD MODEL WITH SPIN-EXCHANGE INTERACTION." Modern Physics Letters B 26, no. 07 (March 20, 2012): 1150044. http://dx.doi.org/10.1142/s0217984911500448.

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By using the field-theoretical techniques combining bosonization with renormalization group, we study a one-dimensional (1D) model of interacting electrons with on-site repulsion (U > 0), nearest-neighbor (nn) exchange (J) and correlated-hopping (t2, t3) interactions at weak coupling. In the case of a half-filled band, the two-body interaction t2 does not influence phase diagram of the model, while the presence of three-body interaction t3 makes the physics of the system highly non-trivial. By a Hartree–Fock decoupling, the effects of t3 bring about hopping of pairs, V-like (nn Coulomb interaction) and isotropic exchange terms in the reduced model Hamiltonian. Interestingly, a negative t3 provides a possibility for the occurrence of the triplet superconductivity in 1D system with purely repulsive interactions (U, J > 0). The ground state phase diagram including the insulating and superconducting phases is discussed analytically.

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24

Retnoningsih, Endang, and Ari Nurul Alfian. "Human Computer Interaction Pengelolaan Open Journal Systems berbasis Interaction Framework." BINA INSANI ICT JOURNAL 7, no. 1 (June 28, 2020): 95. http://dx.doi.org/10.51211/biict.v7i1.1338.

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Abstrak: Open Journal Systems (OJS) adalah aplikasi perangkat lunak open source untuk mengelola dan menerbitkan jurnal ilmiah, untuk mendukung fungsinya tersebut Open Journal Systems (OJS) secara umum memiliki fitur yang dalam perkembangan setiap versinya mengalami perbaikan dan penyesuaian dengan kebutuhan. Proses penerbitan jurnal sangat berdampak pada proses akreditasi jurnal, oleh karena itu perlu dipahami proses bisnis alur pengiriman artikel dari author menggunakan Open Journal Systems (OJS) hingga artikel di publish. Dalam sistem diperlukan pemodelan perencanaan, desain dan penggunaan interface antara pengguna dan komputer, interaksi ini dikenal sebagai interaksi antara manusia dengan komputer (Human Computer Interaction). Framework digunakan untuk memahami interaksi sistem komputer memberikan fasilitas bahasa antara bahasa user dan bahasa sistem. Pengguna (user) dan sistem komputer (system) dapat saling berinteraksi menggunakan beberapa cara interaksi yaitu style kombinasi form fill-in dan direct manipulation. Open Journal Systems (OJS) 3.x. memiliki tampilan yang lebih ringkas, mudah dan flexible karena dibangun dengan prinsip Interaction Framework melibatkan user, input, system, output. Kata kunci: framework, HCI, jurnal, OJS, PKP Abstract: Open Journal Systems (OJS) is an open source software application to manage and publish scientific journals, to support this function Open Journal Systems (OJS) generally has features that in each version's development experience improvements and adjustments to the needs. The process of publishing a journal greatly affects the accreditation process of the journal, therefore it is necessary to understand the business process of sending articles from the author using Open Journal Systems (OJS) until the article is published. In the system required modeling planning, design and use of interfaces between users and computers, this interaction is known as the interaction between humans and computers (Human Computer Interaction). Framework is used to understand the interaction of computer systems to provide language facilities between the user's language and system language. Users (users) and computer systems (systems) can interact with each other using several modes of interaction, namely the combination style form fill-in and direct manipulation. Open Journal Systems (OJS) 3.x. has a more concise, easy and flexible appearance because it is built on the principle of Interaction Framework involving users, input, system, output. Keywords: framework, HCI, journals, OJS, PKP

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25

SAITO, Susumu, and Katsuhiko OGAWA. "Ergonomics of human-system interaction." Japanese journal of ergonomics 30, no. 1 (1994): 1. http://dx.doi.org/10.5100/jje.30.1.

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26

Varey, Richard J. "Marketing as an Interaction System." Australasian Marketing Journal (AMJ) 16, no. 1 (January 2008): 79–94. http://dx.doi.org/10.1016/s1441-3582(08)70007-7.

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27

Deba, Suman, Himanshu Singh, Behara Lakshmi Rohini, Dheeraj Mishra, Rohit Kumar Meena, and Paritosh Bhattacharya. "BYOD Supported Crowd Interaction System." Procedia Computer Science 132 (2018): 1586–91. http://dx.doi.org/10.1016/j.procs.2018.05.123.

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28

Bickhard, Mark H. "Language as an interaction system." New Ideas in Psychology 25, no. 2 (August 2007): 171–87. http://dx.doi.org/10.1016/j.newideapsych.2007.02.006.

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29

Ridgeway, Cecilia L., and Lynn Smith-Lovin. "THE GENDER SYSTEM AND INTERACTION." Annual Review of Sociology 25, no. 1 (August 1999): 191–216. http://dx.doi.org/10.1146/annurev.soc.25.1.191.

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30

Humayoun, Shah Rukh, Antonella Poggi, Tiziana Catarci, and Alan Dix. "Task-based User-System Interaction." KI - Künstliche Intelligenz 26, no. 2 (January 18, 2012): 141–49. http://dx.doi.org/10.1007/s13218-011-0166-z.

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31

Kulish, P. P. "Quantum nonlinear wave interaction system." Physica D: Nonlinear Phenomena 18, no. 1-3 (January 1986): 360–64. http://dx.doi.org/10.1016/0167-2789(86)90197-1.

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32

Guttmann, Robin, Johannes Hoja, Christoph Lechner, Reinhard J. Maurer, and Alexander F. Sax. "Adhesion, forces and the stability of interfaces." Beilstein Journal of Organic Chemistry 15 (January 11, 2019): 106–29. http://dx.doi.org/10.3762/bjoc.15.12.

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Weak molecular interactions (WMI) are responsible for processes such as physisorption; they are essential for the structure and stability of interfaces, and for bulk properties of liquids and molecular crystals. The dispersion interaction is one of the four basic interactions types – electrostatics, induction, dispersion and exchange repulsion – of which all WMIs are composed. The fact that each class of basic interactions covers a wide range explains the large variety of WMIs. To some of them, special names are assigned, such as hydrogen bonding or hydrophobic interactions. In chemistry, these WMIs are frequently used as if they were basic interaction types. For a long time, dispersion was largely ignored in chemistry, attractive intermolecular interactions were nearly exclusively attributed to electrostatic interactions. We discuss the importance of dispersion interactions for the stabilization in systems that are traditionally explained in terms of the “special interactions” mentioned above. System stabilization can be explained by using interaction energies, or by attractive forces between the interacting subsystems; in the case of stabilizing WMIs, one frequently speaks of adhesion energies and adhesive forces. We show that the description of system stability using maximum adhesive forces and the description using adhesion energies are not equivalent. The systems discussed are polyaromatic molecules adsorbed to graphene and carbon nanotubes; dimers of alcohols and amines; cellulose crystals; and alcohols adsorbed onto cellulose surfaces.

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33

Takada, Yuji, Erwin R. Boer, and Tetsuo Sawaragi. "Driving Assist System: Shared Haptic Human System Interaction." IFAC Proceedings Volumes 46, no. 15 (2013): 203–10. http://dx.doi.org/10.3182/20130811-5-us-2037.00038.

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34

Alamri, Ahlam Mohammed, Dina Khaled Alharthi, Azrilah Abdulaziz, and Salha Abdullah. "Characterizing Healthcare Interaction System as a Service System." International Journal of Computer Trends and Technology 30, no. 2 (December 25, 2015): 98–103. http://dx.doi.org/10.14445/22312803/ijctt-v30p117.

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35

Iqbal Hossain, Muhammad, and Woo Jin Lee. "Integration testing based on indirect interaction for embedded system." International Journal of Reconfigurable and Embedded Systems (IJRES) 8, no. 2 (July 1, 2019): 86. http://dx.doi.org/10.11591/ijres.v8.i2.pp86-98.

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<span>Embedded systems comprise several modules that exchange data by interacting among themselves. Exchanging wrong resource data among modules may lead to execution errors or anomalies. Interacting resources produce dependencies between two modules where any change of resources by one module affects the functionality of another module. Several investigations of the embedded system such as aerospace or automobile system show interaction faults between modules are one of the major cause of critical software failures. Therefore, interaction testing is an essential phase to reduce the interaction faults and minimize the risk. The direct and indirect interaction between modules generates interaction faults where indirect interaction is made underneath the interface in which data dependence relationship with resources may cause a different outcome. We investigate errors based on the indirect interaction between modules and introduce a new test criterion for finding errors detectable by existing approaches in unit level but not in integration level. In this paper, we propose a noble approach to generate an interaction model using indirect interaction pattern and design test criteria based on different interaction errors to generate test cases. Finally, we use fault injection and data flow coverage techniques to evaluate the feasibility and effectiveness of our approach</span>

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36

Stefanov, Stefan Z. "FUNCTIONAL DIAGNOSTICS OF COMPLEX DYNAMIC SYSTEMS WITH SYSTEM INTERACTION." Cybernetics and Systems 20, no. 5 (January 1989): 417–34. http://dx.doi.org/10.1080/01969728908902216.

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37

Lieslehto, J., and H. N. Koivo. "An expert system for interaction analysis of multivariable systems." International Journal of Adaptive Control and Signal Processing 5, no. 1 (January 1991): 41–62. http://dx.doi.org/10.1002/acs.4480050105.

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Zuddas, Pierpaolo, and Gil Michard. "Experimental mineral - fluid interaction in the Na-Ca-(Sr)-Al-Si system." European Journal of Mineralogy 5, no. 5 (January 1, 1993): 807–18. http://dx.doi.org/10.1127/ejm/5/5/0807.

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39

DOBRE, DragoŞ, Gérard MOREL, and David GOUYON. "Improving Human-System Digital Interaction for Industrial System Control: Some Systems Engineering Issues." IFAC Proceedings Volumes 43, no. 4 (2010): 290–95. http://dx.doi.org/10.3182/20100701-2-pt-4011.00050.

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40

Choi, Namki, Byongjun Lee, Dohyuk Kim, and Suchul Nam. "Interaction Boundary Determination of Renewable Energy Sources to Estimate System Strength Using the Power Flow Tracing Strategy." Sustainability 13, no. 3 (February 2, 2021): 1569. http://dx.doi.org/10.3390/su13031569.

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System strength is an important concept in the integration of renewable energy sources (RESs). However, evaluating system strength is becoming more ambiguous due to the interaction of RESs. This paper proposes a novel scheme to define the actual interaction boundaries of RESs using the power flow tracing strategy. Based on the proposed method, the interaction boundaries of RESs were identified at the southwest side of Korea Electric Power Corporation (KEPCO) systems. The test results show that the proposed approach always provides the identical interaction boundaries of RESs in KEPCO systems, compared to the Electric Reliability Council of Texas (ERCOT) method. The consistent boundaries could be a guideline for power-system planners to assess more accurate system strength, considering the actual interactions of the RESs.

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Sievert, Henning, Simone Venz, Oscar Platas-Barradas, Vishnu M. Dhople, Martin Schaletzky, Claus-Henning Nagel, Melanie Braig, et al. "Protein-protein-interaction Network Organization of the Hypusine Modification System." Molecular & Cellular Proteomics 11, no. 11 (August 10, 2012): 1289–305. http://dx.doi.org/10.1074/mcp.m112.019059.

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Hypusine modification of eukaryotic initiation factor 5A (eIF-5A) represents a unique and highly specific post-translational modification with regulatory functions in cancer, diabetes, and infectious diseases. However, the specific cellular pathways that are influenced by the hypusine modification remain largely unknown. To globally characterize eIF-5A and hypusine-dependent pathways, we used an approach that combines large-scale bioreactor cell culture with tandem affinity purification and mass spectrometry: “bioreactor-TAP-MS/MS.” By applying this approach systematically to all four components of the hypusine modification system (eIF-5A1, eIF-5A2, DHS, and DOHH), we identified 248 interacting proteins as components of the cellular hypusine network, with diverse functions including regulation of translation, mRNA processing, DNA replication, and cell cycle regulation. Network analysis of this data set enabled us to provide a comprehensive overview of the protein-protein interaction landscape of the hypusine modification system. In addition, we validated the interaction of eIF-5A with some of the newly identified associated proteins in more detail. Our analysis has revealed numerous novel interactions, and thus provides a valuable resource for understanding how this crucial homeostatic signaling pathway affects different cellular functions.

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Dоmina, Viktoriia, Natalia Gutareva, and Julia Sedova. "Formation of Professional Competencies in Future Teachers of Physical Education in the Conditions of Interactive Interaction." Bulletin of Luhansk Taras Shevchenko National University, no. 7 (338) (2020): 133–40. http://dx.doi.org/10.12958/2227-2844-2020-7(338)-133-140.

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The dynamics of development of the modern world causes progressive changes in education, reflecting the creative search for the most effective forms of organization and technology of learning. Recent studies outline the strategy of practical constructions, involving the education system in the development of the value-semantic sphere of personality on a pedagogical basis. In the offered article the authors consider actual problems of formation of professional competence which is considered as the integrated property of the person possessing a complex of professionally significant for the future teacher of physical culture qualities. The study identified the concept of professional competence of the future teacher, value orientations. The classification of value orientations of the future teacher of physical education which allows to adapt more successfully masters to modern educational processes is proved. The importance of the teacher's value orientations in the modern process of forming the moral beliefs of future teachers is determined. One of the possible ways of forming professional competence in the process of training future physical education teachers through interactive interaction is presented. It is this system of training allows by determining the general laws of psychology and pedagogy, specifying their basic provisions to determine the specifics of coaching.

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Kim, Yul, Bumki Min, and Gwan-Su Yi. "IDDI: integrated domain-domain interaction and protein interaction analysis system." Proteome Science 10, Suppl 1 (2012): S9. http://dx.doi.org/10.1186/1477-5956-10-s1-s9.

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Belova, Natalya, and Olena Popovich. "Cultural interaction paradigms." Bulletin of Mariupol State University. Series: Philosophy, culture studies, sociology 9, no. 18 (2019): 9–19. http://dx.doi.org/10.34079/2226-2849-2019-9-18-9-19.

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Consistent design of the conceptual-analytical system of philosophical knowledge about the essence of interaction of cultures faces the problem of absence of «mono-object» (or single object), because the subject of study is interaction of systems or system complexes. In view of this, the article substantiates the need to enhance the integrative status of the philosophy of culture, in particular by including in its subject some specific problems of cultural studies and proposes to consider the interaction of cultures as a system complex containing cultural systems of different levels of generality (community, group, personality). Consideration of a number of systems (system complexes) allows us to understand the two-vector nature of adaptation and to see the positive and negative factors influencing the development of personality consequences of the interaction of cultures. Taking into consideration, that analysis of the process of socio-cultural adaptation of an individual is complicated by the presence of levels, the number and difference of which are determined by the understanding of the individual not only as a creature acting in the physical but also in the socio-cultural plane,the need of search for mechanisms to preserve the individual's self in the conditions of rapid renewal of all spheres of social lifeIt is tmphasized. Sociocultural adaptation as the process of active adapting of an individual or group to a changing environment through cultural mechanisms ( not only the changing environment itself, but also the changes of the individual or group itself) in the process of adaptation was reviewed. It is emphasized that synonymous use of the terms "acculturation" and socio-cultural or intercultural adaptation is inappropriate. The development of the theory of acculturation, its levels and additions to the theory of strategies of acculturation are traced. It was suggested by to consider the theory of acculturation (including supplementing dimensions) and the theory of strategies of acculturation as the complex of acculturation. The multi-quality of the interaction of cultures is revealed. Some reconciliation of existing paradigms of cultural interaction are proposed, since in the current conditions of accelerating the processes of globalization the use of philosophical methodology will help to understand the common problems of human being, and will create the basis for the combination of a bunch of systems (system complexes) of interaction of cultures.

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Andreis, Luisa, Amine Asselah, and Paolo Dai Pra. "Ergodicity of a system of interacting random walks with asymmetric interaction." Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 55, no. 1 (February 2019): 590–606. http://dx.doi.org/10.1214/18-aihp893.

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Golchin, Hanif, Sara Jamali, and Esmaeil Ebrahimi. "Interacting dark energy: Dynamical system analysis." International Journal of Modern Physics D 26, no. 09 (March 13, 2017): 1750098. http://dx.doi.org/10.1142/s0218271817500985.

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We investigate the impacts of interaction between dark matter (DM) and dark energy (DE) in the context of two DE models, holographic (HDE) and ghost dark energy (GDE). In fact, using the dynamical system analysis, we obtain the cosmological consequence of several interactions, considering all relevant component of universe, i.e. matter (dark and luminous), radiation and DE. Studying the phase space for all interactions in detail, we show the existence of unstable matter-dominated and stable DE-dominated phases. We also show that linear interactions suffer from the absence of standard radiation-dominated epoch. Interestingly, this failure resolved by adding the nonlinear interactions to the models. We find an upper bound for the value of the coupling constant of the interaction between DM and DE as [Formula: see text][Formula: see text]in the case of holographic model, and [Formula: see text] in the case of GDE model, to result in a cosmological viable matter-dominated epoch. More specifically, this bound is vital to satisfy instability and deceleration of matter-dominated epoch.

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Reese, Simon. "Inter-company interaction framework: understanding the 4 Cs framework to promote learning." Industrial and Commercial Training 47, no. 2 (March 2, 2015): 67–72. http://dx.doi.org/10.1108/ict-10-2014-0066.

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Purpose – The purpose of this paper is to introduce a conceptual framework to assist members of an inter-company structure in understanding the partner company's interest in interacting and advancing toward a learning organization. Design/methodology/approach – The paper provides a framework outlining the differing patterns of interaction between the two separate organizations and describes how each of the differing interactions should be used to align the learning system. Without understanding the 4 Cs from the side of both companies, the interaction may misalign, and the shared vision of learning may fail. Findings – In order to best ensure consistency in knowledge sharing across the organizations, the L&D practitioner in conjunction with the sales and marketing arm of the organization should examine the interactions and identify the patterns of interaction before developing a learning system engaging the partner organization. Practical implications – Managing the patterns of interaction through an understanding of the 4 Cs allows the organizations to quickly understand why learning systems are failing and where conflicts may arise. Originality/value – The paper offers a conceptual framework for senior managers to consider when they enter into an inter-company interaction. The example is set in a wholesale distributor model; however, the framework can provide the L&D professionals areas into which they can expand traditional learning environments when working across company boundaries.

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Tiantian Liu, Tiantian Liu, Gongwei Lin Gongwei Lin, Fengxue Zhou Fengxue Zhou, Li Deng Li Deng, Shangqing Gong Shangqing Gong, and Yueping Niu Yueping Niu. "Tunable interaction-free all-optical switching in a five-level atom-cavity system." Chinese Optics Letters 15, no. 9 (2017): 092702. http://dx.doi.org/10.3788/col201715.092702.

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Katsura, Seiichiro, and Kiyoshi Ohishi. "Modal System Design of Multirobot Systems by Interaction Mode Control." IEEE Transactions on Industrial Electronics 54, no. 3 (June 2007): 1537–46. http://dx.doi.org/10.1109/tie.2007.894704.

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Lee, Jaehun, Young Jae Lee, and Robin Eunju Kim. "Identification of System Frequency Variations in Vehicle–Bridge Interaction Systems." Journal of the Computational Structural Engineering Institute of Korea 35, no. 1 (February 28, 2022): 23–28. http://dx.doi.org/10.7734/coseik.2022.35.1.23.

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