Model Of Interaction Process Research Articles

MODELING THE PROCESSES OF INTERACTION BETWEEN TEAM MEMBERS DURING THE IMPLEMENTATION OF COMPLEX SOFTWARE PRODUCTS

In the context of intensive development of information technology and increasing complexity of software products, the importance of effective interaction between members of work teams when implementing complex software solutions, such as enterprise automation systems based on the 1C platform, is increasing. This article is devoted to the study and modeling of interaction processes between members of project teams aimed at increasing the effectiveness of their joint activities during the implementation of projects for the implementation of corporate information systems. As part of the study, existing approaches and methods for organizing teamwork, as well as software systems that provide monitoring and management of collaboration of specialists, were analyzed. Particular attention is paid to considering the specifics of interaction when implementing 1C systems, characterized by a high degree of adaptability and variability depending on the characteristics of a particular enterprise. Research materials and methods include studying scientific literature on the issues of managing project teams, analyzing statistical data on the results of implementing corporate information systems in various sectors of the economy, as well as conducting interviews with managers and participants in 1C implementation projects at medium and large businesses. As part of this study, methods for modeling the work of a project team were studied. In the process of work, the analysis of her activities (business and interpersonal) was taken into account. In the course of the work, the conflict phase of team development was identified, and a model of effective motivation was created. For this purpose, game theory tools were used. As a result of the study, key factors were identified that influence the effectiveness of interaction between project team members, among which are a clear distribution of roles and responsibilities, well-established communications, and the use of modern collaboration and task management tools. Based on the data obtained, the authors proposed a conceptual model for organizing effective interaction between participants in 1C implementation projects, taking into account the specifics of this subject area and aimed at minimizing risks and improving the quality of the results of project activities.

Supervision of The People's Representative Council of Aceh Besar District on The Direct Cash Assistance Program in Lhoong District

The aim of this research is to analyze and describe the implementation of the DPRK's supervisory policy on the realization ofthe BLT program in Lhoong sub-district, Aceh Besardistrict and to analyze and describe the supporting and inhibiting factors in implementing the DPRK's supervisory role on the realization of the BLT program in Lhoong sub-district, Aceh Besar district. The method used in this research is a qualitative approach with data analysis techniques using an interactive analysis process model. The results of this research indicate that the process of implementing DPRK supervision of the realization of the BLT programin Lhong District, Aceh Besar Regency prioritizeslocal wisdom so that the process can run well. However, regarding the supervision procedures of the Aceh Besar DPRK, it seems that this is still not the case because the mechanism is tentative and preventive because it is only carried out during initial planning and is not accompanied by a standard schedule.

The dimensions of expansive learning in the workplace: A multicase study from activity theory

AbstractLearning in the workplace is among the most important forms of lifelong learning. This is because the workplace provides an authentic context for meaningful learning. Expansive learning, proposed by Engeström, focuses on learners as a community, the transformation of culture, and the creation of a new theoretical concept. Expansive learning eventually leads to a transformation in collective expertise. The primary aim of the study was to examine the dimensions of expansive learning and their relationships in the workplace. The cases selected were three Chinese consulting firms that focus on professional learning or talent training and development. I used multiple methods for data collection (e.g., semistructured interviews, observation, and document analysis). The successive analytical induction procedure was based on the constant comparison principle of grounded theory, and the four dimensions of expansive learning (distribution, collectiveness, routine, and expansiveness) emerged and were scrutinized. Based on the principle of activity theory, I constructed and integrated an interactive dynamic process model of expansive learning with its related dimensions.

Effect of Sulfur Concentration on Olivine Sulfidation under Lithospheric Mantle PT-parameters

Experimental studies aimed at the modeling of interaction processes of sulfur-bearing metasomatic agents with mantle silicates and assessing the effect of sulfur concentration on olivine sulfidation were carried out in the Fe,Ni-olivine—sulfur system using the high-pressure multi-anvil apparatus BARS (1050 and 1450°C, 6.3 GPa, 40–60 h, sulfur concentrations (Xs) 0.1, 2, and 6 mol %). It has been established that as a result of the recrystallization of Fe,Ni-olivine in a sulfur melt, Fe and Ni are extracted from olivine into this melt, and formation of Fe,Ni-sulfides (or sulfide melts) and low-iron, low-nickel silicates takes place. The key indicator characteristics of the olivine sulfidation process are determined depending on the temperature and sulfur concentration, including characteristic phase assemblages, regularities in the evolution of the chemical compositions of mineral and melt phases, and structural features of olivine crystals. It has been experimentally established that reducing sulfur-bearing metasomatic agents, even in minimal concentrations and at relatively low temperatures, are capable of dissolving and transporting mantle silicates and sulfides, and can play an important role in sulfide ore formation in the mantle.

EFFECT OF SULFUR CONCENTRATION ON OLIVINE SULFIDATION UNDER LITHOSPHERIC MANTLE <i>PT</i>-PARAMETERS

Experimental studies aimed at the modeling of interaction processes of sulfur-bearing metasomatic agents with mantle silicates and assessing the effect of sulfur concentration on olivine sulfidation were carried out in the Fe,Ni-olivine – sulfur system using the high-pressure multi-anvil apparatus BARS (1050 and 1450°C, 6.3 GPa, 40–60 hours, sulfur concentrations (Xs) 0.1, 2 and 6 mol. %.). It has been established that as a result of the recrystallization of Fe,Ni-olivine in a sulfur melt, Fe and Ni are extracted from olivine into this melt, and formation of Fe,Ni-sulfides (or sulfide melts) and low-iron, low-nickel silicates takes place. The key indicator characteristics of the olivine sulfidation process are determined depending on the temperature and sulfur concentration, including characteristic phase assemblages, regularities in the evolution of the chemical compositions of mineral and melt phases, and structural features of olivine crystals. It has been experimentally established that reducing sulfur-bearing metasomatic agents, even in minimal concentrations and at relatively low temperatures, are capable of dissolving and transporting mantle silicates and sulfides, and can play an important role in sulfide ore formation in the mantle.

THE POSITRONE γ-SPECTROSCOPY OF SIMBIONIC SYSTEMS

The γ-spectroscopy of rapid processes in space and Earth atmospheres we considered in this paper. One of considered object is AM Her types cataclysmic systems in soft γ-ray spectra. We calculated intensity of annihilation line who indicates the p-p thermonuclear explosions in a surface of the White Dwarfs (therefore WD). In the presented results we used, that the p-p detonation in degenerate plasma produce positrons. We confirmed that the formed annihilation γ-quants with energy 0.511 MeV is the suitable diagnostic possibility to study the effectiveness of thermonuclear reaction channels during such explosions. These results show the reason for the lack of registration of γ- flares in other types of cataclysmic variables. For example, in this paper considered systems with classical accretion disks named how Periodical Novae. Because these explosion is rare and have specific in geometrical and physical conditions for him monitoring with other strategy of observation. In Earth atmosphere tame scale of formation of secondary positrons is same. We showed, that annihilation of positrons occurs in near Earth surface zone. In this case observatories based in height reaching 2000 and more meters are important, it is advisable to planning the placement of this kind of equipment. It is confirmed, that presented perovskite detectors have the necessary sensitivity and universal spectral sensitivity and the study and modeling of interaction processes allows you to set the operating modes of the interfaces in the monitoring modes of observations. In presented paper has been confirmed, that perovskite materials in form of binary detectors enables simultaneous observations of hard radiation and optical quanta. In this cases observation of CR, micro meteors and other rapid objects in Earth atmosphere greatly expands the possibilities of their study.

Analysis of Data Interaction Process Based on Data Mining and Neural Network Topology Visualization.

This paper addresses data mining and neural network model construction and analysis to design a data interaction process model based on data mining and topology visualization. This paper performs preprocessing data operations such as data filtering and cleaning of the collected data. A typical multichannel convolutional neural network (MCNN) in deep learning techniques is applied to alert students' academic performance. In addition, the network topology of the CNN is optimized to improve the performance of the model. The CNN has many hyperparameters that need to be tuned to construct an optimal model that can effectively interact with the data. In this paper, we propose a method to visualize the network topology within unstable regions to address the current problem of lacking an effective way to layout the network topology into specified areas. The technique transforms the network topology layout problem within the unstable region into a circular topology diffusion problem within a convex polygon, ensuring a clear, logical topology connection, and dramatically reducing the gaps in the area, making the layout more uniform beautiful. This paper constructs a real-time data interaction model based on JSON format and database triggers using message queues for reliable delivery. A platform-based real-time data interaction solution is designed by combining the timer method with the original key. The solution designed in this paper considers the real-time accuracy, security and reliability of data interaction. It satisfies the platform's initial and newly discovered requirements for data interaction.

An interactive process model of knowledge transfer for social work through university–agency collaboration: Subjective experiences of the agency social workers in Hong Kong

Abstract This article reports on the outcome of an exploratory study on a university–agency collaboration in a Chinese context for transferring social work knowledge from academia to the field and beyond. A six-stage process characterised by interactive contributions from the university and the agency in question was identified from the trainees’ narratives of the content, process and their subjective experiences with the three-year collaboration. The two parties co-constructed and adapted knowledge oriented for a specific clientele and agency context, and they implemented the intervention together with underlying theories and ways of thinking. Through interactive practising and coaching, knowledge was indigenised and disseminated into and beyond the agency. The study highlighted the trainees’ active participation, the deep collaboration between the two parties and the trusting relationship within the changing power dynamics, and the comprehensive planning at the organisational level for a fully sustainable transfer of social work knowledge with tacit characteristics. Multiple implications for continuing professional education in social work are drawn.

SOCIAL INTERACTION OF WOMEN EXPOSED TO HIV/AIDS: A REPRESENTATIVE MODEL

ABSTRACT Objective: to present the representative model of the social interaction of women exposed to the Human Immunodeficiency Virus and AIDS based on the meanings attributed by them. Method: an interpretative and qualitative research study carried out in Rio de Janeiro, Brazil, from 2017 to 2018, through semi-structured interviews with 17 women who made up four sample groups, in the period between June 2017 and January 2018. The framework for data analysis is the Grounded Theory and Symbolic Interactionism, and the study was ethically approved as required by the National Health Council. Results: for women, the representative model of the social interaction process of exposure to the Human Immunodeficiency Virus and AIDS means “not protecting themselves” and “not being protected by the other”. It is seen as a sloppy, irresponsible and reckless act. The women know the measures to prevent exposure; however, they do not use condoms and acknowledge that they are both exposed and exposing others simultaneously. The central category entitled “Neglecting one's own life although being aware of exposure to the Human Immunodeficiency Virus and AIDS” stands out. Conclusion: understanding this social interaction can contribute to the apprehension of the main factors that influence the construction of these meanings by women, thus helping them to give a new meaning to this exposure and allowing them to modify their actions to protect themselves and others against AIDS. Consequently, effective assistance based on preservation of life is encouraged, with a view to comprehensive care to women and reducing their exposure to infection.

Прогнозна оцінка фізико-хімічних властивостей нових композицій хромовмістних феросплавів

The aim of the work was to predict the most significant physicochemical characteristics (melting temperature and density) of new chromium-containing ferroalloys with reduced chromium content and increased silicon content. The applied methodology and criteria for quantitative assessment took into account microheterogeneity of multicomponent metal melts, melting temperature and density. Information about these characteristics is necessary for studying the kinetics of melting, assimilation of the leading elements of ferroalloys by the metal melt, and determining the efficiency of their use. An original approach is used to solve the modeling tasks, which is based on the concept of physicochemical modeling of interatomic interaction processes in melts, developed under the leadership of Professor E. V. Prykhodko. According to the developed concept, metal melts are considered as chemically unified systems, and a change in their composition affects a complex of physical and chemical properties caused by a change in the parameters of their electronic structure. To evaluate and take into account the influence of the microheterogeneity of the structure of melts of ferroalloy systems, the method of calculating criteria (ΔZy and Δd) was used, characterizing the degree of difference in the electronic and structural state of the melt as a chemically unified system, as opposed to a mechanical mixture of their initial components. Using these criteria and experimental ones, the values of the most important physicochemical characteristics of new compositions of chromium-containing ferroalloys, which are missing in the literature, were obtained. The results of the calculation of these properties can be used to change and improve the characteristics of chromium-containing ferroalloys in order to develop their rational compositions.

Research of soil compaction process in area of contact with a wheel mover

Practice of operating heavy wheeled machines (T-150K, K-700, K-701) and experimental data show that even if the average pressure of a wheel on soil is maintained, degree of its compaction increases. To explain this phenomenon, in our opinion, it is necessary to develop a mathematical model of interaction process of a deformable pneumatic with an elastic-plastic medium, which is considered to be soil subject to modern processing. Working parts of agricultural machines process a wide variety of materials, number of which is increasing, in addition, method of processing the same material is often changed in an effort to improve agricultural technology. This forces us to create new mechanisms for agriculture that were known before. Use of replaceable toothed working parts on flat-cut cultivators helps to reduce energy consumption and improve quality of non-moldboard soil cultivation. Article proposes a method for mathematical description of distribution of machine load over contact surface of a wheeled mover with deformable soil. At the same time, several assumptions and conditions were adopted, namely: volume of skeletal part of deformable soil element remains constant, independent of deformation; contact surface is a curve of two radii - in the load zone (Rl) and in the unloading zone (Ru), tire operating in driven mode has no skids; deformable soil is uniform in depth; wheel load is constant; tire radial stiffness along tread portion width is also constant in magnitude and direction; lateral pressure along deformable soil depth is small and is not taken into account in calculation.

Pneumatic Artificial Muscle With Large Stroke Based on a Contraction Ratio Amplification Mechanism and Self-Contained Sensing

This study proposes a novel artificial muscle based on a pouch-type actuator with a contraction ratio amplification mechanism (CRAM). The CRAM places the final length of the pouch-type actuator into a secondary direction, while the main direction is used only for contraction purpose. Thus, the contraction ratio is substantially increased. The interaction process model between the pouch-type actuator and the mechanism is developed through the principle of virtual work, allowing us to select the adequate parameters so that the contraction ratio of the pouch-type actuator improves up to 48.3%. This improvement is 1.372 times that of the original pouch-type actuator. The output characterization is tested to verify the virtual work model of the process. Moreover, a capacitance-based displacement sensor with low root-mean-square error is built and placed in the actuator. The sensor does not increase the complexity of the system and has high repeatability and linearity. The overall functionality of the sensor is verified through sinusoidal and square-wave tracking experiments employing closed-loop control. Finally, a preliminary upper-limb-assisting test verifies that the actuator can reduce 17.48% of the muscle effort. In sum, this artificial muscle with good performance provides a design reference and alternative for wearable applications.

Reconsideration of Schadenfreude and a proposal of an interactive process model

Reconsideration of Schadenfreude and a proposal of an interactive process model

Geochemical Modeling of Water-Rock Interaction Processes in the Pollino National Park

This work is aimed at reconstructing the water-rock interaction processes controlling the geochemical characteristics of the shallow or relatively shallow groundwaters of the Pollino National Park, based on the data acquired for 105 water samples from local springs. Reaction path modeling of rock dissolution was carried out in a purely stoichiometric mode for the main lithotypes cropping out in the study area, that is, limestone, Mg-limestone, dolomite, serpentinite, Al-silicate fraction of calcschist, and carbonate fraction of calcschist. Reaction path modeling was carried out in a purely stoichiometric mode, considering the rocks of interest as materials of known stoichiometry and unknown thermodynamic properties. Calculations were carried out assuming a closed system for secondary solid phases whereas an open system was assumed for gases, O2(g) and CO2(g). Comparison of the results of geochemical modeling and the analytical data acquired for the groundwaters of the Pollino National Park shows that concentrations of major solutes, SiO2, Li, Al, and Fe of the different chemical types of waters, are explained by the dissolution of pertinent lithotypes. Moreover, the detected concentrations of Al, Cl, F, NO3, and SO4 are within the threshold values recommended by WHO.

Weakly Complete Event Logs in Process Mining

Many information systems have a possibility to record their execution, and, in this way, to generate a trace about events describing the real system behaviour. From behaviour example records in traces of the event log, the α-algorithm automatically generates a process model that belongs to a subclass of Petri nets, known as workflow nets. One of the basic limiting assumptions of α-algorithm is that the event log needs to be complete. As a result of attempting to overcome the problem of completeness of the event log, we introduced the notion of weakly complete event logs, from which our modified technique and algorithm can produce the same result as the α-algorithm from complete logs on parallel processes. Thereby weakly complete logs can be significantly smaller than complete logs, considering the number of traces they consist of. Weakly complete logs were used for the realization of our idea of interactive parallel business process model generation.

Problems and Development Prospects of Public-Private Entrepreneurship

The presented study addresses the problems of interaction between the public (government) and private sectors in the process of social reproduction. Evolution of the mechanism, models, and forms of public-private entrepreneurship has led to the widespread use of public-private partnerships (PPP) based on the utilization of innovation and investment resources of the business to solve economic and social problems. Economic restructuring spurred by digitalization, the pandemic, the shifting balance of power in the world, departure from unilateralism, financialization of economies, and globalization of economic crises decrease the productivity of traditional economic regulation measures taken by the government. Thus, it becomes obvious that further development of public-private partnerships requires enhanced public monitoring using cloud-based information systems, together with updated legislation in this area and new management personnel. The government should encourage innovations in the development of public-private entrepreneurship forms and facilitate interaction with business structures in the context of national and local budget deficit. These measures will help to improve the rate and quality of economic growth in Russia and transition to the sixth wave of innovation. Aim. The study aims to show the genesis and mechanism of interaction between public authorities and business structures and its role in economic development; analyze major forms of public-private entrepreneurship; identify problems and propose recommendations for improving government-business interaction within the framework of public-private partnerships in the context of slower economic growth and the government’s limited ability to implement large-scale investment projects, including in the social sphere. Tasks. The authors analyze the development of public-private entrepreneurship in Russia and across the world, highlighting the features and models of such interaction; examine the legislative features and mechanisms of public-private entrepreneurship; identify problems and opportunities for the successful implementation of government-business interaction in the investment sphere of the Russian Federation. Methods. This study is based on the historical and logical approach, systems analysis, critical examination of scientific literature in relation to the adopted legislation, elements of complex analysis, modeling of interaction processes between public institutions and business structures. Results. The authors prove that by enhancing the interaction between business structures and the government through the development of public-private partnerships in the creation and operation of infrastructure, information technologies, and the social sphere, it will be possible to increase the rate of economic growth, to reduce the burden on the national budget in the context of economic stagnation and recession, and to secure the government’s obligations in the social sphere. The proposed recommendations for improving public-private entrepreneurship include improving the quality of the legal framework regulating the type of partnership, improving its information infrastructure, having a targeted strategy and tactics for the development of public-private entrepreneurship at the national, regional, and municipal level, as well as developing managerial competencies in the field of public-private entrepreneurship process management. Conclusions. The study substantiates the need to form and train efficient project teams, whose tasks should include competent support of a PPP project at all stages, from concept definition to implementation, and using the infrastructure mortgage principle and public control in public-private partnership.

Social Interaction and Information Diffusion in Social Internet of Things: Dynamics, Cloud-Edge, Traceability

Social Internet of Things (SIoT), integrating the social networks and Internet of Things (IoT), leads to heterogeneous interactions of thing to thing, human to human, and human to thing, which in turn generates exploded information. Hence, as the soul of SIoT, information with its interaction and diffusion, records the track of humans and things and contains the hidden value for social administration and people's lives. Therefore, how to characterize the interplay between behavior spreading and information diffusion in SIoT is essential to predict and manage the information. Motivated by this, a more comprehensive understanding of the coupled modeling of social interaction and information diffusion processes in SIoT is conceived first. With the widespread adoption of cloud-edge computing, different nodes have different consciousness on information. Hence, a cloud-edge-aided information diffusion model is proposed for efficient interactions, which incorporates the role of edge in timely processing and feedback. On this basis, a blockchain-based cloud-edge SIoT architecture is proposed for traceability and security of information diffusion. Furthermore, the dynamical analysis of the coupled model in SIoT is provided, which illustrates the outbreak threshold, stability, and scale of information propagation. An interesting finding is that interactive behavior spreading only influences the final size of information propagation, not the spreading threshold. Extensive simulation results and detailed performance analysis verify the theoretical results, which are beneficial to provide traceable dissemination so as to find the most influential node and control the scale of information diffusion.

The concept of intelligent agent in business interactions: is virtual assistant an actor or a boundary object?

PurposeInteractions are fundamental for successful relationships and stable cooperation in a business-to-business market. The main assumption in research on interactions, so obvious that usually not stated by researchers, is that they are set between humans. The development of artificial intelligence forces the re-examination of this assumption. This paper aims to conceptualize business virtual assistants (BVAs), a type of intelligent agent, as either a boundary object or an actor within business interactions.Design/methodology/approachReference is made to the literature on business interactions, boundary objects and identity attribution to problematize the process of interpretation through which BVA obtains an identity. The ARA model and the model of interaction process is used to create a theoretical framework.FindingsThis paper contributes to the literature on business interactions, and to the core of the IMP discussion, in three aspects. The first provides a framework to understand the phenomenon of an artificial entity as an interlocutor in business interactions. While doing that a new type of entity, BVA, is introduced. The second contribution is the exploration and augmentation of the concept of a business actor. The third calls attention to BVA as a boundary object. These issues are seen as essential to move forward the discussion about the meaning of business interaction in the near future.Originality/valueThis paper conceptualizes the presence of a new entity – BVA – in the business landscape.

The role of interaction and predictability in the spontaneous entrainment of movement.

People walking side by side spontaneously synchronize their steps on some occasions but not on others, which poses a challenge to theories of perception-action based on interactive dynamic systems. How can action be spontaneously entrained by some sources of perceptual information while others are selectively ignored? The predictive processing framework suggests that saliency factors such as stimulus predictability, consistent deviation, and interactivity of the stimulus control the coupling between the motor system and perceptual information. To test this, we compared entrainment of gait cadence by two interactive auditory stimuli and two noninteractive but predictable, faster than preferred stimuli that were isochronous or statistically matched to gait. One interactive stimulus had properties that are optimal for mutual entrainment as per a mathematical model of interactive periodic processes, the Kuramoto system. In particular, the stimulus was faster than the participant but also adapted its rate to a limited degree as function of phase mismatch with the participant's steps. The second interactive stimulus fully mirrored the gait cycle hence it did not induce mutual synchronization. Furthermore, healthy participants were compared to ones with impaired gait due to Parkinson's disease, a model disorder that makes movement more dependent on external cueing. The mutually interactive condition produced the strongest entrainment, in patients and healthy participants, without differences between groups. The stimulus adapted to each participant's gait while maintaining a consistent lead in phase. Auditory-motor coupling may be enhanced by stimuli that are not only predictable but also interactive in that they align to self-generated movements. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Psychology features of older people in tourism

On the basis of the analysis of elderly people’s tourist activity the factors determining the organization of tourist activity have been revealed. The psychological features of elderly tourists, causing their consumer behavior, both in the process of purchasing tourist permits, and the General attitude of the consumer to tourism have been considered. It has been established that stereotypes, the environment of tourist products and the emotional sphere of the elderly tourist are the main factors, on the basis of which the decision on travel or refusal to travel is made. The model of interaction process of psychological features of elderly tourists with stages of tourist activity has been presented. The dependence between the primary experience of tourism and the subsequent recreational needs refl cts the importance of studying the psychology of elderly tourists to ensure the frequency of consumption of tourist products.