TECHNICAL INTEGRATION AND ITS APPLICATION FOR ART EDUCATION TEACHERS FROM THE POINT OF VIEW OF SUPERVISORS

The current research problem was established through the following question: What are the characteristics of technical integration (cognitive, skill, and behavioral)? What are the mechanisms for applying it to art education teachers? As the current research aims to identify the characteristics of technical integration (cognitive, skill, and behavioral) of art education teachers from the point of view of the supervisors specialization. The research community consisted of the art education supervisors in the Karkh side, who were (35) supervisors. A sample of (20) supervisors with a specialization in art education on (the Karkh) side were selected, who could be reached through electronic communication means. To achieve the goal of the current research, the researcher built her research tool represented by the questionnaire, which consisted of (4 domains and 41 paragraphs), as it covered all the characteristics of technical integration (cognitive, skill, and behavioral) that the art education teacher is supposed to display. The most important conclusions are: 1.the majority of art education teachers use the most appropriate methods and decoration. 2.Art education teachers have school exhibitions involving learners to display paintings.

Kansa Method for Unsteady Heat Flow in Nonhomogenous Material with a New Proposal of Finding the Good Value of RBF’s Shape Parameter

New engineering materials exhibit a complex internal structure that determines their properties. For thermal metamaterials, it is essential to shape their thermophysical parameters’ spatial variability to ensure unique properties of heat flux control. Modeling heterogeneous materials such as thermal metamaterials is a current research problem, and meshless methods are currently quite popular for simulation. The main problem when using new modeling methods is the selection of their optimal parameters. The Kansa method is currently a well-established method of solving problems described by partial differential equations. However, one unsolved problem associated with this method that hinders its popularization is choosing the optimal shape parameter value of the radial basis functions. The algorithm proposed by Fasshauer and Zhang is, as of today, one of the most popular and the best-established algorithms for finding a good shape parameter value for the Kansa method. However, it turns out that it is not suitable for all classes of computational problems, e.g., for modeling the 1D heat conduction in non-homogeneous materials, as in the present paper. The work proposes two new algorithms for finding a good shape parameter value, one based on the analysis of the condition number of the matrix obtained by performing specific operations on interpolation matrix and the other being a modification of the Fasshauer algorithm. According to the error measures used in work, the proposed algorithms for the considered class of problem provide shape parameter values that lead to better results than the classic Fasshauer algorithm.

THE EFFECT OF PROACTIVE WORK BEHAVIOR ON ENTREPRENEURIAL PERFORMANCE

The current research problem is determined by answering the question related to the awareness of the Public Company for Agricultural Supplies in In dependence Proactive work behavior as an approved variable represented by its three dimensions (employee voice, personal initiative, Taking charge) and its impact on entrepreneurial performance as a dependent variable in its four dimensions (organizational innovation, strategic renewal Venturing), using of descriptive and analytical research. for The identification of the extent of the relationship of proactive work behavior in the entrepreneurial performance in correlation and influence, two main hypotheses were formulated, and the questionnaire was adopted as a tool in collecting data and information related to research, as it was prepared based on a number of approved measures and was subjected to measures of validity and reliability It was distributed to a sample of (122) employees of the Public Company for Agricultural Supplies, and to analyze the data, the ready-made statistical program (SPSS) was used, The statistical methods revealed the existence of a correlation and influence between the proactive work behavior and the entrepreneurial performance.

Resource Controllability of Business Processes Under Conditional Uncertainty

A current research problem in the area of business process management deals with the specification and checking of constraints on resources (e.g., users, agents, autonomous systems, etc.) allowed to be committed for the execution of specific tasks. Indeed, in many real-world situations, role assignments are not enough to assign tasks to the suitable resources. It could be the case that further requirements need to be specified and satisfied. As an example, one would like to avoid that employees that are relatives are assigned to a set of critical tasks in the same process in order to prevent fraud. The formal specification of a business process and its related access control constraints is obtained through a decoration of a classic business process with roles, users, and constraints on their commitment. As a result, such a process specifies a set of tasks that need to be executed by authorized users with respect to some partial order in a way that all authorization constraints are satisfied. Controllability refers in this case to the capability of executing the process satisfying all these constraints, even when some process components, e.g., gateway conditions, can only be observed, but not decided, by the process engine responsible of the execution. In this paper, we propose conditional constraint networks with decisions (CCNDs) as a model to encode business processes that involve access control and conditional branches that may be both controllable and uncontrollable. We define weak, strong, and dynamic controllability of CCNDs as two-player games, classify their computational complexity, and discuss strategy synthesis algorithms. We provide an encoding from the business processes we consider here into CCNDs to exploit off-the-shelf their strategy synthesis algorithms. We introduce $$\textsc {Zeta}$$ Z E T A , a tool for checking controllability of CCNDs, synthesizing execution strategies, and executing controllable CCNDs, by also supporting user interactivity. We use $$\textsc {Zeta}$$ Z E T A to compare with the previous research, provide a new experimental evaluation for CCNDs, and discuss limitations.

Human potential and the system of its commercialization management

The important factor of business sustainability is human capital. In this regard, there is need to estimate human potential, concerning the effectiveness of its management and commercialization probability. The current research problem lays upon the human potential management and the possibility of its commercialization. The paper aims to provide scientific support on human potential and human capital theories, concerning their connection within the system of a sustainable business development. The research methodology is based on theoretical and methodological approaches of Ukrainian and foreign experts from the last ten years, reflecting human capital and human potential concepts, taking into account business needs. The main part of research highlights the special status of human potential, based on its specific characteristics, including network effects, the ability to convert human potential benefits into significant social and economic effects, hybrid and multiplicative. The paper proposes a new methodological approach on technology for human potential commercialization and management. Human potential commercialization measurement is offered as a new model to assess the significance of human potential and its managerial effectiveness estimation. The study results can be used within programs for sustainable and social business development. More extensive study is required to prove the proposed methodological approach effectiveness within different sectors and branches.

The Dominican Robert Kilwardby (ca. 1215–1279) as schoolman and ecclesiastical official

This article, by reworking the most recent specialist contributions, presents a fresh overview of the scholastic and ecclesiastical contributions of the Oxford Dominican Robert Kilwardby (ca. 1215–1279). After highlighting the current research problem of the ‘canon’ in Medieval philosophy, the article turns to Kilwardby as a positive example of a ‘non-canonised’ thinker from the high Middle Ages – one who is thus thoroughly researched in a specialised or niche compartment, but who remains mostly unacknowledged in mainstream or ‘canonised’ Medieval philosophy. The article thus reappraises Kilwardby intending to accentuate his scholastic and ecclesiastical contributions beyond the confines of a particular niche. Kilwardby’s often provocative combination of Aristotelian natural philosophy and Augustinianism as a schoolman, and his central yet problematic role in the Paris-Oxford condemnations of 1277 as an ecclesiastical official, are henceforth reappraised.Intradisciplinary/interdisciplinary implications: As a millennium-long discourse, Medieval philosophy functions in a Venn diagrammatical relationship with Medieval history, Church history, patristics and philosophy of religion. Whenever ‘mainstream’ or ‘canonised’ Medieval philosophy is impacted from the niche research, it may well have implications that these closely related disciplines could take note of. Such is the case in this ‘hourglass’ reappraisal of life and work of Robert Kilwardby as a scholastic thinker and an ecclesiastical official.

Suction Injection Induced MHD Flow through Vertical Narrow Porous Channel with Permeable Properties

The current research problem deals with fluid flows that are electrically conducting known as Magnetohydrodynamic(MHD) flow, viscous oscillatory and stratified fluid in a vertical long small geometry rectangular channel that has permeable property with one side being porous and the other side being nonporous. Corresponding fluid flow equations are simplified and hence solved by applying Lubrication approximation by using similarity transformation. The interpretations of the influences of various quantities that are involved to the problem on velocity profiles, pressure and density distributions are explained in detail. The results of the research problem shows that the Magnetohydrodynamic parameter encourages backflow nearer to the boundaries of the channel while permeability parameter influences the flow differently for axial and transverse velocity profiles. The results for =0 reduces to the results that are already available in the literature.The current research problem deals with fluid flows that are electrically conducting known as Magnetohydrodynamic(MHD) flow, viscous oscillatory and stratified fluid in a vertical long small geometry rectangular channel that has permeable property with one side being porous and the other side being nonporous. Corresponding fluid flow equations are simplified and hence solved by applying Lubrication approximation by using similarity transformation. The interpretations of the influences of various quantities that are involved to the problem on velocity profiles, pressure and density distributions are explained in detail. The results of the research problem shows that the Magnetohydrodynamic parameter encourages backflow nearer to the boundaries of the channel while permeability parameter influences the flow differently for axial and transverse velocity profiles. The results for =0 reduces to the results that are already available in the literature.

Process Optimization of Big-Data Cloud Centre Using Nature Inspired Firefly Algorithm and K-Means Clustering

During the last decade, the growth of big data is immeasurable in information technology. Big data has the potential to take all the decisions necessary for a company or business. But it has many challenges as well. As its size and volume are immeasurably ample it is a very challenging task to store, process and mines it. At the same time as a boon to it cloud computing has a large capacity to store this big data and provides tremendous processing power. It is a challenging task to process large amount of data frequently in the big-data cloud center through the thousands of interconnected servers. Due to the day by day growth of the big-data, big-data cloud center is forced to improve its Quality of Service (QoS) metrics like throughput, latency and response time. Hence, to develop an optimal data processing optimization method is a current research problem that has to be solved. The major intention of this paper is to develop an application that provides maximum throughput, minimum latency and reduce the response time. Toward this, we have developed an optimization technique using nature-inspired firefly optimization algorithm and k-means clustering (FA-KMeans). The developed optimization method has been evaluated with state of art algorithms. Its experimental result elucidates that our proposed method provides good throughput, reduces latency and response time.

Criteria for the optimal financing model of public theatres

The research is part of a wider research problem, whose aim is to find an optimal financing model for cultural institutions in Poland. The purpose of this research is to evaluate the performance indicators of municipal and regional theatres in the context of accessibility to cultural public services. The study forms a verification of previously distinguished indicators of the effectiveness of cultural institutions with a general direction: how to find an optimal financing model of public dramatic theatres. The current research problem is the accessibility of public dramatic theatres in the absence of criteria for the allocation of statutory subsidies. We hypothesise that the absence of criteria for the allocation of statutory subsidies highly diversifies the accessibility of performing arts organisations. The object of study is public dramatic theatres in Poland in the period 2011–2015. We investigated the indicators having an impact on the level of accessibility of public theatres. The statistical methods used allowed us to identify criteria affecting availability. These criteria are recognized in the literature. In addition, we indicate the level of diversification of accessibility by individual public theatres.