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Abstract The present Research as” Design Business Agility Dynamic Model in manufacturing organization with dynamic systems approach”was performed . Initially the literature review discussed. The data gathered in this stage provided us with the possibility to present a conceptual framework for the study. Subsequently, through interviewing with experts, some indices for evaluating the variables in the model were identified. On the following stage, a questionnaire was developed. The questionnaire included 116 items, based on a 7-point Likert scale. After determining the validity and reliability of the results of the research revealed that agility capability, agility outcomes, and the internal supply chain of the organizations were less affected by environmental factors than agility enablers. The environmental drives by means of agility enablers, supply chain processes, agility capabilities and agility outcomes influence organizations Then, design Agility Dynamic Model and evaluated effect of changes in environmental drives and Policy of executives on organizational agility results After determining the validity and reliability of the results of the research revealed that agility capability, agility outcomes, and the internal supply chain of the organizations were less affected by environmental factors than agility enablers. The environmental drives by means of agility enablers, supply chain processes, agility capabilities and agility outcomes influence organizations Then, design Agility Dynamic Model and evaluated effect of changes in environmental drives and Policy of executives on organizational agility results

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Locus of Control (LOC) is a psychological construct that deals with people's perception of the extent to which they are in control of what happens to them and it has been proved to play a crucial role in one’s success or failure in various aspects of life. Although LOC is by no means a stable construct, the current body of research had a linear one-shot cause-effect perspective towards it. Hence, framed within a Complex Dynamic Systems Theory (CDST), this case study tries to revisit Iranian university students' LOC through the application of Dynamic Ensemble (DE). To this end, five students from Bojnord university who were attending their General English (GE) course participated in this study. The data collection was done through semi-structured interviews, task-motometers, students' journals, and participant classroom observations during seven classroom sessions. The collected data were qualitatively content analyzed by the application of MaxQDA software. Having analyzed the collected data, several macro-systemic, micro-systemic, and contextual factors were identified as being influential on the students' internality or externality of LOC. Considering the fact that many scholars believe internal LOC is the healthier attribute, this study focuses on the factors which can help teachers lead their students to become internalizers.
 
1. Introduction
Locus of Control (LOC) is a psychological construct, which refers to peoples’ beliefs about the control they have over the situations and experiences affecting their lives (Rotter, 1966). Rotter (1966) introduced a model for LOC with two dimensions namely, internal and external LOC. He asserted internalizers ascribe the reasons for their success or failure to some internal factors such as their own attempts, abilities, activities, and behaviors. In contrast, externalizers think that some external factors like fate, powerful others, and chance or luck, that is out of their control, affect their fate and achievements.
LOC is a multidimensional psychological construct and it has a dynamic nature, which means that it changes over different situations (Ghonsooly & Elahi Shirvan, 2011). This dynamicity underscores the nonlinearity of changes, which means there are almost no predictable cause-effect relations in the systems behavior (Larsen-Freeman, 2016; Waninge et al., 2014).  Thus, in order to get a better and deeper understanding of LOC in interaction with its surrounding environment, this study focuses on the contextual and intra/interpersonal factors which can help a student improve their state of internal LOC.
Research question
How can the underlying variables of  students’ LOC in a course of General English be defined in light of Complex Dynamic System Theory (CDST) through the application of Dynamic Ensemble ?
Dynamic ensemble
Hiver and Al-Hoorie (2016) applied the underlying tenets of CDST in a research study to propose the dynamic ensemble, which is a list of complexity considerations that tries to make CDST easily applicable in the field of applied linguistic research.
2. Methodology
The purpose of this study was to delve deep into the procedural, individual and contextual factors; therefore, in order to allow for the intensive concentration and observation in part of the researchers a limit of five Iranian university students who were attending their GE course (two males and three females) was decided. One of the main aims of this study is to provide evidence for the dynamic nature of LOC . Thus, deviant or extreme case sampling strategy (Dornyei, 2007) was employed in order to select our participants from the highest and lowest scoring students on a specific version of the Internal Control Index (Duttweiler, 1984) which was translated into Persian and validated for the Iranian context by Ghonsooly and Elahi (2010).
On the basis of the main purpose and the qualitative nature of this study, different types of data collection  including interviews, observation, journals, and task-motometers were applied by the researchers to ensure the data collection is done thoroughly and every environmental aspects of the participants were taken into account.
 
3. Results
The findings of this study revealed the dynamic and multidimensional nature of LOC which means it changes over and over under the influence of different situations and circumstances and in relation with some other factors. This finding is in accordance with what Larsen-Freeman (2016) asserted in her seminal paper about non-linearity and complexity of students’ behavior in classroom studies. In fact, analyzing the collected data indicated that during the process of language learning, the students experienced fluctuations in their LOC and these fluctuations occur even during a single class under the influence of different intra/interpersonal or environmental factors which is in line with what Waninge et al. (2014) introduced as the dynamic nature of psychological constructs. The dynamic nature of students’ LOC underscores the nonergodicity of human’s behavior (Lowie &Verspoor, 2019). Application of dynamic ensemble revealed the fact that the student’s LOC was under the influence of many factors.
At the micro-structural considerations level, learner’s beliefs and motivations, their positive and negative attitudes, and the students’ learning expectations affected the students’ internality and externality of LOC. It was recognized that the motivational factors and students’ positive attitudes toward the effectiveness of learning English reinforced students’ internal LOC. Learning English seemed to play an important role in helping the students reach their future goals such as traveling abroad or being accepted in higher level of educational degrees. These sorts of motivating factors helped the students try more and be more self-reliant and it helped them believe today’s struggles would positively affect their future.
In addition, the students’ beliefs about the teacher’s responsibility were among the factors which in most cases led them towards being externalizers. The source of this effect was in the teaching expectations that the students had but they received little or no answer to these expectations on the part of their teacher. The students’ increased knowledge was another motivating factor which helped the students to rely on themselves and consequently become internalizers. This finding is in accordance with what Peek (2016) highlights about the positive effects of students’ knowledge and learning skills on their internal LOC.
At the micro-structural considerations level, cognitive, linguistic, and affective factors influenced the students’ LOC differently. It was indicated that the students with rich background knowledge were more internalizers. However, in some occasions the knowledgeable students preferred to be silent to immune themselves from their classmates’ laughter and judgements.  Furthermore, topical interest in some of the tasks was another reason for making the students internalizer. Also, speaking in front of the others, being laughed at, and negative judgment by teachers as well as classmates were among the affective factors making students’ more externalizers.
 We also found that curriculum design and course assessment were sometimes planned in a way that hurt students’ full concentration on the process of learning (e.g., being tired due to  participation in hard practical classes just before attending their English language classes) and led them towards being externalizers.
 
 

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Inertial stabilization of a sensor mounted on non-stationary platforms is an important task in many applications such as image processing, astronomical telescopes, and tracking systems. For this purpose, some type of gimbaling arrangements is typically used. For implementing the LOS stabilization, usually a two-axes gimbal system is used which the sensor is mounted in the inner gimbal. The dynamic modeling and designing the control system for two axes gimbal system have been studied extensively, but there is a few works on three axes gimbal system. In this paper, the equation of motion for a three axes gimbal system is derived by the moment equation. The effect of angular velocities of the base into the gimbaled dynamic system and cross-coupling between gimbals are presented. In addition, some critical notes are presented for constructing the gimbal assembly. Moreover, a model based control strategy is proposed for controlling the gimbal dynamics.   .  

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Dyadic Data Analysis (DDA) has been suggested, in the existing literature, to be used to explore interpersonal variables which have long been conventionally investigated in isolation. DDA is effective in analyzing procedures that go on among dyads in studies of family relations, partnership, teacher-student affairs, and many other interpersonal relationships. Illustrative examples come from psychological, behavioral, and sociological studies that help develop the researcher's ability to investigate relationship processes, model and test for the effects of actors, partners, and relationships, and control for the statistical inter-dependence which can be conceived between partners. The present paper first reviews the distinctive features of DDA and the potential advantages it can have for language studies. Also, it shows how longitudinal DDA is strongly needed in the investigation of L2 affective variables in the Second Language Acquisition (SLA) domain to longitudinally explore the dynamic and developmental nature of language learners’ affective factors. Finally, it goes on with making suggestions for a future line of inquiry using this innovative analytic procedure and ends with several conclusive remarks about this analytical framework which is compatible with the complexity of dynamic systems theory (CDST).
 

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Most of structural failures are because of break in consisting materials. Beginning of these breaks is with crack which extension of them is a serious threat to behavior of structure, so the methods of distinguishing and showing of cracks are most important subjects which are being investigated. In this article, a new smart portable mechanical system to detect damage in beam structures form using fuzzy-genetic algorithm is introduced. Acceleration-time history of the three point of beam is obtained. The signals are then decomposed into smaller components using new EMD (Empirical Mode Decomposition) method with every IMF containing a specific range of the frequency. The dominate frequencies of the structure are obtained from these IMFs using Short-Time Fourier transform. Subsequently, a new method of damage detection in simply supported beams is introduced based on fuzzy-genetic algorithm. The new method is capable of identifying the location and severity of the damage. This algorithm is developed to detect the location and severity of the damage along the beam, which can detect the damage location and severity based on the pattern of beam frequency variations between undamaged and damaged states.

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An effective way to enhance the system reliability is to develop a fault detection algorithm to perform the monitoring task instantly. In a dynamic system, fault is defined as any deviation from a desired operating condition. According to system dimensions, there are different architectures to implement fault detection algorithm including centralized, decentralized and distributed. In this paper, a centralized approach is designed using multi sensor data fusion technique based on Hybrid Extended Information Filter (HEIF). This approach has the advantages of both existing algorithms, the Hybrid Extended Kalman Filter (HEKF) and the Information Filter (IF). Similar to HEKF, it has better performance compared to conventional Kalman filter and as the IF, it can be implemented non-centrally. The proposed centralized algorithm is more efficient for low-order nonlinear dynamic systems. It is also important for the high-order systems because it is the basis for performance comparison of non-central approaches. This approach not only enables us to distribute the algorithm for non-central schemes, but is also superior to the conventional Kalman filter in precision and computational burden with a same convergence speed which helps to move toward a real time implementation. It also acts more timely in fault detection task. In this work, in addition to improved results, we are going to establish a basis for further investigation in large-scale systems.

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Knowledge sharing is one of the essential processes for implementing knowledge management and it would be accruing when helping others or learning for new capabilities. Nowadays, using organizational knowledge and sharing knowledge among knowledge-oriented organizations, employees has been considered to be a competitive advantage and along maintaining them. In order to achieve better situations and status, organizations and institutions follow some models and solutions to identify and simulate knowledge sharing motivational policies. Therefore this study was defined and presented to examine knowledge sharing motivational factors in organization. So, we aimed to examine knowledge sharing motivational factors using system dynamics method. At the beginning, we identified knowledge sharing motivational and non-motivational factors based on literature review and interviewing experts. Then, dynamic model was drawn based on dynamic systems methodology. After validating and verifying the model, research questions were answered in conclusion chapter.

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