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Learning to teach effectively is a complex enterprise, and many efforts have been made in order to conceptualise the challenging work of teaching by identifying fundamental teaching practices. Findings reported from structured literature reviews on lesson study have revealed that incorporating a lesson study approach in Initial Teacher Education is challenging. This chapter considers how lesson study might adapt fundamental teaching practices and make use of new tools to enhance lesson study as an approach for improving student-teachers’ teaching practice. The four tools discussed here are lesson study with given activities, practicing talk moves in lesson study, rehearsing research lessons and research lessons with time-outs. The authors argue that these activities are tools which can help student-teachers enhance their learning of the complex work of teaching when involved in lesson study cycles. To illustrate these approaches, we use examples from the teaching of mathematics.

This paper aims to propose a new linear parameter varying (LPV) controller for the robot tracking control problem. Using the identification of the robot dynamics in different work space points about modeling trajectory based on the least square of error algorithm, an LPV model for the robotic arm is extracted.

Parameter set mapping based on parameter component analysis results in a reduced polytopic LPV model that reduces the complexity of the implementation. An approximation of the required torque is computed based on the reduced LPV models. The state-feedback gain of each zone is computed by solving some linear matrix inequalities (LMIs) to sufficiently decrease the time derivative of a Lyapunov function. A novel smoothing method is used for the proposed controller to switch properly in the borders of the zones.

The polytopic set of the resulting gains creates the smooth switching polytopic LPV (SS-LPV) controller which is applied to the trajectory tracking problem of the six-degree-of-freedom PUMA 560 robotic arm. A sufficient condition ensures that the proposed controller stabilizes the polytopic LPV system against the torque estimation error.

Smoothing of the switching LPV controller is performed by defining some tolerances and creating some quasi-zones in the borders of the main zones leading to the compressed main zones. The proposed torque estimation is not a model-based technique; so the model variation and other disturbances cannot destroy the performance of the suggested controller. The proposed control scheme does not have any considerable computational load, because the control gains are obtained offline by solving some LMIs, and the torque computation is done online by a simple polytopic-based equation.

In this paper, a new SS-LPV controller is addressed for the trajectory tracking problem of robotic arms. Robot workspace is zoned into some main zones in such a way that the number of models in each zone is almost equal. Data obtained from the modeling trajectory is used to design the state-feedback control gain.

Poor health-related quality of life (HRQoL) is one of the important issues in the health sector. The purpose of this paper is to investigate the prevalence and socio-economic inequality in poor HRQoL in Tehran city, Iran.

In total, 562 adults were included in this cross-sectional study. The cluster sampling method was used for data collection from May to June, 2016 in Tehran city, Iran. Data on HRQoL, using EuroQol 5-dimensions questionnaire, and data on socio-economic and demographic variables were gathered. Convenience regression method was performed to measure the concentration index (CI). Decomposition analysis was performed to determine the contribution of variables on socio-economic inequality in poor HRQoL. All analyses were performed by Stata v.14.

The prevalence of poor HRQoL was 28.3 percent. The value of CI for “poor HRQoL” was −0.299 (95% confidence interval: −0.402 to −0.195). Socio-economic status (SES) was the largest contributor to socio-economic inequality in poor HRQoL (69.44 percent of inequality was explained by SES). Age, obesity and race had a positive contribution to socio-economic inequality in poor HRQoL among the participants. Nonetheless, sex and smoking intensity had a negative contribution to inequality in poor HRQoL.

There is little evidence about the prevalence of poor HRQoL in insured people. This study provided new evidence in this area through the investigation of socio-economic inequality in poor HRQoL and its determinants among people with health insurance in Iran using decomposition analysis.

A direct power control (DPC) of the doubly-fed induction generator (DFIG) is presented. A new method, which is based on the rotation of the space sector, clockwise or vice versa, is proposed to improve the performance of the switching table. Then, it is combined with a fuzzy system to have advantages of both rotation sector and fuzzy controller. The paper aims to discuss these issues.

In this paper, a new DPC of the DFIG is presented. To improve the performance of the switching table, a new method is proposed. The method is based on the rotation of the space sector, clockwise or vice versa. The excellence of the proposed method is proven. Then, it is shown that the performance of the system can be enhanced by using a fuzzy logic controller. The rotation method is combined with a fuzzy system.

Simulation shows that although sector rotation and fuzzy controller can improve the performance of the DFIG, a combination of both demonstrates a smoother response in order that reactive and active power ripples and THD of the injected current decrease in different speeds. Also, it is demonstrated that the proposed method is robust against parameters variations. However, a hardware experiment should be performed to be practically verified.

A sector rotation is proposed and its effect on the performance of the DFIG is considered. A simple method to write rules table is presented and the performance of sector rotation and fuzzy controller on the DFIG is analysed.

This paper aims to analyze the influence of the changings in geometrical parameters on the aerodynamic performance of the control canard projectiles.

Because of the mentioned point, the range of projectiles increment has a considerable importance, and the design algorithm of a control canard projectile was first written. Then, were studied the effects of canard geometric parameters such as aspect ratio, taper ratio and deflectable nose on lift to drag coefficient ratio, static margin based on the slender body theory and cross section flow.

The code results show that aspect ratio increment, results in an increase in lift-to-drag ratio of the missile, but increase in canard taper ratio results in increasing of lift-to-drag ratio at 1° angle of attack, while during increasing the canard taper ratio up to 0.67 at 4° angle of attack, lift to drag first reaches to maximum and then decreases. Also, static margin decreases with canard taper ratio and aspect ratio increment. The developed results for this type of missile were compared with same experimental and computational fluid dynamic (CFD) results and appreciated agreement with other results at angles of attack between 0° and 6°.

To design a control canard missile, the effect of each geometric parameter of canard needs to be estimated. For this purpose, the suitable algorithm is used. In this paper, the effects of canard geometric parameters, such as aspect ratio, taper ratio and deflectable nose on lift-to-drag coefficient ratio and static margin, were studied with help of the slender body theory and cross-section flow.

The contribution of this paper is to predict the aerodynamic characteristics for the control canard missile. In this study, the effect of the design parameter on aerodynamic characteristics can be estimated, and the effect of geometrical characteristics has been analyzed with a suitable algorithm. Also, the best lift-to-drag coefficient for the NASA Tandem Control Missile at Mach 1.75 was selected at various angles of attack. The developed results for this type of missile were compared with same experimental and CFD results.

The focus and goal of this chapter is to systematically detail how the “cascade” system is organized and how it operates by coordinating current research. To do so, this chapter first builds an understanding of the historical conditions that forged the “cascade” system, then turns to how the system operates – charting its affordances and limitations through others’ research – and then discusses what opportunities can be leveraged to support teachers’ work. In doing so, this chapter provides relevant information and documentation about the “cascade” system so that readers can understand how this system currently works and what is possible. Two interpretations are made from the analysis of current research. First, the “cascade” is overwrought with voices, and the participants overwhelmed; and second, the “cascade” fosters an untenable view of how people learn and what constitutes teaching. Increasingly, teachers and their education are being widely recognized as central to the fortunes of schoolchildren. In India, a significant amount of attention is being paid to teacher education more than ever before. For example, the recent 5-year planning and operations budget is being touted as the “Teacher Education Plan.” Thus, probing the existing system and its norms and practices is vital to ensuring this attention isn’t frittered away and is put toward helping teachers step up to the challenge of providing all students rich opportunities to learn.

The Russia–Ukraine war has disrupted the wheat supply worldwide. Given that wheat is one of the most important agri-food products in the world, it is necessary to pay attention to the wheat supply chain during the global crises. The use of resilience strategies is one of the solutions to face the supply chain disruptions. In addition, there is a possibility of multiple crises occurring in global societies simultaneously.

In this research, the resilience strategies of backup suppliers (BS) and inventory pre-prepositioning (IP) were discussed in order to cope with the wheat supply chain disruptions. Furthermore, the p-Robust Scenario-based Stochastic Programming (PRSSP) approach was used to optimize the wheat supply chain under conditions of disruptions from two perspectives, feasibility and optimality.

After implementing the problem of a real case in Iran, the results showed that the use of resilience strategy reduced costs by 9.33%. It was also found that if resilience strategies were used, system's flexibility and decision-making power increased. Besides, the results indicated that if resilience strategies were used and another crisis like the COVID-19 pandemic occurred, supply chain costs would increase less than when resilience strategies were not used.

In this study, the design of the wheat supply chain was discussed according to the wheat supply disruptions due to the Russia–Ukraine war and its implementation on a real case. In the following, various resilience strategies were used to cope with the wheat supply chain disruptions. Finally, the effect of the COVID-19 pandemic on the wheat supply chain in the conditions of disruptions caused by the Russia–Ukraine war was investigated.

This chapter discussed the role of business intelligence (BI) in healthcare twofold strategic decision making of the organization and the stakeholders. The visualization techniques of data mining are applied for the early and correct diagnosis of the disease, patient’s satisfaction quotient and also helpful for the hospital to know their best commanders.

In this chapter, the usefulness of BI is shown at two levels: at doctor level and at hospital level. As a case study, a hospital is taken which deals with three different kinds of diseases: Breast Cancer, Diabetes, and Liver disorder. BI can be applied for taking better strategic decisions in the context of hospital and its department’s growth. At the doctor level, on the basis of various symptoms of the disease, the doctor can advise the suitable treatment to the patients. At the hospital level, the best department among all can be identified. Also, a patient’s type of admission, continued their treatments with the hospital, patient’s satisfaction quotient, etc., can be calculated. The authors have used different methods like Correlation matrix, decision tree, mosaic plots, etc., to conduct this analysis.

Supply chain management (SCM) research has contributed to the transition to a circular economy (CE). Still, confusions exist on the related terms, and no review has mapped out the development trends in the domain. This research clarifies the boundaries of the relevant concepts. Then, it conducts a comprehensive review of the circular SCM (CSCM) literature and identifies opportunities for future research.

Using relevant keywords, 1,130 journal articles published in December 31, 2021 were identified. Unlike the published reviews, which mainly relied on content analysis, this review uses bibliometric analysis tools, including citation analysis, co-citation analysis and cluster analysis. The review identifies general trends, influential researchers, high-impact publications, citation patterns and established and emergent research themes.

The extant CSCM literature includes five prominent clusters: (1) reverse channel optimization; (2) CSCM review and empirical studies; (3) closed-loop supply chain (CLSC) and consumers; (4) CLSC and inventory management and (5) CLSC and reverse logistics (RL). Significant research gaps exist in the use of secondary and longitudinal data, a wider range of theories, mixed-methods, multi-method, action research and behavioral experiment. The least researched topics include zero waste, industrial symbiosis, circular product design, sourcing and supply management and reuse.

This is the first bibliometric analysis-based literature review on CSCM. It clarifies the interrelated supply chain sustainability terms and thus reduces related confusion. It offers insights into the patterns in the CSCM literature and suggests important research directions.

The purpose of this study is to investigate the effect of product market competition and corporate governance on firm’s management performance in the Tehran Stock Exchange market. According to the research literature, the governance mechanisms used in this study consist of ownership structure, structure of the board of directors and capital structure. In addition, Herfindahl–Hirschman Index and market size were used to measure the product market competition.

This study used one selected sample among the firms in the capital market of Iran from 2004 to 2012.

The results of this study indicated that there is a significant relation among the major governance mechanisms (including ownership concentration, independence of the board of directors and debt ratio) and product market competition and management performance. The findings of this study also showed that product market competition is effective on the relation between corporate governance and the performance, and this is what has been ignored in most of the conducted studies.

In general, the results of this study supported the idea that product market competition is effective on implementation and efficiency of governance mechanisms.