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The purpose of this paper is to determine the temperature distribution of a thin rectangular plate made of thermosensitive functionally graded (FG) material. By finding out thermal deflection and stress resultants, the thermal stresses have been obtained and analyzed.

Initially, the rectangular plate is kept at the surrounding temperature. The upper, lower and two parallel sides (y=0, b and z=0, c) are thermally insulated, while other parallel sides (x=0, a) are given convective-type heating, that is, the rate of change of the temperature of the rectangular plate is proportional to the difference between its own temperature and the surrounding temperature. The non-linear heat conduction equation has been converted to linear form by introducing Kirchhoff’s variable transformation and the resultant heat conduction equation is solved by integral transform technique with hyperbolic varying point heat source.

A mathematical model is prepared for FG ceramic–metal-based material, in which alumina is selected as the ceramic and nickel as the metal. The thermal deflection and thermal stresses have been obtained for the homogeneous and nonhomogeneous materials. The results are illustrated numerically and depicted graphically for comparison. During this study, one observed that variations are seen in the stresses, due to the variation in the inhomogeneity parameters.

The paper is constructed purely on theoretical mathematical modeling by considering various parameters and functions.

This type of theoretical analysis may be useful in high-temperature environments like nuclear components, spacecraft structural members, thermal barrier coatings, etc., as the effect of temperature and evaluation of temperature-dependent and nonhomogeneous material properties plays a vital role for accurate and reliable structural analysis.

In this paper, the authors have used thermal deflection and resultant stresses to determine the thermal stresses of a thin rectangular plate with temperature- and spatial variable-dependent material properties which is a new and novel contribution to the field.

A direct numerical simulation with turbulent transport of a scalar quantity has been carried out to grasp and understand a laminarization phenomena caused by a pipe rotation. In this study, the Reynolds number, which is based on a bulk velocity and a pipe diameter, was set to be constant; Re_b=5283, and the rotating ratios of a wall velocity to a bulk velocity were set to be 0.5, 1.0, 2.0 and 3.0. A uniform heat‐flux was applied to the wall as a thermal boundary condition. Prandtl number of the working fluid was assumed to be 0.71. The number of computational grids used in this study was 256×128×128 in the z‐, r‐ and ϕ‐ directions, respectively. The turbulent quantities such as the mean flow, temperature fluctuations, turbulent stresses and pressure distribution and the turbulent statistics were obtained. Moreover, the Reynolds stress and the scalar flux budgets were also obtained for each rotating ratio. The turbulent drag decreases with the rotating ratio increase. The reason of this drag reduction can be considered that the additional rotational production terms appear in the azimuthal turbulence component. The contributions of convection and production terms to the radial scalar flux budget and also to the balance with temperature‐pressure gradient term are significant. The dissipation and viscous diffusion terms are negligible in higher rotating ratio.

The purpose of this paper is to examine the relationship between foreign aid and income inequality (IIQ) reduction for 16 African countries using unbalanced panel data covering the period 1990–2011. This paper attempts to answer the critical question: does foreign aid lead to IIQ reduction?

To examine the effect of foreign aid on IIQ, this paper uses an RE model with robust OLS regression and system-GMM estimator, which are useful in dealing with the endogeneity problems.

Results of RE model indicate that foreign aid, foreign direct investment, trade openness as well as corruption have a positive and statistically significant effect on IIQ. Government spending and inflation have a negative and statistically significant effect on IIQ, while GDP per capita growth has a negative but statistically insignificant relationship with IIQ. The results are robust by using system-GMM dynamic panel model which confirms that the coefficients of all considered variables remain same sign and significance.

This study implies that an increase in foreign aid is associated with an increase in IIQ. As an effective strategy to foreign aid, this paper suggests that improving of financial sector development, and institutional quality and policies can reduce income inequalities and stimulate economic growth.

This paper is the first of its kind to empirically explore the relationship between IIQ and foreign aid measured here by net aid transfers as a share of GDP in African countries, using modern econometric techniques, time period and a variety of control variables.

Changing immigration patterns in the USA have led to a growing number of “new immigrant destinations.” In these contexts, opportunities for teacher learning are crucial for developing the school capacity to serve the academic, linguistic and socio-cultural needs of immigrant students. In response, the purpose of this paper is to examine how schools in Wisconsin provided both formal and informal teacher learning opportunities to develop the instructional capacity to support recent immigrants, specifically Spanish-speaking English language learners (ELLs).

Using descriptive analyses of teacher and administrator survey and interview data, this study examined the focus and within-school distribution of formal professional development, as well as teacher collaboration as a mechanism for informal learning.

Most commonly, professional development focused on concrete strategies teachers might enact in their classrooms, rather than developing broader understandings of the needs of immigrant students. In addition, formal professional development commonly targeted particular groups of teachers, rather than faculty as a whole. Finally, general education-ELL teacher collaboration was most often deployed “as needed” and focused on particular student needs, rather than systematically.

Future work might address the limitations of this study by examining teacher learning opportunities in new immigrant destinations in other locales, the quality and effectiveness of such opportunities, and other mechanisms for the distribution of expertise.

Findings suggest the need for more systematic and integrated approaches to teacher learning in new immigrant destinations, with an emphasis on pushing beyond the short-term need for instructional strategies to develop more holistic, collaborative approaches to integrating ELLs into schools and classrooms.

This chapter overviews organizational neuroscience (ON), covering the past, present, and future of this growing field of inquiry. First, we define ON and clarify the boundaries of the field. Second, we describe the evolution of ON by starting with early papers that tended to discuss the potential of ON to benefit both research and practice. Throughout its development, debates have abounded about the value of ON. Such debates are often related to challenges in collecting, integrating, interpreting, and using information from the brain-level of analysis. It is time for the field to move beyond these debates to focus on applying neuroscience to further theory development and reveal more comprehensive answers to research questions of importance to both academics and practitioners. Third, we propose and describe future research directions for ON. The research directions that we propose are merely a sample of the many paths along which ON inquiry can move forward. Fourth, we outline potential practical implications of ON, including: training and development, job design, high-performance assessment, motivating communications, and conflict prevention. Finally, we draw conclusions about ON as it stands today, address challenges in developing ON, and point out opportunities. We conclude with takeaways and highlight the importance of ON for both academics and practitioners.

The purpose of this paper is to boost the existing literature on adaptive market hypothesis (AMH) as it first time links predictability of gold, silver and metal returns with AMH which permits the predictability of returns to vary over time.

To know whether commodity (gold, silver and metal) market is efficient or not, the commodity returns are observed by using appropriate linear time series tests (variance ratio test, runs test and auto-correlation test). To capture the varying efficiency of three commodities, the study employs subsamples of five years and all sub-samples are exposed to linear econometric tests to reveal how market efficiency (independency of returns) has behaved over time.

It is found that the commodity market (gold, silver and metal) is adaptive because fluctuation is observed in the market efficiency. Returns of all three commodities go under the periods of efficiency and inefficiency. Thus, AMH is the better description of behavior of commodity markets than traditional efficient market hypothesis.

Choice of sub-sample in the study is the first limitation as the authors employ a sub-sample comprising five years. Second, commission, fee and taxes (transection cost) are ignored in the study. Finally, the results are reported on the basis of linear econometric tests. In future, longer time period sub-sample analysis is suggested by the study to explore the varying nature of the commodities. Moreover, rolling window analysis may be a more appropriate method to elucidate the idea of AMH in further research. It is further suggested that the method used in the study could be helpful and adapted to examine other commodities (metal and agriculture), bonds and equity markets around the world.

The study will provide a better investment model which can enable the investors to seek more returns in future. Moreover, this research can be extended to explore multiple issues like adaptive behavior of returns from crypto currencies, bonds, stocks and real estate investment trusts.

As all the linear tests reveal that almost all the commodities show inefficient behavior in full sample period, it is clear that past prices widely would be helpful to predict the future prices at NYSE; furthermore, investors can use the time-varying information to reduce the risk of investment at NYSE. The study is helpful for individual investors as well as portfolio managers and brokers to forecast the prices on the bases of findings.

The paper identifies the need to study why behavior of commodity returns varies over time.

This chapter aims to (1) examine the effect of full-time employees’ STARA awareness on innovative work behavioural intentions in US casual dining restaurants; (2) investigate the mediating roles of employees’ challenge–hindrance appraisals of STARA awareness on the relationship between their STARA awareness and innovative work behavioural intentions; (3) compare the group differences between management employees and non-management employees; and (4) provide recommendations for the casual dining restaurants.

This chapter employed an online survey to collect data from 609 full-time employees in US casual dining restaurants, including 306 management employees and 303 non-management employees. Partial least squares–structural equation modelling was applied for data analysis. The results reveal that the high levels of employees’ STARA awareness raise innovative work behavioural intentions through the mediations of challenge appraisal of STARA awareness.

The proposed conceptual framework and empirical findings in this chapter enrich the literature of cognitive appraisal theory, transactional model and stress, two-dimensional stressor framework, and person-environment fit theory. Employees’ challenge appraisal of STARA awareness makes the job insecurity stressor to drive innovative work behavioural intentions. As STARA adoption deepens in casual dining restaurants, managers need to be aware of full-time employees’ stress and psychological responses towards STARA adoption. Restaurants are suggested to provide employees with adequate resources and support to help employees’ professional competency growth. The capable employees will appraise the job insecurity stressor induced by STARA adoption as an opportunity and be motivated to perform innovatively in the workplace. The casual dining restaurants may enjoy a competitive advantage in the market through value-added innovative activities.

The paper aims to examine the nature of competition within an industry by proposing and examining three separate sources of competitive heterogeneity: the strategies that industry members use, the performance that they obtain, and how effectively the strategies are utilized to obtain such performance results.

To do so, a restricted latent structure finite mixture model is devised that can quantify the contribution of these three potential sources of heterogeneity in the formulation of latent competitive groups within an industry. The paper illustrate this modeling framework with respect to COMPUSTAT strategy and performance data collected for public banks in the USA.

The paper shows how traditional conceptualizations via strategic or performance groups are inadequate to fully represent intra‐industry heterogeneity.

This research paper proposes a new class of restricted finite mixture‐based models, which fit a variety of alternative forms/models of heterogeneity. Information heuristics are developed to indicate “best model.”