The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Luin Wang - One of the best experts on this subject based on the ideXlab platform.
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Explicit Expression of anti black biases in the full service restaurant industry legal responsibilities and risks
International Journal of Hospitality Management, 2020Co-Authors: Zachary W Brewster, Luin WangAbstract:Abstract Anecdotes detailing racial prejudices and discriminatory treatment of Black Americans while dining in full-service restaurants surface routinely in the popular press. These anecdotes are buttressed by a small number of studies documenting evidence of racist language and observed mistreatment of Black restaurant customers. In an effort to further explore the pervasiveness and correlates of such Explicit Expression of anti-Black biases in restaurant workplaces, this study presents findings from an online survey that was administered in two independent, large, and demographically diverse samples of current restaurant employees. We find that on average between 15 % (Qualtrics sample) and 24 % (Facebook sample) of participants agreed with statements indicating that racist language and discrimination against Black customers is common in the restaurants where they work. We explore the individual and organizational correlates of such Explicit Expression of anti-Black biases in restaurant workplaces and highlight the associated legal ramifications. We conclude by encouraging restaurateurs to take action against manifestations of racial prejudice in their establishments in order to fulfill their legal responsibilities to both their customers and their employees and thereby to minimize the threat of litigation.
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Explicit Expression of anti black biases in the full service restaurant industry legal responsibilities and risks
Social Science Research Network, 2020Co-Authors: Zachary W Brewster, Luin WangAbstract:Anecdotes detailing racial prejudices and discriminatory treatment of Black Americans while dining in full-service restaurants surface routinely in the popular press. These anecdotes are buttressed by a small number of studies documenting evidence of racist language and observed mistreatment of Black restaurant customers. In an effort to further explore the pervasiveness and correlates of such Explicit Expression of anti-Black biases in restaurant workplaces, this study presents findings from an online survey that was administered in two independent, large, and demographically diverse samples of current restaurant employees. We find that on average between 15% (Qualtrics sample) and 24% (Facebook sample) of participants agreed with statements indicating that racist language and discrimination against Black customers is common in the restaurants where they work. We explore the individual and organizational correlates of such Explicit Expression of anti-Black biases in restaurant workplaces and highlight the associated legal ramifications. We conclude by encouraging restaurateurs to take action against manifestations of racial prejudice in their establishments in order to fulfill their legal responsibilities to both their customers and their employees and thereby to minimize the threat of litigation. For the complete article, see the International Journal of Hospitality Management 85 (February 2020) 102435.
Zachary W Brewster - One of the best experts on this subject based on the ideXlab platform.
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Explicit Expression of anti black biases in the full service restaurant industry legal responsibilities and risks
International Journal of Hospitality Management, 2020Co-Authors: Zachary W Brewster, Luin WangAbstract:Abstract Anecdotes detailing racial prejudices and discriminatory treatment of Black Americans while dining in full-service restaurants surface routinely in the popular press. These anecdotes are buttressed by a small number of studies documenting evidence of racist language and observed mistreatment of Black restaurant customers. In an effort to further explore the pervasiveness and correlates of such Explicit Expression of anti-Black biases in restaurant workplaces, this study presents findings from an online survey that was administered in two independent, large, and demographically diverse samples of current restaurant employees. We find that on average between 15 % (Qualtrics sample) and 24 % (Facebook sample) of participants agreed with statements indicating that racist language and discrimination against Black customers is common in the restaurants where they work. We explore the individual and organizational correlates of such Explicit Expression of anti-Black biases in restaurant workplaces and highlight the associated legal ramifications. We conclude by encouraging restaurateurs to take action against manifestations of racial prejudice in their establishments in order to fulfill their legal responsibilities to both their customers and their employees and thereby to minimize the threat of litigation.
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Explicit Expression of anti black biases in the full service restaurant industry legal responsibilities and risks
Social Science Research Network, 2020Co-Authors: Zachary W Brewster, Luin WangAbstract:Anecdotes detailing racial prejudices and discriminatory treatment of Black Americans while dining in full-service restaurants surface routinely in the popular press. These anecdotes are buttressed by a small number of studies documenting evidence of racist language and observed mistreatment of Black restaurant customers. In an effort to further explore the pervasiveness and correlates of such Explicit Expression of anti-Black biases in restaurant workplaces, this study presents findings from an online survey that was administered in two independent, large, and demographically diverse samples of current restaurant employees. We find that on average between 15% (Qualtrics sample) and 24% (Facebook sample) of participants agreed with statements indicating that racist language and discrimination against Black customers is common in the restaurants where they work. We explore the individual and organizational correlates of such Explicit Expression of anti-Black biases in restaurant workplaces and highlight the associated legal ramifications. We conclude by encouraging restaurateurs to take action against manifestations of racial prejudice in their establishments in order to fulfill their legal responsibilities to both their customers and their employees and thereby to minimize the threat of litigation. For the complete article, see the International Journal of Hospitality Management 85 (February 2020) 102435.
Mojia Huang - One of the best experts on this subject based on the ideXlab platform.
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Explicit Expression of eshelby tensor for arbitrary weakly non circular inclusion in two dimensional elasticity
International Journal of Engineering Science, 2009Co-Authors: Mojia Huang, Wennan Zou, Quanshui ZhengAbstract:Abstract Any constant eigenstrain of an ellipsoidal inclusion in an infinite elastic medium results in uniform strain and stress fields in the inclusion, known as the Eshelby uniformity. The Eshelby tensor which characterizes the Eshelby uniformity plays a crucial role in micromechanics of matrix–particle composites. Since the Eshelby uniformity is not valid for any non-elliposidal inclusion and a general solution for the non-elliposidal inclusion is not available, herein we use the Fourier’s series to characterize the shape of the weakly non-circular inclusion in two-dimensional isotropic elasticity and obtain the Explicit Expression of its Eshelby tensor. We further give the Expression of the average Eshelby tensor on the inclusion. The average Eshelby tensor depends upon only the second- and the fourth-shape coefficients of the Fourier’s series. Finally, we verify these Expressions by comparing their computational results with the exact numerical results for various weakly non-circular inclusions.
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Surface Impedance Tensor and Green’s Function for Weakly Anisotropic Elastic Materials
Journal of Elasticity, 2007Co-Authors: Mojia Huang, Hua Zhan, Xiuying Liu, Meng-cheng ChenAbstract:Recently Fu and Mielke uncovered a new identity that the surface impedance tensor of any anisotropic elastic material has to satisfy. By solving algebraically a matrix equation that follows from the new identity, we derive an Explicit Expression for the surface impedance tensor, which is correct up to terms linear in the components of the anisotropic part of the elasticity tensor of the material in question. From the well-known relationship between the surface impedance tensor and the Green’s function for infinite space, we obtain an Explicit Expression for the Green’s function, which is correct up to terms linear in the components of the anisotropic part of the elasticity tensor.
Quanshui Zheng - One of the best experts on this subject based on the ideXlab platform.
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Explicit Expression of eshelby tensor for arbitrary weakly non circular inclusion in two dimensional elasticity
International Journal of Engineering Science, 2009Co-Authors: Mojia Huang, Wennan Zou, Quanshui ZhengAbstract:Abstract Any constant eigenstrain of an ellipsoidal inclusion in an infinite elastic medium results in uniform strain and stress fields in the inclusion, known as the Eshelby uniformity. The Eshelby tensor which characterizes the Eshelby uniformity plays a crucial role in micromechanics of matrix–particle composites. Since the Eshelby uniformity is not valid for any non-elliposidal inclusion and a general solution for the non-elliposidal inclusion is not available, herein we use the Fourier’s series to characterize the shape of the weakly non-circular inclusion in two-dimensional isotropic elasticity and obtain the Explicit Expression of its Eshelby tensor. We further give the Expression of the average Eshelby tensor on the inclusion. The average Eshelby tensor depends upon only the second- and the fourth-shape coefficients of the Fourier’s series. Finally, we verify these Expressions by comparing their computational results with the exact numerical results for various weakly non-circular inclusions.
Zhilong Huang - One of the best experts on this subject based on the ideXlab platform.
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Explicit Expression of stationary response probability density for nonlinear stochastic systems
Acta Mechanica, 2021Co-Authors: Xiaoling Jin, Yanping Tian, Yong Wang, Zhilong HuangAbstract:Identifying the exactly or approximately Explicit Expression of the stationary response probability density for general nonlinear stochastic dynamical systems is of great significance in the fields of stochastic dynamics and control. Almost all the existing methods are devoted to determine the exact or approximate solution for specific values of system and excitation parameters. Herein, aimed at stochastic systems with polynomial nonlinearity and excited by Gaussian white noises, a novel method is proposed to identify the stationary response probability density which Explicitly includes system and excitation parameters. The stationary probability density is first written as an exponential function according to the maximum entropy principle, the power of the exponential function is then expressed as a linear combination of prescribed nondimensional parameter clusters constituted by system and excitation parameters, and state variables, with the coefficients to be determined. The undetermined coefficients are derived by minimizing the residual of the associated Fokker-Planck- Kolmogorov equation. The application and efficacy of the proposed method are illustrated by a typical numerical example.
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identifying Explicit Expression of response probability density of nonlinear stochastic system information theoretic method
Mechanical Systems and Signal Processing, 2020Co-Authors: Yanping Tian, Xiaoling Jin, Yong Wang, Zhilong HuangAbstract:Abstract For a general nonlinear stochastic system, the response probability density possesses crucial significance for response evaluation and reliability design. The existing literatures derive the response probability density by accurately or approximately solving the Fokker-Planck- Kolmogorov equation, by searching for the equivalent system according to some criterion and approximating the probability density of the original system by that of the equivalent one, or by numerically solving the original equation of motion and giving discrete information statistically. Herein, a novel procedure is established to identify the Explicit Expression of the stationary response probability density of a general nonlinear system directly from the discrete data of samples. The stationary probability density is expressed as an exponent form with the exponential power being linear combination of base functions elaborately selected. The Shannon information entropy is then arranged as a nonlinear function of the statistical moments of base functions which are evaluated by the discrete data of samples. The undetermined coefficients of base functions are finally determined by minimizing the Shannon information entropy. Three typical examples, i.e., Duffing oscillator, van der Pol system and a frictional system (as representatives of smooth systems, electric systems and non-smooth systems, respectively), are investigated to illustrate the accuracy of this procedure, the robustness to data noise, the insensitivity to sampling interval and strength of nonlinearity, and the low requirement on the amount of data.
