today, women`s social health has become an important and critical issue. social health is the reflection of society`s conditions and it is derived from multiple social factors. intervention in these factors is beyond the medical profession and sociologists are required in this field. on the other hand, trust has become a vital topic in human communities in the present era. considering the effec...

the main purpose of this paper is to explore the relationship between organizational trust and organizational justice components and their role on job involvement. the method of this research is descriptive and co-relational, and the statistical sample contains 350 employees and managers of education in meybod and ardakan (yazd). data collected by moorman's (1999) organizational justice qu...

BURGOON AND HER COLLEAGUES have identified seven dimensions of communication: dominance-submission, emotional arousal, composure, similarity, formality, task versus social orientation, and intimacy (Burgoon, Buller, Hale, & DeTurck, 1984; Burgoon & Hale, 1984). Intimacy is the broadest and most often studied dimension; it includes the themes of trust, depth, affection, intensity, and receptivit...

A model for optimizing the sampling of the Fourier Transform of a function is presented, together with a sequential semi-definite trust region strategy, and an implementation using the open-source solver CSDP. Numerical performance correlates with increasing dimension and decreasing number of non-zero function values. Simulation of an application to multi-dimensional NMR (used to study to prote...

Recent advances in combining deep learning and Reinforcement Learning have shown a promising path for designing new control agents that can learn optimal policies for challenging control tasks. These new methods address the main limitations of conventional Reinforcement Learning methods such as customized feature engineering and small action/state space dimension requirements. In this paper, we...

A recently proposed trust-region approach for bound-constrained nonlinear equations is applied to the KKT systems arising from the discretization of a class of PDE-constrained optimization problems. Two different implementations are developed that take into account the large dimension and the special structure of the problems. The linear algebra phase is analyzed considering the possibility of ...

We propose an incomplete Cholesky factorization for the solution of large-scale trust region subproblems and positive definite systems of linear equations. This factorization depends on a parameter p that specifies the amount of additional memory (in multiples of n, the dimension of the problem) that is available; there is no need to specify a drop tolerance. Our numerical results show that the...

Gaussian particles provide a flexible framework for modelling and simulating three-dimensional star-shaped random sets. In our framework, the radial function of the particle arises from a kernel smoothing, and is associated with an isotropic random field on the sphere. If the kernel is a von Mises–Fisher density, or uniform on a spherical cap, the correlation function of the associated random f...

Energy efficiency, one of the key factors for sensor network, is a challenging work. It is agreed that sink routing is the main influencing factor for energy efficiency and selecting an optimal routing path becomes critical. It is hard for source participant (sink nodes, namely trustor) to select a trustworthy target participant (data collecting sensor nodes, namely trustee), especially when th...