Objective: According to cognitive models, maladaptive beliefs play a major role in social anxiety disorder and can lead to dysfunctional behavioral reactions and emotion dysregulation. This study examines the mediating role of emotion regulation strategies in the relationship of beliefs about emotions and emotion regulation self-efficacy with social anxiety.  Method: 650 college students from ...

some numerical and experimental investigations are made on the performance of five different hyperelastic constitutive models (second order polynomial, yeoh, arruda-boyce, ogden and marlow) in tension and compressionmodes. first, the results of the tensile and compression tests on a rubber sample were used to determine the parameters of the models by curve fitting methods. next, by using an alg...

This paper discusses ongoing work towards a theoretical basis intended to facilitate the development of self-regulating adaptive systems. Self-regulation refers to the capacity of the system to assess the effects of, and modify, its own adaptive behaviour in prescribed ways at run-time. Although not new, the concept of self-regulation is largely missing from existing adaptive systems, arguably ...

A self-adaptive mesh method is proposed for the numerical simulations of the Camassa-Holm equation based on its integrable semi-discretization. It is an integrable scheme, possessing the N-soliton solution (see J. Phys. A, 41 355205). Moreover, it is called a self-adaptive mesh method, because the non-uniform mesh is driven and adapted automatically by the solution. Once the non-uniform mesh is...

In this paper, we devise an efficient algorithm for clustering market-basket data items. Market-basket data analysis has been well addressed in mining association rules for discovering the set of large items which are the frequently purchased items among all transactions. In essence, clustering is meant to divide a set of data items into some proper groups in such a way that items in the same g...

A directional-split, modular, user-friendly grid point distribution code is applied to several test problems. The code is self-adaptive in the sense that grid point spacing is determined by user-specified constants denoting maximum and minimum grid spacings and constants relating the relative influence of smoothness and orthogonality. Estimates of truncation error, in terms of flow-field gradie...

The cuckoo search algorithm (CS) is a simple and effective global optimization algorithm. It has been applied to solve a wide range of real-world optimization problem. In this paper, the proposed method uses two new mutation rules based on the rand and best individuals among the entire population. In order to balance the exploitation and exploration of the algorithm, the new rules are combined ...

This paper presents a novel method for indoor localization, developed with the main aim of making it useful for real-world deployments. Many indoor localization methods exist, yet they have several disadvantages in real-world deployments-some are static, which is not suitable for long-term usage; some require costly human recalibration procedures; and others require special hardware such as Wi-...

We suggest and analyze a new self-adaptive method for solving general mixed variational inequalities, which can be viewed as an improvement of the method of Noor 2003 . Global convergence of the new method is proved under the same assumptions as Noor’s method. Some preliminary computational results are given to illustrate the efficiency of the proposed method. Since the general mixed variationa...

To solve the problem of user trajectory prediction in the mobile communication environment, we proposed a self-adaptive trajectory prediction method (ATPDC) based on density clustering. And it consists of two stages which are trajectory modeling stage and trajectory updating stage respectively. In the first stage, it constructs the user trajectory prediction model by clustering historical traje...