state-of-the-art psychotherapy for anxiety disorders represents some of the most efficacious treatments in the mental health literature. nevertheless, these treatments are not panacea. too many patients drop out of treatment, response rates leave room for improvement, and residual symptomatology is common. the quest to improve therapy for patients suffering from mental disorders necessitates on...

We use auxiliary principle technique coupled with iterative regularization method to suggest and analyze some new iterative methods for solving mixed variational-like inequalities. The convergence analysis of these new iterative schemes is considered under some suitable conditions. Some special cases are also discussed. Our method of proofs is very simple as compared with other methods. Our res...

We have developed SPICKER, a simple and efficient strategy to identify near-native folds by clustering protein structures generated during computer simulations. In general, the most populated clusters tend to be closer to the native conformation than the lowest energy structures. To assess the generality of the approach, we applied SPICKER to 1489 representative benchmark proteins </=200 residu...

This paper deals with the introduction of a fuzzy over-relaxed proximal point iterative scheme based on H(·, ·)-cocoercivity framework for solving a generalized variational inclusion problem with fuzzy mappings. The resolvent operator technique is used to approximate the solution of generalized variational inclusion problem with fuzzy mappings and convergence of the iterative sequences generate...

The extensive research leveraging RGB-D information has been exploited in salient object detection. However, visual cues appear various scales and resolutions of RGB images due to semantic gaps at different feature levels. Meanwhile, similar patterns are available cross-modal depth as well multi-scale versions. Cross-modal fusion refinement still an open problem detection task. In this paper, w...

This paper outlines the changes necessary to convert the iterative guided spectral class rejection (IGSCR) classification algorithm to a soft classification algorithm. IGSCR uses a hypothesis test to select clusters to use in classification and iteratively refines clusters not yet selected for classification. Both steps assume that cluster and class memberships are crisp (either zero or one). I...