Optimal missing data estimation algorithms including deblurring and denoising are designed to restore images captured from large CCD sensor arrays using butting technique, where 1 to 2 columns of data are missed at the butting edge. We developed consistency method with separable deblurring to estimate the missing data. This method converts an ill-posed restoration problem into a well-posed one ...

Objective: The present study aims at investigating the effects of behavioral therapy techniques through operant conditioning and observational learning on children’s aggression aged 4-6 years.  Methods: To this end, a pretest-posttest quasi-experimental study with two experimental groups and a control group was designed. We used non-probability purposive sampling method to select 45...

Introduction: According to previous studies, colchicine causes neuronal destruction and learning depression. In this project, effects of colchicine injection into the CA1 and interaction between colchicine and nitric oxide (NO) in this area on the expression of drug-seeking behavior were investigated. Methods: Wistar rats (250-300 g) were bilaterally cannulated at the CA1 area. Colchicine (2...

2 Summary In this chapter, we review data from appetitive conditioning studies using measures of pavlovian approach behaviour and of the effects of pavlovian conditioned stimuli on instrumental behaviour, including the pavlovian-to-instrumental transfer effect and conditioned reinforcement. These studies consistently demonstrate double dissociations of function between the basolateral area and ...

Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we consider complex queries involving conditioning (e.g., selections and group by’s) and aggregation operations on uncertain data streams. To characterize the uncertainty of answers to these queries, one generally has to c...