Data management and machine learning are two important tasks in data science. However, they have been independently studied so far. We argue that they should be complementary to each other. On the one hand, machine learning requires data management techniques to extract, integrate, clean the data, to support scalable and usable machine learning, making it user-friendly and easily deployable. On...

Arthroscopic subacromial decompression (ASAD) is becoming a widely performed surgical procedure of the shoulder. The technique has evolved from open anterior acromioplasty as described by Neer,1,2 Hawkins et al,3,4 Rockwood,5 and Bigliani et al.6 The transition from open to arthroscopic technique entails a definite learning curve and should not be underestimated. This chapter focuses on the tec...

This paper describes a new set of learning procedures which have been proposed by the authors. The method combines active learning and the accuracy enhancement techniques of bagging and boosting, and may be called active ensemble learning. Any of these procedures achieves highly accurate learning by iteratively selecting (querying) a small amount of data with large information content from a da...

Several formal models of excitatory classical conditioning are reviewed. It is suggested that a central problem for all of them is the explanation of cases in which learning does not occur in spite of the fact that the conditioned stimulus is a signal for the reinforcer. We propose a new model that deals with this problem by specifying that certain procedures cause a conditioned stimulus (CS) t...

We have used a genetically tractable model system, the fruit fly Drosophila melanogaster to study the interdependence between sensory processing and associative processing on learning performance. We investigated the influence of variations in the physical and predictive properties of color stimuli in several different operant-conditioning procedures on the subsequent learning performance. Thes...

This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....

BACKGROUND Current methods available for assessing the learning curve, such as a predefined number of procedures or direct observation by a tutor, are unsatisfactory. A new tool, the cumulative summation test for learning curve (LC-CUSUM), has been developed that allows quantitative and individual assessment of the learning curve. METHODS Some 532 endoscopic retrograde cholangiopancreatograph...

This article focuses on educational research conducted at the newly merged UWC faculty of dentistry. The research emphasises the change in teaching methods employed to address the concerns experienced in teaching the new large classes as observed in the prosthetic techniques module. These educational interventions were conducted over 5 years and the study design included the principles of actio...