Prediction in shopping cart uses partial information about the contents of a shopping cart for the prediction of what else the customer is likely to buy. In order to reduce the rule mining cost, a fast algorithm generating frequent itemsets without generating candidate itemsets is proposed. The algorithm uses Boolean vector with relational AND operation to discover frequent itemsets and generat...

Cocaine- and amphetamine-regulated transcript (CART) encodes a neuropeptide precursor protein that is highly abundant in cells of the hypothalamus. To date, the major research focus into the function of CART peptides has been feeding behavior. However, CART mRNA is found in other areas of the brain as well as some peripheral tissues, suggesting possible broader functions of this peptide. In thi...

This paper explores the utility of an ensemble decision-tree method called random forest, in comparison with the classic classification and regression trees (CART) algorithm, for forecasting ground-level ozone pollution in the Sydney metropolitan region. Statistical forecasting models are developed to provide daily ozone forecasts in November-March for three subregions, i.e., Sydney east, Sydne...

The aim of the present study was to validate, and if necessary update, a predictive model previously developed using a classification and regression tree (CART) algorithm for predicting successful extubation (ES) using a new cohort. This prospective cohort study enrolled adults admitted to 10 intensive care units, who had successfully passed a spontaneous breathing trial (SBT) and were consider...

PURPOSE Cocaine- and amphetamine-regulated transcript (CART) peptide exerts several regulatory functions acting both as neurotransmitter and hormone. We recently showed that CART is expressed in various neuroendocrine tumors, including small bowel carcinoids. The main objective of the present study was to examine whether CART expression is associated with survival in patients with small bowel c...

Human gait analysis can provide an excellent source for identifying and predicting pathologies injuries. In this respect, sensorized insoles also have a great potential extracting information. This, combined with mathematical techniques based on machine learning (ML), potentialize biomechanical analyses. The present study proposes proof-of-concept of system vertical ground reaction force (vGRF)...

It was demonstrated in 1964 by F.W. Smith and B. Widrow that a neural network used as an adaptive controller could be trained to stabilize an inverted pendulum fixed to a non-stationary platform or cart (the "broom-balancer"). The critical state variables (pendulum angle, pendulmn angular velocity, cart position, cart velocity) were measured and fed to the system in digital form. An unrealized ...

INTRODUCTION After achieving undetectable HIV-RNA on cART, on cessation, HIV-RNA rebounds to pre-treatment values for the majority due to the presence of an inaccessible viral reservoir. There is some evidence that cART during primary HIV infection (PHI) limits the reservoir size, optimizing the chance of maintaining viral control off cART. Data are required to predict possible viral controller...

A prediction algorithm is consistent if given a large enough sample of instances from the underlying distribution, it can achieve nearly optimal generalization accuracy. In practice, the training set is finite and does not give an adequate representation of the underlying distribution. Our work is based on a simple method for generating additional data from the existing data. Using this new dat...

Cocaine- and amphetamine-regulated transcript (CART) codes for a neuropeptide system with a number of biological roles. The high conservation of CART across species suggests that it has an important role in mammalian physiology. CART is widely expressed in the central nervous system and the periphery, but is particularly concentrated in the hypothalamus. CART peptides, particularly CART (55-102...