1. The effects of airway anaesthesia on the ability to detect added inspiratory resistive loads were studied in normal subjects. A 4% solution of lignocaine hydrochloride was used for anaesthesia of the airways. 2. After anaesthesia of the mouth and upper airways to the level of the vocal cords there was a significant deterioration in the detection ability expressed in terms of the absolute add...

The Sparse Bayesian Extreme Learning Machine (SBELM) has been recently proposed to reduce the number of units activated on the hidden layer. To deal with high-dimensional data, a novel sparse Bayesian Double-Layer ELM (DL-ELM) is proposed in this paper. The first layer of the proposed DLELM is based on a set of SBELM subnetworks which are separately applied to the features on the input layer. T...

This article deals with a prospective study on the cytochemical, functional, and proliferative characteristics of promonocytes and bone marrow and peripheral blood monocytes of 20 patients with acute monocytic leukemia and 7 patients with chronic monocytic leukemia. The results show a wide variation in the peroxidase and esterase activities in these cells, whereas the percentages of mononuclear...

Model predictive controller is widely used in industrial plants. Uncertainty is one of the critical issues in real systems. In this paper, the direct adaptive Simplified Model Predictive Control (SMPC) is proposed for unknown or time varying plants with uncertainties. By estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...

Business analytics is becoming more and more important nowadays. Up to now predictive analytics appears to be much more applied in practice than prescriptive analytics. We argue that although optimization is used to obtain predictive models, and predictive tools are used to forecast parameters in optimization models, still the deep relation between the predictive and prescriptive analytics is n...

Predicting organismal phenotypes from genotype data is important for plant and animal breeding, medicine, and evolutionary biology. Genomic-based phenotype prediction has been applied for single-nucleotide polymorphism (SNP) genotyping platforms, but not using complete genome sequences. Here, we report genomic prediction for starvation stress resistance and startle response in Drosophila melano...

We propose a sequential test for predictive ability. The test is designed for regressions in which the researcher is interested in recursively assessing whether some economic variables have predictive or explanatory content for another variable. It is common in the forecasting literature to assess predictive ability by using “one-shot” tests at each estimation period. We show that this practice...