The article provides and discusses details of numerical proceeding for the expansion method to calculate energy positions and wave functions of the localized and resonant electronic states emerging in quantum well-type semiconductor nanostructures because of perturbation of confined states by the Coulomb potential of the hydrogenic impurity center. Effective mass approximation is used. Several excited both resonant and non-resonant states are calculated and classified for the case of a simple rectangular GaAs/AlGaAs quantum well.
View Article and Find Full Text PDFPrior studies have investigated the efficacy of a single 1 min bout of stair-stepping on reducing postprandial blood glucose (BG) in the morning, but none have investigated this effect in the evening when glycaemic responses are larger due to circadian regulation and β-cell responsiveness. This work investigated the efficacy of a 1 min bout of self-selected, low-intensity stair-stepping performed in the evening on reducing the change from baseline to the 60 min time point postprandial BG. Thirty people (43% male, 29 (10) years) participated in a randomized crossover-controlled trial.
View Article and Find Full Text PDFThe co-product canola meal contains little fat and has been used in swine production as a protein source for several decades. More recently, locally produced canola cake has also become available that contains important quantities of residual oil. Both canola co-products contain a considerable quantity of phosphorus (P) with low availability.
View Article and Find Full Text PDFObjective: This paper aims to introduce and assess KeyGAN, a generative modeling-based keystroke data synthesizer. The synthesizer is designed to generate realistic synthetic keystroke data capturing the nuances of fine motor control and cognitive processes that govern finger-keyboard kinematics, thereby paving the way to support biomarker development for psychomotor impairment due to neurodegeneration.
Methods: KeyGAN is designed with two primary objectives: (i) to ensure high realism in the synthetic distributions of the keystroke features and (ii) to analyze its ability to replicate the subtleties of natural typing for enhancing biomarker development.