Using the regression analysis technique, we have built the individual models of heart rate variability indicators (HRV) based on the individual features of constitutional parameters of the body, age and hand strength with determination coefficients R2 less than 0.5 in practically healthy Podillia young men and women of eucinetic hemodynamics type. It was found that R2 determination coefficients of young men in 17 completed models ranged from 0.136 to 0.478, while in young women, R2 determination coefficients of 17 completed models ranged from 0.095 to 0.342. The models of young men most commonly covered the width of distal epiphyses of long tubular bones of the limbs (30.9%, mostly upper limbs), body circumference dimensions (15.7%, mainly at account of limbs) and body diameters (12.6%, mostly sagittal and transverse mid-thoracic size of the chest and pelvic measurement (Distancia cristarum)); and models of young women -age (35.3%), body weight components (13.7%, mainly at account of body muscle mass by Matiegka), width of distal epiphyses of long tubular bones of the limbs (at account of the lower extremities) and the hand strength (at account of the right hand) (11.8% each).

No abstract

The paper considers the superliner photovoltaic effect associated with the modification of heterojunctions of the рCu2S–nSi type by introducing a silicon nanocluster subsystem into it at the junction boundary. The design of a photocell containing two sequentially articulated p–n junctions of counter action, photoactive in different regions of the spectrum, is proposed.We show that film heterojunctions, which include a nanocluster subsystem, have a difference from the non-clustered version. Heterophotocells without nanocluster subsystem always have sublinear, or, in rare cases, linear lux-ampere characteristics (up to illumination ~ 5 104 lx), while because of introducing nanocluster centers into the base p-region of the Cu2S–Si heterojunctions, a significantly higher integral sensitivity is achieved at high illumination of the samples in the mode of a valve photocell.

No abstract

This paper presents a method of forecasting based on simulation model, which has a scientific novelty, as used for the first time in this class of tasks. A simulation model was developed on the basis of information sources of official statistics. These data were converted using trend analysis Excel so that gave us an opportunity to obtain a simulation forecast model based on the primary rule of perfect competition ATC = MC = MR.