Integration methods of a vehicles emergency response system based on navigational units

Studying the state of the art of current integration methods of a car engine with the automobile mechatronic system by using neural networks to orchestrate the methods of integration of a car engine with the automobile mechatronic system by using algorithmic electronic control based on new neural networks; to formulate the methodology of electronic model control of an engine with a mechatronic adapter; to design a model enabling calculation of input-output data; to analyze results of cold and hot tests of an engine, develop methods improving tests with the help of mechatronic adapter; to reason power and torque of an engine integrated with the mechatronic adapter; conceptualize the method of assessing fuel economy and environmental performances of an engine; put forward a guidance on research application and estimate economic efficiency. The article discusses the topic of improving the safety of transportation by introducing the latest capabilities of advanced technologies. The proposed solution uses the composition of engineering networks to expand such networks as ERA-GLONASS and e Call, which allows not only to transmit additional information, but also to combine information to determine the necessary means of emergency assistance and coordinate the entire emergency response operation. The key concept of the approach is to model the cyber-physical components of the human device using collections of resources that reflect them. Services have the ability to self-regulate, which allows them to independently adapt their behavior to the context of the vehicle driver's environment

Strongly Intensive Measures for Multiplicity Fluctuations

The recently proposed two families of strongly intensive measures of fluctuations and correlations are studied within Hadron-String-Dynamics (HSD) transport approach to nucleus-nucleus collisions. We consider the measures $\Delta^{K\pi}$ and $\Sigma^{K\pi}$ for kaon and pion multiplicities in Au+Au collisions in a wide range of collision energies and centralities. These strongly intensive measures appear to cancel the participant number fluctuations. This allows to enlarge the centrality window in the analysis of event-by-event fluctuations up to at least of 10% most central collisions. We also present a comparison of the HSD results with the data of NA49 and STAR collaborations. The HSD describes $\Sigma^{K\pi}$ reasonably well. However, the HSD results depend monotonously on collision energy and do not reproduce the bump-deep structure of $\Delta^{K\pi}$ observed from the NA49 data in the region of the center of mass energy of nucleon pair $\sqrt{s_{NN}}= 8\div 12$ GeV. This fact deserves further studies. The origin of this `structure' is not connected with simple geometrical or limited acceptance effects, as these effects are taken into account in the HSD simulations

Relief of chronic pain associated with increase in midline frontal theta power

INTRODUCTION: There is a need to identify objective cortical electrophysiological correlates for pain relief that could potentially contribute to a better pain management. However, the field of developing brain biomarkers for pain relief is still largely underexplored. OBJECTIVES: The objective of this study was to investigate cortical electrophysiological correlates associated with relief from chronic pain. Those features of pain relief could serve as potential targets for novel therapeutic interventions to treat pain. METHODS: In 12 patients with chronic pain in the upper or lower extremity undergoing a clinically indicated nerve block procedure, brain activity was recorded by means of electroencephalogram before and 30 minutes after the nerve block procedure. To determine the specific cortical electrophysiological correlates of relief from chronic pain, 12 healthy participants undergoing cold-pressor test to induce experimental acute pain were used as a control group. The data were analyzed to characterize power spectral density patterns of pain relief and identify their source generators at cortical level. RESULTS: Chronic pain relief was associated with significant delta, theta, and alpha power increase at the frontal area. However, only midfrontal theta power increase showed significant positive correlation with magnitude of reduction in pain intensity. The sources of theta power rebound were located in the left dorsolateral prefrontal cortex (DLPFC) and midline frontal cortex. Furthermore, theta power increase in the midline frontal cortex was significantly higher with chronic vs acute pain relief. CONCLUSION: These findings may provide basis for targeting chronic pain relief via modulation of the midline frontal theta oscillations

Erosion processes during non-stationary cavitation of irrigation pumps

The article gives the main results of the study of the dynamics of wear of the working bodies of irrigation pumps, gives the main recommendations as a result of the study of pumping units in the presence of cavitation. The authors consider the cavitation coefficient as the minimum value of this expression, at which the beginning of cavitation is detected. The process of unsteady cavitation is accompanied by many significant effects in which the water flow becomes two-phase, with a corresponding change in its properties, which affects the pump's efficiency. The effect of particle size on the erosion rate is predominant only up to a certain size limit, i.e., 600-800 microns on the blades. After that, the erosion rate increases with a comparatively slower rate. This indicates that the particle size affects the erosion rate only up to a certain particle size

Цифровая аускультация как метод диагностики в педиатрии

Special awardВ рамках XXI Конгресса педиатров России с международным участием «Актуальные проблемы педиатрии» (Москва, 15–17 февраля 2019 г.) традиционно прошел Конкурс научных работ молодых ученых. Поздравляем победителей!Специальный дипло

Phase-space dependence of particle-ratio fluctuations in Pb+Pb collisions from 20A to 158A GeV beam energy

A novel approach, the identity method, was used for particle identification and the study of fluctuations of particle yield ratios in Pb+Pb collisions at the CERN Super Proton Synchrotron (SPS). This procedure allows to unfold the moments of the unknown multiplicity distributions of protons (p), kaons (K), pions ($\pi$) and electrons (e). Using these moments the excitation function of the fluctuation measure $\nu_{\text{\text{dyn}}}$[A,B] was measured, with A and B denoting different particle types. The obtained energy dependence of $\nu_{\text{dyn}}$ agrees with previously published NA49 results on the related measure $\sigma_{\text{dyn}}$. Moreover, $\nu_{\text{dyn}}$ was found to depend on the phase space coverage for [K,p] and [K,$\pi$] pairs. This feature most likely explains the reported differences between measurements of NA49 and those of STAR in central Au+Au collisions