Publications by authors named "S Bogomolov"

Antibiotic-resistant is a major health issue that requires new therapeutic approaches. Accumulating data suggest that it is possible to sensitize these bacteria to antibiotics by combining them with inhibitors targeting efflux pumps, the low-affinity penicillin-binding protein PBP2a, cell wall teichoic acid, or the cell division protein FtsZ. We have previously shown that the endocannabinoid Anandamide (N-arachidonoylethanolamine; AEA) could sensitize drug-resistant to a variety of antibiotics, among others, through growth arrest and inhibition of drug efflux.

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Since the early 1970s, attempts to synthesize Super Heavy Elements (SHE) have been made in many laboratories around the world. One of the main requirements of these experiments is a sufficiently large dose of target irradiation, which should be increased with a decrease in the reaction cross section. In this regard, the capacities of ion sources play an important role for the successful synthesis of SHE.

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Aim: The aim of the study is to assess the compliance of the results of electrocardiographic (ECG) and echocardiographic diagnostic methods of hypertrophy of left ventricular myocardium (LVH) with the postmortem finding of measurement of left ventricular myocardium mass (LVM).

Materials And Methods: We examined the data of intravital study of anthropometric measurements [age, height, weight, body mass index (BMI)], instrumental results [12-lead ECG, EchoCG], as well as the postmortem finding (direct measurement of LVM at autopsy) in 15 patients of general therapy department. While analyzing ECG we studied as conventional ECG criteria for the detection of LVH as well as the author's own criteria based on two models (regression and discriminant analyses), including voltage, sex and age criteria.

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We present numerical results for a set of bifurcations occurring at the transition from complete chaotic synchronization to spatio-temporal chaos in a ring of nonlocally coupled chaotic logistic maps. The regularities are established for the evolution of cross-correlations of oscillations in the network elements at the bifurcations related to the coupling strength variation. We reveal the distinctive features of cross-correlations for phase and amplitude chimera states.

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Continuous-time Markov chain (CTMC) models have become a central tool for understanding the dynamics of complex reaction networks and the importance of stochasticity in the underlying biochemical processes. When such models are employed to answer questions in applications, in order to ensure that the model provides a sufficiently accurate representation of the real system, it is of vital importance that the model parameters are inferred from real measured data. This, however, is often a formidable task and all of the existing methods fail in one case or the other, usually because the underlying CTMC model is high-dimensional and computationally difficult to analyze.

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