Silvahvass8234

The article considers the contribution of the ICT sector to the medium- and long-term development of the Russian economy. The target scenario of Russian economic development and the conditions necessary for its implementation are analyzed. The necessity of completing the ICT Ecosystem to full cycle is substantiated. The strategies of fostering "national champions" are analyzed, and a target strategy is defined.Suspended substances in the air form clusters with coronavirus particles and spread up to 10 m from the source of infection. The importance of taking air pollution into account when simulating the spread of the COVID-19 pandemic is due to the similarity in the health impacts made by the coronavirus and the respirable fraction of suspended solids. In Europe, up to 6.6% of deaths and in China up to 11% of deaths from COVID-19 are due to ambient air pollution. In epidemiological models, this factor must be considered along with other reasons for the development of coronavirus infection. In Russian cities, increased air pollution can be one of the risk factors for the development of an epidemic.This article investigates and analyses the mass media and analytical (non-academic) reporting on the economic consequences of the Coronavirus. The collected sample of indicative works seeks to understand how the problem is framed as a crisis, with a focus on the identification of government policy and its consequences on the economy, and predictions concerning the longer-term effects and consequences for the economy.The #MeToo movement illuminated vast numbers of people who experienced sexual violence, but the exact scope and impact, especially among under-studied populations (e.g., men and sexual minorities) is unclear, due in part to measurement issues. Our objective was to compare the validity of two measures of sexual violence victimization The Sexual Experiences Survey - Short Form Victimization (SES-SFV) and The Post-Refusal Sexual Persistence Scale - Victimization (PRSPS-V). Participants were 673 college students who first completed the Rape Empathy for Victims (REM-V) and then the SES-SFV and PRSPS-V (counter-balanced). We found strong evidence of convergent validity for the PRSPS-V with correlations ranging from r = .57 - 88. Convergent validity correlations were strongest for sexual minority women (r = .88) and weakest for heterosexual men (r = .57). We also found evidence of differential validity for the SES-SFV and PRSPS-V. For heterosexual women, rape empathy was correlated to victimization on both questionnaires (r = .25 - .29). However, for heterosexual men, only scores on the SES-SFV were correlated with rape empathy for victims (r = .19). For sexual minorities there appeared to be differences between PRSPS-V only victims and those who reported victimization on both questionnaires in rape empathy (F = 2.65, p = .053). These results provide researchers a starting point for improving these questionnaires to collect more accurate data that helps improve the ability to detect cases of sexual victimization and thus, prevent and heal sexual victimization, especially in understudied populations such as men and sexual minorities.Prevention Coordinators are the linking agents providing technical assistance between universities and communities in the PROSPER model to support the implementation and sustainability of youth and family programs that have reduced substance abuse in prior research. This study examines the outcomes and trajectory of the frequency of contact of technical assistance (i.e. dosage) with community collaborative prevention coalitions across the three stages of coalition development. After communities were randomized, members of PROSPER coalitions (n=12) provided information about the quality of their operations at five time points across four and one-half years; prevention coordinators reported on the frequency of contact with their community coalitions at 14 intervals across the same period of time. This study only utilizes the intervention communities. Results from correlational models show that levels of dosage relate to the quality of internal coalition processes over time, but that the direction of the relationship changes over time high frequency of contact early on relates to lower coalition-rated functioning initially. In contrast, early frequency of contact relates to higher levels of coalition functioning at later time points. Furthermore, longitudinal mixed models show that levels of dosage were consistent over time. These results provide empirical support of the importance of a proactive technical assistance model and add further evidence that important distinctions exist among different coalition developmental phases.We report preparation of (bis)aniline ligand 4 which contains a central viologen binding domain and its subcomponent self-assembly with aldehyde 5 and Fe(OTf)2 in CH3CN to yield tetrahedral assembly 6. Complexation of ligand 4 with CB[7] in the form of CB[7]•4•2PF6 allows the preparation of assembly 7 which contains an average of 1.95 (range 1-3) mechanically interlocked CB[7] units. Assemblies 6 and 7 are hydrolytically unstable in water due to their imine linkages. Redesign of our system with water stable 2,2'-bipyridine end groups was realized in the form of ligands 11 and 16 which also contain a central viologen binding domain. Self-assembly of 11 with Fe(NTf2)2 gave tetrahedral MOP 12 as evidenced by 1H NMR, DOSY, and mass spectrometric analysis. In contrast, isomeric ligand 16 underwent self-assembly with Fe(OTf)2 to give cubic assembly 17. Precomplexation of ligands 11 and 16 with CB[7] gave the acetonitrile soluble CB[7]•11•2PF6 and CB[7]•16•2PF6 complexes. Self-assembly of CB[7]•11•2PF6 with Fe(OTf)2 gave tetrahedron 13 which contains on average 1.8 mechanically interlocked CB[7] units as determined by 1H NMR, DOSY, and ESI-MS analysis. Self-assembly of CB[7]•16•2PF6 with Fe(OTf)2 gave cube 13 which contains 6.59 mechanically interlocked CB[7] units as determined by 1H NMR and DOSY measurements.Given an n × d dimensional dataset A, a projection query specifies a subset C ⊆ [d] of columns which yields a new n × |C| array. We study the space complexity of computing data analysis functions over such subspaces, including heavy hitters and norms, when the subspaces are revealed only after observing the data. We show that this important class of problems is typically hard for many problems, we show 2Ω(d) lower bounds. However, we present upper bounds which demonstrate space dependency better than 2 d . That is, for c, c' ∈ (0, 1) and a parameter N = 2 d an Nc -approximation can be obtained in space min ( N c ' , n ) , showing that it is possible to improve on the naïve approach of keeping information for all 2 d subsets of d columns. Our results are based on careful constructions of instances using coding theory and novel combinatorial reductions that exhibit such space-approximation tradeoffs.Sepsis is a life-threatening disease that affects millions of people worldwide. Microbial infections that lead to sepsis syndrome are associated with an increased production of inflammatory molecules. Aldose reductase has recently emerged as a molecular target that is involved in various inflammatory diseases, including sepsis. Herein, a series of previously synthesized benzothiazole-based thiazolidinones that exhibited strong antibacterial and antifungal activities has been evaluated for inhibition efficacy against aldose reductase and selectivity toward aldehyde reductase under in vitro conditions. The most promising inhibitor 5 was characterized with IC50 value of 3.99 μM and a moderate selectivity. Molecular docking simulations revealed the binding mode of compounds at the active site of human aldose reductase. Moreover, owning to the absence of an acidic pharmacophore, good membrane permeation of the novel aldose reductase inhibitors was predicted. Excellent "drug-likeness" was assessed for most of the compounds by applying the criteria of Lipinski's "rule of five".The article introduces novel methodologies for the identification of coefficients of switching autoregressive moving average with exogenous input systems and switched autoregressive exogenous linear models. We consider cases where system's outputs are contaminated by possibly large values of noise for both cases of measurement noise and process noise. It is assumed that only partial information on the probability distribution of the noise is available. selleckchem Given input-output data, we aim at identifying switched system coefficients and parameters of the distribution of the noise, which are compatible with the collected data. We demonstrate the efficiency of the proposed approach with several academic examples. The method is shown to be effective in the situations where a large number of measurements is available; cases in which previous approaches based on polynomial or mixed-integer optimization cannot he applied due to very large computational burden.This study was conducted to evaluate the worry level in healthcare professionals and the mental symptoms encountered in their children during the Coronavirus Disease 2019 (COVID-19) pandemic. The study was designed in a cross-sectional, descriptive and relational screening model. Target population of the study comprised healthcare professionals living in Turkey who had children aged 6 to 16 years. The study data was obtained from 457 healthcare professionals who were accessible online between June 15 and August 15, 2020. The Introductory Information Form, the Penn State Worry Questionnaire (PSWQ) and the Pediatric Symptom Checklist-17 (PSC-17) were used as data collection method. The mean age of the healthcare professionals was 39.82 ± 4.83 years and 88.6% of them were female, 58.6% were nurses, 9.0% were doctors and 54.3% were working in the pandemic service. The mean total PSWQ score of the healthcare professionals was 53.53 ± 11.82 and the mean total PSC-17 score of their children was 10.74 ± 5.68. The mean PSWQ score of the healthcare professionals who had a psychological disease and provided care to COVID-19 patients was significantly higher. The PSC-17 scores were significantly higher in children with a mental disorder. There was a statistically significant positively correlation between the mean total PSWQ score of the healthcare professionals and the mean total PSC-17 score of their children. The study showed that children of healthcare professionals who experience all aspects of the pandemic, comprise an important risk group because they are unable to have physical contact with their parents and they experience the pandemic-related measures more.The main purpose of this study was to examine the critical factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform during the new coronavirus (COVID-19) epidemic. An integrated model with multiple factors drawing from the theoretical models and learning theories was proposed in this study to examine university teachers' intentions to use an MTT platform. The multiple factors included the individual factor (e.g., growth mindset, help seeking, and self-efficacy), the social factor (e.g., social norms), and the technological acceptance factor (e.g., perceived usefulness and perceived ease of use). The survey method was used to collect data on university teachers' perceptions of the MTT platform use, and a two-step structural equation modeling approach was used for the data analysis. Based on the path analysis of a total of 214 valid responses, the results identified that growth mindset, help seeking, and self-efficacy from the individual factor, as well as perceived usefulness from the technology acceptance factor were the significant determinants of university teachers' intentions to adopt the MTT.