Fixed target Drell-Yan data and NNLO QCD fits of parton distribution functions

We discuss the influence of fixed target Drell-Yan data on the extraction of parton distribution functions at next-to-next-to-leading order (NNLO) in QCD. When used in a parton distribution fit, the Drell-Yan (DY) data constrain sea quark distributions at large values of Bjorken x. We find that not all available DY data are useful for improving the precision of parton distribution functions (PDFs) obtained from a fit to the deep inelastic scattering (DIS) data. In particular, some inconsistencies between DIS-based parton distribution functions and DY data for large values of dilepton rapidity are found. However, by selecting a sample of the DY data that is both representative and consistent with the DIS data, we are able to perform a combined PDF fit that significantly improves the precision of non-strange quark distributions at large values of x. The NNLO QCD corrections to the DY process are crucial for improving the precision. They reduce the uncertainty of the theoretical prediction, making it comparable to the experimental uncertainty in DY cross-sections over a broad range of x.Comment: 12 pages, revte

Numerical Simulation of the Microtron Electron Beam Absorption by the Modified ABS-Plastic

Each specific task of the electron beam application imposes requirements for the beam profile and shape. One of the methods allows achieving high accuracy and low cost of the filters production is the 3D print method. The required properties of the electron beam interaction with the material can be achieved by using the modified plastic filaments. In this paper, the results of the model creation of the electron beams interaction with the ABS-plastic doped with different concentrations are presented. The depth dose distributions of the electron beam in the modified ABS-plastic are sown. The electron beam profiles and the electron beam distribution in the modified ABS-plastic are illustrated

The Interaction of Civil Society and Government in Countering Political Extremism in Modern Russia: the Content and Priorities

The article is devoted to topical issues of cooperation between the state and civil society in countering extremism in modern Russia. The authors reveal the concept, the signs of political extremism, as well as the main approaches to the understanding of its content. Provides and clarifies the typology of civil society institutions that promote the state policy of counteraction to extremism in the Russian Federation. In the article the authors point to the role of public associations and organizations in the fight against extremist manifestations, determines the priorities of their cooperation with public authorities. Identified the content of the problems arising in the process of interaction between public associations and state management in the area of countering political extremism. Provides the author’s recommendations for improving the support of civil society institutions contributing to the public authorities in the fight against extremism

Social identity and expectations for employment of students with disabilities

Various technologies of influencing social processes and attitudes of people in order to provide assistance to the population and certain categories of citizens in difficult life situations make researchers turn to basic social categories and demonstrate their role in applied spheres of human life organization. The article shows the sociological category of social identification as a technology for implementing social expectations of students with disabilities. Based on the results of sociological research (questionnaire survey) practical recommendations are developed to inform students with disabilities about the social and educational space of the university for employment

Heart and lungs protection technique for cardiac surgery with cardiopulmonary bypass

Cardioplegic cardiac arrest with subsequent ischemic-reperfusion injuries can lead to the development of inflammation of the myocardium, leucocyte activation, and release of cardiac enzymes. Flow reduction to the bronchial arteries, causing low-flow lung ischemia, leads to the development of a pulmonary regional inflammatory response..

Metahouse: noise-insulating chamber based on periodic structures

Noise pollution remains a challenging problem requiring the development of novel systems for noise insulation. Extensive work in the field of acoustic metamaterials has led to occurrence of various ventilated structures which, however, are usually demonstrated for rather narrow regions of the audible spectrum. In this work, we further extend the idea of metamaterial-based systems developing a concept of a metahouse chamber representing a ventilated structure for broadband noise insulation. Broad stop bands originate from strong coupling between pairs of Helmholtz resonators constituting the structure. We demonstrate numerically and experimentally the averaged transmission -43 dB within the spectral range from 1500 to 16500 Hz. The sparseness of the structure together with the possibility to use optically transparent materials suggest that the chamber may be also characterized by partial optical transparency depending on the mutual position of structural elements. The obtained results are promising for development of novel noise-insulating structures advancing urban science

Heart and lungs protection technique for cardiac surgery with cardiopulmonary bypass

Cardioplegic cardiac arrest with subsequent ischemic-reperfusion injuries can lead to the development of inflammation of the myocardium, leucocyte activation, and release of cardiac enzymes. Flow reduction to the bronchial arteries, causing low-flow lung ischemia, leads to the development of a pulmonary regional inflammatory response..

Улучшение модели репутации и доверия путем внедрения индикаторов надежности для внутригрупповой коммуникации между автономными транспортными средствами

Reputation and Trust models have successfully been implemented to ensure security and maintain nodes’ trustworthiness in decentralized networks, including autonomous vehicles (AVs). However, the implementations of these models usually lack of objective parameters to calculate the initial Reputation values. In this study, we employ reliability-based approach to evaluate the initial Reputation value