Relationships between Scientific Collaboration Ego Network and Academic Influence: An Empirical Examination of Intelligence Science Scholar in China

In this study, the author collaboration network is established by taking the national social science fund papers in the field of intelligence science included in CSSCI as the data source and the paper collaboration relationship of high-yielding authors as the research object. The connection structure and influence of nodes in the network are analyzed by using the Ego-network analysis method, and the network size, intensity, density of high-yielding author ego-network and the relationship with the influence of academic influence of researchers are found out. Measures of academic influence were also validated analytically. The size of collaboration network and the strength of connection between network members of researchers are positively correlated with academic influence, and there is an inverted U-shaped relationship between network density and academic influence. Finally, this study proposes suggestions on how researchers can strengthen academic collaboration to enhance academic influence.

PROBLEMS OF TERAHERTZ RADIATION METROLOGY IN MEDICINE

The purpose of this work is to consider the issue of safe propagation of terahertz radiation in bio-logical objects. The article gives a brief review of studies of the influence mechanisms of terahertz radiation on biological environments. It considers optical characteristics of blood and its components in the THz frequency range. It is found that the boundaries of the terahertz wavelength range are not precisely defined. It is established that the recently discovered "photon jet" effect allows terahertz ra-diation to penetrate biological objects to considerable depths, due to the effect of a quasi-optical mesoscale waveguide composed of spherical or disk particles. Amplification of small-sized particles that form a photon jet can significantly increase the value of the radiation intensity density at the bio-logical object of study.

Space-time Poisson Flow Intensity Density with Zero Occurrence Probability on Stochastic Subsets of Its Spatial Definition Domain

Object of research: space-time Poisson flows.Subject of research: influence patterns of the stochastic subset characteristics of the spatial definition domain of the space-time Poisson flow on its intensity density.Work objective: to determine a relationship between the space-time Poisson flow intensity density and the characteristics of the inhomogeneity subdomains of the spatial definition domain where this flow is specified.A problem to be solved: to determine the space-time Poisson flow intensity density to meet a selected criterion, i.e. a conditional intensity density, where the condition is that the points in the flow state space belong to the stochastic inhomogeneity subdomains.We consider a space-time Poisson flow whose spatial domain contains stochastic subdomains of inhomogeneity. An equality criterion to zero occurrence probability generated by this flow in the inhomogeneity subdomains is used to derive an expression for the flow intensity density.The case has been considered when positions of inhomogeneity subdomain centers are random, and their angular positions relative to these centers and their shapes are defined and unchanged at analysis interval.To describe them, we used the probability densities of the inhomogeneity subdomain centers, which are time variant. A theorem is proved that substantiates the structure of the intensity density of the space-time Poisson flow with a stochastic inhomogeneous spatial domain of definition. The relationship of this characteristic with the probabilistic characteristics of inhomogeneity subdomain parameters is shown.Examples are given to illustrate a procedure for determining the intensity densities of space-time Poisson flows for both stochastic and deterministic structures of inhomogeneity subdomains. It is shown that for the stochastic case, taking into account the random nature of their location leads to a solution significantly different from the singular case.The scope of possible practical use of the results obtained for tasks related to the search for objects of observation is determined.

Exploring Building Data from Multispectral and Single-Photon Lidar Systems

This paper investigated building data from multispectral and single-photon Lidar systems. The multispectral datasets from the individual channels and fused channels were explored. The multispectral and single-photon Lidar data were compared across multiple aspects: the data acquisition geometry, number of echoes, intensity, density, resolution, data defects, noise level, and the absolute and relative accuracy. In addition, we explored the performance of the multispectral and single-photon data for roof plane detection for eight complex/stylish buildings to investigate the suitability of these data for 3D building reconstruction. The building data from the single-photon and multispectral Lidar systems were evaluated with respect to the reference building vector data with an accuracy of better than 5 cm. The advantages and disadvantages of both technologies and their applications in the urban building environment are discussed.

POPULATION DYNAMICS OF SENGA SP. (DOLLFUS, 1934) IN FRESH WATER FISHES FROM AURANGABAD REGION (M.S) INDIA

The present communication deals with the population dynamics of Senga Sp. (Dollfus, 1934) in fresh water fishes from Aurangabad region (M.S) India during the period of June-18 to May-19. A total 124 Senga sp. were recorded from 140 fishes. The report summarizes the data of incidence, intensity, density and index of infection of Senga sp. from fresh water fishes with effect of environmental factors.

Efficiency of the error correction method by the parity values of binary matrix coordinates

The results of study of the characteristics of the proposed method [1] for correction of errors arising during information transmission via communication lines are presented. The estimates of the efficiency of search for errors and the performance of an algorithm developed to realize the proposed method using the parity values of binary matrix coordinates are obtained; among these errors are rows, columns, main and auxiliary diagonals, are obtained. We have determined the dependence of algorithm characteristics on the intensity (density) of bit errors in the message obtained after transmission via communication lines and on the size of matrices, into which a transmitted message is divided.The time spent for calculating the parity values of matrix coordinates and for the algorithm used to find transmitted information errors are given. Recommendations on an optimal choice of sizes of binary matrices are presented. It is shown that, when the bit error rate is 10–2 and less, the algorithm detects all the available errors.

DEVELOPMENT OF THE INVENTORY METHOD OF POLLUTION SUBSTANCES INVENTION BY MOTOR TRANSPORTATION IN ATMOSPHERIC AIR OF CITIES AND POPULATIONS

The article deals with the problems of modern growing automobilization and, as a result, increased emissions of pollutants by motor transport into the atmospheric air of cities and towns. A number of legal acts on the standards for emissions of harmful substances from gasoline engines of the car and diesel engines. The results of the analysis of foreign experience in calculations of harmful emissions, in particular, EMEP / CORINAIR Atmospheric Emission and the Russian Federation are presented. The authors propose to develop and compare various measures to reduce harmful emissions of their own developed methodology. The method allows you to calculate emissions of pollutants emitted from the exhaust gases of motor vehicles, while driving on a section of the road network of a city or locality. The calculation in the form of source data is based on the intensity, density, speed and composition of traffic flows. The possibility of implementing the methodology at the state level in the Kyrgyz Republic is being considered.