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Spatial-temporal matrix of modernity in the context of globalizationThe article conceptualizes the main elements of the spatial-temporal matrix of modernity in its

Spatially resolved atomic absorption analysis is described in the paper that allows spatially and temporally resolved detection of both specific and non

Spatially resolved atomic absorption analysis is described in the paper that allows spatially and temporally resolved detection of both specific and non

Use of principal component analysis for identification of temporal and spatial patterns in the dynamics of ionospheric equatorial anomaly provide opportunity for the detailed analysis of the ionospheric equatorial anomaly. The covariance matrix

Application of the Correlation Measurement Method for Reconstructing of the Velocity Profile with Spatial and Temporal Discretization in Studies of the Hydrodynamics of Turbulent Flows Based on the Matrix Conductometry Method for measuring velocity with temporal and spatial sampling using two-layer mesh conductometric sensors

Environmental assessment of soil N 2O fluxes spatial and temporal variability on the forest plot of the nature reserve «Petrovsko-Razumovskoe» on environmental condition of modern megalopolis, on the example of Moscow. The research are focused on nitrogen

Infectious dynamics in urban 3d-environment: Challenges and possibilities. Spatial and temporal resolution “building-day” was achieved. It is demonstrated that infectious diseases

The temporal-spatial continuum in the texts of marina Tsvetaeva and Zinaida HippiusThis article dwells upon the nature of the reflection of temporal-spatial purports in the poetry

Use of principal component analysis for identification of temporal and spatial patterns in the dynamics of ionospheric equatorial anomaly provide opportunity for the detailed analysis of the ionospheric equatorial anomaly. The covariance matrix

Convolutional recognition of dynamic textures with preliminary categorization permitted to construct the separate spatial and temporal Convolutional Neural Networks (CNNs) for each

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