Aerodynamic space tether system as a system with distributed parameters

The motion of the aerodynamic tether system includes two stages – the deployment and the motion of the deployed system. The initial condition for the deployment model is that of a spacecraft with a rigidly connected second body in a circular orbit about the planet. The deployment process is based on the aerodynamic forces acting on bodies. After the separation of the rigid connection, further motions of the bodies are then controlled by the tether release mechanism which unreels the tether and controls the rate at which the tether is unreeled. The motion of the system is described by the multi-point model, splitting the tether into a number of parts and using the series of separations of material points from the spacecraft, thus forming a mathematical model of the system with distributed parameters. The aerodynamic forces acting on the tether are taken into consideration. This model makes it possible to calculate numerically elastic deformations and curvature of the tether and provides more accurate modelling if compared with the two-point model

Replication Data and Code for Fearing the Fed: How Wall Street Reads Main Street

Replicatation Data and Code for Fearing the Fed: How Wall Street Reads Main StreetVadim Elenev, Tzuo-Hann Law, Dongho Song, Amir YaronThis folder contains the source code necessary to reproduce the figures and tables from the published paper.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Replication Data and Code for Fearing the Fed: How Wall Street Reads Main Street

Replicatation Data and Code for Fearing the Fed: How Wall Street Reads Main StreetVadim Elenev, Tzuo-Hann Law, Dongho Song, Amir YaronThis folder contains the source code necessary to reproduce the figures and tables from the published paper.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

The study of spatiotemporal scaling features and correlations in complex biomedical data

In this research, we demonstrate the capabilities of the normalized range method (R/S analysis) in the study of fractal patterns in biomedical data of complex living systems.The Hurst exponent allows differentiating temporal signals in the presence of minimal information about the complex system under study, depending on the nature of the correlations manifestation. The capabilities of the proposed algorithms were demonstrated by analyzing the scaling features of the temporal dynamics of the tremor rate in Parkinson's disease, the bioelectrical activity of the brain of patients with epilepsy, including those under external influences. The results can be used in computational biophysics and physics of complex systems to search for diagnostic criteria for neurological and neurodegenerative diseases, as well as to study the processes of biological aging and changes in the “physiological complexity” of the human body