Using direct numerical simulations (DNSs), the interaction between linear waves and turbulence under compressible magnetohydrodynamic (CMHD) approach was studied. A set of DNSs in three dimensions for a spatial resolution $128^3$ $256^3$ were performed. parametric study carried out varying sonic Mach number, mean magnetic field compressibility amplitude forcing. Spatio-temporal spectra energy b...

An essential function of dockless bikesharing (DBs) is to serve as a feeder mode the metro. Optimizing integration between DBs and metro great significance for improving travel efficiency. However, research on DBs–Metro Integration Cycling (DBsMIC) faces challenges such insufficient methods identification low accuracy. In this study, we improve enhanced two-step floating catchment area incorpor...

Global climate change can have significant impacts on different geographical regions. It is very important to analyze the changes in temporal and spatial precipitation patterns. In this study, monthly yearly values Turkey were examined by combining nonparametric Mann-Kendall rank correlation test Getis-Ord G clustering test. The study was carried out integrating compiling data formats related y...

Drought monitoring is a complicated issue as it requires multiple meteorological variables to monitor and anticipate drought accurately. Therefore, developing method that enables researchers, data scientists, planners comprehend mitigation policies more accurately essential. In this research, based on the concepts behind calculation of Standardized Precipitation Evapotranspiration Index (SPEI),...

Combined analysis of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) has the potential to provide higher spatiotemporal resolution than either method alone. In some situations, in which the activity of interest cannot be reliably reproduced (e.g., epilepsy, learning, sleep states), accurate combined analysis requires simultaneous acquisition of EEG and fMRI. Simult...