New additional conditions required for the uniqueness of the 2D elastostatic read more problems formulated in terms of potential functions for the derived Papkovich-Neuber representations, are studied.Two cases are considered, each of them formulated by the scalar potential function plus one of the rectangular non-zero components of the vector pote
Background: Teaching media is one of several instruments used by teachers to help them carry out the teaching and learning.However, based on the results of the preliminary study, only 30% of primary schools use learning media.Methods: This study is developmental research.The development procedures in this study include: (1) conducting read more a n
Background: Atherosclerosis and its sequels, such as coronary artery disease and cerebrovascular stroke, still represent global health burdens.The pathogenesis of atherosclerosis consists of growing calcified plaques in the arterial wall and is accompanied by inflammatory processes, which are not entirely understood.This study aims to evaluate the
Abstract Background A dominant methodology in contemporary clinical neuroscience is the use of dimensional self-report questionnaires to measure features such as psychological traits (e.g., trait anxiety) and states (e.g., depressed mood).These dimensions are then mapped to biological measures and computational parameters.Researchers pursuing this
Speech enhancement for drone audition is made challenging by the strong ego-noise from the rotating motors and propellers, which leads to extremely low signal-to-noise ratios (e.g.SNR $< -15$ dB) at onboard microphones.In this paper, we extensively assess the ability of single-channel deep learning approaches to ego-noise reduction on drones.We