This research investigates the effects of government expenditure in Uganda on infrastructure promoting sustainable economic. The study used a longitudinal design using financial records from years 1984-85 to 2015-16 as population with sample size 32 annual observations. Johansen cointegration test indicates long-run association between infrastructure, communication, electricity, and development...

The six-degree equations of flight in their classic form do not provide a proper physical perception due to a number of interferences. Nor do they render visible the important role of attack angles. In this study, attempts have been made to develop a complete set of 3D acceleration equations from the equations of normal and tangential acceleration αN=vωv, αt=v ̇. For this purpose, a coordinate s...

Dense passage retrieval aims to retrieve the relevant passages of a query from large corpus based on dense representations (i.e., vectors) and passages. Recent studies have explored improving pre-trained language models boost performance. This paper proposes CoT-MAE (ConTextual Masked Auto-Encoder), simple yet effective generative pre-training method for retrieval. employs an asymmetric encoder...

The six-degree equations of flight in their classic form do not provide a proper physical perception due to a number of interferences. Nor do they render visible the important role of attack angles. In this study, attempts have been made to develop a complete set of 3D acceleration equations from the equations of normal and tangential acceleration αN=vωv, αt=v ̇. For this purpose, a coordinate s...

The sound and sustainable development of the international monetary system is cornerstone stable global economy. This paper takes digital currency in China as its research object utilizes a regime-switching transition auto-regression (STAR) model nonlinear time-varying parameter–stochastic volatility–vector auto regression (TVP-SV-VAR) to empirically analyze relationship between RMB, RMB intern...

We propose a non-linear extension of the factor analysis with beta process priors. This non-linear Beta process factor analysis (nBPFA) model allows the data vector to be represented by processing an invertible non-linear transformation on standard factor decomposition. We develop a scalable variational inference framework for large scale datasets, which benefits from the idea of generalizing v...