Density estimation is a fundamental task in statistics and machine learning that aims to estimate, from set of samples, the probability density function distribution generated them. There are different methods for addressing this problem but recently deep-neural have emerged as powerful alternative. This paper presents novel method neural based on matrices adaptive Fourier features. commonly us...

Abstract We show that there exist uncountably many (tall and nontall) pairwise nonisomorphic density-like ideals on $\omega $ which are not generalized density ideals. In addition, they nonpathological. This answers a question posed by Borodulin-Nadzieja et al. in [this Journal , vol. 80 (2015), pp. 1268–1289]. Lastly, we provide sufficient conditions for ideal to be necessarily ideal.

osteoporosis is a major health problem because of the large health care costs associated with its clinical consequences. it is therefore of great importance to identify modifiable risk factors. we investigated association between fruit and vegetables intake and bone mineral density in rural population of tehran surroundings. subjects were a subgroup of a large study on prevalence and causes of ...

The ability of bacteria and fungi to degrade polymeric substrates is often assessed in liquid-based assays conducted by exposing polymers planktonic cells, or cell-free supernatants enzymes generated from them. These assessments miss the opportunity specifically examine role biofilm formation physiology degradative processes. In a previous study, we examined wildtype hydrolase-deficient Pseudom...

Density Current is formed when a fluid with heavier density than the surrounding fluid flows down an inclined bed. These types of flows are common in nature and can be produced by; salinity, temperature inhomogeneities, or suspended particles of silt and clay. Driven by the density difference between inflow and clear water in reservoirs, density current plunges clear water and moves towards a d...