There is a well developed theory of saturation for positive convolution operators on C*, the space of 2n-periodic and continuous functions. Up until recently, this was suitable to handle almost all the important approximation processes on C*. Now, however, some new and interesting sequences of operators have been obtained for C* by discretizing convolution operators [1], [5]. Such a discretized...

This paper describes a precise method of gene titration as applied to the alpha- and beta-globin genes in the mouse. The three salient features of the method are: (i) the use of saturation hybridization in probe cDNA excess, (ii) the use of highly purified cDNA probes prepared by preparative hybridization with cloned globin sequences (Longacre and Mach (1978) J. Biol. Chem. 253, 7500) and (iii)...

There have been extensive studies on the performance and behavior of 802.11 networks. These studies primarily focus on the so-called saturation regime, where all clients/user queues always have packets to send. A prominent study is the work by Bianchi [1], as well as numerous subsequent studies. This saturation operating regime may be viewed as the limiting case when all the arrival rates in th...

DMSP/OLS images are widely used as data sources in various domains of study. However, these images have some deficiencies, one of which is digital number (DN) saturation in urban areas, which leads to significant underestimation of light intensity. We propose a new method to correct the saturation. With China as the study area, the threshold value of the saturation DN is screened out first. A s...

The adsorption ability of activated carbon, chitosan, and chitosan/activated carbon composite for cadmium separation from aqueous solution was analyzed via statistical physical modeling. The equilibrium data were analyzed by Langmuir, Hill, double layer model, and the multi-layer model with saturation isotherm models. Results showed that the multi-layer model with saturation could well describe...

Through combinatorial regulation, regulators partner with each other to control common targets and this allows a small number of regulators to govern many targets. One interesting question is that given this combinatorial regulation, how does the number of regulators scale with the number of targets? Here, we address this question by building and analyzing co-regulation (co-transcription and co...

This paper analyzes the Cramér-Rao Bound associated with the estimation of certain sparse hyper-parameters in the Sparse Bayesian Learning (SBL) framework, that crucially control the sparsity of the desired signal. The CRB is shown to exhibit saturation with respect to the number of measurements, i.e., it can be lower bounded by a non-negative quantity that does not go to zero even when the num...