almcm-41 was applied for adsorption of methylene blue (mb) and auramine (au) in single and binary component systems. in the single component systems, almcm-41 represents higher adsorption capacity for mb than au with the maximal adsorption capacity of 2.07×10−4 and 1.15×10−4 mol/g at 25 ˚c for mb and au, respectively. in the binary component system, mb and au exhibit competitive adsorption onto...

in this study, the densities, excess molar volumes and partial molar volumes of four binary systems containing n,n-dimethyl acetamide (dmac) with 1-alkanols (1-butanol up to 1-heptanol) are measured at 298.15 k. the results showed both constructive and expansive excess volumetric behavior for studying binary mixtures. deviation values of heavy alcohol have more positive and less negative excess...

A model of a rigid-plastic rate-independent polycrystalline aggregate wherein subaggregates are represented as the nodes of a binary tree is proposed. The lowest nodes of the binary tree represent grains. Higher binary tree nodes represent increasingly larger sub-aggregates of grains, culminating with the root of the tree, which represents the entire polycrystalline aggregate. Planar interfaces...

‎let $g$ be a graph with vertex set $v(g)$ and edge set $x(g)$ and consider the set $a={0,1}$‎. ‎a mapping $l:v(g)longrightarrow a$ is called binary vertex labeling of $g$ and $l(v)$ is called the label of the vertex $v$ under $l$‎. ‎in this paper we introduce a new kind of graph energy for the binary labeled graph‎, ‎the labeled graph energy $e_{l}(g)$‎. ‎it depends on the underlying graph $g$...

– Assessment of the quality of the logistic regression model is central to the conclusion. Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. It is not unusual for statisticians to check fitted model with validation...

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a b s t r a c t Logistic regression is the closest model, given its sufficient statistics, to the model of constant success ...

We contrast language modeling for binary response typing interfaces with the more standard use of language models for full sequence disambiguation in applications like speech recognition. We highlight a key issue for construction of these language models: using Huffman coding versus simpler binary coding tree topologies. We then introduce novel methods for handling of selection error within the...

In a linear model approach to the analysis of binary data, parameters of the model may be estimated by the method of maximum likelihood, or by weighted or unweighted least squares. The technique of generalized linear models permits maximum likelihood estimates of parameters to be obtained by iterative weighted least squares, with tests of significance based on analysis of deviance, a generaliza...

The present study aimed to characterize the relationship between a binary response and covariates of interest through a more general single-index regression model. With M -phase (M ≥ 2) case-control data supplemented by information on a response and certain covariates, we primarily propose a pseudo likelihood estimation for the index coefficients of this type of semiparametric model. Additional...