Resolution, the ability to separate closely occurring events, is an important criterion for most analytical instrument techniques since it effects the ability to obtain accurate, quantitative results. Thermal Analysis techniques are no exception to this basic rule. A good example is thermogravimetric analysis (TGA) which measures weight changes with temperature, providing information about mate...

Certain correlations between food intake and social status, height, weight and gain of weight during pregnancy were referred to in a previous series of papers (Thomson, 1958,1959a, b). In this paper, the same data, derived from a study of pregnant women, are used to investigate further the relationships of height and weight to diet. The most interesting conclusion is that, contrary to popular b...

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The current drug research techniques, combinatorial synthesis and high throughput screening, help in obtaining pre-evaluating thousands of compounds a short duration time. Among the selected compounds, best hit molecule becomes lead, likeness property helps to optimize selection. Lipinski's Rule five is most widely used filter pre-evaluation according with poor oral absorption low permeation ha...

A mixing rule for the mixtures of hard-spheres is presented which can be reduced to the standard van der Waals mixing rule at low densities. The effectiveness of the mixing rule for the size and energy parameters of lennard-Jones fluid are examined by combining them with an equation of state to calculate thermodynamic properties. The results of calculation are compared with the molecular dy...

Voting institutions commonly assign di®erent weights across voters. Most analyses of such systems assume that the relative in°uence of each player is non-linear in her voting weight. We reassess this assumption with a distributive bargaining game that closely resembles the closed-rule, in ̄nite-horizon Baron-Ferejohn (1989) model. In equilibrium, voters with lower weights are typically perfect s...

predicting different behaviors in computer networks is the subject of many data mining researches. providing a balanced intrusion detection system (ids) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. many of the proposed methods perform well in one of the two aspects, and concentrate on a su...

data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. it transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...

Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable1 = value1 ∧ variable2 = value2 ∧... ∧ variablek = valuek. There are in general three approaches to rule induction: exhaustive search, divide-and-conquer, and separateand-conquer (or its extension as weighted covering). ...