A cleavage map of bacteriophage Phi-X174 genome

Restriction endonucleases isolated from Hemophilus influenzae, Hemophilus parainfluenzae, and Hemophilus aegyptius were used to cleave phi-X174 replicative form DNA into three sets of specific DNA fragments. The order of these fragments in the phi-X replicative form molecule was determined by (1) analysis of partial digest products, (2) analysis of overlapping sets of fragments produced by two different restrictive enzymes. On the basis of these results, a detailed physical map of the phi-X174 genome has been constructed with respect to the cleavage sites of all three enzymes

Fission-induced plasmas

The possibility of creating a plasma from fission fragments, and to utilize the energy of the particles to create population inversion that would lead to laser action is investigated. An investigation was made of various laser materials which could be used for nuclear-pumped lasing. The most likely candidate for a fissioning material in the gaseous form is uranium hexafluoride - UF6, and experiments were performed to investigate materials that would be compatible with it. One of the central problems in understanding a fission-induced plasma is to obtain a model of the electron behavior, and some preliminary calculations are presented. In particular, the rates of various processes are discussed. A simple intuitive model of the electron energy distribution function is also shown. The results were useful for considering a mathematical model of a nuclear-pumped laser. Next a theoretical model of a (3)He-Ar nuclear-pumped laser is presented. The theory showed good qualitative agreement with the experimental results

Production of Specific Fragments of {varphi}X174 Replicative Form DNA by a Restriction Enzyme from Haemophilus parainfluenzae, Endonuclease HP

A restriction endonuclease from Haemophilus parainfluenzae degrades {varphi}X174 replicative form DNA into eight specific fragments, ranging from 1,700 to 150 base pairs and terminated specifically by deoxycytidylic acid

Intending to be ethical: An examination of consumer choice in sweatshop avoidance

While much research in ethical consumption has focused on contexts such as food, this research explores ethical consumer decision-making in the context of intention to avoid sweatshop apparel. This research seeks to deepen the Theory of Planned Behavior with respect to the motivation and volitional stages underlying behavior. The findings of the research, based on 794 consumers, are novel and support an enriched framework which reveals that the role of attitude, subjective norm and perceived behavioral control are mediated by desire, intention and plan. The findings have implications for research seeking to address the ‘intention-behavior’ gap

An Examination of the Volitional Stages in Consumer Decisions to Avoid Sweatshop Clothing

While much research in ethical consumption has focused on contexts such as food, this research explores ethical consumer decision-making in the context of intention to avoid sweatshop clothing where consumer concern has increased but response from the market remains limited. This research seeks to deepen the theory of planned behaviour with respect to the volitional stages underlying behaviour. The findings of the research support a modified theory of planned behaviour model and also reveal volitional stages from intention to trying and plan which reveal the stages of consumer decision-making to avoid sweatshop clothing. Implications for consumer decision-making are discussed

Impurity-induced frustration in correlated oxides

Using the example of Zn-doped La2CuO4, we demonstrate that a spinless impurity doped into a non-frustrated antiferromagnet can induce substantial frustrating interactions among the spins surrounding it. This counterintuitive result is the key to resolving discrepancies between experimental data and earlier theories. Analytic and quantum Monte Carlo studies of the impurity-induced frustration are in a close accord with each other and experiments. The mechanism proposed here should be common to other correlated oxides as well.Comment: 4 pages, updated figures, accepted versio

Semiparametric Nonlinear Panel Data Models with Measurement Error

This paper develops identification and estimation of the parameters of a nonlinear semi-parametric panel data model with mismeasured variables as well as the corresponding average partial effects using only three periods of data. The past observables are used as instruments to control the measurement error problem, and the time averages of perfectly observed variables are used to restrict the unobserved individual-specific effect by a correlated random effects specification. The proposed approach relies on the Fourier transforms of several conditional expectations of observable variables. We estimate the model via the semi-parametric sieve minimum distance estimator. The finite-sample properties of the estimator are investigated through Monte Carlo simulations. We use our method to estimate the effect of the wage rate on labor supply using PSID data

Drug release profile for an ETS-1 inhibitor in ReGel

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