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The purpose of this paper is to extend the RSA public-key encryption scheme from its classical domain of natural integers Z, to two principal ideal domains, namely the domain of Gaussian integers, Z[i], and the domain of polynomials over finite fields, F[x]. The arithmetic needed for the modifications to these domains are described. The modified RSA algorithms are given. Proofs for the new method are provided. The computational procedures are described and illustrated in numerical examples. The advantages of new scheme over the classical are pointed out. Academic paper (PDF): Modified RSA in the Domains of Gaussian Integers and Polynomials Over Finite Fields.. Available from: https://www.researchgate.net/publication/220922838_Modified_RSA_in_the_Domains_of_Gaussian_Integers_and_Polynomials_Over_Finite_Fields [accessed Apr 5, 2017].

The purpose of this paper is to extend the RSA public-key encryption scheme from its classical domain of natural integers Z, to two principal ideal domains, namely the domain of Gaussian integers, Z[i], and the domain of polynomials over finite fields, F[x]. The arithmetic needed for the modifications to these domains are described. The modified RSA algorithms are given. Proofs for the new method are provided. The computational procedures are described and illustrated in numerical examples. The advantages of new scheme over the classical are pointed out. Academic paper (PDF): Modified RSA in the Domains of Gaussian Integers and Polynomials Over Finite Fields.. Available from: https://www.researchgate.net/publication/220922838_Modified_RSA_in_the_Domains_of_Gaussian_Integers_and_Polynomials_Over_Finite_Fields [accessed Apr 5, 2017].

A matched case-control study was carried out to identify risk factors for highly pathogenic avian influenza A virus (subtype H5N I) infection in commercial chickens in Bangladesh. A total of 33 commercial farms diagnosed with H5N I before September 9, 2007, were enrolled as cases, and 99 geographically matched unaffected farms were enrolled as control farms. Farm data were collected using a pretested questionnaire, and analysed by matched-pair analysis and multivariate conditional logistic regression. Two factors independently and positively associated with H5N I infection remained in the final model. They were 'farm accessible to feral and wild animals' (odds ratio [OR] 5.71, 95 per cent confidence interval [Cl] 1.81 to 18.0, P=0.003) and 'footbath at entry to farm/shed' (OR 4.93, 95 per cent Cl 1.61 to 15.1, P=0005). The use of a designated vehicle for sending eggs to a vendor or market appeared to be a protective factor (OR 0.14, 95 per cent Cl 002 to 0.88, P=0.036).

A matched case-control study was carried out to identify risk factors for highly pathogenic avian influenza A virus (subtype H5N I) infection in commercial chickens in Bangladesh. A total of 33 commercial farms diagnosed with H5N I before September 9, 2007, were enrolled as cases, and 99 geographically matched unaffected farms were enrolled as control farms. Farm data were collected using a pretested questionnaire, and analysed by matched-pair analysis and multivariate conditional logistic regression. Two factors independently and positively associated with H5N I infection remained in the final model. They were 'farm accessible to feral and wild animals' (odds ratio [OR] 5.71, 95 per cent confidence interval [Cl] 1.81 to 18.0, P=0.003) and 'footbath at entry to farm/shed' (OR 4.93, 95 per cent Cl 1.61 to 15.1, P=0005). The use of a designated vehicle for sending eggs to a vendor or market appeared to be a protective factor (OR 0.14, 95 per cent Cl 002 to 0.88, P=0.036).

This report presents the results of a study of software metrics applied to various classes of COBOL programs. Particular attention is given to the software science metrics of Halstead, which were applied to hundreds of COBOL programs written by students at Ohio State University, as well as several production COBOL programs. The results include support of the inclusion of Data Division in the software science counting strategy, nonsupport for the use of the software science language level metric, and the identification of a weakness in the ability of the Halstead E measure to capture integration effort. Several proposed complexity metrics were compared for their ability to predict actual development effort, with none of the metrics studied behaving in an impressive manner. Some approaches for refining existing complexity metrics to overcome their apparent weaknesses are suggested.

An analyzer of COBOL programs which computes the metrics from software science is described. The report discusses the overall design of the analyzer, including detailed descriptions of each of its modules. It also contains instructions for the use and maintenance of the analyzer at Ohio State University. (Author)