Girl Connection, Girls & Sport-Part II, June 2004

Newsletter for professionals who work with girls involved in or at risk for involvement in the juvenile justice system.

VIP Connection Newsletter, February 2004, Vol. 4, no. 1

Iowa Lottery Authority Player Information Newsletter

VIP Connection Newsletter, November 2003, Vol. 3, no. 4

Iowa Lottery Authority Player Information Newsletter

VIP Connection Newsletter, August 2003, Vol. 3, no. 3

Iowa Lottery Authority Player Information Newsletter

VIP Connection Newsletter, May 2004, Vol. 4, no. 2

Iowa Lottery Authority Player Information Newsletter

Linear response functions for a vibrational configuration interaction state

Linear response functions are implemented for a vibrational configuration interaction state allowing accurate analytical calculations of pure vibrational contributions to dynamical polarizabilities. Sample calculations are presented for the pure vibrational contributions to the polarizabilities of water and formaldehyde. We discuss the convergence of the results with respect to various details of the vibrational wave function description as well as the potential and property surfaces. We also analyze the frequency dependence of the linear response function and the effect of accounting phenomenologically for the finite lifetime of the excited vibrational states. Finally, we compare the analytical response approach to a sum-over-states approach

Variational calculation of vibrational linear and nonlinear optical properties

A variational approach for reliably calculating vibrational linear and nonlinear optical properties of molecules with large electrical and/or mechanical anharmonicity is introduced. This approach utilizes a self-consistent solution of the vibrational Schrödinger equation for the complete field-dependent potential-energy surface and, then, adds higher-level vibrational correlation corrections as desired. An initial application is made to static properties for three molecules of widely varying anharmonicity using the lowest-level vibrational correlation treatment (i.e., vibrational Møller-Plesset perturbation theory). Our results indicate when the conventional Bishop-Kirtman perturbation method can be expected to break down and when high-level vibrational correlation methods are likely to be required. Future improvements and extensions are discussed

Girl Connection, August 2004

Bimonthly newsletter of the Iowa Gender-Specific Services Task Force. This issue discusses girls and the impact of involvement in sports and other physical activities.

VIP Connection Newsletter, August 2004, Vol. 4, no 3.

Iowa Lottery Player Newsletter

Girl Connection, October 2004

Bimonthly newsletter of the Iowa Gender-Specific Services Task Force. This issue discusses girls and the impact of involvement in sports and other physical activities.

Girl Connection Newsletter, December 2004

Bi-monthly newsletter about gender-specific services for young women involved in or at risk for involvement in the juvenile justice system.

Girl Connection, February 2005

A monthly newsletter for Iowa Commission on the Status of Women

Assembling genes from predicted exons in linear time with dynamic programming

In a number of programs for gene structure prediction in higher eukaryotic genomic sequences, exon prediction is decoupled from gene assembly: a large pool of candidate exons is predicted and scored from features located in the query DNA sequence, and candidate genes are assembled from such a pool as sequences of nonoverlapping frame-compatible exons. Genes are scored as a function of the scores of the assembled exons, and the highest scoring candidate gene is assumed to be the most likely gene encoded by the query DNA sequence. Considering additive gene scoring functions, currently available algorithms to determine such a highest scoring candidate gene run in time proportional to the square of the number of predicted exons. Here, we present an algorithm whose running time grows only linearly with the size of the set of predicted exons. Polynomial algorithms rely on the fact that, while scanning the set of predicted exons, the highest scoring gene ending in a given exon can be obtained by appending the exon to the highest scoring among the highest scoring genes ending at each compatible preceding exon. The algorithm here relies on the simple fact that such highest scoring gene can be stored and updated. This requires scanning the set of predicted exons simultaneously by increasing acceptor and donor position. On the other hand, the algorithm described here does not assume an underlying gene structure model. Indeed, the definition of valid gene structures is externally defined in the so-called Gene Model. The Gene Model specifies simply which gene features are allowed immediately upstream which other gene features in valid gene structures. This allows for great flexibility in formulating the gene identification problem. In particular it allows for multiple-gene two-strand predictions and for considering gene features other than coding exons (such as promoter elements) in valid gene structures.

Girl Connection, April 2005

A monthly newsletter for Iowa Commission on the Status of Women

VIP Connection Newsletter, May 2005, Vol. 15, no. 2

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