Developing methodologies to allow the robust prediction dynamic context dominated by perturbations

El principal objectiu del projecte era desenvolupar millores conceptuals i metodològiques que permetessin una millor predicció dels canvis en la distribució de les espècies (a una escala de paisatge) derivats de canvis ambientals en un context dominat per pertorbacions. En un primer estudi, vàrem comparar l'eficàcia de diferents models dinàmics per a predir la distribució de l'hortolà (Emberiza hortulana). Els nostres resultats indiquen que un model híbrid que combini canvis en la qualitat de l'hàbitat, derivats de canvis en el paisatge, amb un model poblacional espacialment explícit és una aproximació adequada per abordar canvis en la distribució d'espècies en contextos de dinàmica ambiental elevada i una capacitat de dispersió limitada de l'espècie objectiu. En un segon estudi abordarem la calibració mitjançant dades de seguiment de models de distribució dinàmics per a 12 espècies amb preferència per hàbitats oberts. Entre les conclusions extretes destaquem: (1) la necessitat de que les dades de seguiment abarquin aquelles àrees on es produeixen els canvis de qualitat; (2) el biaix que es produeix en la estimació dels paràmetres del model d'ocupació quan la hipòtesi de canvi de paisatge o el model de qualitat d'hàbitat són incorrectes. En el darrer treball estudiarem el possible impacte en 67 espècies d’ocells de diferents règims d’incendis, definits a partir de combinacions de nivells de canvi climàtic (portant a un augment esperat de la mida i freqüència d’incendis forestals), i eficiència d’extinció per part dels bombers. Segons els resultats dels nostres models, la combinació de factors antropogènics del regim d’incendis, tals com l’abandonament rural i l’extinció, poden ser més determinants per als canvis de distribució que els efectes derivats del canvi climàtic. Els productes generats inclouen tres publicacions científiques, una pàgina web amb resultats del projecte i una llibreria per a l'entorn estadístic R.

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.

Iowa Workers’ Compensation Manual, July 1, 2004 - June 30, 2005

This booklet has been prepared by the Division of Workers’ Compensation to provide information and guidelines in handling Iowa workers’ compensation claims. For more detailed information, reference should be made to Iowa Code chapters 85 through 87, 17A and chapter 876 of the Iowa Administrative Code.

Iowa Workers’ Compensation Manual, July 1, 2002 - June 30, 2003

This booklet has been prepared by the Division of Workers’ Compensation to provide information and guidelines in handling Iowa workers’ compensation claims. For more detailed informaton, reference should be made to Iowa Code chapters 85 through 87, 17A and chapter 876 of the Iowa Administrative Code.

Iowa Workers’ Compensation Manual, July 1, 2003 - June 30, 2004

This booklet has been prepared by the Division of Workers’ Compensation to provide information and guidelines in handling Iowa workers’ compensation claims. For more detailed informaton, reference should be made to Iowa Code chapters 85 through 87, 17A and chapter 876 of the Iowa Administrative Code.

Iowa Workers’ Compensation Manual, July 1, 1999 - June 30, 2000

This booklet has been prepared by the Division of Workers’ Compensation to provide information and guidelines in handling Iowa workers’ compensation claims. For more detailed informaton, reference should be made to Iowa Code chapters 85 through 87, 17A and chapter 876 of the Iowa Administrative Code.

Guide to Workers’ Compensation, 2005

This guide contains valuable information in an understandable format relating to the rights and duties of those covered by Iowa’s workers’ compensation law. This publication is intended to be used as a compilation of general information for commonly asked questions. Opinions oconclusions expressed or implied in this guide should not be considered to be a final determination of this office. You may copy and distribute the guide to others.

2004 Status Report On the Iowa Unemployment Compensation Trust Fund, 2004

This report evaluates the status of unemployment compensation trust fund as of December 31, 2004. The report reviews fund expenditures and fund revenue. It also discusses the fund solvency in terms of fund balance, fund balance adjusted for wage growth and months of benefits at recession levels.

Questions and Answers About Workers’ Compensation Law For Injured Workers, July 1, 2004 – June 30, 2005

This brochure answers questions injured workers commonly ask about workers’ compensation. You may check Iowa Code chapters 85 through 87 and 17A, as well as Iowa Administrative Code chapter 876, for detailed information. References to Iowa Code sections and Iowa Administrative Rules appear in parentheses.

Questions and Answers About Workers’ Compensation Law For Injured Workers, July 1, 2001 – June 30, 2002

This brochure answers questions injured workers commonly ask about workers’ compensation. You may check Iowa Code chapters 85 through 87 and 17A, as well as Iowa Administrative Code chapter 876, for detailed information. References to Iowa Code sections and Iowa Administrative Rules appear in parentheses.

Questions and Answers About Workers’ Compensation Law For Injured Workers, July 1, 2002 – June 30, 2003

This brochure answers questions injured workers commonly ask about workers’ compensation. You may check Iowa Code chapters 85 through 87 and 17A, as well as Iowa Administrative Code chapter 876, for detailed information. References to Iowa Code sections and Iowa Administrative Rules appear in parentheses.

Division of Workers' Compensation Regulatory Plan for State Fiscal Year, 2005

This plan is intended to implement Governor Vilsack’s Executive Order Number 9, V, signed September 14, 1999. This plan provides the Division of Workers’ Compensation anticipated regulatory actions for potential rule making activity for State Fiscal Year 2005, which began July 1, 2004, and thereafter.

Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography

Purpose: The objective of this study is to investigate the feasibility of detecting and quantifying 3D cerebrovascular wall motion from a single 3D rotational x-ray angiography (3DRA) acquisition within a clinically acceptable time and computing from the estimated motion field for the further biomechanical modeling of the cerebrovascular wall. Methods: The whole motion cycle of the cerebral vasculature is modeled using a 4D B-spline transformation, which is estimated from a 4D to 2D + t image registration framework. The registration is performed by optimizing a single similarity metric between the entire 2D + t measured projection sequence and the corresponding forward projections of the deformed volume at their exact time instants. The joint use of two acceleration strategies, together with their implementation on graphics processing units, is also proposed so as to reach computation times close to clinical requirements. For further characterizing vessel wall properties, an approximation of the wall thickness changes is obtained through a strain calculation. Results: Evaluation on in silico and in vitro pulsating phantom aneurysms demonstrated an accurate estimation of wall motion curves. In general, the error was below 10% of the maximum pulsation, even in the situation when substantial inhomogeneous intensity pattern was present. Experiments on in vivo data provided realistic aneurysm and vessel wall motion estimates, whereas in regions where motion was neither visible nor anatomically possible, no motion was detected. The use of the acceleration strategies enabled completing the estimation process for one entire cycle in 5-10 min without degrading the overall performance. The strain map extracted from our motion estimation provided a realistic deformation measure of the vessel wall. Conclusions: The authors' technique has demonstrated that it can provide accurate and robust 4D estimates of cerebrovascular wall motion within a clinically acceptable time, although it has to be applied to a larger patient population prior to possible wide application to routine endovascular procedures. In particular, for the first time, this feasibility study has shown that in vivo cerebrovascular motion can be obtained intraprocedurally from a 3DRA acquisition. Results have also shown the potential of performing strain analysis using this imaging modality, thus making possible for the future modeling of biomechanical properties of the vascular wall.

Multiuser detection in a dynamic environment — Part II: Joint user identification and parameter estimation

The problem of jointly estimating the number, the identities, and the data of active users in a time-varying multiuser environment was examined in a companion paper (IEEE Trans. Information Theory, vol. 53, no. 9, September 2007), at whose core was the use of the theory of finite random sets on countable spaces. Here we extend that theory to encompass the more general problem of estimating unknown continuous parameters of the active-user signals. This problem is solved here by applying the theory of random finite sets constructed on hybrid spaces. We doso deriving Bayesian recursions that describe the evolution withtime of a posteriori densities of the unknown parameters and data.Unlike in the above cited paper, wherein one could evaluate theexact multiuser set posterior density, here the continuous-parameter Bayesian recursions do not admit closed-form expressions. To circumvent this difficulty, we develop numerical approximationsfor the receivers that are based on Sequential Monte Carlo (SMC)methods (“particle filtering”). Simulation results, referring to acode-divisin multiple-access (CDMA) system, are presented toillustrate the theory.