Revision to the SUDAS Traffic Signal Standards – Phase 2, Final Report, May 2012

This report provides a summary of the updates to the traffic signal content within the Iowa Statewide Urban Design and Specifications (SUDAS) Design Manual Chapter 13 and Standard Specifications Division 8. Major focal points included pole footing design, cabinets and controllers, monitoring systems, communications systems, and figure updates. This work was completed through a project task force with a variety of participants (contractors, Iowa Department of Transportation, city traffic engineers, consultant, vendors, and University research and support staff).

Connections between signal processing and complex analysis

We describe one of the research lines of the Grup de Teoria de Funcions de la UAB UB, which deals with sampling and interpolation problems in signal analysis and their connections with complex function theory.

Bio-electrical impedance analysis for estimation of fat-free mass and muscle mass in cystic fibrosis patients.

The nutritional status of cystic fibrosis (CF) patients has to be regularly evaluated and alimentary support instituted when indicated. Bio-electrical impedance analysis (BIA) is a recent method for determining body composition. The present study evaluates its use in CF patients without any clinical sign of malnutrition. Thirty-nine patients with CF and 39 healthy subjects aged 6-24 years were studied. Body density and mid-arm muscle circumference were determined by anthropometry and skinfold measurements. Fat-free mass was calculated taking into account the body density. Muscle mass was obtained from the urinary creatinine excretion rate. The resistance index was calculated by dividing the square of the subject's height by the body impedance. We show that fat-free mass, mid-arm muscle circumference and muscle mass are each linearly correlated to the resistance index and that the regression equations are similar for both CF patients and healthy subjects.

Linear least squares estimation of the first order moving average parameter

We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the first order moving average parameter and provides a closed form of the estimator. The asymptotic properties of the method are discussed and the consistency of the linear least squares estimator is proved for the invertible case. We perform various Monte Carlo experiments in order to compare the sample properties of the linear least squares estimator with its nonlinear counterpart for the conditional and unconditional cases. Some examples are also discussed

Osteoporotic fracture risk in elderly women: estimation with quantitative heel US and clinical risk factors

PURPOSE: To derive a prediction rule by using prospectively obtained clinical and bone ultrasonographic (US) data to identify elderly women at risk for osteoporotic fractures. MATERIALS AND METHODS: The study was approved by the Swiss Ethics Committee. A prediction rule was computed by using data from a 3-year prospective multicenter study to assess the predictive value of heel-bone quantitative US in 6174 Swiss women aged 70-85 years. A quantitative US device to calculate the stiffness index at the heel was used. Baseline characteristics, known risk factors for osteoporosis and fall, and the quantitative US stiffness index were used to elaborate a predictive rule for osteoporotic fracture. Predictive values were determined by using a univariate Cox model and were adjusted with multivariate analysis. RESULTS: There were five risk factors for the incidence of osteoporotic fracture: older age (>75 years) (P < .001), low heel quantitative US stiffness index (<78%) (P < .001), history of fracture (P = .001), recent fall (P = .001), and a failed chair test (P = .029). The score points assigned to these risk factors were as follows: age, 2 (3 if age > 80 years); low quantitative US stiffness index, 5 (7.5 if stiffness index < 60%); history of fracture, 1; recent fall, 1.5; and failed chair test, 1. The cutoff value to obtain a high sensitivity (90%) was 4.5. With this cutoff, 1464 women were at lower risk (score, <4.5) and 4710 were at higher risk (score, >or=4.5) for fracture. Among the higher-risk women, 6.1% had an osteoporotic fracture, versus 1.8% of women at lower risk. Among the women who had a hip fracture, 90% were in the higher-risk group. CONCLUSION: A prediction rule obtained by using quantitative US stiffness index and four clinical risk factors helped discriminate, with high sensitivity, women at higher versus those at lower risk for osteoporotic fracture.

Validation of a wrist monitor for accurate estimation of RR intervals during sleep.

While the incidence of sleep disorders is continuously increasing in western societies, there is a clear demand for technologies to asses sleep-related parameters in ambulatory scenarios. The present study introduces a novel concept of accurate sensor to measure RR intervals via the analysis of photo-plethysmographic signals recorded at the wrist. In a cohort of 26 subjects undergoing full night polysomnography, the wrist device provided RR interval estimates in agreement with RR intervals as measured from standard electrocardiographic time series. The study showed an overall agreement between both approaches of 0.05 ± 18 ms. The novel wrist sensor opens the door towards a new generation of comfortable and easy-to-use sleep monitors.

Whole-rat protein content estimation: applicability of the Nx6.25 factor

The amino acid composition of the protein from three strains of rat (Wistar, Zucker lean and Zucker obese), subjected to reference and high-fat diets has been used to determine the mean empirical formula, molecular weight and N content of whole-rat protein. The combined whole protein of the rat was uniform for the six experimental groups, containing an estimate of 17.3% N and a mean aminoacyl residue molecular weight of 103.7. This suggests that the appropriate protein factor for the calculation of rat protein from its N content should be 5.77 instead of the classical 6.25. In addition, an estimate of the size of the non-protein N mass in the whole rat gave a figure in the range of 5.5 % of all N. The combination of the two calculations gives a protein factor of 5.5 for the conversion of total N into rat protein.

Thermal resonance in signal transmission

We use temperature tuning to control signal propagation in simple one-dimensional arrays of masses connected by hard anharmonic springs and with no local potentials. In our numerical model a sustained signal is applied at one site of a chain immersed in a thermal environment and the signal-to-noise ratio is measured at each oscillator. We show that raising the temperature can lead to enhanced signal propagation along the chain, resulting in thermal resonance effects akin to the resonance observed in arrays of bistable systems.

Cardiovascular risk estimation and eligibility for statins in primary prevention comparing different strategies

Recommendations for statin use for primary prevention of coronary heart disease (CHD) are based on estimation of the 10-year CHD risk. It is unclear which risk algorithm and guidelines should be used in European populations. Using data from a population-based study in Switzerland, we first assessed 10-year CHD risk and eligibility for statins in 5,683 women and men 35 to 75 years of age without cardiovascular disease by comparing recommendations by the European Society of Cardiology without and with extrapolation of risk to age 60 years, the International Atherosclerosis Society, and the US Adult Treatment Panel III. The proportions of participants classified as high-risk for CHD were 12.5% (15.4% with extrapolation), 3.0%, and 5.8%, respectively. Proportions of participants eligible for statins were 9.2% (11.6% with extrapolation), 13.7%, and 16.7%, respectively. Assuming full compliance to each guideline, expected relative decreases in CHD deaths in Switzerland over a 10-year period would be 16.4% (17.5% with extrapolation), 18.7%, and 19.3%, respectively; the corresponding numbers needed to treat to prevent 1 CHD death would be 285 (340 with extrapolation), 380, and 440, respectively. In conclusion, the proportion of subjects classified as high risk for CHD varied over a fivefold range across recommendations. Following the International Atherosclerosis Society and the Adult Treatment Panel III recommendations might prevent more CHD deaths at the cost of higher numbers needed to treat compared with European Society of Cardiology guidelines.

The biology of cancer stem cells : part 1: nuclear translocation of CD44 : part 2: IMP2 in glioblastoma cancer stem cells

SummaryCancer stem cells (CSC) are poorly differentiated, slowly proliferating cells, with high tumorigenic potential. Some of these cells, as it has been shown in leukemia, evade chemo- and radiotherapy and recapitulate the tumor composed of CSC and their highly proliferative progeny. Therefore, understanding the molecular biology of those cells is crucial for improvement of currently used anti-cancer therapies.This work is composed of two CSC-related projects. The first deals with CD44, a frequently used marker of CSC; the second involves Imp2 and its role in CSC bioenergetics. PART 1. CD44 is a multifunctional transmembrane protein involved in migration, homing, adhesion, proliferation and survival. It is overexpressed in many cancers and its levels are correlated with poor prognosis. CD44 is also highly expressed by CSC and in many malignancies it is used for CSC isolation.In the present work full-lenght CD44 nuclear localization was studied, including the mechanism of nuclear translocation and its functional role in the nucleus. Full-length CD44 can be found in nuclei of various cell types, regardless of their tumorigenic potential. For nuclear localization, CD44 needs to be first inserted into the cell membrane, from which it is transported via the endocytic pathway. Upon binding to transportinl it is translocated to the nucleus. The nuclear localization signal recognized by transportinl has been determined as the first 20 amino acids of the membrane proximal intracellular domain. Nuclear export of CD44 is facilitated by exportin Crml. Investigation of the function of nuclear CD44 revealed its implication in de novo RNA synthesis.PART 2. Glioblastoma multiforme is the most aggressive and most frequent brain malignancy. It was one of the first solid tumors from which CSC have been isolated. Based on the similarity between GBM CSC and normal stem cells expression of an oncofetal mRNA binding protein Imp2 has been investigated.Imp2 is absent in normal brain as well as in low grade gliomas, but is expressed in over 75% GBM cases and its expression is higher in CSC compared to their more differentiated counterparts. Analysis of mRNA transcripts bound by Imp2 and its protein interactors revealed that in GBM CSC Imp2 may be implicated in mitochondrial metabolism. Indeed, shRNA mediated silencing of protein expression led to decreased mitochondrial activity, decreased oxygen consumption and decreased activity of respiratory chain protein complex I. Moreover, lack of Imp2 severely affected self-renewal and tumorigenicity of GBM CSC. Experimental evidence suggest that GBM CSC depend on mitochondrial oxidative phosphorylation as an energy producing pathway and that Imp2 is a novel regulator of this pathway.RésuméLes cellules cancéreuses souches sont des cellules peu différentiées, à proliferation lente et hautement tumorigénique. Ces cellules sont radio-chimio résistantes et sont capable reformer la tumeur dans sont intégralité, reproduisant l'hétérogénéité cellulaire présent dans la tumeur d'origine. Pour améliorer les therapies antitumorales actuelles il est crucial de comprendre les mécanismes moléculaires qui caractérisent cette sous-population de cellules hautement malignes.Ce travail de thèse se compose de deux projets s'articulant autour du même axe :Le CD44 est une protéine multifonctionnelle et transmembranaire très souvent utilisée comme marqueur de cellules souches tumorales dans différents cancers. Elle est impliquée dans la migration, l'adhésion, la prolifération et la survie des cellules. Lors de ce travail de recherche, nous nous sommes intéressés à la localisation cellulaire du CD44, ainsi qu'aux mécanismes permettant sa translocation nucléaire. En effet, bien que principalement décrit comme un récepteur de surface transmembranaire, le CD44 sous sa forme entière, non clivée en peptides, peut également être observé à l'intérieur du noyau de diverses cellules, quel que soit leur potentiel tumorigénique. Pour passer ainsi d'un compartiment cellulaire à un autre, le CD44 doit d'abord être inséré dans la membrane plasmique, d'où il est transporté par endocytose jusqu'à l'intérieur du cytoplasme. La transportai permet ensuite la translocation nucléaire du CD44 via une « séquence signal » contenue dans les 20 acides aminés du domaine cytoplasmique qui bordent la membrane. A l'inverse, le CD44 est exporté du noyau grâce à l'exportin Crml. En plus des mécanismes décrits ci-dessus, cette étude a également mis en évidence l'implication du CD44 dans la synthèse des ARN, d'où sa présence dans le noyau.Le glioblastome est la plus maligne et la plus fréquente des tumeurs cérébrales. Dans ce second projet de recherche, le rôle de IMP2 dans les cellules souches tumorales de glioblastomes a été étudié. La présence de cette protéine oncofoetale a d'abord été mise en évidence dans 75% des cas les plus agressifs des gliomes (grade IV, appelés glioblastomes), tandis qu'elle n'est pas exprimée dans les grades I à III de ces tumeurs, ni dans le cerveau sain. De plus, IMP2 est apparue comme étant davantage exprimée dans les cellules souches tumorales que dans les cellules déjà différenciées. La baisse de l'expression de IMP2 au moyen de shRNA a résulté en une diminution de l'activité mitochondriale, en une réduction de la consommation d'oxygène ainsi qu'en une baisse de l'activité du complexe respiratoire I.L'inhibition de IMP2 a également affecté la capacité de renouvellement de la population des cellules souches tumorales ainsi que leur aptitude à former des tumeurs.Lors de ce travail de thèse, une nouvelle fonction d'un marqueur de cellules souches tumorales a été mise en évidence, ainsi qu'un lien important entre la bioénergétique de ces cellules et l'expression d'une protéine oncofoetale.

Novel acid phosphatase in Candida glabrata suggests selective pressure and niche specialization in the phosphate signal transduction pathway.

Evolution through natural selection suggests unnecessary genes are lost. We observed that the yeast Candida glabrata lost the gene encoding a phosphate-repressible acid phosphatase (PHO5) present in many yeasts including Saccharomyces cerevisiae. However, C. glabrata still had phosphate starvation-inducible phosphatase activity. Screening a C. glabrata genomic library, we identified CgPMU2, a member of a three-gene family that contains a phosphomutase-like domain. This small-scale gene duplication event could allow for sub- or neofunctionalization. On the basis of phylogenetic and biochemical characterizations, CgPMU2 has neofunctionalized to become a broad range, phosphate starvation-regulated acid phosphatase, which functionally replaces PHO5 in this pathogenic yeast. We determined that CgPmu2, unlike ScPho5, is not able to hydrolyze phytic acid (inositol hexakisphosphate). Phytic acid is present in fruits and seeds where S. cerevisiae grows, but is not abundant in mammalian tissues where C. glabrata grows. We demonstrated that C. glabrata is limited from an environment where phytic acid is the only source of phosphate. Our work suggests that during evolutionary time, the selection for the ancestral PHO5 was lost and that C. glabrata neofunctionalized a weak phosphatase to replace PHO5. Convergent evolution of a phosphate starvation-inducible acid phosphatase in C. glabrata relative to most yeast species provides an example of how small changes in signal transduction pathways can mediate genetic isolation and uncovers a potential speciation gene.

Bayesian estimation of speciation and extinction from incomplete fossil occurrence data.

The temporal dynamics of species diversity are shaped by variations in the rates of speciation and extinction, and there is a long history of inferring these rates using first and last appearances of taxa in the fossil record. Understanding diversity dynamics critically depends on unbiased estimates of the unobserved times of speciation and extinction for all lineages, but the inference of these parameters is challenging due to the complex nature of the available data. Here, we present a new probabilistic framework to jointly estimate species-specific times of speciation and extinction and the rates of the underlying birth-death process based on the fossil record. The rates are allowed to vary through time independently of each other, and the probability of preservation and sampling is explicitly incorporated in the model to estimate the true lifespan of each lineage. We implement a Bayesian algorithm to assess the presence of rate shifts by exploring alternative diversification models. Tests on a range of simulated data sets reveal the accuracy and robustness of our approach against violations of the underlying assumptions and various degrees of data incompleteness. Finally, we demonstrate the application of our method with the diversification of the mammal family Rhinocerotidae and reveal a complex history of repeated and independent temporal shifts of both speciation and extinction rates, leading to the expansion and subsequent decline of the group. The estimated parameters of the birth-death process implemented here are directly comparable with those obtained from dated molecular phylogenies. Thus, our model represents a step towards integrating phylogenetic and fossil information to infer macroevolutionary processes.

Estimation of soil nitrate in the spring as a basis for adjustment of nitrogen fertiliser rates

Selostus: Maassa olevan nitraattitypen arviointi simulointimallin avulla