Effects of selection and drift on G matrix evolution in a heterogeneous environment: a multivariate Qst-Fst Test with the freshwater snail Galba truncatula.

Unraveling the effect of selection vs. drift on the evolution of quantitative traits is commonly achieved by one of two methods. Either one contrasts population differentiation estimates for genetic markers and quantitative traits (the Q(st)-F(st) contrast) or multivariate methods are used to study the covariance between sets of traits. In particular, many studies have focused on the genetic variance-covariance matrix (the G matrix). However, both drift and selection can cause changes in G. To understand their joint effects, we recently combined the two methods into a single test (accompanying article by Martin et al.), which we apply here to a network of 16 natural populations of the freshwater snail Galba truncatula. Using this new neutrality test, extended to hierarchical population structures, we studied the multivariate equivalent of the Q(st)-F(st) contrast for several life-history traits of G. truncatula. We found strong evidence of selection acting on multivariate phenotypes. Selection was homogeneous among populations within each habitat and heterogeneous between habitats. We found that the G matrices were relatively stable within each habitat, with proportionality between the among-populations (D) and the within-populations (G) covariance matrices. The effect of habitat heterogeneity is to break this proportionality because of selection for habitat-dependent optima. Individual-based simulations mimicking our empirical system confirmed that these patterns are expected under the selective regime inferred. We show that homogenizing selection can mimic some effect of drift on the G matrix (G and D almost proportional), but that incorporating information from molecular markers (multivariate Q(st)-F(st)) allows disentangling the two effects.

Value of PET/CT versus contrast-enhanced CT in identifying chest wall invasion (T3) by NSCLC [B-671]

Purpose: To determine the diagnostic value of 18F-FDG PET/CT versus contrastenhanced CT in identifying chest wall invasion by NSCLC. Methods and Materials: The primary selection criterion was a peripheral tumor of any size with contact to the chest wall. A total of 25 patients with pathologically proven NSCLC satisfied these criteria. Chest wall invasion was interpreted upon PET/CT when a frank costal or intercostal 18F-FDG uptake was identified with or without concomitant morphologic alterations. On the other hand, the existence of periosteal rib reaction/erosion, chest wall thickening or obliteration of the pleural fat layer either separately or combined were considered essential diagnostic criteria for disease extension into the chest wall upon contrast-enhanced CT. The results were correlated with the final histological analysis. Results: Among the studied cohort, 13/25 (52%) patients had chest wall invasion consistent with T3 disease. Both PET/CT and contrast-enhanced CT successfully identified 12/13 (92%) of these patients. The single false-negative result was due to parietal pleural invasion. On the other hand, one false-positive result was encountered by PET/CT in a dyspneic patient; whereas, CT analysis revealed false-positive results in six patients. In these patients, periosteal rib reaction (n = 2) or asymmetric enlargement of adjacent chest wall muscles (n = 1) were identified along with an obliterated pleural fat layer (n = 6). The sensitivity, specificity, and accuracy of PET/CT and contrast-enhanced CT were 92, 91 and 92% versus 92, 50 and 72%. Conclusion: 18F-FDG PET/CT is an accurate diagnostic modality in identifying.

A house price index defined in the potential outcomes framework

Current methods for constructing house price indices are based on comparisons of sale prices of residential properties sold two or more times and on regression of the sale prices on the attributes of the properties and of their locations. The two methods have well recognised deficiencies, selection bias and model assumptions, respectively. We introduce a new method based on propensity score matching. The average house prices for two periods are compared by selecting pairs of properties, one sold in each period, that are as similar on a set of available attributes (covariates) as is feasible to arrange. The uncertainty associated with such matching is addressed by multiple imputation, framing the problem as involving missing values. The method is applied to aregister of transactions ofresidential properties in New Zealand and compared with the established alternatives.

Whole-cell bioprocessing of human fetal cells for tissue engineering of skin.

Current restrictions for human cell-based therapies have been related to technological limitations with regards to cellular proliferation capacity (simple culture conditions), maintenance of differentiated phenotype for primary human cell culture and transmission of communicable diseases. Cultured primary fetal cells from one organ donation could possibly meet the exigent and stringent technical aspects for development of therapeutic products. Master and working cell banks from one fetal organ donation (skin) can be developed in short periods of time and safety tests can be performed at all stages of cell banking. For therapeutic use, fetal cells can be used up to two thirds of their life-span in an out-scaling process and consistency for several biological properties includes protein concentration, gene expression and biological activity. As it is the intention that banked primary fetal cells can profit from the prospected treatment of hundreds of thousands of patients with only one organ donation, it is imperative to show consistency, tracability and safety of the process including donor tissue selection, cell banking, cell testing and growth of cells in out-scaling for the preparation of whole-cell tissue-engineering products.

Natural selection in a postglacial range expansion: the case of the colour cline in the European barn owl.

Gradients of variation-or clines-have always intrigued biologists. Classically, they have been interpreted as the outcomes of antagonistic interactions between selection and gene flow. Alternatively, clines may also establish neutrally with isolation by distance (IBD) or secondary contact between previously isolated populations. The relative importance of natural selection and these two neutral processes in the establishment of clinal variation can be tested by comparing genetic differentiation at neutral genetic markers and at the studied trait. A third neutral process, surfing of a newly arisen mutation during the colonization of a new habitat, is more difficult to test. Here, we designed a spatially explicit approximate Bayesian computation (ABC) simulation framework to evaluate whether the strong cline in the genetically based reddish coloration observed in the European barn owl (Tyto alba) arose as a by-product of a range expansion or whether selection has to be invoked to explain this colour cline, for which we have previously ruled out the actions of IBD or secondary contact. Using ABC simulations and genetic data on 390 individuals from 20 locations genotyped at 22 microsatellites loci, we first determined how barn owls colonized Europe after the last glaciation. Using these results in new simulations on the evolution of the colour phenotype, and assuming various genetic architectures for the colour trait, we demonstrate that the observed colour cline cannot be due to the surfing of a neutral mutation. Taking advantage of spatially explicit ABC, which proved to be a powerful method to disentangle the respective roles of selection and drift in range expansions, we conclude that the formation of the colour cline observed in the barn owl must be due to natural selection.

Measurement Errors Should Always Be Incorporated in Phylogenetic Comparative Analysis

The evolution of continuous traits is the central component of comparative analyses in phylogenetics, and the comparison of alternative models of trait evolution has greatly improved our understanding of the mechanisms driving phenotypic differentiation. Several factors influence the comparison of models, and we explore the effects of random errors in trait measurement on the accuracy of model selection. We simulate trait data under a Brownian motion model (BM) and introduce different magnitudes of random measurement error. We then evaluate the resulting statistical support for this model against two alternative models: Ornstein-Uhlenbeck (OU) and accelerating/decelerating rates (ACDC). Our analyses show that even small measurement errors (10%) consistently bias model selection towards erroneous rejection of BM in favour of more parameter-rich models (most frequently the OU model). Fortunately, methods that explicitly incorporate measurement errors in phylogenetic analyses considerably improve the accuracy of model selection. Our results call for caution in interpreting the results of model selection in comparative analyses, especially when complex models garner only modest additional support. Importantly, as measurement errors occur in most trait data sets, we suggest that estimation of measurement errors should always be performed during comparative analysis to reduce chances of misidentification of evolutionary processes.

R&D Performance Analysis: Case Studies on the Challenges and Promotion of the Evaluation and Measurement of R&D

Due to the intense international competition, demanding, and sophisticated customers, and diverse transforming technological change, organizations need to renew their products and services by allocating resources on research and development (R&D). Managing R&D is complex, but vital for many organizations to survive in the dynamic, turbulent environment. Thus, the increased interest among decision-makers towards finding the right performance measures for R&D is understandable. The measures or evaluation methods of R&D performance can be utilized for multiple purposes; for strategic control, for justifying the existence of R&D, for providing information and improving activities, as well as for the purposes of motivating and benchmarking. The earlier research in the field of R&D performance analysis has generally focused on either the activities and considerable factors and dimensions - e.g. strategic perspectives, purposes of measurement, levels of analysis, types of R&D or phases of R&D process - prior to the selection of R&Dperformance measures, or on proposed principles or actual implementation of theselection or design processes of R&D performance measures or measurement systems. This study aims at integrating the consideration of essential factors anddimensions of R&D performance analysis to developed selection processes of R&D measures, which have been applied in real-world organizations. The earlier models for corporate performance measurement that can be found in the literature, are to some extent adaptable also to the development of measurement systemsand selecting the measures in R&D activities. However, it is necessary to emphasize the special aspects related to the measurement of R&D performance in a way that make the development of new approaches for especially R&D performance measure selection necessary: First, the special characteristics of R&D - such as the long time lag between the inputs and outcomes, as well as the overall complexity and difficult coordination of activities - influence the R&D performance analysis problems, such as the need for more systematic, objective, balanced and multi-dimensional approaches for R&D measure selection, as well as the incompatibility of R&D measurement systems to other corporate measurement systems and vice versa. Secondly, the above-mentioned characteristics and challenges bring forth the significance of the influencing factors and dimensions that need to be recognized in order to derive the selection criteria for measures and choose the right R&D metrics, which is the most crucial step in the measurement system development process. The main purpose of this study is to support the management and control of the research and development activities of organizations by increasing the understanding of R&D performance analysis, clarifying the main factors related to the selection of R&D measures and by providing novel types of approaches and methods for systematizing the whole strategy- and business-based selection and development process of R&D indicators.The final aim of the research is to support the management in their decision making of R&D with suitable, systematically chosen measures or evaluation methods of R&D performance. Thus, the emphasis in most sub-areas of the present research has been on the promotion of the selection and development process of R&D indicators with the help of the different tools and decision support systems, i.e. the research has normative features through providing guidelines by novel types of approaches. The gathering of data and conducting case studies in metal and electronic industry companies, in the information and communications technology (ICT) sector, and in non-profit organizations helped us to formulate a comprehensive picture of the main challenges of R&D performance analysis in different organizations, which is essential, as recognition of the most importantproblem areas is a very crucial element in the constructive research approach utilized in this study. Multiple practical benefits regarding the defined problemareas could be found in the various constructed approaches presented in this dissertation: 1) the selection of R&D measures became more systematic when compared to the empirical analysis, as it was common that there were no systematic approaches utilized in the studied organizations earlier; 2) the evaluation methods or measures of R&D chosen with the help of the developed approaches can be more directly utilized in the decision-making, because of the thorough consideration of the purpose of measurement, as well as other dimensions of measurement; 3) more balance to the set of R&D measures was desired and gained throughthe holistic approaches to the selection processes; and 4) more objectivity wasgained through organizing the selection processes, as the earlier systems were considered subjective in many organizations. Scientifically, this dissertation aims to make a contribution to the present body of knowledge of R&D performance analysis by facilitating dealing with the versatility and challenges of R&D performance analysis, as well as the factors and dimensions influencing the selection of R&D performance measures, and by integrating these aspects to the developed novel types of approaches, methods and tools in the selection processes of R&D measures, applied in real-world organizations. In the whole research, facilitation of dealing with the versatility and challenges in R&D performance analysis, as well as the factors and dimensions influencing the R&D performance measure selection are strongly integrated with the constructed approaches. Thus, the research meets the above-mentioned purposes and objectives of the dissertation from the scientific as well as from the practical point of view.

Elintarviketehtaan tuotantolinjan kunnonvalvonnan kehittäminen

Tutkimuksen tavoitteena oli kunnonvalvontajärjestelmän kehittäminen nykyaikaiselle elintarviketeollisuuden tuotantolinjalle. Työssä etsittiin olemassa olevia kunnonvalvontamenetelmiä ja -sovelluksia erityisesti jäätelötuotantolaitteiden tarpeisiin. Kirjallisuudesta löydettiin sovelluksia lähinnä yksittäisille komponenteille ja kone-elimille. Tutkimuksen kohteena oleva tuotantolinja käytiin läpi toimintojen ja komponenttien osalta. Tehtaan laitekantaa ja valmiutta kunnonvalvonnan käyttöönotolle käsiteltiin yleisellä tasolla. Kunnonvalvontajärjestelmää kehitettäessä käytettiin hyväksi kirjallisuudesta löytyneitä menetelmiä, joista soveltuvimpia käytettiin kunnonvalvontametodien kartoittamiseen. Kunnonvalvontametodit muodostettiin toiminnanohjausjärjestelmästä ja linjan käyttöönotosta saatujen tietojen avulla. Tietoja käytettiin vika-vaikutusanalyysissä, joka oli pohjana komponentti- ja menetelmäkohtaisessa analyysissa. Kriittisiä ja tuotannon tehokkuuteen vaikuttavia koneenosia ja kokonaisuuksia tarkasteltiin kunnonvalvontamenetelmien soveltuvuuden avulla. Tutkimuksen edetessä kehitettiin kokonaisvaltaiset toiminnanohjausjärjestelmän avulla toimivat eritasoiset kunnonvalvontahypoteesit, joiden avulla linjan yksittäisten komponenttien kuntoa voidaan valvoa. Lisäksi tutkimuksessa kehitettiin uusia kunnonvalvontasovelluksia, joita on mahdollista käyttää myös tehtaan muilla linjoilla. Kunnonvalvontahypoteeseja käytettiin kokonaisen kunnonvalvontajärjestelmän luomiseen. Tehtaalla on mahdollisuus valita käyttöönotettavan kunnonvalvonnan taso hypoteesien sekä kunnossapitostrategian avulla.

Toimittajayhteistyömallit ja niiden valintaan vaikuttavat tekijät

Tämä kandidaatintyö käsittelee toimittajayhteistyömalleja ja niiden valintaan vaikuttavia tekijöitä. Työn tavoitteena on saada kattava käsitys siitä, mitkä tekijät vaikuttavat toimittajayhteistyömallin valintaan ja millaisiin olosuhteisiin eri yhteistyömallit sopivat. Työ on toteutettu kirjallisuuskatsauksena. Työssä esitellään varastoinnin keskeisimmät syyt ja varastonhallinnan haasteet, jotka ovat yleisimpiä syitä siirtyä tekemään yhteistyötä toimittajien kanssa. Työssä tutkitaan erilaisia toimittajayhteistyömalleja eri integraatiotasoilta, jotta saadaan mahdollisimman laaja käsitys yrityksen eri valintamahdollisuuksista. Toimittajayhteistyömallin valinnassa yrityksen tulisi ottaa huomioon strategian yhteensopivuuden lisäksi tuoteominaisuudet, yhteistyötoimittajan ominaisuudet, kustannukset, maantieteellinen sijainti sekä yhteistyön toteuttamiseen vaadittava aika ja vaiva. Tutkimuksessa havaittiin, että toimittajayhteistyömallit sopivat erilaisiin olosuhteisiin ja ne ovat hyvin muokattavissa yrityksen tarpeisiin. Syvemmät yhteistyömallit vaativat toimiakseen enemmän aikaa ja investointeja. Kriittisiksi tekijöiksi yhteistyömallin valinnassa nousivat luottamus toimittajaan ja osapuolten halu panostaa yhteistyösuhteeseen.

A maximum likelihood framework for protein design

Affiliation: Claudia Kleinman, Nicolas Rodrigue & Hervé Philippe : Département de biochimie, Faculté de médecine, Université de Montréal

Analyse de la politique et des règles de procédure d’I.C.A.N.N. relatives au règlement des conflits entre les titulaires de marques de commerce et les détenteurs de noms de domaine

"L’enregistrement de noms de domaine, basé sur la règle du « premier arrivé, premier servi », n’a pas échappé à des personnes peu scrupuleuses qui se sont empressées d’enregistrer comme noms de domaine des marques de commerce, phénomène connu sous le nom de « cybersquattage ». L’U.D.R.P. (Uniform domain name Dispute Resolution Policy) est une procédure internationale qui a été adoptée pour régler les différends relatifs à cette pratique. La procédure de l’U.D.R.P. est conçue pour être rapide, efficace et simple. Même si le fardeau de preuve reposant sur le titulaire de marque de commerce peut sembler lourd, l’analyse de la procédure démontre qu’elle n’offre pas aux détenteurs de noms de domaine un procès juste et équitable, notamment en raison des délais très courts, de l’absence de voies de recours internes en cas de défaut et de l’obligation de saisir les tribunaux de droit commun. La procédure de l’U.D.R.P. ne présente aussi aucun caractère dissuasif envers les titulaires de marques qui tenteraient de s’approprier un nom de domaine enregistré dans des conditions légitimes. Une étude des décisions issues de la Procédure U.D.R.P. révèle qu’il existe un déséquilibre flagrant en faveur des titulaires de marques de commerces; les organismes accrédités se taillant la plus grande part du marché sont ceux dont les décisions sont généralement plus favorables aux titulaires de marques. Une variété d’arguments sont avancés pour expliquer ces résultats mais les études démontrent que la Procédure U.D.R.P. doit faire l’objet de réformes. La réforme devrait comprendre deux volets : premièrement, la modification du mode de désignation des organismes accrédités chargés d’administrer la Procédure U.D.R.P. ainsi que la modification du processus de sélection des commissaires; deuxièmement, une réforme relative aux délais, à la langue des procédures et au phénomène des procédures abusives intentées par des détenteurs de marques de commerce à l?égard d’enregistrements légitimes."

The demand for a healthy diet: estimating the almost ideal demand system with infrequency of purchase

A Bayesian method of estimating multivariate sample selection models is introduced and applied to the estimation of a demand system for food in the UK to account for censoring arising from infrequency of purchase. We show how it is possible to impose identifying restrictions on the sample selection equations and that, unlike a maximum likelihood framework, the imposition of adding up at both latent and observed levels is straightforward. Our results emphasise the role played by low incomes and socio-economic circumstances in leading to poor diets and also indicate that the presence of children in a household has a negative impact on dietary quality.

Predição da maturação puberal de indivíduos do sexo masculino a partir de variáveis antropométricas

The methods of analysis of the selection system sports talent sometimes do not consider the biological age of the athletes, since that the assessment of maturational moment have several limitations The aim of this work is to develop a predictive equation of pubertal assessment in male subjects, based on anthropometric measurements. We evaluated 206 young boys, aged between eight and 18 years, and studing in public and private schools in Natal, Brazil. The sample selection was done randomly, being used the anthropometric measurements and pubertal maturation evaluation according to the Tanner stages. Statistical analysis followed the presentation of central tendency measures and their derivatives. The inferential analysis was performed according to the ANOVA test, multivariate discriminant analysis and weighted Kappa. The advancement of pubertal stages was accompanied by significant changes in anthropometric variables, demonstrating the relationship presented in both. For this purpose, discriminant analysis selected eight variables with the highest prediction of pubertal maturation, and created an equation with a significance level of 75%. and concordance level of 0.840, considered as excellent. This shows that the prediction of pubertal maturation from anthropometric variables presented as a valid method, being used as a practical tool in sports talents selection

Analysis of genetic correlations of hip height with selection indices and mature weight in Nelore cattle

Body size is directly related to the productive and reproductive performance of beef cattle raised under free-range conditions. In an attempt to better plan selection criteria, avoiding extremes in body size, this study estimated the heritabilities and genetic correlations of yearling hip height (YH) and mature hip height (MH) with selection indices obtained at weaning (WI) and yearling (YI) and mature weight (MW). Data from 102,373 Nelore animals born between 1984 and 2010, which belong to 263 farms that participate in genetic evaluation programmes of beef cattle conducted in Brazil and Paraguay, were used. The (co)variance components and genetic parameters were estimated by Bayesian inference in multi-trait analysis using an animal model. The mean heritabilities for YH, MH and MW were 0. 56 ± 0. 06, 0. 47 ± 0. 02 and 0. 42 ± 0. 02, respectively. The genetic correlation of YH with WI (0. 13 ± 0. 01) and YI (0. 11 ± 0. 01) was practically zero, whereas a higher correlation was observed with MW (0. 22 ± 0. 03). Positive genetic correlations of medium magnitude were estimated between MH and WI and YI (0. 23 ± 0. 01 and 0. 43 ± 0. 02, respectively). On the other hand, a high genetic correlation (0. 68 ± 0. 03) was observed between the indicator traits of mature body size (MH and MW). Considering the top 20 % of sire (896 sires) in terms of breeding values for the yearling index, the rank sire correlations between breeding values for MH and MW was 0. 62. In general, the results indicate that selection based on WI and YI should not lead to important changes in YH. However, an undesired correlated response in mature cow height is expected, particularly when selection is performed using YI. Therefore, changes in the body structure of Nelore females can be obtained when MH and MW is used as a selection criterion for cows. © 2012 Institute of Plant Genetics, Polish Academy of Sciences, Poznan.

Análise do processo de gestão de portfólio de projetos seis sigma em indústrias brasileiras do setor automotivo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)