Coronary artery calcification is associated with insulin resistance index in patients with type 1 diabetes

The objective of the present study was to evaluate the risk factors associated with the presence of coronary artery calcification (CAC) in patients with type 1 diabetes (T1D). A cross-sectional study was conducted on 100 consecutive T1D patients without coronary artery disease, with at least 5 years of diabetes and absence of end-stage renal disease. Mean age was 38 ± 10 years and 57% were males. CAC score was measured by multidetector computed tomography (Siemens Sensation 64 Cardiac). The insulin resistance index was measured using the estimated glucose disposal rate (eGDR). The eGDR was lower among CAC-positive patients than among CAC-negative patients, suggesting an increased insulin resistance. In a logistic regression model adjusted for age (at 10-year intervals), eGDR, diabetic nephropathy and gender, CAC was associated with age [OR = 2.73 (95%CI = 1.53-4.86), P = 0.001] and with eGDR [OR = 0.08 (95%CI = 0.02-0.21), P = 0.004]. In T1D subjects, insulin resistance is one of the most important risk factors for subclinical atherosclerosis.

Yhdysvaltalaisten matkustajalentoyhtiöiden rahoituksellisen lentopolttoaineen hintasuojautumisen kustannusvaikutukset 2000-luvulla

Tämän kandidaatintutkielman tarkoituksena on tutkia, miten yhdysvaltalaisten lentoyhtiöiden harjoittama rahoituksellinen lentopolttoaineen hintasuojaus on vaikuttanut niiden keskimääräisiin polttoainekustannuksiin 2000-luvun aikana. Lisäksi tavoitteena on kirjallisuuskatsauksen muodossa tarkastella lentopolttoaineen hintariskiä ja siltä suojautumista. Aiheeseen liittyvä aiempi tutkimus on pääasiassa keskittynyt rahoitusasemaan liittyvien vaikutusten tarkasteluun. Tässä tutkielmassa puolestaan tutkitaan suojauksen vaikutusta tarkasteltavien lentoyhtiöiden liiketoiminnan kustannuksiin. Lentopolttoaineen hintasuojauksen kustannusvaikutuksia arvioidaan regressiomallilla, jossa selitettävänä muuttujana on lentoyhtiön keskimääräinen polttoainekustannus. Selittävinä muuttujina puolestaan toimivat seuraavan vuoden arvioiduista polttoainehankinnoista rahoituksellisin keinoin suojattujen hankintojen osuus sekä lentopolttoaineen keskimääräinen markkinahinta kunakin tarkasteluvuonna. Tutkimuksen aineisto koostuu kymmenestä yhdysvaltalaisesta lentoyhtiöstä ja niiden 2000-luvulla vuosikertomuksissaan raportoimista tiedoista liittyen polttoainekustannuksiin ja rahoitukselliseen polttoaineen hintasuojaukseen. Lisäksi lentopolttoaineen keskimääräiset vuotuiset markkinahinnat tarkastelujakson ajalta haetaan Yhdysvaltain energiainformaatiota välittävän viranomaisen verkkotietokannasta. Johtopäätöksenä todetaan yhdysvaltalaisten lentoyhtiöiden rahoituksellisen polttoaineen hintasuojauksen vähentäneen niiden keskimääräisiä polttoainekustannuksia 2000-luvun aikana. Lentopolttoaineen markkinahinnan todetaan vaikuttavan kustannuksiin reilusti lentoyhtiöiden suojaustoimenpiteitä voimakkaammin. Lisäksi aiempiin tutkimuksiin ja toisaalta tässä tutkielmassa estimoitavan mallin autokorreloituvaan luonteeseen nojaten todetaan, että tämän mallin selittävät muuttujat eivät ole ainoat keskimääräisiin polttoainekustannuksiin vaikuttavat tekijät. Yhteenvetona todetaankin tarkempaa lisätutkimusta tarvittavan, jotta tämän tutkielman tulokset voidaan luotettavammin yleistää.

Actual and perceived coaches' sportspersonship behaviours and their relationship with young athletes' sportspersonship orientations

Hom' s (2008) model of coaching effectiveness provides a framework that outlines the antecedent factors that influence coaches' behaviours as well as the way in which coaches' behaviours can influence the psychosocial development of athletes. Perceived coaches" behaviours have been shown to predict the self-reported unsportspersonlike behaviours of young athletes (Shields et aI., 2007). However, very few studies have examined actual coaches' sportspersonship behaviours (Arthur-Banning et aI., 2009; Cote et aI., 1993; Trudel e t aI., 1991). The purpose of this exploratory study was to investigate the relationships between coaches' and athletes' sportspersonship orientations and behaviours. Participants included competitive male basketball coaches (N = 5) and their male athletes aged 10 to 13 (N= 48). Two investigators systematically observed coaches' sportspersonship behaviours. Subsequently, coaches and athletes completed questionnaires based on the Multidimensional Sportspersonship Orientations Scale (MSOS; Vallerand et aI., 1997). The results showed that coaches' self-reported sportspersonship orientations and athletes' perceptions of their coaches behaviours were consistent with coaches' actual behaviours for respect for the rules and officials as well as for social conventions. A series of multiple regressions were conducted in order to determine whether or not athletes' perceptions of their coaches' sportspersonship behaviours predicted the sportspersonship orientations of athletes. The only significant regression model was for athletes' negative approach toward sport participation. The results also suggest that the MSOS has reliability and validity issues.

The National Hockey League (NHL) Entry Draft: An Examination of the Impact of Brand Associations Attached to the Russian Hockey Players

This research was conducted to investigate whether negative brand associations attached to Russian hockey players impact their draft rankings during the National Hockey League (NHL) Entry Draft. A quantitative analysis based on various regression model specifications was used to test whether Russian players were drafted relatively equally to their counterparts in the NHL Entry Draft. The data consisted of the NHL draft picks between 1993 and 2013 and their performance statistics and physical characteristics. The results suggested that Russian players were drafted relatively equal to their counterparts from other countries. Meanwhile, Russian players who played in the CHL before the draft are actually drafted better than Canadians who played in the same league. Hence, the negative brand associations attached to Russians were unlikely to impact their draft rankings. This study redefined the so-called “Russian Factor” from a notion that allegedly damages Russian players’ rankings to one that enhances their rankings.

Estimating the Tobit Model with Serial Correlation: an Operational Approach

Several Authors Have Discussed Recently the Limited Dependent Variable Regression Model with Serial Correlation Between Residuals. the Pseudo-Maximum Likelihood Estimators Obtained by Ignoring Serial Correlation Altogether, Have Been Shown to Be Consistent. We Present Alternative Pseudo-Maximum Likelihood Estimators Which Are Obtained by Ignoring Serial Correlation Only Selectively. Monte Carlo Experiments on a Model with First Order Serial Correlation Suggest That Our Alternative Estimators Have Substantially Lower Mean-Squared Errors in Medium Size and Small Samples, Especially When the Serial Correlation Coefficient Is High. the Same Experiments Also Suggest That the True Level of the Confidence Intervals Established with Our Estimators by Assuming Asymptotic Normality, Is Somewhat Lower Than the Intended Level. Although the Paper Focuses on Models with Only First Order Serial Correlation, the Generalization of the Proposed Approach to Serial Correlation of Higher Order Is Also Discussed Briefly.

Impact d’une infection intra-mammaire causée par Staphylococcus aureus ou un staphylocoque coagulase-négative présente en début de lactation chez les taures laitières

L’objectif de cette étude était de déterminer l’impact d’une infection intra-mammaire (IIM) subclinique causée par staphylocoque coagulase-négative (SCN) ou Staphylococcus aureus diagnostiquée durant le premier mois de lactation chez les taures sur le comptage de cellules somatiques (CCS), la production laitière et le risque de réforme durant la lactation en cours. Des données bactériologiques provenant d’échantillons de lait composites de 2 273 taures Holstein parmi 50 troupeaux ont été interprétées selon les recommandations du National Mastitis Council. Parmi 1 691 taures rencontrant les critères de sélection, 90 (5%) étaient positives à S. aureus, 168 (10%) étaient positives à SCN et 153 (9%) étaient négatives (aucun agent pathogène isolé). Le CCS transformé en logarithme népérien (lnCCS) a été modélisé via une régression linéaire avec le troupeau comme effet aléatoire. Le lnCCS chez les groupes S. aureus et SCN était significativement plus élevé que dans le groupe témoin de 40 à 300 jours en lait (JEL) (P < 0.0001 pour tous les contrastes). La valeur journalière du lnSCC chez les groupes S. aureus et SCN était en moyenne 1.2 et 0.6 plus élevé que le groupe témoin respectivement. Un modèle similaire a été réalisé pour la production laitière avec l’âge au vêlage, le trait génétique lié aux parents pour la production laitière et le logarithme népérien du JEL de la pesée inclus. La production laitière n’était pas statistiquement différente entre les 3 groupes de culture de 40 à 300 JEL (P ≥ 0.12). Les modèles de survie de Cox ont révélé que le risque de réforme n’était pas statistiquement différent entre le groupe S. aureus ou SCN et le groupe témoin (P ≥ 0.16). La prévention des IIM causées par SCN et S. aureus en début de lactation demeure importante étant donné leur association avec le CCS durant la lactation en cours.

Prédiction de l'attrition en date de renouvellement en assurance automobile avec processus gaussiens

Le domaine de l’assurance automobile fonctionne par cycles présentant des phases de profitabilité et d’autres de non-profitabilité. Dans les phases de non-profitabilité, les compagnies d’assurance ont généralement le réflexe d’augmenter le coût des primes afin de tenter de réduire les pertes. Par contre, de très grandes augmentations peuvent avoir pour effet de massivement faire fuir la clientèle vers les compétiteurs. Un trop haut taux d’attrition pourrait avoir un effet négatif sur la profitabilité à long terme de la compagnie. Une bonne gestion des augmentations de taux se révèle donc primordiale pour une compagnie d’assurance. Ce mémoire a pour but de construire un outil de simulation de l’allure du porte- feuille d’assurance détenu par un assureur en fonction du changement de taux proposé à chacun des assurés. Une procédure utilisant des régressions à l’aide de processus gaus- siens univariés est développée. Cette procédure offre une performance supérieure à la régression logistique, le modèle généralement utilisé pour effectuer ce genre de tâche.

La régression de Poisson multiniveau généralisée au sein d’un devis longitudinal : un exemple de modélisation du nombre d’arrestations de membres de gangs de rue à Montréal entre 2005 et 2007

Les données comptées (count data) possèdent des distributions ayant des caractéristiques particulières comme la non-normalité, l’hétérogénéité des variances ainsi qu’un nombre important de zéros. Il est donc nécessaire d’utiliser les modèles appropriés afin d’obtenir des résultats non biaisés. Ce mémoire compare quatre modèles d’analyse pouvant être utilisés pour les données comptées : le modèle de Poisson, le modèle binomial négatif, le modèle de Poisson avec inflation du zéro et le modèle binomial négatif avec inflation du zéro. À des fins de comparaisons, la prédiction de la proportion du zéro, la confirmation ou l’infirmation des différentes hypothèses ainsi que la prédiction des moyennes furent utilisées afin de déterminer l’adéquation des différents modèles. Pour ce faire, le nombre d’arrestations des membres de gangs de rue sur le territoire de Montréal fut utilisé pour la période de 2005 à 2007. L’échantillon est composé de 470 hommes, âgés de 18 à 59 ans. Au terme des analyses, le modèle le plus adéquat est le modèle binomial négatif puisque celui-ci produit des résultats significatifs, s’adapte bien aux données observées et produit une proportion de zéro très similaire à celle observée.

A STUDY ON SOFTWARE DEVELOPMENT PROJECT RISK, RISK MANAGEMENT, PROJECT OUTCOMES AND THEIR INTER-RELATIONSHIP

This research was undertaken with an objective of studying software development project risk, risk management, project outcomes and their inter-relationship in the Indian context. Validated instruments were used to measure risk, risk management and project outcome in software development projects undertaken in India. A second order factor model was developed for risk with five first order factors. Risk management was also identified as a second order construct with four first order factors. These structures were validated using confirmatory factor analysis. Variation in risk across categories of select organization / project characteristics was studied through a series of one way ANOVA tests. Regression model was developed for each of the risk factors by linking it to risk management factors and project /organization characteristics. Similarly regression models were developed for the project outcome measures linking them to risk factors. Integrated models linking risk factors, risk management factors and project outcome measures were tested through structural equation modeling. Quality of the software developed was seen to have a positive relationship with risk management and negative relationship with risk. The other outcome variables, namely time overrun and cost over run, had strong positive relationship with risk. Risk management did not have direct effect on overrun variables. Risk was seen to be acting as an intervening variable between risk management and overrun variables.

Regression models for bivariate survival data

Multivariate lifetime data arise in various forms including recurrent event data when individuals are followed to observe the sequence of occurrences of a certain type of event; correlated lifetime when an individual is followed for the occurrence of two or more types of events, or when distinct individuals have dependent event times. In most studies there are covariates such as treatments, group indicators, individual characteristics, or environmental conditions, whose relationship to lifetime is of interest. This leads to a consideration of regression models.The well known Cox proportional hazards model and its variations, using the marginal hazard functions employed for the analysis of multivariate survival data in literature are not sufficient to explain the complete dependence structure of pair of lifetimes on the covariate vector. Motivated by this, in Chapter 2, we introduced a bivariate proportional hazards model using vector hazard function of Johnson and Kotz (1975), in which the covariates under study have different effect on two components of the vector hazard function. The proposed model is useful in real life situations to study the dependence structure of pair of lifetimes on the covariate vector . The well known partial likelihood approach is used for the estimation of parameter vectors. We then introduced a bivariate proportional hazards model for gap times of recurrent events in Chapter 3. The model incorporates both marginal and joint dependence of the distribution of gap times on the covariate vector . In many fields of application, mean residual life function is considered superior concept than the hazard function. Motivated by this, in Chapter 4, we considered a new semi-parametric model, bivariate proportional mean residual life time model, to assess the relationship between mean residual life and covariates for gap time of recurrent events. The counting process approach is used for the inference procedures of the gap time of recurrent events. In many survival studies, the distribution of lifetime may depend on the distribution of censoring time. In Chapter 5, we introduced a proportional hazards model for duration times and developed inference procedures under dependent (informative) censoring. In Chapter 6, we introduced a bivariate proportional hazards model for competing risks data under right censoring. The asymptotic properties of the estimators of the parameters of different models developed in previous chapters, were studied. The proposed models were applied to various real life situations.

Networks of PhD Students and Academic Performance: A Comparison across Countries

In this article we compare regression models obtained to predict PhD students’ academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student’s research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. Academic performance was measured by the weighted number of publications. Two web questionnaires were designed, one for PhD students and one for their supervisors and other research group members. Most of the variables were easily comparable across universities due to the careful translation procedure and pre-tests. When direct comparison was not possible we created comparable indicators. We used a regression model in which the country was introduced as a dummy coded variable including all possible interaction effects. The optimal transformations of the main and interaction variables are discussed. Some differences between Slovenian and Girona universities emerge. Some variables like supervisor’s performance and motivation for autonomy prior to starting the PhD have the same positive effect on the PhD student’s performance in both countries. On the other hand, variables like too close supervision by the supervisor and having children have a negative influence in both countries. However, we find differences between countries when we observe the motivation for research prior to starting the PhD which increases performance in Slovenia but not in Girona. As regards network variables, frequency of supervisor advice increases performance in Slovenia and decreases it in Girona. The negative effect in Girona could be explained by the fact that additional contacts of the PhD student with his/her supervisor might indicate a higher workload in addition to or instead of a better advice about the dissertation. The number of external student’s advice relationships and social support mean contact intensity are not significant in Girona, but they have a negative effect in Slovenia. We might explain the negative effect of external advice relationships in Slovenia by saying that a lot of external advice may actually result from a lack of the more relevant internal advice

Factores de riesgo perinatales para sobrepeso y obesidad en escolares en una población bogotana

Objetivo: Evaluar el impacto de los factores maternos y perinatales: peso previo al embarazo, presencia de hipertensión, diabetes y tabaquismo, peso al nacer y tiempo de lactancia con el desarrollo de sobrepeso y obesidad en los niños de 5 a 10 años en una población bogotana. Materiales y métodos: se realizó un diseño de casos y controles no pareado, incluyendo 528 niños con sus respectivas madres con una relación 1:2, en quienes se identificaron los descritos, y también factores postnatales relevantes: dieta, ejercicio y tiempo de pantalla. Se analizó con un modelo de regresión logística binomial la importancia de cada uno para la patología Resultados:Se encontró una mayor prevalencia de casos en los estratos 1 y 2 comparados con los demás estratos (p= 0,034). También se encontraron diferencias en la prevalencia de sobrepeso y obesidad en las madres de los casos (27%; p =0,01), mayor ingesta calórica en el grupo de los controles (42,9% vs 30,9%; p= 0,04). En el modelo de regresión logística se encontró que los factores que en conjunto mostraron significancia estadística fueron, un peso al nacer mayor de 2500 gr OR 2,31(IC 95%:1,13-4,78 p=0,021), un IMC materno antes de la gestación > de 25 OR 3,42(IC 95%:1,42-8,29 p=0,06), peso al año mayor de 7,5 kg OR 2,77 (IC 95%:1,11-2,78 p=0,028) y una ingesta calórica entre 600 a 1900 calorías/día OR 1.58 (IC 95%:1,06-2,35 p=0,02).Conclusiones: son factores de riesgo para el desarrollo de la obesidad infantil, la progresión hacia un percentil superior en peso, antes el embarazo, nacimiento y primer año de vida.

Incidencia y factores asociados a infección en el primer año postrasplante cardiaco

Objetivo: Determinar la incidencia de las infecciones en el primer año postrasplante cardiaco y los factores asociados a las infecciones en este periodo. Materiales y métodos: Estudio analítico de casos y controles anidados en una cohorte, con los pacientes trasplantados cardiacos en la Fundación Cardioinfantil – Instituto de cardiología desde el año 2005 hasta el 2015. Se realizaron análisis univariados, análisis bivariado entre las variables del estudio y el desenlace para la selección de las variables para el modelo de regresión logística. Resultados: Se presentó una mediana de 54 años de edad en la cohorte, con mayor proporción de hombres (75,8%) y con predominio de la cardiopatía dilatada como indicación de trasplante. La incidencia de infecciones en el primer año postrasplante fue de 45% (30/66). Se encontró mayor riesgo de infección en los primeros tres meses, del 36.3% (IC 95% 23 – 55), mostrando mayor frecuencia de infecciones pulmonares y en piel. Dentro de los organismos aislados más importantes en los primeros tres meses, se encontraron bacilos gram negativos y Aspergillus spp. En el primer año postrasplante la cardiopatía dilatada con un OR 4.7 IC95% (1.3 – 17) y la enfermedad renal crónica con un OR 6.7 IC 95% (1.4 - 32) se asociaron a la presencia de infecciones. Conclusiones: La frecuencia de infecciones en los pacientes trasplantados cardiacos en la Fundación Cardioinfantil IC es similar a la observada en la literatura. La aparición de infecciones en el primer año postrasplante, se asocia a la presencia de cardiopatía dilatada y enfermedad renal crónica.

A parametric model for the interval censored survival times of Acacia mangium plantation in a spacing trial

Survival times for the Acacia mangium plantation in the Segaliud Lokan Project, Sabah, East Malaysia were analysed based on 20 permanent sample plots (PSPs) established in 1988 as a spacing experiment. The PSPs were established following a complete randomized block design with five levels of spacing randomly assigned to units within four blocks at different sites. The survival times of trees in years are of interest. Since the inventories were only conducted annually, the actual survival time for each tree was not observed. Hence, the data set comprises censored survival times. Initial analysis of the survival of the Acacia mangium plantation suggested there is block by spacing interaction; a Weibull model gives a reasonable fit to the replicate survival times within each PSP; but a standard Weibull regression model is inappropriate because the shape parameter differs between PSPs. In this paper we investigate the form of the non-constant Weibull shape parameter. Parsimonious models for the Weibull survival times have been derived using maximum likelihood methods. The factor selection for the parameters is based on a backward elimination procedure. The models are compared using likelihood ratio statistics. The results suggest that both Weibull parameters depend on spacing and block.

Knowledge communication and translation- A knowledge transfer model

Purpose – The purpose of this paper is to propose a process model for knowledge transfer in using theories relating knowledge communication and knowledge translation. Design/methodology/approach – Most of what is put forward in this paper is based on a research project titled “Procurement for innovation and knowledge transfer (ProFIK)”. The project is funded by a UK government research council – The Engineering and Physical Sciences Research Council (EPSRC). The discussions are mainly grounded on a thorough review of literature accomplished as part of the research project. Findings – The process model developed in this paper has built upon the theory of knowledge transfer and the theory of communication. Knowledge transfer, per se, is not a mere transfer of knowledge. It involves different stages of knowledge transformation. Depending on the context of knowledge transfer, it can also be influenced by many factors; some positive and some negative. The developed model of knowledge transfer attempts to encapsulate all these issues in order to create a holistic framework. Originality/value of paper – An attempt has been made in the paper to combine some of the significant theories or findings relating to knowledge transfer together, making the paper an original and valuable one.