Self-reported health status and lifestyle behaviours of the residents of the Town of Fort Erie, Ontario, as related to the Canadian Community Health Survey

The purpose of this cross sectional survey design was to examine self-reported health status and lifestyle behaviours of the residents of the Town of Fort Erie, Ontario, as related to the Canadian Community Health Survey. Using a mail-out survey, entitled the Fort Erie Survey of Health (FESH), a probability cluster sampling technique was used to measure self-reported health status (present health, health conditions, health challenges, functional health limitations) and lifestyle behaviour (smoking, alcohol use, drug use, physical activity, fruit and vegetable consumption, body weight, and gaming). Each variable was described and analyzed in relation to socio-economic variables, age and gender. The findings from this study were compared to the Canadian Community Health Survey 2000/2001. Overall, 640 surveys were completed. The majority of Fort Erie residents rated their present health as good and were satisfied with their overall health and quality of life. The main chronic conditions reported were arthritis, back pain and heart disease. Other main health problems reported were vision, sleeping and chronic pain. Overall, 14.6% smoke; 58.8% engaged in physical activity either occasionally or never as opposed to regularly engaging in physical activity; 52.1% did not eat the required daily fruits and vegetables; and 40.0% were in the overweight category. Persons who practiced one healthy lifestyle behaviour were more likely to practice other healthy promoting behaviours. Therefore, health promotion programs are best designed to address multiple risk factors simultaneously. The ffiSH was generally consistent with the Canadian Community Health Survey in the overall findings. A small number of inconsistencies were identified that require further exploration to determine if they are unique to this community.

Bio-inspired optimization & sampling technique for side-chain packing in MCCE

The prediction of proteins' conformation helps to understand their exhibited functions, allows for modeling and allows for the possible synthesis of the studied protein. Our research is focused on a sub-problem of protein folding known as side-chain packing. Its computational complexity has been proven to be NP-Hard. The motivation behind our study is to offer the scientific community a means to obtain faster conformation approximations for small to large proteins over currently available methods. As the size of proteins increases, current techniques become unusable due to the exponential nature of the problem. We investigated the capabilities of a hybrid genetic algorithm / simulated annealing technique to predict the low-energy conformational states of various sized proteins and to generate statistical distributions of the studied proteins' molecular ensemble for pKa predictions. Our algorithm produced errors to experimental results within .acceptable margins and offered considerable speed up depending on the protein and on the rotameric states' resolution used.

La vivienda como variable dependiente de un eje industrial en formación hacia nuevas ciudades [por] Cecilia Andrade Cedeño

Tesis (Maestría en Ciencias para la Planificación de Asentamientos Humanos) U.A.N.L.

El costo variable de la atención odontológica : institución docente-asistencial Monterrey, Nuevo León [por] Hortencia Rodríguez Avella

Tesis (Maestría en Salud Pública con Esp. en Odontología Social) U.A.N.L.

Fatiga de metales con cargas de amplitud variable por el método de Strain-Life [por] Javier de Jesús García Villarreal

Tesis (Maestría en Ciencias) U.A.N.L.

Administración de la compensación fija y variable por Francisco Javier Escobar Ramos

Tesis (Maestría en Ciencias de la Administración con Especialidad en Relaciones Industriales) U.A.N.L.

Aplicación del control estadístico a la variable crítica temperatura en una empresa acerera.

Tesis (Master en Administración y de Negocios con Especialidad en Producción y Calidad) UANL, 2009.

Latent Variable Models for Stochastic Discount Factors.

Latent variable models in finance originate both from asset pricing theory and time series analysis. These two strands of literature appeal to two different concepts of latent structures, which are both useful to reduce the dimension of a statistical model specified for a multivariate time series of asset prices. In the CAPM or APT beta pricing models, the dimension reduction is cross-sectional in nature, while in time-series state-space models, dimension is reduced longitudinally by assuming conditional independence between consecutive returns, given a small number of state variables. In this paper, we use the concept of Stochastic Discount Factor (SDF) or pricing kernel as a unifying principle to integrate these two concepts of latent variables. Beta pricing relations amount to characterize the factors as a basis of a vectorial space for the SDF. The coefficients of the SDF with respect to the factors are specified as deterministic functions of some state variables which summarize their dynamics. In beta pricing models, it is often said that only the factorial risk is compensated since the remaining idiosyncratic risk is diversifiable. Implicitly, this argument can be interpreted as a conditional cross-sectional factor structure, that is, a conditional independence between contemporaneous returns of a large number of assets, given a small number of factors, like in standard Factor Analysis. We provide this unifying analysis in the context of conditional equilibrium beta pricing as well as asset pricing with stochastic volatility, stochastic interest rates and other state variables. We address the general issue of econometric specifications of dynamic asset pricing models, which cover the modern literature on conditionally heteroskedastic factor models as well as equilibrium-based asset pricing models with an intertemporal specification of preferences and market fundamentals. We interpret various instantaneous causality relationships between state variables and market fundamentals as leverage effects and discuss their central role relative to the validity of standard CAPM-like stock pricing and preference-free option pricing.

Statistical Inference for Computable General Equilibrium Models with Application to a Model of the Moroccan Economy

We study the problem of measuring the uncertainty of CGE (or RBC)-type model simulations associated with parameter uncertainty. We describe two approaches for building confidence sets on model endogenous variables. The first one uses a standard Wald-type statistic. The second approach assumes that a confidence set (sampling or Bayesian) is available for the free parameters, from which confidence sets are derived by a projection technique. The latter has two advantages: first, confidence set validity is not affected by model nonlinearities; second, we can easily build simultaneous confidence intervals for an unlimited number of variables. We study conditions under which these confidence sets take the form of intervals and show they can be implemented using standard methods for solving CGE models. We present an application to a CGE model of the Moroccan economy to study the effects of policy-induced increases of transfers from Moroccan expatriates.

Harsanyi’s Social Aggregation Theorem : A Multi-Profile Approach with Variable-Population Extensions

This paper provides new versions of Harsanyi’s social aggregation theorem that are formulated in terms of prospects rather than lotteries. Strengthening an earlier result, fixed-population ex-ante utilitarianism is characterized in a multi-profile setting with fixed probabilities. In addition, we extend the social aggregation theorem to social-evaluation problems under uncertainty with a variable population and generalize our approach to uncertain alternatives, which consist of compound vectors of probability distributions and prospects.

Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments

It is well known that standard asymptotic theory is not valid or is extremely unreliable in models with identification problems or weak instruments [Dufour (1997, Econometrica), Staiger and Stock (1997, Econometrica), Wang and Zivot (1998, Econometrica), Stock and Wright (2000, Econometrica), Dufour and Jasiak (2001, International Economic Review)]. One possible way out consists here in using a variant of the Anderson-Rubin (1949, Ann. Math. Stat.) procedure. The latter, however, allows one to build exact tests and confidence sets only for the full vector of the coefficients of the endogenous explanatory variables in a structural equation, which in general does not allow for individual coefficients. This problem may in principle be overcome by using projection techniques [Dufour (1997, Econometrica), Dufour and Jasiak (2001, International Economic Review)]. AR-types are emphasized because they are robust to both weak instruments and instrument exclusion. However, these techniques can be implemented only by using costly numerical techniques. In this paper, we provide a complete analytic solution to the problem of building projection-based confidence sets from Anderson-Rubin-type confidence sets. The latter involves the geometric properties of “quadrics” and can be viewed as an extension of usual confidence intervals and ellipsoids. Only least squares techniques are required for building the confidence intervals. We also study by simulation how “conservative” projection-based confidence sets are. Finally, we illustrate the methods proposed by applying them to three different examples: the relationship between trade and growth in a cross-section of countries, returns to education, and a study of production functions in the U.S. economy.

La transformation du rôle de représentante d’aidantes familiales pendant l’hébergement de leur parent atteint de démence : une théorisation ancrée

RÉSUMÉ L‘hébergement en centre de soins de longue durée d'un parent âgé atteint de démence marque une transition pour les personnes qui occupent un rôle d’aidant familial principal. Ces personnes, principalement des femmes, poursuivent leur engagement après l’hébergement et souhaitent être impliquées dans les décisions concernant les soins offerts à leur parent. Souvent l'hébergement survient au moment où la personne âgée n'est plus en mesure, compte tenu de ses déficiences cognitives, d'exprimer clairement ses besoins; les aidantes accordent alors une place centrale au rôle de représentante de leur proche hébergé. Cette étude avait pour but d’expliquer la transformation du rôle de représentante chez des aidantes familiales dont le parent atteint de démence vit dans un centre d’hébergement et de soins de longue durée (CHSLD). La méthode qualitative de la théorisation ancrée a été retenue pour expliquer ce processus social. Les résultats obtenus reposent sur 14 entrevues en profondeur réalisées auprès de filles dont le parent atteint de démence était hébergé depuis plus de six mois dans un CHSLD. Ces aidantes ont été sélectionnées selon une procédure d’échantillonnage théorique et l’analyse des données a été réalisée à partir de la transcription intégrale des entrevues en suivant trois niveaux d'analyse, soit la codification ouverte, axiale et sélective. Une proposition théorique, générée par voie inductive, met en lumière trois processus intermédiaires interreliés expliquant la transformation du rôle de représentante pendant l’hébergement du proche : 1) l’intégration dans le milieu ; 2) l’évaluation de la qualité des soins et 3) le développement de la confiance envers le milieu d’hébergement. Plus précisément, les aidantes déploient différentes stratégies d’intégration dans le milieu d’hébergement, soit l’établissement de relations de réciprocité et d’une collaboration avec le personnel soignant, ainsi que l’utilisation d’un style de communication diplomatique. Parallèlement, elles évaluent la qualité des soins en trois étapes : jugement, pondération et action. Finalement, une relation de confiance avec les membres du personnel de l’établissement se développe en lien avec cinq facteurs spécifiques, soit les premières impressions, la comparaison avec d’autres CHSLD, l’intérêt démontré par le personnel envers le proche, le fait d’être entendue et prise au sérieux et la transparence du milieu d’hébergement. Ces trois processus contribuent au bien-être du parent hébergé et à celui de l’aidante. Le développement de la confiance étant associé aux deux autres processus intermédiaires ainsi qu’au bien-être de l’aidante, il est le processus central de la théorie contextuelle qui émerge de cette recherche. Cette étude contribue au développement des connaissances, notamment en fournissant plusieurs éléments inédits de compréhension du processus de transformation du rôle de représentante des aidantes familiales, de même que des pistes pour soutenir ces aidantes dont le parent, souffrant de démence, n’est plus en mesure de prendre des décisions. La théorie contextuelle proposée dans le cadre de cette étude constitue les prémices d’une théorie de niveau intermédiaire portant sur le rôle de représentant des aidants familiaux dans le contexte plus général du système de santé. Des études réalisées dans d’autres contextes de soins et auprès d’aidants de proches vulnérables ayant d’autres types d’affections sont ainsi recommandées.

The shunt from the cyclooxygenase to lipoxygenase pathway in human osteoarthritic subchondral osteoblasts is linked with a variable expression of the 5-lipoxygenase-activating protein

Affiliation: Unité de recherche en Arthrose, Centre de recherche du Centre Hospitalier de l'Université de Montréal, Hôpital Notre-Dame

From Smeed's Single-Damage Fixed-Form Three-Variable Model to Multinational and Multiprovincial Drag-Type Formulations: Does the Mystery of 1972-1973 Disapear ?

Rapport de recherche