Les effets de l'exercice physique sur le fonctionnement cognitif de l'enfant

À tout âge, l’exercice physique peut être bénéfique au fonctionnement cognitif. Étant quotidiennement confrontés à des situations d’apprentissage, l’enfant et l’adolescent constituent une population particulièrement susceptible de profiter de ces bienfaits. Cependant, il importe de préciser et d’étudier les facteurs qui influencent la relation entre l’exercice physique et la cognition. L’objectif général de cette thèse était d’examiner, à l’aide de mesures électrophysiologiques, les effets aigus et chroniques de l’exercice physique sur les mécanismes neurophysiologiques du fonctionnement cognitif de l’enfant. Une première étude a apprécié la durée des effets aigus de l’exercice physique. Les résultats de ces travaux suggèrent qu’une séance ponctuelle d’exercice physique augmente la vigilance pendant au moins 30 min. Toujours dans un contexte d’effets aigus de l’exercice, l’impact de la demande cognitive de la tâche et de l’âge ont été examinés dans une seconde étude. Les résultats ne révèlent aucune interaction avec l’âge, cependant ils indiquent une spécificité pour les processus plus complexes du traitement de l’information. Enfin, une troisième étude a évalué l’effet de l’exercice physique chronique dans le cadre d’un programme d’activités physiques de 12 semaines. Aucun changement n’a été observé quant à l’aptitude cardiovasculaire ou la performance cognitive suite au programme. Une condition physique initialement élevée des participants pourrait expliquer ce résultat. En résumé, peu importe la condition physique de l’enfant, un exercice physique aigu d’intensité moyenne est bénéfique à la vigilance et à certains aspects du traitement cognitif de l’information. Les effets observés semblent suffisamment durables pour avoir un impact positif sur l’apprentissage en classe après une récréation ou un cours d’éducation physique.

Demand-driven type analysis for dynamically-typed functional languages

Thèse diffusée initialement dans le cadre d'un projet pilote des Presses de l'Université de Montréal/Centre d'édition numérique UdeM (1997-2008) avec l'autorisation de l'auteur.

Ambiguity on the insurer's side: the demand for insurance

Empirical evidence suggests that ambiguity is prevalent in insurance pricing and underwriting, and that often insurers tend to exhibit more ambiguity than the insured individuals (e.g., [23]). Motivated by these findings, we consider a problem of demand for insurance indemnity schedules, where the insurer has ambiguous beliefs about the realizations of the insurable loss, whereas the insured is an expected-utility maximizer. We show that if the ambiguous beliefs of the insurer satisfy a property of compatibility with the non-ambiguous beliefs of the insured, then there exist optimal monotonic indemnity schedules. By virtue of monotonicity, no ex-post moral hazard issues arise at our solutions (e.g., [25]). In addition, in the case where the insurer is either ambiguity-seeking or ambiguity-averse, we show that the problem of determining the optimal indemnity schedule reduces to that of solving an auxiliary problem that is simpler than the original one in that it does not involve ambiguity. Finally, under additional assumptions, we give an explicit characterization of the optimal indemnity schedule for the insured, and we show how our results naturally extend the classical result of Arrow [5] on the optimality of the deductible indemnity schedule.

Ambiguity on the insurer's side: the demand for insurance

Empirical evidence suggests that ambiguity is prevalent in insurance pricing and underwriting, and that often insurers tend to exhibit more ambiguity than the insured individuals (e.g., [23]). Motivated by these findings, we consider a problem of demand for insurance indemnity schedules, where the insurer has ambiguous beliefs about the realizations of the insurable loss, whereas the insured is an expected-utility maximizer. We show that if the ambiguous beliefs of the insurer satisfy a property of compatibility with the non-ambiguous beliefs of the insured, then there exist optimal monotonic indemnity schedules. By virtue of monotonicity, no ex-post moral hazard issues arise at our solutions (e.g., [25]). In addition, in the case where the insurer is either ambiguity-seeking or ambiguity-averse, we show that the problem of determining the optimal indemnity schedule reduces to that of solving an auxiliary problem that is simpler than the original one in that it does not involve ambiguity. Finally, under additional assumptions, we give an explicit characterization of the optimal indemnity schedule for the insured, and we show how our results naturally extend the classical result of Arrow [5] on the optimality of the deductible indemnity schedule.

Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case

We analyze a finite horizon, single product, periodic review model in which pricing and production/inventory decisions are made simultaneously. Demands in different periods are random variables that are independent of each other and their distributions depend on the product price. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. Ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered. The objective is to find an inventory policy and a pricing strategy maximizing expected profit over the finite horizon. We show that when the demand model is additive, the profit-to-go functions are k-concave and hence an (s,S,p) policy is optimal. In such a policy, the period inventory is managed based on the classical (s,S) policy and price is determined based on the inventory position at the beginning of each period. For more general demand functions, i.e., multiplicative plus additive functions, we demonstrate that the profit-to-go function is not necessarily k-concave and an (s,S,p) policy is not necessarily optimal. We introduce a new concept, the symmetric k-concave functions and apply it to provide a characterization of the optimal policy.

Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: the Infinite Horizon Case

We analyze an infinite horizon, single product, periodic review model in which pricing and production/inventory decisions are made simultaneously. Demands in different periods are identically distributed random variables that are independent of each other and their distributions depend on the product price. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. Ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered. The objective is to maximize expected discounted, or expected average profit over the infinite planning horizon. We show that a stationary (s,S,p) policy is optimal for both the discounted and average profit models with general demand functions. In such a policy, the period inventory is managed based on the classical (s,S) policy and price is determined based on the inventory position at the beginning of each period.

Demand of children in Colombia : guessing or planning

El artículo analiza los determinantes de la presencia de hijos no deseados en Colombia. Se utiliza la información de la Encuesta Nacional de Demografía y Salud (ENDS, 2005), específicamente para las mujeres de 40 años o más. Dadas las características especiales de la variable que se analiza, se utilizan modelos de conteo para verificar si determinadas características socioeconómicas como la educación o el estrato económico explican la presencia de hijos no deseados. Se encuentra que la educación de la mujer y el área de residencia son determinantes significativos de los nacimientos no planeados. Además, la relación negativa entre el número de hijos no deseados y la educación de la mujer arroja implicaciones clave en materia de política social.

Determinants of demand for antenatal care in Colombia

Even though antenatal care is universally regarded as important, determinants of demand for antenatal care have not been widely studied. Evidence concerning which and how socioeconomic conditions influence whether a pregnant woman attends or not at least one antenatal consultation or how these factors affect the absences to antenatal consultations is very limited. In order to generate this evidence, a two-stage analysis was performed with data from the Demographic and Health Survey carried out by Profamilia in Colombia during 2005. The first stage was run as a logit model showing the marginal effects on the probability of attending the first visit and an ordinary least squares model was performed for the second stage. It was found that mothers living in the pacific region as well as young mothers seem to have a lower probability of attending the first visit but these factors are not related to the number of absences to antenatal consultation once the first visit has been achieved. The effect of health insurance was surprising because of the differing effects that the health insurers showed. Some familiar and personal conditions such as willingness to have the last children and number of previous children, demonstrated to be important in the determination of demand. The effect of mother’s educational attainment was proved as important whereas the father’s educational achievement was not. This paper provides some elements for policy making in order to increase the demand inducement of antenatal care, as well as stimulating research on demand for specific issues on health.

Assessing the labor supply and demand missmatch by skills in the Uruguay labor market

This article examines the mismatch between labor supply and demand for educational qualificationsin the Uruguayan labor market during 2000-2009. It attempts to measure the phenomenonof under-qualification and overqualification by occupation type based on educational requirementfor each occupation. Following the previous literature, the empirical work concentrates onthe determinants of over-education and its impact on wages.

Productivity, demand and the home market effect

The causality between international trade and industrialization is still ambiguous. We consider a model of international trade with the Home Market Effect - with differences in income and productivity between sectors and between countries - in order to identify additional channels for determining the effects of international trade on industrialization. Introducing non-homothetic preferences and differences in productivity aids in the interpretation of any apparent paradoxes within international trade, such as the commercial relations between more populated countries like China and India and large economies such as the U.S. Population size, demand composition and productivity levels constitute the three main channels for determining the effects of international trade. Interactions among these channels define the results obtained in terms of industrialization, while welfare levels are always higher in relation to autarky.

The determinants of non-compulsory education demand : an analysis from the students??? perspective

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Nature of Airline Demand

The Airline Industry • Big and Wide and Tall • Characteristics • Changes in Demand • Key Issues