Recension systématique et critique des études portant sur l'utilisation de la variable motivationnelle dans les inerventions auprès d'adolescent(e)s atteint(e)s d'anorexie mentale

Essai doctoral présenté à la Faculté des arts et des sciences en vue de l'obtention du grade de Doctorat (D.Psy) en psychologie option psychologie clinique.

Étude in vivo de la relation entre la structure et la fonction de la boucle variable de l'ARN de transfert de la sélénocystéine d'E. coli

La sélénocystéine est le 21e acide aminé encodé génétiquement et on la retrouve à travers les trois domaines de la vie. Elle est synthétisée sur l'ARNtSec par un processus unique. L'ARNtSec se distingue également au niveau structural. La tige acceptrice possède 8 (procaryotes) et 9 (eucaryotes) paires de bases, contrairement aux ARNt canoniques qui ont invariablement 7 paires de bases dans la tige acceptrice. De plus, la tige D a 2 paires de bases additionnelles qui remplacent les interactions tertiaires universelles 8-14, 15-48 qui sont absentes chez l'ARNtSec. D'autre part, la longueur de la boucle variable de l'ARNtSec est plus longue que la majorité des ARNt de type II. Dans ce mémoire, on se concentre sur la région de la boucle variable de l'ARNtSec . La recherche consiste à distinguer les paires de bases de la boucle variable qui sont essentielles à la biosynthèse et l’insertion de la sélénocystéine. De plus, on regarde si la paire de base additionnelle de la tige acceptrice de l'ARNtSec (procaryote) est essentielle pour l'insertion de la sélénocystéine. Pour répondre à ces questions, on a utilisé l'approche expérimentale Évolution Instantanée qui consiste au criblage in vivo d'ARNtSec fonctionnels chez E. coli. Dans ce travail, on montre que l'insertion de la sélénocystéine ne nécessite pas une spécificité de la longueur ou de la séquence de l'ARNtSec. On montre aussi que ni la longueur de la tige acceptrice ou du domaine tige acceptrice/tige T n'est essentielle pour avoir un ARNtSec fonctionnel.

L’engagement professionnel chez les nouveaux enseignants et la satisfaction des gestionnaires d’école à l’égard du travail effectué par les enseignants novices

Le monde actuel, marqué par une augmentation incessante des exigences professionnelles, requiert des enseignants une adaptation constante aux changements sociaux, culturels et économiques. Si, pour les enseignants expérimentés, l’accommodation à ces transformations est accompagnée de plusieurs défis, pour les nouveaux enseignants qui ne maîtrisent pas complètement tous les aspects de la profession, l’intégration au milieu scolaire peut être extrêmement difficile ou même insupportable, au point où certains quittent le métier. Néanmoins, à force de persévérance, un certain nombre des nouveaux enseignants franchissent les obstacles imposés par la profession. Dans leur cas, la satisfaction et l’engagement professionnel peuvent être des caractéristiques importantes qui les incitent à continuer à exercer leurs activités d’enseignement. Dans ce contexte, l’étude vise l’analyse des éléments liés à la construction de l’identité professionnelle des enseignants lors de leur insertion dans le métier, à partir des perceptions des nouveaux enseignants et de celles des gestionnaires des écoles primaires et secondaires. L’harmonie entre la perception de ces deux groupes d’acteurs scolaires peut constituer un important facteur du rendement des professionnels dans leur métier et de l’efficacité des institutions d’enseignement. Ainsi, du côté des nouveaux enseignants, l’étude examine les variables qui peuvent être liées à leur engagement professionnel et de celui des gestionnaires, elle vise à analyser les éléments qui peuvent être liés à leur satisfaction sur le travail effectué par les nouveaux enseignants. La présente étude, de type quantitatif, est constituée des analyses secondaires des données issues des enquêtes pancanadiennes auprès des directions et des enseignants d’écoles primaires et secondaires du Canada, menées en 2005 et 2006 par une équipe de professeurs de différentes universités canadiennes. Les analyses statistiques sont basées sur deux modèles théoriques : (1) l’engagement professionnel des nouveaux enseignants et (2) la satisfaction des gestionnaires sur le travail effectué par les nouveaux enseignants. Ces modèles sont examinés en suivant la théorie classique des tests (TCT) et celle des réponses aux items (TRI) afin de profiter des avantages de chacune des méthodes. Du côté de la TCT, des analyses de cheminement et des modélisations aux équations structurelles ont été effectuées pour examiner les modèles théoriques. Du côté de la TRI, des modélisations de Rasch ont été utilisées pour examiner les propriétés psychométriques des échelles utilisées par la recherche afin de vérifier si les données sont bien ajustées aux modèles et si les items se regroupent de façon logique pour expliquer les traits latents à l’étude. Les résultats mettent en évidence le rapport humain qui définit la profession enseignante. Autrement dit, pour les nouveaux enseignants, les émotions en classe, conséquence du processus d’interaction avec leurs élèves, sont le facteur majeur lié à l’engagement professionnel. Dans le même sens, la relation des nouveaux enseignants avec les divers membres de la communauté scolaire (parents des élèves, gestionnaires, personnel de l’école et autres enseignants) est un facteur-clé de la satisfaction des gestionnaires quant au travail des nouveaux enseignants. Les analyses indiquent également l’importance de la satisfaction au travail dans le modèle des nouveaux enseignants. Cette variable est un important déterminant de l’engagement professionnel et peut être associée à tous les autres éléments du modèle des nouveaux enseignants. Finalement, les résultats indiquent le besoin de construction des variables latentes avec un plus grand nombre d’items pour mieux positionner les personnes dans l’échelle de mesure. Ce résultat est plutôt important pour le modèle des gestionnaires qui indique de mauvais ajustements items-personnes.

L’impact de la rémunération variable sur l’intention de rester via l’engagement organisationnel : étude longitudinale dans le secteur des TIC.

Notre mémoire a pour objectif d’étudier l’impact différencié de la rémunération variable individuelle et collective sur l’intention de rester. De plus, nous nous intéressons au rôle de l’engagement organisationnel dans la relation entre la rémunération variable et l’intention de rester. Pour ce faire, nous avons formulé quatre hypothèses basées sur la littérature et certaines théories. La première hypothèse avance que la rémunération variable individuelle fait accroître l’intention de rester des travailleurs. La deuxième stipule que la rémunération variable collective fait accroître l’intention de rester. La troisième indique que la rémunération variable individuelle fait accroître davantage l’intention de rester que la rémunération variable collective sur l’intention de rester. Enfin, la quatrième hypothèse suggère que l’engagement organisationnel agit à titre de variable médiatrice dans la relation entre la rémunération variable et l’intention de rester. Notre étude s’appuie sur des données longitudinales colligées dans le cadre d’une enquête portant sur « les liens entre la rémunération, la formation et le développement des compétences avec l’attraction et la rétention des employés clés ». L’enquête a été réalisée auprès de nouveaux travailleurs d’une entreprise internationale du secteur des technologies de l’information et des communications (TIC) à Montréal. Les données ont été colligées en trois temps entre le 1er avril 2009 et le 30 septembre 2010. Nos résultats soutiennent qu’effectivement la rémunération variable individuelle et collective font augmenter l’intention de rester des travailleurs. De plus, nous trouvons que la rémunération variable individuelle et la rémunération variable collective ont un impact équivalent sur l’intention de rester. Enfin, bien que l’engagement organisationnel soit un prédicteur important de l’intention de rester, celui-ci n’agit pas à titre de variable médiatrice dans la relation entre la rémunération variable et l’intention de rester. Finalement, notre étude permet d’élaborer certaines pistes pour améliorer l’intention de rester des travailleurs.

AN INVESTIGATION ON AIR-SEA INTERACTION IN THE INDIAN OCEAN DURING CONTRASTING MONSOONS

The study is undertaken with an objective to investigate the linkage between air-sea fluxes in the Indian Ocean and monsoon forcing. Since the monsoon activity is linked to fluxes, the variability of surface marine meteorological fields under the variable monsoon conditions is also studied. The very objective of the present study is to document various sea surface parameters of the Indian Ocean and to examine the anomalies found in them. Hence it is attempted to relate the anomaly to the variability of monsoon over India, highlighting the occasion of contrasting monsoon periods. The analysis of anomalies of surface meteorological fields such as SST, wind speed and direction, sea level pressure and cloud cover for contrasting monsoons are also studied. During good monsoon years, the pressure anomalies are negative indicating a fall in SLP during pre-monsoon and monsoon months. The interaction of the marine atmosphere with tropical Indian Ocean and its influence on ISMR continue to be an area of active research.

Nutrient Mobility in Chalakudy River,Typified With Riparian Buffer Zone and Its Adjoining Estuary:Spatiotemporal Manifestation

This study was aimed at to characterize the spatio-temporal trends in the distributional characteristics of various species of nitrogen and phosphorus as well as to elucidate the factors and processes aflecting these nutrients in the dissolved, particulate and sedimentary phases of a river estuarine system. The main area of study is Chalakudy river in Kerala, which is a fresh water system originating from Anamalai hills and ending at Arabian Sea. Its basin is between I00 05 ’ to I00 35’ North latitude and 76” 15 ’ to 760 55’ East longitude. Being a riparian bufler zone, the dynamics of nutrient mobility tend to be more complex and variable in this river-estuarine system.The diflerent species of nitrogen estimated from the filtrate were nitrite-N, nitrateN, ammonia-N, urea-N, total nitrogen and residual nitrogen. The diflerent forms of phosphorus estimated from the filtrate were phosphate-P, total-P and residualP. Pre weighed sediments as well as particulate matter were analysed for quantijying nitrite-N, nitrate-N, ammonia-N and urea-N. Total nitrogen was estimated after digestion with potassium persulfate. Fractionation of phosphorus in sediment/particulate matter was performed by applying sequential extraction procedure. The dijferent forms of phosphorus thus estimated were loosely bound (exchangeable) P, Fe/Al bound P, polyphosphates, Ca bound P and refractory P. Sedimental total P was also measured directly by applying digestion method.The analyses carried out in this bimonthly annual survey have revealed specific information on the latent factors influencing the water quality pattern ofthe river. There was dependence among the chemical components of the river sediment and suspended matter, reflecting the water quality. A period of profound environmental change occurred and changes in various species had been noted in association with seasonal variations in the waterway, especially following enhanced river runoff during the monsoon. The results also successfully represented the distribution trend of nutrients during the rainy as well as dry season. Thus, the information gathered in this work will also be beneficial for those interested or involved in river management, conservation, regulation and policy making in regional and national levels.

Study on period search methods of variable stars: Application to ASAS and CRTS databases

Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes. The huge amount of data need lot of automated methods as well as human experts. This thesis is devoted to the data analysis on variable star’s astronomical time series data and hence belong to the inter-disciplinary topic, Astrostatistics. For an observer on earth, stars that have a change in apparent brightness over time are called variable stars. The variation in brightness may be regular (periodic), quasi periodic (semi-periodic) or irregular manner (aperiodic) and are caused by various reasons. In some cases, the variation is due to some internal thermo-nuclear processes, which are generally known as intrinsic vari- ables and in some other cases, it is due to some external processes, like eclipse or rotation, which are known as extrinsic variables. Intrinsic variables can be further grouped into pulsating variables, eruptive variables and flare stars. Extrinsic variables are grouped into eclipsing binary stars and chromospheri- cal stars. Pulsating variables can again classified into Cepheid, RR Lyrae, RV Tauri, Delta Scuti, Mira etc. The eruptive or cataclysmic variables are novae, supernovae, etc., which rarely occurs and are not periodic phenomena. Most of the other variations are periodic in nature. Variable stars can be observed through many ways such as photometry, spectrophotometry and spectroscopy. The sequence of photometric observa- xiv tions on variable stars produces time series data, which contains time, magni- tude and error. The plot between variable star’s apparent magnitude and time are known as light curve. If the time series data is folded on a period, the plot between apparent magnitude and phase is known as phased light curve. The unique shape of phased light curve is a characteristic of each type of variable star. One way to identify the type of variable star and to classify them is by visually looking at the phased light curve by an expert. For last several years, automated algorithms are used to classify a group of variable stars, with the help of computers. Research on variable stars can be divided into different stages like observa- tion, data reduction, data analysis, modeling and classification. The modeling on variable stars helps to determine the short-term and long-term behaviour and to construct theoretical models (for eg:- Wilson-Devinney model for eclips- ing binaries) and to derive stellar properties like mass, radius, luminosity, tem- perature, internal and external structure, chemical composition and evolution. The classification requires the determination of the basic parameters like pe- riod, amplitude and phase and also some other derived parameters. Out of these, period is the most important parameter since the wrong periods can lead to sparse light curves and misleading information. Time series analysis is a method of applying mathematical and statistical tests to data, to quantify the variation, understand the nature of time-varying phenomena, to gain physical understanding of the system and to predict future behavior of the system. Astronomical time series usually suffer from unevenly spaced time instants, varying error conditions and possibility of big gaps. This is due to daily varying daylight and the weather conditions for ground based observations and observations from space may suffer from the impact of cosmic ray particles. Many large scale astronomical surveys such as MACHO, OGLE, EROS, xv ROTSE, PLANET, Hipparcos, MISAO, NSVS, ASAS, Pan-STARRS, Ke- pler,ESA, Gaia, LSST, CRTS provide variable star’s time series data, even though their primary intention is not variable star observation. Center for Astrostatistics, Pennsylvania State University is established to help the astro- nomical community with the aid of statistical tools for harvesting and analysing archival data. Most of these surveys releases the data to the public for further analysis. There exist many period search algorithms through astronomical time se- ries analysis, which can be classified into parametric (assume some underlying distribution for data) and non-parametric (do not assume any statistical model like Gaussian etc.,) methods. Many of the parametric methods are based on variations of discrete Fourier transforms like Generalised Lomb-Scargle peri- odogram (GLSP) by Zechmeister(2009), Significant Spectrum (SigSpec) by Reegen(2007) etc. Non-parametric methods include Phase Dispersion Minimi- sation (PDM) by Stellingwerf(1978) and Cubic spline method by Akerlof(1994) etc. Even though most of the methods can be brought under automation, any of the method stated above could not fully recover the true periods. The wrong detection of period can be due to several reasons such as power leakage to other frequencies which is due to finite total interval, finite sampling interval and finite amount of data. Another problem is aliasing, which is due to the influence of regular sampling. Also spurious periods appear due to long gaps and power flow to harmonic frequencies is an inherent problem of Fourier methods. Hence obtaining the exact period of variable star from it’s time series data is still a difficult problem, in case of huge databases, when subjected to automation. As Matthew Templeton, AAVSO, states “Variable star data analysis is not always straightforward; large-scale, automated analysis design is non-trivial”. Derekas et al. 2007, Deb et.al. 2010 states “The processing of xvi huge amount of data in these databases is quite challenging, even when looking at seemingly small issues such as period determination and classification”. It will be beneficial for the variable star astronomical community, if basic parameters, such as period, amplitude and phase are obtained more accurately, when huge time series databases are subjected to automation. In the present thesis work, the theories of four popular period search methods are studied, the strength and weakness of these methods are evaluated by applying it on two survey databases and finally a modified form of cubic spline method is intro- duced to confirm the exact period of variable star. For the classification of new variable stars discovered and entering them in the “General Catalogue of Vari- able Stars” or other databases like “Variable Star Index“, the characteristics of the variability has to be quantified in term of variable star parameters.

Identification of Problem-based learning components and their effects on graduates' competencies

This study investigated the relationship between higher education and the requirement of the world of work with an emphasis on the effect of problem-based learning (PBL) on graduates' competencies. The implementation of full PBL method is costly (Albanese & Mitchell, 1993; Berkson, 1993; Finucane, Shannon, & McGrath, 2009). However, the implementation of PBL in a less than curriculum-wide mode is more achievable in a broader context (Albanese, 2000). This means higher education institutions implement only a few PBL components in the curriculum. Or a teacher implements a few PBL components at the courses level. For this kind of implementation there is a need to identify PBL components and their effects on particular educational outputs (Hmelo-Silver, 2004; Newman, 2003). So far, however there has been little research about this topic. The main aims of this study were: (1) to identify each of PBL components which were manifested in the development of a valid and reliable PBL implementation questionnaire and (2) to determine the effect of each identified PBL component to specific graduates' competencies. The analysis was based on quantitative data collected in the survey of medicine graduates of Gadjah Mada University, Indonesia. A total of 225 graduates responded to the survey. The result of confirmatory factor analysis (CFA) showed that all individual constructs of PBL and graduates' competencies had acceptable GOFs (Goodness-of-fit). Additionally, the values of the factor loadings (standardize loading estimates), the AVEs (average variance extracted), CRs (construct reliability), and ASVs (average shared squared variance) showed the proof of convergent and discriminant validity. All values indicated valid and reliable measurements. The investigation of the effects of PBL showed that each PBL component had specific effects on graduates' competencies. Interpersonal competencies were affected by Student-centred learning (β = .137; p < .05) and Small group components (β = .078; p < .05). Problem as stimulus affected Leadership (β = .182; p < .01). Real-world problems affected Personal and organisational competencies (β = .140; p < .01) and Interpersonal competencies (β = .114; p < .05). Teacher as facilitator affected Leadership (β = 142; p < .05). Self-directed learning affected Field-related competencies (β = .080; p < .05). These results can help higher education institution and educator to have informed choice about the implementation of PBL components. With this information higher education institutions and educators could fulfil their educational goals and in the same time meet their limited resources. This study seeks to improve prior studies' research method in four major ways: (1) by indentifying PBL components based on theory and empirical data; (2) by using latent variables in the structural equation modelling instead of using a variable as a proxy of a construct; (3) by using CFA to validate the latent structure of the measurement, thus providing better evidence of validity; and (4) by using graduate survey data which is suitable for analysing PBL effects in the frame work of the relationship between higher education and the world of work.

La atenci??n a la diversidad de nuestro alumnado como variable de disminuci??n del fracaso escolar : una propuesta pr??ctica

Se pretende paliar el absentismo y el abandono escolar prematuro y poner al alcance de todo el alumnado los elementos del curriculum de forma que, desde la integraci??n, todas y todos vivan su tiempo de escolarizaci??n como un tiempo ??til, sin desesperanza y con las perspectivas de obtener el Graduado de ESO.

Estimating Dependency Structure as a Hidden Variable

This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EMand the Minimum Spanning Tree algorithm to find the ML and MAP mixtureof trees for a variety of priors, including the Dirichlet and the MDL priors.

Estimating Dependency Structure as a Hidden Variable

This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EM and the Minimum Spanning Tree algorithm to find the ML and MAP mixture of trees for a variety of priors, including the Dirichlet and the MDL priors. We also show that the single tree classifier acts like an implicit feature selector, thus making the classification performance insensitive to irrelevant attributes. Experimental results demonstrate the excellent performance of the new model both in density estimation and in classification.

Regression analysis of compositional data when both the dependent variable and independent variable are components

It is well known that regression analyses involving compositional data need special attention because the data are not of full rank. For a regression analysis where both the dependent and independent variable are components we propose a transformation of the components emphasizing their role as dependent and independent variables. A simple linear regression can be performed on the transformed components. The regression line can be depicted in a ternary diagram facilitating the interpretation of the analysis in terms of components. An exemple with time-budgets illustrates the method and the graphical features

El proyecto como variable estructural en la enseñanza de la Expresión Plástica.

Estudiar la manera de llevar a cabo un plan para el área Artística en EEMM conforme con las orientaciones pedagógicas actuales que posibiliten una metodología activa. Alumnos de BUP de un centro público de Cáceres. Visitas, realización de dibujos y grabados de la Plaza Mayor de Cáceres. Parten del concepto de educación inspirado en las ideas de Wygotsky y sus seguidores y en la investigación antropológica. Técnica de grabado, dibujo. Elaboración del currículum, e intento de relacionar al alumno con su medio así como la representación gráfica. Utilizando la técnica del grabado, el mayor problema que tuvo que salvar el profesor fue aprovechar las ventajas del dibujo libre o de fantasía, contrastando los obstáculos e intensificando la observación. La aplicación de esta técnica dió mayor interés y profundidad a la experiencia.

Autoconcepto en ni??os con y sin dificultades de aprendizaje : relevancia de la variable edad en la relaci??n entre dificultades y niveles de autoconcepto

Resumen tomado de la publicaci??n

Complex Variable and Integrals

Exercises and solutions for a third year engineering maths course. Diagrams for the question are all together in the support.zip file, as .eps files