Étude descriptive des perceptions de soutien, d’habilitation et de reconnaissance favorisant la mobilisation organisationnelle au Ministère de l’éducation nationale et de l’alphabétisation du Burkina Faso

Cette thèse de doctorat se situe dans le contexte des préoccupations des autorités nationales et des organisations internationales relatives à l’efficacité des organisations publiques dans les pays en développement, dans le cadre des Objectifs du Millénaire pour le développement (OMD) et du programme Éducation pour tous (ÉPT). L’argument du manque de ressources est de plus en plus remis en cause par le constat que certaines organisations disposant de ressources moindres que d’autres de même nature, obtiennent de meilleurs résultats (Barney, 1991; Durand, 1996; Isckia, 2008). Autrement dit, la quantité de ressources n’explique pas tout; il faut considérer d’autres éléments, dont la mobilisation organisationnelle, c’est-à-dire le mouvement obtenu d’une masse critique d’employés qui adoptent des actions positives dans le sens de l’atteinte des objectifs de leur organisation. Cette mobilisation suppose un climat positif auquel contribue la présence de certains états psychologiques ressentis par les employés, notamment les perceptions de soutien et de reconnaissance de la part de l’organisation de même qu’un sentiment d’habilitation psychologique (Tremblay et Simard, 2005). Ces perceptions et ce sentiment constituent les points focaux de la recherche que nous avons menée au sein du Ministère de l’éducation nationale et de l’alphabétisation (MÉNA) du Burkina Faso. L’objectif principal de notre recherche est de décrire ces trois états psychologiques. Le soutien organisationnel perçu (SOP), l’habilitation psychologique (HP) et la reconnaissance perçue ont été explorés à partir des travaux de Eisenberger et al. (1986), de Spreitzer (1995) et de Brun et Dugas (2005) respectivement. Nous avons délibérément choisi la perspective des employés plutôt que celle des pratiques de gestion observées ou déclarées de leurs supérieurs et avons entrepris de connaître leurs perceptions. Ces dernières méritent que l’on s’en préoccupe car aucune politique, mesure ou pratique visant à instaurer un climat organisationnel mobilisant ne peut être efficace si elle n’est pas perçue comme telle par les employés. Utilisant une méthodologie mixte, nous avons recueilli auprès de cadres et de directions d’école, des données sur les trois états psychologiques retenus, à l’aide d’un questionnaire comportant 37 énoncés (65 répondants); d’entrevues individuelles visant à enrichir, compléter, expliciter ou illustrer les informations obtenues par le questionnaire (18 participants); et de deux groupes de discussion autour des résultats de l’analyse préliminaire des réponses au questionnaire (7 participants). Au total, les données ont été recueillies auprès de 73 personnes, certaines d’entre elles ayant à la fois répondu au questionnaire et participé à une entrevue individuelle. Les données ont été traitées par état psychologique à l’aide des logiciels SPSS Statistics 20 (pour les questionnaires) et QDA Miner 4.0.11 (pour les entretiens individuels). Pour chaque énoncé, chaque variable créée et chacune des caractéristiques (fonction, genre et milieu de travail), nous avons d’abord obtenu des mesures de tendances centrales; nous avons poursuivi en ajoutant un second niveau de traitement en combinant les caractéristiques, par exemple : la fonction (cadre ou direction d’école) et le genre (femme ou homme). Nous avons ensuite procédé au codage des verbatims des entretiens en vue d’en extraire des éléments qui corroborent, précisent ou nuancent les résultats de l’analyse des données obtenues par le questionnaire pour chaque état psychologique. L’exploitation des données d’entretiens visait également à identifier des éléments portant sur le thème de la mobilisation au MÉNA. Les résultats des analyses des données issues des questionnaires indiquent globalement que le soutien organisationnel est perçu de façon négative au sein du MÉNA, seule la valorisation du travail réalisé recueillant un sentiment un peu moins négatif. Les répondants se perçoivent habilités psychologiquement; des quatre composantes de l’habilitation psychologique, c’est l’autonomie qui recueille la perception la plus négative. En ce qui concerne la reconnaissance, on observe une perception positive des éléments reliés à la communication et négative lorsqu’il s’agit de l’appréciation du système d’attribution des récompenses. En complément à ces résultats obtenus de l’analyse des données issues du questionnaire, les entretiens ont permis de mettre en lumière le fait que des pratiques efficaces de gestion (par exemple la rapidité des réponses aux demandes, l’application des normes de ponctualité et d’assiduité, la réception régulière du salaire) sont considérées comme des marques de soutien organisationnel. Ces entretiens ont également permis de découvrir un fort potentiel d’implication personnelle et professionnelle des participants rencontrés qui affichaient une disposition favorable à l’augmentation de leur contribution tout en souhaitant une plus grande reconnaissance de leur potentiel. La prise en compte de la fonction, du genre et du milieu de travail a permis de raffiner les analyses. À titre d’exemple: le soutien organisationnel est perçu plus positivement en milieu urbain qu’en milieu rural; les cadres perçoivent positivement la valorisation que le ministère accorde à leur contribution; alors que les directrices d’école ont une appréciation négative de cette valorisation. Le sentiment de compétence est éprouvé de façon plus positive chez les cadres alors que le sentiment d’autonomie est plus positif chez les directions d’école. En milieu urbain, la transmission de l’information, les rencontres avec les supérieurs et les témoignages d’appréciation sont plus présents qu’en milieu rural. Dans cette recherche, qui s’est déroulée dans un contexte subsaharien, nous avons affiché un parti pris pour une approche universaliste plutôt que culturaliste. Tout en reconnaissant que les traditions et la culture font partie de l’environnement organisationnel, nous pensons qu’elles ne sont pas les principaux facteurs explicatifs des comportements des employés dans une organisation. Les propos tenus par certains des participants que nous avons rencontrés renforcent notre conviction que les pratiques de gestion généralement perçues positivement par les employés le sont également dans ce contexte.

Romantic attachment and perception of partner support to explain psychological aggression perpetrated in couples seeking couples therapy

Essai doctoral présenté à la Faculté des études supérieures en vue de l’obtention du grade de Docteur en psychologie (D.Psy.), option clinique

Non invasive classification system of scoliosis curve types using least-squares support vector machines

Objective To determine scoliosis curve types using non invasive surface acquisition, without prior knowledge from X-ray data. Methods Classification of scoliosis deformities according to curve type is used in the clinical management of scoliotic patients. In this work, we propose a robust system that can determine the scoliosis curve type from non invasive acquisition of the 3D back surface of the patients. The 3D image of the surface of the trunk is divided into patches and local geometric descriptors characterizing the back surface are computed from each patch and constitute the features. We reduce the dimensionality by using principal component analysis and retain 53 components using an overlap criterion combined with the total variance in the observed variables. In this work, a multi-class classifier is built with least-squares support vector machines (LS-SVM). The original LS-SVM formulation was modified by weighting the positive and negative samples differently and a new kernel was designed in order to achieve a robust classifier. The proposed system is validated using data from 165 patients with different scoliosis curve types. The results of our non invasive classification were compared with those obtained by an expert using X-ray images. Results The average rate of successful classification was computed using a leave-one-out cross-validation procedure. The overall accuracy of the system was 95%. As for the correct classification rates per class, we obtained 96%, 84% and 97% for the thoracic, double major and lumbar/thoracolumbar curve types, respectively. Conclusion This study shows that it is possible to find a relationship between the internal deformity and the back surface deformity in scoliosis with machine learning methods. The proposed system uses non invasive surface acquisition, which is safe for the patient as it involves no radiation. Also, the design of a specific kernel improved classification performance.

Glucoamylase immobilized on montmorillonite: influence of nature of binding on surface properties of clay-support and activity of enzyme

Glucoamylase was immobilized on acid activated montmorillonite clay via two different procedures namely adsorption and covalent binding. The immobilized enzymes were characterized by XRD, NMR and N2 adsorption measurements and the activity of immobilized glucoamylase for starch hydrolysis was determined in a batch reactor. XRD shows intercalation of enzyme into the clay matrix during both immobilization procedures. Intercalation occurs via the side chains of the amino acid residues, the entire polypeptide backbone being situated at the periphery of the clay matrix. 27Al NMR studies revealed the different nature of interaction of enzyme with the support for both immobilization techniques. N2 adsorption measurements indicated a sharp drop in surface area and pore volume for the covalently bound glucoamylase that suggested severe pore blockage. Activity studies were performed in a batch reactor. The adsorbed and covalently bound glucoamylase retained 49% and 66% activity of the free enzyme respectively. They showed enhanced pH and thermal stabilities. The immobilized enzymes also followed Michaelis–Menten kinetics. Km was greater than the free enzyme that was attributed to an effect of immobilization. The immobilized preparations demonstrated increased reusability as well as storage stability.

Acid activated montmorillonite: an efficient immobilization support for improving reusability, storage stability and operational stability of enzymes

Three enzymes, α-amylase, glucoamylase and invertase, were immobilized on acid activated montmorillonite K 10 via two independent techniques, adsorption and covalent binding. The immobilized enzymes were characterized by XRD, N2 adsorption measurements and 27Al MAS-NMR spectroscopy. The XRD patterns showed that all enzymes were intercalated into the clay inter-layer space. The entire protein backbone was situated at the periphery of the clay matrix. Intercalation occurred through the side chains of the amino acid residues. A decrease in surface area and pore volume upon immobilization supported this observation. The extent of intercalation was greater for the covalently bound systems. NMR data showed that tetrahedral Al species were involved during enzyme adsorption whereas octahedral Al was involved during covalent binding. The immobilized enzymes demonstrated enhanced storage stability. While the free enzymes lost all activity within a period of 10 days, the immobilized forms retained appreciable activity even after 30 days of storage. Reusability also improved upon immobilization. Here again, covalently bound enzymes exhibited better characteristics than their adsorbed counterparts. The immobilized enzymes could be successfully used continuously in the packed bed reactor for about 96 hours without much loss in activity. Immobilized glucoamylase demonstrated the best results.

Legal Control of Fishing Industry in Kerala

This work is a study on ‘Legal Control of Fishing Industry in Kerala.Fishery and Fishery-related legislations are sought to be examined in the light of scientific opinion and judicial decisionsThis work is divided into five Part.The thrust of time Study is on the success of legislative measures in attempting to achieve socio-economic justice for the fishermen community.Fishing is more an avocation than an industry. It is basically the avocation of the artisanal or traditional fishermen who depend on it for their livelihood. As an ‘industry’, it is a generator of employment, income and wealth.The modern tendency in national legislations is to integrate legal proivisions relating to EEZ fisheries into the general fisheries legislation.Chartered fishing was introduced by the Central Government during 1977-78 to establish the abundance and distribution of fishery resources in Indian EEZ, for transfer of technology and for related purposes.Going by the provisions of Articles 61 and 62 of the U.N. Convention on the Law of the Sea, 1982, foreign fishing need be permitted in our EEZ area only if there is any surplus left after meeting our national requirements.Conservation of the renewable fishery resources should start with identification of the species, their habitats, feeding and breeding patterns, their classification and characteristics. Fishing patterns and their impact on different species and areas require to be examined and investigated.the Central Government, that the Kerala Marine Fishing Regulation Act, 1980 was passed.our traditional fishermen that our Governments in power in Kerala resorted to the appointment of Commissions after Commissions to enquire into the problems of resource management and conservation of the resources. The implementation of the recommendations of these Commissions is the need of the times.General infrastructure has increased to a certain extent in the fishery villages; but it is more the result of the development efforts of the State rather than due to increase in earnings from fishing. Fisherwomen ar e still unable to enjoy the status and role expected of them in the society and the family.Around 120 million people around the tuorld are economically dependent on fisheries. In developing countries like India, small-scale fishers are also the primary suppliers of fish, particularly for local consumption. A most important role of the fisheries sector is as a source of domestically produced food. Fish, as a food item, is a nutrient and it has great medicinal value.Consumers in our country face a dramatic rise in fish prices as our ‘fishing industry’ is linked with lucrative markets in industrial countries. Autonomy of States should be attempted to be maintained to the extent possible with the help and co-operation of the Centre. Regional co-operation of the coastal states interse and with the Centre should be attempted to be achieved under the leadership of the Centre in matters of regional concern. At time national level, a ifisheries management policy and plan should be framed in conformity with the national economic policies and plans as also keeping pace with the local and regional needs and priorities. Any such policy, plan and legislation should strive to achieve sustainability of the resources as well as support to the subsistence sector.

Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier

This paper presents the application of wavelet processing in the domain of handwritten character recognition. To attain high recognition rate, robust feature extractors and powerful classifiers that are invariant to degree of variability of human writing are needed. The proposed scheme consists of two stages: a feature extraction stage, which is based on Haar wavelet transform and a classification stage that uses support vector machine classifier. Experimental results show that the proposed method is effective

Using Neural Network Classifier Support Vector Machine Regression for the prediction of Melting Point of Drug – like compounds

In our study we use a kernel based classification technique, Support Vector Machine Regression for predicting the Melting Point of Drug – like compounds in terms of Topological Descriptors, Topological Charge Indices, Connectivity Indices and 2D Auto Correlations. The Machine Learning model was designed, trained and tested using a dataset of 100 compounds and it was found that an SVMReg model with RBF Kernel could predict the Melting Point with a mean absolute error 15.5854 and Root Mean Squared Error 19.7576

Impact of process parameters on L-glutaminase production by marine Vibrio costicola in solid state fermentation using polystyrene as an inert support

Process parameters influencing e-glutaminase production by marine Vibrio costicola in solid state fermentation (SSF) using polystyrene as an inert support were optimised. Maximal enzyme yield (157 U/g dry substrate) was obtained at 2% (w/w) t:glutamine, 35°C and pH 7.0 after 24 h. Maltose and potassium dihydrogen phosphate at 1% (w/w) concentration enhanced enzyme yield by 23 and 18%, respectively, while nitrogen sources had an inhibitory effect. Leachate with high specific activity for glutaminase (4.2 U/mg protein) and low viscosity (0-966 Ns/m 2) was recovered from the polystyrene SSF system

Assessing the users’ need for a spatial decision support system of smallholder farming in Kenya

Accurate data of the natural conditions and agricultural systems with a good spatial resolution are a key factor to tackle food insecurity in developing countries. A broad variety of approaches exists to achieve precise data and information about agriculture. One system, especially developed for smallholder agriculture in East Africa, is the Farm Management Handbook of Kenya. It was first published in 1982/83 and fully revised in 2012, now containing 7 volumes. The handbooks contain detailed information on climate, soils, suitable crops and soil care based on scientific research results of the last 30 years. The density of facts leads to time consuming extraction of all necessary information. In this study we analyse the user needs and necessary components of a system for decision support for smallholder farming in Kenya based on a geographical information system (GIS). Required data sources were identified, as well as essential functions of the system. We analysed the results of our survey conducted in 2012 and early 2013 among agricultural officers. The monitoring of user needs and the problem of non-adaptability of an agricultural information system on the level of extension officers in Kenya are the central objectives. The outcomes of the survey suggest the establishment of a decision support tool based on already available open source GIS components. The system should include functionalities to show general information for a specific location and should provide precise recommendations about suitable crops and management options to support agricultural guidance on farm level.

Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers

The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special cases. In the RBF case, the SV algorithm automatically determines centers, weights and threshold such as to minimize an upper bound on the expected test error. The present study is devoted to an experimental comparison of these machines with a classical approach, where the centers are determined by $k$--means clustering and the weights are found using error backpropagation. We consider three machines, namely a classical RBF machine, an SV machine with Gaussian kernel, and a hybrid system with the centers determined by the SV method and the weights trained by error backpropagation. Our results show that on the US postal service database of handwritten digits, the SV machine achieves the highest test accuracy, followed by the hybrid approach. The SV approach is thus not only theoretically well--founded, but also superior in a practical application.

Improving Multiclass Text Classification with the Support Vector Machine

We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive Bayes. We present full multiclass results on two well-known text data sets, including the lowest error to date on both data sets. We develop a new indicator of binary performance to show that the SVM's lower multiclass error is a result of its improved binary performance. Furthermore, we demonstrate and explore the surprising result that one-vs-all classification performs favorably compared to other approaches even though it has no error-correcting properties.

Properties of Support Vector Machines

Support Vector Machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed Support Vectors (SV). This surface, which in some feature space of possibly infinite dimension can be regarded as a hyperplane, is obtained from the solution of a problem of quadratic programming that depends on a regularization parameter. In this paper we study some mathematical properties of support vectors and show that the decision surface can be written as the sum of two orthogonal terms, the first depending only on the margin vectors (which are SVs lying on the margin), the second proportional to the regularization parameter. For almost all values of the parameter, this enables us to predict how the decision surface varies for small parameter changes. In the special but important case of feature space of finite dimension m, we also show that there are at most m+1 margin vectors and observe that m+1 SVs are usually sufficient to fully determine the decision surface. For relatively small m this latter result leads to a consistent reduction of the SV number.