Évaluation des effets d’une intervention infirmière sur l'adhésion thérapeutique des personnes diabétiques de type 2 Libanais

Au Liban, le diabète est évalué à 12%, il est appelé à doubler d’ici l’an 2025. Devant cette augmentation, il est pertinent d’évaluer les effets d’une intervention éducative auprès de personnes présentant un DT2 sur leur sentiment d’auto-efficacité et leur capacité d’auto-soins afin de rendre leur adhésion thérapeutique la plus optimale possible. Le devis est expérimental avant/après 3 mois. L’adhésion a été évaluée à l’aide de l’HbA1c à <7 % et de du SDSCA pour les comportements d’auto-soins, du DMSES pour l’auto-efficacité. L’échantillon formé : 71 GE et 65 GC. Le GE s’est amélioré au niveau des comportements d’auto-soins, l’application des recommandations, du sentiment d’auto-efficacité et du taux d’HbA1c. Ainsi une éducation infirmière favorise l’adhésion chez les DT2. Cette étude a pu contribuer au développement du savoir infirmier et au renouvellement des pratiques cliniques.

Intervention dans le processus de réinsertion sociale au Québec : une étude du point de vue des agents de réinsertion sociale en collectivité

Ce mémoire a pour objectif de comprendre l’expérience de travail des agents œuvrant en réinsertion sociale auprès de condamnés provinciaux en collectivité au Québec. Plus précisément, cette recherche souhaite saisir le rôle exercé par ces agents, dans un contexte où ils exercent un double mandat de sécurité publique et de réinsertion sociale. L’étude tente aussi de mettre en lumière leurs pratiques de travail, inscrites dans une logique de gestion efficace des risques. Enfin, ce mémoire vise à comprendre la place qu’occupe la réinsertion sociale dans le cadre de leur travail. Pour ce faire, l’approche qualitative a permis de mener quinze (15) entretiens auprès d’agents de probation et d’intervenants issus du secteur communautaire responsables de la surveillance de justiciables provinciaux en collectivité. Deux (2) thèmes principaux émergent de ces entrevues. D’une part, Le travail est décrit par les participants en regard du double rôle exercé, des responsabilités légales et cliniques qui leur incombent, et de l’intervention centrée sur le risque et la réinsertion sociale auprès des contrevenants. D’autre part, Le contexte de travail réfère au partenariat établi entre les intervenants, au recours aux outils actuariels, ainsi qu’aux instances modulant leurs pratiques de travail : les médias, la Commission québécoise des libérations conditionnelles et les Services correctionnels du Québec. Il ressort de nos analyses que la sécurité publique par la gestion efficace des risques se manifeste par une forme de rationalisation des pratiques de travail et par l’intégration d’un rôle de contrôle. Il appert cependant que ces deux (2) aspects sont motivés avant tout par le désir de venir en aide à la population contrevenante. Il résulte finalement de l’étude que la réinsertion sociale ne constitue qu’un objectif de l’intervention parmi d’autres. Les participants doivent jongler avec ces diverses finalités afin de s’ajuster à l’acteur principal de leur travail : le contrevenant.

Une proposition d'intervention de pratique réflexive visant les infirmières pour l'amélioration des soins palliatifs en centre de soins de longue durée

Travail dirigé présenté à la Faculté des sciences infirmières en vue de l’obtention du grade de Maître ès sciences (M.Sc.) en sciences infirmières option formation des sciences infirmières

La relation entre l’importance accordée à la réussite scolaire par les parents et l’engagement scolaire des élèves d’origine haïtienne au primaire : l’effet modérateur de la relation maître-élève.

Le désengagement scolaire constitue un problème social important au Québec. Les difficultés qu’éprouvent certains élèves à suivre les instructions, à participer en classe et à s’investir dans leur travail scolaire peuvent, à plus long terme, influencer leur réussite scolaire et mener à l’échec ou au décrochage. Vu l’importance du rôle joué par les parents et les enseignants sur l’engagement, la présente étude a pour but d’étudier la contribution des parents et des enseignants à l’engagement comportemental des élèves d’origine haïtienne issus de l’immigration fréquentant des écoles primaires en milieux défavorisés à Montréal. Elle vise également à examiner comment la contribution de ces acteurs se combine pour favoriser l’engagement comportemental de ces élèves. Les données ont été recueillies auprès de 211 élèves de 3e à 5e année provenant d’écoles de milieux défavorisés et multiethniques sur l'île de Montréal, et de leurs enseignants. Les résultats de nos analyses de régressions montrent que la chaleur dans la relation maître-élève exerce un effet modérateur sur le lien entre l’importance accordée à la réussite scolaire et l’engagement comportemental. Ainsi, l’importance accordée à la réussite scolaire par les parents est plus importante pour l’engagement des élèves qui partagent des relations peu chaleureuses et amicales avec leur enseignant que pour leurs pairs qui ont de bonnes relations avec leur enseignant. Des pistes pour l’intervention et pour la recherche future sont présentées à la lumière de ces résultats.

A Study on Variations in Industrial Electricity Tariff & Regulatory Intervention in kerala State

Department of Applied Economics, Cochin University of Science and Technology

Development of Hierarchical Clustering Techniques for Gridded Data from Mixed Data Sequences

Knowledge discovery in databases is the non-trivial process of identifying valid, novel potentially useful and ultimately understandable patterns from data. The term Data mining refers to the process which does the exploratory analysis on the data and builds some model on the data. To infer patterns from data, data mining involves different approaches like association rule mining, classification techniques or clustering techniques. Among the many data mining techniques, clustering plays a major role, since it helps to group the related data for assessing properties and drawing conclusions. Most of the clustering algorithms act on a dataset with uniform format, since the similarity or dissimilarity between the data points is a significant factor in finding out the clusters. If a dataset consists of mixed attributes, i.e. a combination of numerical and categorical variables, a preferred approach is to convert different formats into a uniform format. The research study explores the various techniques to convert the mixed data sets to a numerical equivalent, so as to make it equipped for applying the statistical and similar algorithms. The results of clustering mixed category data after conversion to numeric data type have been demonstrated using a crime data set. The thesis also proposes an extension to the well known algorithm for handling mixed data types, to deal with data sets having only categorical data. The proposed conversion has been validated on a data set corresponding to breast cancer. Moreover, another issue with the clustering process is the visualization of output. Different geometric techniques like scatter plot, or projection plots are available, but none of the techniques display the result projecting the whole database but rather demonstrate attribute-pair wise analysis

Hierarchical Object Recognition Using Libraries of Parameterized Model Sub-Parts

This thesis describes the development of a model-based vision system that exploits hierarchies of both object structure and object scale. The focus of the research is to use these hierarchies to achieve robust recognition based on effective organization and indexing schemes for model libraries. The goal of the system is to recognize parameterized instances of non-rigid model objects contained in a large knowledge base despite the presence of noise and occlusion. Robustness is achieved by developing a system that can recognize viewed objects that are scaled or mirror-image instances of the known models or that contain components sub-parts with different relative scaling, rotation, or translation than in models. The approach taken in this thesis is to develop an object shape representation that incorporates a component sub-part hierarchy- to allow for efficient and correct indexing into an automatically generated model library as well as for relative parameterization among sub-parts, and a scale hierarchy- to allow for a general to specific recognition procedure. After analysis of the issues and inherent tradeoffs in the recognition process, a system is implemented using a representation based on significant contour curvature changes and a recognition engine based on geometric constraints of feature properties. Examples of the system's performance are given, followed by an analysis of the results. In conclusion, the system's benefits and limitations are presented.

Formal Multilevel Hierarchical Verification of Synchronous MOS Circuits

I have designed and implemented a system for the multilevel verification of synchronous MOS VLSI circuits. The system, called Silica Pithecus, accepts the schematic of an MOS circuit and a specification of the circuit's intended digital behavior. Silica Pithecus determines if the circuit meets its specification. If the circuit fails to meet its specification Silica Pithecus returns to the designer the reason for the failure. Unlike earlier verifiers which modelled primitives (e.g., transistors) as unidirectional digital devices, Silica Pithecus models primitives more realistically. Transistors are modelled as bidirectional devices of varying resistances, and nodes are modelled as capacitors. Silica Pithecus operates hierarchically, interactively, and incrementally. Major contributions of this research include a formal understanding of the relationship between different behavioral descriptions (e.g., signal, boolean, and arithmetic descriptions) of the same device, and a formalization of the relationship between the structure, behavior, and context of device. Given these formal structures my methods find sufficient conditions on the inputs of circuits which guarantee the correct operation of the circuit in the desired descriptive domain. These methods are algorithmic and complete. They also handle complex phenomena such as races and charge sharing. Informal notions such as races and hazards are shown to be derivable from the correctness conditions used by my methods.

A Hierarchical Cache Coherent Protocol

As the number of processors in distributed-memory multiprocessors grows, efficiently supporting a shared-memory programming model becomes difficult. We have designed the Protocol for Hierarchical Directories (PHD) to allow shared-memory support for systems containing massive numbers of processors. PHD eliminates bandwidth problems by using a scalable network, decreases hot-spots by not relying on a single point to distribute blocks, and uses a scalable amount of space for its directories. PHD provides a shared-memory model by synthesizing a global shared memory from the local memories of processors. PHD supports sequentially consistent read, write, and test- and-set operations. This thesis also introduces a method of describing locality for hierarchical protocols and employs this method in the derivation of an abstract model of the protocol behavior. An embedded model, based on the work of Johnson[ISCA19], describes the protocol behavior when mapped to a k-ary n-cube. The thesis uses these two models to study the average height in the hierarchy that operations reach, the longest path messages travel, the number of messages that operations generate, the inter-transaction issue time, and the protocol overhead for different locality parameters, degrees of multithreading, and machine sizes. We determine that multithreading is only useful for approximately two to four threads; any additional interleaving does not decrease the overall latency. For small machines and high locality applications, this limitation is due mainly to the length of the running threads. For large machines with medium to low locality, this limitation is due mainly to the protocol overhead being too large. Our study using the embedded model shows that in situations where the run length between references to shared memory is at least an order of magnitude longer than the time to process a single state transition in the protocol, applications exhibit good performance. If separate controllers for processing protocol requests are included, the protocol scales to 32k processor machines as long as the application exhibits hierarchical locality: at least 22% of the global references must be able to be satisfied locally; at most 35% of the global references are allowed to reach the top level of the hierarchy.

Safe Distributed Coordination of Heterogeneous Robots through Dynamic Simple Temporal Networks

Research on autonomous intelligent systems has focused on how robots can robustly carry out missions in uncertain and harsh environments with very little or no human intervention. Robotic execution languages such as RAPs, ESL, and TDL improve robustness by managing functionally redundant procedures for achieving goals. The model-based programming approach extends this by guaranteeing correctness of execution through pre-planning of non-deterministic timed threads of activities. Executing model-based programs effectively on distributed autonomous platforms requires distributing this pre-planning process. This thesis presents a distributed planner for modelbased programs whose planning and execution is distributed among agents with widely varying levels of processor power and memory resources. We make two key contributions. First, we reformulate a model-based program, which describes cooperative activities, into a hierarchical dynamic simple temporal network. This enables efficient distributed coordination of robots and supports deployment on heterogeneous robots. Second, we introduce a distributed temporal planner, called DTP, which solves hierarchical dynamic simple temporal networks with the assistance of the distributed Bellman-Ford shortest path algorithm. The implementation of DTP has been demonstrated successfully on a wide range of randomly generated examples and on a pursuer-evader challenge problem in simulation.

A Detailed Look at Scale and Translation Invariance in a Hierarchical Neural Model of Visual Object Recognition

The HMAX model has recently been proposed by Riesenhuber & Poggio as a hierarchical model of position- and size-invariant object recognition in visual cortex. It has also turned out to model successfully a number of other properties of the ventral visual stream (the visual pathway thought to be crucial for object recognition in cortex), and particularly of (view-tuned) neurons in macaque inferotemporal cortex, the brain area at the top of the ventral stream. The original modeling study only used ``paperclip'' stimuli, as in the corresponding physiology experiment, and did not explore systematically how model units' invariance properties depended on model parameters. In this study, we aimed at a deeper understanding of the inner workings of HMAX and its performance for various parameter settings and ``natural'' stimulus classes. We examined HMAX responses for different stimulus sizes and positions systematically and found a dependence of model units' responses on stimulus position for which a quantitative description is offered. Interestingly, we find that scale invariance properties of hierarchical neural models are not independent of stimulus class, as opposed to translation invariance, even though both are affine transformations within the image plane.

Hierarchical Mixtures of Experts and the EM Algorithm

We present a tree-structured architecture for supervised learning. The statistical model underlying the architecture is a hierarchical mixture model in which both the mixture coefficients and the mixture components are generalized linear models (GLIM's). Learning is treated as a maximum likelihood problem; in particular, we present an Expectation-Maximization (EM) algorithm for adjusting the parameters of the architecture. We also develop an on-line learning algorithm in which the parameters are updated incrementally. Comparative simulation results are presented in the robot dynamics domain.

Morphological awareness intervention : does severity play a role in spelling-reading improvement?

Resumen tomado de la publicaci??n