Étude exploratoire des transitions de milieux de vie en communauté des personnes présentant une déficience intellectuelle

Cette étude exploratoire dresse un portrait des transitions de milieux de vie (MDV) dans des Centres de réadaptation en déficience intellectuelle et en troubles envahissants du développement (CRDITED) de la grande région de Montréal. Elle permet d’identifier 1) les pratiques de transition de MDV des intervenants pivots en CRDITED, 2) les critères de succès de la transition de MDV et les moyens de les évaluer selon les personnes présentant une déficience intellectuelle et les intervenants pivots et 3) l’écart entre les pratiques souhaitées et les pratiques actuelles à partir du point de vue des deux types de participants. Des personnes présentant une déficience intellectuelle (N = 9) et des intervenants pivots (N = 19) se sont exprimés sur leurs expériences de transition de MDV en participant à des entretiens de groupe. Une analyse qualitative de contenu a permis d’identifier une typologie des expériences de transition de MDV du point de vue des intervenants pivots. Un seul type de transition de MDV parmi les cinq identifiés, le type préparée, offre des conditions favorisant la réalisation de la transition dans des conditions satisfaisantes pour les intervenants pivots. Les autres types de transitions (types dernière minute, explosive, clé en main et salle d’attente) offrent peu d’occasions pour la personne présentant une déficience intellectuelle de s’impliquer dans le processus de transition. Les propos des intervenants pivots permettent d’identifier les caractéristiques d’une transition de MDV qu’ils jugent idéale (type comme si c’était moi). Les types de transitions sont comparés entre eux sur deux axes, soit sur l’axe représentant un continuum d’implication de la personne présentant une déficience intellectuelle dans sa propre transition et sur l’axe identifiant les grandes étapes de réalisation de la transition. Les résultats permettent de déceler un écart important entre les transitions actuellement effectuées et les politiques, intentions et engagements de l’offre de service auprès de cette clientèle, notamment au regard de l’implication de la personne présentant une déficience intellectuelle dans les décisions relatives à sa transition de MDV. L’étude permet aussi d’identifier trois dimensions importantes de l’évaluation du succès de la transition selon les perspectives des personnes présentant une déficience intellectuelle et des intervenants pivots. Les dimensions identifiées sont : bien-être psychologique et comportement, santé physique et collaboration. Les propos des intervenants pivots permettent de constater qu’il existe parfois un paradoxe entre leurs perceptions du succès de la transition de MDV et celles des personnes présentant une déficience intellectuelle. L’interprétation des résultats a permis d’élaborer des recommandations afin de favoriser de meilleures pratiques de transition.

Collaborative Filtering with Data Classification : A Combined Approach to Hotel Recommendation Systems

Recommendation systems aim to help users make decisions more efficiently. The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the "cold start" problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.

O potencial energético do gradiente térmico na plataforma continental do sul do brasil

O crescimento da demanda energética, prevista para a metade do século XXI, com números embasados no crescimento demográfico e de consumo dos países em desenvol- vimento, sugere a busca por fontes energéticas renováveis e de menor impacto ao meio ambiente, conforme os tratados da política internacional. Portanto, o fornecimento de energia suplementar se torna vital nas sociedades modernas e sua extensão até o mar tem se constituído uma recente preocupação do ponto de vista enérgico e ecológico. Várias formas de conversão de energia foram desenvolvidas no decorrer dos anos, com destaque para a energia dos gradientes térmicos. A Plataforma Continental Sul do Bra- sil (PSCB) possui alta variabilidade espacial e temporal nos campos de temperatura, de forma que existe a necessidade de uma análise das regiões de maior potencial energético com respeito ao gradiente vertical de temperatura. Neste estudo, foram utilizados dados do modelo OCCAM com uma grade de resolu- ção horizontal de 0, 25o e resolução vertical de 66 níveis, distribuídos ao longo de um sistema de coordenadas vertical. Foram utilizadas imagens de temperatura superfícial do mar (TSM) obtidas a partir do sensor AVHRR (Advanced Very High Resolution Ra- diometer) de forma a realizar a validação dos dados do modelo OCCAM. A análise da média dos dados do modelo indicou um sítio energético de maior viabilidade devido oC ao padrão médio do gradiente térmico de aproximadamente 0, 17 ao longo da coluna vertical (545 m de profundidade) no oceano. Neste local, foram coletados os dados, e aplicados a um módulo de conversão de energia térmica dos oceanos que vem sendo desenvolvido na Universidade Federal do Rio Grande - FURG. A região de estudo de- monstrou possuir um local com ótimo potencial energético, onde a produção máxima de energia pode alcançar 111, 9MW , associada com um padrão variabilidade tempo- ral dominante de 12 meses. Este sítio energético demonstra maior eficiência durante o período de verão e outono ao longo dos anos e sua média para todo o período é de 94, 3MW . Neste estudo, duas correntes: Corrente do Brasil (CB) e a Contra Corrente Costeira (CCC), com águas de origem tropical e subantártica com aportes continentais, respecti- vamente, tem alta correlação com os valores dos gradientes térmicos e com os significa- tivos eventos de conversão energética. O sítio energético demonstrou alta estabilidade à sazonalidade e à gama de eventos meteorológicos e oceanográficos, de forma que pode ser qualificado como uma fonte suplementar a matriz energética do país para um futuro próximo.

Circulações locais no Rio Grande do Sul: brisas marítima/terrestre e sua interação com as brisas lacustres/terrestres

A região sul do Rio Grande do Sul está em localização favorável à formação de tipos de brisa bem caracterizados devido a sua proximidade com os sistemas lacustres e também o Oceano Atlântico. A diferença de vegetação e as temperaturas da superfície do mar, da laguna e do solo, são os principais impulsionadores das circulações locais. Uma das formas de analisar estas circulações locais é através de modelos que simulam a formação da brisa. Desta forma utilizou-se o modelo de mesoescala Weather Research and Forecasting para caracterizar as circulações locais na região sul do Brasil devido às influências do Oceano Atlântico e das lagoas presentes na região: Lagoa dos Patos, Lagoa Mangueira e Lagoa Mirim. Ao todo foram realizadas três simulações: uma para a validação do modelo e duas para simulação das brisas. O modelo apresentou correlações entre 0,7 e 0,9 para a temperatura do ar a dois metros e para a pressão atmosférica. As correlações para a umidade específica e para o vento a dez metros ficaram entre 0,3 e 0,8. Na simulação básica, a brisa lacustre apresentou intensidade máxima às 15 UTC (12 HL) sobre a Lagoa dos Patos e Mangueira e às 18 UTC (15 HL) sobre a Lagoa Mirim. Nos horários entre 0 UTC (21HL) e 9 UTC (6 HL), período em que a brisa terrestre está atuante, observou-se a rotação do vento no sentido anti-horário e também diminuição de intensidade. Para a simulação idealizada onde foi suprimido o efeito sinótico, a brisa marítima no início de sua formação sofreu um bloqueio pela brisa lacustre no horário das 15 UTC (12 HL). Esta oclusão permanece até às 18 UTC (15 HL). Após este período a brisa lacustre diminui a intensidade e dá lugar a brisa marítima que possui direção leste com intensidade menor do que a que foi observada na simulação básica. A brisa terrestre teve início às 0 UTC (21 HL) e seu valor máximo foi de 4 m/s as 9 UTC (6 HL). Para a validação do modelo concluiu-se que o mesmo é adequado para a avaliação das circulações locais. A brisa terrestre caracterizou-se melhor sem a presença do vento sinótico. As brisas Lacustres das Lagoas Mirins e dos Patos possuem influência maior do que a brisa gerada pela Lagoa Mangueira e em determinados períodos opõem-se ao avanço da brisa marítima. A associação do vento sinótico a brisa marítima intensifica a velocidade dos ventos, que por sua vez sobrepõem-se a brisa lacustre no final da tarde. A brisa terrestre formada durante a noite não é forte o suficiente para sobrepor o vento sinótico, mas reduz sua intensidade e altera sua direção.

Tensor Completion for Multidimensional Inverse Problems with Applications to Magnetic Resonance Relaxometry

This thesis deals with tensor completion for the solution of multidimensional inverse problems. We study the problem of reconstructing an approximately low rank tensor from a small number of noisy linear measurements. New recovery guarantees, numerical algorithms, non-uniform sampling strategies, and parameter selection algorithms are developed. We derive a fixed point continuation algorithm for tensor completion and prove its convergence. A restricted isometry property (RIP) based tensor recovery guarantee is proved. Probabilistic recovery guarantees are obtained for sub-Gaussian measurement operators and for measurements obtained by non-uniform sampling from a Parseval tight frame. We show how tensor completion can be used to solve multidimensional inverse problems arising in NMR relaxometry. Algorithms are developed for regularization parameter selection, including accelerated k-fold cross-validation and generalized cross-validation. These methods are validated on experimental and simulated data. We also derive condition number estimates for nonnegative least squares problems. Tensor recovery promises to significantly accelerate N-dimensional NMR relaxometry and related experiments, enabling previously impractical experiments. Our methods could also be applied to other inverse problems arising in machine learning, image processing, signal processing, computer vision, and other fields.

Espectroscopia no infravermelho e método quimiométrico para a pesquisa de antimicrobianos em leite da microrregião de Pato Branco - PR

Considering the social and economic importance that the milk has, the objective of this study was to evaluate the incidence and quantifying antimicrobial residues in the food. The samples were collected in dairy industry of southwestern Paraná state and thus they were able to cover all ten municipalities in the region of Pato Branco. The work focused on the development of appropriate models for the identification and quantification of analytes: tetracycline, sulfamethazine, sulfadimethoxine, chloramphenicol and ampicillin, all antimicrobials with health interest. For the calibration procedure and validation of the models was used the Infrared Spectroscopy Fourier Transform associated with chemometric method based on Partial Least Squares regression (PLS - Partial Least Squares). To prepare a work solution antimicrobials, the five analytes of interest were used in increasing doses, namely tetracycline from 0 to 0.60 ppm, sulfamethazine 0 to 0.12 ppm, sulfadimethoxine 0 to 2.40 ppm chloramphenicol 0 1.20 ppm and ampicillin 0 to 1.80 ppm to perform the work with the interest in multiresidues analysis. The performance of the models constructed was evaluated through the figures of merit: mean square error of calibration and cross-validation, correlation coefficients and offset performance ratio. For the purposes of applicability in this work, it is considered that the models generated for Tetracycline, Sulfadimethoxine and Chloramphenicol were considered viable, with the greatest predictive power and efficiency, then were employed to evaluate the quality of raw milk from the region of Pato Branco . Among the analyzed samples by NIR, 70% were in conformity with sanitary legislation, and 5% of these samples had concentrations below the Maximum Residue permitted, and is also satisfactory. However 30% of the sample set showed unsatisfactory results when evaluating the contamination with antimicrobials residues, which is non conformity related to the presence of antimicrobial unauthorized use or concentrations above the permitted limits. With the development of this work can be said that laboratory tests in the food area, using infrared spectroscopy with multivariate calibration was also good, fast in analysis, reduced costs and with minimum generation of laboratory waste. Thus, the alternative method proposed meets the quality concerns and desired efficiency by industrial sectors and society in general.

Desenvolvimento e aplicação de modelo de calibração multivariada para determinação de açúcares e ácidos orgânicos em bebidas comerciais utilizando espectroscopia no infravermelho

The routine analysis for quantization of organic acids and sugars are generally slow methods that involve the use and preparation of several reagents, require trained professional, the availability of special equipment and is expensive. In this context, it has been increasing investment in research whose purpose is the development of substitutive methods to reference, which are faster, cheap and simple, and infrared spectroscopy have been highlighted in this regard. The present study developed multivariate calibration models for the simultaneous and quantitative determination of ascorbic acid, citric, malic and tartaric and sugars sucrose, glucose and fructose, and soluble solids in juices and fruit nectars and classification models for ACP. We used methods of spectroscopy in the near infrared (Near Infrared, NIR) in association with the method regression of partial least squares (PLS). Were used 42 samples between juices and fruit nectars commercially available in local shops. For the construction of the models were performed with reference analysis using high-performance liquid chromatography (HPLC) and refractometry for the analysis of soluble solids. Subsequently, the acquisition of the spectra was done in triplicate, in the spectral range 12500 to 4000 cm-1. The best models were applied to the quantification of analytes in study on natural juices and juice samples produced in the Paraná Southwest Region. The juices used in the application of the models also underwent physical and chemical analysis. Validation of chromatographic methodology has shown satisfactory results, since the external calibration curve obtained R-square value (R2) above 0.98 and coefficient of variation (%CV) for intermediate precision and repeatability below 8.83%. Through the Principal Component Analysis (PCA) was possible to separate samples of juices into two major groups, grape and apple and tangerine and orange, while for nectars groups separated guava and grape, and pineapple and apple. Different validation methods, and pre-processes that were used separately and in combination, were obtained with multivariate calibration models with average forecast square error (RMSEP) and cross validation (RMSECV) errors below 1.33 and 1.53 g.100 mL-1, respectively and R2 above 0.771, except for malic acid. The physicochemical analysis enabled the characterization of drinks, including the pH working range (variation of 2.83 to 5.79) and acidity within the parameters Regulation for each flavor. Regression models have demonstrated the possibility of determining both ascorbic acids, citric, malic and tartaric with successfully, besides sucrose, glucose and fructose by means of only a spectrum, suggesting that the models are economically viable for quality control and product standardization in the fruit juice and nectars processing industry.

L'image principale de profil, symbole de l'individu connecté

Depuis le début du XXIe siècle, un type particulier d’images a envahi l’espace public constitué par Internet : il s’agit des images principales de profil, ces images que les utilisateurs de sites de réseaux sociaux choisissent pour les représenter auprès des autres individus connectés. Comme le plus souvent il s’agit d’une image du corps de celui ou celle qui s’affiche ainsi, il est intéressant de s’intéresser à cette pratique en la rattachant à des pratiques plus anciennes. Dans un premier temps, cette étude présente donc une perspective socio-historique en notant la ressemblance de la pratique de l’image principale de profil avec celle de l’autoportrait et du portrait commandé. Cela permet de remarquer plusieurs points de rupture ou d’inflexion dans l’usage de ce type d’images, mais aussi d’en dégager les usages sociaux typiques. Ensuite, l’observation d’un lieu particulier d’Internet permet de tirer les conclusions suivantes : si l’usage principal de ces images est facile à expliquer, elles servent à symboliser une présence dans des lieux non accessibles aux corps sensibles, ces images montrent toujours des éléments qui permettent de déduire une position sociale et elles sont fondamentalement identiques aux images produites avant Internet. Ensuite, l’étude de ces images montre qu’il y a un véritable continuum dans la manière de dévoiler son intimité qui permet d’affirmer que la frontière entre public et privé n’existe pas sur Internet. Finalement, ces images montrent une absence de canon quant à leur production et une multiplicité des façons de se mettre en scène qui laissent à penser qu’elles sont devenues des symboles à part entière dans la communication qui peut s’établir entre des étrangers sur Internet.

Étude exploratoire des transitions de milieux de vie en communauté des personnes présentant une déficience intellectuelle

Cette étude exploratoire dresse un portrait des transitions de milieux de vie (MDV) dans des Centres de réadaptation en déficience intellectuelle et en troubles envahissants du développement (CRDITED) de la grande région de Montréal. Elle permet d’identifier 1) les pratiques de transition de MDV des intervenants pivots en CRDITED, 2) les critères de succès de la transition de MDV et les moyens de les évaluer selon les personnes présentant une déficience intellectuelle et les intervenants pivots et 3) l’écart entre les pratiques souhaitées et les pratiques actuelles à partir du point de vue des deux types de participants. Des personnes présentant une déficience intellectuelle (N = 9) et des intervenants pivots (N = 19) se sont exprimés sur leurs expériences de transition de MDV en participant à des entretiens de groupe. Une analyse qualitative de contenu a permis d’identifier une typologie des expériences de transition de MDV du point de vue des intervenants pivots. Un seul type de transition de MDV parmi les cinq identifiés, le type préparée, offre des conditions favorisant la réalisation de la transition dans des conditions satisfaisantes pour les intervenants pivots. Les autres types de transitions (types dernière minute, explosive, clé en main et salle d’attente) offrent peu d’occasions pour la personne présentant une déficience intellectuelle de s’impliquer dans le processus de transition. Les propos des intervenants pivots permettent d’identifier les caractéristiques d’une transition de MDV qu’ils jugent idéale (type comme si c’était moi). Les types de transitions sont comparés entre eux sur deux axes, soit sur l’axe représentant un continuum d’implication de la personne présentant une déficience intellectuelle dans sa propre transition et sur l’axe identifiant les grandes étapes de réalisation de la transition. Les résultats permettent de déceler un écart important entre les transitions actuellement effectuées et les politiques, intentions et engagements de l’offre de service auprès de cette clientèle, notamment au regard de l’implication de la personne présentant une déficience intellectuelle dans les décisions relatives à sa transition de MDV. L’étude permet aussi d’identifier trois dimensions importantes de l’évaluation du succès de la transition selon les perspectives des personnes présentant une déficience intellectuelle et des intervenants pivots. Les dimensions identifiées sont : bien-être psychologique et comportement, santé physique et collaboration. Les propos des intervenants pivots permettent de constater qu’il existe parfois un paradoxe entre leurs perceptions du succès de la transition de MDV et celles des personnes présentant une déficience intellectuelle. L’interprétation des résultats a permis d’élaborer des recommandations afin de favoriser de meilleures pratiques de transition.

Agrégation des sous-éléments de qualité de l’élément de qualité « Flore autre que phytoplancton »

The Water Framework Directive uses the “One-out, all-out” (OAOO) principle in assessing water bodies (i.e. the worst status of the elements used in the assessment determines the final status of the water body). Combination of multiple parameters within a biological quality element (BQEs) can be done in different ways. This study analysed several aggregation conditions within the BQE "Flora other than phytoplankton" (intertidal macroalgae, subtidal macroalgae, eelgrass beds and opportunistic blooms) using monitoring data collected along the Channel and Atlantic coastline. Four aggregation criteria were tested on two sets of data collected between 2004 and 2014: OOAO, average, intermediate method between OOAO and average and a method taking into account an uncertainty value at the threshold "Good/Moderate." Based on available data, the intermediate method appears the most qualified method using first an averaging approach between the natural habitat elements and then applying the OAOO between this mean and the opportunistic blooms, characteristic of an eutrophic environment. Expert judment might be used to ensure in the overall interpretation of results at waterbody level and in the classification outcomes.

Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methods. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both, discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies.

Use of posterior predictive assessments to evaluate model fit in multilevel logistic regression

Assessing the fit of a model is an important final step in any statistical analysis, but this is not straightforward when complex discrete response models are used. Cross validation and posterior predictions have been suggested as methods to aid model criticism. In this paper a comparison is made between four methods of model predictive assessment in the context of a three level logistic regression model for clinical mastitis in dairy cattle; cross validation, a prediction using the full posterior predictive distribution and two “mixed” predictive methods that incorporate higher level random effects simulated from the underlying model distribution. Cross validation is considered a gold standard method but is computationally intensive and thus a comparison is made between posterior predictive assessments and cross validation. The analyses revealed that mixed prediction methods produced results close to cross validation whilst the full posterior predictive assessment gave predictions that were over-optimistic (closer to the observed disease rates) compared with cross validation. A mixed prediction method that simulated random effects from both higher levels was best at identifying the outlying level two (farm-year) units of interest. It is concluded that this mixed prediction method, simulating random effects from both higher levels, is straightforward and may be of value in model criticism of multilevel logistic regression, a technique commonly used for animal health data with a hierarchical structure.

Modelling reactive and proactive behaviour in simulation

This research investigated the simulation model behaviour of a traditional and combined discrete event as well as agent based simulation models when modelling human reactive and proactive behaviour in human centric complex systems. A departmental store was chosen as human centric complex case study where the operation system of a fitting room in WomensWear department was investigated. We have looked at ways to determine the efficiency of new management policies for the fitting room operation through simulating the reactive and proactive behaviour of staff towards customers. Once development of the simulation models and their verification had been done, we carried out a validation experiment in the form of a sensitivity analysis. Subsequently, we executed a statistical analysis where the mixed reactive and proactive behaviour experimental results were compared with some reactive experimental results from previously published works. Generally, this case study discovered that simple proactive individual behaviour could be modelled in both simulation models. In addition, we found the traditional discrete event model performed similar in the simulation model output compared to the combined discrete event and agent based simulation when modelling similar human behaviour.

Structural determination and gynecological tumor diagnosis using antibody chip captured proteins

Purpose: To identify markers for gynecological tumor diagnosis using antibody chip capture. Methods: Marker proteins, including cancer antigen 153 (CA153), CA125, and carcinoembryonic antigen (CEA), were analyzed using antibody chip capture of serum samples. Fifteen agglutinin types that specifically recognized five common glycans (fucose, sialic acid, mannose, N - acetylgalactosamine, and N-acetylglucosamine) were used to detect marker protein glycan levels. The levels of CA153, CA125, and CEA from 49 healthy control samples, 31 breast cancer samples, 24 cervical cancer samples, and 19 ovarian cancer samples were used to measure the glycan levels of these marker proteins. Results: In breast cancer samples, CA153 and CA125 were down-regulated (p < 0.01), while differences in ovarian cancer samples were not statistically significant (p > 0.01). The total accuracy was 85.1 %, with 96.8 % accuracy for breast cancer, 75 % in cervical cancer, and 78.9 % in ovarian cancer. Cross-validation analyses showed that breast cancer had 93.5 % accuracy, cervical cancer was 66.7 %, and ovarian cancer was 68.4 %, leading to 78.4 % total accuracy (58/74). Conclusions: The results indicate that better clinical diagnosis of gynecological tumors can be obtained by monitoring changes in glycan levels of serum proteins and types of proteoglycan changes.

Using dysphonic voice to characterize speaker's biometry

Phonation distortion leaves relevant marks in a speaker's biometric profile. Dysphonic voice production may be used for biometrical speaker characterization. In the present paper phonation features derived from the glottal source (GS) parameterization, after vocal tract inversion, is proposed for dysphonic voice characterization in Speaker Verification tasks. The glottal source derived parameters are matched in a forensic evaluation framework defining a distance-based metric specification. The phonation segments used in the study are derived from fillers, long vowels, and other phonation segments produced in spontaneous telephone conversations. Phonated segments from a telephonic database of 100 male Spanish native speakers are combined in a 10-fold cross-validation task to produce the set of quality measurements outlined in the paper. Shimmer, mucosal wave correlate, vocal fold cover biomechanical parameter unbalance and a subset of the GS cepstral profile produce accuracy rates as high as 99.57 for a wide threshold interval (62.08-75.04%). An Equal Error Rate of 0.64 % can be granted. The proposed metric framework is shown to behave more fairly than classical likelihood ratios in supporting the hypothesis of the defense vs that of the prosecution, thus ofering a more reliable evaluation scoring. Possible applications are Speaker Verification and Dysphonic Voice Grading.