931 resultados para Functional-cognitive approach
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The present study employed a cross-sectional design to test a model of coping with acculturative stress in an international student sample. Drawing from Lent’s (2004) social cognitive model of restorative well-being, several direct and mediated paths were hypothesized to predict (negatively) acculturative stress and (positively) life satisfaction. Behavioral acculturation and behavioral enculturation (Kim & Omizo, 2006) were also examined as predictors of coping with acculturative stress among international students. Using a self-report survey, participants’ ratings of acculturative stress, life satisfaction, social support, behavioral acculturation, behavioral enculturation, and coping self-efficacy were assessed. The results revealed that the variables of the model explained 16% of the variance in acculturative stress and 27% of the variance in life satisfaction. A final model, including the use of modification indices, provided good fit to the data. Findings also suggested that coping self-efficacy was a direct predictor of acculturative stress, and that behavioral acculturation and coping self-efficacy were direct predictors of students’ life satisfaction. Limitations, future research, and practical implications are discussed.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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An important feature of improving lattice gas models and classical isotherms is the incorporation of a pore size dependent capacity, which has hitherto been overlooked. In this paper, we develop a model for predicting the temperature dependent variation in capacity with pore size. The model is based on the analysis of a lattice gas model using a density functional theory approach at the close packed limit. Fluid-fluid and solid-fluid interactions are modeled by the Lennard-Jones 12-6 potential and Steele's 10-4-3, potential respectively. The capacity of methane in a slit-shaped carbon pore is calculated from the characteristic parameters of the unit cell, which are extracted by minimizing the grand potential of the unit cell. The capacities predicted by the proposed model are in good agreement with those obtained from grand canonical Monte Carlo simulation, for pores that can accommodate up to three adsorbed layers. Single particle and pair distributions exhibit characteristic features that correspond to the sequence of buckling and rhombic transitions that occur as the slit pore width is increased. The model provides a useful tool to model continuous variation in the microstructure of an adsorbed phase, namely buckling and rhombic transitions, with increasing pore width. (C) 2002 American Institute of Physics.
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Density functional theory for adsorption in carbons is adapted here to incorporate a random distribution of pore wall thickness in the solid, and it is shown that the mean pore wall thickness is intimately related to the pore size distribution characteristics. For typical carbons the pore walls are estimated to comprise only about two graphene layers, and application of the modified density functional theory approach shows that the commonly used assumption of infinitely thick walls can severely affect the results for adsorption in small pores under both supercritical and subcritical conditions. Under supercritical conditions the Henry's law coefficient is overpredicted by as much as a factor of 2, while under subcritical conditions pore wall heterogeneity appears to modify transitions in small pores into a sequence of smaller ones corresponding to pores with different wall thicknesses. The results suggest the need to improve current pore size distrubution analysis methods to allow for pore wall heterogeneity. The density functional theory is further extended here to allow for interpore adsorbate interactions, and it appears that these interaction are negligible for small molecules such as nitrogen but significant for more strongly interacting heavier molecules such as butane, for which the traditional independent pore model may not be adequate.
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OBJECTIVES: To determine characteristics associated with single and multiple fallers during postacute rehabilitation and to investigate the relationship among falls, rehabilitation outcomes, and health services use. DESIGN: Retrospective cohort study. SETTING: Geriatric postacute rehabilitation hospital. PARTICIPANTS: Patients (n = 4026) consecutively admitted over a 5-year period (2003-2007). MEASUREMENTS: All falls during hospitalization were prospectively recorded. Collected patients' characteristics included health, functional, cognitive, and affective status data. Length of stay and discharge destination were retrieved from the administrative database. RESULTS: During rehabilitation stay, 11.4% (458/4026) of patients fell once and an additional 6.3% (253/4026) fell several times. Compared with nonfallers, fallers were older and more frequently men. They were globally frailer, with lower Barthel score and more comorbidities, cognitive impairment, and depressive symptoms. In multivariate analyses, compared with 1-time fallers, multiple fallers were more likely to have lower Barthel score (adjOR: 2.45, 95% CI: 1.48-4.07; P = .001), cognitive impairment (adjOR: 1.43, 95% CI: 1.04-1.96; P = .026), and to have been admitted from a medicine ward (adjOR: 1.55, 95% CI: 1.03-2.32; P = .035). Odds of poor functional recovery and institutionalization at discharge, as well as length of stay, increased incrementally from nonfallers to 1-time and to multiple fallers. CONCLUSION: In these patients admitted to postacute rehabilitation, the proportion of fallers and multiple fallers was high. Multiple fallers were particularly at risk of poor functional recovery and increased health services use. Specific fall prevention programs targeting high-risk patients with cognitive impairment and low functional status should be developed in further studies.
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Objective: To investigate the association between fear of falling appearing within one month after discharge from post-acute rehabilitation and functional status in elderly patients. Methods: Participants (N=180, mean age 81.37.1 years, 75.6% women) were patients consecutively admitted to rehabilitation over a 6-month period. Demographics, functional, cognitive and affective status were assessed upon admission; functional status was assessed at discharge; history of falls since discharge, functional and affective status were assessed by phone one month after discharge. Fear of falling was assessed using the question: "Are you afraid of falling?". Results: Among patients without fear of falling at discharge (N=95), 20.0% (N=19) reported new fear of falling one month after discharge. Living alone (adjOR=4.9, 95%CI 1.04-23.16, P=.045), functional status at discharge (adjOR=0.5, 95%CI 0.32-0.88, P=.014), and depressive symptoms (adjOR=5.4, 95%CI 1.20-24.32, P=.028) independently predicted fear of falling at one month. There was weak evidence that history of falls since discharge (adjOR=4.1, 95%CI 0.81-21.31, P=.088) was associated with new fear of falling. Developing fear of falling was also associated with reduced functional status at one month (mean basic ADL score: fearful 5.20.8; confident: 5.80.4,P<.001). This association remained after controlling for demographics, functional status at discharge, depressive symptoms, and history of falls since discharge (coef =-0.4, 95%CI -0.73 to -0.16, P=.003). Conclusion: Fear of falling appearing within one month after discharge from post-acute rehabilitation was associated with reduced functional status in elderly patients. Further studies should determine whether early interventions targeting specifically fear of falling in these patients would improve their functional status.
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PURPOSE: Prostate cancer (PCa) diagnosis relies on clinical suspicion leading to systematic transrectal ultrasound-guided biopsy (TRUSGB). Multiparametric magnetic resonance imaging (mpMRI) allows for targeted biopsy of suspicious areas of the prostate instead of random 12-core biopsy. This method has been shown to be more accurate in detecting significant PCa. However, the precise spatial accuracy of cognitive targeting is unknown. METHODS: Consecutive patients undergoing mpMRI-targeted TRUSGB with cognitive registration (MRTB-COG) followed by robot-assisted radical prostatectomy were included in the present analysis. The regions of interest (ROIs) involved by the index lesion reported on mpMRI were subsequently targeted by two experienced urologists using the cognitive approach. The 27 ROIs were used as spatial reference. Mapping on radical prostatectomy specimen was used as reference to determine true-positive mpMRI findings. Per core correlation analysis was performed. RESULTS: Forty patients were included. Overall, 40 index lesions involving 137 ROIs (mean ROIs per index lesion 3.43) were identified on MRI. After correlating these findings with final pathology, 117 ROIs (85 %) were considered as true-positive lesions. A total of 102 biopsy cores directed toward such true-positive ROIs were available for final analysis. Cognitive targeted biopsy hit the target in 82 % of the cases (84/102). The only identified risk factor for missing the target was an anterior situated ROI (p = 0.01). CONCLUSION: In experienced hands, cognitive MRTB-COG allows for an accuracy of 82 % in hitting the correct target, given that it is a true-positive lesion. Anterior tumors are less likely to be successfully targeted.
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Département de linguistique et traduction
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But : Cette étude a comme objectif principal d’évaluer la faisabilité d’utiliser une combinaison de renforcement des muscles du plancher pelvien (MPP) et de réadaptation par la réalité virtuelle (RRV) (programme d’entraînement MPP/RRV) pour traiter l’incontinence urinaire mixte (IUM) de la femme âgée. La faisabilité est évaluée par le taux de participation et d’achèvement du programme d’entraînement MPP/RRV et du programme d’exercices à domicile. Les objectifs secondaires de cette étude sont 1) d’évaluer l’effet du programme d’entraînement MPP/RRV sur la sévérité des symptômes urinaires, sur les dimensions de la qualité de vie, sur la fonction musculaire des MPP et sur les fonctions cognitives, plus précisément le processus exécutif de coordination de deux tâches, 2) d’évaluer, suite à l’intervention, la satisfaction des participantes. Le volet qualitatif a, quant à lui, pour objectif d’identifier les facteurs ayant influencé la participation au programme d’entraînement MPP/RRV ainsi que les avantages et les inconvénients associés à l’ajout de la RRV au traitement conventionnel de renforcement des MPP. Méthode : Les participantes ont effectué deux évaluations pré-traitement (pré-1 et pré-2), ont assisté à 12 classes hebdomadaires d’entraînement MPP/RRV et ont effectué une évaluation post-traitement. Elles ont aussi complété un programme d’exercices des MPP à domicile. Finalement, suite à la dernière classe, elles ont participé à un groupe de discussion. Les évaluations pré-1 et pré-2 ont été effectuées à deux semaines d’intervalle et étaient nécessaires pour s’assurer de la stabilité des mesures en l’absence d’une intervention. Résultats : 24 femmes ont participé à l’étude. Les taux de participation aux classes d’exercices hebdomadaires et au programme d’exercices à domicile étaient de 91 % et de 92 % respectivement. Le taux d’achèvement au programme d’entraînement MPP/RRV était de 96 %. Le programme d’entraînement MPP/RRV s’est avéré efficace dans l’amélioration des symptômes urinaires, de la qualité de vie ainsi que de la capacité à coordonner deux tâches simultanées chez les femmes âgées avec de l’IUM; il tend également à améliorer la fonction musculaire du plancher pelvien de ces femmes. L’appréciation de la composante RRV, par les participantes, était de 9.8/10 et ces dernières l’ont identifiée comme un facilitateur à leur participation hebdomadaire au traitement. Conclusion : Ce projet de maîtrise a permis de démontrer qu’une combinaison de renforcement des MPP et de RRV est une approche de traitement acceptable pour les femmes âgées souffrant d’IUM puisqu’elles sont capables de suivre les exigences de ce programme d’entraînement.
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This paper reviews a program of study for language development using a cognitive approach.
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Although many examples exist for shared neural representations of self and other, it is unknown how such shared representations interact with the rest of the brain. Furthermore, do high-level inference-based shared mentalizing representations interact with lower level embodied/simulation-based shared representations? We used functional neuroimaging (fMRI) and a functional connectivity approach to assess these questions during high-level inference-based mentalizing. Shared mentalizing representations in ventromedial prefrontal cortex, posterior cingulate/precuneus, and temporo-parietal junction (TPJ) all exhibited identical functional connectivity patterns during mentalizing of both self and other. Connectivity patterns were distributed across low-level embodied neural systems such as the frontal operculum/ventral premotor cortex, the anterior insula, the primary sensorimotor cortex, and the presupplementary motor area. These results demonstrate that identical neural circuits are implementing processes involved in mentalizing of both self and other and that the nature of such processes may be the integration of low-level embodied processes within higher level inference-based mentalizing.
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Microbial degradation is a major determinant of the fate of pollutants in the environment. para-Nitrophenol (PNP) is an EPA listed priority pollutant with a wide environmental distribution, but little is known about the microorganisms that degrade it in the environment. We studied the diversity of active PNP-degrading bacterial populations in river water using a novel functional marker approach coupled with [13C6]PNP stable isotope probing (SIP). Culturing together with culture-independent terminal restriction fragment length polymorphism analysis of 16S rRNA gene amplicons identified Pseudomonas syringae to be the major driver of PNP degradation in river water microcosms. This was confirmed by SIP-pyrosequencing of amplified 16S rRNA. Similarly, functional gene analysis showed that degradation followed the Gram-negative bacterial pathway and involved pnpA from Pseudomonas spp. However, analysis of maleylacetate reductase (encoded by mar), an enzyme common to late stages of both Gram-negative and Gram-positive bacterial PNP degradation pathways, identified a diverse assemblage of bacteria associated with PNP degradation, suggesting that mar has limited use as a specific marker of PNP biodegradation. Both the pnpA and mar genes were detected in a PNP-degrading isolate, P. syringae AKHD2, which was isolated from river water. Our results suggest that PNP-degrading cultures of Pseudomonas spp. are representative of environmental PNP-degrading populations.
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This work aims at combining the Chaos theory postulates and Artificial Neural Networks classification and predictive capability, in the field of financial time series prediction. Chaos theory, provides valuable qualitative and quantitative tools to decide on the predictability of a chaotic system. Quantitative measurements based on Chaos theory, are used, to decide a-priori whether a time series, or a portion of a time series is predictable, while Chaos theory based qualitative tools are used to provide further observations and analysis on the predictability, in cases where measurements provide negative answers. Phase space reconstruction is achieved by time delay embedding resulting in multiple embedded vectors. The cognitive approach suggested, is inspired by the capability of some chartists to predict the direction of an index by looking at the price time series. Thus, in this work, the calculation of the embedding dimension and the separation, in Takens‘ embedding theorem for phase space reconstruction, is not limited to False Nearest Neighbor, Differential Entropy or other specific method, rather, this work is interested in all embedding dimensions and separations that are regarded as different ways of looking at a time series by different chartists, based on their expectations. Prior to the prediction, the embedded vectors of the phase space are classified with Fuzzy-ART, then, for each class a back propagation Neural Network is trained to predict the last element of each vector, whereas all previous elements of a vector are used as features.
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The aim of this thesis is the study of techniques for efficient management and use of the spectrum based on cognitive radio technology. The ability of cognitive radio technologies to adapt to the real-time conditions of its operating environment, offers the potential for more flexible use of the available spectrum. In this context, the international interest is particularly focused on the “white spaces” in the UHF band of digital terrestrial television. Spectrum sensing and geo-location database have been considered in order to obtain information on the electromagnetic environment. Different methodologies have been considered in order to investigate spectral resources potentially available for the white space devices in the TV band. The adopted methodologies are based on the geo-location database approach used either in autonomous operation or in combination with sensing techniques. A novel and computationally efficient methodology for the calculation of the maximum permitted white space device EIRP is then proposed. The methodology is suitable for implementation in TV white space databases. Different Italian scenarios are analyzed in order to identify both the available spectrum and the white space device emission limits. Finally two different applications of cognitive radio technology are considered. The first considered application is the emergency management. The attention is focused on the consideration of both cognitive and autonomic networking approaches when deploying an emergency management system. The cognitive technology is then considered in applications related to satellite systems. In particular a hybrid cognitive satellite-terrestrial is introduced and an analysis of coexistence between terrestrial and satellite networks by considering a cognitive approach is performed.