951 resultados para Total variation diminishing
Resumo:
Removing noise from signals which are piecewise constant (PWC) is a challenging signal processing problem that arises in many practical scientific and engineering contexts. In the first paper (part I) of this series of two, we presented background theory building on results from the image processing community to show that the majority of these algorithms, and more proposed in the wider literature, are each associated with a special case of a generalized functional, that, when minimized, solves the PWC denoising problem. It shows how the minimizer can be obtained by a range of computational solver algorithms. In this second paper (part II), using this understanding developed in part I, we introduce several novel PWC denoising methods, which, for example, combine the global behaviour of mean shift clustering with the local smoothing of total variation diffusion, and show example solver algorithms for these new methods. Comparisons between these methods are performed on synthetic and real signals, revealing that our new methods have a useful role to play. Finally, overlaps between the generalized methods of these two papers and others such as wavelet shrinkage, hidden Markov models, and piecewise smooth filtering are touched on.
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We analyzed the effect of periodic drying in the Florida Everglades on spatiotemporal population genetic structure of eastern mosquitofish (Gambusia holbrooki). Severe periodic drying events force individuals from disparate sources to mix in dry season relatively deep-water refuges. In 1996 (a wet year) and 1999 (a dry year), we sampled mosquitofish at 20 dry-season refuges distributed in 3 water management regions and characterized genetic variation for 10 allozyme and 3 microsatellite loci. In 1996, most of the ecosystem did not dry, whereas in 1999, many of our sampling locations were isolated by expanses of dried marsh surface. In 1996, most spatial genetic variation was attributed to heterogeneity within regions. In 1999, spatial genetic variation within regions was not significant. In both years, a small but significant amount of variation (less than 1% of the total variation) was partitioned among regions. Variance was consistently greater than zero among long-hydroperiod sites within a region, but not among short-hydroperiod sites within a region, where hydroperiod was measured as time since last marsh surface dry-down forcing fishes into local refuges. In 1996, all sites were in Hardy–Weinberg equilibrium. In 1999, we observed fewer heterozygotes than expected for most loci and sites suggesting a Wahlund effect arising from fish leaving areas that dried and mixing in deep-water refuges.
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Au cours des dernières décennies, l’effort sur les applications de capteurs infrarouges a largement progressé dans le monde. Mais, une certaine difficulté demeure, en ce qui concerne le fait que les objets ne sont pas assez clairs ou ne peuvent pas toujours être distingués facilement dans l’image obtenue pour la scène observée. L’amélioration de l’image infrarouge a joué un rôle important dans le développement de technologies de la vision infrarouge de l’ordinateur, le traitement de l’image et les essais non destructifs, etc. Cette thèse traite de la question des techniques d’amélioration de l’image infrarouge en deux aspects, y compris le traitement d’une seule image infrarouge dans le domaine hybride espacefréquence, et la fusion d’images infrarouges et visibles employant la technique du nonsubsampled Contourlet transformer (NSCT). La fusion d’images peut être considérée comme étant la poursuite de l’exploration du modèle d’amélioration de l’image unique infrarouge, alors qu’il combine les images infrarouges et visibles en une seule image pour représenter et améliorer toutes les informations utiles et les caractéristiques des images sources, car une seule image ne pouvait contenir tous les renseignements pertinents ou disponibles en raison de restrictions découlant de tout capteur unique de l’imagerie. Nous examinons et faisons une enquête concernant le développement de techniques d’amélioration d’images infrarouges, et ensuite nous nous consacrons à l’amélioration de l’image unique infrarouge, et nous proposons un schéma d’amélioration de domaine hybride avec une méthode d’évaluation floue de seuil amélioré, qui permet d’obtenir une qualité d’image supérieure et améliore la perception visuelle humaine. Les techniques de fusion d’images infrarouges et visibles sont établies à l’aide de la mise en oeuvre d’une mise en registre précise des images sources acquises par différents capteurs. L’algorithme SURF-RANSAC est appliqué pour la mise en registre tout au long des travaux de recherche, ce qui conduit à des images mises en registre de façon très précise et des bénéfices accrus pour le traitement de fusion. Pour les questions de fusion d’images infrarouges et visibles, une série d’approches avancées et efficaces sont proposés. Une méthode standard de fusion à base de NSCT multi-canal est présente comme référence pour les approches de fusion proposées suivantes. Une approche conjointe de fusion, impliquant l’Adaptive-Gaussian NSCT et la transformée en ondelettes (Wavelet Transform, WT) est propose, ce qui conduit à des résultats de fusion qui sont meilleurs que ceux obtenus avec les méthodes non-adaptatives générales. Une approche de fusion basée sur le NSCT employant la détection comprime (CS, compressed sensing) et de la variation totale (TV) à des coefficients d’échantillons clairsemés et effectuant la reconstruction de coefficients fusionnés de façon précise est proposée, qui obtient de bien meilleurs résultats de fusion par le biais d’une pré-amélioration de l’image infrarouge et en diminuant les informations redondantes des coefficients de fusion. Une procédure de fusion basée sur le NSCT utilisant une technique de détection rapide de rétrécissement itératif comprimé (fast iterative-shrinking compressed sensing, FISCS) est proposée pour compresser les coefficients décomposés et reconstruire les coefficients fusionnés dans le processus de fusion, qui conduit à de meilleurs résultats plus rapidement et d’une manière efficace.
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This paper aims to verify the Burnout´s possibilities of incidence, finding the creating dimensions and comparing with the socio-demographics characteristics of the researched professionals. This quantitative-descriptive search has a population of 197 workers of 23 nourishing companies in Rio Grande do Norte. This population is predominantly male, younger than 28 years old, single, relatively instructed (57,07% with complete high school) and having just started their current job since 79% of the interviewees are in the company less than six years. The AUDITORIA DO SISTEMA HUMANO (ASH) model, utilized for investigation and developed for the Spaniards Quijano and Navarro in 1999, has several dimensions about human resources management and the organizational effectiveness, but only makes part of the research in 19 questions Burnout referring. It was used factorial analyses with extraction method, varimax rotation and Kaiser normalization with the intuition to define the creating dimensions of the syndrome, they were evaluated with Cronbach Alpha coefficient after extraction. The dimensions found through the factorial analyses were: emotional exhaustion, physical exhaustion and vitality. The accumulated explanation value reached 65,30% of total variation. The data socio-demographics don t justify the syndrome appearance, because the T test and ANOVA showed irrelevant values. It has been also observed that the founded dimensions were different of the Maslach sociopsychological perspective (emotional exhaustion, depersonalization and low professional realization) allowing comparison with others researches and the possibility to develop new ones with workers from different assistance areas. These new researches are important, since the syndrome refers to chronic labor stress consequences and any professional is favorable to Burnout, harmful to the company as to the collaborators
Resumo:
Os principais objetivos do presente estudo são analisar a prevalência da sonolência diurna excessiva (SDE) em estudantes do Ensino Superior (ES), bem como os seus níveis de otimismo. Participaram no presente estudo 162 estudantes universitários de várias faculdades de ES privado, de ambos os sexos, com idades compreendidas entre os 17 e os 46 anos (M=20,49; DP=5,153) e que frequentavam diferentes cursos (Psicologia, Ciências da Comunicação, Análises Clínicas, Ciências Farmacêuticas e Fisioterapia). O protocolo de recolha de dados foi constituído por um questionário sociodemográfico, dois itens do Questionário do Estado de Saúde (SF-36), a Escala de Sonolência de Epworth (ESE) e a Escala de Orientação para a Vida (LOT-R). A ESE apresentou um valor de alfa de Cronbach de α=0,68 e o LOT-R um valor de alfa de Cronbach de α=0,84. Os principais resultados descritivos mostram uma pontuação média na ESE de 8,98 (DP=3,85), que corresponde a uma prevalência de 32,1% (n=52) de SDE. A pontuação média obtida com a LOT-R foi de 14,3 (DP=4,77), que corresponde a 65,4% (n=106) de estudantes otimistas. Foram encontradas correlações estatisticamente significativas entre a idade e a SDE, mas não entre a SDE e as variáveis de perceção de saúde. Os resultados diferenciais não apresentaram significância estatística na SDE, quando o sexo, o curso e a situação de residência foram tidos em consideração. A idade foi assumida, nas análises de regressão linear, como variável preditora explicativa de 3% da variância dos resultados da ESE. Relativamente ao otimismo, este mostrou-se correlacionado com a perceção do estado de saúde no momento, mas não com a SDE, idade e transição de saúde. Não foi encontrada significância estatística no otimismo quando o sexo, o curso e a situação de residência foram considerados. As análises de regressão linear identificaram como modelo preditor explicativo de cerca de 12% da variação total do LOT-R o modelo que integra a idade e a perceção do estado de saúde no momento. Estudos posteriores devem ser realizados para se aferir a prevalência de SDE e caraterizar o otimismo em estudantes universitários, bem como a relação entre ambos e com outras variáveis relevantes, de foma a apoiar, adequadamente a intervenção.
Resumo:
This paper aims to verify the Burnout´s possibilities of incidence, finding the creating dimensions and comparing with the socio-demographics characteristics of the researched professionals. This quantitative-descriptive search has a population of 197 workers of 23 nourishing companies in Rio Grande do Norte. This population is predominantly male, younger than 28 years old, single, relatively instructed (57,07% with complete high school) and having just started their current job since 79% of the interviewees are in the company less than six years. The AUDITORIA DO SISTEMA HUMANO (ASH) model, utilized for investigation and developed for the Spaniards Quijano and Navarro in 1999, has several dimensions about human resources management and the organizational effectiveness, but only makes part of the research in 19 questions Burnout referring. It was used factorial analyses with extraction method, varimax rotation and Kaiser normalization with the intuition to define the creating dimensions of the syndrome, they were evaluated with Cronbach Alpha coefficient after extraction. The dimensions found through the factorial analyses were: emotional exhaustion, physical exhaustion and vitality. The accumulated explanation value reached 65,30% of total variation. The data socio-demographics don t justify the syndrome appearance, because the T test and ANOVA showed irrelevant values. It has been also observed that the founded dimensions were different of the Maslach sociopsychological perspective (emotional exhaustion, depersonalization and low professional realization) allowing comparison with others researches and the possibility to develop new ones with workers from different assistance areas. These new researches are important, since the syndrome refers to chronic labor stress consequences and any professional is favorable to Burnout, harmful to the company as to the collaborators
Resumo:
Nanotechnology has revolutionised humanity's capability in building microscopic systems by manipulating materials on a molecular and atomic scale. Nan-osystems are becoming increasingly smaller and more complex from the chemical perspective which increases the demand for microscopic characterisation techniques. Among others, transmission electron microscopy (TEM) is an indispensable tool that is increasingly used to study the structures of nanosystems down to the molecular and atomic scale. However, despite the effectivity of this tool, it can only provide 2-dimensional projection (shadow) images of the 3D structure, leaving the 3-dimensional information hidden which can lead to incomplete or erroneous characterization. One very promising inspection method is Electron Tomography (ET), which is rapidly becoming an important tool to explore the 3D nano-world. ET provides (sub-)nanometer resolution in all three dimensions of the sample under investigation. However, the fidelity of the ET tomogram that is achieved by current ET reconstruction procedures remains a major challenge. This thesis addresses the assessment and advancement of electron tomographic methods to enable high-fidelity three-dimensional investigations. A quality assessment investigation was conducted to provide a quality quantitative analysis of the main established ET reconstruction algorithms and to study the influence of the experimental conditions on the quality of the reconstructed ET tomogram. Regular shaped nanoparticles were used as a ground-truth for this study. It is concluded that the fidelity of the post-reconstruction quantitative analysis and segmentation is limited, mainly by the fidelity of the reconstructed ET tomogram. This motivates the development of an improved tomographic reconstruction process. In this thesis, a novel ET method was proposed, named dictionary learning electron tomography (DLET). DLET is based on the recent mathematical theorem of compressed sensing (CS) which employs the sparsity of ET tomograms to enable accurate reconstruction from undersampled (S)TEM tilt series. DLET learns the sparsifying transform (dictionary) in an adaptive way and reconstructs the tomogram simultaneously from highly undersampled tilt series. In this method, the sparsity is applied on overlapping image patches favouring local structures. Furthermore, the dictionary is adapted to the specific tomogram instance, thereby favouring better sparsity and consequently higher quality reconstructions. The reconstruction algorithm is based on an alternating procedure that learns the sparsifying dictionary and employs it to remove artifacts and noise in one step, and then restores the tomogram data in the other step. Simulation and real ET experiments of several morphologies are performed with a variety of setups. Reconstruction results validate its efficiency in both noiseless and noisy cases and show that it yields an improved reconstruction quality with fast convergence. The proposed method enables the recovery of high-fidelity information without the need to worry about what sparsifying transform to select or whether the images used strictly follow the pre-conditions of a certain transform (e.g. strictly piecewise constant for Total Variation minimisation). This can also avoid artifacts that can be introduced by specific sparsifying transforms (e.g. the staircase artifacts the may result when using Total Variation minimisation). Moreover, this thesis shows how reliable elementally sensitive tomography using EELS is possible with the aid of both appropriate use of Dual electron energy loss spectroscopy (DualEELS) and the DLET compressed sensing algorithm to make the best use of the limited data volume and signal to noise inherent in core-loss electron energy loss spectroscopy (EELS) from nanoparticles of an industrially important material. Taken together, the results presented in this thesis demonstrates how high-fidelity ET reconstructions can be achieved using a compressed sensing approach.
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Abstract Background: Providing nursing care involves an interpersonal relationship between the nurse and the patient which is created through communication. The importance of clinical communication skills is a current priority when it comes to health care workers’ education and training and has been attracting more and more attention. As a consequence clinical communication skills are now present in more and more academic programmes. Objectives: To assess nurses’ clinical communication skills; to identify the variables that might inluence the clinical communication skills; to analyse nurses’ perspective regarding the training in the clinical communication ield. Material and methods: Quantitative, non-experimental, descriptive and correlational and crosssectional study. We used the questionnaire to collect socio-demographic and professional data, and the Clinical Communication Skills Scale based on the Kalamazoo Consensus Statement (KCS)1,2 and which had already been used in Portugal.3 The sample was formed by 275 practitioner nurses who have been working in health care institutions located in the center of Portugal. Results: The Scale we used presents 5 factors that explain 64.33% of the total variation: To in‑ volve the patient; To facilitate dialogue; To understand concerns; To communicate in an asser‑ tive way; To carry out the interview. The majority of the nurses consider that the training they had in the communication skills ield during their nursing course was good or very good, however we could see that 23.3% think it was mediocre. Almost all of them (98.9%) agree that there should be a better and more speciic training in the ield of clinical communication skills as far, as nurses as concerned. Nurses who had training in this area, older nurses, those who work directly with patients and those who have been working for a longer period of time show better communication skills. Conclusion: Although they think that the training they has was good, we could conirm that there was a deicit in nurses’ clinical communication skills and that nurses themselves refer they need more training in this area. Data point out to a more signiicant investment in clinical communication as far as nurses’ training is concerned and they suggest the promotion of lifelong learning opportunities in this area.
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Este tutorial pretende apresentar, de forma sumária: 1) a importância dos estudos gemelares em Educação Física e Ciências do Desporto; 2) a estrutura básica deste tipo de delineamento; 3) as etapas da análise descritiva inicial; 4) os procedimentos de análise em grau crescente de complexidade - da análise de variância, à modelação de estruturas de covariância; 5) bem como a relevância da exploração da disocordância intrapar de gêmeos monozigóticos. Esta processologia, baseada num tutorial, recorrerá aos valores do fenótipo índice de atividade física nos tempos de lazer, com base numa amostra de 207 pares de gêmeos mono e dizigóticos. Todas as etapas da análise são comentadas e será interpretado o signifi cado dos resultados, salientando o fato do fenótipo em causa ser explicado pelos fatores genéticos em cerca de 63%.
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Background Total hip arthroplasty carried out using cemented modular-neck implants provides the surgeon with greater intra-operative flexibility and allows more controlled stem positioning. Methods In this study, finite element models of a whole femur implanted with either the Exeter or with a new cemented modular-neck total hip arthroplasty (separate, neck and stem components) were developed. The changes in bone and cement mantle stress/strain were assessed for varying amounts of neck offset and version angle for the modular-neck device for two simulated physiological load cases: walking and stair climbing. Since the Exeter is the gold standard for polished cemented total hip arthroplasty stem design, bone and cement mantle stresses/strains in the modular-neck finite element models were compared with finite element results for the Exeter. Findings For the two physiological load cases, stresses and strains in the bone and cement mantle were similar for all modular-neck geometries. These results were comparable to the bone and cement mechanics surrounding the Exeter. These findings suggest that the Exeter and the modular neck device distribute stress to the surrounding bone and cement in a similar manner. Interpretation It is anticipated that the modular-neck device will have a similar short-term clinical performance to that of the Exeter, with the additional advantages of increased modularity.
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An extensive data set of total arsenic analysis for 901 polished (white) grain samples, originating from 10 countries from 4 continents, was compiled. The samples represented the baseline (i.e., notspecifically collected from arsenic contaminated areas), and all were for market sale in major conurbations. Median total arsenic contents of rice varied 7-fold, with Egypt (0.04 mg/kg) and India (0.07 mg/kg) having the lowest arsenic content while the U.S. (0.25 mg/kg) and France (0.28 mg/kg) had the highest content. Global distribution of total arsenic in rice was modeled by weighting each country's arsenic distribution by that country's contribution to global production. A subset of 63 samples from Bangladesh, China, India, Italy, and the U.S. was analyzed for arsenic species. The relationship between inorganic arsenic contentversus total arsenic contentsignificantly differed among countries, with Bangladesh and India having the steepest slope in linear regression, and the U.S. having the shallowest slope. Using country-specific rice consumption data, daily intake of inorganic arsenic was estimated and the associated internal cancer risk was calculated using the U.S. Environmental Protection Agency (EPA) cancer slope. Median excess internal cancer risks posed by inorganic arsenic ranged 30-fold for the 5 countries examined, being 0.7 per 10,000 for Italians to 22 per 10,000 for Bangladeshis, when a 60 kg person was considered.
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We have previously placed the solar contribution to recent global warming in context using observations and without recourse to climate models. It was shown that all solar forcings of climate have declined since 1987. The present paper extends that analysis to include the effects of the various time constants with which the Earth’s climate system might react to solar forcing. The solar input waveform over the past 100 years is defined using observed and inferred galactic cosmic ray fluxes, valid for either a direct effect of cosmic rays on climate or an effect via their known correlation with total solar irradiance (TSI), or for a combination of the two. The implications, and the relative merits, of the various TSI composite data series are discussed and independent tests reveal that the PMOD composite used in our previous paper is the most realistic. Use of the ACRIM composite, which shows a rise in TSI over recent decades, is shown to be inconsistent with most published evidence for solar influences on pre-industrial climate. The conclusions of our previous paper, that solar forcing has declined over the past 20 years while surface air temperatures have continued to rise, are shown to apply for the full range of potential time constants for the climate response to the variations in the solar forcings.
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An extensive data set of total arsenic analysis for 901 polished (white) grain samples, originating from 10 countries from 4 continents, was compiled. The samples represented the baseline (i.e., not specifically collected from arsenic contaminated areas), and all were for market sale in major conurbations. Median total arsenic contents of rice varied 7-fold, with Egypt (0.04 mg/kg) and India (0.07 mg/kg) having the lowest arsenic content while the U.S. (0.25 mg/kg) and France (0.28 mg/kg) had the highest content. Global distribution of total arsenic in rice was modeled by weighting each country’s arsenic distribution by that country’s contribution to global production. A subset of 63 samples from Bangladesh, China, India, Italy, and the U.S. was analyzed for arsenic species. The relationship between inorganic arsenic content versus total arsenic content significantly differed among countries, with Bangladesh and India having the steepest slope in linear regression, and the U.S. having the shallowest slope. Using country-specific rice consumption data, daily intake of inorganic arsenic was estimated and the associated internal cancer risk was calculated using the U.S. Environmental Protection Agency (EPA) cancer slope. Median excess internal cancer risks posed by inorganic arsenic ranged 30-fold for the 5 countries examined, being 0.7 per 10,000 for Italians to 22 per 10,000 for Bangladeshis, when a 60 kg person was considered.
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Generating accurate population-specific public health messages regarding sun protection requires knowledge about seasonal variation in sun exposure in different environments. To address this issue for a subtropical area of Australia, we used polysulphone badges to measure UVR for the township of Nambour (26° latitude) and personal UVR exposure among Nambour residents who were taking part in a skin cancer prevention trial. Badges were worn by participants for two winter and two summer days. The ambient UVR was approximately three times as high in summer as in winter. However, participants received more than twice the proportion of available UVR in winter as in summer (6.5%vs 2.7%, P < 0.05), resulting in an average ratio of summer to winter personal UVR exposure of 1.35. The average absolute difference in daily dose between summer and winter was only one-seventh of a minimal erythemal dose. Extrapolating from our data, we estimate that ca. 42% of the total exposure received in the 6 months of winter (June–August) and summer (December–February) is received during the three winter months. Our data show that in Queensland a substantial proportion of people’s annual UVR dose is obtained in winter, underscoring the need for dissemination of sun protection messages throughout the year in subtropical and tropical climates.