850 resultados para Preferences and segmentation
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Background/Purpose: Physical exercise is safe and effective as an adjunctive nonpharmacological treatment modality in the management of rheumatoid arthritis (RA). It is well established that patients with RA are less active compared to healthy controls. The transtheoretical model of health promotion, based on five stages of change, provides a useful framework to better understand patients' motivation towards regular exercise. The purpose of this study was to determine the distribution of exercise stages of change in a RA cohort, and to examine barriers, benefits and preferences for exercise. Methods: One hundred and twenty consecutive patients with RA followed at a hospital-based rheumatology practice were invited to participate in the study. Those who accepted to participate filled in a questionnaire to determine their exercise stage of change, their perceived benefits and barriers to exercise, and their preferences for various features of exercise. Disease activity was measured using the disease activity score (DAS28). Other variables included the Health Assessment Questionnaire (HAQ), the short version of the Arthritis Impact Measurement Scales 2 (AIMS2-SF), pain and fatigue visual analogue scales (VAS), the number of comorbidities and demographic characteristics. Characteristics of patients in the maintenance and precontemplation stages of change were compared using two-sample t tests, Wilcoxon rank-sum tests and Chi-square tests. Results: Eighty nine (74%) patients were finally included in the analyses. Mean age was 58.4 (SD 11.7) years, mean RA duration was 10.1 (9.8) years and mean DAS28 was 2.8 (1.2). The distribution of exercise stages of change was as follows: precontemplation (n_30, 34%), contemplation (n_11, 13%), preparation (n_5, 6%), action (n_2, 2%), and maintenance (n_39, 45%). Compared to patients in the maintenance stage of change, precontemplators were less often at work (P_0.05), exhibited a higher body mass index (P_0.01), poorer HAQ (P_0.01), higher pain VAS (P_0.05), poorer scores of physical (P_0.001), symptom (P_0.01), affect (P_0.01) and role (P_0.01) dimensions of the AIMS2-SF, and reported less exercise benefits (P_0.05) and more barriers to exercise (p_0.01). Most participants preferred exercising alone (40%), at home (29%), at a moderate intensity (64%), with advice provided by a rheumatologist (34%) or a specialist in exercise and RA (34%). Walking was by far the preferred type of exercise, in both the summer (86%) and the winter (51%). Conclusion: This study provides new insight into how RA interferes with exercise participation. Our cohort of patients with RA was essentially distributed across the precontemplation and maintenance exercise stages of change. These subgroups of patients exhibit psychological and functional differences that make their needs in terms of exercise counseling different. Walking appears to be a simple but promising way of promoting physical activity among RA patients.
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Market segmentation is an important issue when estimating the implicit price for an environmental amenity from a surrogate market like property. This paper tests the hypothesis of a segmentation of the housing market between tourists and residents and computes the implicit price for natural landscape quality in Swiss alpine resorts. The results show a clear segmentation between both groups of consumers, although tests also show that the estimated coefficient for landscape is similar in the tourists' model and in the residents'. However, since the functional form is non linear, the nominal - rather than relative - value of a change in natural landscape quality is higher in the tourist housing market than in the residents'. Hence, considering the segmentation of the market between tourists and residents is essential in order to provide valid estimates of the nominal implicit price of natural landscape quality.
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Beliefs about how goods and resources should be distributed in society constitute a central element in the identification with political parties. In this sense, the preference for a more or less active role of the state in redistribution is expected to be related with different party identifications and with the left-right continuum. The present article challenges this assumption, proposing that processes of ideological destructuration have led to that party identification does not constitute a current political cleavage in Chile. The data to be analyzed correspond to the International Social Survey Programme survey implemented in Chile in 1999 and 2009. Results indicate there are scarce differences in distributional preferences by the identification with political parties.
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This paper presents the evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012. The challenge was set to compare and evaluate current fetal ultrasound image segmentation methods. It consisted of automatically segmenting fetal anatomical structures to measure standard obstetric biometric parameters, from 2D fetal ultrasound images taken on fetuses at different gestational ages (21 weeks, 28 weeks, and 33 weeks) and with varying image quality to reflect data encountered in real clinical environments. Four independent sub-challenges were proposed, according to the objects of interest measured in clinical practice: abdomen, head, femur, and whole fetus. Five teams participated in the head sub-challenge and two teams in the femur sub-challenge, including one team who tackled both. Nobody attempted the abdomen and whole fetus sub-challenges. The challenge goals were two-fold and the participants were asked to submit the segmentation results as well as the measurements derived from the segmented objects. Extensive quantitative (region-based, distance-based, and Bland-Altman measurements) and qualitative evaluation was performed to compare the results from a representative selection of current methods submitted to the challenge. Several experts (three for the head sub-challenge and two for the femur sub-challenge), with different degrees of expertise, manually delineated the objects of interest to define the ground truth used within the evaluation framework. For the head sub-challenge, several groups produced results that could be potentially used in clinical settings, with comparable performance to manual delineations. The femur sub-challenge had inferior performance to the head sub-challenge due to the fact that it is a harder segmentation problem and that the techniques presented relied more on the femur's appearance.
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Contexte et but de l'étude: La relation médecin-patient a subi d'importants changements et l'actuelle émancipation des patients a conduit à un véritable partenariat dans la prise de décisions thérapeutiques. Notre étude a pour but de déterminer les préférences des patients pour différents aspects de la prise de décisions au cours d'un traitement et de ses potentielles complications, de même que la quantité et le type d'information souhaitée avant une intervention chirurgicale digestive. Patients et méthodes : Il s'agit d'une étude prospective non-randomisée basée sur un questionnaire donné lors de la consultation préopératoire à 254 patients consécutifs prévus pour une chirurgie gastro-intestinale élective. Résultats : Pour les potentielles complications chirurgicales et la possibilité d'un séjour aux soins intensifs, 64% des patients souhaitent participer activement aux décisions médicales, et respectivement 89% et 60% des patients aimeraient discuter d'une éventuelle réanimation cardio-pulmonaire et de limitations au traitement. Respectivement 73%, 77% et 47% des patients ont souhaité une information très détaillée, une infoimation pour une possible hospitalisation en soins intensifs ou une éventuelle réanimation cardiaque. Les patients âgés ou avec un niveau de formation bas étaient significativement moins intéressés à une prise de décision partagée (p=0.003 et 0.015) et à une information complète (p=0.03 et 0.05), De plus, l'implication des familles dans les prises de décision n'était favorisée que si le patient est en coma (74%), et significativement moins importante chez les personnes âgées et de sexe masculin (p=0.04 et 0.03 respectivement). Ni le type de chirurgie prévue (majeure ou mineure) ni la sévérité de la pathologie (cancer ou non) ne furent des facteurs statistiquement significatifs pour un désir plus élevé de partager la prise de décision, pour plus d'information ou pour impliquer d'avantage la famille. Conclusions : Notre étude démontre que la majorité des patients chirurgicaux souhaitent recevoir une information préopératoire complète concernant leur maladie et le traitement planifié. Ils considèrent également comme crucial d'être impliqués dans les prises de décisions thérapeutiques pour le traitement et pour les possibles complications. Le rôle de la famille est limité aux situations ou le patient n'est plus en mesure de participer aux décisions.
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This paper describes an evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been introduced at the MICCAI 2011 Computing and Visualization for (Intra)Vascular Imaging (CVII) workshop, comparing the results of eight teams that participated. We describe the available data-base comprising of multi-center, multi-vendor and multi-frequency IVUS datasets, their acquisition, the creation of the reference standard and the evaluation measures. The approaches address segmentation of the lumen, the media, or both borders; semi- or fully-automatic operation; and 2-D vs. 3-D methodology. Three performance measures for quantitative analysis have been proposed. The results of the evaluation indicate that segmentation of the vessel lumen and media is possible with an accuracy that is comparable to manual annotation when semi-automatic methods are used, as well as encouraging results can be obtained also in case of fully-automatic segmentation. The analysis performed in this paper also highlights the challenges in IVUS segmentation that remains to be solved.
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Markkinasegmentointi nousi esiin ensi kerran jo 50-luvulla ja se on ollut siitä lähtien yksi markkinoinnin peruskäsitteistä. Suuri osa segmentointia käsittelevästä tutkimuksesta on kuitenkin keskittynyt kuluttajamarkkinoiden segmentointiin yritys- ja teollisuusmarkkinoiden segmentoinnin jäädessä vähemmälle huomiolle. Tämän tutkimuksen tavoitteena on luoda segmentointimalli teollismarkkinoille tietotekniikan tuotteiden ja palveluiden tarjoajan näkökulmasta. Tarkoituksena on selvittää mahdollistavatko case-yrityksen nykyiset asiakastietokannat tehokkaan segmentoinnin, selvittää sopivat segmentointikriteerit sekä arvioida tulisiko tietokantoja kehittää ja kuinka niitä tulisi kehittää tehokkaamman segmentoinnin mahdollistamiseksi. Tarkoitus on luoda yksi malli eri liiketoimintayksiköille yhteisesti. Näin ollen eri yksiköiden tavoitteet tulee ottaa huomioon eturistiriitojen välttämiseksi. Tutkimusmetodologia on tapaustutkimus. Lähteinä tutkimuksessa käytettiin sekundäärisiä lähteitä sekä primäärejä lähteitä kuten case-yrityksen omia tietokantoja sekä haastatteluita. Tutkimuksen lähtökohtana oli tutkimusongelma: Voiko tietokantoihin perustuvaa segmentointia käyttää kannattavaan asiakassuhdejohtamiseen PK-yritys sektorilla? Tavoitteena on luoda segmentointimalli, joka hyödyntää tietokannoissa olevia tietoja tinkimättä kuitenkaan tehokkaan ja kannattavan segmentoinnin ehdoista. Teoriaosa tutkii segmentointia yleensä painottuen kuitenkin teolliseen markkinasegmentointiin. Tarkoituksena on luoda selkeä kuva erilaisista lähestymistavoista aiheeseen ja syventää näkemystä tärkeimpien teorioiden osalta. Tietokantojen analysointi osoitti selviä puutteita asiakastiedoissa. Peruskontaktitiedot löytyvät mutta segmentointia varten tietoa on erittäin rajoitetusti. Tietojen saantia jälleenmyyjiltä ja tukkureilta tulisi parantaa loppuasiakastietojen saannin takia. Segmentointi nykyisten tietojen varassa perustuu lähinnä sekundäärisiin tietoihin kuten toimialaan ja yrityskokoon. Näitäkään tietoja ei ole saatavilla kaikkien tietokannassa olevien yritysten kohdalta.
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Se estudia la composiciÛn y estructura de la comunidad de macroinvertebrados a lo largo de un transecto en profundidad en el lago Redó (Pirineos). Este estudio se enmarca dentro del proyecto de ámbito europeo MOLAR (Mountain Lake Research). Un equipo de buceadores muestreo dos tipos de substrato, piedras y fondos blandos, cada 2 m desde los 2 a los 20 m de profundidad. En la parte m·s profunda del lago las muestras se tomaron con draga Ekman (tres rÈplicas). Todas las muestras se tomaron el mismo día, el 15 de Julio de 1997. Los resultados, mediante un análisis de autocorrelación de Mantel, muestran que no existe un gradiente continuo en la sustituciÛn de unas especies por otras en la comunidad sobre substrato rocoso, sino que se distinguen dos discontinuidades claras, una a los 4 metros y otra a los 14 metros. La primera separa las especies propias de la zona litoral respecto a las de la zona sublitoral, mientras que la segunda coincide con la parte inferior de la termoclina, una zona siempre mas frÌa, con menos luz y con mayor acumulación de material fino sobre los sustratos duros a la vez que desaparece la cobertura algal que cubrÌa las piedras hasta esta profundidad. Respecto al sustrato existen especies que claramente prefieren el sustrato blando (oligoquetos, o los quironÛmidos Micropsectra radialis y Pseudodiamesa nivosa), mientras que otras eran más abundantes o exclusivas de los sustratos duros (Radix peregra, Plectrocnemia laetabilis, Psectrocladius octomaculatus). Estos resultados seran muy útiles para la interpretaciÛn de los datos paleolimnolÛgicos de los cores que actualmente se est·n estudiando en el lago.
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BACKGROUND: Major factors influencing the phenotypic diversity of a lineage can be recognized by characterizing the extent and mode of trait evolution between related species. Here, we compared the evolutionary dynamics of traits associated with floral morphology and climatic preferences in a clade composed of the genera Codonanthopsis, Codonanthe and Nematanthus (Gesneriaceae). To test the mode and specific components that lead to phenotypic diversity in this group, we performed a Bayesian phylogenetic analysis of combined nuclear and plastid DNA sequences and modeled the evolution of quantitative traits related to flower shape and size and to climatic preferences. We propose an alternative approach to display graphically the complex dynamics of trait evolution along a phylogenetic tree using a wide range of evolutionary scenarios. RESULTS: Our results demonstrated heterogeneous trait evolution. Floral shapes displaced into separate regimes selected by the different pollinator types (hummingbirds versus insects), while floral size underwent a clade-specific evolution. Rates of evolution were higher for the clade that is hummingbird pollinated and experienced flower resupination, compared with species pollinated by bees, suggesting a relevant role of plant-pollinator interactions in lowland rainforest. The evolution of temperature preferences is best explained by a model with distinct selective regimes between the Brazilian Atlantic Forest and the other biomes, whereas differentiation along the precipitation axis was characterized by higher rates, compared with temperature, and no regime or clade-specific patterns. CONCLUSIONS: Our study shows different selective regimes and clade-specific patterns in the evolution of morphological and climatic components during the diversification of Neotropical species. Our new graphical visualization tool allows the representation of trait trajectories under parameter-rich models, thus contributing to a better understanding of complex evolutionary dynamics.
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Introduction: Gamma Knife surgery (GKS) is a noninvasive neurosurgical stereotactic procedure, increasingly used as an alternative to open functional procedures. This includes the targeting of the ventrointermediate nucleus of the thalamus (e.g., Vim) for tremor. Objective: To enhance anatomic imaging for Vim GKS using high-field (7 T) MRI and Diffusion Weighted Imaging (DWI). Methods: Five young healthy subjects and two patients were scanned both on 3 and 7 T MRI. The protocol was the same in all cases, and included: T1-weighted (T1w) and DWI at 3T; susceptibility weighted images (SWI) at 7T for the visualization of thalamic subparts. SWI was further integrated into the Gamma Plan Software® (LGP, Elekta Instruments, AB, Sweden) and co-registered with 3T images. A simulation of targeting of the Vim was done using the quadrilatere of Guyot. Furthermore, a correlation with the position of the found target on SWI and also on DWI (after clustering of the different thalamic nuclei) was performed. Results: For the 5 healthy subjects, there was a good correlation between the position of the Vim on SWI, DWI and the GKS targeting. For the patients, on the pretherapeutic acquisitions, SWI helped in positioning the target. For posttherapeutic sequences, SWI supposed position of the Vim matched the corresponding contrast enhancement seen at follow-up MRI. Additionally, on the patient's follow-up T1w images, we could observe a small area of contrast-enhancement corresponding to the target used in GKS (e.g., Vim), which belongs to the Ventral-Lateral-Ventral (VLV) nuclei group. Our clustering method resulted in seven thalamic groups. Conclusion: The use of SWI provided us with a superior resolution and an improved image contrast within the central gray matter, enabling us to directly visualize the Vim. We additionally propose a novel robust method for segmenting the thalamus in seven anatomical groups based on DWI. The localization of the GKS target on the follow-up T1w images, as well as the position of the Vim on 7 T, have been used as a gold standard for the validation of VLV cluster's emplacement. The contrast enhancement corresponding to the targeted area was always localized inside the expected cluster, providing strong evidence of the VLV segmentation accuracy. The anatomical correlation between the direct visualization on 7T and the current targeting methods on 3T (e.g., quadrilatere of Guyot, histological atlases, DWI) seems to show a very good anatomical matching.
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Given the dual role of many plant traits to tolerate both herbivore attack and abiotic stress, the climatic niche of a species should be integrated into the study of plant defense strategies. Here we investigate the impact of plant reproductive strategy and components of species' climatic niche on the rate of chemical defense evolution in the milkweeds using a common garden experiment of 49 species. We found that across Asclepias species, clonal reproduction repeatedly evolved in lower temperature conditions, in species generally producing low concentrations of a toxic defense (cardenolides). Additionally, we found that rates of cardenolide evolution were lower for clonal than for nonclonal species. We thus conclude that because the clonal strategy is based on survival, long generation times, and is associated with tolerance of herbivory, it may be an alternative to toxicity in colder ecosystems. Taken together, these results indicate that the rate of chemical defense evolution is influenced by the intersection of life-history strategy and climatic niches into which plants radiate.
A new approach to segmentation based on fusing circumscribed contours, region growing and clustering
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One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed
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In this paper a colour texture segmentation method, which unifies region and boundary information, is proposed. The algorithm uses a coarse detection of the perceptual (colour and texture) edges of the image to adequately place and initialise a set of active regions. Colour texture of regions is modelled by the conjunction of non-parametric techniques of kernel density estimation (which allow to estimate the colour behaviour) and classical co-occurrence matrix based texture features. Therefore, region information is defined and accurate boundary information can be extracted to guide the segmentation process. Regions concurrently compete for the image pixels in order to segment the whole image taking both information sources into account. Furthermore, experimental results are shown which prove the performance of the proposed method
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Speaker diarization is the process of sorting speeches according to the speaker. Diarization helps to search and retrieve what a certain speaker uttered in a meeting. Applications of diarization systemsextend to other domains than meetings, for example, lectures, telephone, television, and radio. Besides, diarization enhances the performance of several speech technologies such as speaker recognition, automatic transcription, and speaker tracking. Methodologies previously used in developing diarization systems are discussed. Prior results and techniques are studied and compared. Methods such as Hidden Markov Models and Gaussian Mixture Models that are used in speaker recognition and other speech technologies are also used in speaker diarization. The objective of this thesis is to develop a speaker diarization system in meeting domain. Experimental part of this work indicates that zero-crossing rate can be used effectively in breaking down the audio stream into segments, and adaptive Gaussian Models fit adequately short audio segments. Results show that 35 Gaussian Models and one second as average length of each segment are optimum values to build a diarization system for the tested data. Uniting the segments which are uttered by same speaker is done in a bottom-up clustering by a newapproach of categorizing the mixture weights.