920 resultados para multivariate data analysis
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MARQUES, B.P. (2011) "Territorial Strategic Planning as a support instrument for Regional and Local Development: a comparative analysis between Lisbon and Barcelona Metropolitan Areas", in Atas do 17.º Congresso da APDR, do 5.º Congresso de Gestão e Conservação da Natureza e do Congresso Internacional da APDR/AECR, Bragança e Zamora, pp. 1265-1272, ISBN 978-989-96353-2-6.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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Dissertação para obtenção do Grau de Doutor em Alterações Climáticas e Políticas de Desenvolvimento Sustentável
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The main objective of this survey was to perform descriptive analysis of crime evolution in Portugal between 1995 and 2013. The main focus of this survey was to analyse spatial crime evolution patterns in Portuguese NUTS III regions. Most important crime types have been included into analysis. The main idea was to uncover relation between local patterns and global crime evolution; to define regions which have contributed to global crime evolution of some specific crime types and to define how they have contributed. There were many statistical reports and scientific papers which have analysed some particular crime types, but one global spatial-temporal analysis has not been found. Principal Component Analysis and multidimensional descriptive data analysis technique STATIS have been the base of the analysis. The results of this survey has shown that strong spatial and temporal crime patterns exist. It was possible to describe global crime evolution patterns and to define crime evolution patterns in NUTS III regions. It was possible to define three to four groups of crimes where each group shows similar spatial crime dynamics.
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Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).
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RESUMO:Introdução: O conhecimento acerca da prática da Fisioterapia, bem como a influência das características dos indivíduos com Osteoartrose do joelho (OA) no prognóstico dos resultados alcançados com a Fisioterapia, tem sido alvo de estudo em vários países. No entanto em Portugal, estudos desta natureza são escassos ou inexistentes. Objetivo: Este trabalho teve dois principais objetivos: Por um lado pretendeu caracterizar a prática da Fisioterapia e determinar os seus resultados em indivíduos com OA do joelho ao nível da intensidade da dor, incapacidade funcional e perceção global de melhoria; Por outro, identificar fatores preditivos para os resultados de sucesso após a intervenção da Fisioterapia. Metodologia: Trata-se de um estudo de coorte prospetivo com 77 participantes que foram avaliados antes e após a intervenção (8 semanas), com um follow-up de 3 meses. Procedeu-se à caracterização da prática da Fisioterapia quanto às modalidades utilizadas, número de sessões de tratamento e duração do episódio de cuidados. Os resultados obtidos foram medidos após intervenção (8 semanas) e num follow-up (3 meses), através da Escala Numérica da Dor (END), da versão Portuguesa do Questionário Knee Injury and Osteoarthritis Outcome Score (KOOS-PT), e da versão Portuguesa da Patient Global Impression of Change Scale (PGIC-PT). As características sociodemográficas e clínicas foram incluídas como potenciais fatores de prognóstico com base no critério de pontuação ≥5 na PGIC-PT e a análise dos dados foi realizada através do método de regressão logística multivariado no sentido de identificar as associações entre as variáveis na baseline e as variáveis de resultado (p<0.05). Resultados: Os resultados obtidos revelaram que existe uma grande diversidade de modalidades e procedimentos terapêuticos realizados pelos fisioterapeutas no tratamento da OA do joelho (em média 4 modalidades por utente), sendo os exercícios, a eletroterapia e a terapia manual, as intervenções mais frequentemente realizadas. Os resultados da intervenção revelaram uma redução significativa da intensidade da dor e da incapacidade funcional (medida pelas diferentes dimensões da KOOS-PT) às 8 semanas e aos 3 meses (p=0,001). A probabilidade de obter bons resultados na percepção de melhoria para realizar actividades da vida diária, está significativamente associada com a pontuação na dimensão KOOS AVD (OR=1,106, 95% IC 1,056-1,159) e com a intensidade da dor, (OR=0,543, 95% IC 0,300-0,983), na baseline. A probabilidade de obter bons resultados na percepção de melhoria relativa à dor, está significativamente associada com a pontuação na dimensão KOOS DOR (OR=1,116, 95% IC 1,030-1,209), e dimensão KOOS ADL (OR=1,123, 95% IC 1,014-1,243), na baseline. Conclusões: Os resultados do presente estudo revelam que a intervenção em Fisioterapia em casos de OA do joelho, apesar de utilizar uma grande diversidade de modalidades terapêuticas, proporciona uma redução significativa dos níveis de dor e incapacidade funcional em utentes com OA do joelho. Os resultados do presente estudo sugerem ainda que o sucesso da intervenção pode ser predito a partir de variáveis clinicas na baseline.------------ABSTRACT:Introduction: The knowledge about the practice of physical therapy, as well as the influence of the characteristics of subjects with knee osteoarthritis (OA) in the prognosis of the results achieved with physiotherapy, have been studied in several countries. However in Portugal, such studies are scarce or nonexistent. Objective: This study had two main aims: on one hand sought to characterize the practice of physical therapy and determine their outcomes in subjects with OA of the knee joint at the level of pain intensity, functional disability and global perception of improvement; Secondly, to identify predictive factors for successful outcomes after the intervention of physiotherapy. Methods: This was a prospective cohort study with 77 participants who were evaluated before and after the intervention (8 weeks), with a follow-up of 3 months. Proceeded to characterize the practice of physical therapy as modalities used, number of treatment sessions and duration of the period of care. The results were measured after intervention (8 weeks) and a follow-up (3 months) by a Numerical Rating Scale (NRS), the Portuguese version of the Knee Injury and Osteoarthritis Questionnaire Outcome Score (KOOS-PT) and the Patient Global Impression of Change Scale- Portuguese Version (PGIC-PT). The sociodemographic and clinical characteristics were included as potential prognostic factors based on scoring criteria≥5 na PGIC-PT and data analysis was performed using the method of multivariate logistic regression to identify associations between variables at baseline and outcome variables (p<0.05). Results: The results revealed that there is a great diversity of modalities and therapeutic procedures performed by physiotherapists in the treatment of knee OA (average 4 per user modes), with exercises, electrotherapy and manual therapy interventions most frequently performed. The results of intervention showed a significant reduction in the severity of pain and functional disability (measured by the different dimensions of the KOOS-PT) at 8 weeks and at 3 months (p = 0.001). The probability of getting good results in the perception of improvement to perform activities of daily living, is significantly associated with scores on the dimension KOOS ADL (OR=1,106, 95% CI 1,056-1,159) and the intensity of pain (OR = 0.543, 95% CI 0.300 to 0.983) at baseline. The probability of getting good results in the perception of improvement of the pain is significantly associated with scores on the KOOS PAIN (OR = 1.116, 95% CI 1.030 to 1.209) and KOOS ADL (OR = 1.123, 95% CI 1.014 to 1.243) at the baseline. Conclusions: The results of this study show that Physiotherapy treatment in cases of knee OA, provide a significant reduction of pain and disability among users with knee OA, despite the wide variety of therapeutic modalities. The results of this study also suggest that the success of the intervention can be predicted from clinical variables at baseline.
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RESUMO: Introdução: O conhecimento acerca da influência das características dos indivíduos com dor cervical crónica (DCC) no prognóstico dos resultados alcançados com a Fisioterapia é ainda inconsistente, sendo escassos os estudos desenvolvidos neste âmbito. Objetivo: Este relatório pretende determinar se um modelo baseado em fatores de prognóstico é capaz de prever os resultados de sucesso da Fisioterapia, a curto prazo, em utentes com DCC, ao nível da incapacidade funcional, intensidade da dor e perceção global de melhoria. Metodologia: Trata-se de estudo de coorte prospetivo com 112 participantes. Os utentes foram avaliados na primeira semana de tratamento e sete semanas após o início da intervenção. Os instrumentos utilizados foram o Neck Disability Index–Versão Portuguesa (NDI-PT) e a Escala Numérica da Dor (END) nos dois momentos de avaliação, um Questionário de Caracterização Sociodemográfica e Clínica da Amostra na baseline e a Patient Global Impression Change Scale–Versão Portuguesa (PGIC-PT) no follow-up. As características sociodemográficas e clínicas foram incluídas como potenciais fatores de prognóstico e estes foram definidos com base nas diferenças mínimas clinicamente importantes (DMCI) dos instrumentos NDIPT (DMCI≥6) e END (DMCI≥2) e no critério de pontuação ≥5 na PGIC-PT. A análise dos dados foi realizada através do método de regressão logística (backward conditional procedure) para identificar as associações entre os indicadores e as variáveis de resultado (p<0.05). Resultados: Dos 112 participantes incluídos no estudo, 108 completaram o follow-up (média de idade: 51.76±10.19). No modelo multivariado relativo à incapacidade funcional, os resultados de sucesso encontram-se associados a elevados níveis de incapacidade na baseline (OR=1.123; 95% IC 1.056–1.194) e a duração da dor inferior a 12 meses (OR=2.704; 95% IC 1.138–6.424). Este modelo explica 30.0% da variância da melhoria da funcionalidade e classifica corretamente 74.1% dos utentes (sensibilidade: 75.9%; especificidade: 72.0%). O modelo relativo à intensidade da dor identificou apenas a associação do outcome com níveis elevados de intensidade da dor na baseline (OR=1.321; 95% IC 1.047–1.668), explicando 7.5% da variância da redução da mesma e classificando corretamente 68.2% dos utentes (sensibilidade: 94.4%; especificidade: 16.7%). O modelo final referente à perceção global de melhoria apresentou uma associação com a intensidade da dor na baseline (OR=0.621; 95% IC 0.465–0.829), com a presença de cefaleias e/ou tonturas (OR=2.538; 95% IC 0.987–6.526) e com a duração da dor superior a 12 meses (OR=0.279; 95% IC 0.109–0.719). Este modelo explica 27.5% da variância dos resultados de sucesso para este outcome e classifica corretamente 73.1% dos utentes (sensibilidade: 81.8%; especificidade: 59.5%). Conclusões: Utentes com DCC com elevada incapacidade na baseline e queixas de dor há menos de 12 meses apresentam maior probabilidade de obter melhorias ao nível da incapacidade funcional. Elevados níveis de intensidade da dor na baseline predizem resultados de sucesso na redução da dor após sete semanas de tratamento. Utentes com DCC com baixos níveis de dor na baseline, com cefaleias e/ou tonturas e com queixas de dor há mais de 12 meses apresentam maior probabilidade de obter uma melhor perceção de melhoria.--------------- ABSTRACT:Introduction: The influence of the characteristics of individuals with chronic neck pain (CNP) on the prognosis of physiotherapy outcomes is still inconsistent, there being few studies developed in this context. Aim: This study seeks to determine whether a model based on prognostic factors can predict the short-term physiotherapy successful outcomes in CNP patients, regarding functional disability, pain intensity and perceived recovery. Methodology: This is a prospective cohort study with 112 participants. Patients were assessed during the first week of treatment and seven weeks after the start of the intervention. The instruments used were the Neck Disability Index–Portuguese Version (NDI-PT) and the Numerical Rating Scale (NRS) at both moments of assessment, a Sample Sociodemographic and Clinical Characterization Questionnaire at baseline and Patient Global Impression Change Scale–Portuguese Version (PGIC-PT) at the follow-up. The sociodemographic and clinical characteristics were included as potential predictors of successful outcomes, and these were defined on the basis of minimal clinically important differences (MCID) of NDI-PT (MCID≥6) and END (MCID≥2) and the criteria score ≥5 on the PGIC-PT. Data analysis was performed using logistic regression (backward conditional procedure) to identify associations between predictors and outcomes (p<0.05). Results: Of the 112 participants included in the study, 108 completed the follow-up (mean age: 51.76±10.19). In the multivariate model of functional disability, the successful outcomes are associated with high levels of disability at baseline (OR = 1.123; 95% CI 1.056-1.194), and pain duration shorter than 12 months (OR=2.704; 95% CI 1.138–6.424). This model explains 30.0% of the variance of improved functional capacity and correctly classifies 74.1% of the patients (sensitivity: 75.9%, specificity: 72.0%). The model for pain intensity solely identified an outcome association with high pain intensity at baseline (OR=1.321; 95% CI 1.047-1.668), explaining 7.5% of the variance of pain reduction and correctly classifying 68.2% of the patients (sensitivity: 94.4%, specificity: 16.7%). The final model of perceived recovery showed an association with pain intensity at baseline (OR=0.621; 95% CI 0465-0829), with the presence of headache and/or dizziness (OR=2.538; 95% CI 0.987-6.526) and the duration of pain over 12 months (OR=0.279; 95% CI 0.109-0.719). This model explains 27.5% of the variance of successful outcomes and correctly classifies 73.1% of the patients (sensitivity: 81.8%, specificity: 59.5%). Conclusions: Patients with CNP with high disability at baseline and complaints of pain for less than 12 months are more likely to obtain improvements in functional disability. High levels of pain intensity at baseline predict successful outcomes in pain reduction after seven weeks of treatment. Patients with CNP with low levels of pain at baseline, with headache and/or dizziness and with pain complaints for more than 12 months are more likely to get a better perceived recovery.
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RESUMO:Introdução: O conhecimento acerca da influência das características dos indivíduos com dor cervical crónica (DCC) no prognóstico dos resultados alcançados com a Fisioterapia é ainda inconsistente, sendo escassos os estudos desenvolvidos neste âmbito. Objetivo: Este relatório pretende determinar se um modelo baseado em fatores de prognóstico é capaz de prever os resultados de sucesso da Fisioterapia, a curto prazo, em utentes com DCC, ao nível da incapacidade funcional, intensidade da dor e perceção global de melhoria. Metodologia: Trata-se de estudo de coorte prospetivo com 112 participantes. Os utentes foram avaliados na primeira semana de tratamento e sete semanas após o início da intervenção. Os instrumentos utilizados foram o Neck Disability Index–Versão Portuguesa (NDI-PT) e a Escala Numérica da Dor (END) nos dois momentos de avaliação, um Questionário de Caracterização Sociodemográfica e Clínica da Amostra na baseline e a Patient Global Impression Change Scale–Versão Portuguesa (PGIC-PT) no follow-up. As características sociodemográficas e clínicas foram incluídas como potenciais fatores de prognóstico e estes foram definidos com base nas diferenças mínimas clinicamente importantes (DMCI) dos instrumentos NDIPT (DMCI≥6) e END (DMCI≥2) e no critério de pontuação ≥5 na PGIC-PT. A análise dos dados foi realizada através do método de regressão logística (backward conditional procedure) para identificar as associações entre os indicadores e as variáveis de resultado (p<0.05). Resultados: Dos 112 participantes incluídos no estudo, 108 completaram o follow-up (média de idade: 51.76±10.19). No modelo multivariado relativo à incapacidade funcional, os resultados de sucesso encontram-se associados a elevados níveis de incapacidade na baseline (OR=1.123; 95% IC 1.056–1.194) e a duração da dor inferior a 12 meses (OR=2.704; 95% IC 1.138–6.424). Este modelo explica 30.0% da variância da melhoria da funcionalidade e classifica corretamente 74.1% dos utentes (sensibilidade: 75.9%; especificidade: 72.0%). O modelo relativo à intensidade da dor identificou apenas a associação do outcome com níveis elevados de intensidade da dor na baseline (OR=1.321; 95% IC 1.047–1.668), explicando 7.5% da variância da redução da mesma e classificando corretamente 68.2% dos utentes (sensibilidade: 94.4%; especificidade: 16.7%). O modelo final referente à perceção global de melhoria apresentou uma associação com a intensidade da dor na baseline (OR=0.621; 95% IC 0.465–0.829), com a presença de cefaleias e/ou tonturas (OR=2.538; 95% IC 0.987–6.526) e com a duração da dor superior a 12 meses (OR=0.279; 95% IC 0.109–0.719). Este modelo explica 27.5% da variância dos resultados de sucesso para este outcome e classifica corretamente 73.1% dos utentes (sensibilidade: 81.8%; especificidade: 59.5%). Conclusões: Utentes com DCC com elevada incapacidade na baseline e queixas de dor há menos de 12 meses apresentam maior probabilidade de obter melhorias ao nível da incapacidade funcional. Elevados níveis de intensidade da dor na baseline predizem resultados de sucesso na redução da dor após sete semanas de tratamento. Utentes com DCC com baixos níveis de dor na baseline, com cefaleias e/ou tonturas e com queixas de dor há mais de 12 meses apresentam maior probabilidade de obter uma melhor perceção de melhoria.-----------ABSTRACT: Introduction: The influence of the characteristics of individuals with chronic neck pain (CNP) on the prognosis of physiotherapy outcomes is still inconsistent, there being few studies developed in this context. Aim: This study seeks to determine whether a model based on prognostic factors can predict the short-term physiotherapy successful outcomes in CNP patients, regarding functional disability, pain intensity and perceived recovery. Methodology: This is a prospective cohort study with 112 participants. Patients were assessed during the first week of treatment and seven weeks after the start of the intervention. The instruments used were the Neck Disability Index–Portuguese Version (NDI-PT) and the Numerical Rating Scale (NRS) at both moments of assessment, a Sample Sociodemographic and Clinical Characterization Questionnaire at baseline and Patient Global Impression Change Scale–Portuguese Version (PGIC-PT) at the follow-up. The sociodemographic and clinical characteristics were included as potential predictors of successful outcomes, and these were defined on the basis of minimal clinically important differences (MCID) of NDI-PT (MCID≥6) and END (MCID≥2) and the criteria score ≥5 on the PGIC-PT. Data analysis was performed using logistic regression (backward conditional procedure) to identify associations between predictors and outcomes (p<0.05). Results: Of the 112 participants included in the study, 108 completed the follow-up (mean age: 51.76±10.19). In the multivariate model of functional disability, the successful outcomes are associated with high levels of disability at baseline (OR = 1.123; 95% CI 1.056-1.194), and pain duration shorter than 12 months (OR=2.704; 95% CI 1.138–6.424). This model explains 30.0% of the variance of improved functional capacity and correctly classifies 74.1% of the patients (sensitivity: 75.9%, specificity: 72.0%). The model for pain intensity solely identified an outcome association with high pain intensity at baseline (OR=1.321; 95% CI 1.047- 1.668), explaining 7.5% of the variance of pain reduction and correctly classifying 68.2% of the patients (sensitivity: 94.4%, specificity: 16.7%). The final model of perceived recovery showed an association with pain intensity at baseline (OR=0.621; 95% CI 0465-0829), with the presence of headache and/or dizziness (OR=2.538; 95% CI 0.987-6.526) and the duration of pain over 12 months (OR=0.279; 95% CI 0.109- 0.719). This model explains 27.5% of the variance of successful outcomes and correctly classifies 73.1% of the patients (sensitivity: 81.8%, specificity: 59.5%). Conclusions: Patients with CNP with high disability at baseline and complaints of pain for less than 12 months are more likely to obtain improvements in functional disability. High levels of pain intensity at baseline predict successful outcomes in pain reduction after seven weeks of treatment. Patients with CNP with low levels of pain at baseline, with headache and/or dizziness and with pain complaints for more than 12 months are more likely to get a better perceived recovery.
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As huge amounts of data become available in organizations and society, specific data analytics skills and techniques are needed to explore this data and extract from it useful patterns, tendencies, models or other useful knowledge, which could be used to support the decision-making process, to define new strategies or to understand what is happening in a specific field. Only with a deep understanding of a phenomenon it is possible to fight it. In this paper, a data-driven analytics approach is used for the analysis of the increasing incidence of fatalities by pneumonia in the Portuguese population, characterizing the disease and its incidence in terms of fatalities, knowledge that can be used to define appropriate strategies that can aim to reduce this phenomenon, which has increased more than 65% in a decade.
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Extreme value models are widely used in different areas. The Birnbaum–Saunders distribution is receiving considerable attention due to its physical arguments and its good properties. We propose a methodology based on extreme value Birnbaum–Saunders regression models, which includes model formulation, estimation, inference and checking. We further conduct a simulation study for evaluating its performance. A statistical analysis with real-world extreme value environmental data using the methodology is provided as illustration.
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This data article is referred to the research article entitled The role of ascorbate peroxidase, guaiacol peroxidase, and polysaccharides in cassava (Manihot esculenta Crantz) roots under postharvest physiological deterioration by Uarrota et al. (2015). Food Chemistry 197, Part A, 737746. The stress duo to PPD of cassava roots leads to the formation of ROS which are extremely harmful and accelerates cassava spoiling. To prevent or alleviate injuries from ROS, plants have evolved antioxidant systems that include non-enzymatic and enzymatic defence systems such as ascorbate peroxidase, guaiacol peroxidase and polysaccharides. In this data article can be found a dataset called newdata, in RData format, with 60 observations and 06 variables. The first 02 variables (Samples and Cultivars) and the last 04, spectrophotometric data of ascorbate peroxidase, guaiacol peroxidase, tocopherol, total proteins and arcsined data of cassava PPD scoring. For further interpretation and analysis in R software, a report is also provided. Means of all variables and standard deviations are also provided in the Supplementary tables (data.long3.RData, data.long4.RData and meansEnzymes.RData), raw data of PPD scoring without transformation (PPDmeans.RData) and days of storage (days.RData) are also provided for data analysis reproducibility in R software.
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Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação
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Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação
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Tese de Doutoramento em Engenharia Civil.
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Adding Omega fatty acids (ω) 3 to the diet of stud bucks, the quality of sperm and their resistance to cryopreservation could increase. The aim of this study is to determine the effect of supplementation with ω3 on the metabolic state, sperm quality and resistance to freezing, in bucks kept in confinement under natural photoperiod. The experiment will be conducted in the facilities of the Faculty of Agronomy and Veterinary, UNRC (National University of Río Cuarto). Ten Anglo Nubian adult bucks, trained for semen collection with artificial vagina will be used. Males will be randomly allocated into 2 groups (5 animals each): control (C) and treatment (T). During the breeding season, group C will be fed with a ration of alfalfa and ground corn, according to the requirements for each category and sex (NRC, 2007). Group T will receive the same diet with the addition of linseeds. Both will have free access to water. Every week, semen of each buck, will be collected, evaluated and frozen. Sperm quality “in vitro” after thawing will be studied with a digital image analyzer. To assess oxidative stress in fresh and cryopreserved semen, levels of thiobarbituric acid reactive substances (TBARS) and quantification of the activity of superoxide dismutase (SOD) and catalase (CAT) will be determined. To establish the metabolic state, blood samples will be collected every two weeks. The statistical analysis will include an exploratory data analysis, multivariate analysis of multiple correspondences on a completely randomized design, analysis of variance and Fisher post-test. The level of significance will be set at P <0.05 and all results will be expressed as means ± SEM.