965 resultados para Time-dependent data


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Dissertação para obtenção do Grau de Mestre em Biotecnologia

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RESUMO: A infeção é frequente durante a doença crítica, quer como causa da doença crítica quer como complicação da sua evolução. Paradoxalmente, os avanços da medicina moderna aumentaram eles próprios o risco de infeção, ao permitir a sobrevida até idades avançadas, ao criar um novo grupo de doentes imunodeprimidos, nomeadamente doentes tratados com fármacos que interferem com as suas defesas naturais (corticóides, citostáticos), ao aumentar o tempo de vida de hospedeiros com comorbilidades debilitantes. Os antibióticos são um dos elos essenciais no tratamento da infeção. Contudo o seu uso também promove a seleção e crescimento de bactérias resistentes. Para além disso as doses convencionais de antibióticos foram selecionadas numa altura em que a resistência era um fenómeno raro e podem não ser atualmente as mais adequadas. Existe hoje muita evidência acumulada que os doentes críticos sofrem alterações da sua farmacocinética (PK) que podem facilitar a ocorrência de falência terapêutica ou de toxicidade tanto por sub como por sobredosagem de antibióticos. Essas alterações são complexas e difíceis de estudar. Finalmente, também a farmacodinâmica (PD) dos antibióticos pode estar alterada nesta população, podendo haver necessidade de ajustar os alvos terapêuticos de forma individual. O objetivo deste trabalho foi investigar a relação entre a terapêutica antibiótica, as suas características PK e PD, a carga bacteriana e o prognóstico dos doentes críticos. O plano de investigação incluiu: 1. Dados da epidemiologia portuguesa de doentes críticos com infeção; 2. Avaliação da relação entre a carga bacteriana, o tempo até ao início do tratamento antibiótico e o prognóstico dos doentes críticos; 3. Avaliação da evolução da PK durante o tratamento da infeção; 4. Um estudo multicêntrico para avaliação da eficácia da terapêutica com um β- lactâmico doseado de acordo com a relação PK/PD. Na introdução é descrita a importância dos antibióticos, a sua origem e o problema crescente das resistências bacterianas relacionadas com o seu emprego e abuso. É salientada a importância de racionalizar a posologia, de acordo com os conceitos de PK e de PD. No Capítulo 1 são apresentados dados de epidemiologia portuguesa de infeção em doentes críticos, sobretudo retirados de dois estudos prospetivos, observacionais, os quais incluíram mais de 50% da capacidade de internamento em cuidados intensivos existente em Portugal. No Capítulo 2 são descritos os conceitos de PK e as suas alterações nos doentes críticos. De seguida são revistos os conceitos de PD de antibióticos e a sua aplicação a esta população, em particular durante as infeções graves (Capítulo 3). Nos capítulos seguintes são aprofundadas estas alterações da PK nos doentes críticos e as suas causas, de forma a destacar a importância da monitorização da concentração dos antibióticos. São apresentados os dados duma revisão sistemática de PK de antibóticos nesta população (Capítulo 4), pormenorizadas as alterações da PD que comprometem a eficácia da terapêutica antibiótica, facilitam o desenvolvimento de resistências e podem levar a falência terapêutica (Capítulo 5). Consequentemente a compreensão global destas alterações, da sua relevância clínica e a revisão da evidência disponível facilitou o desenvolvimento do próprio plano global de investigação (Capítulos 6 e 7). No Capítulo 6.1 são descritos os antibióticos tempo-dependente e a importância de aumentar o seu tempo de perfusão. Foi desenhado um estudo multicêntrico para comparar a eficácia e segurança da perfusão contínua da piperacilina tazobactam (um antibiótico β-lactâmico associado a um inibidor de β-lactamases) com a mesma dose do antibiótico, administrado em dose convencional, intermitente. A importância de dosear corretamente os antibióticos concentração-dependente foi também avaliada num estudo a primeira dose dos aminoglicosídeos (Capítulo 6.2). Outras estratégias para melhorar os resultados assistenciais dos doentes infetados são abordadas no Capítulo 7, em particular a importância da terapêutica antibiótica precoce, a avaliação da carga bacteriana e a compreensão da variação da PK ao longo do tratamento da infeção. Foi desenvolvido um algoritmo de abordagem terapêutica que incluiu estas alterações da PK e da PD nos doentes críticos. Finalmente no Capítulo 8 são descritos mecanismos de desenvolvimento das resistências bacterianas bem como estratégias para a sua abordagem. O Capítulo final (Capítulo 9) aponta um plano para futuras áreas de trabalho. O elemento chave identificado neste trabalho de investigação é o reconhecimento da variabilidade significativa da PK dos antibióticos durante a doença crítica, a qual condiciona a sua posologia. Estas alterações estão relacionadas com a própria gravidade da doença e tendem a diminuir ao longo do seu tratamento. No entanto nem a gravidade da doença nem as características individuais as permitem prever de forma aceitável pelo que a utilização duma posologia universal, independente da situação clínica concreta, pode ser inadequada. As estratégias para melhorar os resultados assistenciais dos doentes críticos infetados devem ser baseadas na individualização da posologia antibiótica de acordo com os princípios da PK e da PD, preferencialmente apoiadas em doseamentos da sua concentração. ------------------------------------ ABSTRACT: Infection commonly occurred during critical illness, either as a cause or complicating the course of the disease. Advances in medicine had paradoxically increase the risk of infection, both by improving survival to older ages and by introducing a new group of immunosuppressed patients, those who are treated with drugs that interfere with their natural defenses (corticosteroids, cytostatics) and those who survived longer with aggressive diseases. Antibiotics are of paramount importance for treating infection. However the use of these drugs also promote the selection and growth of resistant bacteria. Furthermore conventional antibiotic doses were calculated for less severe patients during a time when resistance was rare. Nowadays there is increasing evidence that critically ill patients experiment altered pharmacokinetics (PK) that may lead to therapeutic failure and/or drug toxicity. Equally, such PK alterations are complex and challenging to investigate. Finally pharmacodynamics (PD) may also be different in this population and antibiotic targets may need to be tailored to the individual patient. The aim of this research was to investigate the relationship between antibiotic therapy, its PK and PD, bacterial burden and critically ill patients outcomes. The research plan comprised of: 1. Epidemiological portuguese data of critically ill infected patients; 2. Relationship between burden of bacteria, time until the start of antibiotics and patient outcomes; 3. Evaluation of PK during treatment of infection; 4. A multicentre study evaluating PK guided β-lactam therapy. The introductory chapter outlines the importance of antibiotics, its origins, the problem of increasing bacteria resistance, related to its use and overuse and the importance of rational drug dosing using PK and PD concepts. In Chapter 1 portuguese epidemiological data of infections in critically ill patients is presented, mostly coming from two prospective observational studies, encompassing more than 50% of critically ill beds available in Portugal. Chapter 2 describes the concepts of PK and the changes occurring in critically ill patients. This is followed by a review of the concepts of PD of antibiotics and its application to this population, especially during severe infections (Chapter 3). In the following chapter these changes in antibiotics PK in critical illness are and its causes are detailed, to outline the importance of therapeutic drug monitoring. Data on a systematic review of antibiotics PK in those patients is provided (Chapter 4). The following chapter (Chapter 5) elucidates important changes in PD, that compromises antibiotic therapy, facilitate the occurrence of resistance and may lead to therapeutic failure. Thus, an understanding of the clinical problem and available evidence facilitated the development of a comprehensive research plan (Chapter 6 and Chapter 7). Chapter 6.1 describes time-dependent antibiotics and the importance of extending its perfusion time. A multicenter study was designed to compare the continuous infusion of piperacillin tazobactam (a β-lactam antibiotic) with the same daily dose, prescribed in a conventional, intermittent dose. The importance of correct dosing of antibiotics was also assessed through a study addressing aminoglycoside (a concentration-dependent antibiotic) therapy (Chapter 6.2), focusing on its first dose. Strategies to improve severe infected patients outcomes were addressed in Chapter 7, namely the importance of early antibiotic therapy, assessing the burden of bacteria and understanding changes in antibiotic concentration during the course of infection. An algorithm to include all the described changes in both PK and PD of critically ill patients was developed. Finally in Chapter 8 mechanisms of the increasing resistance of bacteria are described and strategies to address that problem are proposed. The closing chapter (Chapter 9) lays a roadmap for future work. The key finding of this research is the significant variability of the antibiotics PK during critical illness, which makes dosing a challenging issue. These changes are related to the severity of the infection itself and improve through the course of the disease. However neither disease severity nor individual characteristics are useful to predict PK changes. Therefore, the use of a universal dose approach, regardless of the individual patient, may not be the best approach. Strategies to improve patients’ outcomes should be based on tailoring antibiotics to the individual patient, according to PK and PD principles, preferentially supported by therapeutic drug monitoring.

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The Symbolic Aggregate Approximation (iSAX) is widely used in time series data mining. Its popularity arises from the fact that it largely reduces time series size, it is symbolic, allows lower bounding and is space efficient. However, it requires setting two parameters: the symbolic length and alphabet size, which limits the applicability of the technique. The optimal parameter values are highly application dependent. Typically, they are either set to a fixed value or experimentally probed for the best configuration. In this work we propose an approach to automatically estimate iSAX’s parameters. The approach – AutoiSAX – not only discovers the best parameter setting for each time series in the database, but also finds the alphabet size for each iSAX symbol within the same word. It is based on simple and intuitive ideas from time series complexity and statistics. The technique can be smoothly embedded in existing data mining tasks as an efficient sub-routine. We analyze its impact in visualization interpretability, classification accuracy and motif mining. Our contribution aims to make iSAX a more general approach as it evolves towards a parameter-free method.

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According to epidemiological data, Candida tropicalis has been related to urinary tract infections and haematological malignancy. Several virulence factors seem to be responsible for C. tropicalis infections, for example: their ability to adhere and to form biofilms onto different indwelling medical devices; their capacity to adhere, invade and damage host human tissues due to enzymes production such as proteinases. The main aim of this work was to study the behaviour of C. tropicalis biofilms of different ages (24120 h) formed in artificial urine (AU) and their ability to express aspartyl proteinase (SAPT) genes. The reference strain C. tropicalis ATCC 750 and two C. tropicalis isolates from urine were used. Biofilms were evaluated in terms of culturable cells by colony-forming units enumeration; total biofilm biomass was evaluated using the crystal violet staining method; metabolic activity was evaluated by XTT assay; and SAPT gene expression was determined by real-time PCR. All strains of C. tropicalis were able to form biofilms in AU, although with differences between strains. Candida tropicalis biofilms showed a decrease in terms of the number of culturable cells from 48 to 72 h. Generally, SAPT3 was highly expressed. C. tropicalis strains assayed were able to form biofilms in the presence of AU although in a strain- and time-dependent way, and SAPT genes are expressed during C. tropicalis biofilm formation.

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OBJECTIVE: To characterize left ventricular regional myocardial function through tissue Doppler echocardiography in healthy adults and to assess the influence of aging in this function. METHODS: In 45 healthy volunteers divided in two groups (< 45 and > 45 years old) we assessed longitudinal and radial regional function (velocities, times intervals and velocity-time integrals). Data were compared in each group and between groups. RESULTS: Systolic function: a) longitudinal: higher velocities and integrals in lateral and inferior walls and in basal segments, with a trend to reduction of these parameters with aging; b) radial: higher basal velocities, no significant change with aging. Diastolic function: a) longitudinal: higher velocities in lateral and inferior walls and in basal segments. With aging e and e/a velocities and integrals decreased, a increased and older individuals showed lower percentage of segments with e/a >1; b) radial: aging was associated with lower e and higher a velocities. CONCLUSION: 1) Tissue Doppler echocardiography detects physiological differences between regional myocardial function of different ventricular segments, in velocities, times intervals and integrals, with physiological heterogeneity and asynchrony; 2) Many of these data are age dependent; 3) Our data contribute to define normal values, and may become useful when compared with data from populations with heart diseases.

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RATIONALE: A dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis is a well-documented neurobiological finding in major depression. Moreover, clinically effective therapy with antidepressant drugs may normalize the HPA axis activity. OBJECTIVE: The aim of this study was to test whether citalopram (R/S-CIT) affects the function of the HPA axis in patients with major depression (DSM IV). METHODS: Twenty depressed patients (11 women and 9 men) were challenged with a combined dexamethasone (DEX) suppression and corticotropin-releasing hormone (CRH) stimulation test (DEX/CRH test) following a placebo week and after 2, 4, and 16 weeks of 40 mg/day R/S-CIT treatment. RESULTS: The results show a time-dependent reduction of adrenocorticotrophic hormone (ACTH) and cortisol response during the DEX/CRH test both in treatment responders and nonresponders within 16 weeks. There was a significant relationship between post-DEX baseline cortisol levels (measured before administration of CRH) and severity of depression at pretreatment baseline. Multiple linear regression analyses were performed to identify the impact of psychopathology and hormonal stress responsiveness and R/S-CIT concentrations in plasma and cerebrospinal fluid (CSF). The magnitude of decrease in cortisol responsivity from pretreatment baseline to week 4 on drug [delta-area under the curve (AUC) cortisol] was a significant predictor (p<0.0001) of the degree of symptom improvement following 16 weeks on drug (i.e., decrease in HAM-D21 total score). The model demonstrated that the interaction of CSF S-CIT concentrations and clinical improvement was the most powerful predictor of AUC cortisol responsiveness. CONCLUSION: The present study shows that decreased AUC cortisol was highly associated with S-CIT concentrations in plasma and CSF. Therefore, our data suggest that the CSF or plasma S-CIT concentrations rather than the R/S-CIT dose should be considered as an indicator of the selective serotonergic reuptake inhibitors (SSRIs) effect on HPA axis responsiveness as measured by AUC cortisol response.

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Abstract Market prices of corporate bond spreads and of credit default swap (CDS) rates do not match each other. In this paper, we argue that the liquidity premium, the cheapest-to-deliver (CTD) option and actual market segmentation explain the pricing differences. Using the European transaction data from Reuters and Bloomberg, we estimate the liquidity premium that is time- varying and firm-specific. We show that when time-dependent liquidity premiums are considered, corporate bond spreads and CDS rates behave in a much closer way than previous studies have shown. We find that high equity volatility drives pricing differences that can be explained by the CTD option.

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The paper investigates the role of real exchange rate misalignment on long-run growth for a set of ninety countries using time series data from 1980 to 2004. We first estimate a panel data model (using fixed and random effects) for the real exchange rate, with different model specifications, in order to produce estimates of the equilibrium real exchange rate and this is then used to construct measures of real exchange rate misalignment. We also provide an alternative set of estimates of real exchange rate misalignment using panel cointegration methods. The variables used in our real exchange rate models are: real per capita GDP; net foreign assets; terms of trade and government consumption. The results for the two-step System GMM panel growth models indicate that the coefficients for real exchange rate misalignment are positive for different model specification and samples, which means that a more depreciated (appreciated) real exchange rate helps (harms) long-run growth. The estimated coefficients are higher for developing and emerging countries.

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The aim of this study is to investigate the influence of unusual writing positions on a person's signature, in comparison to a standard writing position. Ten writers were asked to sign their signature six times, in each of four different writing positions, including the standard one. In order to take into consideration the effect of the day-to-day variation, this same process was repeated over 12 sessions, giving a total of 288 signatures per subject. The signatures were collected simultaneously in an off-line and on-line acquisition mode, using an interactive tablet and a ballpoint pen. Unidimensional variables (height to width ratio; time with or without in air displacement) and time-dependent variables (pressure; X and Y coordinates; altitude and azimuth angles) were extracted from each signature. For the unidimensional variables, the position effect was assessed through ANOVA and Dunnett contrast tests. Concerning the time-dependent variables, the signatures were compared by using dynamic time warping, and the position effect was evaluated through classification by linear discriminant analysis. Both of these variables provided similar results: no general tendency regarding the position factor could be highlighted. The influence of the position factor varies according to the subject as well as the variable studied. The impact of the session factor was shown to cover the impact that could be ascribed to the writing position factor. Indeed, the day-to-day variation has a greater effect than the position factor on the studied signature variables. The results of this study suggest guidelines for best practice in the area of signature comparisons and demonstrate the importance of a signature collection procedure covering an adequate number of sampling sessions, with a sufficient number of samples per session.

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Whole-body (WB) planar imaging has long been one of the staple methods of dosimetry, and its quantification has been formalized by the MIRD Committee in pamphlet no 16. One of the issues not specifically addressed in the formalism occurs when the count rates reaching the detector are sufficiently high to result in camera count saturation. Camera dead-time effects have been extensively studied, but all of the developed correction methods assume static acquisitions. However, during WB planar (sweep) imaging, a variable amount of imaged activity exists in the detector's field of view as a function of time and therefore the camera saturation is time dependent. A new time-dependent algorithm was developed to correct for dead-time effects during WB planar acquisitions that accounts for relative motion between detector heads and imaged object. Static camera dead-time parameters were acquired by imaging decaying activity in a phantom and obtaining a saturation curve. Using these parameters, an iterative algorithm akin to Newton's method was developed, which takes into account the variable count rate seen by the detector as a function of time. The algorithm was tested on simulated data as well as on a whole-body scan of high activity Samarium-153 in an ellipsoid phantom. A complete set of parameters from unsaturated phantom data necessary for count rate to activity conversion was also obtained, including build-up and attenuation coefficients, in order to convert corrected count rate values to activity. The algorithm proved successful in accounting for motion- and time-dependent saturation effects in both the simulated and measured data and converged to any desired degree of precision. The clearance half-life calculated from the ellipsoid phantom data was calculated to be 45.1 h after dead-time correction and 51.4 h with no correction; the physical decay half-life of Samarium-153 is 46.3 h. Accurate WB planar dosimetry of high activities relies on successfully compensating for camera saturation which takes into account the variable activity in the field of view, i.e. time-dependent dead-time effects. The algorithm presented here accomplishes this task.

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This study described the demographic and medical characteristics of a population of patients with HIV/AIDS attending the department of Genito-Urinary Medicine (GUM) at a major Dublin hospital. The study population's utilisation of statutory and voluntary medical and social services at primary care level, satisfaction with services received and perceived need for services examined. The information obtained was used to make recommendations concerning the provision of care to patients with HIV/AIDS. The study was carried out between February and November 1994. Data was collected from a consecutive sample of eighty inpatients using n interviewer-administered questionnaire which contained both closed and open questions. The first forty patients interviewed were reviewed six months following the initial interview to document changes in physical condition and uptake of medical services over that time period. Data for the second part of the study was obtained by review of the patients' medical case notes and interview with the individual hospital medical social worker assigned to each patient. Over ninety percent of respondents were from the Greater Dublin Area. Almost three quarters were intravenous drug users (IVDUs), and the majority of these patients came from south inner city Dublin. The methodology was biased towards sampling patients with advanced disease and 73% had CDC Stage 4 disease. Twenty percent required some assistance with the activities of daily living when first interviewed. Most were reliant on informal carers. Social and physical dependency increased substantially over the six month period of the follow-up study of forty patients. Financial difficulties were identified as a particular area of need. Only ten percent of those interviewed were in current employment and over 80% were dependent on statutory payments. There is a need for greater co-ordination between the providers of services to patients HIV/AIDS and an improved system of data collection regarding patients' uptake of services and unmet needs is required to assist in future service planning.This resource was contributed by The National Documentation Centre on Drug Use.

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Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants

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Aquaporin-1 (AQP1) is a water channel that is highly expressed in tissues with rapid O(2) transport. It has been reported that this protein contributes to gas permeation (CO(2), NO and O(2)) through the plasma membrane. We show that hypoxia increases Aqp1 mRNA and protein levels in tissues, namely mouse brain and lung, and in cultured cells, the 9L glioma cell line. Stopped-flow light-scattering experiments confirmed an increase in the water permeability of 9L cells exposed to hypoxia, supporting the view that hypoxic Aqp1 up-regulation has a functional role. To investigate the molecular mechanisms underlying this regulatory process, transcriptional regulation was studied by transient transfections of mouse endothelial cells with a 1297 bp 5' proximal Aqp1 promoter-luciferase construct. Incubation in hypoxia produced a dose- and time-dependent induction of luciferase activity that was also obtained after treatments with hypoxia mimetics (DMOG and CoCl(2)) and by overexpressing stabilized mutated forms of HIF-1α. Single mutations or full deletions of the three putative HIF binding domains present in the Aqp1 promoter partially reduced its responsiveness to hypoxia, and transfection with Hif-1α siRNA decreased the in vitro hypoxia induction of Aqp1 mRNA and protein levels. Our results indicate that HIF-1α participates in the hypoxic induction of AQP1. However, we also demonstrate that the activation of Aqp1 promoter by hypoxia is complex and multifactorial and suggest that besides HIF-1α other transcription factors might contribute to this regulatory process. These data provide a conceptual framework to support future research on the involvement of AQP1 in a range of pathophysiological conditions, including edema, tumor growth, and respiratory diseases.

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Paracoccidioidomycosis presents a variety of clinical manifestations and Paracoccidioides brasiliensis can reach many tissues, most importantly the lungs. The ability of the pathogen to interact with host surface structures is essential to its virulence. The interaction between P. brasiliensis and epithelial cells has been studied, with particular emphasis on the induction of apoptosis. To investigate the expression of different apoptosis-inducing pathways in human A549 cells, we infected these cells with P. brasiliensis Pb18SP (subcultured) and 18R (recently isolated from cell culture and showing a high adhesion pattern) samples in vitro. The expressions of Bcl-2, Bak and caspase 3 were analysed by flow cytometry and DNA fragmentation using the TUNEL technique. Apoptosis of human A549 cells was induced by P. brasiliensis in a sample and time-dependent manner. Using an in vitro model, our data demonstrates that caspase 3, Bak, Bcl-2 and DNA fragmentation mediate P. brasiliensis-induced apoptosis in A549 cells. The overall mechanism is a complex process, which may involve several signal transduction pathways. These findings could partially explain the efficient behaviour of this fungus in promoting tissue infection and/or blood dissemination.

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In 2000 the European Statistical Office published the guidelines for developing theHarmonized European Time Use Surveys system. Under such a unified framework,the first Time Use Survey of national scope was conducted in Spain during 2002–03. The aim of these surveys is to understand human behavior and the lifestyle ofpeople. Time allocation data are of compositional nature in origin, that is, they aresubject to non-negativity and constant-sum constraints. Thus, standard multivariatetechniques cannot be directly applied to analyze them. The goal of this work is toidentify homogeneous Spanish Autonomous Communities with regard to the typicalactivity pattern of their respective populations. To this end, fuzzy clustering approachis followed. Rather than the hard partitioning of classical clustering, where objects areallocated to only a single group, fuzzy method identify overlapping groups of objectsby allowing them to belong to more than one group. Concretely, the probabilistic fuzzyc-means algorithm is conveniently adapted to deal with the Spanish Time Use Surveymicrodata. As a result, a map distinguishing Autonomous Communities with similaractivity pattern is drawn.Key words: Time use data, Fuzzy clustering; FCM; simplex space; Aitchison distance