795 resultados para label hierarchical clustering
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OBJECTIVE: To evaluate the efficacy and tolerability of telmisartan, given once a day to patients with mild to moderate hypertension, as well as to assess the 24-hour blood pressure profile with ABPM. METHODS: Initially, 163 patients over 18 were selected, regardless of sex, with blood pressure levels >140/90mmHg at visit 1, which was confirmed at visit 2. One hundred thirty-four patients completed the study. After a 4-week placebo run-in phase, telmisartan 40mg/daily was given for 6 weeks. In those patients whose blood pressure (BP) levels were lower than 140/90mmHg, the same dosage was kept for an additional period of 6 weeks. For those who had BP higher than 140/90mmHg, the dosage was increased to 80mg/daily. Sixty-two patients were included in a subgroup that underwent ABPM 3 different times during the study. RESULTS: In the overall group, blood pressure reduction ranged from 162.3±14.5/101.3±5.75 mmHg (baseline) to 147.3±20.1/90.8±10.9 mmHg (week 12) (p<0.05). Mean blood pressure decreases were 14.4mmHg for systolic BP and 10.3mmHg for diastolic BP, after 12 weeks of active treatment. A subanalysis showed that 47 (35%) patients took telmisartan 40mg throughout the study and 81 (65%) had the dosage increased to 80mg daily. Using ABPM, an 8-mmHg reduction in systolic BP as well as a 5-mmHg reduction in diastolic BP were observed, when compared with baseline values in the final 6 hours (18-24 hours after the last dose of study medication). CONCLUSION: Our results confirm that telmisartan given once a day is effective in reducing blood pressure levels in mild to moderate hypertensive patients. This reduction occurs in a sustained and gradual manner during a 24-hour period confirmed by ABPM.
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La explotación comercial de la llama facilita la aparición de patologías bacterianas y parasitarias que producen importantes pérdidas económicas. Su prevención y el tratamiento exigen establecer regímenes terapéuticos eficaces y seguros que eviten la aparición de resistencias. La ausencia de especialidades farmacéuticas propias para esta especie y la falta de información científica sobre el comportamiento de los fármacos de uso habitual en llamas, obligan al veterinario a establecer pautas terapéuticas “fuera de prospecto”, a partir de su experiencia en otras especies. Esto conlleva el riesgo de alcanzar o bien niveles tóxicos o bien sub-terapéuticos, estos últimos facilitan la aparición de resistencias bacterianas transmisibles a otras poblaciones. Pretendemos describir el comportamiento cinético de dos antimicrobianos de amplio espectro y uso exclusivo en veterinaria (enrofloxacina y marbofloxacina). Los datos obtenidos nos permitirán evaluar la seguridad y eficacia de diferentes regímenes terapéuticos que puedan dar respuesta a las necesidades clínicas en esta especie. El proyecto que abordamos se encuentra en una línea de aprovechamiento de los recursos naturales dentro de un espíritu de compromiso social, desarrollo sostenible, bienestar animal y salud pública.
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Data analysis, fuzzy clustering, fuzzy rules, air traffic management
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Magdeburg, Univ., Fak. für Informatik, Habil.-Schr., 2006
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Magdeburg, Univ., Fak. für Informatik, Diss., 2012
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[s.c.]
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Magdeburg, Univ., Fak. für Inf., Diss., 2014
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Magdeburg, Univ., Fak. für Mathematik, Diss., 2015
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...In dieser Arbeit untersuche ich den ”Fluch der Dimensionen” mittels dem Begriff der Distanzkonzentration. Ich zeige, dass dieser Effekt im Datenmodell mittels der paarweisen Kovarianzkoeffizienten der Randverteilungen beschrieben werden kann. Zusätzlich vergleiche ich 10 prototypbasierte Clusteralgorithmen mittels 800.000 Clusterergebnissen von künstlich erzeugten Datensätzen. Ich erforsche, wie und warum Clusteralgorithmen von der Anzahl der Merkmale beeinflusst werden. Mit den Clusterergebnissen untersuche ich außerdem, wie gut 5 der populärsten Clusterqualitätsmaße die tatsächliche Clusterqualität schätzen.
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The long term goal of this research is to develop a program able to produce an automatic segmentation and categorization of textual sequences into discourse types. In this preliminary contribution, we present the construction of an algorithm which takes a segmented text as input and attempts to produce a categorization of sequences, such as narrative, argumentative, descriptive and so on. Also, this work aims at investigating a possible convergence between the typological approach developed in particular in the field of text and discourse analysis in French by Adam (2008) and Bronckart (1997) and unsupervised statistical learning.
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Report for the scientific sojourn at the Department of Information Technology (INTEC) at the Ghent University, Belgium, from january to june 2007. All-Optical Label Swapping (AOLS) forms a key technology towards the implementation of All-Optical Packet Switching nodes (AOPS) for the future optical Internet. The capital expenditures of the deployment of AOLS increases with the size of the label spaces (i.e. the number of used labels), since a special optical device is needed for each recognized label on every node. Label space sizes are affected by the wayin which demands are routed. For instance, while shortest-path routing leads to the usage of fewer labels but high link utilization, minimum interference routing leads to the opposite. This project studies and proposes All-Optical Label Stacking (AOLStack), which is an extension of the AOLS architecture. AOLStack aims at reducing label spaces while easing the compromise with link utilization. In this project, an Integer Lineal Program is proposed with the objective of analyzing the softening of the aforementioned trade-off due to AOLStack. Furthermore, a heuristic aiming at finding good solutions in polynomial-time is proposed as well. Simulation results show that AOLStack either a) reduces the label spaces with a low increase in the link utilization or, similarly, b) uses better the residual bandwidth to decrease the number of labels even more.
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Memòria elaborada a partir d’una estada al projecte Proteus de la New York University entre abril i juny del 2007. Les tècniques de clustering poden ajudar a reduir la supervisió en processos d’obtenció de patrons per a Extracció d’Informació. Tanmateix, és necessari disposar d’algorismes adequats a documents, i aquests algorismes requereixen mesures adequades de similitud entre patrons. Els kernels poden oferir una solució a aquests problemes, però l’aprenentatge no supervisat requereix d’estrat`egies m´es astutes que l’aprenentatge supervisat per a incorporar major quantitat d’informació. En aquesta memòria, fruit de la meva estada de mes d’Abril al de Juny de 2007 al projecte. Proteus de la New York University, es proposen i avaluen diversos kernels sobre patrons. Ini- cialment s’estudien kernels amb una família de patrons restringits, i a continuació s’apliquen kernels ja usats en tasques supervisades d’Extracció d’Informació. Degut a la degradació del rendiment que experimenta el clustering a l’afegir informació irrellevant, els kernels se simpli- fiquen i es busquen estratègies per a incorporar-hi semàntica de forma selectiva. Finalment, s’estudia quin efecte té aplicar clustering sobre el coneixement semàntic com a pas previ al clustering de patrons. Les diverses estratègies s’avaluen en tasques de clustering de documents i patrons usant dades reals.
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We analyze and quantify co-movements in real effective exchange rates while considering the regional location of countries. More specifically, using the dynamic hierarchical factor model (Moench et al. (2011)), we decompose exchange rate movements into several latent components; worldwide and two regional factors as well as country-specific elements. Then, we provide evidence that the worldwide common factor is closely related to monetary policies in large advanced countries while regional common factors tend to be captured by those in the rest of the countries in a region. However, a substantial proportion of the variation in the real exchange rates is reported to be country-specific; even in Europe country-specific movements exceed worldwide and regional common factors.