Search results for "Data interpretation"

Left Ventricular Hypertrophy in the Spanish Hypertensive Population. The ERIC-HTA Study

2006

Introduction and objectives. Left ventricular hypertrophy (LVH) is the earliest manifestation of cardiac damage in hypertension. Its appearance is associated with a poor cardiovascular prognosis. The objectives of this study were to determine the prevalence of electrocardiographic LVH and to assess the epidemiological characteristics of hypertensive patients receiving primary care. Patients and method. A cross-sectional multicenter study of hypertensive patients aged 55 years or more was carried out in a primary care setting. Blood pressure was measured using the standard method. Cardiovascular history was determined from medical records and LVH was assessed electrocardiographically using C…

Differential involvement of the left frontal and temporal regions in verb naming: A tDCS treatment study

2012

Purpose: In aphasic patients, some studies have already emphasized the efficacy of transcranial direct current stim- ulation (tDCS) during the treatment of noun retrieval deficits. To date, in the same population, there are have been no studies addressing tDCS effects in the recovery of verb retrieval deficits. In this study, we wanted to test the potential of tDCS to improve verb production in a group of aphasic patients. Methods: Seven chronic subjects participated in an intensive language training for their difficulties in action naming. Each subject was treated with tDCS (20 min., 1 mA) over the left hemisphere in three different conditions: anodic tDCS over Wernicke's area, anodic tDCS…

Population modelling to describe pharmacokinetics of amiodarone in rats: Relevance of plasma protein and tissue depot binding

2007

The objective of this paper was to characterize the disposition phase of AM in rats, after different high doses and modalities of i.v. administration. Three fitting programs, WINNONLIN, ADAPT II and NONMEM were employed. The two-stage fitting methods led to different results, none of which can adequately explain amiodarone's behaviour, although a great amount of data per subject is available. The non-linear mixed effect modelling approach allows satisfactory estimation of population pharmacokinetic parameters, and their respective variability. The best model to define the AM pharmacokinetic profile is a two-compartment model, with saturable and dynamic plasma protein binding and linear tiss…

Weighted Least-Squares Likelihood Ratio Test for Branch Testing in Phylogenies Reconstructed from Distance Measures

2005

A variety of analytical methods is available for branch testing in distance-based phylogenies. However, these methods are rarely used, possibly because the estimation of some of their statistics, especially the covariances, is not always feasible. We show that these difficulties can be overcome if some simplifying assumptions are made, namely distance independence. The weighted least-squares likelihood ratio test (WLS-LRT) we propose is easy to perform, using only the distances and some of their associated variances. If no variances are known, the use of the Felsenstein F-test, also based on weighted least squares, is discussed. Using simulated data and a data set of 43 mammalian mitochondr…

Interface Molecular engineering for laminated monolithic perovskite/silicon tandem solar cells with 80.4% fill factor

2019

The Cluster of Excellence funded this work through “Engineering of Advanced Materials” (EAM). The authors acknowledge financial support from the DFG research-training group GRK 1896 at Erlangen University and from the Joint Project Helmholtz-Institute Erlangen Nurnberg (HI-ERN) under Project No. DBF01253, respectively. C.J.B. acknowledges the financial support through the “Aufbruch Bayern” initiative of the state of Bavaria (EnCN and Solar Factory of the Future) and the “Solar Factory of the Future” with the Energy Campus Nurnberg (EnCN). S.L. acknowledges the Real Colegio Complutense in Harvard for a research grant, and to the Spanish Ministerio de Ciencia e Innovacion for a fellowship thr…

Parametric and nonparametric methods to generate time-varying surrogate data.

2009

We present both nonparametric and parametric approaches to generating time-varying surrogate data. Nonparametric and parametric approaches are based on the use of the short-time Fourier transform and a time-varying autoregressive model, respectively. Time-varying surrogate data (TVSD) can be used to determine the statistical significance of the linear and nonlinear coherence function estimates. Two advantages of the TVSD are that it keeps one from having to make an arbitrary decision about the significance of the coherence value, and it properly takes into account statistical significance levels, which may change with time. Our simulation examples and experimental results on blood pressure …

A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

2009

In this paper, we discuss the idea of incorporating preference information into evolutionary multi-objective optimization and propose a preference-based evolutionary approach that can be used as an integral part of an interactive algorithm. One algorithm is proposed in the paper. At each iteration, the decision maker is asked to give preference information in terms of his or her reference point consisting of desirable aspiration levels for objective functions. The information is used in an evolutionary algorithm to generate a new population by combining the fitness function and an achievement scalarizing function. In multi-objective optimization, achievement scalarizing functions are widel…

2020

The composition of phytoplankton community is the basis for environmental monitoring and assessment of the ecological status of aquatic ecosystems. Community composition studies of phytoplankton have been based on time-consuming and expertise-demanding light microscopy analyses. Molecular methods have the potential to replace microscopy, but the high copy number variation of ribosomal genes and the lack of universal primers for simultaneous amplification of prokaryotic and eukaryotic genes complicate data interpretation. In this study, we used our previously developed directional primer-independent high-throughput sequencing (HTS) approach to analyze 16S and 18S rRNA community structures. C…

Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

2012

Item does not contain fulltext The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance (MR) imaging, we can investigate the effect of AD on the morphology of the hippocampus. The hippocampal shape variations among a population can be usually described using statistical shape models (SSMs). Conventional SSMs model the modes of variations among the population via principal component analysis (PCA). Although these modes are representative of variations within the training data, they are not necessarily discriminative on labeled data or relevant to the differences between the subpopulations. We use the shape des…

Data analysis method for evaluating dialogic learning

2001

Abstract The purpose of this paper is to introduce a new method of analysing and evaluating dialogic learning. Dialogic learning offers possibilities that have not previously been found in nursing or nursing education, although some nursing researchers have lately become interested in dialogic nursing interaction between nurses and patients. The stages of analysis of dialogic learning have been illustrated by using an example. The data for this illustration were collected by video-taping a planning process where students for a Master’s degree (qualifying them to be nursing instructors in Finland) plan, implement and evaluate a course for nursing students, on the care of terminally ill patie…