Search results for "multidimensional"
showing 10 items of 181 documents
Mismatches between objective parameters and measured perception assessment in room acoustics: a holistic approach
2014
Psychoacoustic research in the field of concert halls has revealed that many aspects concerning listening perception have yet to be totally understood. On the one hand, the objective room acoustics of performance spaces are reflected in parameters, some standardized and some not, but these are related to a limited number of perceptual attributes of human response. In general, these objective parameters cannot accurately describe the acoustic details due to their inherent simplification. Under these premises, impulse responses (576 receivers) are measured in 16 concert halls, according to standard procedures, and the perception and satisfaction of the occupants of the rooms are evaluated by …
New insights into the reading of Paleozoic plant fossil record discontinuities
2011
Studying the discontinuity patterns of Paleozoic vascular plants provides a global vision of these key events from the multivariate methods viewpoint. Non-metric multidimensional scaling, detrended correspondence analysis and cluster analysis have been employed together with a set of diversity and abundance measures and an evaluation of the geologic constraints from the plant fossil record data. The results reveal four clear significant discontinuities in terms of taxonomic composition and record representativeness during the early-middle Devonian, Devonian–Carboniferous, Mississippian–Pennsylvanian and early-late Permian. Due to the controversial character of the plant fossil record data a…
Space-time FPCA Algorithm for clustering of multidimensional curves.
2016
In this paper we focus on finding clusters of multidimensional curves with spatio-temporal structure, applying a variant of a k-means algorithm based on the principal component rotation of data. The main advantage of this approach is to combine the clustering functional analysis of the multidimensional data, with smoothing methods based on generalized additive models, that cope with both the spatial and the temporal variability, and with functional principal components that takes into account the dependency between the curves.
Principal components for multivariate spatiotemporal functional data
2014
Multivariate spatio-temporal data consist of a three way array with two dimensions’ domains both structured, temporally and spatially; think for example to a set of different pollutant levels recorded for a month/year at different sites. In this kind of dataset we can recognize time series along one dimension, spatial series along another and multivariate data along the third dimension. Statistical techniques aiming at handling huge amounts of information are very important in this context and classical dimension reduction techniques, such as Principal Components, are relevant, allowing to compress the information without much loss. Although time series, as well as spatial series, are recor…
Construcció i validació d'instruments per avaluar competències genèriques, en educació superior
2019
espanolSe presenta una alternativa de evaluacion para las competencias genericas que se desarrolan en educacion superior, considerando su caracteristica de multidimensionalidad. Se construyen instrumentos para evaluar la dimension cognitiva, afectiva y conductual del pensamiento critico, comunicaciom, iniciativa emprendedora y trabajo en equipo y, responsabilidad social. Se analiza su validez de constructo, por medio del anaaisis factorial exploratorio y confiabilidad, a traves del calculo del coeficiente de consistencia interna –alfa de Cronbach– de una muestra de 493 estudiants de primer ano de carrera, durant 2015. Los resultados sugieren que se dispone de instrumentos confiables y va- l…
Multidimensional prognostic index (MPI) predicts successful application for disability social benefits in older people
2020
Aim: The economic recognition of disability is of importance in daily practice, but the tools used in older people are still limited. Therefore, we aimed to investigate the effectiveness of the multidimensional prognostic index (MPI) to identify frail older subjects to be submitted to civil invalidity application for disability benefits including Attendance Allowance (AA) indemnity, Carer’s Leave (Law 104) and/or Parking Card for people with disabilities. Methods: From March 2018 to January 2019, 80 older people were included. The MPI was calculated from comprehensive geriatric assessment information including eight different domains. Civil benefits included attendance allowance (AA) indemn…
Prevalence of multidimensional frailty and pre-frailty in older people in different settings: A systematic review and meta-analysis.
2021
Frailty is a common condition in older people. The epidemiological data available, however, are mainly based on the physical frailty phenotype. An extensive literature has suggested that frailty should be identified using a multidimensional approach. Based on these recommendations, we estimated the prevalence of frailty and pre-frailty in the older population, using the multidimensional prognostic index (MPI), a common tool for defining multidimensional frailty. We searched several databases until 10th May 2021 for studies reporting the prevalence of frailty according to MPI values. MPI was categorized, where possible, in < 0.33 (robustness), 0.33–0.66 (pre-frailty) and > 0.66 (frailt…
Multidimensional Frailty Predicts Mortality Better than Physical Frailty in Community-Dwelling Older People: A Five-Year Longitudinal Cohort Study
2021
Frailty is a common syndrome in older people that carries an increased risk of mortality. Two main models describe frailty, either as a loss of physical functions or as an accumulation of multiple deficits. The aim of our study was to compare the physical frailty index developed in the Cardiovascular Health Study (CHS) with a multidimensional frailty tool, the Multidimensional Prognostic Index (MPI), in predicting death in community-dwelling older subjects. Four hundred and seven community-dwelling older subjects were enrolled. Each subject underwent a comprehensive geriatric assessment (CGA) with calculation of the MPI and CHS index. Mortality was recorded over the following 5 years. In th…
The Latvian version of the Juvenile Arthritis Multidimensional Assessment Report (JAMAR).
2017
The Juvenile Arthritis Multidimensional Assessment Report (JAMAR) is a new parent/patient reported outcome measure that enables a thorough assessment of the disease status in children with juvenile idiopathic arthritis (JIA). We report the results of the cross-cultural adaptation and validation of the parent and patient versions of the JAMAR in the Latvian language. The reading comprehension of the questionnaire was tested in 10 JIA parents and patients. Each participating centre was asked to collect demographic, clinical data and the JAMAR in 100 consecutive JIA patients or all consecutive patients seen in a 6-month period and to administer the JAMAR to 100 healthy children and their paren…
Glycated Albumin for Glycemic Control in T2DM Population: A Multi-Dimensional Evaluation.
2021
Lucrezia Ferrario,1 Fabrizio Schettini,1 Angelo Avogaro,2 Chiara Bellia,3 Federico Bertuzzi,4 Graziella Bonetti,5 Antonio Ceriello,6 Marcello Ciaccio,3,7 Massimiliano Corsi Romanelli,8,9 Elena Dozio,9 Luca Falqui,10 Angela Girelli,11 Antonio Nicolucci,12 Gianluca Perseghin,13,14 Mario Plebani,15 Umberto Valentini,11 Martina Zaninotto,15 Silvana Castaldi,9,16 Emanuela Foglia1 1Centre for Health Economics, Social and Health Care Management, Universit&agrave; Carlo Cattaneo - LIUC, Castellanza, Italy; 2Department of Medicine, University-Hospital of Padova, Padova, Italy; 3Section of Clinical Biochemistry and Clinical Molecular Medicine, Department of Biopathology and Medical Biotechnologie…