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127 results on '"Reza Akbarinia"'

1. Zonal statistics datasets of climate indicators for Brazilian municipalities

Author

Raphael Saldanha, Reza Akbarinia, Marcel Pedroso, Victor Ribeiro, Carlos Cardoso, Eduardo H. M. Pena, Patrick Valduriez, and Fabio Porto

Subjects
climate indicators, lattice data, zonal statistics, Environmental sciences, GE1-350, Electronic computers. Computer science, QA75.5-76.95
Abstract

Climate trends and weather indicators are used in several research fields due to their importance in statistical modeling, frequently used as covariates. Usually, climate indicators are available as grid files with different spatial and time resolutions. The availability of a time series of climate indicators compatible with administrative boundaries is scattered in Brazil, not fully available for several years, and produced with diverse methodologies. In this paper, we propose time series of climate indicators for the Brazilian municipalities produced using zonal statistics derived from the ERA5-Land reanalysis indicators. As a result, we present datasets with zonal statistics of climate indicators with daily data, covering the period from 1950 to 2022.

Published
2024
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6. Development and psychometric assessment an instrument for investigating Women’s attitude toward home safety

Author

Jalil Nazari, Rasoul Ahmadpour-geshlagi, Golam Reza Akbarinia, Neda Gillani, Fatemeh Karimkhani, and Seyed Shamseddin Alizadeh

Subjects
Attitudes, Housewife, Home safety, Instrument, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Approximately half of the Iranian population are women, and they play a vital role in the home. The women’s attitude can play a critical role in the safety of homes. Best of our knowledge, there is not a valid and reliable instrument to measure their attitude toward home safety. So, the present study aimed to design a psychometrics tool to assess women’s attitudes toward home safety. Methods The researchers designed an instrument based on the home safety concept as the first instrument to measure housewives’ attitudes toward home safety. The developed instrument distributed among 686 women in Tabriz health centers. Content validity, confirmatory, and exploratory factor analysis were used to examine the construct validity, and Cronbach’s alpha and test-retest were employed to examine the reliability and reproducibility of the instrument. Results In the face validity section, the impact score of all items was determined to be above 1.5. In the content validity section, 4 items were excluded from the 39 questionnaire items due to low Content Validity Ratio (CVR). The mean CVR of all items was 0.842. By conducting exploratory factor analysis, it was found that the questionnaire has six dimensions. Three questions were removed from the study due to lack of connection with other items. Also, Cronbach’s alpha coefficient of the questionnaire is equal to 0.924, which indicates the appropriate reliability of the instrument. Conclusions This study aimed to develop a questionnaire to assess the safety attitudes of housewives toward home safety. It was found that the prepared tool has acceptable validity and reliability.

Published
2022
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12. Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.

Author

Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu 0003, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva 0003, Renan Souza 0001, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira 0001, Esther Pacitti, Fábio Porto 0001, and Dennis E. Shasha

Published
2018

43. P2P logging and timestamping for XWiki.

Author

Mounir Tlili, William Kokou Dedzoé, Esther Pacitti, Patrick Valduriez, Reza Akbarinia, Ludovic Dubost, Sergiu Dumitriu, Stéphane Laurière, Gérôme Canals, Pascal Molli, and Julien Maire

Published
2008
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49. Development and psychometric assessment an instrument for investigating Women’s attitude toward home safety

Author

Rasoul, Ahmadpour-Geshlagi, Golam Reza, Akbarinia, Neda, Gillani, Fatemeh, Karimkhani, Seyed Shamseddin, Alizadeh, and Jalil, Nazari

Subjects
Male, Attitude, Psychometrics, Surveys and Questionnaires, Public Health, Environmental and Occupational Health, Humans, Reproducibility of Results, Female, Iran
Abstract

Background Approximately half of the Iranian population are women, and they play a vital role in the home. The women’s attitude can play a critical role in the safety of homes. Best of our knowledge, there is not a valid and reliable instrument to measure their attitude toward home safety. So, the present study aimed to design a psychometrics tool to assess women’s attitudes toward home safety. Methods The researchers designed an instrument based on the home safety concept as the first instrument to measure housewives’ attitudes toward home safety. The developed instrument distributed among 686 women in Tabriz health centers. Content validity, confirmatory, and exploratory factor analysis were used to examine the construct validity, and Cronbach’s alpha and test-retest were employed to examine the reliability and reproducibility of the instrument. Results In the face validity section, the impact score of all items was determined to be above 1.5. In the content validity section, 4 items were excluded from the 39 questionnaire items due to low Content Validity Ratio (CVR). The mean CVR of all items was 0.842. By conducting exploratory factor analysis, it was found that the questionnaire has six dimensions. Three questions were removed from the study due to lack of connection with other items. Also, Cronbach’s alpha coefficient of the questionnaire is equal to 0.924, which indicates the appropriate reliability of the instrument. Conclusions This study aimed to develop a questionnaire to assess the safety attitudes of housewives toward home safety. It was found that the prepared tool has acceptable validity and reliability.

Published
2022

50. BestNeighbor: efficient evaluation of kNN queries on large time series databases

Author

Patrick Valduriez, Djamel Edine Yagoubi, Themis Palpanas, Boyan Kolev, Florent Masseglia, Reza Akbarinia, Oleksandra Levchenko, Dennis Shasha, Scientific Data Management (ZENITH), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), LeanXcale [Madrid], Université de Paris (UP), New York University [New York] (NYU), NYU System (NYU), Université Paris Cité (UPCité), and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Inria Sophia Antipolis - Méditerranée (CRISAM)

Subjects
Distributed Querying, Computer science, Random projection, Time Series, 02 engineering and technology, computer.software_genre, Synthetic data, k-nearest neighbors algorithm, Set (abstract data type), Artificial Intelligence, 020204 information systems, Spark (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Pruning (decision trees), Fourier Coefficients, Fourier series, Database, Series (mathematics), Frequency Analysis, Human-Computer Interaction, Parallel Indexing, Hardware and Architecture, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], 020201 artificial intelligence & image processing, Filtering, computer, Software, Information Systems
Abstract

International audience; This paper presents parallel solutions (developed based on two state-of-the-art algorithms iSAX and sketch) for evaluating kNN (k nearest neighbor) queries on large databases of time series, compares them based on various measures of quality and time performance, offers a tool that uses the characteristics of application data to determine which algorithm to choose for that application and how to set the parameters for that algorithm. Specifically, our experiments show that: (i) iSAX and its derivatives perform best in both time and quality when the time series can be characterized by a few low frequency Fourier Coefficients , a regime where the iSAX pruning approach works well. (ii) iSAX performs significantly less well when high frequency Fourier Coefficients have much of the energy of the time series. (iii) A random projection approach based on sketches by contrast is more or less independent of the frequency power spectrum. The experiments show the close relationship between pruning ratio and time for exact iSAX as well as between pruning ratio and the quality of approximate iSAX. Our toolkit analyzes typical time series of an application (i) to determine optimal segment sizes for iSAX and (ii) when to use Parallel Sketches instead of iSAX. Our algorithms have been implemented using Spark, evaluated over a cluster of nodes, and have been applied to both real and synthetic data. The results apply to any databases of numerical sequences, whether or not they relate to time.

Published
2020

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