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O SciELO Data é um repositório multidisciplinar para depósito, preservação e disseminação de dados de pesquisa de artigos submetidos e aprovados para publicação, ou já publicados em periódicos da Rede SciELO, ou depositados no SciELO Preprints. Para mais informação consulte scielo.org.

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4,381 to 4,390 of 5,338 Results
Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
Mar 31, 2022 - Revista Brasileira de Enfermagem
Scherer, Juliane de Souza; Pereira, Jéssica Silveira; Debastiani, Mariana Severo; Bica, Claudia Giuliano, 2022, "Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?", https://doi.org/10.48331/scielodata.PHGO2Q, SciELO Data, V1
Trata-se de um arquivo único de imagem com duas tabelas. A primeira tem como colunas a Pontuação, Nome que aparece na Tabela e Descrição, indicando, respectivamente, a pontuação de risco somado ao score do protocolo do Robô Laura ®, o texto que surge na tabela do sistema (que foi...
LAURA.png
LAURA.png
Mar 31, 2022 - Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
PNG Image - 104.7 KB - MD5: 077bc1ac023c6cb2131880bdb9daf450
README.txt
Mar 31, 2022 - Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
Plain Text - 1.2 KB - MD5: 1f96b9c7f2deda8bd848148cd1dfe97b
Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Mar 29, 2022 - Revista IBRACON de Estruturas e Materiais / IBRACON Structures and Materials Journal
Belarmino Almeida, Vinícius, 2022, "Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014", https://doi.org/10.48331/scielodata.ZGNEIO, SciELO Data, V1
Reinforced concrete beams are subjected to bending, torsion and shear simultaneously. The interaction of combined loading is complex and demands a unified model for analysis and design. Using the models from NBR 6118/2014 (variable angle truss model with parallel chords) and AASH...
colormapAASHTO.mat
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
MATLAB Data - 2.7 KB - MD5: 745220016efcc7d682c52c4d8cffd2d6
Color map used for AASHTO 2014 interaction surface
colormapNBR.mat
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
MATLAB Data - 1.8 KB - MD5: 911fb20ac1bec77e4ec5ea44a2009a0c
Color map used for NBR 6118 2014 interaction surface
MVTmax_AASHTO.m
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Plain Text - 2.2 KB - MD5: fc06039e74db610f2a42789e5c61d134
For comparison, experimental data points from the analyzed tests are plotted along with hidden lines starting from the origin. These were normalized using the maximum predicted resistance based on the tested beam’s parameters, which may differ from nominal values. The scaling val...
MVTmax_NBR.m
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Plain Text - 2.1 KB - MD5: f94b11bb92ba581d701c4f8b64fd064e
For comparison, experimental data points from the analyzed tests are plotted along with hidden lines starting from the origin. These were normalized using the maximum predicted resistance based on the tested beam’s parameters, which may differ from nominal values. The scaling val...
OtimR_AASHTO.m
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Plain Text - 5.0 KB - MD5: b92cf8e96a1137bc5b8512a1fe910a86
Optimization algorithm for each AASHTO 2014
OtimR_NBR.m
Mar 29, 2022 - Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
Plain Text - 6.6 KB - MD5: 8f0e510d11b0fbbe52ba989a00d412fb
Optimization algorithm for each NBR 6118 2014
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