611 to 620 of 660 Results
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MD5: 140fab081d693572ffc7181b12a77c9a
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Apr 11, 2022 -
Data for: Re-thinking Elemental’s incremental housing: Residential Satisfaction and resident-driven adaptations in Villa Verde, Chile
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MD5: 1a3c80ef0907df5ee265f2c6d2e9db97
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MD5: 435af7a9bff31d04bcf3cff0473de394
Presentación y explicación de los datos disponibles en los tres documentos. |
Apr 5, 2022 -
Data for: 2022-0008 Letramento em saúde e adesão ao tratamento farmacológico de pessoas com hipertensão arterial
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MD5: 6613967e08352f65cf809bf28e8b8a74
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Apr 5, 2022 -
Data for: 2022-0008 Letramento em saúde e adesão ao tratamento farmacológico de pessoas com hipertensão arterial
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MD5: 020eece8460c41d82b4c755fb4aa44d7
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Apr 5, 2022 -
Data for: 2022-0008 Letramento em saúde e adesão ao tratamento farmacológico de pessoas com hipertensão arterial
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MD5: c135871d637484dc98f0eb089f6a4ccc
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Mar 31, 2022 -
Data for: 2021-0586 Para além da tecnologia: A inteligência artificial pode apoiar decisões clínicas na predição da sepse?
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MD5: 1f96b9c7f2deda8bd848148cd1dfe97b
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Mar 29, 2022 -
Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
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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... |
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... |
Mar 29, 2022 -
Data for: Shear-Torsion-Bending Interaction in RC Beams according to NBR 6118/2014 and AASHTO LRFD 2014
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MD5: b92cf8e96a1137bc5b8512a1fe910a86
Optimization algorithm for each AASHTO 2014 |