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  1. 661

    Estimating the Tensile Strength of Ultrahigh-Performance Fiber-Reinforced Concrete Beams by In-Hwan Yang, Changbin Joh, The Quang Bui

    Published 2019-01-01
    “…The uneven dispersion of randomly oriented steel fibers in concrete may cause differences in the tensile behavior between material testing specimens and beams. Therefore, in this study, the tensile behavior was investigated by fitting the analysis result of the moment-curvature curve to the experimental result of a UHPFRC beam. …”
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  2. 662

    Effect of the Nonprestressed/Prestressed BFRP Bar on Flexural Performance of the Bamboo Beam by Qingfang Lv, Yi Ding, Ye Liu

    Published 2019-01-01
    “…In the first series of tests, the pure laminated bamboo beam and the laminated bamboo beam applied with nonprestressed BFRP bar were compared. …”
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  3. 663

    Cyclic Behavior of Steel Beam to CFT Column Connections with Gusset Plates by Peng Wang, Zhan Wang, Jianrong Pan, Yanjun Zheng, Deming Liu

    Published 2019-01-01
    “…Beam-brace-CFT (concrete-filled tubular) column connections provide excellent performance in resisting seismic loads in high-risk areas. …”
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  4. 664

    Nonlinear Dynamic Analysis of Plates Stiffened by Parallel Beams with Deformable Connection by J. A. Dourakopoulos, E. J. Sapountzakis

    Published 2014-01-01
    “…The plate-beam structure is assumed to undergo moderate large deflections and the nonlinear analysis is carried out by retaining nonlinear terms in the kinematical relations. …”
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    Dental Laboratory Technician

    Published 2025-02-01
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  17. 677

    Examining reliability of WHOBARS: a tool to measure the quality of administration of WHO surgical safety checklist using generalisability theory with surgical teams from three New Zealand hospitals by Jennifer M Weller, Carmen Skilton, Derryn A Gargiulo, Oleg N Medvedev, Simon J Mitchell, Alan F Merry

    Published 2019-01-01
    “…In this context, extending reliability refers to establishing generalisability of the tool scores across populations of teams and raters by accounting for the relevant sources of measurement errors.Design Cross-sectional random effect measurement design assessing surgical teams by the five items on the three Checklist phases, and at three sites by two trained raters simultaneously.Setting The data were collected in three tertiary hospitals in Auckland, New Zealand in 2016 and included 60 teams observed in 60 different cases with an equal number of teams (n=20) per site. …”
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