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4篇 您的检索式:作者名="Rawaa"
    题名 作者 年代 出处 被引量
1Prevalence and Predictors of Low Bone Mineral Density in Males With Ulcerative Colitis显示文摘Nabeel Khan Ali M. Abbas Rawaa M. Almukhtar Amna Khan 2013The Journal of Clinical Endocrinology & Metabolism2013,,6:2
2Estimation of shallow velocity structure in Damascus city, Syria, using microtremors exploration 显示文摘Hussam E Z Hiroaki Y Rawaa D 2012Soil Dynamics and Earthquake Engineering2012,39,:1
3Errors in the Subtitling of Discourse Markers From English Into Arabic显示文摘This study aims at investigating errors which occur in the subtitling of discourse markers from English into Arabic in the subtitles of two movies,Wonder and Seven.Specifically,this study investigates the subtitling of five discourse markers,namely,well,yeah,you know,so,and oh by two movie websites,Netflix and Egybest.The findings reveal that two major errors occurred in the subtitles of the two movies,which are omission and wrong equivalence.The findings also show that omission occurred more frequently than wrong equivalence when subtitling these five discourse markers from English into Arabic.Rafat Al Rousan Rawaa Jaradat 2022Sino-US English Teaching2022,19,11:0
4Influence and Optimization of Surface Roughness on Surface Integrity during Turning Using Grey Relational Analysis显示文摘Current machining studies have reported effects of prevalent and common factors,while ultra⁃high finish requires holistic approach to identify all factors and investigate their effects on machining of hard to machine materials.In this work,a less investigated yet important factor,roughness of the uncut surface,was studied,and its effects on the individual response,i.e.,surface finish of the machined part,were found to be significant.AISI 316,which is mainly applied in strategic areas,was selected and three effective turning factors,cutting speed(A),feed rate(B),and roughness of the uncut surface(C)on three output responses including surface roughness of the machined surface(Ra),microhardness(HV),and material removal rate(MRR),were reported.Further,single response optimization of the individual output response and multi⁃response optimization of all the three responses were carried out.Taguchi L9 orthogonal array based signal⁃to⁃noise(S/N)ratio method was used for individual response optimization,and grey relational analysis(GRA)was employed for multi⁃response optimization.Effects of the process factors on the output responses were evaluated through inclusive statistical analyses.The individual response optimization revealed that there was a considerable effect of roughness of the uncut surface on the machining performance.Results of the GRA illustrated that the speed during the cutting process and the feed rate had substantial trace on the surface integrity(indicated by Ra and HV)and production rate(indicated by MRR),while roughness of the uncut surface did not have a significant effect.Suha K Shihab Ethar Mohamed Mubarak Rawaa Hamid Al-Kalali 2021Journal of Harbin Institute of Technology(New Series)2021,28,2:0
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