Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yiqing Hou"'
Publikováno v:
Case Studies in Construction Materials, Vol 18, Iss , Pp e02015- (2023)
A super-thin layer of mortar with recycled brick fines (RBF) for sintered perforated block masonry was prepared. Six mortar mixtures were designed with different replacement ratios of RBF from 0 % to 50 %. The physical and mechanical properties were
Externí odkaz:
https://doaj.org/article/503212e3cc3649c99e343b76f97cbaf8
Autor:
Yiqing Hou, Chao Chen, Lu Zhang, Wei Zhou, Qinyang Lu, Xiaohong Jia, Jingwen Zhang, Cen Guo, Yuxiang Qin, Lifeng Zhu, Ming Zuo, Jing Xiao, Lingyun Huang, Weiwei Zhan
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectiveThe aim of this study is to develop a model using Deep Neural Network (DNN) to diagnose thyroid nodules in patients with Hashimoto’s Thyroiditis.MethodsIn this retrospective study, we included 2,932 patients with thyroid nodules who underw
Externí odkaz:
https://doaj.org/article/5abe24e3f44d41469a12e7e038c50cf1
Publikováno v:
Advances in Structural Engineering. 25:927-938
The carbonation behavior of seawater sea sand recycled aggregate concrete (SSRAC) was investigated in this study. Considering different added water, fine aggregates, and coarse aggregates, the specimens were divided into 12 groups for the accelerated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff03e262f4422000d4f619d03b3b4778
https://doi.org/10.1177/13694332211026221
https://doi.org/10.1177/13694332211026221
Publikováno v:
Journal of Building Engineering. 62:105391
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee17c62ec14bcddb6cccc9c4b023e942
https://doi.org/10.1016/j.jobe.2022.105391
https://doi.org/10.1016/j.jobe.2022.105391
Publikováno v:
Waste Management. 85:538-547
In the past, the pretreatment and indium extracting were conducted in independent disposal system to recycle indium from waste liquid crystal display (LCD), which make the recycling process inefficient and costly. In this study, an efficient and envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31415f89922c4123bb2ea43c2290a908
https://doi.org/10.1016/j.wasman.2019.01.010
https://doi.org/10.1016/j.wasman.2019.01.010
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 8, Iss 4, Pp 250-254 (2024)
Objective: This study aims to assess the performance of the Chat Generative Pre-Trained Transformer (ChatGPT), specifically versions GPT-3.5 and GPT-4, on ultrasonography board-style questions, and subsequently compare it with the performance of thir
Externí odkaz:
https://doaj.org/article/2b86d643dce64d5c9d83caded3c6b985