Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Xuye Liu"'
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Publikováno v:
ACS Sensors. 7:338-344
Publikováno v:
Analytical Chemistry. 92:11635-11643
Nanopore analysis based on a resistive-pulse technique is an attractive tool for single-molecule detection in different fields, but it suffers a great drawback in selectivity. A common solution to this challenge is to add extra sensing aptamers and l
Autor:
Qi Lin, Yuli Zhou, Siyuan Shi, Yujuan Zhang, Shaoli Yin, Xuye Liu, Qihui Peng, Shaoting Huang, Yitao Jiang, Chen Cui, Ruilian She, Jinfeng Xu, Fajin Dong
PURPOSE To investigate if artificial intelligence can identify fetus intracranial structures in pregnancy week 11-14; to provide an automated method of standard and non-standard sagittal view classification in obstetric ultrasound examination METHOD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa9fcfeb639561cda46baf2b0e12274c
https://doi.org/10.21203/rs.3.rs-754075/v2
https://doi.org/10.21203/rs.3.rs-754075/v2
Publikováno v:
IJCAI
Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code and neglect the creation of the documentation in a notebook. In this w
Publikováno v:
Journal of Electroanalytical Chemistry. 917:116397
Autor:
Steve Oney, Jaimie Drozdal, April Yi Wang, Xuye Liu, Soya Park, Dakuo Wang, Christopher Brooks
Publikováno v:
CHI Extended Abstracts
Many data scientists use computational notebooks to test and present their work, as a notebook can weave code and documentation together (computational narrative), and support rapid iteration on code experiments. However, it is not easy to write good
Autor:
April Yi Wang, Dakuo Wang, Jaimie Drozdal, Michael Muller, Soya Park, Justin D. Weisz, Xuye Liu, Lingfei Wu, Casey Dugan
Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code, and neglect creating or updating their documentation during quick ite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7ee83d5f11ccac535641d5155853309
http://arxiv.org/abs/2102.12592
http://arxiv.org/abs/2102.12592
Autor:
Xuye Liu1 liuxuye007@163.com, Shuailing Yang1 yshling826@163.com, Songyi Lin1 linsongyi730@163.com
Publikováno v:
Biotechnology & Medical Science - Proceedings of the 2016 International Conference. 2016, p653-661. 9p.
Publikováno v:
Journal of materials chemistry. B. 7(17)
Herein, a novel fluorescent material, boronic acid-functionalized molybdenum disulfide quantum dots (B-MoS2 QDs) produced by an amidation reaction between 3-aminobenzeneboronic acid and previously prepared molybdenum disulfide quantum dots (MoS2 QDs)