Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zizhen Song"'
Publikováno v:
ECNU Review of Education, Vol 7 (2024)
Purpose This study analyzed the developmental history and specific practical approaches of transcultural education in German universities and summarized its experiences to provide meaningful suggestions for transcultural education in Chinese universi
Externí odkaz:
https://doaj.org/article/7248e16a51014514bb3a4afeff0015ee
Autor:
Nathan J. Sniadecki, Sangyoon J. Han, Moritz Stolla, Kevin M. Beussman, John Hocter, Ashley F. Emery, Wendy E. Thomas, Zizhen Song, Molly Y. Mollica, Andrea Leonard, Jeffrey Miles
Measuring the traction forces produced by cells provides insight into their behavior and physiological function. Here, we developed a technique (dubbed ‘black dots’) that microcontact prints a fluorescent micropattern onto a flexible substrate to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae3e77aa1941d756301b9793838567a2
https://doi.org/10.1101/2021.08.02.454500
https://doi.org/10.1101/2021.08.02.454500
Autor:
Sangyoon J. Han, Molly Y. Mollica, Wendy E. Thomas, Kevin M. Beussman, John Hocter, Andrea Leonard, Ashley F. Emery, Moritz Stolla, Jeffrey Miles, Nathan J. Sniadecki, Zizhen Song
Publikováno v:
Acta biomaterialia.
Measuring the traction forces produced by cells provides insight into their behavior and physiological function. Here, we developed a technique (dubbed ‘black dots’) that microcontact prints a fluorescent micropattern onto a flexible substrate to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cce06f60fca0e19903986e4f9c100c90
https://pubmed.ncbi.nlm.nih.gov/34781024
https://pubmed.ncbi.nlm.nih.gov/34781024
Autor:
Chris Dong, Lingzhi Du, Feiran Ji, Zizhen Song, Yuedi Zheng, Alexander Howard, Paul Intrevado, Diane Myung-kyung Woodbridge, Alexander J. Howard
Publikováno v:
HPCC/SmartCity/DSS
In this research, we explore the technical and computational merits of a machine learning algorithm on a large data set, employing distributed systems. Using 167 million (10 GB) energy consumption observations collected by smart meters from residenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7df28e35a6f1f866e0ebb7ca2bac17be
https://doi.org/10.1109/hpcc/smartcity/dss.2018.00216
https://doi.org/10.1109/hpcc/smartcity/dss.2018.00216