Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Yuanhao Qu"'
Publikováno v:
Big Earth Data, Vol 7, Iss 2, Pp 318-337 (2023)
ABSTRACT Serious regional ozone (O3) pollution often plagues the Yangtze River Delta (YRD). The formation mechanism of these regional pollution events, including the meteorological and emission factors leading to these pollution events and how to aff
Externí odkaz:
https://doaj.org/article/e8c9c7c5ee324e8aa869ebf70332e20b
Autor:
Chengkun Wang, Qiong Xia, Qianhe Zhang, Yuanhao Qu, Stephen Su, Jason K. W. Cheng, Nicholas W. Hughes, Le Cong
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2022)
The development of CRISPR-based gene-editing technologies has brought an unprecedented revolution in the field of genome engineering. Cas12a, a member of the Class 2 Type V CRISPR-associated endonuclease family distinct from Cas9, has been repurposed
Externí odkaz:
https://doaj.org/article/7971de916c8d4e2e84fb86afdfe85239
Autor:
Lindsay M. Wong, Wei Tse Li, Neil Shende, Joseph C. Tsai, Jiayan Ma, Jaideep Chakladar, Aditi Gnanasekar, Yuanhao Qu, Kypros Dereschuk, Jessica Wang-Rodriguez, Weg M. Ongkeko
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 6240-6254 (2021)
Background: The mechanisms of carcinogenesis from viral infections are extraordinarily complex and not well understood. Traditional methods of analyzing RNA-sequencing data may not be sufficient for unraveling complicated interactions between viruses
Externí odkaz:
https://doaj.org/article/42db16df2cf14ea897710911650e674c
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Air pollution has become one of the most challenging problems in China, especially in economically developed and densely populated regions such as Shanghai. In this study, the long short-term memory (LSTM) model is introduced for the application in e
Externí odkaz:
https://doaj.org/article/f68b9c8631f34087b46d4e6737e926d2
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2096 (2021)
A visibility forecast model called a boosting-based fusion model (BFM) was established in this study. The model uses a fusion machine learning model based on multisource data, including air pollutants, meteorological observations, moderate resolution
Externí odkaz:
https://doaj.org/article/6e8562e9b3c04995973f01ecb5b60ff8
Publikováno v:
Sensors, Vol 21, Iss 5, p 1605 (2021)
Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various sensors. It is the basic and one of the most important functions of mobile agents. In spite of th
Externí odkaz:
https://doaj.org/article/261a52f8760d445cae47e6984a846d6e
Publikováno v:
Cognitive Computation and Systems ISBN: 9789819927883
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190f98b11804f7451c4925d9ecbfc9dc
https://doi.org/10.1007/978-981-99-2789-0_8
https://doi.org/10.1007/978-981-99-2789-0_8
Publikováno v:
Science of The Total Environment. 880:163358
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::667e03305eb44f214bf4b6fa1bb0efdb
https://doi.org/10.1016/j.scitotenv.2023.163358
https://doi.org/10.1016/j.scitotenv.2023.163358
Autor:
Henry Cousins, Adrienne Sarah Kline, Chengkun Wang, Yuanhao Qu, Mengdi Wang, Russ Altman, Yuan Luo, Le Cong
Treatment strategies that target host entry factors have proven an effective means of impeding viral entry in HIV and may be more robust to viral evolution than drugs targeting viral proteins directly. High-throughput functional screens provide an un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::868a2c7c6f5c8fef12c5232d0a261975
https://doi.org/10.1101/2022.07.02.22277181
https://doi.org/10.1101/2022.07.02.22277181
Autor:
Henry C. Cousins, Adrienne Sarah Kline, Chengkun Wang, Yuanhao Qu, James Zengel, Jan Carette, Mengdi Wang, Russ B. Altman, Yuan Luo, Le Cong
Publikováno v:
Cell Reports Methods. :100503
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::022aa37f149aa59f329b6b68f63e81d5
https://doi.org/10.1016/j.crmeth.2023.100503
https://doi.org/10.1016/j.crmeth.2023.100503