Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yuanfeng Pang"'
Autor:
Wanzhu Shen, Jiaxuan Li, Bo Jiang, You Nie, Yuanfeng Pang, Chongwen Wang, Rui Xiao, Rongzhang Hao
Publikováno v:
Pathogens, Vol 12, Iss 2, p 327 (2023)
Streptococcus pneumoniae (S. pneumoniae) is a prominent pathogen of bacterial pneumonia and its rapid and sensitive detection in complex biological samples remains a challenge. Here, we developed a simple but effective immunochromatographic assay (IC
Externí odkaz:
https://doaj.org/article/e32541a7957a483a8b8af361c875185e
Publikováno v:
ACS Sensors. 6:852-862
Exosomal microRNAs (miRNAs) have been proved to be important biomarkers for the early diagnosis of cancers. However, the accurate quantification of exosomal miRNAs is hampered either by laborious exosome isolation and lysis or by RNA extraction and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6024a8ecc968a1908961d79b2c411791
https://doi.org/10.1021/acssensors.0c01900
https://doi.org/10.1021/acssensors.0c01900
Publikováno v:
CrystEngComm. 23:678-683
Amorphous calcium phosphate (ACP), as a precursor phase of hydroxyapatite (HAP, the main inorganic mineral of bone) crystallization in a biological system is well documented. Numerous studies have shown that Mg2+ can chemically inhibit the transforma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e83f00b74ba3adfcb749eed98f9d9d9d
https://doi.org/10.1039/d0ce01421d
https://doi.org/10.1039/d0ce01421d
Autor:
Yuanfeng Pang, Takeshi Ito
Publikováno v:
Journal of Information Processing. 29:347-359
In May 2017, the application of deep learning to the game “Go” enjoyed a tremendous victory when the AlphaGo computer program beat one of the top professional players. However, there is no clear understanding of why deep learning elicits such str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b91138ef0a6edc79b5a7c7a1f266dba
https://doi.org/10.2197/ipsjjip.29.347
https://doi.org/10.2197/ipsjjip.29.347
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42f6b3e5b7f848aeaf9e8f405b01dc70
https://doi.org/10.2139/ssrn.4062485
https://doi.org/10.2139/ssrn.4062485
Autor:
Chongwen Wang, Wanzhu Shen, Chaoguang Wang, Shuai Zheng, Bo Jiang, Jiaxuan Li, Yuanfeng Pang, Rongzhang Hao, Rui Xiao
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f76406bec5f3e5ba7849c003dc14611d
https://doi.org/10.2139/ssrn.4051230
https://doi.org/10.2139/ssrn.4051230
Publikováno v:
Analytica Chimica Acta. 1077:288-296
Rapid and reliable detection of pathogenic bacteria is vital to prevent and control bacterial diseases. In this study, we present a magnetically assisted surface-enhanced Raman scattering (SERS) biosensor based on the dual-recognition of bacterial ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f12b66e15eeaeaed921e81f978966070
https://doi.org/10.1016/j.aca.2019.05.059
https://doi.org/10.1016/j.aca.2019.05.059
Publikováno v:
Biosensors and Bioelectronics. 130:204-213
MicroRNAs have been proved to be the biomarker for early detection of pancreatic cancer and the precisely quantitation of the MicroRNA-10b in the blood samples even can distinguish pancreatic cancer from chronic pancreatitis (CP) and normal controls
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d1d53a0103d117e9b7d63d4a1e9376e
https://doi.org/10.1016/j.bios.2019.01.039
https://doi.org/10.1016/j.bios.2019.01.039
Autor:
Wanzhu Shen, Chaoguang Wang, Shuai Zheng, Bo Jiang, Jiaxuan Li, Yuanfeng Pang, Chongwen Wang, Rongzhang Hao, Rui Xiao
Publikováno v:
Journal of Hazardous Materials. 437:129347
Rapid and sensitive detection of multiple foodborne bacteria without DNA amplification is still challenging. Here, we proposed an immunochromatographic assay (ICA) with multiplex analysis ability and high sensitivity for direct detection of bacteria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca1086452611743bfca1397ff0b935be
https://doi.org/10.1016/j.jhazmat.2022.129347
https://doi.org/10.1016/j.jhazmat.2022.129347
Autor:
Yuanfeng Pang, Takeshi Ito
Publikováno v:
TAAI
Deep learning for the game of Go achieved considerable success with the victory of AlphaGo against Ke Jie in May 2017. Thus far, there is no clear understanding of why deep learning performed so well in the game of Go. In this paper, we introduce vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f62993f8a39b4bebf8f2a9b413916a9
https://doi.org/10.1109/taai51410.2020.00015
https://doi.org/10.1109/taai51410.2020.00015