Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Changlong JIN"'
DNASimCLR: a contrastive learning-based deep learning approach for gene sequence data classification
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background The rapid advancements in deep neural network models have significantly enhanced the ability to extract features from microbial sequence data, which is critical for addressing biological challenges. However, the scarcity and compl
Externí odkaz:
https://doaj.org/article/c3d6fc1bbd0841c192ede9795b10ed0c
Publikováno v:
Journal of Dental Sciences. 18:120-128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80eadbb9031601afe9b6bfbbe1e8189f
https://doi.org/10.1016/j.jds.2022.06.018
https://doi.org/10.1016/j.jds.2022.06.018
Publikováno v:
International Journal of Stem Cells. 15:384-394
Dental pulp stem cells (DPSCs) play an important role in the repair of tooth injuries. Electrogenic sodium bicarbonate cotransporter 1 (NBCe1) is a NaDPSCs were isolated and identified, and the selective NBCe1 inhibitor S0859 was used to treat DPSCs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdc51cd6601f5637746f1e864c5a129c
https://doi.org/10.15283/ijsc21240
https://doi.org/10.15283/ijsc21240
Human dental pulp stem cells (hDPSCs) are promising cellular sources in dental tissue engineering. Although studies have reported that cyclic adenosine monophosphate (cAMP) and Cav1.2 played important roles in the differentiation of stem cells, the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36024af02ca16313263472abf1bc860d
https://doi.org/10.21203/rs.3.rs-1877993/v1
https://doi.org/10.21203/rs.3.rs-1877993/v1
Publikováno v:
Tissuecell. 79
Sodium Hypochlorite (NaOCl) and Ethylene Diamine Tetraacetic Acid (EDTA) can change the biochemical and biophysical properties of dentin. However, the response of human dental pulp stem cells (hDPSCs) to NaOCl and EDTA-treated dentin remains unknown.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70bdc3f32f673bf3e0b345898a2a1427
https://pubmed.ncbi.nlm.nih.gov/36265367
https://pubmed.ncbi.nlm.nih.gov/36265367
Publikováno v:
International Conference on Computer Vision, Application, and Design (CVAD 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62c463071bf7e371cecc39b3fc7935ae
https://doi.org/10.1117/12.2626563
https://doi.org/10.1117/12.2626563
Publikováno v:
BioMed Research International
BioMed Research International, Vol 2020 (2020)
BioMed Research International, Vol 2020 (2020)
Electrocardiogram (ECG) signal is critical to the classification of cardiac arrhythmia using some machine learning methods. In practice, the ECG datasets are usually with multiple missing values due to faults or distortion. Unfortunately, many establ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40194c1922fa79a69605162d945ab101
Publikováno v:
Knowledge-Based Systems. 229:107367
The collective spatial keyword query (CoSKQ), an important variant of spatial keyword query, aims to find a set of objects collectively covering the user’s query keywords, that are close to the query location and are close to each other. However, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdba9a1100c3d08c889754952300a8f3
https://doi.org/10.1016/j.knosys.2021.107367
https://doi.org/10.1016/j.knosys.2021.107367
Publikováno v:
Biometric Recognition ISBN: 9783030314552
CCBR
CCBR
In order to learn more hard negative example features of face, MTCNN increases the proportion of negative to positive examples. However, the training data of MTCNN suffer from the extreme foreground-background class imbalance, which results in a larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0bb3876bdbbe2de6bff1b242af0c51
https://doi.org/10.1007/978-3-030-31456-9_30
https://doi.org/10.1007/978-3-030-31456-9_30
Publikováno v:
Biometric Recognition ISBN: 9783030314552
CCBR
CCBR
To obtain a large fingerprint template from several partial fingerprints, we propose a novel partial fingerprint mosaicking scheme, which includes a coarse-to-fine alignment stage and a fusion stage, to build a synthetic template from multiple partia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6692bb3747dcc4263513307deb8eccff
https://doi.org/10.1007/978-3-030-31456-9_8
https://doi.org/10.1007/978-3-030-31456-9_8