Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Hailin Chen"'
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5524 (2024)
Currently, few deep models are applied to pepper-picking detection, and existing generalized neural networks face issues such as large model parameters, prolonged training times, and low accuracy. To address these challenges, this paper proposes the
Externí odkaz:
https://doaj.org/article/a95c4af317dd4d3eacfee578dc8f3391
Publikováno v:
Sensors, Vol 24, Iss 8, p 2464 (2024)
Deep learning methodologies employed for biomass prediction often neglect the intricate relationships between labels and samples, resulting in suboptimal predictive performance. This paper introduces an advanced supervised contrastive learning techni
Externí odkaz:
https://doaj.org/article/0a8cff5e78d44614983f5fff1dff2bea
Publikováno v:
Brazilian Journal of Otorhinolaryngology, Vol 89, Iss 3, Pp 383-392 (2023)
Objective: This study aimed to investigate the molecular mechanism of miR-150-5p regulating the malignant biological behavior of Human Epidermoid cancer cell (HEp-2) by targeting peptidyl-prolyl cis/trans isomerase NIMA-Interacting-1 (PIN1). Methods:
Externí odkaz:
https://doaj.org/article/a95d7c75e1374e25863e610369332558
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-12 (2022)
Abstract Background Increasing biomedical studies have shown that the dysfunction of miRNAs is closely related with many human diseases. Identifying disease-associated miRNAs would contribute to the understanding of pathological mechanisms of disease
Externí odkaz:
https://doaj.org/article/f8f632bbf0b748e6bc7461c9476e4bd7
Autor:
Hailin Chen, Tengteng Yu, Liang Lin, Lijie Xing, Shih-Feng Cho, Kenneth Wen, Kimberly Aardalen, Adwait Oka, Joni Lam, Mike Daley, Haihui Lu, Nikhil Munshi, Kenneth C. Anderson, Yu-Tzu Tai
Publikováno v:
Blood Cancer Journal, Vol 12, Iss 8, Pp 1-10 (2022)
Abstract We here defined the impacts of γ-secretase inhibitors (GSIs) on T-cell-dependent BCMA-specific multiple myeloma (MM) cell lysis and immunomodulatory effects induced by bispecific antibodies (BisAbs). GSIs-induced membrane BCMA (mBCMA) accum
Externí odkaz:
https://doaj.org/article/18630a073f974d81b53cefcf6ea2de9d
Publikováno v:
Energies, Vol 16, Iss 21, p 7342 (2023)
Subsequent commutation failure in high-voltage DC transmission systems seriously emphasizes the safe and stable operation of power systems. Via analyzing the mechanism of commutation failure and the principle of voltage-dependent current order limite
Externí odkaz:
https://doaj.org/article/7c01e0ca76254caaa181d00cddc090d5
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Environmental pollution is an important factor that harms public health, and environmental regulation is the policy instrument to govern pollution, so what impact does environmental regulation have on the public health? What are the mechanisms? To an
Externí odkaz:
https://doaj.org/article/67a6f435c2cd49cdaf39d68ce74d5cb3
Publikováno v:
BMC Medical Genomics, Vol 15, Iss 1, Pp 1-9 (2022)
Abstract Background Besides binding to proteins, the most recent advances in pharmacogenomics indicate drugs can regulate the expression of non-coding RNAs (ncRNAs). The polypharmacological feature in drugs enables us to find new uses for existing dr
Externí odkaz:
https://doaj.org/article/25b6318c953a45dabcdb4cf6b3da9b8b
Autor:
Jizhang Bao, Xinhua Zhao, Jiahui Lu, Zhaoyang Hu, Minghui Hu, Xiaoxia Hu, Libing Wang, Qi Hu, Weiling Sun, Jie Wang, Hailin Chen, Hao Lu, Changgui Li, Jing Xu, Yongming Zhou, Wenwei Zhu
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-11 (2021)
Highlights 1. Gene transcript profiles in the elderly AML patients are different from those in young patients. 2. Statistical analysis reveals the down-regulation of protein processing in ER and pathways related to immunity in elderly patients. 3. GE
Externí odkaz:
https://doaj.org/article/373346b1283e43cc8bbe436e08f4a214
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5589 (2023)
The current neural networks for tomato leaf disease recognition have problems such as large model parameters, long training time, and low model accuracy. To solve these problems, a lightweight convolutional neural network (LBFNet) is proposed in this
Externí odkaz:
https://doaj.org/article/4653dd5e07674f31960fe02f2deb3ca9