Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Lixin Guan"'
Publikováno v:
iScience, Vol 27, Iss 6, Pp 110030- (2024)
Summary: Enhancers, genomic DNA elements, regulate neighboring gene expression crucial for biological processes like cell differentiation and stress response. However, current machine learning methods for predicting DNA enhancers often underutilize h
Externí odkaz:
https://doaj.org/article/65663bcc537d46ecbcb0705ea5b4fcf7
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Essential genes encode functions that play a vital role in the life activities of organisms, encompassing growth, development, immune system functioning, and cell structure maintenance. Conventional experimental techniques for ide
Externí odkaz:
https://doaj.org/article/0b5f438f6c30445fb1a98e4415b135eb
Publikováno v:
Journal of Imaging, Vol 10, Iss 8, p 197 (2024)
Currently, existing deep learning methods exhibit many limitations in multi-target detection, such as low accuracy and high rates of false detection and missed detections. This paper proposes an improved Faster R-CNN algorithm, aiming to enhance the
Externí odkaz:
https://doaj.org/article/ee14f43a418b4dd288316a073d05698c
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011370 (2023)
DNA methylation takes on critical significance to the regulation of gene expression by affecting the stability of DNA and changing the structure of chromosomes. DNA methylation modification sites should be identified, which lays a solid basis for gai
Externí odkaz:
https://doaj.org/article/6c1d1f1bdd854303a23cbcca3eeff3a2
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3177 (2023)
Traditional hyperspectral image semantic segmentation algorithms can not fully utilize the spatial information or realize efficient segmentation with less sample data. In order to solve the above problems, a U-shaped hyperspectral semantic segmentati
Externí odkaz:
https://doaj.org/article/74f1ecd50a7c490088b794d9e22216c9
Publikováno v:
IEEE Access, Vol 7, Pp 155540-155551 (2019)
The goal of this study was to model the total leaf chlorophyll content (LCCtot) of Gannan navel orange leaves using a field imaging spectroscopy system in the visible and near-infrared domain. The spectral range from 400 to 1000 nm with 176 wavebands
Externí odkaz:
https://doaj.org/article/7b09a053e39d4961a5e1407e65e35823
Autor:
Si Chen, Fengpeng Wang, Fangguang Kuang, Shuying Kang, Hanwen Liang, Lijing Zheng, Lixin Guan, Qing Wu
Publikováno v:
Nanomaterials, Vol 12, Iss 16, p 2747 (2022)
We report on all-optical devices prepared from WSe2 combined with drawn tapered fibers as saturable absorbers to achieve ultrashort pulse output. The saturable absorber with a high damage threshold and high saturable absorption characteristics is pre
Externí odkaz:
https://doaj.org/article/b852e237921141e28b52f4298469a34d
Publikováno v:
Nanomaterials, Vol 12, Iss 5, p 766 (2022)
A photothermal fiber sensor based on a microfiber knot resonator (MKR) and the Vernier effect is proposed and demonstrated. An MXene Ti3C2Tx nanosheet was deposited onto the ring of an MKR using an optical deposition method to prepare photothermal de
Externí odkaz:
https://doaj.org/article/f9a9b7eb225c42fbbf8dac261b25f65f
Publikováno v:
Cellular Physiology and Biochemistry, Vol 32, Iss 5, Pp 1299-1308 (2013)
Background/Aims: Total saponin extracted from Tribulus terrestris (TSETT) has been reported to protect against atherosclerosis. We here investigate the cellular and molecular mechanisms of TSETT underlying protection against atherosclerosis. Methods:
Externí odkaz:
https://doaj.org/article/6be86470f93f4db7bf8d79e9348744f3
Publikováno v:
Applied Sciences, Vol 8, Iss 7, p 1121 (2018)
A quantitative structure-property relationship (QSPR) model is proposed to explore the relationship between the pKa of various compounds and their structures. Through QSPR studies, the relationship between the structure and properties can be obtained
Externí odkaz:
https://doaj.org/article/b23e771084524ebc8a04cd16aeb7464b