Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Xinglin Wang"'
Autor:
Huaqin Xia, Jiarui Yang, Yi Ding, Xinglin Wang, Yanfeng Liao, Yiwen Shi, Hongliang Dou, Xuemin Li
Publikováno v:
BMC Ophthalmology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background To explore the predictive value of Ellipsoid Zone (EZ) -related angle parameters for the outcome of primary macular hole surgery. Methods This was a retrospective study. Patients diagnosed with large macular hole (MH) (minimum dia
Externí odkaz:
https://doaj.org/article/dad06dae33424889a94b43ab95c60f37
Autor:
Chen Wang, Chuchu Chen, Jiabin Zhou, Jiayu Shi, Hanrui Sun, Jingyu Li, Pengyang Gu, Xinglin Wang, Qi Lu, Shuai Wang
Publikováno v:
Frontiers in Bioscience-Landmark, Vol 29, Iss 7, p 267 (2024)
Background: Heart failure (HF) is a clinical syndrome that seriously endangers human health and quality of life as the terminal stage of cardiovascular diseases. Ferroptosis as a new iron-dependent programmed cell death mode that is closely related t
Externí odkaz:
https://doaj.org/article/1995c704d23f4a00b24e15d9a924055b
Publikováno v:
Catalysts, Vol 14, Iss 7, p 429 (2024)
Hydrogen peroxide (H2O2) is one of the most environmentally friendly and versatile chemical oxidizing agents, with only O2 and H2O as reaction products. It is widely used in environmental protection, industrial production, and medical fields. At pres
Externí odkaz:
https://doaj.org/article/096be3e5d265420db1a419edf0129b2c
Autor:
Jiaen Cheng, Cun You, Lu Wang, Xinglin Wang, Wei Zhao, Dianzhen Wang, Xin Qu, Qiang Zhou, Qiang Tao, Shushan Dong, Pingwen Zhu
Publikováno v:
AIP Advances, Vol 13, Iss 12, Pp 125103-125103-7 (2023)
High pressure is an effective means to optimize the thermoelectric (TE) performance by sharply improving the electrical properties of materials. Studying the carrier effective mass (m*) is a feasible way to uncover the basic reason for superior elect
Externí odkaz:
https://doaj.org/article/8d4e70fee67c419d9b67e40e953d0555
Publikováno v:
Guangdong nongye kexue, Vol 50, Iss 7, Pp 74-82 (2023)
【Objective】Based on deep 1earning techno1ogy, rapid counting of rice panic1es in RGB images co11ected by unmanned aeria1 vehic1es (UAV) is beneficia1 for 1abor saving, time saving, and efficiency. And it provides a basis for downstream harvesting
Externí odkaz:
https://doaj.org/article/4fb7656fc0724fb6970a6d81313aceae
Publikováno v:
BMC Ophthalmology, Vol 23, Iss 1, Pp 1-5 (2023)
Abstract Background The coexistence of MRCS (microcornea, retinal dystrophy, cataract, and posterior staphyloma) syndrome and extremely long axis is rare since microcornea frequently accompanies with diminution of entire anterior segment and occasion
Externí odkaz:
https://doaj.org/article/91fa369ae2da45a8aa9b43591fb1b115
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 505-511 (2023)
With the continuous expansion of renewable energy in the power grid, a massive number of operating states have been added to the power system. The heavy computational task brings new challenges to the efficiency of reliability assessment. In this reg
Externí odkaz:
https://doaj.org/article/afdf8df1157841fa94b7878cc33bc966
Publikováno v:
Guangdong nongye kexue, Vol 49, Iss 12, Pp 143-150 (2022)
【Objective】In rice seed investigations, the detection methods for rice grain counting and aspect ratios estimating were established based on computer vision technology, which could save labor costs and improve efficiency. It is conductive to the
Externí odkaz:
https://doaj.org/article/f3daa38d0dd7462a8cd110d0e573e790
Autor:
Jin Dai, Xinglin Wang, Xingpan Meng, Xu Zhang, Qihang Zhou, Zhengdong Zhang, Ximin Zhang, Yin Yi, Lunxian Liu, Tie Shen
Publikováno v:
Horticulturae, Vol 9, Iss 12, p 1351 (2023)
Among ornamental plants, the colour of the petals is an important feature. However, the reason for the colour differences of Rhododendron liliiflorum remains unclear. To reveal the differences in the colour of R. liliiflorum, high-efficiency liquid c
Externí odkaz:
https://doaj.org/article/feeedff7f8524d4db4639b6ef53d39c0
Publikováno v:
Guangdong nongye kexue, Vol 49, Iss 6, Pp 100-107 (2022)
【Objective】The study was carried out to improve the accuracy of the deep learning model through adjusting the distribution of training dataset of lab-condition and field-condition images, to reduce the dependence of plant diseases recognition mod
Externí odkaz:
https://doaj.org/article/6ea1234b3f244173a30b71cd03037f52