Zobrazeno 1 - 10
of 2 242
pro vyhledávání: '"Xia Ning"'
Autor:
Vishal Dey, Xia Ning
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract Pretrained Graph Neural Networks have been widely adopted for various molecular property prediction tasks. Despite their ability to encode structural and relational features of molecules, traditional fine-tuning of such pretrained GNNs on th
Externí odkaz:
https://doaj.org/article/f03615e6a918444db0a981439348f898
Autor:
Rui Wang, Xin Tan, Yutong Liu, Lifan Fan, Qiqi Yan, Chen Chen, Wenhao Wang, Wanrou Zhang, Zhihua Ren, Xia Ning, Shuting Wei, Tingting Ku, Nan Sang
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 283, Iss , Pp 116859- (2024)
The developmental toxicity and human health risks of triazole fungicides (TFs) have attracted worldwide attention due to the ability to enter the human body in a variety of ways. Nevertheless, the specific mechanism by which TFs exert remains incompl
Externí odkaz:
https://doaj.org/article/1ff9ec8f9cac45c5af7c8fdf9d2c62e5
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 5, Pp 87-90 (2024)
Objective Riveting quality issues cannot be visually judged. By employing the far-field eddy current testing method, internal quality defects in riveted structural components can be detected, providing theoretical and technical support for product qu
Externí odkaz:
https://doaj.org/article/a2c34d06d7254f5ebcd392c39752af16
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract Due to cancer’s complex nature and variable response to therapy, precision oncology informed by omics sequence analysis has become the current standard of care. However, the amount of data produced for each patient makes it difficult to qu
Externí odkaz:
https://doaj.org/article/c04c393896724d0aaf1c7a17a3472ef2
Autor:
Xiaohua Hu, Yutong Li, Hua Qu, Chunying He, Zhiyan Chen, Min Zhan, Yida Du, Huan Wang, Wenjie Chen, Linjuan Sun, Xia Ning
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
ObjectiveExisting literature has not clearly elucidated whether SARS-CoV-2 infection increases the incidence of Parkinson’s disease or if Parkinson’s disease patients are more susceptible to the effects of SARS-CoV-2 infection. To clarify the iss
Externí odkaz:
https://doaj.org/article/4d9da855abfa4848a97812c10cc95c11
Autor:
Yonghyun Nam, Anastasia Lucas, Jae-Seung Yun, Seung Mi Lee, Ji Won Park, Ziqi Chen, Brian Lee, Xia Ning, Li Shen, Anurag Verma, Dokyoon Kim
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-13 (2023)
Abstract Background Computational drug repurposing is crucial for identifying candidate therapeutic medications to address the urgent need for developing treatments for newly emerging infectious diseases. The recent COVID-19 pandemic has taught us th
Externí odkaz:
https://doaj.org/article/4de5213b4ae448bbad2dce444041c71e
Autor:
Nitin Nikamanth Appiah Balaji, MS, Cynthia L. Beaulieu, PhD, Jennifer Bogner, PhD, Xia Ning, PhD
Publikováno v:
Archives of Rehabilitation Research and Clinical Translation, Vol 5, Iss 4, Pp 100295- (2023)
Objective: To investigate the performance of machine learning (ML) methods for predicting outcomes from inpatient rehabilitation for subjects with TBI using a dataset with a large number of predictor variables. Our second objective was to identify to
Externí odkaz:
https://doaj.org/article/f74fc0500ed7450e85b2b370cf70e917
Autor:
Zhihua Ren, Mengyao Ren, Zhendong Sun, Yuzhu Zhang, Yixue Cai, Xiao Wang, Tingting Ku, Xia Ning, Nan Sang
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 268, Iss , Pp 115668- (2023)
Externí odkaz:
https://doaj.org/article/104ecbc4d26d4d10a908f3d952af2310
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-19 (2023)
Abstract Retrosynthesis is a procedure where a target molecule is transformed into potential reactants and thus the synthesis routes can be identified. Recently, computational approaches have been developed to accelerate the design of synthesis route
Externí odkaz:
https://doaj.org/article/480fb60db89f4f459d39885a7d8ea005
Autor:
Ruifeng Yan, Danni Ma, Yutong Liu, Rui Wang, Lifan Fan, Qiqi Yan, Chen Chen, Wenhao Wang, Zhihua Ren, Tingting Ku, Xia Ning, Nan Sang
Publikováno v:
Toxics, Vol 12, Iss 4, p 274 (2024)
Particulate matter of size ≤ 2.5 μm (PM2.5) is a critical environmental threat that considerably contributes to the global disease burden. However, accompanied by the rapid research progress in this field, the existing research on developmental to
Externí odkaz:
https://doaj.org/article/df9157a9cf3d418eac5da7b1a0b62474