Zobrazeno 1 - 10
of 21
pro vyhledávání: '"FuPing Jiang"'
Publikováno v:
Brain Sciences, Vol 14, Iss 1, p 34 (2023)
Background: This study aimed to examine the association of lipoprotein(a) [Lp(a)] level with the burden of cerebral small vessel disease (CSVD) in patients with Alzheimer’s disease (AD). Methods: Data from 111 consecutive patients with AD admitted
Externí odkaz:
https://doaj.org/article/b2e0ab1a8fb443eca97746d1cf63be4d
Autor:
Zhou Zhou, Fusang Wang, Tingting Chen, Ziqiao Wei, Chen Chen, Lan Xiang, Liang Xiang, Qian Zhang, Kaizong Huang, Fuping Jiang, Zhihong Zhao, Jianjun Zou
Publikováno v:
Brain Sciences, Vol 13, Iss 8, p 1185 (2023)
Background: Aneurysmal subarachnoid hemorrhage (aSAH) causes long-term functional dependence and death. Early prediction of functional outcomes in aSAH patients with appropriate intervention strategies could lower the risk of poor prognosis. Therefor
Externí odkaz:
https://doaj.org/article/ccebdc30ceb54b84aa5cdb9895b872e7
Autor:
Lin Zhu, Fuping Jiang, Meng Wang, Qian Zhai, Qing Zhang, Feng Wang, Xuqiang Mao, Nihong Chen, Junshan Zhou, Guangjun Xi, Yachen Shi
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
BackgroundFluid-attenuated inversion recovery vascular hyperintensity (FVH) can reflect the collateral status, which may be a valuable indicator to predict the functional outcome of acute stroke (AS) patients.MethodsA total of 190 AS patients with la
Externí odkaz:
https://doaj.org/article/61b179ecbbdb48c8a8b91fa986f174f4
Autor:
Xinping Lin, Shiteng Lin, XiaoLi Cui, Daizun Zou, FuPing Jiang, JunShan Zhou, NiHong Chen, Zhihong Zhao, Juan Zhang, Jianjun Zou
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Background and Purpose: Treatment for mild stroke remains an open question. We aim to develop a decision support tool based on machine learning (ML) algorithms, called DAMS (Disability After Mild Stroke), to identify mild stroke patients who would be
Externí odkaz:
https://doaj.org/article/a77674c89fa042b6b1fb5d0eee73ba6f
Autor:
Yixing Hu, Tongtong Yang, Juan Zhang, Xixi Wang, Xiaoli Cui, Nihong Chen, Junshan Zhou, Fuping Jiang, Junrong Zhu, Jianjun Zou
Publikováno v:
Brain Sciences, Vol 12, Iss 7, p 938 (2022)
The unfavorable outcome of acute ischemic stroke (AIS) with large vessel occlusion (LVO) is related to clinical factors at multiple time points. However, predictive models used for dynamically predicting unfavorable outcomes using clinically relevant
Externí odkaz:
https://doaj.org/article/50294928621b49499590d7c12b0cb9c0
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0178088 (2017)
Concerns over the potential risks of nanomaterials to ecosystem have been raised, as it is highly possible that nanomaterials could be released to the environment and result in adverse effects on living organisms. Carbon dioxide (CO2) is one of the m
Externí odkaz:
https://doaj.org/article/e4661d7ecc764e90b28a67d9ed890a8c
Autor:
Fusang Wang, Xiaohan Zheng, Juan Zhang, Fuping Jiang, Nihong Chen, Mengyi Xu, Yuezhang Wu, Jianjun Zou, Xiaoli Cui, Junshan Zhou
Publikováno v:
Clinical Interventions in Aging. 17:755-766
Fusang Wang,1,2,* Xiaohan Zheng,1,2,* Juan Zhang,3,* Fuping Jiang,4 Nihong Chen,5 Mengyi Xu,5 Yuezhang Wu,2 Junshan Zhou,5Xiaoli Cui,3Jianjun Zou,2,61School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, People’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebe8061addab8f910d3e4590517679b8
https://doi.org/10.2147/cia.s352641
https://doi.org/10.2147/cia.s352641
Autor:
Fuping Jiang, Song Lin, Nihong Chen, Xiaohan Zheng, Jian-Jun Zou, Juan Zhang, Xiaoli Cui, Junshan Zhou, Jinsong Chen, Fusang Wang
Publikováno v:
International Journal of Cardiology. 347:21-27
Background Selecting best candidates for prolonged poststroke cardiac monitoring in acute ischemic stroke (AIS) patients is still challenging. We aimed to develop a machine learning (ML) model to select AIS patients at high risk of poststroke atrial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cfd78feaa78e0bfdfa08ae16f6f0ee7
https://doi.org/10.1016/j.ijcard.2021.11.005
https://doi.org/10.1016/j.ijcard.2021.11.005
Publikováno v:
Journal of Environmental Management. 241:319-327
Engineered nanoparticles (NPs) are now used as additives in pesticides and fungicides and as novel fertilizers in agriculture so there is an urgent need to explore their effects on crop yield and quality in a full life cycle study. In the present stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f163e99539903c000250e5a49d8bf00d
https://doi.org/10.1016/j.jenvman.2019.04.041
https://doi.org/10.1016/j.jenvman.2019.04.041
Autor:
Mengmeng Rui, Baoshan Xing, Chuanxin Ma, Muhammad Adeel, Yukui Rui, Fuping Jiang, Jie Yang, Weidong Cao
Publikováno v:
Journal of Agricultural and Food Chemistry. 66:2589-2597
As a result of the rapid development of nanotechnology, metal-based nanoparticles (NPs) are inadvertently released into the environment and may pose a potential threat to the ecosystem. However, information for food quality and safety in NP-treated c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2054e9a13d06515c3d08e17d6723416
https://doi.org/10.1021/acs.jafc.7b04904
https://doi.org/10.1021/acs.jafc.7b04904