Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Jingjing Dai"'
Publikováno v:
Health Science Reports, Vol 7, Iss 11, Pp n/a-n/a (2024)
ABSTRACT Objective To explore the clinical effect of personalized brace based on 3D printing technology in the treatment of stenosing tenosynovitis. Methods From September 2021 to June 2023, 20 patients with stenosing tenosynovitis were collected and
Externí odkaz:
https://doaj.org/article/c57ec8abe64c44738254dffacf770d01
Autor:
Jingjing Dai, Bo Yang, Abdusemer Reyimu, Weiqiang Li, Wubi Zhou, Xiang Wang, Weijie Dai, Wan Wang, Jianghong Yan, Suxia Hu
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e38729- (2024)
Objective: To analyze the expression and mechanism of prognosis related differentially expressed genes (DEGs) in hepatocellular carcinoma (HCC), and establish a prognosis risk model of prognosis related DEGs. Methods: Transcriptome data and clinical
Externí odkaz:
https://doaj.org/article/10e22652b9f8439188755818539a638f
Autor:
Guihua Hao, Xiaomei Zhao, Weiwei Fu, Yiwen Wu, Jingjing Dai, Yifeng Qian, Tian Xie, Lili Hou, Wentao Shi
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
Study objectivesThe Oxidative Balance Score (OBS), which reflects overall oxidation through diet and lifestyle, has been linked to sleep, but few studies have clarified this relationship. We investigated the association between OBS and sleep duration
Externí odkaz:
https://doaj.org/article/a7f25b270631466cbb53ae57f97258ee
Publikováno v:
iScience, Vol 27, Iss 11, Pp 111101- (2024)
Summary: As environmental awareness grows, the agricultural sector must balance rising product demands with sustainable development. This study investigates the relationship between agricultural trade and green technological innovation, emphasizing h
Externí odkaz:
https://doaj.org/article/b97bb30f87cf489ab6b68c58ef656474
Publikováno v:
Journal of Applied Economics, Vol 27, Iss 1 (2024)
The study aims to explore the spatial association network characteristics of biased green innovation in the manufacturing sector and its core drivers. This study constructs a Malmquist-Luenberger decomposition index model to identify the input and ou
Externí odkaz:
https://doaj.org/article/20450be13668460a80a783198c3d4b1a
Autor:
Xiaodong Li, Chuanyuan Mao, Guantong Sun, Chen Zhao, Jingjing Dai, Fei Yang, Lei Wang, Xiaoqing Wang
Publikováno v:
View, Vol 5, Iss 4, Pp n/a-n/a (2024)
Abstract The lack of a cure for osteoarthritis (OA), a prevalent joint disease among older individuals, remains an ongoing challenge. Obesity is a common risk factor for OA. Chondrocyte autophagy plays a crucial role in delaying the onset of OA. Our
Externí odkaz:
https://doaj.org/article/69b619a1cce9458fa06cbeef446ac6a0
Autor:
Ruizhi Zhang, Jingjing Dai, Feifan Yao, Suiqing Zhou, Wei Huang, Jiali Xu, Kai Yu, Yining Chen, Boqiang Fan, Liren Zhang, Jing Xu, Qing Li
Publikováno v:
iScience, Vol 27, Iss 6, Pp 109821- (2024)
Summary: The cyclic AMP-responsive element-binding protein (CREB)-regulated transcription coactivator 2 (CRTC2) is a crucial regulator of hepatic lipid metabolism and gluconeogenesis and correlates with tumorigenesis. However, the mechanism through w
Externí odkaz:
https://doaj.org/article/8a886f1deb8943568b9dd6f6d0be7c7b
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 1, Pp 56-64 (2024)
Great potential of underground gas/energy storage in salt caverns seems to be a promising solution to support renewable energy. In the underground storage method, the operating cycle unfortunately may reach up to daily or even hourly, which generates
Externí odkaz:
https://doaj.org/article/b6ae731f400542c4891dc73e578dcd12
Autor:
Jingjing Dai, Liren Zhang, Ruizhi Zhang, Jing Ge, Feifan Yao, Suiqing Zhou, Jiali Xu, Kai Yu, Jing Xu, Longfeng Jiang, Ke Jin, Xinzheng Dai, Jun Li, Qing Li
Publikováno v:
Cellular and Molecular Gastroenterology and Hepatology, Vol 17, Iss 3, Pp 399-421 (2024)
Background & Aims: Metabolic dysfunction–associated steatohepatitis (MASH) is a common chronic liver disease worldwide. No effective pharmacologic therapies for MASH have been developed; to develop such promising drugs, the underlying mechanisms re
Externí odkaz:
https://doaj.org/article/a13a428fe0854d8e8198a0b371ffe89a
Autor:
Jing Wang, Jingjing Dai, Na Li, Chulong Zhang, Jiankai Zhang, Zuledesi Silayi, Haodi Wu, Yaoqing Xie, Xiaokun Liang, Huailing Zhang
Publikováno v:
Bioengineering, Vol 11, Iss 11, p 1051 (2024)
Respiratory-induced tumor motion presents a critical challenge in lung cancer radiotherapy, potentially impacting treatment precision and efficacy. This study introduces an innovative, deep learning-based approach for real-time, markerless lung tumor
Externí odkaz:
https://doaj.org/article/056169d728734418a41255d31fae1061