Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Weiwei, Ren"'
Autor:
Weiwei REN, Mengting XU, Wenxian CHEN, Mengya GU, Shanshan ZENG, Shan JIN, Baiwen CHEN, Naixing YE
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 24, Pp 263-271 (2024)
To investigate the aroma quality characteristics of Anxi Huang Jingui Oolong tea under various rolling methods, this study used headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) in conjunction with sensory eva
Externí odkaz:
https://doaj.org/article/8cd6e888016d4ce7bb7a1a3fe3504233
Publikováno v:
Molecular Medicine, Vol 30, Iss 1, Pp 1-14 (2024)
Abstract Background Patients with type 2 diabetes often face early tubular injury, necessitating effective treatment strategies. This study aimed to evaluate the impact of the SGLT2 inhibitor empagliflozin on early tubular injury biomarkers in type 2
Externí odkaz:
https://doaj.org/article/cc533448d7aa46769f24c41e9b4e368e
Autor:
Qiao Wang, Weiwei Ren, Lifan Wang, Xiaolong Li, Anqi Zhu, Dandan Shan, Jing Wang, Yujing Zhao, Danhua Li, Tian Tian Ren, Lehang Guo, Huixiong Xu, Liping Sun
Publikováno v:
Ultrasonography, Vol 43, Iss 4, Pp 238-249 (2024)
Purpose This study examined the diagnostic value of high-frequency ultrasound (HFUS) features in differentiating between benign and malignant skin lesions. Methods A total of 1,392 patients with 1,422 skin lesions who underwent HFUS examinations were
Externí odkaz:
https://doaj.org/article/da65f420d4a64d3cb618945768e6ff70
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3723 (2024)
Gross primary productivity (GPP) is vital for ecosystems and the global carbon cycle, serving as a sensitive indicator of ecosystems’ responses to climate change. However, the impact of future climate changes on GPP in the Tibetan Plateau, an ecolo
Externí odkaz:
https://doaj.org/article/0e644b974d414eb7bdd85382c6c8ee5d
Publikováno v:
ACS Omega, Vol 8, Iss 50, Pp 47678-47689 (2023)
Externí odkaz:
https://doaj.org/article/91985788fe0a4fa0b0b5080177aa00e8
Autor:
Weiwei Ren, Yunlu Feng, Youzhen Feng, Jiaying Li, Chuangbiao Zhang, Lie Feng, Lijuan Cui, Jianmin Ran
Publikováno v:
Lipids in Health and Disease, Vol 22, Iss 1, Pp 1-9 (2023)
Abstract Objective This study investigated the correlation of liver fat content (LFC) with metabolic characteristics and its association with chronic complications in type 2 diabetes mellitus (T2DM) patients. Methods Eighty-one prospectively enrolled
Externí odkaz:
https://doaj.org/article/c8bc4ee0093e4461a7003bfef3719d6c
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 956 (2024)
Accurately simulating glacier mass balance (GMB) data is crucial for assessing the impacts of climate change on glacier dynamics. Since physical models often face challenges in comprehensively accounting for factors influencing glacial melt and uncer
Externí odkaz:
https://doaj.org/article/c03aff122c594d5ba86542286152dd44
Publikováno v:
Diagnostics, Vol 13, Iss 21, p 3305 (2023)
Background: Dermatofibroma has various pathological classifications, some of which pose a risk of recurrence and metastasis. Distinguishing these high-risk dermatofibromas based on appearance alone can be challenging. Therefore, high-frequency ultras
Externí odkaz:
https://doaj.org/article/4ca52d5dc113430caad59eda6f5b6f7e
Publikováno v:
智能科学与技术学报, Vol 3, Pp 399-411 (2021)
With the breakthrough of deep learning technology and the proposal of large data sets, the accuracy of pedestrian trajectory prediction has become one of the research hotspots in the field of artificial intelligence.The technical classification and r
Externí odkaz:
https://doaj.org/article/b0a27e033df1426daaaa7a6c57751834
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4527 (2023)
Due to the scarcity of observational data and the intricate precipitation–runoff relationship, individually applying physically based hydrological models and machine learning (ML) techniques presents challenges in accurately predicting floods withi
Externí odkaz:
https://doaj.org/article/c04805aedc634987bf410a6ec4d4fc75