Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Xiangjun Yin"'
Autor:
Nan Zhao, Xiangjun Yin, Lin Chen, Shunyu Tang, Hua Lin, Lu Cui, Xiaolan Jin, Zhongjian Xie, Ning Jiang, Lijia Cui, Wei Yu, Steven R. Cummings, Linhong Wang, Weibo Xia
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
ObjectiveDespite the fact that China amounts to one-fifth of the world’s population, has a higher proportion of the elderly, and has a higher prevalence of osteoporosis and fracture, limited studies have investigated the association between dietary
Externí odkaz:
https://doaj.org/article/9932f32dacf840ffb77b741bd11124a2
Autor:
Xiangjun Yin, Min Li, Yongzhi Wang, Guifang Zhao, Tao Yang, Yuqing Zhang, Jianbo Guo, Tiantian Meng, Ruolin Du, Honglin Li, Zhe Wang, Jian Zhang, Qingyong He
Publikováno v:
Clinical Epigenetics, Vol 15, Iss 1, Pp 1-14 (2023)
Abstract Background Huazhuo Tiaozhi granule (HTG) is a herbal medicine formula widely used in clinical practice for hypolipidaemic effects. However, the molecular mechanisms underlying dyslipidaemia treatment have not been well elucidated. Results A
Externí odkaz:
https://doaj.org/article/57f2bd54839f4951b75433724fb89436
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Lung adenocarcinoma (LUAD) is a major subtype of lung cancer, the prognosis of patients with which is associated with both lncRNAs and cancer immunity. In this study, we collected gene expression data of 585 LUAD patients from The Cancer Genome Atlas
Externí odkaz:
https://doaj.org/article/41431169c2644dd8b93aec6d7991dd52
Autor:
QianYu Bi, MengRan Wang, Fang Zhao, Meng Wang, XiangJun Yin, JiaZhao Ruan, DeLong Wang, XuMing Ji
Publikováno v:
Frontiers in Pharmacology, Vol 11 (2020)
Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer death. It is necessary to develop effective anti-lung cancer therapeutics. Wenxia Formula (WXF), an empirical traditional Chinese herbal formula, has been reported to h
Externí odkaz:
https://doaj.org/article/2a24cdc7fa8d45ec8f73dc5f696680cc
Autor:
Delong Wang, Weiqiao Chen, Qianyu Bi, Xin Zong, Jiazhao Ruan, Xiangjun Yin, Jixin Wang, Honghua Zhang, Xuming Ji
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Cancer cachexia is a multifactorial syndrome characterized by continuous body wasting and loss of skeletal muscle. Impaired mitochondria function is closely associated with muscle atrophy in cancer cachexia. Our previous study confirmed the effective
Externí odkaz:
https://doaj.org/article/0eb14a176781480999c39acb0b3c3ee0
Publikováno v:
IEEE Access, Vol 6, Pp 44894-44904 (2018)
Accurate signal recovery from an underdetermined system of linear equation (USLE) is a topic of considerable interest; such as compressed sensing (CS), recovery of low-rank matrix, blind source separation, and related fields. In order to improve the
Externí odkaz:
https://doaj.org/article/ad801e674cda4ee49be27988a11647e0
Autor:
Fafeng Cheng, Chongyang Ma, Xueqian Wang, Changming Zhai, Guoli Wang, Xiaolin Xu, Jie Mu, Changxiang Li, Zisong Wang, Xiaoyu Zhang, Wenchao Yue, Xin Du, Yajun Lian, Wenxiang Zhu, Xiangjun Yin, Zhen Wei, Wenjie Song, Qingguo Wang
Publikováno v:
BMC Complementary and Alternative Medicine, Vol 17, Iss 1, Pp 1-10 (2017)
Abstract Background Nonalcoholic fatty liver disease (NAFLD) represents one of the most common forms of liver disease worldwide, and it is always regarded as a consequence of a sedentary, food-abundant lifestyle, sitting for an extended time, and a l
Externí odkaz:
https://doaj.org/article/32330ff495cb41048701a6673991fe51
Publikováno v:
Sensors, Vol 18, Iss 12, p 4260 (2018)
Compressed sensing (CS) theory has attracted widespread attention in recent years and has been widely used in signal and image processing, such as underdetermined blind source separation (UBSS), magnetic resonance imaging (MRI), etc. As the main link
Externí odkaz:
https://doaj.org/article/043bf53182864db4ad6d02b549f95762
Publikováno v:
Symmetry, Vol 10, Iss 11, p 583 (2018)
Sparse-signal recovery in noisy conditions is a problem that can be solved with current compressive-sensing (CS) technology. Although current algorithms based on L 1 regularization can solve this problem, the L 1 regularization mechanism cannot promo
Externí odkaz:
https://doaj.org/article/7a07dcb6fde04d64869498b94c3f2cc2
Publikováno v:
Neural Computing and Applications.