Zobrazeno 1 - 10
of 7 386
pro vyhledávání: '"FENG Cheng"'
Publikováno v:
Advances in Rheumatology, Vol 64, Iss 1, Pp 1-13 (2024)
Abstract Background Immune factors are crucial in the pathogenesis of rheumatoid arthritis (RA), and immune cells play a key role in the development of RA. However, there is still disagreement regarding the specific roles of each type of immune cell
Externí odkaz:
https://doaj.org/article/eb02238fa52e4fec8a9e02bd74bae67e
Autor:
Yinqing Yang, Lei Zhang, Qi Tang, Lingkui Zhang, Xing Li, Shumin Chen, Kang Zhang, Ying Li, Xilin Hou, Feng Cheng
Publikováno v:
Horticultural Plant Journal, Vol 10, Iss 4, Pp 961-970 (2024)
Brassica oleracea has been developed into many important crops, including cabbage, kale, cauliflower, broccoli and so on. The genome and gene annotation of cabbage (cultivar JZS), a representative morphotype of B. oleracea, has been widely used as a
Externí odkaz:
https://doaj.org/article/46b03b67f6e848ba9f72a1d12e8424dc
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Hepatocellular carcinoma (HCC) ranks as the second leading cause of global cancer-related deaths and is characterized by a poor prognosis. Eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) have been proved to play import
Externí odkaz:
https://doaj.org/article/6be795aa0027494ba667787e9f502eea
Autor:
Minghua Li, Yanhong Wang, Xiaoyang Lin, Haiqiang Yang, Xiaolin Zhang, Yun Bai, Xiankun Li, Lulu Zhang, Feng Cheng, Chuanhai Cao, Qingyu Zhou
Publikováno v:
Exploration of Targeted Anti-tumor Therapy, Vol 5, Iss 3, Pp 600-626 (2024)
Aim: The main objective of this study was to investigate the antitumor effect of a mouse anti-human glypican-1 (GPC1) monoclonal antibody (mAb) on non-small cell lung carcinoma (NSCLC) and associated molecular mechanisms. Methods: The anti-proliferat
Externí odkaz:
https://doaj.org/article/83d4b1062b894c658d53bdaea8155123
A Track Initiation Method for FM-based Passive Radar Network Based on Multiple Elementary Hypotheses
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 601-612 (2024)
Passive radars based on FM radio signals have low detection probability, high false alarm rates and poor accuracy, presenting considerable challenges to target tracking in radar networks. Moreover, a high false alarm rate increases the computational
Externí odkaz:
https://doaj.org/article/6887bb53d8944bed8b710ab609530ea8
Autor:
Muhammad Zakaria, Subarna Mazumder, Hasan Mahmud Faisal, Rubaiya Zannat, Md Rejaul Haque, Tanjina Afrin, Feng Cheng, Junfang Xu
Publikováno v:
Journal of Primary Care & Community Health, Vol 15 (2024)
Objectives: This study aims at exploring the effects of physicians’ communication behaviors on patients’ satisfaction in primary care medical consultations in Chattogram, Bangladesh. The study used a quantitative research approach designed with a
Externí odkaz:
https://doaj.org/article/ab74f474cfbd4a7187ec144c60e139c8
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37023- (2024)
Background and aim: Pediatricians commonly use the complete blood count (CBC) of capillary blood to evaluate health status, guide diagnoses, and determine treatment strategies. This study aimed to establish sex- and age-specific reference intervals (
Externí odkaz:
https://doaj.org/article/ca2ec145461c482cb103e23b43237d37
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37409- (2024)
Background: The reference intervals (RIs) is defined as the central 95 % range of reference values from healthy individuals. The establishment of appropriate medical RIs for specific populations is crucial for accurate diagnosis and treatment of dise
Externí odkaz:
https://doaj.org/article/a94e1282ecaf4794a575d9035955df35
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 5, Pp 1887-1893 (2024)
Introduction: Family doctor contract service (FDCS) is a vital part of China’s primary health care system. This study aims to explore whether contracting with FDCS affects residents’ utilization of and satisfaction with primary health care. Metho
Externí odkaz:
https://doaj.org/article/bb3a7176ad0a42c19271bf008c5c8cba
Autor:
Weiyue Chen, Guihan Lin, Yongjun Chen, Feng Cheng, Xia Li, Jiayi Ding, Yi Zhong, Chunli Kong, Minjiang Chen, Shuiwei Xia, Chenying Lu, Jiansong Ji
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background This study aimed to develop and validate a machine learning (ML)-based fusion model to preoperatively predict Ki-67 expression levels in patients with head and neck squamous cell carcinoma (HNSCC) using multiparametric magnetic re
Externí odkaz:
https://doaj.org/article/f515e2412a5645be9e76752bd387f5d2