Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Binbin Du"'
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Objective We assessed the predictive capacity of computed tomography (CT)-enhanced radiomics models in determining microvascular invasion (MVI) for isolated hepatocellular carcinoma (HCC) ≤ 5 cm within peritumoral margins of 5 and 10 mm. M
Externí odkaz:
https://doaj.org/article/71ecffa13fb5413482f5b07200c5b17b
Autor:
Yi Sun, Zhongxiang Lu, Hongjie Yang, Peishi Jiang, Zhichun Zhang, Jiafei Liu, Yuanda Zhou, Peng Li, Qingsheng Zeng, Yu Long, Laiyuan Li, Binbin Du, Xipeng Zhang
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionLateral lymph node (LLN) metastasis in rectal cancer significantly affects patient treatment and prognosis. This study aimed to comprehensively compare the performance of various predictive models in predicting LLN metastasis.MethodsIn th
Externí odkaz:
https://doaj.org/article/57b4bafeda534715a0247087fd039bde
Publikováno v:
Frontiers in Plant Science, Vol 14 (2024)
Improving barley grain quality is a major goal in barley breeding. In this study, a total of 35 papers focusing on quantitative trait loci (QTLs) mapping for barley quality traits published since 2000 were collected. Among the 454 QTLs identified in
Externí odkaz:
https://doaj.org/article/2f0c75fd514c4632aea715af181dab3b
Autor:
Binbin Du, Jia Wu, Qingming Wang, Chaoyue Sun, Genlou Sun, Jie Zhou, Lei Zhang, Qingsong Xiong, Xifeng Ren, Baowei Lu
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303751 (2024)
Increasing yield is an important goal of barley breeding. In this study, 54 papers published from 2001-2022 on QTL mapping for yield and yield-related traits in barley were collected, which contained 1080 QTLs mapped to the barley high-density consen
Externí odkaz:
https://doaj.org/article/1504056f5daa44c4a8d6a8fc0f09182c
Publikováno v:
Case Studies in Thermal Engineering, Vol 49, Iss , Pp 103312- (2023)
Externí odkaz:
https://doaj.org/article/e2e30c935cc84a129c7fe074cec1aae0
Publikováno v:
Case Studies in Thermal Engineering, Vol 39, Iss , Pp 102401- (2022)
Thermal discomfort, fuel wastage, health risks, and the death threat of passengers/infants due to the hot soak of car cabin is a hot spot topic all the time. Therefore, the transient analysis method is used to study the distribution of the heat soak
Externí odkaz:
https://doaj.org/article/1926a476ab524817a5f642e41797c9c3
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundHepatocellular carcinoma (HCC) is the sixth leading type of cancer worldwide. We aimed to develop a preoperative predictive model of the risk of early tumor recurrence after HCC treatment based on radiomic features of the peritumoral region
Externí odkaz:
https://doaj.org/article/1e3d85a358024259a1737309e7d55a06
Autor:
Caiwen Han, Peijing Yan, Wutang Jing, Meixuan Li, Binbin Du, Moubo Si, Jia Yang, Kehu Yang, Hui Cai, Tiankang Guo
Publikováno v:
Asian Journal of Surgery, Vol 43, Iss 9, Pp 880-890 (2020)
Summary: Although several meta-analyses regarding robot-assisted proctectomy (RP) and laparoscopic proctectomy (LP) in patients with rectal cancer are constantly being published, meta-analyses considering randomized controlled trials (RCTs) are still
Externí odkaz:
https://doaj.org/article/ec518729ad0d4afeae565e0d2fd63f48
Publikováno v:
Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-10 (2020)
Abstract Background and objectives In hepatocellular carcinoma (HCC) patients, microvascular invasion (MVI) is associated with worse outcomes regardless of treatment. No single reliable preoperative factor exists to predict MVI. The aim of the work d
Externí odkaz:
https://doaj.org/article/f00d8ebdf2134e019d97443da67ec77e
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0276602 (2022)
Flag leaf is an important organ for photosynthesis of wheat plants, and a key factor affecting wheat yield. In this study, quantitative trait loci (QTL) for flag leaf morphological traits in wheat reported since 2010 were collected to investigate the
Externí odkaz:
https://doaj.org/article/9e017542c06b414da731399affbebc83