Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Qingyu Song"'
Autor:
Qingyu Song, Pengchao Wang, Jingyu Wu, Ming Lu, Qingcheng Xia, Yexin Shi, Zijun Wang, Xiang Ma, Qinghong Zhao
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Background Chondroitin polymerizing factor (CHPF) has been found to be involved in the development of numerous cancers and correlated with poor prognosis. However, its role in the tumorigenesis and development of colorectal cancer (CRC) rema
Externí odkaz:
https://doaj.org/article/458be184bb5344ea827173a4d8b8d368
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37290- (2024)
Background: Long non-coding RNAs (lncRNAs) have been demonstrated to be useful in assessing the prognosis of cancer patients. However, few studies have focused on 5-methylcytosine-related lncRNAs (m5C-lncRNAs) in gastric cancer (GC). In this study, w
Externí odkaz:
https://doaj.org/article/d810a421bb394642b4f2ee764a5af59b
Publikováno v:
World Journal of Surgical Oncology, Vol 20, Iss 1, Pp 1-17 (2022)
Abstract Background The aim of this study was to develop comprehensive and effective nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) rates in patients with colorectal mucinous adenocarcinoma (CRMA). Methods A total o
Externí odkaz:
https://doaj.org/article/7ead70a0cc62435f8ba98196d9424255
Publikováno v:
Energies, Vol 17, Iss 1, p 156 (2023)
Torque control accuracy is a significant index of permanent magnet synchronous motors (PMSMs) and affects the safety of many applications greatly. Due to the strong nonlinearity of the motor as well as the disturbance of non-ideal factors such as tem
Externí odkaz:
https://doaj.org/article/ab8c283bc47e4b769e5c590886fa1225
Autor:
Qingyu Song, Xueyun Chen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7988-7996 (2022)
Vehicle detection in remote sensing images is of great significance to urban traffic intelligence. Though existing vehicle detection methods for remote sensing images such as fully convolutional regression network, spatial density building net, and p
Externí odkaz:
https://doaj.org/article/8b8ba33c2ad24505852287b7b9bf83e7
Autor:
Xiang Ma, Shipei Qiu, Xin Tang, Qingyu Song, Pengchao Wang, Jiawei Wang, Qingcheng Xia, Zijun Wang, Qinghong Zhao, Ming Lu
Publikováno v:
Translational Oncology, Vol 20, Iss , Pp 101423- (2022)
Gastric cancer (GC) is one of the most common human malignancies worldwide, but the molecular mechanism of GC has not been fully elucidated. Tetraspanin 31 (TSPAN31) has been rarely studied in human malignant tumors. This study aimed to investigate t
Externí odkaz:
https://doaj.org/article/695b26a941e443f98587af8c39404909
Autor:
Yonghui Fan, Zhaoyan Lv, Yuxing Li, Boya Qin, Qingyu Song, Liangliang Ma, Qianqian Wu, Wenjing Zhang, Shangyu Ma, Chuanxi Ma, Zhenglai Huang
Publikováno v:
Agronomy, Vol 12, Iss 6, p 1386 (2022)
High temperature stress during grain filling substantially decreases wheat productivity; thus, to ensure food security, heat tolerance in wheat must be developed. It remains unclear whether exogenous salicylic acid (SA) can induce tolerance to high t
Externí odkaz:
https://doaj.org/article/edc4b3aeb1ae4d348cd57b37e6456019
Autor:
Qingyu Song, Jingjing Gu, Jian Wu, Fuzhen Zhuang, Jintai Chen, Tingting Liang, Haochao Ying, Danny Z. Chen
Publikováno v:
Neurocomputing. 453:347-356
Early detection of signet ring cell carcinoma (SRCC) can significantly improve patient survival rate. Pathological image analysis is applied as the golden standard for SRCC diagnosis. Automatic detection of pathological cells with deep learning metho
Autor:
Pengchao, Wang, Qingyu, Song, Ming, Lu, Qingcheng, Xia, Zijun, Wang, Qinghong, Zhao, Xiang, Ma
Background The aim of this study was to develop comprehensive and effective nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) rates in patients with colorectal mucinous adenocarcinoma (CRMA). Methods A total of 4711 CR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0984aa806ef4444c8987a2a7bc86d999
https://doi.org/10.21203/rs.3.rs-1861874/v1
https://doi.org/10.21203/rs.3.rs-1861874/v1
Publikováno v:
Jisuanji kexue yu tansuo, Vol 15, Iss 2, Pp 261-269 (2021)
In recent years, Coflow scheduling has become a research hotspot in data center network. However, it is difficult for existing non-clairvoyant Coflow schedulers to infer the task information quickly. Therefore, small tasks cannot be scheduled in time