Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Xiuling Liu"'
Autor:
Liguo Zhang, Zhen Qiao, Yinsheng Yao, Zhiqiang Li, Lingzhi Hu, Yinyan Mao, Xiuling Liu, Weirong Chen, Qing'an Zeng, Hong Zhao
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e27837- (2024)
However, it is still difficult for clinicians to establish prognostic stratifications and therapeutic strategies because of the lack of tools for predicting the survival of triple-negative breast cancer patients with liver metastases (TNBC-LM). Based
Externí odkaz:
https://doaj.org/article/311cf743c846405f81082146ac96c63c
Autor:
Xiaoguang Liu, Mingjin Zhang, Jiawei Wang, Xiaodong Wang, Tie Liang, Jun Li, Peng Xiong, Xiuling Liu
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 11139-11154 (2023)
To solve the problem of missing data features using a deep convolutional neural network (DCNN), this paper proposes an improved gesture recognition method. The method first extracts the time-frequency spectrogram of surface electromyography (sEMG) us
Externí odkaz:
https://doaj.org/article/768495aba26f420589b1ff2ded71e6ce
Autor:
Yuqin Yang, Liguo Zhang, Wenjing Tian, Yijie Li, Qi Qin, Yinyan Mao, Xiuling Liu, Jiawei Hong, Lingzhi Hu, Qing’an Zeng, Qingling Zhang, Hong Zhao
Publikováno v:
Cancer Medicine, Vol 12, Iss 7, Pp 7951-7961 (2023)
Abstract Background Brain metastasis (BM) in triple‐negative breast cancer (TNBC) patients is associated with significant morbidity and mortality. In this research we aimed to develop a nomogram to predict the prognosis of TNBC patients with BMs (T
Externí odkaz:
https://doaj.org/article/d4c9128fe6174382a4e70389b107d209
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-15 (2023)
Abstract Background and objective Sudden cardiac death (SCD) is one of the leading causes of death in cardiovascular diseases. Monitoring the state of the heart in real time and giving early warning of possible dangers by using ambulate electrocardio
Externí odkaz:
https://doaj.org/article/2a5deb1d1bf044f9afb31bb9f090e3a1
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8049-8067 (2023)
Abnormal gait recognition is important for detecting body part weakness and diagnosing diseases. The abnormal gait hides a considerable amount of information. In order to extract the fine, spatial feature information in the abnormal gait and reduce t
Externí odkaz:
https://doaj.org/article/9d1b532f1e694ef1b8349c7ec5c40a77
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1230-1237 (2023)
Gait movement is an important activity in daily human life. The coordination of gait movement is directly affected by the cooperation and functional connectivity between muscles. However, the mechanisms of muscle operation at different gait speeds re
Externí odkaz:
https://doaj.org/article/3ec2ce774de04081874bfc88a1ce509c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 3237-3260 (2023)
The maturity of human-computer interaction technology has made it possible to use surface electromyographic signals (sEMG) to control exoskeleton robots and intelligent prostheses. However, the available upper limb rehabilitation robots controlled by
Externí odkaz:
https://doaj.org/article/8b04277478424482a21b4279dc6d3bbc
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 1856-1881 (2023)
Background: Gastric cancer (GC) ranks fifth in prevalence among carcinomas worldwide. Both pyroptosis and long noncoding RNAs (lncRNAs) play crucial roles in the occurrence and development of gastric cancer. Therefore, we aimed to construct a pyropt
Externí odkaz:
https://doaj.org/article/58bdfcd6b83b48248ac807a7ae334301
Autor:
Ruikai Li, Yixing Zhang, Guangwei Fan, Ziteng Li, Jun Li, Shiyong Fan, Cunguang Lou, Xiuling Liu
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionThe collection and process of human brain activity signals play an essential role in developing brain-computer interface (BCI) systems. A portable electroencephalogram (EEG) device has become an important tool for monitoring brain activit
Externí odkaz:
https://doaj.org/article/b06c7d947224414baf4b1049b0fe2502
Publikováno v:
Photoacoustics, Vol 31, Iss , Pp 100515- (2023)
A light-induced thermoelastic spectroscopy (LITES) gas detection method based on CH3NH3PbI3 perovskite-coated quartz tuning fork (QTF) was proposed. By coating CH3NH3PbI3 thin film on the surface of ordinary QTF, a Schottky junction with silver elect
Externí odkaz:
https://doaj.org/article/b3ccf82ed3a141fba318a2c0ff1ce207