Lei Hu^1,2,#, Meng Chen^2,3,#, Haiming Dai^2,3,4, Hongzhi Wang^2,3,4,*, Wulin Yang^2,3,4,*

Oncologie, Vol.24, No.4, pp. 803-822, 2022, DOI:10.32604/oncologie.2022.026419 - 31 December 2022

Abstract Background and Aim: Hundreds of consistently altered metabolic genes have been identified in breast cancer (BC), but their prognostic value remains to be explored. Therefore, we aimed to build a prediction model based on metabolism-related genes (MRGs) to guide BC prognosis. Methods: Current work focuses on constructing a novel MRGs signature to predict the prognosis of BC patients using MRGs derived from the Virtual Metabolic Human (VMH) database, and expression profiles and clinicopathological data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Results: The 3-MRGs-signature constructed by SERPINA1, QPRT and PXDNL was found… More >

Qian Zhang^1,2,#, Yuanyuan Cao^2,#, Mingming Fang³, Qin Yang², Pingyang Zhang^1,*

Oncologie, Vol.24, No.4, pp. 717-727, 2022, DOI:10.32604/oncologie.2022.026998 - 31 December 2022

Abstract Background: Breast cancer (BC) is the most common malignant tumor in women, and its morbidity and mortality are increasing each year, due to the lack of specific clinical symptoms in the early stage of BC, and the lack of diagnostic methods for early breast cancer. Therefore, identifying an effective diagnostic method for early BC has become urgent. Materials and Methods: Breast lesions with a histological diagnosis that were examined by ultrasonic elastography (UE) in our department from June 2020 to December 2021 were reviewed. qRT-PCR was performed to measure the expression levels of miR-144-5p and miR-26b-5p in… More >

Mengjie Li^1,#, Jun Wei^2,#, Guihua Xu^3,#, Ying Liu^3,*, Jian Zhu^3,*

Oncologie, Vol.24, No.2, pp. 349-356, 2022, DOI:10.32604/oncologie.2022.022436 - 29 June 2022

Abstract Gastrointestinal stromal tumors (GISTs) are rare neoplasms arising from mesenchymal cells of the digestive tract and abdomen. Only a few isolated cases of giant esophageal GISTs (greater than 5 cm in size) have been reported with clinical features and surgical methods. Radical esophagectomy with negative margins, followed by gastric tube reconstruction, is recommended for giant esophageal GISTs. However, patients undergoing this type of surgery experienced a sharp decrease in food intake (due to the removal of most of the stomach) and were prone to eating regurgitation, resulting in poor quality of life. We describe the… More >

Xingjun Meng^1,#, Zhihui Cao^2,#, Renfeng Liu^3,#, Kai Zheng⁴, Shuai Ding⁵, Yuefan Gu⁴, Yonghua Chen⁶, Jun Lv⁷, Ping Li⁸, Li Zhou⁹, Wenbo Wang¹⁰, Shiliang Ji¹¹, Hui He^12,*, Hui Yang^9,*

Oncologie, Vol.24, No.2, pp. 283-294, 2022, DOI:10.32604/oncologie.2022.021259 - 29 June 2022

Abstract It is widely accepted that tumor metastasis is the dominant factor leading to cancer-related death. Tumor metastasis is mediated by cell invasion, blood circulation and lymphatic circulation. Paclitaxel, as a common anti-tumor drug and a mitotic inhibitor, promotes microtubule assembly and inhibits microtubule depolymerization. In addition, ticagrelor, an anti-platelet drug, is used to treat acute coronary syndrome. Increasing numbers of studies have reported that platelets can facilitate tumor metastasis. Therefore, inhibiting the effects of platelets can serve as a novel therapeutic strategy for cancer. To explore the effect of anti-tumor and anti-platelet drugs on tumor More >

Zejie Wang¹, Qianxin Wang^1,*, Sanxi Li²

CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.3, pp. 823-843, 2022, DOI:10.32604/cmes.2022.020106 - 27 June 2022

Abstract The combination of Precision Point Positioning (PPP) with Multi-Global Navigation Satellite System (MultiGNSS), called MGPPP, can improve the positioning precision and shorten the convergence time more effectively than the combination of PPP with only the BeiDou Navigation Satellite System (BDS). However, the Inter-System Bias (ISB) measurement of Multi-GNSS, including the time system offset, the coordinate system difference, and the inter-system hardware delay bias, must be considered for Multi-GNSS data fusion processing. The detected ISB can be well modeled and predicted by using a quadratic model (QM), an autoregressive integrated moving average model (ARIMA), as well… More >

Jiabao Shi¹, Zhao Qiu^1,*, Tao Chen¹, Jiale Lin¹, Hancheng Huang², Yunlong He³, Yu Yang³

Journal of New Media, Vol.4, No.2, pp. 97-106, 2022, DOI:10.32604/jnm.2022.027176 - 13 June 2022

Abstract Big data is a comprehensive result of the development of the Internet of Things and information systems. Computer vision requires a lot of data as the basis for research. Because skeleton data can adapt well to dynamic environment and complex background, it is used in action recognition tasks. In recent years, skeleton-based action recognition has received more and more attention in the field of computer vision. Therefore, the keypoints of human skeletons are essential for describing the pose estimation of human and predicting the action recognition of the human. This paper proposes a skeleton point More >

ZHENKUI CUI^1,#,*, GUIQIN SUN^2,#,*, QUANZHI ZHAO¹

BIOCELL, Vol.46, No.9, pp. 2133-2144, 2022, DOI:10.32604/biocell.2022.020512 - 18 May 2022

Abstract Cotton is widely distributed worldwide, and improving the quality of its fiber is one of the most important tasks in cotton breeding. Cotton fibers are primarily composed of cellulose, which is synthesized by CesA complexes (CSCs). However, the functions of CesA genes in cotton fiber development have not been comprehensively analysed. In this study, the cotton transcriptome and metabolome were used to investigate the function of CesA genes in fiber development. Finally, 321 metabolites were obtained, 84 of which were associated with the corresponding genes. Interestingly, a target gene named Gh_A08G144300, one of the CesA gene family members, More >

Hanxu Wang, Xin Li^*

Journal on Big Data, Vol.4, No.1, pp. 41-60, 2022, DOI:10.32604/jbd.2022.027717 - 04 May 2022

Abstract With the explosive growth of Internet text information, the task of text classification is more important. As a part of text classification, Chinese news text classification also plays an important role. In public security work, public opinion news classification is an important topic. Effective and accurate classification of public opinion news is a necessary prerequisite for relevant departments to grasp the situation of public opinion and control the trend of public opinion in time. This paper introduces a combined-convolutional neural network text classification model based on word2vec and improved TF-IDF: firstly, the word vector is… More >

Muzi Li^1,4, Hong Meng^1,4,*, Liang Zhang², Yuzi Zhou³, Chao Liang⁴, Zhiling Luo⁴, Hao Wang^1,*

Congenital Heart Disease, Vol.17, No.3, pp. 231-244, 2022, DOI:10.32604/chd.2022.019480 - 03 May 2022

Abstract Background: Children are at risk of extubation failure after congenital heart disease surgery. Such cases should be identified to avoid possible adverse consequences of failed extubation. This study aimed to identify ultrasound predictors of successful extubation in children who underwent cardiac surgery. Methods: Children aged 3 months to 6 years who underwent cardiac surgery (if they were intubated for >6 h and underwent a spontaneous breathing trial) were included in this study. Results: We included 83 children who underwent surgery for congenital heart disease. Transthoracic echocardiography and lung ultrasound were performed immediately before spontaneous breathing trials. Upon… More >

Hiam Alquran^1,2, Wan Azani Mustafa^3,4,*, Isam Abu Qasmieh², Yasmeen Mohd Yacob^3,4, Mohammed Alsalatie⁵, Yazan Al-Issa⁶, Ali Mohammad Alqudah²

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5117-5134, 2022, DOI:10.32604/cmc.2022.025692 - 21 April 2022

Abstract Cervical cancer is screened by pap smear methodology for detection and classification purposes. Pap smear images of the cervical region are employed to detect and classify the abnormality of cervical tissues. In this paper, we proposed the first system that it ables to classify the pap smear images into a seven classes problem. Pap smear images are exploited to design a computer-aided diagnoses system to classify the abnormality in cervical images cells. Automated features that have been extracted using ResNet101 are employed to discriminate seven classes of images in Support Vector Machine (SVM) classifier. The… More >