YANG ZHANG, LIXIA MA, TINGTING ZHANG, PEIDONG LI, JIABIN XU, ZHUO WANG^*

Oncology Research, Vol.29, No.2, pp. 129-139, 2021, DOI:10.32604/or.2022.03563 - 13 July 2022

Abstract In this study, we mainly focus on probing expression profile and detailed functions of long non-coding RNA TFAP2A antisense RNA 1 (TFAP2A-AS1) in non-small cell lung cancer (NSCLC). Moreover, the mechanisms played by TFAP2A-AS1 were unraveled comprehensively. Herein, a notable overexpressed TFAP2A-AS1 in NSCLC was observed by TCGA and our own cohort. An increased TFAP2A-AS1 level displayed a negative correlation with the overall survival of patients with NSCLC. Loss-of-function approaches illustrated that the absence of TFAP2A-AS1 weakened NSCLC cell proliferation, colony formation, migration and invasion in vitro. Also, interference of TFAP2A-AS1 caused in vivo tumor growth suppression. More >

Jing Li^*†, Lian-mei Zhao^‡, Cong Zhang^‡, Meng Li^§, Bo Gao^†, Xu-hua Hu^†, Jian Cao^†, Gui-ying Wang^†

Oncology Research, Vol.28, No.1, pp. 51-63, 2020, DOI:10.3727/096504019X15619783964700

Abstract Long noncoding RNAs (lncRNAs) participate in and regulate the biological process of colorectal cancer (CRC) progression. Our previous research identified differentially expressed lncRNAs in 10 CRC tissues and 10 matched nontumor tissues by next-generation sequencing (NGS). In this study, we identified an lncRNA, FEZF1 antisense RNA 1 (FEZF1-AS1), and further explored its function and mechanism in CRC. We verified that FEZF1-AS1 is highly expressed in CRC tissues and cell lines. Through functional experiments, we found that reduced levels of FEZF1-AS1 significantly suppressed CRC cell migration, invasion, and proliferation and inhibited tumor growth in vivo. Mechanistically,… More >

Qingchun Li^*, Yuan Tian^†, Guangrui Hu^†, Yun Liang^†, Wei Bai^†, Hongjun Li^†

Oncology Research, Vol.28, No.9, pp. 973-973, 2020, DOI:10.3727/096504021X16303158875079

Abstract This article has no abstract. More >

Mahmoud H. Taha¹, Mohamed A. Ramadan^2,*, Dumitru Baleanu^3,4,5, Galal M. Moatimid¹

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 969-983, 2020, DOI:10.32604/cmes.2020.010942 - 21 August 2020

Abstract The current paper is concerned with a modified Homotopy perturbation technique. This modification allows achieving an exact solution of an initial value problem of the fractional differential equation. The approach is powerful, effective, and promising in analyzing some classes of fractional differential equations for heat conduction problems and other dynamical systems. To crystallize the new approach, some illustrated examples are introduced. More >

Yuanyuan Xue^1,2, Qi Li¹, LingFeng¹

Computer Systems Science and Engineering, Vol.34, No.3, pp. 151-164, 2019, DOI:10.32604/csse.2019.34.151

Abstract Stress is a common problem all over the world. More and more teenagers today have to cope with different stressor events coming from school, family, peer relation, self-cognition, romantic relation, etc. Over-stress without proper guidance will lead to a series of potential problems including physical and mental disorders, and even suicide due to the shortage of teen’ s psychological endurance and controllability. Therefore, it is necessary and important to timely sense adolescents’ stress and help them release the stress properly. In this paper, we present a micro-blog based system called TeenSensor, aiming to detect teens… More >

Ning Cao^1,2, Shengfang Li¹, Keyong Shen¹, Sheng Bin³, Gengxin Sun^3,*, Dongjie Zhu⁴, Xiuli Han⁵, Guangsheng Cao⁵, Abraham Campbell⁶

CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 227-241, 2019, DOI:10.32604/cmc.2019.06125

Abstract Monitoring, understanding and predicting Origin-destination (OD) flows in a city is an important problem for city planning and human activity. Taxi-GPS traces, acted as one kind of typical crowd sensed data, it can be used to mine the semantics of OD flows. In this paper, we firstly construct and analyze a complex network of OD flows based on large-scale GPS taxi traces of a city in China. The spatiotemporal analysis for the OD flows complex network showed that there were distinctive patterns in OD flows. Then based on a novel complex network model, a semantics More >

Wenpeng Lu^1,*, Fanqing Meng², Shoujin Wang³, Guoqiang Zhang⁴, Xu Zhang¹, Antai Ouyang⁵, Xiaodong Zhang⁶

CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 197-212, 2019, DOI:10.32604/cmc.2019.06068

Abstract Word sense disambiguation (WSD) is a fundamental but significant task in natural language processing, which directly affects the performance of upper applications. However, WSD is very challenging due to the problem of knowledge bottleneck, i.e., it is hard to acquire abundant disambiguation knowledge, especially in Chinese. To solve this problem, this paper proposes a graph-based Chinese WSD method with multi-knowledge integration. Particularly, a graph model combining various Chinese and English knowledge resources by word sense mapping is designed. Firstly, the content words in a Chinese ambiguous sentence are extracted and mapped to English words with More >

Caiyu Jiang, Yan Yang, Yang Yang, Lu Guo, Jiang Huang, Xingren Liu, Chi Wu, Jun Zou

Oncology Research, Vol.26, No.5, pp. 725-734, 2018, DOI:10.3727/096504017X15119467381615

Abstract Non-small cell lung cancer (NSCLC) is one of the most deadly cancers with poor prognosis. Recent findings suggested that the lncRNA HOTAIR played an important role in tumorigenesis and metastasis. In the present study, HOTAIR was highly expressed in NSCLC tumor tissues and cell lines (H1299, H23, H292, and A549). Downregulation of HOTAIR suppressed cell proliferation and invasion, while it promoted apoptosis of NSCLC cells. The targeting relationship between HOTAIR and miR-613 was first revealed by bioinformatics prediction. miR-613 was found to be lowly expressed in NSCLC tumor tissues and cell lines. Knockdown of HOTAIR… More >

Liang Wang^a,b, Jiping Liu^a,b, Shenghua Xu^b, Jinjin Dong^c, Yi Yang^d

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 391-398, 2018, DOI:10.1080/10798587.2017.1296660

Abstract Forest biomass is a significant indicator for substance accumulation and forest succession, and can provide valuable information for forest management and scientific planning. Accurate estimations of forest biomass at a fine resolution are important for a better understanding of the forest productivity and carbon cycling dynamics. In this study, considering the low efficiency and accuracy of the existing biomass estimation models for remote sensing data, Landsat 8 OLI imagery and field data cooperated with the radial basis function artificial neural network (RBF ANN) approach is used to estimate the forest Above Ground Biomass (AGB) in More >

Joshua A. Daily^1,2, Elijah Bolin^1,2, Brian K. Eble^1,2

Congenital Heart Disease, Vol.13, No.1, pp. 154-156, 2018, DOI:10.1111/chd.12561

Abstract Pediatric cardiologists teach complicated concepts to a diverse group of learners that include medical students, nurses, residents, fellows, patients, and parents. Unfortunately, much of what is taught is not retained. In order to increase the likelihood of long-term retention, a cardiologist should teach with both meaning and sense. The authors provide a review of these concepts and give specific examples of how to teach in ways that both make sense and are meaningful to a cardiologist’s leaners. More >