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  • Open Access

    ARTICLE

    Optimal Energy Forecasting Using Hybrid Recurrent Neural Networks

    Elumalaivasan Poongavanam1,*, Padmanathan Kasinathan2, Kulothungan Kanagasabai3

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 249-265, 2023, DOI:10.32604/iasc.2023.030101 - 29 September 2022

    Abstract The nation deserves to learn what India’s future energy demand will be in order to plan and implement an energy policy. This energy demand will have to be fulfilled by an adequate mix of existing energy sources, considering the constraints imposed by future economic and social changes in the direction of a more sustainable world. Forecasting energy demand, on the other hand, is a tricky task because it is influenced by numerous micro-variables. As a result, an macro model with only a few factors that may be predicted globally, rather than a detailed analysis for… More >

  • Open Access

    ARTICLE

    Value of Mir-1271 and GPC3 in Prognosis Evaluation of Liver Cancer Patients after Liver Transarterial Chemoembolization

    Xin Chang1,2,#,*, Jin Wang2,#, Caifang Ni1

    Oncologie, Vol.23, No.1, pp. 119-130, 2021, DOI:10.32604/oncologie.2021.014152 - 30 March 2021

    Abstract Objective: This research was designed to observe the value of miR-1271 and GPC3 in evaluating the prognosis of liver cancer (LC) patients after liver transarterial chemoembolization (TACE). Methods: A total of 80 patients diagnosed as LC in our hospital from January 2018 to April 2019 were included in the LC group (LCG), and then assigned into a survival group (SG) and a death group (DG) based on prognosis. Seventy healthy subjects undergoing physical examination simultaneously were included in the normal group (NG). miR-1271 and GPC3 in serum of two groups of subjects were tested via qRT-PCR.… More >

  • Open Access

    ARTICLE

    A Compensation Controller Based on a Nonlinear Wavelet Neural Network for Continuous Material Processing Operations

    Chen Shen1,*, Youping Chen1, Bing Chen1, Jingming Xie1

    CMC-Computers, Materials & Continua, Vol.61, No.1, pp. 379-397, 2019, DOI:10.32604/cmc.2019.04883

    Abstract Continuous material processing operations like printing and textiles manufacturing are conducted under highly variable conditions due to changes in the environment and/or in the materials being processed. As such, the processing parameters require robust real-time adjustment appropriate to the conditions of a nonlinear system. This paper addresses this issue by presenting a hybrid feedforward-feedback nonlinear model predictive controller for continuous material processing operations. The adaptive feedback control strategy of the controller augments the standard feedforward control to ensure improved robustness and compensation for environmental disturbances and/or parameter uncertainties. Thus, the controller can reduce the need… More >

  • Open Access

    ARTICLE

    Overexpression of Glypican 5 (GPC5) Inhibits Prostate Cancer Cell Proliferation and Invasion via Suppressing Sp1-Mediated EMT and Activation of Wnt/β-Catenin Signaling

    Yu Sun1, Kai Xu1, Miao He, Guilian Fan, Hongming Lu

    Oncology Research, Vol.26, No.4, pp. 565-572, 2018, DOI:10.3727/096504017X15044461944385

    Abstract Glypican 5 (GPC5) belongs to the family of heparan sulfate proteoglycans (HSPGs). It was initially known as a regulator of growth factors and morphogens. Recently, there have been reports on its correlation with the tumorigenic process in the development of some cancers. However, little is known about its precise role in prostate cancer (PCa). In the present study, we explored the expression pattern and biological functions of GPC5 in PCa cells. Our results showed that GPC5 was lowly expressed in PCa cell lines. Upregulation of GPC5 significantly inhibited PCa cell proliferation and invasion in vitro More >

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