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  • Open Access

    ARTICLE

    Hyperparameter Tuning for Deep Neural Networks Based Optimization Algorithm

    D. Vidyabharathi1,*, V. Mohanraj2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 2559-2573, 2023, DOI:10.32604/iasc.2023.032255

    Abstract For training the present Neural Network (NN) models, the standard technique is to utilize decaying Learning Rates (LR). While the majority of these techniques commence with a large LR, they will decay multiple times over time. Decaying has been proved to enhance generalization as well as optimization. Other parameters, such as the network’s size, the number of hidden layers, dropouts to avoid overfitting, batch size, and so on, are solely based on heuristics. This work has proposed Adaptive Teaching Learning Based (ATLB) Heuristic to identify the optimal hyperparameters for diverse networks. Here we consider three architectures Recurrent Neural Networks (RNN),… More >

  • Open Access

    REVIEW

    Explainable Rules and Heuristics in AI Algorithm Recommendation Approaches—A Systematic Literature Review and Mapping Study

    Francisco José García-Peñalvo*, Andrea Vázquez-Ingelmo, Alicia García-Holgado

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1023-1051, 2023, DOI:10.32604/cmes.2023.023897

    Abstract The exponential use of artificial intelligence (AI) to solve and automated complex tasks has catapulted its popularity generating some challenges that need to be addressed. While AI is a powerful means to discover interesting patterns and obtain predictive models, the use of these algorithms comes with a great responsibility, as an incomplete or unbalanced set of training data or an unproper interpretation of the models’ outcomes could result in misleading conclusions that ultimately could become very dangerous. For these reasons, it is important to rely on expert knowledge when applying these methods. However, not every user can count on this… More > Graphic Abstract

    Explainable Rules and Heuristics in AI Algorithm Recommendation Approaches—A Systematic Literature Review and Mapping Study

  • Open Access

    ARTICLE

    Konjac glucomannan enhances 5-FU-induced cytotoxicity of hepatocellular carcinoma cells via TLR4/PERK/CHOP signaling to induce endoplasmic reticulum stress

    YONGKANG SHI, JUN MA, KE CHEN, BIN CHEN*

    Oncology Research, Vol.30, No.4, pp. 201-210, 2022, DOI:10.32604/or.2022.027584

    Abstract 5-Fluorouracil (5-FU) is a commonly used chemotherapeutic agent for various cancers. However, the drug resistance developed by tumor cells hinders the therapeutic effect. Konjac glucomannan (KGM) is indicated to sensitize 5-FU-resistant hepatocellular carcinoma (HCC) cells to 5-FU. In our study, we found that KGM or 5-FU treatment alone did not affect the malignant cell behaviors and endoplasmic reticulum (ER) stress of 5-FU-resistant HCC cells or HepG2/5-FU and Bel-7402/5-FU cells, while cotreatment with KGM and 5-FU significantly facilitated HCC cell apoptosis and ER stress and suppressed cell proliferation potential and migration abilities. Moreover, we explored the underlying mechanism by which KGM… More >

  • Open Access

    ARTICLE

    Chrysophanol inhibits the progression of gastric cancer by activating nod-like receptor protein-3

    BINFEN HOU1, LI ZHAO1, T IANHAO ZHAO1, MINGMING YANG1, WANWAN ZHU1, XIAODONG CHEN2, XIQUAN KE1, ZHENZENG MA1, LIN GU1, MENG WANG1, MIN DENG1,*

    BIOCELL, Vol.47, No.1, pp. 175-186, 2023, DOI:10.32604/biocell.2022.021359

    Abstract Aim: Gastric cancer (GC) is one of the most common malignant tumors. Chrysophanol has been reported to possess antitumor effects on a variety of cancers; however, its role in GC remains unclear. This study aimed to investigate the effects of chrysophanol on the proliferation, pyroptosis, migration, and invasion of GC cells. Methods: Human GC cell lines MKN 28 and AGS cells were treated with different concentrations of chrysophanol, then cell proliferation, migration, invasion and pyroptosis were determined by CCK-8, colony-forming assay, wound healing assay, Transwell assay, and flow cytometry. Cell migration and invasion were reassessed in these transfected cells following… More >

  • Open Access

    ARTICLE

    Tasks Scheduling in Cloud Environment Using PSO-BATS with MLRHE

    Anwar R Shaheen*, Sundar Santhosh Kumar

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2963-2978, 2023, DOI:10.32604/iasc.2023.025780

    Abstract Cloud computing plays a significant role in Information Technology (IT) industry to deliver scalable resources as a service. One of the most important factor to increase the performance of the cloud server is maximizing the resource utilization in task scheduling. The main advantage of this scheduling is to maximize the performance and minimize the time loss. Various researchers examined numerous scheduling methods to achieve Quality of Service (QoS) and to reduce execution time. However, it had disadvantages in terms of low throughput and high response time. Hence, this study aimed to schedule the task efficiently and to eliminate the faults… More >

  • Open Access

    REVIEW

    The Role of Toll-Like Receptors in Oncotherapy

    Caiqi Liu*, Ci Han, Jinfeng Liu

    Oncology Research, Vol.27, No.8, pp. 965-978, 2019, DOI:10.3727/096504019X15498329881440

    Abstract Toll-like receptors (TLRs) are associated with tumor growth and immunosuppression, as well as apoptosis and immune system activation. TLRs can activate apoptosis and innate and adaptive immunity pathways, which can be pharmacologically targeted for the development of anticancer oncotherapies. Several studies and clinical trials indicate that TLR agonists are promising adjuvants or elements of novel therapies, particularly when used in conjunction with chemotherapy or radiotherapy. An increasing number of studies suggest that the activation of TLRs in various cancer types is related to oncotherapy; however, before this finding can be applied to clinical practice, additional studies are required. Research suggests… More >

  • Open Access

    ARTICLE

    E2-Induced Activation of the NLRP3 Inflammasome Triggers Pyroptosis and Inhibits Autophagy in HCC Cells

    Qing Wei1, Rui Zhu1, Junying Zhu, Rongping Zhao, Min Li

    Oncology Research, Vol.27, No.7, pp. 827-834, 2019, DOI:10.3727/096504018X15462920753012

    Abstract Emerging evidence suggests that 17β-estradiol (E2) and estrogen receptor (ER) signaling are protective against hepatocellular carcinoma (HCC). In our previous study, we showed that E2 suppressed the carcinogenesis and progression of HCC by targeting NLRP3 inflammasome activation, whereas the molecular mechanism by which the NLRP3 inflammasome initiated cancer cell death was not elucidated. The present study aimed to investigate the effect of NLRP3 inflammasome activation on cell death pathways and autophagy of HCC cells. First, we observed an increasing mortality in E2-treated HCC cells, and then apoptotic and pyroptotic cell death were both detected. The mortality of HCC cells was… More >

  • Open Access

    ARTICLE

    The Interaction Between lncRNA SNHG1 and miR-140 in Regulating Growth and Tumorigenesis via the TLR4/NF-kB Pathway in Cholangiocarcinoma

    Zhen Li*1, Xin Li*1, Xiao Du, Henghui Zhang, Zhengyang Wu*, Kewei Ren*, Xinwei Han*

    Oncology Research, Vol.27, No.6, pp. 663-672, 2019, DOI:10.3727/096504018X15420741307616

    Abstract Cholangiocarcinoma (CCA) is the second most common primary hepatobiliary carcinoma. The long noncoding RNA (lncRNA) small nucleolar RNA host gene 1 (SNHG1) has been reported to contribute to the progression of multiple cancers. Nonetheless, the functions and hidden mechanism of SNHG1 remain unclear in CCA. In this study, the SNHG1 levels were boosted in CCA cell lines, and knockdown of SNHG1 repressed CCA cell proliferation and invasion in vitro. The data also demonstrated that miR-140 could act as a target of SNHG1 in CCA and inhibited CCA cell proliferation and invasion, whereas the inhibition effects were relieved by overexpression of… More >

  • Open Access

    ARTICLE

    NLRP3 Promotes Glioma Cell Proliferation and Invasion via the Interleukin-1b/NF-kB p65 Signals

    Liping Xue*1, Bin Lu†1, Bibo Gao, Yangyang Shi, Jingqi Xu, Rui Yang, Bo Xu, Peng Ding

    Oncology Research, Vol.27, No.5, pp. 557-564, 2019, DOI:10.3727/096504018X15264647024196

    Abstract Because of the characteristics of high invasiveness, relapse, and poor prognosis, the management of malignant gliomas has always been a great challenge. Nod-like receptor (NLR) family pyrin domain containing 3 (NLRP3) is a crucial component of the NLRP3 inflammasome, a multiprotein complex that can trigger caspase 1/interleukin-1 (IL-1)-mediated inflammatory response once activated and participates in the pathogeny of diverse inflammatory diseases as well as cancers. We examined the function of NLRP3 in the development of glioma. Glioma cells were treated with NLRP3 interference or overexpression vectors, recombinant IL-1 , IL-1 antibody, and NF- B inhibitor. Cell proliferation and invasion were… More >

  • Open Access

    ARTICLE

    IOX-101 Reverses Drug Resistance Through Suppression of Akt/mTOR/NF-κB Signaling in Cancer Stem Cell-Like, Sphere-Forming NSCLC Cell

    Majed Al Fayi*†, Ahmad Alamri*, Prasanna Rajagopalan*†

    Oncology Research, Vol.28, No.2, pp. 177-189, 2020, DOI:10.3727/096504019X15746768080428

    Abstract Drug discovery research to fight lung cancer is incessantly challenged by drug resistance. In this study, we used drug-resistant lung cancer stem like cells (A549-CS) to compare the efficacy of standard drugs like cisplatin (DDP) and gemcitabine (GEM) with a novel arylidene derivative IOX-101. A549-CS was derived from regular A549 cells by growing in special media. Resistance proteins were detected using Western blotting. Cell proliferations were assessed by MTT assay. Cytokine release was enumerated using enzyme-linked immunosorbent assay. The effect of drugs on apoptosis and cell cycle was studied with flow cytometry protocols. Apoptosis-related proteins, caspases, and other signaling protein… More >

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