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  • Open Access

    ARTICLE

    Combined Linear Multi-Model for Reliable Route Recommender in Next Generation Network

    S. Kalavathi1,*, R. Nedunchelian2

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 39-56, 2023, DOI:10.32604/iasc.2023.031522

    Abstract Network analysis is a promising field in the area of network applications as different types of traffic grow enormously and exponentially. Reliable route prediction is a challenging task in the Large Scale Networks (LSN). Various non-self-learning and self-learning approaches have been adopted to predict reliable routing. Routing protocols decide how to send all the packets from source to the destination addresses across the network through their IP. In the current era, dynamic protocols are preferred as they network self-learning internally using an algorithm and may not entail being updated physically more than the static protocols. A novel method named Reliable… More >

  • Open Access

    ARTICLE

    Numerical Simulation of Vacuum Preloading for Chemically Conditioned Municipal Sludge

    Wenwei Li1, Xinjie Zhan2,*, Baotian Wang1, Jinyu Zuo1

    Journal of Renewable Materials, Vol.11, No.1, pp. 363-378, 2023, DOI:10.32604/jrm.2022.022254

    Abstract Municipal sludge is a sedimentation waste produced during the wastewater process in sewage treatment plants. Among recent studies, pilot and field tests showed that chemical conditioning combined with vacuum preloading can effectively treat municipal sludge. To further understand the drainage and consolidation characteristics of the conditioning sludge during vacuum preloading, a large deformation nonlinear numerical simulation model based on the equal strain condition was developed to simulate and analyze the pilot and field tests, whereas the simulation results were not satisfactory. The results of the numerical analysis of the pilot test showed that the predicted consolidation degree was greater than… More >

  • Open Access

    ARTICLE

    Effective Customer Review Analysis Using Combined Capsule Networks with Matrix Factorization Filtering

    K. Selvasheela1,*, A. M. Abirami2, Abdul Khader Askarunisa3

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2537-2552, 2023, DOI:10.32604/csse.2023.029148

    Abstract Nowadays, commercial transactions and customer reviews are part of human life and various business applications. The technologies create a great impact on online user reviews and activities, affecting the business process. Customer reviews and ratings are more helpful to the new customer to purchase the product, but the fake reviews completely affect the business. The traditional systems consume maximum time and create complexity while analyzing a large volume of customer information. Therefore, in this work optimized recommendation system is developed for analyzing customer reviews with minimum complexity. Here, Amazon Product Kaggle dataset information is utilized for investigating the customer review.… More >

  • Open Access

    CASE REPORT

    Surgery Combined with Molecular Targeted Therapy Successfully Treated Giant Esophageal Gastrointestinal Stromal Tumor

    Mengjie Li1,#, Jun Wei2,#, Guihua Xu3,#, Ying Liu3,*, Jian Zhu3,*

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

    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 case of a 65-year-old man… More >

  • Open Access

    ARTICLE

    Paclitaxel Combined with Ticagrelor Inhibits B16F10 and Lewis Lung Carcinoma Cell Metastasis

    Xingjun Meng1,#, Zhihui Cao2,#, Renfeng Liu3,#, Kai Zheng4, Shuai Ding5, Yuefan Gu4, Yonghua Chen6, Jun Lv7, Ping Li8, Li Zhou9, Wenbo Wang10, Shiliang Ji11, Hui He12,*, Hui Yang9,*

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

    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 progression, we chose paclitaxel and… More >

  • Open Access

    ARTICLE

    Modeling and Prediction of Inter-System Bias for GPS/BDS-2/BDS-3 Combined Precision Point Positioning

    Zejie Wang1, Qianxin Wang1,*, Sanxi Li2

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

    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 as the sliding window strategy… More >

  • Open Access

    ARTICLE

    Endostar, an Antiangiogenesis Inhibitor, Combined With Chemoradiotherapy for Locally Advanced Cervical Cancer

    Heming Lu*†1, Yuying Wu‡1, Xu Liu, Huixian Huang, Hailan Jiang, Chaohua Zhu, Yuping Man§, Zhaohong Chen, Xianfeng Long, Qiang Pang, Luxing Peng, Xianglong Li, Junzhao Gu, Shan Deng, Ligang Xing*

    Oncology Research, Vol.28, No.9, pp. 929-944, 2020, DOI:10.3727/096504021X16318716607908

    Abstract This phase II randomized clinical trial aimed to assess the efficacy and toxicity of Endostar, an antiangiogenesis inhibitor, combined with concurrent chemoradiotherapy (CCRT) for locally advanced cervical cancer (LACC). Patients with LACC were randomly assigned to either CCRT plus Endostar (CCRT+E arm) or CCRT alone (CCRT arm). All patients received pelvic intensity-modulated radiation therapy (IMRT) and brachytherapy. Weekly cisplatin was administered concurrently with IMRT. Patients in the CCRT+E arm also received concurrent Endostar every 3 weeks for two cycles. The primary endpoint was progression-free survival (PFS) and acute toxicities. The exploratory endpoint was the impact of vascular endothelial growth factor… More >

  • Open Access

    ARTICLE

    A Combined Chemical, Computational, and In Vitro Approach Identifies SBL-105 as Novel DHODH Inhibitor in Acute Myeloid Leukemia Cells

    Hossam Kamli*, Gaffar S. Zaman*, Ahmad Shaikh*, Abdullah A. Mobarki, Prasanna Rajagopalan*‡

    Oncology Research, Vol.28, No.9, pp. 899-911, 2020, DOI:10.3727/096504021X16281573507558

    Abstract Inhibition of the dihydroorotate dehydrogenase (DHODH) has been successful at the preclinical level in controlling myeloid leukemia. However, poor clinical trials warrant the search for new potent DHODH inhibitors. Herein we present a novel DHODH inhibitor SBL-105 effective against myeloid leukemia. Chemical characteristics were identified by 1 H NMR, 13C NMR, and mass spectroscopy. Virtual docking and molecular dynamic simulation analysis were performed using the automated protocol with AutoDock-VINA, GROMACS program. Human-recombinant (rh) DHODH was used for enzyme inhibition study. THP-1, TF-1, HL-60, and SKM-1 cell lines were used. MTT assay was used to assess cell viability. Flow cytometry was… More >

  • Open Access

    ARTICLE

    Excellent Early Outcomes of Combined Chemotherapy With Arsenic Trioxide for Stage 4/M Neuroblastoma in Children: A Multicenter Nonrandomized Controlled Trial

    Chunmou Li*1, Xiaomin Peng*1, Chuchu Feng*1, Xilin Xiong*, Jianxin Li, Ning Liao, Zhen Yang§, Aiguo Liu, Pingping Wu*, Xuehong Liang, Yunyan He, Xin Tian§, Yunbi Lin§, Songmi Wang, Yang Li*

    Oncology Research, Vol.28, No.7-8, pp. 791-800, 2020, DOI:10.3727/096504021X16184815905096

    Abstract This nonrandomized, multicenter cohort, open-label clinical trial evaluated the efficacy and safety of combined chemotherapy with arsenic trioxide (ATO) in children with stage 4/M neuroblastoma (NB). We enrolled patients who were newly diagnosed with NB and assessed as stage 4/M and received either traditional chemotherapy or ATO combined with chemotherapy according to their own wishes. Twenty-two patients were enrolled in the trial group (ATO combined with chemotherapy), and 13 patients were enrolled in the control group (traditional chemotherapy). Objective response rate (ORR) at 4 weeks after completing induction chemotherapy was defined as the main outcome, and adverse events were monitored… More >

  • Open Access

    ARTICLE

    Skeleton Keypoints Extraction Method Combined with Object Detection

    Jiabao Shi1, Zhao Qiu1,*, 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

    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 extraction method combined with object… More >

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