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  • Open Access

    ARTICLE

    Influence of Vertical Load on Lateral-Loaded Monopiles by Numerical Simulation

    Qiang Li1,2,*, Pan Chen1, Lihong Gao1, Dan Meng1, Jinjie Zou1

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 465-481, 2023, DOI:10.32604/cmes.2022.020300 - 29 September 2022

    Abstract Monopiles are the most common foundation form of offshore wind turbines, which bear the vertical load, lateral load and bending moment. It remains uncertain whether the applied vertical load increases the lateral deflection of the pile. This paper investigated the influence of vertical load on the behaviour of monopiles installed in the sand under combined load using three-dimensional numerical methods. The commercial software PLAXIS was used for simulations in this paper. Monopiles were modelled as a structure incorporating linear elastic material behaviour and soil was modelled using the Hardening-Soil (HS) constitutive model. The monopiles under… More >

  • 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 - 29 September 2022

    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.… 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 - 10 August 2022

    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… 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 - 01 August 2022

    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 More >

  • Open Access

    ARTICLE

    Combined Economic and Emission Power Dispatch Control Using Substantial Augmented Transformative Algorithm

    T. R. Manikandan*, Venkatesan Thangavelu

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 431-447, 2023, DOI:10.32604/iasc.2023.026546 - 06 June 2022

    Abstract The purpose of the Combined Economic Emission Dispatch (CEED) of electric power is to offer the most exceptional schedule for production units, which must run with both low fuel costs and emission levels concurrently, thereby meeting the lack of system equality and inequality constraints. Economic and emissions dispatching has become a primary and significant concern in power system networks. Consequences of using non-renewable fuels as input to exhaust power systems with toxic gas emissions and depleted resources for future generations. The optimal power allocation to generators serves as a solution to this problem. Emission dispatch… More >

  • Open Access

    ARTICLE

    COMBINED NATURAL CONVECTION AND SURFACE RADIATION IN A SQUARE CAVITY WITH THE INVERSELY LINEARLY HEATED OPPOSITE SIDE WALLS

    Ravi Shankar Prasada,*,†, Ujjwal Kumar Nayaka, Rajen Kumar Nayaka, Amit Kumar Guptab

    Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-7, 2022, DOI:10.5098/hmt.19.4

    Abstract This paper presents the results of numerical analysis of coupled laminar natural convection and surface radiation in a two-dimensional closed square cavity with the inversely linearly heated vertical opposite side walls and the adiabatic top and bottom walls. The cavity is filled with natural air (Pr = 0.70) as the fluid medium. In the present study, the governing equations i.e., Navier-Stokes Equation in the stream function - vorticity form and Energy Equation are solved for a constant property fluid under the Boussinesq approximation. For discretization of these equations, the finite volume technique is used. For More >

  • Open Access

    ARTICLE

    Nimotuzumab Combined with Neoadjuvant or Induction Chemotherapy for Head and Neck Squamous Cell Carcinoma: A Retrospective Study

    Huihui Zhang, Jing Yan, Xiaoyong Ren, Ying Sheng, Zhenghui Wang, Jianmin Liang, Yan Yan, Yangyang Jia, Zhihui Li, Jin Hou*

    Oncologie, Vol.24, No.4, pp. 707-716, 2022, DOI:10.32604/oncologie.2022.027023 - 31 December 2022

    Abstract Objective: To assess the efficacy and toxicity of nimotuzumab combined with neoadjuvant or induction chemotherapy for head and neck squamous cell carcinoma (HNSCC). Methods: Patients received intravenous nimotuzumab (400 mg, weekly for 1–3 weeks) combined with chemotherapy (5-fluorouracil/paclitaxel/docetaxel + nedaplatin/cisplatin for 1–2 cycles), prior to definitive surgical resection, radiotherapy or other treatments. The primary endpoint was the objective response rate (ORR). The secondary endpoints were tumor downstaging, complete response rate (CRR), partial response rate (PRR), disease control rate (DCR), R0 resection rate, pathological complete response (pCR), larynx preservation rate, overall survival (OS), progression-free survival (PFS), and… More >

  • Open Access

    ARTICLE

    A Metabolism-Related Gene Signature Predicts the Prognosis of Breast Cancer Patients: Combined Analysis of High-Throughput Sequencing and Gene Chip Data Sets

    Lei Hu1,2,#, Meng Chen2,3,#, Haiming Dai2,3,4, Hongzhi Wang2,3,4,*, Wulin Yang2,3,4,*

    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 >

  • Open Access

    ARTICLE

    Study on the Value of Ultrasound Elastography Combined with Plasma miRNA Expression in the Early Detection of Breast Cancer

    Qian Zhang1,2,#, Yuanyuan Cao2,#, Mingming Fang3, Qin Yang2, Pingyang Zhang1,*

    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 >

  • 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 - 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 >

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