S. Kalavathi^1,*, 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 >

Wenwei Li¹, Xinjie Zhan^2,*, 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 >

K. Selvasheela^1,*, 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 >

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 >

Ravi Shankar Prasad^a,*,†, Ujjwal Kumar Nayak^a, Rajen Kumar Nayak^a, Amit Kumar Gupta^b

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 >

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 >

Lei Hu^1,2,#, Meng Chen^2,3,#, Haiming Dai^2,3,4, Hongzhi Wang^2,3,4,*, Wulin Yang^2,3,4,*

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 >

Qian Zhang^1,2,#, Yuanyuan Cao^2,#, Mingming Fang³, Qin Yang², Pingyang Zhang^1,*

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 >

Mengjie Li^1,#, Jun Wei^2,#, Guihua Xu^3,#, Ying Liu^3,*, Jian Zhu^3,*

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 >

Xingjun Meng^1,#, Zhihui Cao^2,#, Renfeng Liu^3,#, Kai Zheng⁴, Shuai Ding⁵, Yuefan Gu⁴, Yonghua Chen⁶, Jun Lv⁷, Ping Li⁸, Li Zhou⁹, Wenbo Wang¹⁰, Shiliang Ji¹¹, Hui He^12,*, Hui Yang^9,*

Oncologie, Vol.24, No.2, pp. 283-294, 2022, DOI:10.32604/oncologie.2022.021259 - 29 June 2022

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 More >