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  • Open Access

    ARTICLE

    Outlier Detection and Forecasting for Bridge Health Monitoring Based on Time Series Intervention Analysis

    Bing Qu*, Ping Liao, Yaolong Huang

    Structural Durability & Health Monitoring, Vol.16, No.4, pp. 323-341, 2022, DOI:10.32604/sdhm.2022.021446 - 03 January 2023

    Abstract The method of time series analysis, applied by establishing appropriate mathematical models for bridge health monitoring data and making forecasts of structural future behavior, stands out as a novel and viable research direction for bridge state assessment. However, outliers inevitably exist in the monitoring data due to various interventions, which reduce the precision of model fitting and affect the forecasting results. Therefore, the identification of outliers is crucial for the accurate interpretation of the monitoring data. In this study, a time series model combined with outlier information for bridge health monitoring is established using intervention… More >

  • Open Access

    REVIEW

    Advances in Targeted Therapy Against Driver Mutations and Epigenetic Alterations in Non-Small Cell Lung Cancer

    Jiajian Shi1, Yuchen Chen1,*, Chentai Peng1, Linwu Kuang2, Zitong Zhang1, Yangkai Li2,*, Kun Huang1

    Oncologie, Vol.24, No.4, pp. 613-648, 2022, DOI:10.32604/oncologie.2022.027545 - 31 December 2022

    Abstract The incidence and mortality of lung cancer rank top three of all cancers worldwide. Accounting for 85% of the total number of lung cancer, non-small cell lung cancer (NSCLC) is an important factor endangering human health. Recently, targeted therapies against driver mutations and epigenetic alterations have made encouraging advances that benefit NSCLC patients. Druggable driver mutations, which mainly occur in EGFR, KRAS, MET, HER2, ALK, ROS1, RET and BRAF, have been identified in more than a quarter of NSCLC patients. A series of highly selective mutant targeting inhibitors, such as EGFR tyrosine kinase inhibitors and KRAS inhibitors, have been… 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

    ARTICLE

    Applying SMART Goal Intervention Leads to Greater Goal Attainment, Need Satisfaction and Positive Affect

    Zeynab Bahrami1, Atena Heidari1,*, Jacquelyn Cranney2

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 869-882, 2022, DOI:10.32604/ijmhp.2022.018954 - 28 September 2022

    Abstract Previous research suggests that planning interventions lead to increased goal attainment, while other research suggests that goal attainment leads to increased well-being. This research integrates these two sets of research findings by investigating the effectiveness of one goal planning intervention, the SMART goal program, on goal attainment, and thus need satisfaction and well-being, in university students. An experimental design across a one-week period was employed to test whether participants in the experimental group, who received the SMART goal instructions, better obtained their goal in comparison to control group participants who did not receive those specific More >

  • Open Access

    REVIEW

    The Eph/Ephrin System in Hepatocellular Carcinoma: Functional Roles and Potential Therapeutic Targets

    Xin Shu, Qiang Wang*, Qingming Wu*

    Oncologie, Vol.24, No.3, pp. 427-439, 2022, DOI:10.32604/oncologie.2022.023248 - 19 September 2022

    Abstract Liver cancer is ranked as the second leading cause of cancer-related death across the world, and hepatocellular carcinoma (HCC) comprises nearly 90% of all primary liver cancer cases. However, until now, the pathological mechanisms underlying HCC oncogenesis and development remains largely unclear. Eph receptors and their ephrin ligands (Eph/Ephrin system) are involved in various physiological process, such as embryogenesis, neuronal migration, immune response and vascular development. Recently, emerging evidence has showed that the Eph/Ephrin system also plays an essential role in initiation and development of multiple types of cancer, including liver cancer. The Eph/Ephrin system More >

  • Open Access

    ARTICLE

    Ampelopsin Inhibits Breast Cancer Glucose Metabolism Reprogramming Based on Network Pharmacology and Molecular Docking

    Rong Zeng1,#, Lin Liu1,2,#, Jingshan Zhao1,2,3,#, Wenmei Zhang3, Guohong Zhang1, Yunfeng Li1,2,*

    Oncologie, Vol.24, No.3, pp. 483-498, 2022, DOI:10.32604/oncologie.2022.025148 - 19 September 2022

    Abstract Background: Breast cancer (BC) is the most frequent type of gynecology tumors with high morbidity and mortality. Ampelopsin, the main active compound of Ampelopsis grossedentata, exerts an anti-tumor effect on a variety of cancers. However, the anti-cancer role of ampelopsin in BC remains unclear. The aim of this study is to explore the mechanism of ampelopsin against breast cancer. Materials and Methods: The target genes of ampelopsin in the treatment of breast cancer were determined and analyzed by network pharmacology and molecular docking. Cytoscape software was used to identify the core target genes and construct a protein–protein interaction… More >

  • Open Access

    ARTICLE

    MiR-21/Sonic Hedgehog (SHH)/PI3K/AKT Pathway is Associated with NSCLC of Primary EGFR-TKI Resistance

    Li Xu, Kang Li, Jia Li, Liyu Liu, Fang Xu, Yan Xu, Yi Kong, Xingxiang Pu, Qianzhi Wang, Jingyi Wang, Bolin Chen*, Lin Wu*

    Oncologie, Vol.24, No.3, pp. 579-590, 2022, DOI:10.32604/oncologie.2022.022121 - 19 September 2022

    Abstract Background: Non-small cell lung cancer (NSCLC), caused by abnormal gene drive, may have primary drug resistance after treatment with tyrosine kinase inhibitors (EGFR-TKIs). Therefore, we explore whether the primary drug-resistant NSCLC treated with EGFR-TKI is related to the miR-21/Sonic Hedgehog (SHH)/PI3K/AKT pathway. Methods: The patients from our hospital who meet the AJCC TNM staging (7th edition) stage IIIB and stage IV NSCLC were selected in this case study. Thereafter, the treatment response of EGFR-TKIs was evaluated according to the solid tumor efficacy evaluation standard (version 1.1). The patients were divided into the EGFR-TKIs primary drug resistance group… More >

  • Open Access

    ARTICLE

    Voltage Profile Enhancement and Power Loss Reduction with Economic Feasibility Using Small Capacity Distribution Transformers

    Rasool M. Imran1,2,*, Mohammed R. Saeed1, Mohammed Amer Mohammed3, Osama A. Suhry3, Ihsan H. Abdulqadder4, Hasan Wahhab Salih5, Mohammed R. Almallah6, Firas M. F. Flaih3

    Energy Engineering, Vol.119, No.6, pp. 2447-2467, 2022, DOI:10.32604/ee.2022.021871 - 14 September 2022

    Abstract

    Usually, rural areas can be electrified via three-phase distribution transformers with relatively large capacities. In such areas, low voltage lines are used for long distances, which cause power losses and voltage drop for different types of consumers. Reducing losses and improving voltage profiles in rural distribution networks are significant challenges for electricity distribution companies. However different solutions were proposed in the literature to overcome these challenges, most of them face difficulties when applied in the conventional distribution network. To address the above issues, an applicable solution is proposed in this paper by installing a number

    More >

  • Open Access

    ARTICLE

    Optimal Operation of Electric Vehicles and Distributed Generation Resources in Smart Grid Considering Load Management

    Zheng Wang*, Shangke Liu, Yanli Xiao, Ye Wan, Bin Bai

    Energy Engineering, Vol.119, No.6, pp. 2655-2679, 2022, DOI:10.32604/ee.2022.021843 - 14 September 2022

    Abstract Technology advancement and the global tendency to use renewable energy in distributed generation units in the distribution network have been proposed as sources of energy supply. Despite the complexity of their protection, as well as the operation of distributed generation resources in the distribution network, factors such as improving reliability, increasing production capacity of the distribution network, stabilizing the voltage of the distribution network, reducing peak clipping losses, as well as economic and environmental considerations, have expanded the influence of distributed generation (DG) resources in the distribution network. The location of DG sources and their… More >

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