Ying Qu¹, Jinhao Wang¹, Xueting Cheng¹, Jie Hao¹, Weiru Wang¹, Zhewen Niu², Yuxiang Wu^2,*

Energy Engineering, Vol.121, No.7, pp. 1847-1863, 2024, DOI:10.32604/ee.2024.048300

Abstract The data-driven transient stability assessment (TSA) of power systems can predict online real-time prediction by learning the temporal features before and after faults. However, the accuracy of the assessment is limited by the quality of the data and has weak transferability. Based on this, this paper proposes a method for TSA of power systems based on an improved extreme gradient boosting (XGBoost) model. Firstly, the gradient detection method is employed to remove noise interference while maintaining the original time series trend. On this basis, a focal loss function is introduced to guide the training of… More >

ELHAM SHAKIBA¹, SETI BOROOMAND², SIMA KHERADMAND KIA³, MEHDI HEDAYATI^4,*

Oncology Research, Vol.32, No.6, pp. 1011-1019, 2024, DOI:10.32604/or.2024.049235

Abstract This review aimed to describe the inculpation of microRNAs (miRNAs) in thyroid cancer (TC) and its subtypes, mainly medullary thyroid carcinoma (MTC), and to outline web-based tools and databases for bioinformatics analysis of miRNAs in TC. Additionally, the capacity of miRNAs to serve as therapeutic targets and biomarkers in TC management will be discussed. This review is based on a literature search of relevant articles on the role of miRNAs in TC and its subtypes, mainly MTC. Additionally, web-based tools and databases for bioinformatics analysis of miRNAs in TC were identified and described. MiRNAs can… More > Graphic Abstract

ALEKSANDRA GORNOSTAEVA, LUDMILA BURAVKOVA, MARGARITA LOBANOVA, ELENA ANDREEVA^*

BIOCELL, Vol.48, No.5, pp. 677-692, 2024, DOI:10.32604/biocell.2024.048873

Abstract The structural and associated molecules of the extracellular matrix (ECM) complex is an important component of the local milieu of cells, both for maintaining their functions and homeostasis. It is a dynamic structure that is finely tuned to changes in the microenvironment. One of these factors is hypoxia, which can arise in tissues due to physiological or pathological effects. As a result of the hypoxic effect, the properties of the ECM are significantly modified, stiffness increases, the balance between degradation and synthesis of structural proteins shifts, and the deposition of biologically active mediators’ changes. Hypoxia-inducible… More >

Akmalbek Abdusalomov¹, Alpamis Kutlimuratov², Rashid Nasimov³, Taeg Keun Whangbo^1,*

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2915-2933, 2023, DOI:10.32604/cmc.2023.044466

Abstract The performance of a speech emotion recognition (SER) system is heavily influenced by the efficacy of its feature extraction techniques. The study was designed to advance the field of SER by optimizing feature extraction techniques, specifically through the incorporation of high-resolution Mel-spectrograms and the expedited calculation of Mel Frequency Cepstral Coefficients (MFCC). This initiative aimed to refine the system’s accuracy by identifying and mitigating the shortcomings commonly found in current approaches. Ultimately, the primary objective was to elevate both the intricacy and effectiveness of our SER model, with a focus on augmenting its proficiency in… More >

LEONARDO GóMEZ ROSSO, BELéN DAVICO, EZEQUIEL LOZANO CHIAPPE, WALTER TETZLAFF, LAURA BOERO, FERNANDO BRITES, MAXIMILIANO MARTíN^*

BIOCELL, Vol.47, No.11, pp. 2361-2383, 2023, DOI:10.32604/biocell.2023.031063

Abstract Cardiovascular diseases (CVDs) are the leading cause of death globally. CVDs are a group of disorders of the heart and blood vessels and include coronary heart disease, cerebrovascular disease and rheumatic heart disease among other conditions. There are multiple independent risk factors for CVD, including hypertension, age, smoking, insulin resistance, elevated low-density lipoprotein cholesterol (LDL-C) levels, and triglyceride levels. LDL-C levels have traditionally been the target for therapies aimed at reducing CVD risk. High density lipoprotein (HDL) constitutes the only lipoprotein fraction with atheroprotective functions. Early HDL-targeted therapies have focused on increasing HDL-C levels. However,… More > Graphic Abstract

HUI LI¹, CHENGFANG ZHOU², MEI KUANG², YUN LIU^1,*, JIEPING CHEN^1,2,*

BIOCELL, Vol.47, No.10, pp. 2177-2186, 2023, DOI:10.32604/biocell.2023.029373

Abstract Fizzy-related protein homolog 1 (FZR1) mainly functions as a specific activator of the anaphase-promoting complex/cyclosome (APC/C) in the cell cycle and controls the G0 and G1 phases of the cell cycle. We highlight recent work that has studied the role of FZR1 in tumorigenesis, growth, differentiation, and genome stability through cell-cycle control. We summarize the current state of knowledge regarding FZR1 structure, function, and the distinct ways of APC/C dysregulation in solid tumors and hematologic malignancies. We also discuss novel approaches for targeting the FZR1 as a cancer therapy and research area for future work. More >

Armin Saed-Moucheshi^1,*, Elham Rezaei Mirghaed²

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 1921-1941, 2023, DOI:10.32604/phyton.2023.027810

Abstract

One of the main reasons of the annual reduction in plant production all around the world is the occurrence of abiotic stresses as a result of an unpredicted changes in environmental conditions. Abiotic stresses basically trigger numerous pathways related to oxygen free radicals’ generation resulting in a higher rate of reactive oxygen species (ROS) production. Accordingly, higher rate of oxygen free radicals than its steady state causes to oxidize various types of molecules and compartments within the plants’ cells and tissues. Oxidative stress is the result of high amount free radicals of oxygen interfering with different

… More >

Yun-Jung Choi¹, Youn-Joo Um^2,*

International Journal of Mental Health Promotion, Vol.25, No.3, pp. 421-431, 2023, DOI:10.32604/ijmhp.2023.023255

Abstract Major media outlets have run many articles on the COVID-19 pandemic. Since the public suffers cognitive and emotional effects related to COVID-19 from such reports, we analyzed and reviewed the topics of news reports. We searched newspaper articles with the term ‘COVID-19’ term in four Korean daily newspapers from January 20, 2020, when the first patient in Korea was found, to June 15, 2020. Topic modeling analysis was conducted through text mining using R. Five themes were found: “Changes in people’s everyday life,” “Socio-economic shock,” “Trends in infection,” “Role of the government and business,” and More >

Ali F. Khalifa¹, Eman Badr^1,2,*

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1995-2024, 2023, DOI:10.32604/cmc.2023.035888

Abstract Image segmentation is crucial for various research areas. Many computer vision applications depend on segmenting images to understand the scene, such as autonomous driving, surveillance systems, robotics, and medical imaging. With the recent advances in deep learning (DL) and its confounding results in image segmentation, more attention has been drawn to its use in medical image segmentation. This article introduces a survey of the state-of-the-art deep convolution neural network (CNN) models and mechanisms utilized in image segmentation. First, segmentation models are categorized based on their model architecture and primary working principle. Then, CNN categories are More >

Manjur Kolhar^*, Mohammed Misfer

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 529-542, 2023, DOI:10.32604/iasc.2023.030098

Abstract Machine learning (ML) and cloud computing have now evolved to the point where they are able to be used effectively. Further improvement, however, is required when both of these technologies are combined to reap maximum benefits. A way of improving the system is by enabling healthcare workers to select appropriate machine learning algorithms for prediction and, secondly, by preserving the privacy of patient data so that it cannot be misused. The purpose of this paper is to combine these promising technologies to maintain the privacy of patient data during the disease prediction process. Treatment of… More >