Weibing Xu¹, Bo Yao^2,*, Xiangjun Quan³, Xunyou Zhang¹, Ning Zou², Shuo Liu², Jia Wang⁴, Jiansuo Zhang⁴

Energy Engineering, Vol.122, No.10, pp. 4225-4243, 2025, DOI:10.32604/ee.2025.066738 - 30 September 2025

Abstract The integration of large-scale new energy and high-capacity DC transmission leads to a reduction in system inertia. Grid-forming renewable energy sources (GF-RES) has a significant improvement effect on system inertia. Commutation failure faults may cause a short-term reactive power surplus at the sending end and trigger transient overvoltage, threatening the safe and stable operation of the power grid. However, there is a lack of research on the calculation method of transient overvoltage caused by commutation failure in high-voltage DC transmission systems with grid-forming renewable energy sources integration. Based on the existing equivalent model of high-voltage… More >

Ibtisam A. Taqi^*, Sarab M. Hameed

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1653-1674, 2025, DOI:10.32604/cmc.2025.067524 - 29 August 2025

Abstract The exponential growth of audio data shared over the internet and communication channels has raised significant concerns about the security and privacy of transmitted information. Due to high processing requirements, traditional encryption algorithms demand considerable computational effort for real-time audio encryption. To address these challenges, this paper presents a permutation for secure audio encryption using a combination of Tent and 1D logistic maps. The audio data is first shuffled using Tent map for the random permutation. The high random secret key with a length equal to the size of the audio data is then generated… More >

Sumika Chauhan¹, Govind Vashishtha^1,*, Riya Singh², Divesh Bharti³

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 309-343, 2025, DOI:10.32604/cmes.2025.068628 - 31 July 2025

Abstract This paper introduces a novel optimization approach called Recuperated Seed Search Optimization (RSSO), designed to address challenges in solving mechanical engineering design problems. Many optimization techniques struggle with slow convergence and suboptimal solutions due to complex, nonlinear natures. The Sperm Swarm Optimization (SSO) algorithm, which mimics the sperm’s movement to reach an egg, is one such technique. To improve SSO, researchers combined it with three strategies: opposition-based learning (OBL), Cauchy mutation (CM), and position clamping. OBL introduces diversity to SSO by exploring opposite solutions, speeding up convergence. CM enhances both exploration and exploitation capabilities throughout More >

Li Ming Zheng, Jun Ting Luo^*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2473-2494, 2025, DOI:10.32604/cmc.2025.063347 - 03 July 2025

Abstract Differential evolution (DE) algorithms are simple and efficient evolutionary algorithms that perform well in various optimization problems. Unfortunately, they inevitably stagnate when differential evolutionary algorithms are used to solve complex problems (e.g., real-world artificial neural network (ANN) training problems). To resolve this issue, this paper proposes a framework based on an efficient elite centroid operator. It continuously monitors the current state of the population. Once stagnation is detected, two dedicated operators, centroid-based mutation (CM) and centroid-based crossover (CX), are executed to replace the classical mutation and binomial crossover operations in DE. CM and CX are… More >

KHANH TOAN NGUYEN^*, THI HUONG PHAM, VAN LAM NGO, VAN TUAN BUI, VAN NHAT NGUYEN, THI PHUONG THAO NGUYEN, THI KHANH HA NGUYEN, THI THUY VAN NGUYEN

Oncology Research, Vol.33, No.7, pp. 1667-1677, 2025, DOI:10.32604/or.2025.061905 - 26 June 2025

Abstract Aims: The study aimed to evaluate the effectiveness and adverse events of tyrosine kinase inhibitors (TKIs) in the first-line treatment of advanced non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations. Methods: A retrospective study on advanced NSCLC patients with EGFR mutations treated with TKIs as a first-line therapy at Nghe An Oncology Hospital, Vietnam between January 2017 and August 2023. The primary endpoints included objective response rate, progression-free survival, and tolerability. The secondary endpoint was overall survival. Results: A total of 211 patients received first-line treatment with Erlotinib (n = 74), Gefitinib (n… More >

Wenjia Zhang^*, Sixuan Xu, Wanchun Qi, Zhuyi Peng, Wentao Sun

Energy Engineering, Vol.122, No.6, pp. 2371-2387, 2025, DOI:10.32604/ee.2025.064160 - 29 May 2025

Abstract Countries worldwide are advocating for energy transition initiatives to promote the construction of low-carbon energy systems. The low voltage ride through (LVRT) characteristics of renewable energy units and commutation failures in line commutated converter high voltage direct current (LCC-HVDC) systems at the receiving end leads to short-term power shortage (STPS), which differs from traditional frequency stability issues. STPS occurs during the generator’s power angle swing phase, before the governor responds, and is on a timescale that is not related to primary frequency regulation. This paper addresses these challenges by examining the impact of LVRT on… More >

Yinghui Ye^1,#, Yulou Luo^2,#, Yutian Sun³, Yujie Zhang¹, Jiaxin Lin⁴, Ziling Yang⁵, Anping Xu^6,*, Bei Xue^1,*

Oncology Research, Vol.33, No.6, pp. 1383-1404, 2025, DOI:10.32604/or.2025.062584 - 29 May 2025

Abstract Objectives: The tumorigenic progression of Lung adenocarcinoma (LUAD), the predominant NSCLC subtype, is predominantly driven by co-occurring mutations in KRAS proto-oncogene (KRAS)/Tumor protein p53 (TP53). However, their impact on tumor microenvironment (TME) heterogeneity, particularly neutrophil dynamics, remains poorly understood. This present study aims to elucidate how KRAS/TP53 mutations reprogram the TME and develop a neutrophil-centric prognostic signature for LUAD. Methods: Leveraging single-cell RNA sequencing data and transcriptome data, neutrophil subpopulations were identified using Seurat and CellChat R packages, with trajectory analysis via Monocle2 R package. High-dimensional weighted gene co-expression network analysis (hdWGCNA), univariate Cox regression,… More >

ABDUR JAMIL¹, RIMSHA SIDDIQUE², FARYAL ALTAF³, DANIYAL WARRAICH⁴, FAIZAN AHMED⁵, ZAHEER QURESHI^6,*

Oncology Research, Vol.33, No.6, pp. 1289-1300, 2025, DOI:10.32604/or.2025.058790 - 29 May 2025

Abstract Background: Male breast cancer (MBC) is a rare but significant health concern, accounting for less than 1% of all breast cancer cases. Despite its low incidence, it presents unique clinical, genetic, and psychosocial challenges. Genetic predispositions, including BRCA2 mutations and hormonal imbalances, are key factors influencing the development of MBC. However, the rarity of the condition has led to limited research and fewer treatment guidelines specifically for male patients. Methods: A comprehensive literature review was conducted using PubMed, MEDLINE, and Embase databases to identify studies focusing on the epidemiology, risk factors, clinical presentation, diagnosis, treatment,… More >

Shaoming Qiu, Jingjie He, Yan Wang^*, Bicong E

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4879-4898, 2025, DOI:10.32604/cmc.2025.061532 - 19 May 2025

Abstract Software defect prediction (SDP) aims to find a reliable method to predict defects in specific software projects and help software engineers allocate limited resources to release high-quality software products. Software defect prediction can be effectively performed using traditional features, but there are some redundant or irrelevant features in them (the presence or absence of this feature has little effect on the prediction results). These problems can be solved using feature selection. However, existing feature selection methods have shortcomings such as insignificant dimensionality reduction effect and low classification accuracy of the selected optimal feature subset. In… More >

Hongqun Xiang¹, Jian Zhuang^2,3, Luoning Bao^4,5, Yan Shi^2,3,*

Congenital Heart Disease, Vol.20, No.2, pp. 245-263, 2025, DOI:10.32604/chd.2025.064366 - 30 April 2025

Abstract Congenital heart disease (CHD) is the most common birth defect, with 34% of cases attributed to genetic variants. NOTCH1, a multi-domain transmembrane protein, regulates heart development by controlling the differentiation and migration of myocardial mesoderm cells, and different variants are present in different types of CHD. In this review, we aim to provide a detailed description of NOTCH1 structural domains and their functions, highlighting NOTCH1 variants in CHD and the molecular mechanisms through which they contribute to CHD occurrence. NOTCH1 has two main domains, the NOTCH extracellular domain (NECD) and the NOTCH intracellular domain… More >