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  • Open Access

    ARTICLE

    Structure-Aware Malicious Behavior Detection through 2D Spatio-Temporal Modeling of Process Hierarchies

    Seong-Su Yoon, Dong-Hyuk Shin, Ieck-Chae Euom*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2683-2706, 2025, DOI:10.32604/cmes.2025.071577 - 26 November 2025

    Abstract With the continuous expansion of digital infrastructures, malicious behaviors in host systems have become increasingly sophisticated, often spanning multiple processes and employing obfuscation techniques to evade detection. Audit logs, such as Sysmon, offer valuable insights; however, existing approaches typically flatten event sequences or rely on generic graph models, thereby discarding the natural parent-child process hierarchy that is critical for analyzing multiprocess attacks. This paper proposes a structure-aware threat detection framework that transforms audit logs into a unified two-dimensional (2D) spatio-temporal representation, where process hierarchy is modeled as the spatial axis and event chronology as the More >

  • Open Access

    REVIEW

    A Review of Modern Strategies for Enhancing Power Quality and Hosting Capacity in Renewable-Integrated Grids: From Conventional Devices to AI-Based Solutions

    Adel A.Abou El-Ela1, Ragab A. El-Sehiemy2,3,4,*, Abdallah Nazih1, Asmaa A. Mubarak5, Eman S. Ali1

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1349-1388, 2025, DOI:10.32604/cmes.2025.069507 - 26 November 2025

    Abstract Distribution systems face significant challenges in maintaining power quality issues and maximizing renewable energy hosting capacity due to the increased level of photovoltaic (PV) systems integration associated with varying loading and climate conditions. This paper provides a comprehensive overview on the exit strategies to enhance distribution system operation, with a focus on harmonic mitigation, voltage regulation, power factor correction, and optimization techniques. The impact of passive and active filters, custom power devices such as dynamic voltage restorers (DVRs) and static synchronous compensators (STATCOMs), and grid modernization technologies on power quality is examined. Additionally, this paper… More >

  • Open Access

    ARTICLE

    BMP-2 Inhibits the Inflammatory Response and Promotes Bone Formation in Rats with Femoral Fracture by Activating the AMPK Signaling Pathway

    Yong Huang1, Xiandeng Li1, Qingling Jing1, Qin Zhang1, Chungui Huang2,*

    BIOCELL, Vol.49, No.11, pp. 2195-2216, 2025, DOI:10.32604/biocell.2025.072716 - 24 November 2025

    Abstract Objective: Mesenchymal stem cells (MSCs) are important cells in bone tissue engineering. Bone morphogenetic protein-2 (BMP-2) effectively treats bone defects and nonunion. The purpose of this study is to investigate whether BMP-2 promotes bone formation and femoral fracture healing by inhibiting inflammation and promoting osteogenic differentiation of MSCs, in order to provide an experimental basis for developing more efficient fracture treatment strategies. Methods: Bone marrow-derived MSCs (BMSCs) were isolated from rats and treated with OE-BMP-2, the 5-adenosine monophosphate-activated protein kinase (AMPK) signal agonist 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR), and the inhibitor Compound C. Osteogenic differentiation was evaluated through… More >

  • Open Access

    ARTICLE

    Understanding Academic Evaluation Anxiety in Portuguese Adolescents: A Psychosocial and Educational Perspective

    Marta Reis1,2,3,4,5,*, Catarina Noronha6, Gina Tomé3,4,5, Marina Carvalho4,6, Nuno Neto Rodrigues7, Margarida Gaspar de Matos3,4,6

    International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1457-1470, 2025, DOI:10.32604/ijmhp.2025.070318 - 31 October 2025

    Abstract Objectives: Academic Evaluation Anxiety is a significant psychological concern among adolescents, with well-documented impacts on academic performance, emotional well-being, and school engagement. In Portugal, recent evidence suggests growing pressure on students to achieve high academic standards, with psychosocial variables such as resilience, perceived support, and school environment playing a crucial role. This study aims to examine the prevalence and psychosocial predictors of Academic Evaluation Anxiety in Portuguese students, and to identify risk and protective factors that inform educational practice. Methods: This cross-sectional, quantitative study analysed data from 3083 students (5th to 12th grade) from the… More >

  • Open Access

    ARTICLE

    Examining the Influence of Psychological Factors on Mental Health Problems in Korean Adolescents

    Hakgweon Lee1, Youngho Kim2,*

    International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1411-1421, 2025, DOI:10.32604/ijmhp.2025.069543 - 30 September 2025

    Abstract Background: It has been broadly witnessed that a large number of adolescents are suffering emotional and mental health problems after COVID-19, and such adverse experiences in early life often extend into adulthood, resulting in serious long-term implications. However, it is accepted that the literature examining the relationship between mental health problems in adolescents and their underlying psychological factors is limited. The purposes of the current study were to identify mental health problems of Korean adolescents and to investigate the possible influence of self-esteem, self-efficacy, and health locus of control on mental health problems. Methods: A… More >

  • Open Access

    ARTICLE

    Experiences of COVID-19 Intensive Care Unit Physicians and Hospital Administrators: Qualitative Findings from Focus Groups

    Traci N. Adams1,#,*, Haley Belt1,#, E. Whitney Pollio2, Leah Cohen1, Roma M. Mehta1, Hetal J. Patel1, Rosechelle M. Ruggiero1, Carol S. North3

    International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1369-1382, 2025, DOI:10.32604/ijmhp.2025.066495 - 30 September 2025

    Abstract Background: While quantitative research has determined that emotional distress and psychiatric illness among frontline healthcare workers increased with the COVID-19 pandemic, detailed qualitative data describing their personal experiences are needed in order to make appropriate plans to address provider mental health in future pandemics. This study aims to further explore the psychological effects of the pandemic on COVID-19 ICU clinicians and administrators through focus groups. Methods: Two separate 2-h focus groups of physicians were conducted, one with frontline faculty clinicians and another with administrators. Qualitative data analysis was conducted. Results: In September and November 2023, volunteer… More >

  • Open Access

    ARTICLE

    ScRNA-seq and Experimental Analyses Unveil Lrg1 Regulating the Oxidative Phosphorylation Pathway to Affect Neutrophil Accumulation after Cerebral Ischemia-Reperfusion

    Luyao Jiang1,#, Longsheng Fu2,#, Shaofeng Xiong2,3, Guosheng Cao4, Yanqin Mei2,3, Yaoqi Wu2, Jin Chen1,*, Yanni LV2,5,6,*

    BIOCELL, Vol.49, No.9, pp. 1749-1769, 2025, DOI:10.32604/biocell.2025.068507 - 25 September 2025

    Abstract Background: After ischemic stroke, neutrophils hyperactivate, increasing in number and worsening inflammation, causing neural damage. Prior scRNA-seq showed Lrg1 modulates cells subsentence to cerebral ischemia-reperfusion injury, but its mechanism in regulating neutrophil accumulation/differentiation post-injury is unclear. Methods: Lrg1 knockout impact on neutrophil accumulation was assessed via immunofluorescence and western blot. Three-dimensional reconstruction of immunofluorescent staining analyzed cell-cell interactions among neutrophils and microglia. scRNA-seq of WT and Lrg1-/- mice from GSE245386 and GSE279462 was conducted. Each group conducted oxidative phosphorylation scoring via Gene Set Enrichment Analysis (GSEA), while Metascape was employed to perform GO and KEGG enrichment… More > Graphic Abstract

    ScRNA-seq and Experimental Analyses Unveil Lrg1 Regulating the Oxidative Phosphorylation Pathway to Affect Neutrophil Accumulation after Cerebral Ischemia-Reperfusion

  • Open Access

    ARTICLE

    Forensic Analysis of Cyberattacks in Electric Vehicle Charging Systems Using Host-Level Data

    Salam Al-E’mari1, Yousef Sanjalawe2,*, Budoor Allehyani3, Ghader Kurdi4, Sharif Makhadmeh2, Ameera Jaradat5, Duaa Hijazi6

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3289-3320, 2025, DOI:10.32604/cmc.2025.067950 - 23 September 2025

    Abstract Electric Vehicle Charging Systems (EVCS) are increasingly vulnerable to cybersecurity threats as they integrate deeply into smart grids and Internet of Things (IoT) environments, raising significant security challenges. Most existing research primarily emphasizes network-level anomaly detection, leaving critical vulnerabilities at the host level underexplored. This study introduces a novel forensic analysis framework leveraging host-level data, including system logs, kernel events, and Hardware Performance Counters (HPC), to detect and analyze sophisticated cyberattacks such as cryptojacking, Denial-of-Service (DoS), and reconnaissance activities targeting EVCS. Using comprehensive forensic analysis and machine learning models, the proposed framework significantly outperforms existing More >

  • Open Access

    ARTICLE

    Leveraging Machine Learning to Predict Hospital Porter Task Completion Time

    You-Jyun Yeh1, Edward T.-H. Chu1,*, Chia-Rong Lee2, Jiun Hsu3, Hui-Mei Wu3

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3369-3391, 2025, DOI:10.32604/cmc.2025.065336 - 23 September 2025

    Abstract Porters play a crucial role in hospitals because they ensure the efficient transportation of patients, medical equipment, and vital documents. Despite its importance, there is a lack of research addressing the prediction of completion times for porter tasks. To address this gap, we utilized real-world porter delivery data from National Taiwan University Hospital, Yunlin Branch, Taiwan. We first identified key features that can influence the duration of porter tasks. We then employed three widely-used machine learning algorithms: decision tree, random forest, and gradient boosting. To leverage the strengths of each algorithm, we finally adopted an… More >

  • Open Access

    ARTICLE

    Early Development and Phosphorus Use Efficiency Response to Phosphate Fertilizer Rates Associated with Phosphate-Solubilizing Bacteria in Contrasting Corn Hybrids

    Gilciany Ribeiro Soares1, Jiovana Kamila Vilas Boas1, Fábio Steiner1,2, Jorge González Aguilera2,*, Alan Mario Zuffo3, José Vitor Marçal do Prado2, Wellingthon da Silva Guimarães Júnnyor2, Leandris Argentel- Martínez4, Luis Morales-Aranibar5

    Phyton-International Journal of Experimental Botany, Vol.94, No.8, pp. 2347-2363, 2025, DOI:10.32604/phyton.2025.066264 - 29 August 2025

    Abstract Corn (Zea mays L.) is a very sensitive crop to phosphorus (P) deficiency during the early development phase, which may be a limiting factor for the sustainable production of this crop in P-deficient tropical soils. However, scientific evidence indicates that inoculation with phosphate-solubilizing bacteria can improve the development, uptake, and P-use efficiency of corn plants. In the present study, two contrasting corn hybrids were investigated for their responsiveness to multiple inoculations of Bacillus subtilis, B. megaterium, B. velezencis, and Pseudomonas fluorescens and application of phosphate fertilizer rates in the sandy soil of the Brazilian Cerrado. Plants from stable (DKB 360… More >

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