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  • Open Access

    ARTICLE

    Siphon-Based Divide-and-Conquer Policy for Enforcing Liveness on Petri Net Models of FMS Suffering from Deadlocks or Livelocks

    Murat Uzam1, Bernard Berthomieu2, Wei Wei3,*, Yufeng Chen3, Mohammed El-Meligy4,5, Mohamed Abdel Fattah Sharaf 6

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-30, 2026, DOI:10.32604/cmc.2025.069502 - 10 November 2025

    Abstract A novel siphon-based divide-and-conquer (SbDaC) policy is presented in this paper for the synthesis of Petri net (PN) based liveness-enforcing supervisors (LES) for flexible manufacturing systems (FMS) prone to deadlocks or livelocks. The proposed method takes an uncontrolled and bounded PN model (UPNM) of the FMS. Firstly, the reduced PNM (RPNM) is obtained from the UPNM by using PN reduction rules to reduce the computation burden. Then, the set of strict minimal siphons (SMSs) of the RPNM is computed. Next, the complementary set of SMSs is computed from the set of SMSs. By the union… More >

  • Open Access

    ARTICLE

    Long Non-Coding RNA HOXA10-AS Promotes the Migration and Invasion of Glioblastoma Cells by Serving as a Competing Endogenous RNA for miR-99a-3p to Upregulate ITGB5 Expression

    Yingjie Wang1,#, Wanlin Dong1,#, Can Wang2, Zirui Li1, Yongqiang Wang1, Qi Li1, Cheng-Ya Dong1,*

    Oncology Research, Vol.33, No.12, pp. 4093-4111, 2025, DOI:10.32604/or.2025.068313 - 27 November 2025

    Abstract Objectives: Glioblastoma is a prevalent malignant brain tumor, and the actions of the long non-coding RNA HOXA10-AS in its invasion and migration remain unclear. Here, the function of HOXA10-AS in glioblastoma cell invasion and migration and associated mechanisms were investigated. Methods: HOXA10-AS was knocked down in glioblastoma cells, and Transwell and wound healing assays were conducted to elucidate its impacts on cell invasion and migration. Western blotting and quantitative reverse transcription polymerase chain reaction (qRT-PCR) assessed HOXA10-AS’s impact on the epithelial-mesenchymal transition (EMT). Microarray analysis identified differentially expressed genes, complemented by bioinformatics approaches to explore… More >

  • Open Access

    ARTICLE

    Phytochemicals, Antioxidation, and Heat Stability of Aqueous Extracts from Cherry (Prunus serrulata) Petals

    Sy-Yu Shiau*, Shuting Ni, Yanli Yu, Songling Cai, Wenbo Huang

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3047-3060, 2025, DOI:10.32604/phyton.2025.070289 - 29 October 2025

    Abstract Consumers are increasingly demanding natural colorants that are safe and offer health benefits. In addition to their ornamental characteristics, Kanzan cherry (KC) blossoms present a promising source of red-hued natural colorants and functional bioactive substances. This research utilized distilled water to extract KC petals (KCP) and their ground powders (KCPP) under varying temperatures (30°C–90°C) and times (30–180 min). The total monomeric anthocyanins (TMAC) and total phenolics (TPC) in the extracts were evaluated via the pH differential and Folin–Ciocalteu methods. Antioxidant capacities were assessed by DPPH free radical scavenging ability and reducing power. Results indicated that… More >

  • Open Access

    ARTICLE

    High Lignin Content Polymer Filaments as Carbon Fibre Precursors

    Rui Ribeiro1,*, Miguel Guerreiro2, Renato Reis2, Joana T. Martins3,4, Jorge M. Vieira3,4, Mariana Martins da Silva1, José A. Covas1, Maria C. Paiva1,*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1859-1880, 2025, DOI:10.32604/jrm.2025.02025-0071 - 22 October 2025

    Abstract The growing environmental awareness, the search for alternatives to fossil resources, and the goal of achieving a circular economy have all contributed to the increasing valorization of biowaste to produce bio-based polymers and other high-value products. Among the various biowaste materials, lignin has gained significant attention due to its high aromatic carbon content, low cost, and abundance. Lignin is predominantly sourced as a byproduct from the paper industry, available in large quantities from hardwood and softwood, with variations in chemical structure and susceptibility to hydrolysis. This study focuses on softwood lignin obtained through the LignoForce™… More > Graphic Abstract

    High Lignin Content Polymer Filaments as Carbon Fibre Precursors

  • Open Access

    ARTICLE

    Genome-Wide Identification of the APETALA2/Ethylene-Responsive Factor (AP2/ERF) Gene Family in Acer paxii and Transcriptional Expression Analysis at Different Leaf Coloration Stages

    Zhong Ren1,2,3,#, Shuiming Zhang1,#, Yuzhi Fei1, Zhu Chen3, Yue Zhao3, Xin Meng3, Hongfei Zhao2,*, Jie Ren3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.9, pp. 2927-2947, 2025, DOI:10.32604/phyton.2025.067310 - 30 September 2025

    Abstract Acer paxii belongs to the evergreen species of Acer, but it exhibits a unique feature of reddish leaves in fall in subtropical regions. Although the association of AP2/ERF transcription factors with color change has been well-documented in prior research, molecular investigations focusing on AP2/ERF remain notably lacking in Acer paxii. This research focuses on performing an extensive genome-wide investigation to identify and characterize the AP2/ERF gene family in Acer paxii. As a result, 123 ApAP2/ERFs were obtained. Phylogenetic analyses categorized the ApAP2/ERF family members into 15 subfamilies. The evolutionary traits of the ApAP2/ERFs were investigated by analyzing their… More >

  • Open Access

    ARTICLE

    Competitive Sequestration of miR-1183 by lncRNA DDX11-AS1 Drives Gliomagenesis through E2F7 Activation

    Jianwei Wang1,2, Xinzhi Yang3, Lvbiao Lin4, Jianbo Yu5,*, Jie Mao4,*

    Oncology Research, Vol.33, No.10, pp. 3023-3040, 2025, DOI:10.32604/or.2025.065380 - 26 September 2025

    Abstract Objectives: Glioma, as the most lethal primary brain malignancy with poor prognosis, requires further elucidation on the functional role of long noncoding RNA (lncRNA) DDX11 antisense RNA 1 (DDX11-AS1) in its pathogenesis, despite its established oncogenic functions in other cancers. Therefore, this study sought to characterize the oncogenic role and molecular mechanism of DDX11-AS1 in glioma. Methods: DDX11-AS1 expression levels were analyzed in clinical surgical glioma specimens and publicly available datasets. The functional roles of DDX11-AS1 on glioma cell proliferation and migration were investigated using in vitro knockdown and overexpression assays. In vivo tumor growth was assessed… More > Graphic Abstract

    Competitive Sequestration of miR-1183 by lncRNA DDX11-AS1 Drives Gliomagenesis through E2F7 Activation

  • Open Access

    ARTICLE

    National survey of radiotherapy and androgen deprivation therapy strategies with PSMA-PET/CT integration in intermediate-risk prostate cancer: TROD 09-007 study

    Aysenur Elmali1, Birhan Demirhan2, Caglayan Selenge Beduk Esen3, Ozan Cem Guler4, Pervin Hurmuz5, Cem Onal1,4,*

    Canadian Journal of Urology, Vol.32, No.4, pp. 243-254, 2025, DOI:10.32604/cju.2025.066700 - 29 August 2025

    Abstract Background: Intermediate-risk prostate cancer (IR-PC) represents a heterogeneous group requiring nuanced treatment approaches, and recent advancements in radiotherapy (RT), androgen deprivation therapy (ADT), and prostate-specific membrane antigen positron emission tomography (PSMA-PET/CT) imaging have prompted growing interest in personalized, risk-adapted management strategies. This study by the Turkish Society for Radiation Oncology aims to examine radiation oncologists’ practices in managing IR-PC, focusing on RT and imaging modalities to identify trends for personalized treatments. Methods: A cross-sectional survey was conducted among Turkish radiation oncologists treating at least 50 prostate cancer (PC) cases annually. The 22-item questionnaire covered IR-PC… More >

  • Open Access

    REVIEW

    A Comprehensive Review of Face Detection/Recognition Algorithms and Competitive Datasets to Optimize Machine Vision

    Mahmood Ul Haq1, Muhammad Athar Javed Sethi1, Sadique Ahmad2, Naveed Ahmad3, Muhammad Shahid Anwar4,*, Alpamis Kutlimuratov5

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1-24, 2025, DOI:10.32604/cmc.2025.063341 - 09 June 2025

    Abstract Face recognition has emerged as one of the most prominent applications of image analysis and understanding, gaining considerable attention in recent years. This growing interest is driven by two key factors: its extensive applications in law enforcement and the commercial domain, and the rapid advancement of practical technologies. Despite the significant advancements, modern recognition algorithms still struggle in real-world conditions such as varying lighting conditions, occlusion, and diverse facial postures. In such scenarios, human perception is still well above the capabilities of present technology. Using the systematic mapping study, this paper presents an in-depth review More >

  • Open Access

    ARTICLE

    A Shuffled Frog-Leaping Algorithm with Competition for Parallel Batch Processing Machines Scheduling in Fabric Dyeing Process

    Mingbo Li, Deming Lei*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1789-1808, 2025, DOI:10.32604/cmes.2025.064886 - 30 May 2025

    Abstract As a complicated optimization problem, parallel batch processing machines scheduling problem (PBPMSP) exists in many real-life manufacturing industries such as textiles and semiconductors. Machine eligibility means that at least one machine is not eligible for at least one job. PBPMSP and scheduling problems with machine eligibility are frequently considered; however, PBPMSP with machine eligibility is seldom explored. This study investigates PBPMSP with machine eligibility in fabric dyeing and presents a novel shuffled frog-leaping algorithm with competition (CSFLA) to minimize makespan. In CSFLA, the initial population is produced in a heuristic and random way, and the More >

  • Open Access

    ARTICLE

    Predicting Short-Term Wind Power Generation at Musalpetti Wind Farm: Model Development and Analysis

    Namal Rathnayake1, Jeevani Jayasinghe2,3, Rashmi Semasinghe2, Upaka Rathnayake4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2287-2305, 2025, DOI:10.32604/cmes.2025.064464 - 30 May 2025

    Abstract In this study, a machine learning-based predictive model was developed for the Musa petti Wind Farm in Sri Lanka to address the need for localized forecasting solutions. Using data on wind speed, air temperature, nacelle position, and actual power, lagged features were generated to capture temporal dependencies. Among 24 evaluated models, the ensemble bagging approach achieved the best performance, with R2 values of 0.89 at 0 min and 0.75 at 60 min. Shapley Additive exPlanations (SHAP) analysis revealed that while wind speed is the primary driver for short-term predictions, air temperature and nacelle position become more More >

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