Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (432)
  • 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

    Early Chemodiversity of Alkaloids in Seedlings Annona Species

    Iván De-la-Cruz-Chacón, Christian Anabí Riley-Saldaña, Marisol Castro-Moreno, Claudia Azucena Durán-Ruiz, Alma Rosa González-Esquinca*

    Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3509-3526, 2025, DOI:10.32604/phyton.2025.072586 - 01 December 2025

    Abstract The seedling phase represents an initial and critical stage for the establishment of individuals in the ecosystem. During this stage, specialized metabolites contribute to survival; however, studies analyzing the presence of these molecules and the reasons for their production and accumulation are still scarce. Annonaceae is a botanical family recognized for the chemodiversity of its secondary metabolites; nearly 1000 alkaloids have been reported in approximately 150 adult specimens. The aim of this study was to determine whether alkaloid biosynthesis in Annonaceae is expressed from early stages. For this purpose, Annona macroprophyllata, Annona muricata, Annona purpurea, and Annona reticulata seedlings,… More >

  • Open Access

    ARTICLE

    Germination and Early Growth Responses of Bread Wheat (Triticum aestivum L.) to Cadmium Stress

    Nada Zaari Jabri1, Mohamed Ait-El-Mokhtar1,*, Fadoua Mekkaoui1, Najwa Rabah1, Ilham Amghar1, Ghizlane Diria2, Abdelaziz Hmyene1

    Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3687-3701, 2025, DOI:10.32604/phyton.2025.071634 - 01 December 2025

    Abstract Cadmium (Cd) contamination is a major environmental stressor that adversely affects crop germination and early development. This study assessed the impact of increasing Cd concentrations (0.125 to 1 g/L) on seed germination and early seedling growth in three bread wheat (Triticum aestivum L.) cultivars: Achtar, Lina, and Snina. The results revealed a clear dose-dependent inhibitory effect of Cd. Germination percentage (GP) significantly declined with increasing Cd levels, while mean germination time was progressively delayed, particularly at higher concentrations. Vigor index (VI) also showed significant reductions, reflecting compromised seedling establishment. Morphological traits, especially shoot and root lengths,… More >

  • Open Access

    ARTICLE

    The Plateau Dilemma: Identifying Key Factors of Depression Risk among Middle-Aged and Older Chinese with Chronic Diseases

    Zhe He1, Yaning Zhang2,*

    International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1747-1768, 2025, DOI:10.32604/ijmhp.2025.070491 - 28 November 2025

    Abstract Background: Depression represents a significant global mental health burden, particularly among middle-aged and older Chinese with chronic diseases in high-altitude regions, where harsh environmental conditions and limited social support exacerbate mental health disparities. This paper aims to develop an interpretable machine learning prediction framework to identify the key factors of depression in this vulnerable population, thereby proposing targeted intervention measures. Methods: Utilizing data from the China Health and Retirement Longitudinal Study in 2020, this paper screened out and analyzed 2431 samples. Subsequently, Recursive Feature Elimination and Least Absolute Shrinkage and Selection Operator were applied to screen… More >

  • Open Access

    ARTICLE

    A Computational Modeling Approach for Joint Calibration of Low-Deviation Surgical Instruments

    Bo Yang1,2, Yu Zhou3, Jiawei Tian4,*, Xiang Zhang2, Fupei Guo2, Shan Liu5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2253-2276, 2025, DOI:10.32604/cmes.2025.072031 - 26 November 2025

    Abstract Accurate calibration of surgical instruments and ultrasound probes is essential for achieving high precision in image guided minimally invasive procedures. However, existing methods typically treat the calibration of the needle tip and the ultrasound probe as two independent processes, lacking an integrated calibration mechanism, which often leads to cumulative errors and reduced spatial consistency. To address this challenge, we propose a joint calibration model that unifies the calibration of the surgical needle tip and the ultrasound probe within a single coordinate system. The method formulates the calibration process through a series of mathematical models and… More >

  • Open Access

    REVIEW

    Deep Learning in Medical Image Analysis: A Comprehensive Review of Algorithms, Trends, Applications, and Challenges

    Dawa Chyophel Lepcha1,*, Bhawna Goyal2,3, Ayush Dogra4, Ahmed Alkhayyat5, Prabhat Kumar Sahu6, Aaliya Ali7, Vinay Kukreja4

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1487-1573, 2025, DOI:10.32604/cmes.2025.070964 - 26 November 2025

    Abstract Medical image analysis has become a cornerstone of modern healthcare, driven by the exponential growth of data from imaging modalities such as MRI, CT, PET, ultrasound, and X-ray. Traditional machine learning methods have made early contributions; however, recent advancements in deep learning (DL) have revolutionized the field, offering state-of-the-art performance in image classification, segmentation, detection, fusion, registration, and enhancement. This comprehensive review presents an in-depth analysis of deep learning methodologies applied across medical image analysis tasks, highlighting both foundational models and recent innovations. The article begins by introducing conventional techniques and their limitations, setting the… More >

  • Open Access

    HOW I DO IT

    Freehand transperineal prostate biopsy under local anesthesia using a novel needle guide system with angle-adjustment feature

    Eriz Özden1,*, Erdem Öztürk2

    Canadian Journal of Urology, Vol.32, No.5, pp. 477-482, 2025, DOI:10.32604/cju.2025.067507 - 30 October 2025

    Abstract Overview: Freehand transperineal prostate biopsy (TPPB) needle guides are designed to maintain a parallel alignment between the co-axial introducer needle and the ultrasound (US) transducer. However, this parallel alignment necessitates transducer angulations within the patient’s rectum for sampling anterior or posterior regions of the prostate, which introduces several problems both for the patient and the operator. This article introduces a technique using a TPPB needle guide system with a novel angle-adjustment feature, which minimizes intrarectal transducer movements. Objectives: Freehand TPPB typically requires anterior or posterior angulation of the ultrasound (US) transducer, which leads to prostate More >

  • Open Access

    ARTICLE

    Ultrasound-Assisted Hydrothermal Treatment in Combination with Chitosan for Fungal Control of Botrytis cinerea

    Surelys Ramos-Bell1, Edson Rayón-Díaz1, Juan A. Herrera-González2, Estefanía Martínez-Batista1, Rita M. Velázquez-Estrada1, Porfirio Gutiérrez–Martínez1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3145-3156, 2025, DOI:10.32604/phyton.2025.071543 - 29 October 2025

    Abstract A significant portion of losses in the fruit and vegetable sector are caused by the necrotrophic fungus Botrytis cinerea, due to its high prevalence in over 1000 crop species. Identifying a technology capable of exclusively inhibiting its growth and development remains challenging; therefore, various treatments have been proposed to act synergistically in preventing the spread of this pathogen. The objective of this study was to evaluate an ultrasound-assisted treatment combined with chitosan to control the development of B. cinerea. In vitro analyses showed that combining temperature, ultrasound, and chitosan inhibited the fungal radial growth by 80%, reduced sporulation, More >

  • Open Access

    ARTICLE

    Colored Tubes and Chlorella Vulgaris Bioinput Improve Growth and Quality of Hancornia speciosa Seedlings

    Giovana Pinheiro Viana da Silva1, Edilson Costa1,*, Paulo Henrique Rosa Melo1, Fernanda Pacheco de Almeida Prado Bortolheiro1, Thaise Dantas2, Flávio Ferreira da Silva Binotti1, Carlos Eduardo da Silva Oliveira1, Abimael Gomes da Silva1

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3109-3123, 2025, DOI:10.32604/phyton.2025.070221 - 29 October 2025

    Abstract Hancornia speciosa ‘Gomes’, commonly known as mangabeira, is a fruit-bearing tree native to Brazil that plays a crucial role in sustaining its native biome, restoring degraded areas, and improving the socio-environmental conditions of these regions. The use of colored materials and bioinputs can help improve the quality of seedling production of Hancornia speciosa. This study aimed to evaluate the use of colored seedling tubes and a Chlorella vulgaris-based bioinput in developing Hancornia speciosa seedlings. The experiment was conducted at the Mato Grosso do Sul State University (UEMS), in Cassilândia, MS, using a completely randomized design in a 5 ×… More >

  • Open Access

    ARTICLE

    Cue-Tracker: Integrating Deep Appearance Features and Spatial Cues for Multi-Object Tracking

    Sheeba Razzaq1,*, Majid Iqbal Khan2

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5377-5398, 2025, DOI:10.32604/cmc.2025.068539 - 23 October 2025

    Abstract Multi-Object Tracking (MOT) represents a fundamental but computationally demanding task in computer vision, with particular challenges arising in occluded and densely populated environments. While contemporary tracking systems have demonstrated considerable progress, persistent limitations—notably frequent occlusion-induced identity switches and tracking inaccuracies—continue to impede reliable real-world deployment. This work introduces an advanced tracking framework that enhances association robustness through a two-stage matching paradigm combining spatial and appearance features. Proposed framework employs: (1) a Height Modulated and Scale Adaptive Spatial Intersection-over-Union (HMSIoU) metric for improved spatial correspondence estimation across variable object scales and partial occlusions; (2) a feature More >

Displaying 1-10 on page 1 of 432. Per Page