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  • Open Access

    ARTICLE

    Experimental Evaluation of Spatio-Temporal Data Utilization on Floating Cyber-Physical System Platform

    Daiki Nobayashi1,*, Meiya Tanaka2, Naoki Tanaka2, Riku Nakamura2, Kazuya Tsukamoto3, Takeshi Ikenaga1, Shu Sekigawa4, Myung Lee5

    CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077008 - 09 April 2026

    Abstract To realize local production and consumption of Spatio-temporal data (STD), it is essential to address two key challenges: (1) maintaining data locality by retaining and distributing STD close to their generation area, and (2) enabling application execution on heterogeneous and resource-constrained devices through a lightweight and portable execution platform. To address these challenges, we developed a Floating Cyber-Physical System (F-CPS) that retains both STD and the functions required to process and use the STD within a specific area. In the F-CPS, the STD Retention System directly distributes STD from the generation location and maintains the… More >

  • Open Access

    ARTICLE

    Experimental Validation on a Real-World Truss Structure of a Damage Localization Method Based on Mode Shape Derivatives

    Giada Faraco*, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro*, Arcangelo Messina

    Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.075327 - 31 March 2026

    Abstract Damage detection and localization analysis have gained increasing importance over the years, due to the growing number of catastrophic events and the associated risks that small, undetected cracks in structures may evolve into severe failures if not identified in time. In this context, vibration-based methods have been extensively investigated for structural damage detection. Among them, one of the most widely used approaches since its introduction is the curvature method. It has been successfully employed in numerous studies, consistently providing reliable results. However, the use of second-order or higher-order derivatives can be challenging when dealing with… More >

  • Open Access

    REVIEW

    Holocentric Chromosomes in Plants: Historical Overview, Developments and Challenges

    Ana Luisa Arantes Chaves1,*, Marco Tulio Mendes Ferreira2

    Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.077185 - 31 March 2026

    Abstract Holocentric chromosomes, characterized by kinetochore activity distributed along almost their entire length, have attracted growing interest in cytogenetics and evolutionary biology, particularly because of their adaptive significance. This review provides a historical overview of research on holocentricity, from the earliest microscopic observations to recent advances made possible by modern molecular and cytogenetic techniques. We discuss the main hypotheses concerning the origin and evolution of holocentric chromosomes, emphasizing their multiple independent origins across diverse lineages, as well as the potential selective pressures underlying their maintenance and diversification. In addition, we examine the principal methods used for More >

  • Open Access

    ARTICLE

    Exploring Machine Learning Approaches for Decision Support in Neoadjuvant Therapy of Locally Advanced Rectal Cancer

    Eshita Dhar1,2, Muhammad Ashad Kabir3, Divyabharathy Ramesh Nadar4, Li-Jen Kuo5, Jitendra Jonnagaddala6,7, Yaoru Huang1, Mohy Uddin8,*, Shabbir Syed-Abdul1,2,9,*

    Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.074385 - 23 March 2026

    Abstract Objectives: Decisions regarding CT after nCCRT for locally advanced rectal cancer (LARC) are challenging due to limited evidence guiding treatment. This study aimed to (i) evaluate the predictive performance of machine learning (ML) models in patients treated with neoadjuvant concurrent chemoradiotherapy (nCCRT) alone vs. those receiving nCCRT plus chemotherapy (CT), (ii) identify features associated with treatment improvement, and (iii) derive ML-based thresholds for treatment response. Methods: This retrospective study included 409 patients with LARC treated at three affiliated hospitals of Taipei Medical University. Patients were categorised into two groups: nCCRT alone followed by surgery (n =… More >

  • Open Access

    REVIEW

    Next-Generation Hydrogel Platforms for Effective Localized Cancer Therapy: Advances in Biologics, Immunotherapeutics, and Gene Delivery

    Vincenzo Montanarella1, Marcelo Guerrero2,3, David Filho2,3, Júlia German-Cortés1, Giacomoluciano Vitelli1, Magalí Sureda1, Carlos Pavón Regaña1, Roser Ferrer1,4, Simó Schwartz1,4, Esteban Durán-Lara2,3, Fernanda Andrade1,5,*, Diana Rafael1,6,*

    Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2026.074061 - 23 March 2026

    Abstract Despite remarkable advances in nanomedicine, localized delivery of advanced cancer therapeutics remains underexploited. Advanced therapies based on biopharmaceuticals, immunotherapy, or gene therapy have revolutionized oncology. Yet, their systemic administration is often associated with limitations such as poor site-specific accumulation, instability, and systemic toxicity. Hydrogels/macrogels offer the ability to encapsulate, protect, and release biomolecules in situ with sustained and stimulus-responsive profiles, addressing key translational gaps. This review provides a focused synthesis of the last five years of hydrogel-based research for cancer therapy, with emphasis on peptides, antibodies, immunotherapeutic agents, and gene delivery systems. We discuss design principles,… More > Graphic Abstract

    Next-Generation Hydrogel Platforms for Effective Localized Cancer Therapy: Advances in Biologics, Immunotherapeutics, and Gene Delivery

  • Open Access

    ARTICLE

    TQU-GraspingObject: 3D Common Objects Detection, Recognition, and Localization on Point Cloud for Hand Grasping in Sharing Environments

    Thi-Loan Nguyen1,2,*, Huy-Nam Chu3, The-Thanh Hua3, Trung-Nghia Phung2, Van-Hung Le3,*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.076732 - 12 March 2026

    Abstract To support the process of grasping objects on a tabletop for the blind or robotic arm, it is necessary to address fundamental computer vision tasks, such as detecting, recognizing, and locating objects in space, and determining the position of the grasping information. These results can then be used to guide the visually impaired or to execute grasping tasks with a robotic arm. In this paper, we collected, annotated, and published the benchmark TQU-GraspingObject dataset for testing, validation, and evaluation of deep learning (DL) models for detecting, recognizing, and localizing grasping objects in 2D and 3D… More >

  • Open Access

    ARTICLE

    Abel-Net: Aggregate Bilateral Edge Localization Network for Multi-Task Binary Segmentation

    Zhengyu Wu1, Kejun Kang2, Yixiu Liu3,*, Chenpu Li3

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075593 - 12 March 2026

    Abstract Binary segmentation tasks in computer vision exhibit diverse appearance distributions and complex boundary characteristics. To address the limited generalization and adaptability of existing models across heterogeneous tasks, we propose Abel-Net, an Aggregated Bilateral Edge Localization Network designed as a universal framework for multi-task binary segmentation. Abel-Net integrates global and local contextual cues to enhance feature learning and edge precision. Specifically, a multi-scale feature pyramid fusion strategy is implemented via an Aggregated Skip Connection (ASC) module to strengthen feature adaptability, while the Edge Dual Localization (EDL) mechanism performs coarse-to-fine refinement through edge-aware supervision. Additionally, Edge Attention More >

  • Open Access

    ARTICLE

    Local-Stress-Induced Detwinning in Nanotwinned Al without Shear Stress on Twin Boundaries

    Wenchao Shi1, Tao Wei2, Chuan Yang3, Qichao Fan3, Hongxi Liu4, Bin Shao5,*, Peng Jing4,*

    CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075293 - 12 March 2026

    Abstract Enhancing the strength of nanotwinned aluminum (Al) is essential for the development of next-generation high-end chip technology. To better understand the detwinning behavior of nanotwinned Al under conditions with no resolved shear stress acting on the twin boundaries, we conducted molecular dynamics simulations of uniaxial tensile deformation in nanotwinned single-crystal Al at room temperature. Detwinning is observed only when the twin boundary spacing is 7.01 Å. At larger spacings, twin boundaries remain parallel to the loading direction, with no rotation or bending, indicating negligible migration. Detwinning is triggered by localized stress from dislocation interactions, with More >

  • Open Access

    ARTICLE

    Oncological outcomes of I125 low dose brachytherapy in localized prostate cancer

    Gilberto Chéchile Toniolo1, Nuria Jornet1,*, Jady Rojas1, Natalia Tejedor1, Santiago Carrara1, Alicia Maccagno2, Teresa Brufau1

    Canadian Journal of Urology, Vol.33, No.1, pp. 93-103, 2026, DOI:10.32604/cju.2026.069182 - 28 February 2026

    Abstract Background: Low-dose rate (LDR) prostate brachytherapy is a recommended treatment of localized prostate cancer in current guidelines. The study aimed to determine biochemical relapse-free survival (BRFS) in patients treated with dynamic real-time low-dose rate (LDR) brachytherapy using Iodine 125 (I125). Methods: We retrospectively reviewed 499 patients with localized prostate cancer treated with I125 LDR real-time brachytherapy between 2003 and 2021. The mean patient age was 65 years (range: 45–84 years). Based on the National Comprehensive Cancer Network (NCCN) risk classification, 230 patients (46.1%) were categorized as low risk, 235 (47.1%) as intermediate risk, and 34 (6.8%)… More >

  • Open Access

    REVIEW

    Prostate specific membrane antigen (PSMA) as a biomarker in early and localized advanced prostate cancer: a narrative review

    Jonathon Carll1,2,3,*, Jacinta Bonaddio1, Dixon Woon1,4,5, Marlon Perera1,4,5,6, Nathan Lawrentschuk2,3,5,6, Thilakavathi Chengodu1,3

    Canadian Journal of Urology, Vol.33, No.1, pp. 21-34, 2026, DOI:10.32604/cju.2025.068908 - 28 February 2026

    Abstract Prostate-specific membrane antigen (PSMA) is a surface membrane antigen that is highly overexpressed in prostate cancer, with heterogenous expression throughout the natural history of the disease. This has generated significant interest as a potential biomarker for use in early diagnosis and treatment of prostate cancer. We reviewed the literature surrounding PSMA and its current clinical applications in diagnosing and managing early prostate cancer that is confined to the prostate and local lymph nodes. A search on PubMed, Medline, and Web of Science was performed using the following keywords: “PSMA”, “Prostate Specific Membrane Antigen”, “Prostate cancer”,… More >

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