Yihang Tang¹, Jing Li¹, Wentao Xu¹, Yao Xiao¹, Jiayi Deng¹, Ge Rong¹, Jin Zhao², Song Xu¹, Man Zhou^1,*, Zhongyu Li^3,*

Journal of Renewable Materials, Vol.13, No.10, pp. 1993-2041, 2025, DOI:10.32604/jrm.2025.02025-0065 - 22 October 2025

Abstract Natural fibers, as a typical renewable and biodegradable material, have shown great potential for many applications (e.g., catalysis, hydrogel, biomedicine) in recent years. Recently, the growing importance of natural fibers in these photo-driven applications is reflected by the increasing number of publications. The utilization of renewable materials in photo-driven applications not only contributes to mitigating the energy crisis but also facilitates the transition of society toward a low-carbon economy, thus enabling harmonious coexistence between humans and the environment within the context of sustainable development. This paper provides an overview of the recent advances of natural… More > Graphic Abstract

Zhiwei Chen^#, Runze Liu^#, Shitao Huang, Yangyang Guo^*, Yongjun Ren

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 37-81, 2025, DOI:10.32604/cmes.2025.067809 - 31 July 2025

Abstract The rapid advancement of artificial intelligence technology is driving transformative changes in medical diagnosis, treatment, and management systems through large-scale deep learning models—a process that brings both groundbreaking opportunities and multifaceted challenges. This study focuses on the medical and healthcare applications of large-scale deep learning architectures, conducting a comprehensive survey to categorize and analyze their diverse uses. The survey results reveal that current applications of large models in healthcare encompass medical data management, healthcare services, medical devices, and preventive medicine, among others. Concurrently, large models demonstrate significant advantages in the medical domain, especially in high-precision More >

Ayoub Mhaouch^1,*, Wafa Gtifa², Turke Althobaiti³, Hamzah Faraj⁴, Mohsen Machhout¹

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5637-5663, 2025, DOI:10.32604/cmc.2025.065525 - 30 July 2025

Abstract In medical imaging, accurate brain tumor classification in medical imaging requires real-time processing and efficient computation, making hardware acceleration essential. Field Programmable Gate Arrays (FPGAs) offer parallelism and reconfigurability, making them well-suited for such tasks. In this study, we propose a hardware-accelerated Convolutional Neural Network (CNN) for brain cancer classification, implemented on the PYNQ-Z2 FPGA. Our approach optimizes the first Conv2D layer using different numerical representations: 8-bit fixed-point (INT8), 16-bit fixed-point (FP16), and 32-bit fixed-point (FP32), while the remaining layers run on an ARM Cortex-A9 processor. Experimental results demonstrate that FPGA acceleration significantly outperforms the… More >

Nguyen Khac Toan¹, Ho Nguyen Anh Tuan², Nguyen Truong Thinh^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1273-1295, 2025, DOI:10.32604/cmes.2025.064218 - 30 May 2025

Abstract This paper presents a novel method for reconstructing a highly accurate 3D nose model of the human from 2D images and pre-marked landmarks based on algorithmic methods. The study focuses on the reconstruction of a 3D nose model tailored for applications in healthcare and cosmetic surgery. The approach leverages advanced image processing techniques, 3D Morphable Models (3DMM), and deformation techniques to overcome the limitations of deep learning models, particularly addressing the interpretability issues commonly encountered in medical applications. The proposed method estimates the 3D coordinates of landmark points using a 3D structure estimation algorithm. Sub-landmarks… More > Graphic Abstract

Belkis Sulbarán-Rangel^1,*, Jorge Armando Caldera Siller¹, Salvador García Enríquez², José Anzaldo-Hernandez², Jenny Arratia-Quijada³, Marianelly Esquivel Alfaro⁴

Journal of Renewable Materials, Vol.13, No.5, pp. 849-863, 2025, DOI:10.32604/jrm.2025.02024-0061 - 20 May 2025

Abstract In this research, the antibacterial properties of a composite material prepared from agave bagasse cellulose fibers doped with silver nanoparticles and chitosan were studied. The development of composite materials with antibacterial properties and environmentally friendly based on cellulose fibers from agave bagasse with silver nanoparticles prepared by green synthesis and chitosan from shrimp waste enhances the value of these agro-industrial wastes and offers the opportunity for them to have biomedical applications since these raw materials have been poorly reported for this application. The antibacterial properties of chitosan and silver nanoparticles are already known. However, the… More > Graphic Abstract

Chaichawin Chavapradit¹, Wonnop Visessanguan², Suwan Panjanapongchai¹, Anil Kumar Anal^1,*

Journal of Renewable Materials, Vol.13, No.3, pp. 553-582, 2025, DOI:10.32604/jrm.2025.058857 - 20 March 2025

Abstract The growing population and industrialization have led to significant production in agro-industrial sectors, resulting in large amounts of agro-industrial residues often left untreated, posing potential environmental issues. Therefore, finding effective ways to utilize these bio-based residues is crucial. One promising approach is to use these low- or no-value agro-industrial wastes as raw materials for producing renewable biomaterials, including proteins and peptides. Research has extensively explored peptide extraction using plant and animal-based agro-industrial residue. Due to lower processing costs and beneficial bioactive properties, peptides derived from waste could replace synthetic peptides and those extracted from food More >

Xiaolong Qu^1,2,3, Ziwei Tian^1,3, Jinman Cui^1,3, Ruowei Li^1,3, Dongmei Li^1,3,*, Xiaoping Zhang^2,*

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3583-3616, 2024, DOI:10.32604/cmc.2024.055671 - 19 December 2024

Abstract As an advanced data science technology, the knowledge graph systematically integrates and displays the knowledge framework within the field of traditional Chinese medicine (TCM). This not only contributes to a deeper comprehension of traditional Chinese medical theories but also provides robust support for the intelligent decision systems and medical applications of TCM. Against this backdrop, this paper aims to systematically review the current status and development trends of TCM knowledge graphs, offering theoretical and technical foundations to facilitate the inheritance, innovation, and integrated development of TCM. Firstly, we introduce the relevant concepts and research status… More >

Rauany Cristina Lopes¹, Tamires Nossa², Wilton Rogério Lustri¹, Gabriel Lombardo^3,4,5, Maria Inés Errea^3,4, Eliane Trovatti^1,*

Journal of Renewable Materials, Vol.12, No.4, pp. 643-666, 2024, DOI:10.32604/jrm.2024.048957 - 12 June 2024

Abstract Polymers from renewable resources have been used for a long time in biomedical applications and found an irreplaceable role in some of them. Their uses have been increasing because of their attractive properties, contributing to the improvement of life quality, mainly in drug release systems and in regenerative medicine. Formulations using natural polymer, nano and microscale particles preparation, composites, blends and chemical modification strategies have been used to improve their properties for clinical application. Although many studies have been carried out with these natural polymers, the way to reach the market is long and only More >

Eman S. Attia¹, Ashraf A. M. Khalaf¹, Fathi E. Abd El-Samie², Saied M. Abd El-atty^2,*, Konstantinos A. Lizos^3,#, Osama Alfarraj⁴, Heba M. El-Hoseny⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1259-1275, 2024, DOI:10.32604/cmes.2023.028990 - 17 November 2023

Abstract Recently, nano-systems based on molecular communications via diffusion (MCvD) have been implemented in a variety of nanomedical applications, most notably in targeted drug delivery system (TDDS) scenarios. Furthermore, because the MCvD is unreliable and there exists molecular noise and inter symbol interference (ISI), cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells, especially if the separation distance between the nano transmitter and nano receiver is increased. In this work, we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme, while… More >

AFAF ALHARTHI^*

BIOCELL, Vol.47, No.8, pp. 1743-1755, 2023, DOI:10.32604/biocell.2023.027154 - 28 August 2023

Abstract Natural biomaterials are now frequently used to build biocarrier systems, which can carry medications and biomolecules to a target region and achieve a desired therapeutic effect. Biomaterials and polymers are of great importance in the synthesis of nanomaterials. The recent studies have tended to use these materials because they are easily obtained from natural sources such as fungi, algae, bacteria, and medicinal plants. They are also biodegradable, compatible with neighborhoods, and non-toxic. Natural biomaterials and polymers are chemically changed when they are linked by cross linking agents with other polymers to create scaffolds, matrices, composites, More >