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  • Open Access

    ARTICLE

    Enhancing Rice Straw Fibers for Pulp Films Using DES and Streptomyces rochei Synergy

    Cheng Yong1,2,3,4,5, Enhui Sun1,*, Xiaodong Fan1,4, Zhiping Zhang5, Jing Zhang1, Ling Chen1, Ping Qu1, Qiujun Wang1, Hongying Huang1, Hongmei Jin1, Mingjie Guan4,*

    Journal of Renewable Materials, Vol.13, No.9, pp. 1803-1817, 2025, DOI:10.32604/jrm.2025.02025-0059 - 22 September 2025

    Abstract Long-time fermentation has always been one of the reasons restricting the development of straw biological pulping. This study aimed to develop a novel straw pulp film with shortened solid-state fermentation time with less than 20% mass loss rate by bio-pulping synergistic treatment of straw fibers with deep eutectic solvent (DES) and Streptomyces rochei (S. rochei). Results illustrated that at 3% S. rochei concentration with 7-day fermentation, both cellulose and hemicellulose enzyme activities of the treated rice straw fiber reached peak values with a fiber mass loss rate of 17.01%. Microstructural morphology revealed that S. rochei colonization initiated on straw… More > Graphic Abstract

    Enhancing Rice Straw Fibers for Pulp Films Using DES and <i>Streptomyces rochei</i> Synergy

  • Open Access

    ARTICLE

    High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete

    Ala’a R. Al-Shamasneh1, Faten Khalid Karim2, Arsalan Mahmoodzadeh3,*, Abdulaziz Alghamdi4, Abdullah Alqahtani5, Shtwai Alsubai5, Abed Alanazi5

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1573-1606, 2025, DOI:10.32604/cmes.2025.068887 - 31 August 2025

    Abstract The fracture energy of fiber-reinforced concrete (FRC) affects the durability and structural performance of concrete elements. Advancements in experimental studies have yet to overcome the challenges of estimating fracture energy, as the process remains time-intensive and costly. Therefore, machine learning techniques have emerged as powerful alternatives. This study aims to investigate the performance of machine learning techniques to predict the fracture energy of FRC. For this purpose, 500 data points, including 8 input parameters that affect the fracture energy of FRC, are collected from three-point bending tests and employed to train and evaluate the machine… More >

  • Open Access

    ARTICLE

    Developing Hybrid XGBoost Model to Predict the Strength of Polypropylene and Straw Fibers Reinforced Cemented Paste Backfill and Interpretability Insights

    Yingui Qiu1, Enming Li1,2,*, Pablo Segarra2, Bin Xi3, Jian Zhou1

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1607-1629, 2025, DOI:10.32604/cmes.2025.068211 - 31 August 2025

    Abstract With the growing demand for sustainable development in the mining industry, cemented paste backfill (CPB) materials, primarily composed of tailings, play a crucial role in mine backfilling and underground support systems. To enhance the mechanical properties of CPB materials, fiber reinforcement technology has gradually gained attention, though challenges remain in predicting its performance. This study develops a hybrid model based on the adaptive equilibrium optimizer (adap-EO)-enhanced XGBoost method for accurately predicting the uniaxial compressive strength of fiber-reinforced CPB. Through systematic comparison with various other machine learning methods, results demonstrate that the proposed hybrid model exhibits… More >

  • Open Access

    ARTICLE

    Anomaly Diagnosis Using Machine Learning Method in Fiber Fault Diagnosis

    Xiaoping Yang1,2,3, Jinku Qiu2,3,4, Xifa Gong5, Jin Ye5, Fei Yao5,*, Jiaqiao Chen6, Xianzan Luo6, Da Qin6

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 1515-1539, 2025, DOI:10.32604/cmc.2025.067518 - 29 August 2025

    Abstract In contemporary society, rapid and accurate optical cable fault detection is of paramount importance for ensuring the stability and reliability of optical networks. The emergence of novel faults in optical networks has introduced new challenges, significantly compromising their normal operation. Machine learning has emerged as a highly promising approach. Consequently, it is imperative to develop an automated and reliable algorithm that utilizes telemetry data acquired from Optical Time-Domain Reflectometers (OTDR) to enable real-time fault detection and diagnosis in optical fibers. In this paper, we introduce a multi-scale Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN-BiLSTM) deep… More >

  • Open Access

    REVIEW

    Plant-Based Cellulose Nanopapers with Applications for Packaging, Protective Films and Energy Devices

    Verónica L. Mucci, Mirta I. Aranguren*

    Journal of Renewable Materials, Vol.13, No.8, pp. 1491-1519, 2025, DOI:10.32604/jrm.2025.02024-0079 - 22 August 2025

    Abstract Interest in the use of cellulose nanomaterial’s continues to grow, both in research and industry, not only due to the abundance of raw materials, low toxicity and sustainability, but also due to the attractive physical and chemical properties that make nanocelluloses useful for a wide range of end-use applications. Among the large number of potential uses, and nanocelluloses modification and processing strategies, the chosen topic of this review focuses exclusively on plant-derived cellulose microfibers/nanofibers (CNF) and cellulose nanocrystals (CNC) processed into 2D structures—nanopapers and nanofilms—fabricated as self-standing films or applied as coatings. The end uses… More > Graphic Abstract

    Plant-Based Cellulose Nanopapers with Applications for Packaging, Protective Films and Energy Devices

  • Open Access

    REVIEW

    Sustainable Biocomposites from Renewable Resources in West Africa: A Review

    Souha Mansour1,2,*, Amandine Viretto1,2, Marie-France Thevenon1,2,*, Loïc Brancheriau1,2

    Journal of Renewable Materials, Vol.13, No.8, pp. 1547-1586, 2025, DOI:10.32604/jrm.2025.02024-0078 - 22 August 2025

    Abstract The use of agricultural residues in biocomposite production has gained increasing attention, driven by several benefits. Converting agricultural by-products into bio-based materials within a circular economy represents a sustainable strategy to mitigate lignocellulosic waste, reduce reliance on fossil resources, and lower environmental pollution. This approach also creates economic opportunities for rural African communities by generating diverse income sources for workers in collection, processing, and manufacturing. As a result, the integration of agricultural residues into biocomposites production not only addresses environmental concerns but also fosters economic growth and supports rural development. In this review, five biomasses… More > Graphic Abstract

    Sustainable Biocomposites from Renewable Resources in West Africa: A Review

  • Open Access

    REVIEW

    Integration of Biopolyesters and Natural Fibers in Structural Composites: An Innovative Approach for Sustainable Materials

    Nasmi Herlina Sari1,*, Suteja1, Widya Fatriasari2

    Journal of Renewable Materials, Vol.13, No.8, pp. 1521-1546, 2025, DOI:10.32604/jrm.2025.02024-0058 - 22 August 2025

    Abstract Composites made from biopolymers and natural fibers are gaining popularity as alternative sustainable structural materials. Biopolyesters including polylactic acid (PLA), polybutylene succinate (PBS), and polyhydroxyalkanoate (PHA), when mixed with natural fibers such as kenaf, hemp, and jute, provide an environmentally acceptable alternative to traditional fossil-based materials. This article examines current research on developments in the integration of biopolymers with natural fibers, with a focus on enhancing mechanical, thermal, and sustainability. Innovative approaches to surface treatment of natural fibers, such as biological and chemical treatments, have demonstrated enhanced adhesion with biopolymer matrices, increasing attributes such as… More > Graphic Abstract

    Integration of Biopolyesters and Natural Fibers in Structural Composites: An Innovative Approach for Sustainable Materials

  • Open Access

    REVIEW

    A Comprehensive Review on Bridging the Research Gap in AI-Driven Material Simulation for FRP Composites

    Alin Diniță1, Cosmina-Mihaela Rosca2, Maria Tănase1,*, Adrian Stancu3

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 147-199, 2025, DOI:10.32604/cmes.2025.066276 - 31 July 2025

    Abstract Fiber-reinforced polymer (FRP) composites are renowned for their high mechanical strength, durability, and lightweight properties, making them integral to civil engineering, aerospace, and automotive manufacturing. Traditionally, the simulation and optimization of FRP materials have relied on finite element (FE) methods, which, while effective, often fall short in capturing the intricate behaviors of these composites under diverse conditions. Concrete examples in this regard involve modeling interfacial cracks, delaminations, or environmental effects that involve nonlinear phenomena. These degradation mechanisms exceed the capacity of classical FE models, as they are not detailed to the required level of detail.… More > Graphic Abstract

    A Comprehensive Review on Bridging the Research Gap in AI-Driven Material Simulation for FRP Composites

  • Open Access

    ARTICLE

    Eco-Friendly Particleboards Produced with Banana Tree (Musa paradisiaca) Pseudostem Fibers Bonded with Cassava Starch and Urea-Formaldehyde Adhesives

    Prosper Mensah1, Rafael Rodolfo de Melo2, Edgley Alves de Oliveira Paula2, Alexandre Santos Pimenta3, Juliana de Moura2, Fernando Rusch2,*

    Journal of Renewable Materials, Vol.13, No.7, pp. 1475-1489, 2025, DOI:10.32604/jrm.2025.02025-0047 - 22 July 2025

    Abstract The increase in wood and wood-based products in the construction and furniture sectors has grown exponentially, generating severe environmental and socioeconomic impacts. Particleboard panels have been the main cost-benefit option on the market due to their lightness and lower cost compared to solid wood. However, the synthetic adhesives used in producing traditional particleboard panels cause serious harm to human health. Developing particleboard panels with fibrous waste and natural adhesives could be a sustainable alternative for these sectors. The work aimed to create particleboards with fibrous wastes from the pseudostem of the banana tree (Musa paradisiaca) and… More > Graphic Abstract

    Eco-Friendly Particleboards Produced with Banana Tree (<i>Musa paradisiaca</i>) Pseudostem Fibers Bonded with Cassava Starch and Urea-Formaldehyde Adhesives

  • Open Access

    REVIEW

    Nanocellulose: A Comprehensive Review of Sustainable Applications and Innovations

    Arun Kumar1, Revanasiddappa Moolemane1, Thulasi Rajendran2, Suresh Babu Naidu Krishna3,4,*

    Journal of Renewable Materials, Vol.13, No.7, pp. 1315-1346, 2025, DOI:10.32604/jrm.2025.02024-0050 - 22 July 2025

    Abstract In the past two decades, nanocellulose has become an innovative material with unique properties. This substance has exceptional mechanical strength, an extensive surface area, and biodegradability. Collaborative integration of nanocellulose offers a more environmentally friendly solution to the current limitations by substituting carbon. Due to its versatility, nanocellulose is commonly employed in various industrial sectors, including paints, adhesives, paper production, and biodegradable polymers. Such versatility enables the creation of customized structures for potential use in emulsion and dispersion applications. Given its biocompatibility and nontoxicity, nanocellulose is particularly well-suited for biomedical purposes such as tissue engineering, More > Graphic Abstract

    Nanocellulose: A Comprehensive Review of Sustainable Applications and Innovations

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