Yuxin He^1,#, Yixin Li^2,#, Qiaoguang Li¹, Wenqing Xiao^1,*, Guijun Xie^2,*

Journal of Renewable Materials, Vol.13, No.4, pp. 699-718, 2025, DOI:10.32604/jrm.2025.058349 - 21 April 2025

Abstract Wood, recognized as a renewable and environmentally sustainable material, plays a crucial role as an alternative energy resource within the construction industry. However, it is highly susceptible to mold and decay fungi, which can lead to surface discoloration and potentially compromise the structural integrity of wood. The advancement of nanotechnology has introduced innovative strategies for wood protection, enhancing its performance while imparting additional properties. Various approaches including nanosized metals, polymer nanocomposite and coating treatments are actively being explored in this field. Furthermore, integrating bio-based materials with nanotechnology offers a green and sustainable method for wood More >

Yahya Tashtoush^1,*, Areen Banysalim¹, Majdi Maabreh², Shorouq Al-Eidi³, Ola Karajeh⁴, Plamen Zahariev⁵

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3113-3134, 2025, DOI:10.32604/cmc.2025.062724 - 16 April 2025

Abstract Social media has emerged as one of the most transformative developments on the internet, revolutionizing the way people communicate and interact. However, alongside its benefits, social media has also given rise to significant challenges, one of the most pressing being cyberbullying. This issue has become a major concern in modern society, particularly due to its profound negative impacts on the mental health and well-being of its victims. In the Arab world, where social media usage is exceptionally high, cyberbullying has become increasingly prevalent, necessitating urgent attention. Early detection of harmful online behavior is critical to… More >

Amjad A. Alsuwaylimi^1,*, Zaid S. Alenezi²

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3165-3185, 2025, DOI:10.32604/cmc.2025.061674 - 16 April 2025

Abstract Cyberbullying is a remarkable issue in the Arabic-speaking world, affecting children, organizations, and businesses. Various efforts have been made to combat this problem through proposed models using machine learning (ML) and deep learning (DL) approaches utilizing natural language processing (NLP) methods and by proposing relevant datasets. However, most of these endeavors focused predominantly on the English language, leaving a substantial gap in addressing Arabic cyberbullying. Given the complexities of the Arabic language, transfer learning techniques and transformers present a promising approach to enhance the detection and classification of abusive content by leveraging large and pretrained… More >

Mohammed Abdelmajeed^1,*, Jiangbin Zheng¹, Ahmed Murtadha¹, Youcef Nafa¹, Mohammed Abaker², Muhammad Pervez Akhter³

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3471-3491, 2025, DOI:10.32604/cmc.2025.059870 - 16 April 2025

Abstract Arabic Dialect Identification (DID) is a task in Natural Language Processing (NLP) that involves determining the dialect of a given piece of text in Arabic. The state-of-the-art solutions for DID are built on various deep neural networks that commonly learn the representation of sentences in response to a given dialect. Despite the effectiveness of these solutions, the performance heavily relies on the amount of labeled examples, which is labor-intensive to attain and may not be readily available in real-world scenarios. To alleviate the burden of labeling data, this paper introduces a novel solution that leverages… More >

Sarah M. Kamel^1,*, Mai A. Fadel², Lamiaa Elrefaei^1,3, Shimaa I. Hassan^1,4

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 373-411, 2025, DOI:10.32604/cmes.2025.062837 - 11 April 2025

Abstract Visual question answering (VQA) is a multimodal task, involving a deep understanding of the image scene and the question’s meaning and capturing the relevant correlations between both modalities to infer the appropriate answer. In this paper, we propose a VQA system intended to answer yes/no questions about real-world images, in Arabic. To support a robust VQA system, we work in two directions: (1) Using deep neural networks to semantically represent the given image and question in a fine-grained manner, namely ResNet-152 and Gated Recurrent Units (GRU). (2) Studying the role of the utilized multimodal bilinear… More >

Alexis Salazar-Navarro¹, Víctor Ruíz-Valdiviezo², José Joya-Dávila¹, Daniel González-Mendoza^1,*, Olivia Tzintzun-Camacho¹, Ulin Basilio-Cortes¹, Dagoberto Duran-Hernández¹, Henry López-Lopez¹, Onecimo Grimaldo-Juárez¹

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 641-655, 2025, DOI:10.32604/phyton.2025.062871 - 31 March 2025

Abstract The biochemical response of Coffea arabica var. Borbon to chitosan and chitosan oligosaccharides (COS) was evaluated in one-year-old plants under greenhouse conditions. COS solutions were synthesized through chemical and physical hydrolysis using acetic acid, hydrogen peroxide, and microwave irradiation. The obtained COS had an average molecular weight (Mw) of 3549.90 ± 0.33 Daltons (Da), a deacetylation degree (DD) of 76.64 ± 1.12%, and a polymerization degree (PD) of 18.91 ± 0.0018. Solutions of chitosan and COS were applied to C. arabica var. Borbon at concentrations of 0.25, 0.5, and 1 wt%. The experimental design was conducted using… More >

Ahmed Mahmoud Ismail^1,2,*, Khalid Alhudaib¹, Donato Magistà^3,4

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 679-693, 2025, DOI:10.32604/phyton.2025.062196 - 31 March 2025

Abstract Coffee wilt represents one of the most devastating diseases of Arabica coffee (Coffea arabica L.) plantations in the primary coffee-producing regions. In this study, coffee trees manifesting wilt symptoms accompanied by the defoliation and drying of the whole tree were observed in the Jazan, El Baha, Najran, and Asir regions. The purpose of this investigation was to isolate and identify the Fusarium species recovered from symptomatic coffee trees. The developed fungi were initially characterized based on their morphological features followed by molecular phylogenetic multi-locus analysis of the combined sequences of ITS, TEF1-α, RPB2, and CaM. Twenty-five isolates… More >

Yasser Alharbi¹, Sarwar Shah Khan^2,*

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1275-1290, 2025, DOI:10.32604/cmc.2025.061490 - 26 March 2025

Abstract Sentiment analysis plays an important role in distilling and clarifying content from movie reviews, aiding the audience in understanding universal views towards the movie. However, the abundance of reviews and the risk of encountering spoilers pose challenges for efficient sentiment analysis, particularly in Arabic content. This study proposed a Stochastic Gradient Descent (SGD) machine learning (ML) model tailored for sentiment analysis in Arabic and English movie reviews. SGD allows for flexible model complexity adjustments, which can adapt well to the Involvement of Arabic language data. This adaptability ensures that the model can capture the nuances… More >

Heni Radiani Arifin^1,*, Yoan Christina Angelica¹, Bambang Nurhadi¹, Herlina Marta¹, Rossy Choerun Nissa²

Journal of Renewable Materials, Vol.13, No.3, pp. 617-635, 2025, DOI:10.32604/jrm.2025.057812 - 20 March 2025

Abstract Bionanocomposite film is produced from renewable and biodegradable natural resources. Although elephant foot yam (EFY) starch (Amorphophallus paeoniifolius) is a promising polymer for bionanocomposite film, the native hydrophilic properties influence the overall performance characteristics. Incorporating virgin coconut oil (VCO) and monoglyceride as hydrophobic components can improve mechanical properties and reduce permeability while increasing the hydrophobicity of the composite. Therefore, this study aimed to determine the effect of adding VCO and monoglyceride on EFY starch-nanocrystalline film at 3 and 5 wt% concentrations. Experimental tests were conducted to evaluate the physical and mechanical properties, water vapor transmission rate… More > Graphic Abstract

Jiajun Xu^1,#, Zhuo Shi^2,#, Shanshan Shi^1,*, Xiangming Fan^2,*

Congenital Heart Disease, Vol.19, No.5, pp. 535-540, 2024, DOI:10.32604/chd.2024.057558 - 31 December 2024

Abstract Interrupted Aortic Arch (IAA) combined with aortic stenosis (AS) is a rare and complex congenital cardiac anomaly that presents significant challenges in clinical management. In this letter, we aim to share our experience in performing hybrid procedures on an infant diagnosed with IAA combined with bicuspid AS. This child exhibited significant recovery during follow-up. More >