Linhui Wang^1,2, Mohd Khair Hassan^1,*, Ghulam E Mustafa Abro^3,*, Mehrullah Soomro¹, Hifza Mustafa⁴

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.074207 - 09 April 2026

Abstract Industrial intelligent systems increasingly require efficient, robust, and deployable optimization methods for resource-constrained hardware. The Sparrow Search Algorithm (SSA) has gained traction in machine learning optimization; however, existing reviews emphasize algorithmic variants and generic benchmarks while paying limited attention to industrial requirements such as real-time operation, noise tolerance, and hardware awareness. This review advances the field by developing an industrial taxonomy that aligns SSA and its hybrids with six application clusters—fault diagnosis, production scheduling, edge-intelligent control, renewable/microgrid optimization, battery prognostics, and industrial cybersecurity—characterizing task types, data regimes, latency and safety constraints, and typical failure modes;… More >

Li Wang^1,2, Jinfeng Zhang², Binbin Li², Zhengbo Pen³, Zhiyuan Yang^3,*, Anshu Rastogi^4,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.075709 - 28 February 2026

Abstract Chilo suppressalis (Walker) is one of the most important rice pests worldwide, posing a significant challenge to effective control. To develop a precision-timed, eco-friendly management strategy, overwintering population investigation and dynamic monitoring of C. suppressalis populations were conducted in the Meishan region of Sichuan, China, from 2023 to 2024. The optimal timing for insecticide application was estimated, followed by field trials evaluating the efficacy of different insecticides. Results demonstrated that the peak emergence of first-generation adults typically occurred in early July (under the environmental conditions of the Meishan region), with the ambient humidity below 75% and temperature… More >

Abdullah Esmeray, Huseyin Burak Yazili^*, Mucahit Gelmis, Nazim Furkan Gunay, Caglar Dizdaroglu, Faruk Ozgor, Yasar Pazir, Ufuk Caglar

Canadian Journal of Urology, Vol.33, No.1, pp. 165-171, 2026, DOI:10.32604/cju.2025.069657 - 28 February 2026

Abstract Objectives: Supracostal access during percutaneous nephrolithotomy (PCNL) increases the risk of pulmonary complications. Although routine postoperative thoracic imaging is commonly performed to detect these events, its clinical necessity remains controversial. This study aimed to assess the necessity of routine postoperative thoracic imaging for detecting pulmonary complications in patients undergoing supracostal mini percutaneous nephrolithotomy (m-PCNL) surgery. Methods: A retrospective analysis was conducted on data from patients who underwent supracostal m-PCNL between 2017 and 2022 in a tertiary center. Excluding patients under 18, with kidney/skeletal anomalies, or active thoracic disease, 112 eligible patients were included. Patients were… More >

Claudia M. L. Bevilaqua^1,*, José Vilemar de Araújo-Filho², Livia F. Ximenes¹, Henety N. Pinheiro¹, Flávia O. M. da Silva Abreu³, Débora S. C. M. Castelo Branco⁴, Ana Carolina F. L. Melo⁴, Weibson P. P. André¹, Wesley L. C. Ribeiro⁵, Lorena M. B. de Oliveira¹

Journal of Renewable Materials, Vol.14, No.2, 2026, DOI:10.32604/jrm.2025.02025-0138 - 25 February 2026

Abstract Eucalyptus staigeriana essential oil (EsEO) has well-known anthelmintic activity in small ruminants. However, its volatility limits its therapeutic action. The aim of this study was to develop a water-in-oil sodium alginate-based nanoemulsion with an effective in vitro effect on the eggs and larvae of Haemonchus contortus, a gastrointestinal parasite of sheep and goats. Four oil-in-water sodium alginate-based emulsions were prepared using a high-energy method with different proportions of Tween 80, EsEO, and sodium alginate (ALG) 4%. The physical-chemical characterization included stability, particle size, zeta potential and infrared spectra. The effects of the emulsions were evaluated against H. contortus via… More > Graphic Abstract

Fitra Yurid^1,2, Nadiatus Silmi³, Heni Rachmawati^4,5, Nanda Nagara², Riyanti Ekafitri⁶, Athanasia Amanda Septevani^2,7,*

Journal of Renewable Materials, Vol.14, No.2, 2026, DOI:10.32604/jrm.2025.02025-0118 - 25 February 2026

Abstract This study investigates the potential of starch extracted from underutilized agro-industrial resources as non-food-competing raw materials for the development of flexible bioplastics for food packaging applications. Starch was extracted from three biomass sources: rubber cassava (Manihot glaziovii), banana stem, and banana peel from Ambonese banana (Musa acuminata L.). Rubber cassava starch (S_RC) exhibited the highest starch yield (50.68 ± 0.28%), significantly surpassing banana stem (S_BS, 14.20 ± 0.25%) and banana peel (S_BP, 3.07 ± 0.15%). The amylose contents of S_RC, S_BS, and S_BP were 28.18%, 52.80%, and 56.57%, respectively, while their amylopectin contents were 71.83%, 47.20%, and 43.43%. FTIR spectra… More > Graphic Abstract

Lishu Qin^*, Yu Gao, Xinyuan Lu

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.074739 - 10 February 2026

Abstract With the rapid development of intelligent navigation technology, efficient and safe path planning for mobile robots has become a core requirement. To address the challenges of complex dynamic environments, this paper proposes an intelligent path planning framework based on grid map modeling. First, an improved Safe and Smooth A* (SSA*) algorithm is employed for global path planning. By incorporating obstacle expansion and corner-point optimization, the proposed SSA* enhances the safety and smoothness of the planned path. Then, a Partitioned Dynamic Window Approach (PDWA) is integrated for local planning, which is triggered when dynamic or sudden… More >

Olha Mykhailenko^1,2,3,#,*, Zigmantas Gudžinskas⁴, Liudas Ivanauskas⁵, Victoriya Georgiyants¹, Chia-Hung Yen^6,7,8, Chung-Fan Hsieh⁹, Riong Seulina Panjaitan⁶, Tsong-Long Hwang^10,11,12,13, Bing-Hung Chen^14,15, Michal Korinek^6,7,8,#,*

Phyton-International Journal of Experimental Botany, Vol.95, No.1, 2026, DOI:10.32604/phyton.2026.074209 - 30 January 2026

Abstract The sustainable sourcing of novel bioactive compounds from natural sources is crucial to the success of the pharmaceutical, food, and cosmetics industries. Iris bucharica Foster (syn. Juno bucharica (Foster) Vved.) is a promising source of novel bioactive molecules, particularly phenolic compounds, which are renowned for their antioxidant properties. In this study, we developed a reliable HPLC-UV-DAD method to identify and quantify phenolic compounds in the leaves and bulbs of I. bucharica, establishing the first set of quality control markers for this species. A total of 21 phenolic compounds were identified in the leaves, with flavonoids isoorientin, guaijaverin, hyperoside, More >

Muhammad Farman^1,2,3,*, Muhammad Hashir Zubair⁴, Hua Li⁴, Kottakkaran Sooppy Nisar^5,6, Mohamad Hafez^7,8

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074160 - 29 January 2026

Abstract Lassa Fever (LF) is a viral hemorrhagic illness transmitted via rodents and is endemic in West Africa, causing thousands of deaths annually. This study develops a dynamic model of Lassa virus transmission, capturing the progression of the disease through susceptible, exposed, infected, and recovered populations. The focus is on simulating this model using the fractional Caputo derivative, allowing both qualitative and quantitative analyses of boundedness, positivity, and solution uniqueness. Fixed-point theory and Lipschitz conditions are employed to confirm the existence and uniqueness of solutions, while Lyapunov functions establish the global stability of both disease-free and… More >

Yuyao Huang, Hui Shu, Fei Kang^*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071552 - 12 January 2026

Abstract Message structure reconstruction is a critical task in protocol reverse engineering, aiming to recover protocol field structures without access to source code. It enables important applications in network security, including malware analysis and protocol fuzzing. However, existing methods suffer from inaccurate field boundary delineation and lack hierarchical relationship recovery, resulting in imprecise and incomplete reconstructions. In this paper, we propose ProRE, a novel method for reconstructing protocol field structures based on program execution slice embedding. ProRE extracts code slices from protocol parsing at runtime, converts them into embedding vectors using a data flow-sensitive assembly language model, More >

Kirubavathi Ganapathiyappan^1,*, Kiruba Marimuthu Eswaramoorthy¹, Abi Thangamuthu Shanthamani¹, Aksaya Venugopal¹, Asita Pon Bhavya Iyyappan¹, Thilaga Manickam¹, Ateeq Ur Rehman^2,*, Habib Hamam^3,4,5,6

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-31, 2026, DOI:10.32604/cmc.2025.070067 - 09 December 2025

Abstract The growing use of Portable Document Format (PDF) files across various sectors such as education, government, and business has inadvertently turned them into a major target for cyberattacks. Cybercriminals take advantage of the inherent flexibility and layered structure of PDFs to inject malicious content, often employing advanced obfuscation techniques to evade detection by traditional signature-based security systems. These conventional methods are no longer adequate, especially against sophisticated threats like zero-day exploits and polymorphic malware. In response to these challenges, this study introduces a machine learning-based detection framework specifically designed to combat such threats. Central to… More >