Aisha Tanveer¹, Noraini Ibrahim¹, Muhammad Zubair Rehman^2,*, Abdullah Khan³, Nazri Mohd. Nawi¹

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.085167 - 13 August 2026

Abstract Metaheuristic optimization algorithms have gained wide adoption in engineering and scientific domains. However, many swarm-based methods struggle to balance exploration and exploitation, often converging prematurely on suboptimal solutions. The Sand Cat Swarm Optimization (SCSO) algorithm is one such method, with limited exploration ability constraining its performance on complex problem landscapes. This paper introduced the Enhanced Sand Cat with Selective Opposition (ESCSO) algorithm which combines opposition-based learning with a velocity mechanism to overcome this limitation. In ESCSO, under-performing candidates referred to as Sigma-variant cats are identified using Spearman correlation and replaced with their opposite solutions to More >

Hsiao-Chun Han¹, Der-Chen Huang^2,*, Chin-Ling Chen^3,*

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.084216 - 13 August 2026

Abstract Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced processes is strongly influenced by coupling among engineering systems, material behavior, and computational infrastructure. Consequently, the integration of deep learning (DL) and digital twins has become essential for driving the next-generation transformation of smart manufacturing. However, existing reviews predominantly organize literature through algorithm-oriented taxonomies, while isolated AI paradigms alone remain insufficient to effectively capture system-level interactions and industry-driven technological evolution. Therefore, this study proposes a system-oriented and industry-driven review framework, termed the System-under-Industry Guided… More >

Qizheng Liu, Cong Chen^*

Chalcogenide Letters, Vol.23, No.7, 2026, DOI:10.32604/cl.2026.087725 - 07 August 2026

Abstract The power conversion efficiency of perovskite solar cells has increased rapidly; however, interfacial-defect-induced non-radiative recombination, ion migration, and sensitivity to moisture, oxygen, and thermal stress continue to cause open-circuit voltage losses and a limited operational lifetime. Owing to its tunable energy levels, high carrier mobility, and compact hydrophobic layered structure, two-dimensional MoS₂ can serve as an electron or hole transport layer, an interfacial buffer layer, or an additive, enabling favorable energy-level alignment and optimized interfacial charge-transfer kinetics, thereby promoting carrier extraction and suppressing recombination. The sulfur sites of MoS₂ can coordinate with undercoordinated Pb²⁺ to form Pb–S… More > Graphic Abstract

Syadza Ghaidha Ramadhan¹, Nia Rossiana^1,*, Dedat Prismantoro², Thomas Argyarich Jefferson¹, Malvin Albert¹, Irvan Satria¹, Mia Miranti¹, Mehrdad Alizadeh³, Kumudini Belur Satyan⁴, Febri Doni^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.7, 2026, DOI:10.32604/phyton.2026.083440 - 30 July 2026

Abstract Rice (Oryza sativa L.) is central to global food security, yet its production systems remain highly vulnerable to environmental pressures. Climate change is increasing the frequency and severity of abiotic stresses, including drought, salinity, extreme temperatures, flooding, and heavy metal toxicity, which significantly reduce global rice productivity. Conventional strategies, including breeding and genetic engineering, have improved stress tolerance; however, their effectiveness is often constrained by long development timelines, complex genetic regulation, and limited performance under multiple concurrent stresses. In this context, plant-associated microorganisms have emerged as a sustainable and promising approach to enhancing rice plant resilience.… More >

Yun Liu¹, Jinghua Zhao¹, Liang Ma¹, Zijie Huang^2,3,*, Lizhi Cai^2,3, Jianxin Ge^2,3

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.084179 - 23 July 2026

Abstract Automated library migration reduces refactoring costs but challenges traditional evolutionary algorithms, which often suffer from premature convergence and poor recall in sparse, complex API mapping spaces. To address this, we propose QIMIG, a multi-objective optimization framework integrating quantum-inspired encoding with quality-aware and greedy heuristic filtering. QIMIG utilizes a probabilistic Q-bit representation to maintain population diversity and avoid local optima. Simultaneously, its heuristic components leverage historical usage context to filter semantic noise and guide the search toward valid mappings. Evaluated on 9 real-world migration rules derived from 57,447 open-source projects, QIMIG statistically significantly outperforms state-of-the-art baselines More >

Esam Bashir Yahya^*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.075913 - 30 June 2026

Abstract Biopolymer–microbe interactions have emerged as a central theme in the development of sustainable materials and next-generation therapeutic strategies. This work provides a critical and integrative analysis of recent advances in biopolymer-based systems designed to modulate microbial behavior, with particular emphasis on antimicrobial activity, biofilm regulation, and host–microbe compatibility. Unlike conventional reviews that primarily catalogue existing studies, this manuscript systematically evaluates the mechanistic foundations governing polymer–microbe interactions, highlighting how physicochemical properties such as surface chemistry, porosity, charge distribution, and biodegradability influence microbial adhesion, virulence, and resistance patterns. Recent experimental evidence demonstrates that rationally engineered biopolymers especially More >

Siamak Talatahari^*, Amin Beheshti

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.084097 - 30 June 2026

Abstract This article has no abstract. More >

Guowu Li¹, Xiaopeng Huang², Tao Zhu¹, Yi Zheng¹, Peyman Aela^3,*

Structural Durability & Health Monitoring, Vol.20, No.4, 2026, DOI:10.32604/sdhm.2026.078679 - 30 June 2026

Abstract Basalt fiber (BF), derived from abundant volcanic rock in China, represents a sustainable reinforcement material for pavement engineering, addressing challenges like durability, corrosion, and environmental impact. This comprehensive review synthesizes BF’s properties, including high tensile strength (3000–4800 MPa), thermal stability (−269°C to 700°C), and superior chemical resistance compared to steel or polypropylene fibers. Production involves melting basalt at 1450°C–1500°C, with China leading in resources and standards like JT/T776.1-2010. Applications in asphalt concrete enhance rutting resistance by 30%–50% and fatigue life by 20%–40%, while in cement concrete, BF improves crack resistance and impermeability by 30%–55%. BF More >

Nicola Fazaa^1,#, Kamil Malshy^2,#,*, Yuval Shafran¹, Ameer Nsair¹, Etan Eigner¹, Melissa Atallah¹, Shadie Badaan¹, Kirolos Meilika², Ariel Zisman¹

Canadian Journal of Urology, Vol.33, No.3, pp. 515-526, 2026, DOI:10.32604/cju.2026.076687 - 29 June 2026

Abstract Urethral stricture disease remains a challenging clinical entity within contemporary urology, requiring interventions that achieve sustained urethral patency while preserving functional outcomes. Established modalities such as urethral dilation, endoscopic urethrotomy, and urethroplasty using autologous grafts provide effective treatment for many patients. However, they are constrained by morbidity, graft contraction, and suboptimal success in complex or recurrent strictures. These inherent limitations have stimulated growing investigation of therapeutic strategies. Among device-based innovations, drug-coated balloon dilation, exemplified by the Optilume™, combines mechanical expansion with localized antiproliferative drug delivery and represents a significant evolution in endoscopic management. Pharmacologic adjuncts… More >

Mi Rim Kim^1,#, Jason Lau^1,#, Michele Maffezzoli^2,#,*, Giuseppe Luigi Banna¹

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.078000 - 16 June 2026

Abstract Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal target selection, heterogeneous drug–antibody ratios, and linker instability, resulting in modest efficacy and relevant toxicities. We performed a narrative review based on a literature search of PubMed and major oncology congresses up to October 2025, with the aim to critically analyzing the evolving biomarker landscape and engineering strategies shaping next-generation ADC development in NSCLC. Emerging approaches to identify targets for ADCs and refine patient selection include digital pathology with artificial intelligence technologies, transcriptomic and proteomic… More >