Yuntian Wang^1,2, Taohua Liang^1,2, Yuan Zhou^1,2, Weimei Shi^1,2, Lijuan Huang^1,2, Yuzhu Guo^3,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-26, 2026, DOI:10.32604/cmc.2025.071624 - 09 December 2025

Abstract This investigation utilizes non-equilibrium molecular dynamics (NEMD) simulations to explore shock-induced spallation in single-crystal tantalum across shock velocities of 0.75–4 km/s and initial temperatures from 300 to 2000 K. Two spallation modes emerge: classical spallation for shock velocity below 1.5 km/s, with solid-state reversible Body-Centered Cubic (BCC) to Face-Centered Cubic (FCC) or Hexagonal Close-Packed (HCP) phase transformations and discrete void nucleation-coalescence; micro-spallation for shock velocity above 3.0 km/s, featuring complete shock-induced melting and fragmentation, with a transitional regime (2.0–2.5 km/s) of partial melting. Spall strength decreases monotonically with temperature due to thermal softening. Elevated temperatures More >

Siwen Xu¹, Hanning Chen², Rui Ni¹, Maowei He², Zhaodi Ge³, Xiaodan Liang^2,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-25, 2026, DOI:10.32604/cmc.2025.071398 - 09 December 2025

Abstract Selective Laser Melting (SLM), an advanced metal additive manufacturing technology, offers high precision and personalized customization advantages. However, selecting reasonable SLM parameters is challenging due to complex relationships. This study proposes a method for identifying the optimal process window by combining the simulation model with an optimization algorithm. JAYA is guided by the principle of preferential behavior towards best solutions and avoidance of worst ones, but it is prone to premature convergence thus leading to insufficient global search. To overcome limitations, this research proposes a Differential Evolution-framed JAYA algorithm (DEJAYA). DEJAYA incorporates four key enhancements More >

Malvinder Singh Bali¹, Weiwei Jiang^2,*, Saurav Verma³, Kanwalpreet Kour⁴, Ashwini Rao³

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.070866 - 09 December 2025

Abstract In recent years, Blockchain Technology has become a paradigm shift, providing Transparent, Secure, and Decentralized platforms for diverse applications, ranging from Cryptocurrency to supply chain management. Nevertheless, the optimization of blockchain networks remains a critical challenge due to persistent issues such as latency, scalability, and energy consumption. This study proposes an innovative approach to Blockchain network optimization, drawing inspiration from principles of biological evolution and natural selection through evolutionary algorithms. Specifically, we explore the application of genetic algorithms, particle swarm optimization, and related evolutionary techniques to enhance the performance of blockchain networks. The proposed methodologies More >

Muhammad Waqar Khan^1,*, Adnan Ahmed Siddiqui¹, Syed Sajjad Hussain Rizvi²

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-15, 2026, DOI:10.32604/cmc.2025.070858 - 09 December 2025

Abstract The multi-objective optimization problems, especially in constrained environments such as power distribution planning, demand robust strategies for discovering effective solutions. This work presents the improved variant of the Multi-population Cooperative Constrained Multi-Objective Optimization (MCCMO) Algorithm, termed Adaptive Diversity Preservation (ADP). This enhancement is primarily focused on the improvement of constraint handling strategies, local search integration, hybrid selection approaches, and adaptive parameter control. The improved variant was experimented on with the RWMOP50 power distribution system planning benchmark. As per the findings, the improved variant outperformed the original MCCMO across the eleven performance metrics, particularly in terms… More >

Asal Jameel Khudhair^#, Amenah Dahim Abbood^#,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-31, 2026, DOI:10.32604/cmc.2025.068553 - 10 November 2025

Abstract Community detection is one of the most fundamental applications in understanding the structure of complicated networks. Furthermore, it is an important approach to identifying closely linked clusters of nodes that may represent underlying patterns and relationships. Networking structures are highly sensitive in social networks, requiring advanced techniques to accurately identify the structure of these communities. Most conventional algorithms for detecting communities perform inadequately with complicated networks. In addition, they miss out on accurately identifying clusters. Since single-objective optimization cannot always generate accurate and comprehensive results, as multi-objective optimization can. Therefore, we utilized two objective functions… More >

Mustansar Mubeen¹, Yasir Iftikhar^1,*, Ganesan Vadamalai^2,3, Muhammad Aasim⁴, Muhammad Faiq⁵, Uthman Balgith Algopishi⁶, Ahmed Ezzat Ahmed^6,7

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3827-3843, 2025, DOI:10.32604/phyton.2025.071555 - 29 December 2025

Abstract Citrus viroids are small non-coding RNA pathogens that pose a significant threat to global citrus production by reducing fruit yield, quality, and tree longevity. Several viroids, including Citrus exocortis viroid (CEVd), Hop stunt viroid (HSVd), Citrus bent leaf viroid (CBLVd), and newly identified members such as Citrus Viroid VI (CVd-VI) and Citrus Viroid VII (CVd-VII) have been reported from diverse citrus-growing regions. These pathogens are transmitted mainly through vegetative propagation, contaminated tools, and occasionally via seed or pollen, making their management complex. This review synthesizes current knowledge on the biology, structural diversity, transmission, symptomatology, detection,… More >

Md. Injamum-Ul-Hoque^1,2, Md. Mahfuzur Rahman², Nayan Chandra Howlader³, Soosan Tavakoli⁴, Md. Mezanur Rahman⁵, Shahin Imran⁶, Mallesham Bulle⁷, S. M. Ahsan^2,4,*, Hyong Woo Choi^4,8,*

Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3805-3826, 2025, DOI:10.32604/phyton.2025.069827 - 29 December 2025

Abstract Cannabis sativa is highly valued for its use in fiber production, medicine, and recreational products. Its secondary metabolites (SM) are renowned for their wide range of health benefits and psychoactive properties. While much of the existing research has focused on cannabinoid production in the plant’s aerial parts, particularly the leaves and flowers, the root system remains understudied in terms of its SM profile. One promising in vitro approach for metabolite production involves the use of ‘hairy roots (HRs)’. These roots mimic the phytochemical profile of native roots but grow more efficiently and yield higher quantities of metabolites.… More >

Ankith P. Maremanda^*, Anna Faris, Benjamin N. Breyer

Canadian Journal of Urology, Vol.32, No.6, pp. 545-550, 2025, DOI:10.32604/cju.2025.064433 - 30 December 2025

Abstract We describe the history of Patient-Reported Outcome Measures (PROMs) in medicine, with a focus on the development and use of the International Index of Erectile Function (IIEF) in urologic practice. PROMs emerged in the 1970s with tools like the Sickness Impact Profile, designed to capture patients’ perspectives on how disease affects daily life. In the 1990s, PROMs entered urology with the creation of the International Prostate Symptom Score (IPSS) and the IIEF, developed in 1992 and 1997, respectively. As organizations such as the National Institutes of Health began prioritizing PROMs for evaluating sexual function, the More >

Siwei Zhang, Xiaozhou Xia^*, Xin Gu, Meilin Zong, Qing Zhang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3243-3278, 2025, DOI:10.32604/cmes.2025.073841 - 23 December 2025

Abstract This study presents a coupled thermo-hydro-mechanical-fatigue (THM-F) model, developed based on variational phase-field fatigue theory, to simulate the freeze-thaw (F-T) damage process in concrete. The fracture phase-field model incorporates the F-T fatigue mechanism driven by energy dissipation during the free energy growth stage. Using microscopic inclusion theory, we derive an evolution model of pore size distribution (PSD) for concrete under F-T cycles by treating pore water as columnar inclusions. Drawing upon pore ice crystal theory, calculation models that account for concrete PSD characteristics are established to determine ice saturation, permeability coefficient, and pore pressure. To… More >

C. M. Fu^a, M. Z. Ge^b, X. Q. Zhang^c, W. Yan^c,*

Chalcogenide Letters, Vol.22, No.8, pp. 665-677, 2025, DOI:10.15251/CL.2025.228.665

Abstract Constructing heterojunctions represents a crucial strategy for enhancing semiconductor photocatalysts. In this study, the C-MoO₂/Cd_0.9Zn_0.1S S-scheme heterojunction composite was successfully fabricated through a self-assembly approach. XPS analysis confirmed the spontaneous transfer of intrinsic electrons from Cd_0.9Zn_0.1S to C-MoO₂ in the dark, establishing an internal electric field at the C-MoO2/Cd_0.9Zn_0.1S interface. Under visible light irradiation, the C-MoO₂/Cd_0.9Zn_0.1S composite exhibited significantly enhanced hydrogen evolution activity, achieving a 6.3-fold improvement compared to pristine Cd_0.9Zn_0.1S. PL, TRPL, and electrochemical measurements collectively demonstrated that the incorporation of C-MoO₂ effectively suppressed the recombination of photogenerated electrons in Cd_0.9Zn_0.1S. The outstanding photocatalytic performance and improved charge More >