Xianrui Lyu, Xiaodan Ren^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074388 - 29 January 2026

Abstract Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs) for material optimization has emerged as a significant advancement in the field of material inverse design. However, VAEs are inherently prone to generating blurred images, posing challenges for precise inverse design and microstructure manufacturing. While increasing the dimensionality of the VAE latent space can mitigate reconstruction blurriness to some extent, it simultaneously imposes a substantial burden on target optimization due to an excessively high search space. To address these limitations, this study adopts a Variational… More >

Jinfeng Ji¹, Geunseok Yang^2,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071733 - 12 January 2026

Abstract Automated Program Repair (APR) techniques have shown significant potential in mitigating the cost and complexity associated with debugging by automatically generating corrective patches for software defects. Despite considerable progress in APR methodologies, existing approaches frequently lack contextual awareness of runtime behaviors and structural intricacies inherent in buggy source code. In this paper, we propose a novel APR approach that integrates attention mechanisms within an autoencoder-based framework, explicitly utilizing structural code affinity and execution context correlation derived from stack trace analysis. Our approach begins with an innovative preprocessing pipeline, where code segments and stack traces are… More >

Thierry Mugenzi, Cahit Perkgoz^*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-21, 2026, DOI:10.32604/cmc.2025.070381 - 10 November 2025

Abstract Missing data presents a crucial challenge in data analysis, especially in high-dimensional datasets, where missing data often leads to biased conclusions and degraded model performance. In this study, we present a novel autoencoder-based imputation framework that integrates a composite loss function to enhance robustness and precision. The proposed loss combines (i) a guided, masked mean squared error focusing on missing entries; (ii) a noise-aware regularization term to improve resilience against data corruption; and (iii) a variance penalty to encourage expressive yet stable reconstructions. We evaluate the proposed model across four missingness mechanisms, such as Missing… More >

Bo Zhu^1,#, Enzhi Dong^1,#, Zhonghua Cheng^1,*, Xianbiao Zhan², Kexin Jiang¹, Rongcai Wang ³

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-26, 2026, DOI:10.32604/cmc.2025.069194 - 10 November 2025

Abstract With the increasing complexity of industrial automation, planetary gearboxes play a vital role in large-scale equipment transmission systems, directly impacting operational efficiency and safety. Traditional maintenance strategies often struggle to accurately predict the degradation process of equipment, leading to excessive maintenance costs or potential failure risks. However, existing prediction methods based on statistical models are difficult to adapt to nonlinear degradation processes. To address these challenges, this study proposes a novel condition-based maintenance framework for planetary gearboxes. A comprehensive full-lifecycle degradation experiment was conducted to collect raw vibration signals, which were then processed using a… More >

M. Tariq^1,2,*, R. Ahmed^1,2, S. A. Tahir¹, B. U. Haq³, F. K. Butt⁴, M. W. Majeed¹, A. Hussain¹

Chalcogenide Letters, Vol.22, No.12, pp. 1067-1079, 2025, DOI:10.15251/CL.2025.2212.1067 - 11 December 2025

Abstract The two-dimensional IV-monochalcogenides, such as lead sulfide (PbS), lead selenide (PbSe), and lead telluride (PbTe), represent a promising class of materials known for their remarkable optoelectronic properties. The calculated binding energies for the puckered phase were –4.25 eV for PbS, –4.20 eV for PbSe, and –3.02 eV for PbTe, indicating strong stability in PbS and PbSe compared to PbTe. The electronic analysis showed that PbS exhibited a band gap of 1.01 eV, while PbSe had a slightly lower band gap of 0.70 eV. Under applied pressure, both materials demonstrated an increase in band gap, rising More >

Naeemah A. Aswad, Ayed N. Saleh^*

Chalcogenide Letters, Vol.22, No.12, pp. 1019-1029, 2025, DOI:10.15251/CL.2025.2212.1019 - 06 December 2025

Abstract The SCAPS-1D software was used to simulate a p–CuI/n–InSe photodetector at 300 K with AM1.5G light. The simulation results showed that, with a quantum efficiency of 97.6% at 800 nm and a responsivity of 0.67 A/W, the ideal absorber layer thickness of 0.8 µm produced the highest overall performance. The specific detectivity was enhanced to 2.5 × 10¹⁵ cm·Hz^1/2 ·W⁻³ and the dark current was decreased by increasing the InSe carrier concentration from 1 × 10¹⁵ cm⁻³ to 3 × 10¹⁵ cm⁻³ . These findings show that the CuI/InSe heterojunction’s broadband response, strong responsivity, and low dark current make More >

Chunyong Yin, Williams Kyei^*

Journal of Cyber Security, Vol.7, pp. 615-635, 2025, DOI:10.32604/jcs.2025.072740 - 24 December 2025

Abstract The evolving sophistication of network threats demands anomaly detection methods that are both robust and adaptive. While autoencoders excel at learning normal traffic patterns, they struggle with complex feature interactions and require manual tuning for different environments. We introduce the Adaptive Robust AutoEncoder (ARAE), a novel framework that dynamically balances reconstruction fidelity with latent space regularization through learnable loss weighting. ARAE incorporates multi-head attention to model feature dependencies and fuses multiple anomaly indicators into an adaptive scoring mechanism. Extensive evaluation on four benchmark datasets demonstrates that ARAE significantly outperforms existing autoencoder variants and classical methods, More >

Chang-Eui Hong^1,2,3, Su-Yun Lyu^1,2,3,*

BIOCELL, Vol.49, No.12, pp. 2377-2397, 2025, DOI:10.32604/biocell.2025.072360 - 24 December 2025

Abstract Objective: Triple-negative breast cancer (TNBC) remains a major therapeutic challenge with limited treatment options and poor prognosis. This study aimed to investigate the synergistic anticancer effects of doxorubicin (DOX) combined with Viscum album L. var. coloratum agglutinin (VCA) and to elucidate the underlying molecular mechanisms in TNBC cells. Methods: This study evaluated the synergistic effects and mechanisms of doxorubicin (DOX) and Viscum album L. var. coloratum agglutinin (VCA) combination in MDA-MB231 TNBC cells. Cell viability, oxidative stress markers, apoptosis-related proteins, cell migration, and proliferative recovery were assessed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, superoxide dismutase (SOD) and nitric oxide… More >

A. G. Kumar^a,*, V. K. V. Krishna^b, A. P. Lingaswamy^c, S. Masma^d, G. Prathibha^e, G. Sujatha^f, P. S. Kumar^g, T. V. Kumar^h, J. V. V. N. K. Raoⁱ, B. H. Rao^a

Chalcogenide Letters, Vol.22, No.2, pp. 143-149, 2025, DOI:10.15251/CL.2025.222.143

Abstract SnS thin films doped with two atomic % Ag are deposited on a pyrex glass substrates using chemical bath deposition method. The impact of 2 atomic % silver doping on the physical properties of SnS thin films is studied. X-ray diffraction studies confirmed that the deposited SnS films were of α-SnS phase with an orthorhombic crystal structure, which remained stable despite the addition of 2 at.% silver. It is observed that the addition of 2 atomic % silver to SnS chemical bath solution does not greatly influence the structural properties of SnS thin film. The More >

A. M. Abdel-Daiem^a, M. Ahmed^a,, E. R. Shaaban^b,

Chalcogenide Letters, Vol.22, No.2, pp. 131-142, 2025, DOI:10.15251/CL.2025.222.131

Abstract This paper investigates the impact of reduced graphene oxide (rGO) addition on the structural and optical properties of ZnS nanocomposites. The study began with the synthesis of graphene oxide (GO) through the oxidation of natural graphite powder. This process involved using potassium permanganate in a mixture of sulfuric and phosphoric acids, maintained at 50°C for 48 hours. The reaction was terminated using hydrogen peroxide, followed by purification and drying, yielding 1.5 grams of GO. The preparation of ZnS/GO nanocomposites involved dissolving zinc acetate and varying quantities of GO in water, adjusting the pH, and incorporating… More >