Anushka Ghosh, Maria J. D’Amico, Yash B. Shah, Whitney R. Smith, Mihir S. Shah, Costas D. Lallas, Alana M. Murphy^*

Canadian Journal of Urology, Vol.32, No.6, pp. 627-632, 2025, DOI:10.32604/cju.2025.067575 - 30 December 2025

Abstract Background: Genitourinary syndrome of menopause (GSM) is a highly prevalent, underdiagnosed condition that can significantly impair quality of life (QoL). This study evaluates real-world treatment trends for GSM to better understand current management practices and highlight ongoing gaps in care. The background is in a different font than the rest of the abstract. Methods: We queried the TriNetX database for patients with a diagnosis of postmenopausal atrophic vaginitis (ICD N95.2) and treatment information from 2004–2024. A combination of RxNorm and International Classification of Diseases-10 (ICD) codes was used to classify disease and treatment type, including… More >

Maryam^1,*, Rahayu Puji², Luthfi Muhammad Zulfikar², Ikhsandy Ferry², Nadiyah Khairun¹, Hidayat³, Ilyas Rushdan Ahmad⁴, Syafri Edi⁵

Journal of Renewable Materials, Vol.13, No.12, pp. 2431-2451, 2025, DOI:10.32604/jrm.2025.02024-0063 - 23 December 2025

Abstract The development of the bioplastics industry addresses critical issues such as environmental pollution and food safety concerns. However, the industrialization of bioplastics remains underdeveloped due to challenges such as high production costs and suboptimal material characteristics. To enhance these characteristics, this study investigates bioplastics reinforced with Nanocrystalline Cellulose (NCC) derived from Oil Palm Empty Fruit Bunches (OPEFB), incorporating dispersing agents. The research employs a Central Composite Design from the Response Surface Methodology (RSM) with two factors: the type of dispersing agent (KCl and NaCl) and the NCC concentration from OPEFB (1%–5%), along with the dispersing… More >

Yassir M. Abbas^1,*, Ammar Babiker², Fouad Ismail Ismail³

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3279-3307, 2025, DOI:10.32604/cmes.2025.074069 - 23 December 2025

Abstract Accurately predicting the compressive strength of recycled aggregate concrete (RAC) incorporating supplementary cementitious materials (SCMs) remains a critical challenge due to the heterogeneous nature of recycled aggregates (RA) and the complex interactions among multiple binder constituents. This study advances the field by developing the most extensive and rigorously preprocessed database to date, which comprises 1243 RAC mixtures containing silica fume, fly ash, and ground-granulated blast-furnace slag. A hybrid, domain-informed machine-learning framework was then proposed, coupling optimized Extreme Gradient Boosting (XGBoost) with civil engineering expertise to capture the complex chemical and microstructural mechanisms that govern RAC… More >

Damodharan Palaniappan¹, Tan Kuan Tak², K. Vijayan³, Balajee Maram⁴, Pravin R Kshirsagar⁵, Naim Ahmad^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4107-4127, 2025, DOI:10.32604/cmes.2025.073387 - 23 December 2025

Abstract A phase-aware cross-modal framework is presented that synthesizes UWF_FA from non-invasive UWF_RI for diabetic retinopathy (DR) stratification. A curated cohort of 1198 patients (2915 UWF_RI and 17,854 UWF_FA images) with strict registration quality supports training across three angiographic phases (initial, mid, final). The generator is based on a modified pix2pixHD with an added Gradient Variance Loss to better preserve microvasculature, and is evaluated using MAE, PSNR, SSIM, and MS-SSIM on held-out pairs. Quantitatively, the mid phase achieves the lowest MAE (98.76 ± 42.67), while SSIM remains high across phases. Expert review shows substantial agreement (Cohen’s More >

Ana Hermosilla^1,2,*, Pedro Martinez-Julia³, Diego R. Lopez⁴, Antonio F. Skarmeta^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4279-4316, 2025, DOI:10.32604/cmes.2025.072607 - 23 December 2025

Abstract In this study, we analyzed the processes involved in the resolution and enforcement of multi-domain network intent policies for intent-based networking (IBN). Previous studies on IBN analyzed the basis of the network intent resolution processes. These processes produce the artifacts required by network intent policy enforcement. Thus, we continued such studies with the inclusion of network intent policy enforcement in the analysis, for which we constructed a model that predicts the accuracy of a multi-domain network intent policy enforcement system. We validated the model by designing a new multi-domain network intent policy enforcement system, and… More >

Adnan Ashique^1,#, Khalid Masood², Usman Afzal¹, Mati Ur Rahman², Maddina Dinesh Kumar³, Sohaib Abdal³, Nehad Ali Shah^1,#,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3627-3699, 2025, DOI:10.32604/cmes.2025.072523 - 23 December 2025

Abstract This study outlines a quantitative and data-driven study of the mixed convection heat transfer processes that concern Cu-water nanofluids in a Γ-shaped enclosure with one to five rotating cylinders. The dimensionless equations of mass, momentum, and energy are solved using the finite element method as implemented in the COMSOL Multiphysics 6.3 software in different rotating Reynolds numbers and cylinder geometries. An artificial Neural Network that is trained using Bayesian Regularization on data produced by the COMSOL is utilized to estimate the average Nusselt numbers. The analysis is conducted for a wide range of rotational… More >

S. I. Aziz, G. G. Ali^*

Chalcogenide Letters, Vol.22, No.3, pp. 239-253, 2025, DOI:10.15251/CL.2025.223.239

Abstract This work investigates the photodetector characteristics of lead and cadmium sulfide thin films deposited on porous silicon heterojunction at composites (x=0,0.25,0.5,0.75,1). The characteristics of all deposited samples were estimated by X-ray diffraction (XRD), highresolution scanning electron microscope (FESEM), Energy-dispersive X-ray (EDX), I-V measurements, and photodetector properties. PbS and CdS thin films have been successful, and photodetector properties on the porous silicon surface have performed well using the chemical spray method. An X-ray confirmed that the prepared samples have a crystalline phase structure. Besides, the results indicate that the PbS and CdS thin films have cubic… More >

C. B. Cui^a,b, G. C. Yang^b, Z. Zhang^a,, X. J. Wang^c,

Chalcogenide Letters, Vol.22, No.6, pp. 507-520, 2025, DOI:10.15251/CL.2025.226.507

Abstract This research introduces an innovative aptasensor for detecting alpha-fetoprotein with exceptional sensitivity and specificity, employing a novel MoS₂/Fe₃O₄ composite fabricated through an advanced in-situ growth methodology. The composite exhibited a hierarchical flower-like structure with uniformly distributed Fe3O4 nanoparticles, confirmed by SEM, XRD, and Raman spectroscopy. The MoS₂/Fe₃O₄ composite demonstrated a 66% increase in surface area (7.16 m^²/g) compared to pristine MoS2, enhancing aptamer immobilization and electron transfer efficiency. Electrochemical characterization revealed a significant increase in interfacial resistance upon AFP binding, with a detection limit of 0.3 pg/mL and a dual linear range of 0.001–0.1 ng/mL and 0.1–100 More >

Abd Rahman Wahid^*

Journal of Cyber Security, Vol.7, pp. 589-614, 2025, DOI:10.32604/jcs.2025.071622 - 11 December 2025

Abstract The rapid increase in cyber attacks requires accurate, adaptive, and interpretable detection and response mechanisms. Conventional security solutions remain fragmented, leaving gaps that attackers can exploit. This study introduces the HI-XDR (Hybrid Intelligent Extended Detection and Response) framework, which combines network-based Suricata rules and endpoint-based Wazuh rules into a unified dataset containing 45,705 entries encoded into 1058 features. A semantic-aware autoencoder-based anomaly detection module is trained and strengthened through adversarial learning using Projected Gradient Descent, achieving a minimum mean squared error of 0.0015 and detecting 458 anomaly rules at the 99th percentile threshold. A comparative… More >

Miah A. Robinson, Abdulghani M. Abdulghani, Mokhles M. Abdulghani, Khalid H. Abed^*

Journal on Artificial Intelligence, Vol.7, pp. 615-632, 2025, DOI:10.32604/jai.2025.073535 - 01 December 2025

Abstract Ensuring the safety of Artificial Intelligence (AI) is essential for providing dependable services, especially in various sectors such as the military, education, healthcare, and automotive industries. A highly effective method to boost the precision and performance of an AI agent involves multi-configuration training, followed by thorough evaluation in a specific setting to gauge performance outcomes. This research thoroughly investigates the design of three AI agents, each configured with a different number of hidden units. The first agent is equipped with 128 hidden units, the second with 256, and the third with 512, all utilizing the… More >