Francesco Claps^1,2,*, Miguel Ramírez-Backhaus¹, Álvaro Gómez-Ferrer¹, Juan Manuel Mascarós¹, Argimiro Collado Serra¹, Augusto Wong¹, Ana Calatrava Fons³, Miguel Ángel Climent⁴, Antonio Amodeo², Angelo Porreca⁵, Jose Rubio-Briones^1,6

Canadian Journal of Urology, DOI:10.32604/cju.2025.070162

Abstract Objectives: Residual Disease after adjuvant chemotherapy for non-seminomatous germ cell tumor (NSGCT) poses a significant clinical challenge and difficulties in tailored management. This study aimed to externally validate the Heidenreich criteria among patients eligible for unilateral post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) for residual masses of NSGCT. Methods: For validation, these criteria were retrospectively applied in 23 patients undergoing PC-RPLND for residual masses of NSGCTs. In patients qualified for unilateral-modified PC-RPLND according to the Heidenreich criteria but treated with fully bilateral dissection, pathological reports were evaluated to identify teratoma or active cancer cells inside the… More >

Sarah M. Kodres–O’Brien^*, Mackenzie Koellermeier, Nayan Shah, Peter Langenstroer

Canadian Journal of Urology, DOI:10.32604/cju.2025.069550

Abstract Background: Retained bullet fragments in the genitourinary tract following gunshot wound is rare and require removal. Case Description: We present the case of a retained bullet in the prostate following a gunshot wound to the pelvis, which was endoscopically removed. A urethral catheter and suprapubic tube were placed. The patient then had migration of a second bullet fragment into the prostatic urethra six weeks later, requiring open removal. Conclusions: This case shows that several approaches can be considered to remove retained bullet fragments from the urinary tract. Furthermore, access to the bladder via a suprapubic tube More >

Wu Feng^1,2,*, Tengku Anita Raja Hussin¹, Xu Yang³

Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2025.071664

Abstract This study investigates the thermo–mechanical behavior of C40 concrete and reinforced concrete subjected to elevated temperatures up to 700°C by integrating experimental testing and advanced numerical modeling. A temperature-indexed Concrete Damage Plasticity (CDP) framework incorporating bond–slip effects was developed in Abaqus to capture both global stress–strain responses and localized damage evolution. Uniaxial compression tests on thermally exposed cylinders provided residual strength data and failure observations for model calibration and validation. Results demonstrated a distinct two-stage degradation regime: moderate stiffness and strength reduction up to ~400°C, followed by sharp deterioration beyond 500°C–600°C, with residual capacity at… More >

Lan Luo¹, Yun Shen¹, Zuntao Gu², Linbing Wang¹, Shijian Sun^3,*

Journal of Psychology in Africa, DOI:10.32604/jpa.2025.066529

Abstract This cross-sectional study examined how parenting styles influence college students’ romantic attitudes through para-social relationships. A total of 571 college students (females = 71.2%) completed the Short-form Parenting Style Scale, the Para-social Relationship Scale, and the Questionnaire on College Students’ View of Marriage and Love. Mediation was examined with bootstrap-corrected structural equation modelling (5000 resamples). Results indicated that maternal rejection (indirect effect β = −0.019, 95% CI = −0.055–−0.001, p < 0.05) and overprotection (indirect effect β = −0.02, 95% CI = −0.055–−0.001, p < 0.05) indirectly undermined college students’ marriage views by intensifying para-social relationships, whereas More >

Jiangyang Yuan¹, Jiaowen Wu¹, Yi Gao¹, Yuhao Fu², Yuntao Bu², Tianyu Chen², Hao Yu^2,*

Energy Engineering, DOI:10.32604/ee.2025.070715

Abstract In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon operational strategies. This paper proposes an electricity-carbon synergy-driven optimization method for the low-carbon operation of multi-energy parks. The method integrates multi-energy complementary scheduling with a tiered carbon trading mechanism to balance operational security, economic efficiency, and environmental objectives. A mixed-integer linear programming model is developed to characterize the coupling relationships and dynamic behaviors of key equipment, including photovoltaic systems, ground-source heat pumps, thermal storage electric boilers, combined heat and power units, and electrical energy… More >

Erping Song^1,*, Zipin Yao²

Energy Engineering, DOI:10.32604/ee.2025.063827

Abstract Wind farm layout optimization is a critical challenge in renewable energy development, especially in regions with complex terrain. Micro-siting of wind turbines has a significant impact on the overall efficiency and economic viability of wind farm, where the wake effect, wind speed, types of wind turbines, etc., have an impact on the output power of the wind farm. To solve the optimization problem of wind farm layout under complex terrain conditions, this paper proposes wind turbine layout optimization using different types of wind turbines, the aim is to reduce the influence of the wake effect… More >

Adeel Munawar¹, Muhammad Nadeem Ali², Awais Qasim³, Byung-Seo Kim^2,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.071876

Abstract Cyber-physical systems (CPS) represent a sophisticated integration of computational and physical components that power critical applications such as smart manufacturing, healthcare, and autonomous infrastructure. However, their extensive reliance on internet connectivity makes them increasingly susceptible to cyber threats, potentially leading to operational failures and data breaches. Furthermore, CPS faces significant threats related to unauthorized access, improper management, and tampering of the content it generates. In this paper, we propose an intrusion detection system (IDS) optimized for CPS environments using a hybrid approach by combining a nature-inspired feature selection scheme, such as Grey Wolf Optimization (GWO),… More >

Haoyun Fan¹, Soon Poh Yap^1,*, Shengkang Zhang¹, Ahmed El-Shafie^2,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.070880

Abstract Data-driven research on recycled aggregate concrete (RAC) has long faced the challenge of lacking a unified testing standard dataset, hindering accurate model evaluation and trust in predictive outcomes. This paper reviews critical parameters influencing mechanical properties in 35 RAC studies, compiles four datasets encompassing these parameters, and compiles the performance and key findings of 77 published data-driven models. Baseline capability tests are conducted on the nine most used models. The paper also outlines advanced methodological frameworks for future RAC research, examining the principles and challenges of physics-informed neural networks (PINNs) and generative adversarial networks (GANs), More >

Abdulaziz A. Alsulami¹, Qasem Abu Al-Haija^2,*, Badraddin Alturki³, Ayman Yafoz¹, Ali Alqahtani⁴, Raed Alsini¹, Sami Saeed Binyamin⁵

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.070745

Abstract QR codes are widely used in applications such as information sharing, advertising, and digital payments. However, their growing adoption has made them attractive targets for malicious activities, including malware distribution and phishing attacks. Traditional detection approaches rely on URL analysis or image-based feature extraction, which may introduce significant computational overhead and limit real-time applicability, and their performance often depends on the quality of extracted features. Previous studies in malicious detection do not fully focus on QR code security when combining convolutional neural networks (CNNs) with recurrent neural networks (RNNs). This research proposes a deep learning… More >

Yuan Mei^1,2, Daokui Li^1,2, Shiming Zhou^1,2,*, Zhibin Shen^1,2

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2025.070252

Abstract Viscoelastic solids, such as composite propellants, exhibit significant time and rate dependencies, and their fracture processes display high levels of nonlinearity. However, the correlation between crack propagation and viscoelastic energy dissipation in these materials remains unclear. Therefore, accurately modeling and understanding of their fracture behavior is crucial for relevant engineering applications. This study proposes a novel viscoelastic phase-field model. In the numerical implementation, the adopted adaptive time-stepping iterative strategy effectively accelerates the coupling iteration efficiency between the phase-field and the displacement field. Moreover, all unknown parameters in the model, including the form of the phase-field More >