Junyu Ge¹, Yifan Wang¹, Hong Li^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-3, 2025, DOI:10.32604/icces.2025.011446

Abstract The advancement of untethered and adaptive robotic systems necessitates the development of compact, efficient, and silent pneumatic power sources [1,2]. Traditional pneumatic actuation relies on bulky compressors or external gas reservoirs, limiting their practical applications in mobile and autonomous systems [3,4]. This work presents a novel electrochemical pneumatic battery (EPB) that exploits electrochemical driven gas generation to achieve controlled and energy-efficient pneumatic actuation, offering a viable alternative to conventional air supply methods. The EPB operates through an electrochemical redox mechanism based on a zinc-oxygen battery [5–7], enabling reversible gas storage and controlled pressure modulation. This… More >

Phillip Taboada¹, Rohit R. Badia¹, Dhillon Advano¹, Andrew Murphy¹, Christina Sze¹, Ryan J. Mauck¹, Jennifer Tse¹, Jeffrey Gahan², Claus G. Roehrborn¹, Ramy Goueli^1,*

Canadian Journal of Urology, Vol.32, No.5, pp. 491-499, 2025, DOI:10.32604/cju.2025.068150 - 30 October 2025

Abstract Background: Aquablation is a robotic-assisted, water jet-based transurethral therapy for benign prostatic hyperplasia (BPH). Concerns about postoperative hematuria led to the practice of limited transurethral resection (TUR) with cauterization. This study aimed to assess the impact of tranexamic acid (TXA) on hematuria outcomes when combined with limited TUR after Aquablation. Methods: We retrospectively analyzed men undergoing Aquablation at our institution (October 2020–July 2024). Demographic, prostate, surgical, and hematuria outcomes were extracted from electronic medical records. Kruskal-Wallis test compared medians. Results: Of 131 patients, 113 (86%) had limited TUR; 31 (27%) received 1 g TXA perioperatively. TXA… More >

Joon Yau Leong^1,*, Vignesh Prasad², Carlos J. Perez Kerkvliet¹, Andrew A. Wagner³, Richard E. Link⁴, Mihir S. Shah¹

Canadian Journal of Urology, Vol.32, No.5, pp. 469-475, 2025, DOI:10.32604/cju.2025.066348 - 30 October 2025

Abstract In recent years, the introduction of the Da Vinci Single Port (SP) robotic platform has opened new doors for the treatment of localized renal masses. This technology, particularly when utilized via a regionalized retroperitoneal (RP) approach, offers several distinct advantages that may improve patient recovery. These advantages include easier access to both anterior and posterior renal tumors, avoidance of the peritoneal cavity with complicating adhesions, and simplified supine positioning, potentially reducing the risk of musculoskeletal or nerve injuries. Yet, the learning curve for RP surgery remains steep due to the unfamiliarity of many surgeons with More >

Dimindra Karki^*, Ghizlane Yaakoubi, Beth Edelblute, Ahmed Aboumohamed^*

Canadian Journal of Urology, Vol.32, No.5, pp. 501-507, 2025, DOI:10.32604/cju.2025.063294 - 30 October 2025

Abstract Background: Epithelioid angiomyolipoma (EAML) is an uncommon renal tumor variant with histologic and radiologic features that can mimic renal cell carcinoma (RCC) on imaging due to the paucity of fat compared to the classic AML. EAML may exhibit aggressive behavior, including local invasion, recurrence, and distant metastases to the liver, lungs, and lymph nodes. Although recent reports suggest that up to one-third of EAML cases may behave malignantly, variability in diagnostic criteria and limited case series contribute to uncertainty regarding its true clinical course. Case Description: This case report describes a 19-year-old female presenting with an… More >

Abubakar Elsafi^1,*, Arafat Abdulgader Mohammed Elhag², Lubna A. Gabralla³, Ali Ahmed⁴, Ashraf Osman Ibrahim⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 621-647, 2025, DOI:10.32604/cmes.2025.072726 - 30 October 2025

Abstract Energy efficiency stands as an essential factor when implementing deep reinforcement learning (DRL) policies for robotic control systems. Standard algorithms, including Deep Deterministic Policy Gradient (DDPG), primarily optimize task rewards but at the cost of excessively high energy consumption, making them impractical for real-world robotic systems. To address this limitation, we propose Physics-Informed DDPG (PI-DDPG), which integrates physics-based energy penalties to develop energy-efficient yet high-performing control policies. The proposed method introduces adaptive physics-informed constraints through a dynamic weighting factor (λ), enabling policies that balance reward maximization with energy savings. Our motivation is to overcome the… More >

Hsiao-Chun Han¹, Der-Chen Huang^1,*, Chin-Ling Chen^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 67-126, 2025, DOI:10.32604/cmes.2025.070944 - 30 October 2025

Abstract This study presents a systematic review of applications of artificial intelligence (abbreviated as AI) and blockchain in supply chain provenance traceability and legal forensics cover five sectors: integrated circuits (abbreviated as ICs), pharmaceuticals, electric vehicles (abbreviated as EVs), drones (abbreviated as UAVs), and robotics—in response to rising trade tensions and geopolitical conflicts, which have heightened concerns over product origin fraud and information security. While previous literature often focuses on single-industry contexts or isolated technologies, this review comprehensively surveys these sectors and categorizes 116 peer-reviewed studies by application domain, technical architecture, and functional objective. Special attention More >

Zeinel Momynkulov^1,2, Azhar Tursynova^1,2,*, Olzhas Olzhayev^1,2, Akhanseri Ikramov^1,2, Sayat Ibrayev¹, Batyrkhan Omarov^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 891-918, 2025, DOI:10.32604/cmes.2025.068615 - 30 October 2025

Abstract Robotic manipulators increasingly operate in complex three-dimensional workspaces where accuracy and strict limits on position, velocity, and acceleration must be satisfied. Conventional geometric planners emphasize path smoothness but often ignore dynamic feasibility, motivating control-aware trajectory generation. This study presents a novel model predictive control (MPC) framework for three-dimensional trajectory planning of robotic manipulators that integrates second-order dynamic modeling and multi-objective parameter optimization. Unlike conventional interpolation techniques such as cubic splines, B-splines, and linear interpolation, which neglect physical constraints and system dynamics, the proposed method generates dynamically feasible trajectories by directly optimizing over acceleration inputs while… More >

Nan Yang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011055

Abstract Integrating mechanical computing capabilities into robotic materials or systems enhances their intelligence in stimulus-response processes. However, current mechanical computing systems face limitations such as incomplete functionality, inflexible computational rules, challenges in implementing sequential and random logic operations, and lack of reusability. To address these issues, we propose a straightforward design method based on logical expressions to achieve more complex computational tasks. We developed soft B-shaped mechanical metamaterial units and introduced stress inputs through compression. The outputs are represented by light-shielding effects caused by unit deformation. Using this approach, we successfully implemented logic gates and their… More >

Surelys Ramos-Bell¹, Edson Rayón-Díaz¹, Juan A. Herrera-González², Estefanía Martínez-Batista¹, Rita M. Velázquez-Estrada¹, Porfirio Gutiérrez–Martínez^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3145-3156, 2025, DOI:10.32604/phyton.2025.071543 - 29 October 2025

Abstract A significant portion of losses in the fruit and vegetable sector are caused by the necrotrophic fungus Botrytis cinerea, due to its high prevalence in over 1000 crop species. Identifying a technology capable of exclusively inhibiting its growth and development remains challenging; therefore, various treatments have been proposed to act synergistically in preventing the spread of this pathogen. The objective of this study was to evaluate an ultrasound-assisted treatment combined with chitosan to control the development of B. cinerea. In vitro analyses showed that combining temperature, ultrasound, and chitosan inhibited the fungal radial growth by 80%, reduced sporulation, More >

Xin Liu¹, Zheng Zhang^2,*, Yu Zhao³, Yi Yang², Zhenning Qiao², Zhibo Xu², Xianzhi Yu²

Energy Engineering, Vol.122, No.11, pp. 4679-4702, 2025, DOI:10.32604/ee.2025.068371 - 27 October 2025

Abstract With the growing demand for offshore energy, deepwater drilling has become a vital technology in petroleum engineering. However, conventional drilling systems often face limitations such as delayed bottomhole pressure response and low control precision, particularly under narrow pressure window and complex formation conditions. To address these challenges, Dual-layer Pipe dual-gradient drilling (DGD) technology has been introduced, utilizing a dual-pipe structure and downhole lift pumps to extend the pressure control range. Despite these advantages, current DGD systems lack fast and precise bottomhole pressure control due to their reliance on indirect flow-based methods. This study proposes a… More >