SAM SON¹, AKSHAAR BRAHMBHATT¹, KEN ZHAO¹, BRETT MARINELLI¹, JAMES HARDING², WILLIAM JARNAGIN³, GHASSAN K. ABOU-ALFA², HOOMAN YARMOHAMMADI^1,*

Oncology Research, Vol.32, No.12, pp. 1831-1836, 2024, DOI:10.32604/or.2024.052985 - 13 November 2024

Abstract Background: This article aims to present the single-institution outcomes of patients with Fibrolamellar Carcinoma (FLC) treated with liver-directed therapies (LDT). Methods: In this single-center retrospective study, all patients diagnosed with FLC who underwent LDT were identified. Between July 2012 and July 2023, six patients were identified. One patient was excluded due to bleeding. Demographic and clinical parameters were recorded. Complications within 30 days of the LDT were evaluated. Radiological treatment responses at 1, 6, and 12 months were assessed per mRECIST. Results: A total of five patients, which included three females and two males, were reviewed.… More >

Donghua Dai^1,2,*, Yanze Li^1,2, Dongdong Gu^1,2,*, Wentai Zhao^1,2, Yuhang Long^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012500

Abstract Laser Directed Energy Deposition (LDED) technology was employed to fabricate internal structures within the hollow interiors of rotating parts, such as tubes and cylinders. A three-dimensional transient multiphysics model for C276 material was developed, which anticipated the impact of angular velocity from tube rotation on various aspects. This model, validated by experiments, focused on the melt pool morphology, Marangoni convection, oriented crystal microevolution, and deposited material microhardness. It was found that at 150 ms deposition, the dimensions of the melt pool stabilized. With an increase in the Peclet number, heat transfer within the melt pool… More >

Yunfei Li¹, Dongjiang Wu¹, Fangyong Niu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012365

Abstract The plastic deformation assisted method plays a positive role in regulating the microstructure and mechanical properties of metal components in additive manufacturing. In this work, the effect of hammer forging force on the microstructure and mechanical properties of 316L stainless steel additive components were investigated by using synchronous-hammer-forging-assisted laser directed energy deposition method. The results show that when the hammer forging force is greater than 40 N, the grain refinement effect is obvious, the grain size decreases by more than 60 %, and the maximum strength of the polar diagram decreases by more than 75 More >

Lichao Zhang¹, Zhao Zhang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012849

Abstract Powder flow can affect the temperature variations in directed energy deposition (DED). However, the direct coupling mechanism remains unknown. To solve this problem, the heat and mass transfer in additive manufacturing was simulated using dynamic coupling. The interactions between the multiphase flow and heat transfer were established. A comparison with experiment shows that the accuracy of the predictions of the numerical simulation regarding powder size distributions and temperature increases is higher than 95%. The average temperature increase of the metal powders with different weight functions was highly consistent in the simulation process. As the powder More >

Mingzhi Chen¹, Zhandong Wang², Guifang Sun^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012203

Abstract Marine environments pose severe corrosion challenges to underwater equipment, thereby leading to significant risks and demanding immediate in-situ restoration. Here we developed an underwater laser directed energy deposition (UDMD) technique to repair the E690 steel and enhance its corrosion resistance. Systematic investigations about the underwater pressure (P) and 316L stainless steel (SS316L) coatings on the microstructure, mechanical properties, and corrosion resistance of the repaired E690 steel were conducted. Results show that water cooling can refine grain, promote the formation of lath martensite, and increase dislocation density. No obvious relationship between the pressure and microstructure evolution… More >

Kaicheng Liu^1,3, Chen Liang², Naiyue Wu^1,3, Xiaoyang Dong², Hui Yu^1,*

Energy Engineering, Vol.121, No.9, pp. 2621-2637, 2024, DOI:10.32604/ee.2024.050001 - 19 August 2024

Abstract This paper presents a novel approach to economic dispatch in smart grids equipped with diverse energy devices. This method integrates features including photovoltaic (PV) systems, energy storage coupling, varied energy roles, and energy supply and demand dynamics. The system model is developed by considering energy devices as versatile units capable of fulfilling various functionalities and playing multiple roles simultaneously. To strike a balance between optimality and feasibility, renewable energy resources are modeled with considerations for forecasting errors, Gaussian distribution, and penalty factors. Furthermore, this study introduces a distributed event-triggered surplus algorithm designed to address the More >

Kun Liu^1,2, Peiran Li³, Yu Zhang^1,*, Jia Ren¹, Ming Li⁴, Xianyu Wang², Cong Li²

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2535-2555, 2024, DOI:10.32604/cmc.2024.052166 - 15 August 2024

Abstract When learning the structure of a Bayesian network, the search space expands significantly as the network size and the number of nodes increase, leading to a noticeable decrease in algorithm efficiency. Traditional constraint-based methods typically rely on the results of conditional independence tests. However, excessive reliance on these test results can lead to a series of problems, including increased computational complexity and inaccurate results, especially when dealing with large-scale networks where performance bottlenecks are particularly evident. To overcome these challenges, we propose a Markov blanket discovery algorithm based on constrained local neighborhoods for constructing undirected… More >

Jian Shang^1,2,*, Runmin Guan², Wei Wang²

Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 2609-2626, 2023, DOI:10.32604/iasc.2023.037694 - 11 September 2023

Abstract The wide application of intelligent terminals in microgrids has fueled the surge of data amount in recent years. In real-world scenarios, microgrids must store large amounts of data efficiently while also being able to withstand malicious cyberattacks. To meet the high hardware resource requirements, address the vulnerability to network attacks and poor reliability in the traditional centralized data storage schemes, this paper proposes a secure storage management method for microgrid data that considers node trust and directed acyclic graph (DAG) consensus mechanism. Firstly, the microgrid data storage model is designed based on the edge computing… More >

Zhenan Zhao^1,*, Weizhu Yang^2,3, Lei Li², Shouyi Sun², Yan Zeng²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-2, 2023, DOI:10.32604/icces.2023.010342

Abstract The hot section components are usually in service under cyclic loading in an extreme working environment with high rotational speed at high temperatures, which is prone to fatigue failure. It is reported that fatigue related failures have accounted for over 50% of all failures of hot section components. Consequently, fatigue related failure at high temperature is one of the most important factors that shortens the service life of hot section components. Ni-based superalloy GH4169, similar as Inconel 718 (IN718), is a γ′′ and γ′ precipitation strengthened alloy. For decades, GH4169 superalloy keeps being an important… More >

Tayyaba Noreen^1,*, Qiufen Xia¹, Muhammad Zeeshan Haider²

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2593-2613, 2023, DOI:10.32604/cmc.2023.036139 - 31 March 2023

Abstract In the past decade, blockchain has evolved as a promising solution to develop secure distributed ledgers and has gained massive attention. However, current blockchain systems face the problems of limited throughput, poor scalability, and high latency. Due to the failure of consensus algorithms in managing nodes’identities, blockchain technology is considered inappropriate for many applications, e.g., in IoT environments, because of poor scalability. This paper proposes a blockchain consensus mechanism called the Advanced DAG-based Ranking (ADR) protocol to improve blockchain scalability and throughput. The ADR protocol uses the directed acyclic graph ledger, where nodes are placed… More >