Yongbing Li^1,*, Yunwu Ma¹, Yujun Xia¹, Ming Lou¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012602

Abstract The implementation of lightweight materials and structures in automotive body manufacturing is a strategic approach to improve fuel efficiency of energy-efficient vehicles and driving range of new energy vehicles. However, high specific strength low-ductility light metals (like 7xxx aluminum, magnesium and cast aluminum), ultra-high strength steels, high-stiffness profile structures and their mixed use poses a big challenge to existing commercial spot joining processes, such as resistance spot welding and self-piercing riveting. In this talk, the challenges which new lightweight materials and structures pose to spot joining process will be presented, the bottleneck of the existing More >

KURT SARTORIUS^1,2,3,*, BENN SARTORIUS⁴, CHERIE WINKLER⁵, ANIL CHUTURGOON², ANNA KRAMVIS¹, PING AN⁵, WEIGANG ZHANG⁶, YUNJIE LU^3,6,7,*

BIOCELL, Vol.48, No.11, pp. 1543-1567, 2024, DOI:10.32604/biocell.2024.055505 - 07 November 2024

Abstract Hepatitis B-associated hepatocellular carcinoma (HBV-HCC) remains an intractable high-mortality solid tumor cancer that accounted for 42% of global HCC cases in 2019. Despite some developments in systemic therapy, only a small subset of late-stage HCC patients responds positively to recently developed therapeutic innovations. MicroRNAs (miRNAs) act as an ancillary epigenetic system that can regulate genome expression in all cancer pathways including HCC. The molecular mechanisms of miRNA regulation in cancer pathogenesis offered researchers a new approach that was widely hoped would translate into miRNA-based drugs and diagnostics. Thirty years on, miRNA-based diagnostic and therapeutic agents… More >

Salma Moushi^1,*, Jaouad Ait lahcen¹, Ahmed El Hana¹, Yassine Ezaier¹, Ahmed Hader^1,2, Imane Bakassi¹, Iliass Tarras¹, Yahia Boughaleb^1,3

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2509-2521, 2024, DOI:10.32604/fdmp.2024.053501 - 28 October 2024

Abstract Multi-layer membrane filtration is a widely used technology for separating and purifying different components of a liquid mixture. This technique involves passing the liquid mixture through a series of membranes with decreasing pore sizes, which allows for the separation of different components according to their molecular size. This study investigates the filtration process of a fluid through a two-dimensional porous medium designed for seawater desalination. The focus is on understanding the impact of various parameters such as the coefficient of friction, velocity, and the number of layers on filtration efficiency. The results reveal that the More >

Wenhao Shen^1,2,*, Moubin Liu²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011418

Abstract In this talk, we will present a SPH formulation for coupled Thermal-Hydraulic-Mechanical processes. The Biot’s theory is used to model the fluid-solid interaction of saturated porous media, the Fourier’s law and the Newton’s law of cooling are used to describe the thermal conduction in a single medium and the heat exchange between the fluid and the solid, respectively. The physical model is expressed in the initial reference, and the total Lagrangian SPH is used to build the discrete formulation. We will discuss the numerical instability induced by twice repeated derivatives of discontinuous physical quantities, and More >

Yehao Long, Jing Zhong^*, Tongdi Zhang, Li Chen, Lijun Zhang^*

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3435-3453, 2024, DOI:10.32604/cmc.2024.051629 - 20 June 2024

Abstract Physical Vapor Deposited (PVD) TiAlN coatings are extensively utilized as protective layers for cutting tools, renowned for their excellent comprehensive performance. To optimize quality control of TiAlN coatings for cutting tools, a multi-scale simulation approach is proposed that encompasses the microstructure evolution of coatings considering the entire preparation and service lifecycle of PVD TiAlN coatings. This scheme employs phase-field simulation to capture the essential microstructure of the PVD-prepared TiAlN coatings. Moreover, cutting simulation is used to determine the service temperature experienced during cutting processes at varying rates. Cahn-Hilliard modeling is finally utilized to consume the More >

Dingyi Jin¹, Guo Wei^2,*

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3455-3468, 2024, DOI:10.32604/cmc.2024.048644 - 20 June 2024

Abstract To investigate the effects of material combinations and velocity conditions on atomic diffusion behavior near collision interfaces, this study simulates the atomic diffusion behavior near collision interfaces in Cu-Al, Al-Al and Cu-Cu combinations fabricated through collision welding using molecular dynamic (MD) simulation. The atomic diffusion behaviors are compared between similar metal combinations (Al-Al, Cu-Cu) and dissimilar metal combinations (Al-Cu). By combining the simulation results and classical diffusion theory, the diffusion coefficients for similar and dissimilar metal material combinations under different velocity conditions are obtained. The effects of material combinations and collision velocity on diffusion behaviors More >

Bin Luo^1,2,3, Liangguo Chen^1,2,3, Shuhua Ruan^1,2,3,*, Yonggang Luo^2,3,*

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1731-1754, 2024, DOI:10.32604/cmc.2023.045739 - 27 February 2024

Abstract Considering the stealthiness and persistence of Advanced Persistent Threats (APTs), system audit logs are leveraged in recent studies to construct system entity interaction provenance graphs to unveil threats in a host. Rule-based provenance graph APT detection approaches require elaborate rules and cannot detect unknown attacks, and existing learning-based approaches are limited by the lack of available APT attack samples or generally only perform graph-level anomaly detection, which requires lots of manual efforts to locate attack entities. This paper proposes an APT-exploited process detection approach called ThreatSniffer, which constructs the benign provenance graph from attack-free audit… More >

Yongwang Yuan¹, Xiangwei Liu^2,3,*, Ke Lu^1,3

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 1227-1252, 2024, DOI:10.32604/cmc.2023.046937 - 30 January 2024

Abstract Predictive Business Process Monitoring (PBPM) is a significant research area in Business Process Management (BPM) aimed at accurately forecasting future behavioral events. At present, deep learning methods are widely cited in PBPM research, but no method has been effective in fusing data information into the control flow for multi-perspective process prediction. Therefore, this paper proposes a process prediction method based on the hierarchical BERT and multi-perspective data fusion. Firstly, the first layer BERT network learns the correlations between different category attribute data. Then, the attribute data is integrated into a weighted event-level feature vector and More >

Bilal Khan¹, Saifullah Jan^1,*, Wahab Khan¹, Muhammad Imran Chughtai²

Journal on Big Data, Vol.6, pp. 1-20, 2024, DOI:10.32604/jbd.2023.046223 - 26 January 2024

Abstract The extraction, transformation, and loading (ETL) process is a crucial and intricate area of study that lies deep within the broad field of data warehousing. This specific, yet crucial, aspect of data management fills the knowledge gap between unprocessed data and useful insights. Starting with basic information unique to this complex field, this study thoroughly examines the many issues that practitioners encounter. These issues include the complexities of ETL procedures, the rigorous pursuit of data quality, and the increasing amounts and variety of data sources present in the modern data environment. The study examines ETL… More >

JIANFA WU^1,2,#, QIANYI LIAO^3,#, LI ZHANG^1,2,#, SUQIN WU^1,2,*, ZHOU LIU^1,2,*

Oncology Research, Vol.32, No.2, pp. 373-391, 2024, DOI:10.32604/or.2023.031404 - 28 December 2023

Abstract The impact of different iron metabolism processes (DIMP) on ovarian cancer remains unclear. In this study, we employed various gene chips and databases to investigate the role of DIMP in the initiation and development of ovarian cancer. cBioPortal was used to determine mutations in DIMP-associated genes in ovarian cancer. Kaplan-Meier plotter was used to examine the influence of DIMP on the prognosis of ovarian cancer. By analyzing 1669 serous ovarian cancer cases, we identified a range of mutations in iron metabolism genes, notably in those coding for the transferrin receptor (19%), melanotransferrin (19%), and ceruloplasmin… More >