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  • Open Access

    REVIEW

    Implication of Water-Rock Interaction for Enhancing Shale Gas Production

    Qiuyang Cheng1,2,3, Lijun You3,*, Cheng Chang1,2, Weiyang Xie1,2, Haoran Hu1,2, Xingchen Wang1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1441-1462, 2024, DOI:10.32604/fdmp.2024.051200

    Abstract Horizontal well drilling and multi-stage hydraulic fracturing technologies are at the root of commercial shale gas development and exploitation. During these processes, typically, a large amount of working fluid enters the formation, resulting in widespread water-rock interaction. Deeply understanding such effects is required to optimize the production system. In this study, the mechanisms of water-rock interaction and the associated responses of shale fabric are systematically reviewed for working fluids such as neutral fluids, acid fluids, alkali fluids and oxidative fluids. It is shown that shale is generally rich in water-sensitive components such as clay minerals,… More >

  • Open Access

    ARTICLE

    Coupled CFD-DEM Numerical Simulation of the Interaction of a Flow-Transported Rag with a Solid Cylinder

    Yun Ren1,*, Lianzheng Zhao2, Xiaofan Mo2, Shuihua Zheng2, Youdong Yang1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1593-1609, 2024, DOI:10.32604/fdmp.2024.046274

    Abstract A coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) approach is used to calculate the interaction of a flexible rag transported by a fluid current with a fixed solid cylinder. More specifically a hybrid Eulerian-Lagrangian approach is used with the rag being modeled as a set of interconnected particles. The influence of various parameters is considered, namely the inlet velocity (1.5, 2.0, and 2.5 m/s, respectively), the angle formed by the initially straight rag with the flow direction (45°, 60° and 90°, respectively), and the inlet position (90, 100, and 110 mm, respectively). The results show More > Graphic Abstract

    Coupled CFD-DEM Numerical Simulation of the Interaction of a Flow-Transported Rag with a Solid Cylinder

  • Open Access

    ARTICLE

    Hybrid Multi-Infeed Interaction Factor Calculation Method Considering Voltage Regulation Control Characteristics of Voltage Source Converter

    Shan Liu1, Chengbin Chi1, Fengze Han2, Yanan Wu1, Lin Zhu1, Tuo Wang2,*

    Energy Engineering, Vol.121, No.8, pp. 2257-2273, 2024, DOI:10.32604/ee.2024.049861

    Abstract Voltage source converter based high voltage direct current (VSC-HVDC) can participate in voltage regulation by flexible control to help maintain the voltage stability of the power grid. In order to quantitatively evaluate its influence on the voltage interaction between VSC-HVDC and line commutated converter based high voltage direct current (LCC-HVDC), this paper proposes a hybrid multi-infeed interaction factor (HMIIF) calculation method considering the voltage regulation control characteristics of VSC-HVDC. Firstly, for a hybrid multi-infeed high voltage direct current system, an additional equivalent operating admittance matrix is constructed to characterize HVDC equipment characteristics under small disturbance.… More >

  • Open Access

    ARTICLE

    A High-Accuracy Curve Boundary Recognition Method Based on the Lattice Boltzmann Method and Immersed Moving Boundary Method

    Jie-Di Weng1, Yong-Zheng Jiang1,*, Long-Chao Chen1, Xu Zhang1, Guan-Yong Zhang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2533-2557, 2024, DOI:10.32604/cmes.2024.051232

    Abstract Applying numerical simulation technology to investigate fluid-solid interaction involving complex curved boundaries is vital in aircraft design, ocean, and construction engineering. However, current methods such as Lattice Boltzmann (LBM) and the immersion boundary method based on solid ratio (IMB) have limitations in identifying custom curved boundaries. Meanwhile, IBM based on velocity correction (IBM-VC) suffers from inaccuracies and numerical instability. Therefore, this study introduces a high-accuracy curve boundary recognition method (IMB-CB), which identifies boundary nodes by moving the search box, and corrects the weighting function in LBM by calculating the solid ratio of the boundary nodes,… More > Graphic Abstract

    A High-Accuracy Curve Boundary Recognition Method Based on the Lattice Boltzmann Method and Immersed Moving Boundary Method

  • Open Access

    REVIEW

    Computational and bioinformatics tools for understanding disease mechanisms

    MOHD ATHAR1,*, ANU MANHAS2, NISARG RANA2, AHMAD IRFAN3

    BIOCELL, Vol.48, No.6, pp. 935-944, 2024, DOI:10.32604/biocell.2024.049891

    Abstract Computational methods have significantly transformed biomedical research, offering a comprehensive exploration of disease mechanisms and molecular protein functions. This article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease states. The utilization of protein/gene interaction and genetic variation databases, coupled with pathway analysis can facilitate the identification of potential drug targets. By bridging the gap between molecular-level information and disease understanding, this review contributes insights into the impactful utilization of computational methods, paving the way for More >

  • Open Access

    ARTICLE

    Research on the Effect of Dance Therapy on Improving Social Communication Ability of Children with Autism

    Xiaorui Cui1, Shan Wang2,*

    International Journal of Mental Health Promotion, Vol.26, No.5, pp. 407-416, 2024, DOI:10.32604/ijmhp.2023.030135

    Abstract Research motivation: Through the 12 weeks dance therapy intervention for children with autism, the purpose is to explore the intervention model of dance therapy for children with autism and the changes in motor ability, social ability, and communication ability of children with autism after dance therapy intervention. The results of the research are expected to expand the intervention mode of dance therapy in my country and provide practical reference for rehabilitation intervention of children with autism. Research methods: 24 autistic boys aged 6 to 12 with mild to moderate symptoms were recruited and screened through the Internet… More >

  • Open Access

    ARTICLE

    Analysis of MicroRNA–mRNA Interactions in Stem Cell-Enriched Fraction of Oral Squamous Cell Carcinoma

    Vinitha Richard, Rajesh Raju, Aswathy Mary Paul, Reshmi Girijadevi, Thankayyan Retnabai Santhosh Kumar, Madhavan Radhakrishna Pillai

    Oncology Research, Vol.26, No.1, pp. 17-26, 2018, DOI:10.3727/096504017X14881490607028

    Abstract This study is an integrated analysis of the transcriptome profile microRNA (miRNA) and its experimentally validated mRNA targets differentially expressed in the tumorigenic stem-like fraction of oral squamous cell carcinoma (OSCC). We had previously reported the coexistence of multiple drug-resistant tumorigenic fractions, termed side population (SP1, SP2, and MP2), and a nontumorigenic fraction, termed main population (MP1), in oral cancer. These fractions displayed a self-renewal, regenerative potential and expressed known stemness-related cell surface markers despite functional differences. Flow cytometrically sorted pure fractions of SP1 and MP1 cells were subjected to differential expression analysis of both… More >

  • Open Access

    ARTICLE

    Hybrid Strategy of Partitioned and Monolithic Methods for Solving Strongly Coupled Analysis of Inverse and Direct Piezoelectric and Circuit Coupling

    Daisuke Ishihara*, Syunnosuke Nozaki, Tomoya Niho, Naoto Takayama

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1371-1386, 2024, DOI:10.32604/cmes.2024.049694

    Abstract The inverse and direct piezoelectric and circuit coupling are widely observed in advanced electro-mechanical systems such as piezoelectric energy harvesters. Existing strongly coupled analysis methods based on direct numerical modeling for this phenomenon can be classified into partitioned or monolithic formulations. Each formulation has its advantages and disadvantages, and the choice depends on the characteristics of each coupled problem. This study proposes a new option: a coupled analysis strategy that combines the best features of the existing formulations, namely, the hybrid partitioned-monolithic method. The analysis of inverse piezoelectricity and the monolithic analysis of direct piezoelectric More >

  • Open Access

    ARTICLE

    Modeling the Interaction between Vacancies and Grain Boundaries during Ductile Fracture

    Mingjian Li, Ping Yang*, Pengyang Zhao

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 2019-2034, 2024, DOI:10.32604/cmes.2024.048334

    Abstract The experimental results in previous studies have indicated that during the ductile fracture of pure metals, vacancies aggregate and form voids at grain boundaries. However, the physical mechanism underlying this phenomenon remains not fully understood. This study derives the equilibrium distribution of vacancies analytically by following thermodynamics and the micromechanics of crystal defects. This derivation suggests that vacancies cluster in regions under hydrostatic compression to minimize the elastic strain energy. Subsequently, a finite element model is developed for examining more general scenarios of interaction between vacancies and grain boundaries. This model is first verified and More >

  • Open Access

    ARTICLE

    Enhancing Relational Triple Extraction in Specific Domains: Semantic Enhancement and Synergy of Large Language Models and Small Pre-Trained Language Models

    Jiakai Li, Jianpeng Hu*, Geng Zhang

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2481-2503, 2024, DOI:10.32604/cmc.2024.050005

    Abstract In the process of constructing domain-specific knowledge graphs, the task of relational triple extraction plays a critical role in transforming unstructured text into structured information. Existing relational triple extraction models face multiple challenges when processing domain-specific data, including insufficient utilization of semantic interaction information between entities and relations, difficulties in handling challenging samples, and the scarcity of domain-specific datasets. To address these issues, our study introduces three innovative components: Relation semantic enhancement, data augmentation, and a voting strategy, all designed to significantly improve the model’s performance in tackling domain-specific relational triple extraction tasks. We first… More >

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