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  • Open Access

    ARTICLE

    BTG2 interference ameliorates high glucose-caused oxidative stress, cell apoptosis, and lipid deposition in HK-2 cells

    WENJUAN ZHU1, ZHENGZHENG JU2, FAN CUI2,*

    BIOCELL, Vol.48, No.9, pp. 1379-1388, 2024, DOI:10.32604/biocell.2024.052205 - 04 September 2024

    Abstract Objective: Diabetic nephropathy (DN) is a deleterious microangiopathy of diabetes, constituting a critical determinant of fatality in diabetic patients. This work is purposed to disclose the effects and modulatory mechanism of BTG anti-proliferation factor 2 (BTG2) during the pathological process of DN. Methods: BTG2 expression in kidney tissues of diabetic mice and high glucose (HG)-exposed human proximal tubular cell line HK-2 was assessed with Western blot and RT-qPCR. The diabetic mice model was constructed by streptozotocin injection and confirmed by the blood glucose level beyond 16.7 mmol/L. Hematoxylin and eosin (H&E) staining and measurement of… More >

  • Open Access

    ARTICLE

    Modeling and Analysis of OFDMA-NOMA-RA Protocol Considering Imperfect SIC in Multi-User Uplink WLANs

    Hailing Yang1, Suoping Li1,2,*, Duo Peng2

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5273-5294, 2024, DOI:10.32604/cmc.2024.050869 - 20 June 2024

    Abstract To address the problems of network congestion and spectrum resources shortage in multi-user large-scale scenarios, this paper proposes a twice random access OFDMA-NOMA-RA protocol combining the advantages of orthogonal frequency division multiple access (OFDMA) and non-orthogonal multiple access (NOMA). The idea of this protocol is that OFMDA is used to divide the entire frequency field into multiple orthogonal resource units (RUs), and NOMA is used on each RU to enable more users to access the channel and improve spectrum efficiency. Based on the protocol designed in this paper, in the case of imperfect successive interference… More >

  • Open Access

    ARTICLE

    Damage Diagnosis of Bleacher Based on an Enhanced Convolutional Neural Network with Training Interference

    Chaozhi Cai*, Xiaoyu Guo, Yingfang Xue, Jianhua Ren

    Structural Durability & Health Monitoring, Vol.18, No.3, pp. 321-339, 2024, DOI:10.32604/sdhm.2024.045831 - 15 May 2024

    Abstract Bleachers play a crucial role in practical engineering applications, and any damage incurred during their operation poses a significant threat to the safety of both life and property. Consequently, it becomes imperative to conduct damage diagnosis and health monitoring of bleachers. The intricate structure of bleachers, the varied types of potential damage, and the presence of similar vibration data in adjacent locations make it challenging to achieve satisfactory diagnosis accuracy through traditional time-frequency analysis methods. Furthermore, field environmental noise can adversely impact the accuracy of bleacher damage diagnosis. To enhance the accuracy and anti-noise capabilities… More > Graphic Abstract

    Damage Diagnosis of Bleacher Based on an Enhanced Convolutional Neural Network with Training Interference

  • Open Access

    ARTICLE

    Optimal Scheduling of Multiple Rail Cranes in Rail Stations with Interference Crane Areas

    Nguyen Vu Anh Duy, Nguyen Le Thai, Nguyen Huu Tho*

    Intelligent Automation & Soft Computing, Vol.39, No.1, pp. 15-31, 2024, DOI:10.32604/iasc.2024.038272 - 29 March 2024

    Abstract In this paper, we consider a multi-crane scheduling problem in rail stations because their operations directly influence the throughput of the rail stations. In particular, the job is not only assigned to cranes but also the job sequencing is implemented for each crane to minimize the makespan of cranes. A dual cycle of cranes is used to minimize the number of working cycles of cranes. The rail crane scheduling problems in this study are based on the movement of containers. We consider not only the gantry moves, but also the trolley moves as well as More >

  • Open Access

    ARTICLE

    Smad8 is involvement in follicular development via the regulation of granulosa cell growth and steroidogenesis in mice

    DAOLUN YU1, DEYONG SHE2, KAI GE1, LEI YANG1, RUINA ZHAN1, SHAN LU3,*, YAFEI CAI4,*

    BIOCELL, Vol.48, No.1, pp. 139-147, 2024, DOI:10.32604/biocell.2023.045884 - 30 January 2024

    Abstract Background: SMAD family proteins (SMADs) are crucial transcription factors downstream of transforming growth factor beta (TGF-ß)/SMAD signaling pathways that have been reported to play a pivotal role in mammalian reproduction. However, the role of SMAD family member 8 (SMAD8, also known as SMAD9), a member of the SMAD family, in mammalian reproduction remains unclear. Methods: We employed RNA interference techniques to knock down Smad8 expression in mouse granulosa cells (GCs) to investigate the effects of Smad8 on GC growth and steroidogenesis. Results: Our findings revealed a significant decrease in the proliferative capacity and a substantial increase in… More >

  • Open Access

    ARTICLE

    Factors Influencing Fracture Propagation in Collaborative Fracturing of Multiple Horizontal Wells

    Diguang Gong1, Junbin Chen1, Cheng Cheng2, Yuanyuan Kou2,*

    Energy Engineering, Vol.121, No.2, pp. 425-437, 2024, DOI:10.32604/ee.2023.030196 - 25 January 2024

    Abstract Horizontal well-stimulation is the key to unconventional resource exploration and development. The development mode of the well plant helps increase the stimulated reservoir volume. Nevertheless, fracture interference between wells reduces the fracturing effect. Here, a 2D hydro-mechanical coupling model describing hydraulic fracture (HF) propagation is established with the extended finite element method, and the effects of several factors on HF propagation during multiple wells fracturing are analyzed. The results show that with an increase in elastic modulus, horizontal principal stress difference and injection fluid displacement, the total fracture area and the reservoir stimulation efficiency are More >

  • Open Access

    ARTICLE

    A New Strategy for Dynamic Channel Allocation in CR-WMN Based on RCA

    Kaleem Arshid1,*, Jianbiao Zhang1, Muhammad Yaqub1, Mohammad Daud Awan2, Habiba Ijaz3, Imran Shabir Chuhan4

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2631-2647, 2023, DOI:10.32604/cmc.2023.035735 - 08 October 2023

    Abstract Channel assignment has emerged as an essential study subject in Cognitive Radio-based Wireless Mesh Networks (CR-WMN). In an era of alarming increase in Multi-Radio Multi-Channel (MRMC) network expansion interference is decreased and network throughput is significantly increased when non-overlapping or partially overlapping channels are correctly integrated. Because of its ad hoc behavior, dynamic channel assignment outperforms static channel assignment. Interference reduces network throughput in the CR-WMN. As a result, there is an extensive research gap for an algorithm that dynamically distributes channels while accounting for all types of interference. This work presents a method for More >

  • Open Access

    ARTICLE

    Horizontal Well Interference Performance and Water Injection Huff and Puff Effect on Well Groups with Complex Fracture Networks: A Numerical Study

    Haoyu Fu1,2,3, Hua Liu1,2, Xiaohu Hu1,2, Lei Wang1,2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2285-2309, 2023, DOI:10.32604/cmes.2023.027996 - 03 August 2023

    Abstract Well interference has become a common phenomenon with the increasing scale of horizontal well fracturing. Recent studies on well interference in horizontal wells do not properly reflect the physical model of the postfracturing well groups and the realistic fracturing process of infill wells. Establishing the correspondence between well interference causative factors and manifestations is of great significance for infill well deployment and secondary oil recovery. In this work, we develop a numerical model that considers low velocity non-Darcy seepage in shale reservoirs to study the inter-well interference phenomenon that occurs in the Santanghu field, and… More >

  • Open Access

    ARTICLE

    Contrastive Clustering for Unsupervised Recognition of Interference Signals

    Xiangwei Chen1, Zhijin Zhao1,2,*, Xueyi Ye1, Shilian Zheng2, Caiyi Lou2, Xiaoniu Yang2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1385-1400, 2023, DOI:10.32604/csse.2023.034543 - 09 February 2023

    Abstract Interference signals recognition plays an important role in anti-jamming communication. With the development of deep learning, many supervised interference signals recognition algorithms based on deep learning have emerged recently and show better performance than traditional recognition algorithms. However, there is no unsupervised interference signals recognition algorithm at present. In this paper, an unsupervised interference signals recognition method called double phases and double dimensions contrastive clustering (DDCC) is proposed. Specifically, in the first phase, four data augmentation strategies for interference signals are used in data-augmentation-based (DA-based) contrastive learning. In the second phase, the original dataset’s k-nearest… More >

  • Open Access

    ARTICLE

    A Double-Ended Protection Principle for an LCC-VSC-MTDC System with Strong Anti-Interference Ability

    Chuanjian Wu, Dahai Zhang*, Jinghan He

    Energy Engineering, Vol.120, No.2, pp. 299-316, 2023, DOI:10.32604/ee.2023.023532 - 29 November 2022

    Abstract The DC grid technology of multi-power supply and multi-drop-point power reception is an effective solution for large-scale renewable energy integration into the power grid. Line-commutated converter-Voltage source converter (LCC-VSC) power grids are one of the more important developmental directions of the future power grid that have occured in recent years. But the multi-terminal high voltage direct current system has the problems of inconsistent boundary characteristics, inconsistent control, and fault response characteristics, which puts higher requirements on the protection scheme. Thus, a completely new protection principle is proposed in this paper. Firstly, the fault characteristics of… More >

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