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  • Open Access

    ARTICLE

    Mechanical Behavior of Panels Reinforced with Orthogonal Plant Fabrics: Experimental and Numerical Assessment

    Martha L. Sánchez1,*, G. Capote2

    Journal of Renewable Materials, Vol.12, No.10, pp. 1791-1810, 2024, DOI:10.32604/jrm.2024.055122 - 23 October 2024

    Abstract The construction sector is one of the main sources of pollution, due to high energy consumption and the toxic substances generated during the processing and use of traditional materials. The production of cement, steel, and other conventional materials impacts both ecosystems and human health, increasing the demand for ecological and biodegradable alternatives. In this paper, we analyze the properties of panels made from a combination of plant fibers and castor oil resin, analyzing the viability of their use as construction material. For the research, orthogonal fabrics made with waste plant fibers supplied by a company… More >

  • Open Access

    ARTICLE

    Assessment of Operational Performance in a Power Generation/Selling Integrated Company Using a Dynamic Proportional Adjustment Coefficient

    Jingbin Wu1,*, Hongming Yang2, Sheng Xiang2

    Energy Engineering, Vol.121, No.11, pp. 3263-3287, 2024, DOI:10.32604/ee.2024.054019 - 21 October 2024

    Abstract Currently, the operational performance assessment system in the power market primarily focuses on power generation and electricity retail companies, lacking a system tailored to the operational characteristics of power generation/selling integrated companies. Therefore, this article proposes an assessment index system for assessing the operational performance of a power generation/selling integrated company, encompassing three dimensions: basic capacity, development potential, and external environment. A dynamic proportional adjustment coefficient is designed, along with a subjective and objective weighting model for assessment indexes based on a combined weighting method. Subsequently, the operational performance of an integrated company is assessed More > Graphic Abstract

    Assessment of Operational Performance in a Power Generation/Selling Integrated Company Using a Dynamic Proportional Adjustment Coefficient

  • Open Access

    ARTICLE

    Distributed Robust Scheduling Optimization of Wind-Thermal-Storage System Based on Hybrid Carbon Trading and Wasserstein Fuzzy Set

    Gang Wang*, Yuedong Wu, Xiaoyi Qian, Yi Zhao

    Energy Engineering, Vol.121, No.11, pp. 3417-3435, 2024, DOI:10.32604/ee.2024.052268 - 21 October 2024

    Abstract A robust scheduling optimization method for wind–fire storage system distribution based on the mixed carbon trading mechanism is proposed to improve the rationality of carbon emission quota allocation while reducing the instability of large-scale wind power access systems. A hybrid carbon trading mechanism that combines short-term and long-term carbon trading is constructed, and a fuzzy set based on Wasserstein measurement is proposed to address the uncertainty of wind power access. Moreover, a robust scheduling optimization method for wind–fire storage systems is formed. Results of the multi scenario comparative analysis of practical cases show that the More >

  • Open Access

    ARTICLE

    Is ypTNM staging a comparable predictor as pTNM staging for survival in non-metastatic rectal cancer after preoperative chemoradiation therapy?

    JEN-PIN CHUANG1,2,3, HSIANG-LIN TSAI4,5, WEI-CHIH SU4,6,7, PO-JUNG CHEN4,6, CHING-WEN HUANG4,5, TSUNG-KUN CHANG4,6,7, YEN-CHENG CHEN4,6, CHING-CHUN LI4,8, YUNG-SUNG YEH4,9,10, TZU-CHIEH YIN4,5,11, JAW-YUAN WANG4,5,6,12,13,*

    Oncology Research, Vol.32, No.11, pp. 1723-1732, 2024, DOI:10.32604/or.2024.052098 - 16 October 2024

    Abstract Background: The pTNM staging system is widely recognized as the most effective prognostic indicator for cancer. The latest update of this staging system introduced a new pathological staging system (ypTNM) for patients receiving neoadjuvant chemoradiotherapy (NACRT). However, whether the prognostic value of the ypTNM staging system for rectal cancer is similar to that of the pTNM staging system remains unclear. This study was conducted to compare the ypTNM and pTNM staging systems in terms of their prognostic value for patients with nonmetastatic rectal cancer undergoing proctectomy. Material and Methods: This study was conducted at a large teaching… More >

  • Open Access

    ARTICLE

    Unveiling the therapeutic potential: KBU2046 halts triple-negative breast cancer cell migration by constricting TGF-β1 activation in vitro

    JINXIA CHEN1,2,3,#, SULI DAI1,2,#, GENG ZHANG4,5, SISI WEI1,2, XUETAO ZHAO3, YANG ZHENG1,2, YAOJIE WANG1,2, XIAOHAN WANG1,2, YUNJIANG LIU4,5,*, LIANMEI ZHAO1,2,*

    Oncology Research, Vol.32, No.11, pp. 1791-1802, 2024, DOI:10.32604/or.2024.049348 - 16 October 2024

    Abstract Background: Triple-negative breast cancer (TNBC) is a heterogeneous, recurring cancer characterized by a high rate of metastasis, poor prognosis, and lack of efficient therapies. KBU2046, a small molecule inhibitor, can inhibit cell motility in malignant tumors, including breast cancer. However, the specific targets and the corresponding mechanism of its function remain unclear. Methods: In this study, we employed (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H tetrazolium) (MTS) assay and transwell assay to investigate the impact of KBU2046 on the proliferation and migration of TNBC cells in vitro. RNA-Seq was used to explore the targets of KBU2046 that inhibit the motility of TNBC.… More > Graphic Abstract

    Unveiling the therapeutic potential: KBU2046 halts triple-negative breast cancer cell migration by constricting TGF-β1 activation <i>in vitro</i>

  • Open Access

    ARTICLE

    CircTIAM1 overexpression promotes the progression of papillary thyroid cancer by regulating the miR-338-3p/LASP1 axis

    YE ZHANG1, YANAN LIANG2, YAN WU2, LIWEN SONG2, ZUWANG ZHANG2,*

    Oncology Research, Vol.32, No.11, pp. 1747-1763, 2024, DOI:10.32604/or.2024.030945 - 16 October 2024

    Abstract Background: Papillary thyroid cancer (PTC) is the most prevalent histological type of differentiated thyroid malignancy. Circular RNAs (circRNAs) have been implicated in the pathogenesis and progression of various cancers. circTIAM1 (hsa_circ_0061406) is a novel circRNA with aberrant expression in PTC. However, its functional roles in PTC progression remain to be investigated. Methods: The expression levels of circTIAM1 in the PTC and the matched para-cancerous tissues were detected by quantitative real-time reverse-transcription PCR (qRT-PCR). The subcellular localization of circTIAM1 was examined by fluorescence in-situ hybridization (FISH). Kaplan-Meier plot was used to analyze the association of clinicopathological features… More >

  • Open Access

    ARTICLE

    Human Interaction Recognition in Surveillance Videos Using Hybrid Deep Learning and Machine Learning Models

    Vesal Khean1, Chomyong Kim2, Sunjoo Ryu2, Awais Khan1, Min Kyung Hong3, Eun Young Kim4, Joungmin Kim5, Yunyoung Nam3,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 773-787, 2024, DOI:10.32604/cmc.2024.056767 - 15 October 2024

    Abstract Human Interaction Recognition (HIR) was one of the challenging issues in computer vision research due to the involvement of multiple individuals and their mutual interactions within video frames generated from their movements. HIR requires more sophisticated analysis than Human Action Recognition (HAR) since HAR focuses solely on individual activities like walking or running, while HIR involves the interactions between people. This research aims to develop a robust system for recognizing five common human interactions, such as hugging, kicking, pushing, pointing, and no interaction, from video sequences using multiple cameras. In this study, a hybrid Deep… More >

  • Open Access

    ARTICLE

    Continual Reinforcement Learning for Intelligent Agricultural Management under Climate Changes

    Zhaoan Wang1, Kishlay Jha2, Shaoping Xiao1,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1319-1336, 2024, DOI:10.32604/cmc.2024.055809 - 15 October 2024

    Abstract Climate change poses significant challenges to agricultural management, particularly in adapting to extreme weather conditions that impact agricultural production. Existing works with traditional Reinforcement Learning (RL) methods often falter under such extreme conditions. To address this challenge, our study introduces a novel approach by integrating Continual Learning (CL) with RL to form Continual Reinforcement Learning (CRL), enhancing the adaptability of agricultural management strategies. Leveraging the Gym-DSSAT simulation environment, our research enables RL agents to learn optimal fertilization strategies based on variable weather conditions. By incorporating CL algorithms, such as Elastic Weight Consolidation (EWC), with established… More >

  • Open Access

    ARTICLE

    Graph Attention Residual Network Based Routing and Fault-Tolerant Scheduling Mechanism for Data Flow in Power Communication Network

    Zhihong Lin1, Zeng Zeng2, Yituan Yu2, Yinlin Ren1, Xuesong Qiu1,*, Jinqian Chen1

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1641-1665, 2024, DOI:10.32604/cmc.2024.055802 - 15 October 2024

    Abstract For permanent faults (PF) in the power communication network (PCN), such as link interruptions, the time-sensitive networking (TSN) relied on by PCN, typically employs spatial redundancy fault-tolerance methods to keep service stability and reliability, which often limits TSN scheduling performance in fault-free ideal states. So this paper proposes a graph attention residual network-based routing and fault-tolerant scheduling mechanism (GRFS) for data flow in PCN, which specifically includes a communication system architecture for integrated terminals based on a cyclic queuing and forwarding (CQF) model and fault recovery method, which reduces the impact of faults by simplified… More >

  • Open Access

    ARTICLE

    A Task Offloading Strategy Based on Multi-Agent Deep Reinforcement Learning for Offshore Wind Farm Scenarios

    Zeshuang Song1, Xiao Wang1,*, Qing Wu1, Yanting Tao1, Linghua Xu1, Yaohua Yin2, Jianguo Yan3

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 985-1008, 2024, DOI:10.32604/cmc.2024.055614 - 15 October 2024

    Abstract This research is the first application of Unmanned Aerial Vehicles (UAVs) equipped with Multi-access Edge Computing (MEC) servers to offshore wind farms, providing a new task offloading solution to address the challenge of scarce edge servers in offshore wind farms. The proposed strategy is to offload the computational tasks in this scenario to other MEC servers and compute them proportionally, which effectively reduces the computational pressure on local MEC servers when wind turbine data are abnormal. Finally, the task offloading problem is modeled as a multi-intelligent deep reinforcement learning problem, and a task offloading model… More >

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