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  1. 3721

    Study on the Mechanical Properties and Thermal Conductivity of Cotton Stalk Fiber Heat-Insulating Shotcrete by Guangcheng Liu, Weijing Yao, Jianyong Pang

    Published 2022-01-01
    “…The shotcrete was composed of cotton rod fiber treated with polyvinyl alcohol solution (SH adhesive) and other materials in a certain mix ratio. The working, mechanical, and heat insulation properties of the shotcrete were investigated by compressive strength, splitting tensile, thermal conductivity, electron microscope scanning, and X-ray diffraction tests. …”
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  2. 3722

    Temperature-dependent toxicity and mechanisms of florfenicol on the embryonic development of marine medaka (Oryzias melastigma) by Xingying Guo, Xu Gong, Jinhui Wang, Tan-Duc Nguyen, Syed Shabi Ul Hassan Kazmi, Jiezhang Mo, Feng Hua, Wenhua Liu, Zhen Wang

    Published 2025-01-01
    “…This study aimed to investigate the toxic effects and potential mechanisms of florfenicol (0.5, 10, 100, 500 and 1000 μg/L) on the embryonic development of marine medaka (Oryzias melastigma) through 21-d experiment under three temperature exposure scenarios (20, 25, and 30 °C). …”
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  3. 3723
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  5. 3725

    Modeling and Simulation of Flexible Transmission Mechanism with Multiclearance Joints for Ultrahigh Voltage Circuit Breakers by Fangang Meng, Shijing Wu, Fan Zhang, Zenglei Zhang, Jicai Hu, Xiaoyong Li

    Published 2015-01-01
    “…The transmission mechanism, of which the dynamic characteristics determine the reliability of the circuit breaker, is the principal component of the ultrahigh voltage (UHV) circuit breaker. …”
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  6. 3726

    Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy by Zhi Zhang, Jianbao Gao, Shuaishuai Wei, Bo Song, Yonggang Yao, Xu Zheng, Yuanjie Zhang, Lei Zhang, Qiaojiao Li, Jiafeng Wu, Yusheng Shi

    Published 2025-12-01
    “…The mechanical-superelastic were highly related to orientation, the martensite-inspired microlattice metamaterial in the x-axis loading direction (M-x) possessed higher mechanical properties than that of the martensite-inspired microlattice metamaterials in the z-axis loading direction (M-z). …”
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  11. 3731

    Stress and Traditional Support: The Role of Orphans’ and Vulnerable Children’s Primary Caregivers in Rural Ethiopia by Aweke Tadesse, Kenan Li, Jesse Helton

    Published 2025-01-01
    “…Background/Objectives: Orphans’ and Vulnerable Children’s (OVC) primary caregivers (PCGs) in Ethiopia live with multiple social and emotional problems stemming from extreme poverty, war, environmental disasters, and the HIV pandemic. …”
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  12. 3732
  13. 3733

    Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

    Published 2023-02-01
    “…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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  14. 3734

    Damage of bamboo and wooden materials based on linear elastic fracture mechanics in garden design by Tang Haiyan

    Published 2016-01-01
    Subjects: “…Strengthening and toughening mechanism…”
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  19. 3739

    Tomato mitogen-activated protein kinase: mechanisms of adaptation in response to biotic and abiotic stresses by Yumei Shi, Zhifang Zhang, Zhenghao Yan, Honglong Chu, Changxin Luo

    Published 2025-02-01
    “…Plants live under various biotic and abiotic stress conditions, and to cope with the adversity and severity of these conditions, they have developed well-established resistance mechanisms. These mechanisms begin with the perception of stimuli, followed by molecular, biochemical, and physiological adaptive measures. …”
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  20. 3740

    Study on the Effects and Mechanisms of Action of Biological Enzymes on the Quality of Summer Rock Tea Extract by Zixuan Wang, Bo Yang, Peng Zhou, Guang Yang, Zhijun Zhao

    Published 2024-12-01
    “…The effects of single and combined enzymes on the taste of the tea extracts and their mechanisms of action were analyzed. Compared with the no-enzyme-treated sample, the sensory score results showed that tannase was the most effective, increasing the bitterness and astringency scores by 113.9% and 255.3%, respectively. …”
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