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  • Open Access

    ARTICLE

    Contamination Identification of Lentinula Edodes Logs Based on Improved YOLOv5s

    Xuefei Chen1, Wenhui Tan2, Qiulan Wu1,*, Feng Zhang1, Xiumei Guo1, Zixin Zhu1

    Intelligent Automation & Soft Computing, Vol.37, No.3, pp. 3143-3157, 2023, DOI:10.32604/iasc.2023.040903 - 11 September 2023

    Abstract In order to improve the accuracy and efficiency of Lentinula edodes logs contamination identification, an improved YOLOv5s contamination identification model for Lentinula edodes logs (YOLOv5s-CGGS) is proposed in this paper. Firstly, a CA (coordinate attention) mechanism is introduced in the feature extraction network of YOLOv5s to improve the identifiability of Lentinula edodes logs contamination and the accuracy of target localization. Then, the CIoU (Complete-IOU) loss function is replaced by an SIoU (SCYLLA-IoU) loss function to improve the model’s convergence speed and inference accuracy. Finally, the GSConv and GhostConv modules are used to improve and optimize More >

  • Open Access

    ARTICLE

    Remediation of Cu Contaminated Soil by Fe78Si9B13AP Permeability Reaction Barrier Combined with Electrokinetic Method

    Liefei Pei1,2, Xiangyun Zhang1, Zizhou Yuan1,*

    Journal of Renewable Materials, Vol.11, No.6, pp. 2969-2983, 2023, DOI:10.32604/jrm.2023.025760 - 27 April 2023

    Abstract Iron-based amorphous crystalline powder Fe78Si9B13AP is used as a permeability reaction barrier (PRB) combined with an electrokinetic method (EK-PRB) to study the removal rate of Cu in contaminated soil. After treating Cucontaminated soil for 5 days under different voltage gradients and soil water content, the soil pH is between 3.1 and 7.2. The increase of voltage gradient and soil water content can effectively promote the movement of Cu2+ to the cathode. The voltage gradient is 3 V/cm, and the water content of 40% is considered to be an optional experimental condition. Therefore, under this condition, the More >

  • Open Access

    ARTICLE

    Numerical Simulation of Contamination Accumulation Characteristics of Composite Insulators in Salt Fog Environment

    Yukun Lv, Zeze Chen*, Quanzhi Ge, Qian Wang, Yazhao Zhang

    Energy Engineering, Vol.120, No.2, pp. 483-499, 2023, DOI:10.32604/ee.2023.023649 - 29 November 2022

    Abstract To investigate the fouling characteristics of the composite insulator surface under the salt fog environment, the FXBW-110/120-2 composite insulator was taken as the research object. Based on the field-induced charge mechanism, the multi-physical field coupling software COMSOL was used to numerically simulate the fouling characteristics, explored the calculation method of ESDD, and demonstrated its rationality. Based on this method, the pollution characteristics of the composite insulator under the pollution fog environment were studied, and the influence of wind speed, droplet size, and voltage type on the pollution characteristics of the composite insulator was analyzed. The More > Graphic Abstract

    Numerical Simulation of Contamination Accumulation Characteristics of Composite Insulators in Salt Fog Environment

  • Open Access

    ARTICLE

    Q-Learning-Based Pesticide Contamination Prediction in Vegetables and Fruits

    Kandasamy Sellamuthu*, Vishnu Kumar Kaliappan

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 715-736, 2023, DOI:10.32604/csse.2023.029017 - 16 August 2022

    Abstract Pesticides have become more necessary in modern agricultural production. However, these pesticides have an unforeseeable long-term impact on people's wellbeing as well as the ecosystem. Due to a shortage of basic pesticide exposure awareness, farmers typically utilize pesticides extremely close to harvesting. Pesticide residues within foods, particularly fruits as well as veggies, are a significant issue among farmers, merchants, and particularly consumers. The residual concentrations were far lower than these maximal allowable limits, with only a few surpassing the restrictions for such pesticides in food. There is an obligation to provide a warning about this… More >

  • Open Access

    REVIEW

    Validation of Symptom Dimensions and Sub-Type Responses in Cognitive Behavioral Therapy in Obsessive Compulsive Disorder: A Systemic Review and Meta-Analysis

    Xuan Liu1,2,3, Xiangyun Yang1,2, Pengchong Wang1,2, Zhanjiang Li1,2,*

    International Journal of Mental Health Promotion, Vol.24, No.6, pp. 843-854, 2022, DOI:10.32604/ijmhp.2022.021009 - 28 September 2022

    Abstract Background: Obsessive-compulsive disorder (OCD) is a clinically heterogeneous condition without a conclusive subtype dimension. This study will focus on the meta-analysis of the clinical responses of OCD subtypes to cognitive behavioral therapy (CBT), which might clarify this issue. Methods: We performed a systematic search and a meta-analysis for the studies of OCD subtypes and the response to CBT in PubMed, ScienceDirect, Embase, Web of Science, and Scopus databases. The selective criteria were the OCD without significant medical or psychiatric co-morbidities and pre-and post-treatment changes in scores of OCD dimension. In addition, different subtypes of OCD… More >

  • Open Access

    REVIEW

    Heavy Metal/Metalloid Indexing and Balances in Agricultural Soils: Methodological Approach for Research

    Shahid Hussain*

    Phyton-International Journal of Experimental Botany, Vol.91, No.12, pp. 2687-2697, 2022, DOI:10.32604/phyton.2022.021158 - 29 August 2022

    Abstract Heavy metal(loid) accumulation in agricultural soils is a threat to the soil capacity, quality, and productivity. It also increases human exposure to heavy metal(loid)s via consumption of contaminated plant-based foods. The detrimental effects of soil contamination also deteriorate the environment of plants and animals. For sustainable agriculture, therefore, the soil must be protected from toxic levels of heavy metal(loid)s. Studies on heavy metal(loid) balances in agricultural soils are important in predicting future risks to sustainable production from agro-ecological zones and human exposure to heavy metal(loid)s. The latest and continuous indexing of the problem seems a More >

  • Open Access

    ARTICLE

    Solar Image Cloud Removal based on Improved Pix2Pix Network

    Xukun Zhang1, Wei Song1,2,3,*, Ganghua Lin2,4, Yuxi Shi5

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6181-6193, 2022, DOI:10.32604/cmc.2022.027215 - 28 July 2022

    Abstract In ground-based observations of the Sun, solar images are often affected by appearance of thin clouds, which contaminate the images and affect the scientific results from data analysis. In this paper, the improved Pixel to Pixel Network (Pix2Pix) network is used to convert polluted images to clear images to remove the cloud shadow in the solar images. By adding attention module to the model, the hidden layer of Pix2Pix model can infer the attention map of the input feature vector according to the input feature vector. And then, the attention map is multiplied by the… More >

  • Open Access

    ARTICLE

    Dust Deposition’s Effect on Solar Photovoltaic Module Performance: An Experimental Study in India’s Tropical Region

    K. R. Chairma Lakshmi*, Geetha Ramadas

    Journal of Renewable Materials, Vol.10, No.8, pp. 2133-2153, 2022, DOI:10.32604/jrm.2022.019649 - 25 April 2022

    Abstract A solar PV panel works with maximum efficiency only when it is operated around its optimum operating point or maximum power point. Unfortunately, the performance of the solar cell is affected by several factors like sun direction, solar irradiance, dust accumulation, module temperature, as well as the load on the system. Dust deposition is one of the most prominent factors that influence the performance of solar panels. Because the solar panel is exposed to the atmosphere, dust will accumulate on its surface, reducing the quantity of sunlight reaching the solar cell and diminishing output. In… More >

  • Open Access

    ARTICLE

    Rapid Immobilization of Transferable Ni in Soil by Fe78Si9B13 Amorphous Zero-Valent Iron

    Liefei Pei, Xiangyun Zhang, Zizhou Yuan*

    Journal of Renewable Materials, Vol.10, No.4, pp. 955-968, 2022, DOI:10.32604/jrm.2022.016961 - 02 November 2021

    Abstract Fe-Si-B amorphous zero-valent iron has attracted wide attention because of its efficient remediation of heavy metals and dye wastewater. In this paper, the remediation effect of amorphous zero-valent iron powder (Fe78Si9B13AP) on Ni contaminated soil was investigated. Results show that the immobilization efficiency of nickel in soil by Fe78Si9B13AP with low iron content is higher than that by ZVI. The apparent activation energies of the reactions of Fe78Si9B13AP with Ni2+ ions is 25.31 kJ/mol. After continuing the reaction for 7 days, Ni2+ ions is mainly transformed into monoplasmatic nickel (Ni0) and nickel combined with iron (hydroxide) oxides. Microstructure More >

  • Open Access

    ARTICLE

    Aging Characteristics and Influencing Factors of the Sheds of Composite Insulators in Karst Regions of China

    Wei Zhao1, Miao Jiang2, Jun Dong1, Lee Li2,*

    Energy Engineering, Vol.118, No.6, pp. 1755-1766, 2021, DOI:10.32604/EE.2021.015467 - 10 September 2021

    Abstract In recent years, more and more high-voltage overhead transmission lines were built passing through the karst regions in southwestern China. This type of special landform seems to have an adverse effect on the aging of the sheds of the line suspension composite insulators, which may lead to unexpected flashover and line tripping. In order to find out the particularity of the aging characteristics of insulators operating in the karst regions, samples in operation were selected from both the karst regions and the flatlands. Hydrophobicity, amount of surface contamination, and contaminant composition of the sheds were… More >

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