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  • Open Access

    ARTICLE

    Melt Extrusion of Environmentally Friendly Poly(L-lactic acid)/Sodium Metabisulfite Films for Antimicrobial Packaging Applications

    Norma M. P. Machado1, Gustavo C. Melo1, Matheus F. Camargo1, Giulianna G. Feijó1, Bruna M. S. Putton2, Clarice Steffens2, Rogerio L. Cansian2, Luiz A. Pessan1, Francys K. V. Moreira1,*

    Journal of Renewable Materials, Vol.9, No.2, pp. 337-349, 2021, DOI:10.32604/jrm.2021.011081

    Abstract Food packaging materials compounded with antimicrobial additives can substantially diminish the incidence of foodborne diseases. Here, poly(L-lactic acid) (PLA) films containing sodium metabisulfite (NaM) were produced by melt extrusion as an attempt to develop a new biodegradable material with antimicrobial properties for packaging. Life cycle assessment (LCA) simulations revealed that the environmental footprints of the PLA film did not change upon NaM addition, and that NaM is more eco-friendly than silver nanoparticles. The PLA/NaM films with NaM content varying from 0.5 to 5.0 wt.% were characterized by differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and optical and mechanical properties determinations.… More >

  • Open Access

    ARTICLE

    The Dynamic Experiment on Treating Acid Mine Drainage with Iron Scrap and Sulfate Reducing Bacteria Using Biomass Materials as Carbon Source

    Xianjun Wang1, Junzhen Di1,*, Yanrong Dong1, Yu Yang1, Bing Liang2, Fankang Meng1, Tingting Wang1, Wenbo An1, Zengxin Li3, Jianzhi Guo3

    Journal of Renewable Materials, Vol.9, No.1, pp. 163-177, 2021, DOI:10.32604/jrm.2021.011678

    Abstract

    The study is aimed at the problem of high content of Cr6+, Cr3+ and SO42– is high and low pH value in acid mine drainage (AMD). Moreover, treatment of AMD by sulfate reducing bacteria (SRB) requires the addition of carbon source, while the treating effectiveness is not good enough on its own. The sugarcane slag, the corn cob and the sunflower straw were selected as the SRB carbon source cooperating with iron scrap to construct the dynamic columns 1, 2 and 3. The mechanism of removing Cr6+, Cr3+, SO42– and H+ and the regularity of sustained… More >

  • Open Access

    ARTICLE

    Green Energy Development System under the Background of Environmental Sustainability

    Qin Liu*, Ruliang Zhang

    Energy Engineering, Vol.118, No.1, pp. 173-187, 2021, DOI:10.32604/EE.2020.012788

    Abstract With the continuous advancement of economic globalization, energy demand is expanding and energy consumption is excessive, which leads to energy shortage. Unreasonable energy use also brings great challenges to the environment and affects the balance of the ecosystem seriously. The rise of the third industrial revolution has injected new vitality into energy system. The construction of energy Internet system, which integrates Internet technology and energy technology, has become a new energy system of sustainable development. It has put forward the reform scheme for the mismatch of energy demand points and environmental pollution. The deepening of sustainable development strategy accelerates the… More >

  • Open Access

    ARTICLE

    Straw Segmentation Algorithm Based on Modified UNet in Complex Farmland Environment

    Yuanyuan Liu1,2, Shuo Zhang1, Haiye Yu3, Yueyong Wang4,*, Yuehan Feng1, Jiahui Sun1, Xiaokang Zhou1

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 247-262, 2021, DOI:10.32604/cmc.2020.012328

    Abstract Intelligent straw coverage detection plays an important role in agricultural production and the ecological environment. Traditional pattern recognition has some problems, such as low precision and a long processing time, when segmenting complex farmland, which cannot meet the conditions of embedded equipment deployment. Based on these problems, we proposed a novel deep learning model with high accuracy, small model size and fast running speed named Residual Unet with Attention mechanism using depthwise convolution (RADw–UNet). This algorithm is based on the UNet symmetric codec model. All the feature extraction modules of the network adopt the residual structure, and the whole network… More >

  • Open Access

    ARTICLE

    Incidence, Risk Factors, and Outcomes of Hyperferritinemia after Pediatric Cardiac Surgery with Cardiopulmonary Bypass: A Retrospective Study

    Shengwen Guo, Yuanyuan Tong, Liting Bai, Peiyao Zhang, Xin Duan*, Jinping Liu*

    Congenital Heart Disease, Vol.15, No.5, pp. 275-285, 2020, DOI:10.32604/CHD.2020.011894

    Abstract Objective: Serum ferritin has been identified as a prognostic marker in patients with a variety of diseases. In the present study we aim to determine the prevalence of risk factors and outcomes for hyperferritinemia in children undergoing cardiac surgery with cardiopulmonary bypass for congenital heart defects. Methods: The serum ferritin levels of 457 children between the ages of twentyeight days and three years undergoing cardiopulmonary bypass surgery between June 1, 2017 and June 1, 2018 were analyzed. The prevalence of early postoperative hyperferritinemia was investigated; hyperferritinemia was defined as a ferritin level ≥250 ng/ml. Multivariable regression models including candidate risk… More >

  • Open Access

    ARTICLE

    Lightweight Mobile Clients Privacy Protection Using Trusted Execution Environments for Blockchain

    Jieren Cheng1, Jun Li2, *, Naixue Xiong3, Meizhu Chen2, Hao Guo2, Xinzhi Yao2

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2247-2262, 2020, DOI:10.32604/cmc.2020.011668

    Abstract Nowadays, as lightweight mobile clients become more powerful and widely used, more and more information is stored on lightweight mobile clients, user sensitive data privacy protection has become an urgent concern and problem to be solved. There has been a corresponding rise of security solutions proposed by researchers, however, the current security mechanisms on lightweight mobile clients are proven to be fragile. Due to the fact that this research field is immature and still unexplored in-depth, with this paper, we aim to provide a structured and comprehensive study on privacy protection using trusted execution environment (TEE) for lightweight mobile clients.… More >

  • Open Access

    ARTICLE

    "Data Mining of Urban New Energy Vehicles in an Intelligent Government Subsidy Environment Using Closed-Loop Supply Chain Pricing Model"

    Jing-Hua Zhao1,†, Da-Lin Zeng2,*, Ting-Wei Zhou1,‡, Ze-Chao Zhu1,§

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 151-172, 2020, DOI:10.32604/csse.2020.35.151

    Abstract Given the government subsidies for new energy vehicles, this study is conducted to study the closed-loop supply chain comprising individual manufacturers, individual retailers and individual third-party recyclers. In this paper, combine the reality of new energy vehicles with the relevant research of game theory, and establish an no government subsidy model (Model N), a government subsidized consumer model (Model C), a government subsidized manufacturer model (Model M), a government subsidized third party recycler model (Model T), and a government subsidized retailer model (Model R) for quantitative research. Then, numerical examples are used to simulate the impact of government subsidies on… More >

  • Open Access

    ARTICLE

    An Internet of Things Platform for Air Station Remote Sensing and Smart Monitoring

    David Corral-Plaza1, Juan Boubeta-Puig1, Guadalupe Ortiz1, Alfonso Garcia-de-Prado2,*

    Computer Systems Science and Engineering, Vol.35, No.1, pp. 5-12, 2020, DOI:10.32604/csse.2020.35.005

    Abstract Air pollution is currently receiving more attention by international governments and organizations. Nevertheless, current systems for air quality monitoring lack essential requirements which are key in order to be effective concerning users’ access to the information and efficient regarding real-time monitoring and notification. This paper presents an Internet of Things platform for air station remote sensing and smart monitoring that combines Big Data and Cloud Computing paradigms to process and correlate air pollutant concentrations coming from multiple remote stations, as well as to trigger automatic and personalized alerts when a health risk for their particular context is detected. This platform… More >

  • Open Access

    ARTICLE

    Implementation of Decision Trees as an Alternative for the Support in the Decisionmaking within an Intelligent System in Order to Automatize the Regulation of the Vocs in Non-Industrial Inside Environments

    Liliana Aguilar, Salvador W. Nava-Díaz, Gabriel Chavira

    Computer Systems Science and Engineering, Vol.34, No.5, pp. 297-303, 2019, DOI:10.32604/csse.2019.34.297

    Abstract Natural ventilation is a component that provides a positive impact in the quality of air conditions in indoor environments, especially in non-industrial buildings. The maintenance of a continuous entrance of outside air through windows provides to the indoor a feasible and affordable manner to regulate and sustain low standards in theVOC (Volatile Organic Compounds). The technology and the Human Computer-Interaction have contributed to the creation of Intelligent Environments (EI) that provides to humans being a positive and non-intrusive responsiveness of the environment to improve their quality of life in daily activities. The Decision Trees for Decision Making is a mathematical… More >

  • Open Access

    ARTICLE

    R&D Investment Enhance the Financial Performance of Company Driven by Big Data Computing and Analysis

    Erna Qi1,∗, Min Deng2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 237-248, 2019, DOI:10.32604/csse.2019.34.237

    Abstract The application of computer technology, especially the emergence of some statistical software and graphic presentation technology, has enabled many areas of research that require a large amount of data analysis. This paper discusses the relationship between R&D investment and corporate financial performance, and further studies the effect of environmental regulations on this relationship through these technologies. The unbalanced panel data of listed companies from 2007 to 2016 were used as a sample, and then corresponding regression modelswere established through logical reasoning. Empirical analysis has found that there is an inverted U-shaped relationship between R&D investment and company financial performance, and… More >

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