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  • Open Access

    ARTICLE

    Facile Synthesis of a Novel Bio-Based P-N Containing Flame Retardant for Effectively Reducing the Fire Hazards of Epoxy Resin

    Meixian Li1, Xin Hu1, Jie Yang1, Hongyu Yang1,3,*, Yao Yuan2,*

    Journal of Renewable Materials, Vol.10, No.10, pp. 2639-2654, 2022, DOI:10.32604/jrm.2022.019491 - 08 June 2022

    Abstract In this work, a bio-based flame retardant (Cy-HEDP) was synthesized from cytosine and HEDP through a facile salt-forming reaction and embedded into epoxy matrix to improve the flame retardancy and smoke suppression performance. The product Cy-HEDP was well characterized by FTIR, 1 H and 31P NMR and SEM tests. On the basis of the results, by adding 15 wt% Cy-HEDP, the EP15 can pass UL-94 V-0 rating, and the total smoke production (TSP) as well as total heat release (THR) can be decreased by 61.05% (from 22.61 to 8.7 m2 /m2 ) and 39.44% (from 103.19 to 62.50 More > Graphic Abstract

    Facile Synthesis of a Novel Bio-Based P-N Containing Flame Retardant for Effectively Reducing the Fire Hazards of Epoxy Resin

  • Open Access

    ARTICLE

    Identification of a new Hazelnut disease in Liaoning Province: Hazelnut husk brown rot

    JUN SUN1,*, MING XIE1, JIACHEN HAO1, NAN MAO1, LIJING CHEN2,*, YUANYUAN QIN3

    BIOCELL, Vol.46, No.9, pp. 2145-2149, 2022, DOI:10.32604/biocell.2022.020500 - 18 May 2022

    Abstract Hazelnut husk brown rot has been identified as a new disease in Liaoning Province in recent years. The objective of this study as to identify the pathogen. [Method] In this study, a standard sample of hazelnut husk brown rot was collected from Songmudao Base in Dalian City, Liaoning Province. The pathogen was identified by the studies of the morphology, pathogenicity, and analyses of ITS and LSU sequences. The pathogen was isolated and purified, which was confirmed by Koch’s postulates. The symptoms after inoculation were the same as those collected directly from a diseased tree, which More >

  • Open Access

    ARTICLE

    Effect of Paclobutrazol Application on Plant Growth and Flower Quality in Herbaceous Peony

    Yanqing Wu1,2, Jiao Liu1, Daqiu Zhao2, Jun Tao1,2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2017-2032, 2022, DOI:10.32604/phyton.2022.020643 - 13 May 2022

    Abstract Herbaceous peony (Paeonia lactiflora Pall.) is an important ornamental plant worldwide. In its natural state, P. lactiflora often manifests traits like rapidly elongating internodal growth, loose plant types, and soft inflorescence stems. However, very little has been known about the measures for controlling these traits. This study investigated the effect of applying paclobutrazol (PBZ) on the plant growth and flower quality in P. lactiflora. The results indicated that PBZ application reduced the plant height (8.05%), plant crown width (14.72%), and leaf area (10.90%), but increased the leaf thickness (18.18%) and stem diameter (over 11%) in P. lactiflora. Meanwhile, PBZ… More >

  • Open Access

    ARTICLE

    Dark and Bright Channel Priors for Haze Removal in Day and Night Images

    U. Hari, A. Ruhan Bevi*

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 957-967, 2022, DOI:10.32604/iasc.2022.023605 - 03 May 2022

    Abstract Removal of noise from images is very important as a clear, denoised image is essential for any application. In this article, a modified haze removal algorithm is developed by applying combined dark channel prior and multi-scale retinex theory. The combined dark channel prior (DCP) and bright channel prior (BCP) together with the multi-scale retinex (MSR) algorithm is used to dynamically optimize the transmission map and thereby improve visibility. The proposed algorithm performs effective denoising of images considering the properties of retinex theory. The proposed method removes haze on an image scene through estimation of the More >

  • Open Access

    ARTICLE

    Underwater Terrain Image Stitching Based on Spatial Gradient Feature Block

    Zhenzhou Wang1, Jiashuo Li1, Xiang Wang1,*, Xuanhao Niu2

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4157-4171, 2022, DOI:10.32604/cmc.2022.027017 - 29 March 2022

    Abstract At present, underwater terrain images are all strip-shaped small fragment images preprocessed by the side-scan sonar imaging system. However, the processed underwater terrain images have inconspicuous and few feature points. In order to better realize the stitching of underwater terrain images and solve the problems of slow traditional image stitching speed, we proposed an improved algorithm for underwater terrain image stitching based on spatial gradient feature block. First, the spatial gradient fuzzy C-Means algorithm is used to divide the underwater terrain image into feature blocks with the fusion of spatial gradient information. The accelerated-KAZE (A-KAZE)… More >

  • Open Access

    ARTICLE

    Organic Materials Could Improve the Phytoremediation Efficiency of Soil Potentially Hazardous Metal by Sedum alfredii Hance

    Peifan Wang1,#, Shengting Rao1,#, Jia Fang2, Yongqiang Lv2, Anying Zhao2, Zhengqian Ye2, Weijun Fu1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1529-1542, 2022, DOI:10.32604/phyton.2022.019368 - 14 March 2022

    Abstract Soil potentially hazardous metal (PHM) is continually attracting public attention worldwide, due to its highly toxic properties and potentially huge damage to human being through food chain. Phytoremediation is an effective and eco-friendly way in remediation technology. A pot experiment was carried out to investigate the effect of different organic materials (biogas residue (BR), mushroom residue (MR), and bamboo-shoot shell (BS)) application on phytoremediation of two PHM-contaminated soils (Fuyang soil as ‘heavily-polluted soil’ and Wenzhou soil as ‘moderately-polluted soil’, respectively) by Sedum alfrecdii Hance. The results indicated: 1) for moderately-polluted soil, the 5% BR treatment had… More >

  • Open Access

    ARTICLE

    FSpot: Fast and Efficient Video Encoding Workloads Over Amazon Spot Instances

    Anatoliy Zabrovskiy1,3, Prateek Agrawal1,2,*, Vladislav Kashansky1, Roland Kersche4, Christian Timmerer1,4, Radu Prodan1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5677-5697, 2022, DOI:10.32604/cmc.2022.023630 - 14 January 2022

    Abstract HTTP Adaptive Streaming (HAS) of video content is becoming an undivided part of the Internet and accounts for most of today's network traffic. Video compression technology plays a vital role in efficiently utilizing network channels, but encoding videos into multiple representations with selected encoding parameters is a significant challenge. However, video encoding is a computationally intensive and time-consuming operation that requires high-performance resources provided by on-premise infrastructures or public clouds. In turn, the public clouds, such as Amazon elastic compute cloud (EC2), provide hundreds of computing instances optimized for different purposes and clients’ budgets. Thus,… More >

  • Open Access

    ARTICLE

    Parameter Estimation Based on Censored Data under Partially Accelerated Life Testing for Hybrid Systems due to Unknown Failure Causes

    Mustafa Kamal*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1239-1269, 2022, DOI:10.32604/cmes.2022.017532 - 30 December 2021

    Abstract In general, simple subsystems like series or parallel are integrated to produce a complex hybrid system. The reliability of a system is determined by the reliability of its constituent components. It is often extremely difficult or impossible to get specific information about the component that caused the system to fail. Unknown failure causes are instances in which the actual cause of system failure is unknown. On the other side, thanks to current advanced technology based on computers, automation, and simulation, products have become incredibly dependable and trustworthy, and as a result, obtaining failure data for… More >

  • Open Access

    ARTICLE

    STRASS Dehazing: Spatio-Temporal Retinex-Inspired Dehazing by an Averaging of Stochastic Samples

    Zhe Yu1, Bangyong Sun1,3,*, Di Liu2, Vincent Whannou de Dravo1, Margarita Khokhlova4, Siyuan Wu3

    Journal of Renewable Materials, Vol.10, No.5, pp. 1381-1395, 2022, DOI:10.32604/jrm.2022.018262 - 22 December 2021

    Abstract In this paper, we propose a neoteric and high-efficiency single image dehazing algorithm via contrast enhancement which is called STRASS (Spatio-Temporal Retinex-Inspired by an Averaging of Stochastic Samples) dehazing, it is realized by constructing an efficient high-pass filter to process haze images and taking the influence of human vision system into account in image dehazing principles. The novel high-pass filter works by getting each pixel using RSR and computes the average of the samples. Then the low-pass filter resulting from the minimum envelope in STRESS framework has been replaced by the average of the samples. More >

  • Open Access

    ARTICLE

    Digital Social and Emotional Literacy Intervention for Vulnerable Children in Brazil: Participants’ Experiences

    Louise Freeland1, Michelle O’Reilly2, Juliana Fleury3, Sarah Adams4, Panos Vostanis1,*

    International Journal of Mental Health Promotion, Vol.24, No.1, pp. 51-67, 2022, DOI:10.32604/ijmhp.2022.015706 - 20 December 2021

    Abstract Social emotional literacy (SEL) interventions are widely implemented through schools, with growing evidence for a range of positive child outcomes. Increasingly, such interventions are delivered on online platforms. To date, there is limited evidence about digital SEL interventions in low- and middle-income countries (LMIC). The aim of this study was to explore the perceptions and experiences of children, parents and facilitator of the potential value of addressing SEL via tailored digital intervention. The intervention was designed to help children, in Brazil, to cope during the first COVID-19 pandemic lockdown. The intervention was delivered via a… More >

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