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  • Open Access

    ARTICLE

    A Low-Cost 3-Axis Computer Controlled Filament-Winding Pattern Design Method for Composite Elbows

    Guiying Wang1, Xigui Wang1,*, Hong Zhao2, Yinggang Huang1, Jinyong Ju1, E. E Erdun3

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 651-662, 2021, DOI:10.32604/iasc.2021.019274

    Abstract The aeronautics and aerospace industries often require special-shaped parts made from lightweight materials with a constant resistance, such as filament winding composite elbows and tees. Filament winding patterns can be realized using numerically controlled filament winding machines. Herein, a 3-axis computer controlled filament winding machine is proposed to solve existing problems with winding of composite elbows such as inconsistent quality, low productivity, and high costs. In this study, a geodesic winding equation for the torus and non-geodesic winding equation for the cylindrical sections of the elbow are provided and the winding angle α’ is optimized. Furthermore, the correspondence relationship between… More >

  • Open Access

    ARTICLE

    UAV Clustering Scheme for FANETs using Elbow-Hybrid Metaheuristic Techniques

    Kundan Kumar*, Rajeev Arya

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 321-337, 2021, DOI:10.32604/csse.2021.016748

    Abstract Great strides have been made to realistically deploy multiple Unmanned Aerial Vehicles (UAVs) within the commercial domain, which demands a proper coordination and reliable communication among the UAVs. UAVs suffer from limited time of flight. Conventional techniques suffer from high delay, low throughput, and early node death due to aerial topology of UAV networks. To deal with these issues, this paper proposes a UAV parameter vector which considers node energy, channel state information and mobility of UAVs. By intelligently estimating the proposed parameter, the state of UAV can be predicted closely. Accordingly, efficient clustering may be achieved by using suitable… More >

  • Open Access

    ARTICLE

    Quand et avec quelles conséquences opérer une tumeur neuroendocrine du pancréas ou du grêle ?*
    When to Operate and What Are the Consequences of a Surgical Resection of a Neuroendrocine Tumour in the Pancreas or Small Bowel

    E. Hain, J. Gharios, R. Sindayigaya, S. Gaujoux

    Oncologie, Vol.21, No.2, pp. 91-96, 2019, DOI:10.3166/onco-2019-0048

    Abstract Neuroendocrine tumors (NET) are rare and can occur in all parts of the digestive tract. They can be functional or non-functional. All patients presenting NET should be discussed for the surgical management within the RENATEN tumor board. For sporadic pancreatic NET, surgery is recommended for non-functional lesion >2 cm in size and/or associated with ductal dilatation. For non-aggressive tumor, parenchyma-sparing surgery should be preferred to avoid exocrine and endocrine pancreatic insufficiency. For small bowel NET, surgery must always be considered to avoid complications such as small bowel obstruction. Lymphadenectomy must include at least 8 noded. Surgery must avoid short bowel… More >

  • Open Access

    REVIEW

    Extraintestinal manifestations of inflammatory bowel disease, nitroxidative stress and dysbiosis: What is the link between them?

    AMYLLY SANUELLY DA PAZ MARTINS1, SAMARA BOMFIM GOMES CAMPOS2, MARÍLIA OLIVEIRA FONSECA GOULART1,2,3, FABIANA ANDRÉA MOURA4,*

    BIOCELL, Vol.45, No.3, pp. 461-481, 2021, DOI:10.32604/biocell.2021.014332

    Abstract Inflammatory bowel disease (IBD), which includes Crohn’s disease and ulcerative colitis, has a not yet completely defined aetiology and is characterized by a progressive chronic inflammation that involves nitroxidative stress and dysbiosis. Extraintestinal manifestations can occur and affect several organs, including the liver and bile ducts, joints, skin, eyes, and less frequently, the heart, brain, and kidneys, increasing the risk of morbidity and mortality. These repercussions may be associated with the activity or severity of IBD. The present review proposes to report and analyse the participation of dysbiosis and nitroxidative stress in the genesis of extraintestinal manifestations, aiming to contribute… More >

  • Open Access

    ARTICLE

    OPPR: An Outsourcing Privacy-Preserving JPEG Image Retrieval Scheme with Local Histograms in Cloud Environment

    Jian Tang, Zhihua Xia*, Lan Wang, Chengsheng Yuan, Xueli Zhao

    Journal on Big Data, Vol.3, No.1, pp. 21-33, 2021, DOI:10.32604/jbd.2021.015892

    Abstract As the wide application of imaging technology, the number of big image data which may containing private information is growing fast. Due to insufficient computing power and storage space for local server device, many people hand over these images to cloud servers for management. But actually, it is unsafe to store the images to the cloud, so encryption becomes a necessary step before uploading to reduce the risk of privacy leakage. However, it is not conducive to the efficient application of image, especially in the Content-Based Image Retrieval (CBIR) scheme. This paper proposes an outsourcing privacypreserving JPEG CBIR scheme. We… More >

  • Open Access

    ARTICLE

    Hybridization of Fuzzy and Hard Semi-Supervised Clustering Algorithms Tuned with Ant Lion Optimizer Applied to Higgs Boson Search

    Soukaina Mjahed1,*, Khadija Bouzaachane1, Ahmad Taher Azar2,3, Salah El Hadaj1, Said Raghay1

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 459-494, 2020, DOI:10.32604/cmes.2020.010791

    Abstract This paper focuses on the unsupervised detection of the Higgs boson particle using the most informative features and variables which characterize the “Higgs machine learning challenge 2014” data set. This unsupervised detection goes in this paper analysis through 4 steps: (1) selection of the most informative features from the considered data; (2) definition of the number of clusters based on the elbow criterion. The experimental results showed that the optimal number of clusters that group the considered data in an unsupervised manner corresponds to 2 clusters; (3) proposition of a new approach for hybridization of both hard and fuzzy clustering… More >

  • Open Access

    ARTICLE

    Probiotics enhance the recovery of gut atrophy in experimental malnutrition

    DIANA B. DOCK*, JOSÉ E. AGUILAR-NASCIMENTO**, MARCIA Q. LATORRACA*

    BIOCELL, Vol.28, No.2, pp. 143-150, 2004, DOI:10.32604/biocell.2004.28.143

    Abstract AIM: The aim of this study was to evaluate the effect of probiotics on the recovery of the bowel atrophy induced by malnutrition in rats. METHODS: Twenty-and-six Wistar rats (200-250g) were fed with either a normoproteic (sham group, n=6) or a free-protein diet (n=20) during 12 days. Twelve malnourished rats were randomized to recover during 15 days with either a hydrolyzed diet (control group, n=6) or the same diet enriched with probiotics (Streptococcus thermophilus and Lactobacillus helveticus; probiotic group, n=6). RESULTS: Probiotic group showed similar gain of body, liver and bowel weight than controls. At the jejunum, both the villus… More >

  • Open Access

    ARTICLE

    Evapotranspiration and energy balance measurements over a soybean field in the semiarid sowthwestern region of Buenos Aires province (Argentina)

    Cargnel MD1, AL Orchansky2, RE Brevedan2, SS Baioni2, MN Fioretti2

    Phyton-International Journal of Experimental Botany, Vol.86, pp. 181-189, 2017, DOI:10.32604/phyton.2017.86.181

    Abstract Two field experiments were carried out in a semiarid region of Argentina over a soybean (Glycine max L. Merrill) field. The sites of study were San Adolfo (39˚ 23’ S, 62˚ 22’ W, 22 m.a.s.l.) and Nueva Roma (38˚ 29’ S, 62˚ 39’ W, 70 m.a.s.l.). Soybeans were planted on Jan 4 (San Adolfo) and Nov 27 (Nueva Roma) in 0.75 m wide rows and at 400000 pl/ha during two consecutive growing seasons. Energy balance and evapotranspiration (ET) were estimated during the reproductive stages from full bloom (R2) to full maturity (R8). In Nueva Roma ET or latent heat flux… More >

  • Open Access

    ARTICLE

    Numerical Study of Trapped Solid Particles Displacement From the Elbow of an Inclined Oil Pipeline

    Dingqian Ding1,2, Yongtu Liang1,*, Yansong Li1,3, Jianfei Sun1, Dong Han1, Jing Liu4

    CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.1, pp. 273-290, 2019, DOI:10.32604/cmes.2019.07228

    Abstract The solid particle impurities generated by pipe wall corrosion might deposit at the elbow of hilly pipelines during the production shutdown of oil pipelines. These solid particle impurities will seriously affect the safety of the pipeline operation and the quality of the petroleum products. Thus, it is necessary to study the methods of removing these trapped particles from pipelines. At present, the most common way to remove these solid particle impurities is pigging oil pipelines periodically by utilizing the mechanical pigging method, while the frequent pigging operation will increase the cost and risk of pipeline operation. It is very convenient… More >

  • Open Access

    ARTICLE

    Ground-Based Cloud Recognition Based on Dense_SIFT Features

    Zhizheng Zhang1, Jing Feng1,*, Jun Yan2, Xiaolei Wang1, Xiaocun Shu1

    Journal of New Media, Vol.1, No.1, pp. 1-9, 2019, DOI:10.32604/jnm.2019.05937

    Abstract Clouds play an important role in modulating radiation processes and climate changes in the Earth's atmosphere. Currently, measurement of meteorological elements such as temperature, air pressure, humidity, and wind has been automated. However, the cloud's automatic identification technology is still not perfect. Thus, this paper presents an approach that extracts dense scale-invariant feature transform (Dense_SIFT) as the local features of four typical cloud images. The extracted cloud features are then clustered by K-means algorithm, and the bag-of-words (BoW) model is used to describe each ground-based cloud image. Finally, support vector machine (SVM) is used for classification and recognition. Based on… More >

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