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  • Dynamic Characteristics Analysis of Ice-Adhesion Transmission Tower-Line System under Effect of Wind-Induced Ice Shedding
  • Abstract The tower line system will be in an unsafe status due to uniform or uneven fall of ice coating which is attached to the surface of tower and lines. The fall of ice could be caused by wind action or thermal force. In order to study the dynamic characteristics of the self-failure of the transmission line under the action of dynamic wind load, a finite element model of the two-span transmission tower line system was established. The birth and death element methods are used to simulate the icing and shedding of the line. Tensile failure strength is the shedding criterion…
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  • Chitosan and Carboxymethylchitosan as High Turbidity Water Biocoagulants
  • Abstract Biocoagulants emerges as a promising technology in water treatment, in order to exploit renewable and biodegradable materials. The present work aims to study the coagulant action of chitosan and carboxymethylchitosan on water with very high turbidity (above 300 NTU), contrasting the physicochemical results with those obtained for aluminum sulphate. Carboxymethylchitosan was produced by the Williamson’s ethers synthesis and characterized by potentiometric titration, FTIR and 1 H-NMR. The coagulant tests were performed using synthetic water in a Jar-test equipment, through the induction of high and low velocity gradients, followed by sedimentation. The results showed turbidity and color removal efficiencies above 99%…
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  • Wind Farm-Battery Energy Storage Assessment in Grid-Connected Microgrids
  • Abstract Renewable energy has received much attention in the last few decades and more investment is being attracted across the world to boost its contribution towards the existing energy mix. In the Kingdom of Saudi Arabia (KSA), many studies have been conducted on the potential of renewable energy sources (RES), such as wind, solar, and geothermal. Many of these studies have revealed that the Kingdom is blessed with an abundance of RES with wind energy being the best after solar. This paper presents an analysis of windfarm distributed generation (WFDG) for energy management strategy in the Eastern Province of KSA. The…
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  • Properties of ABS/Organic-Attapulgite Nanocomposites Parts Fabricated by Fused Deposition Modeling
  • Abstract The paper discusses the mechanical and thermal performance manifested in natural nanorods attapulgite (ATP) reinforced Acrylonitrile butadiene styrene (ABS) nanocomposites in the process of fused deposition modeling (FDM). Molten extrusion technique was taken to manufacture the filaments of ABS/organic-attapulgite (OAT) nanocomposites with different mass fraction and the printing operation was made by one commercial FDM three-dimensional (3D) printer. Results indicate that the mechanical performance of these FDM 3D printed specimens are improved obviously via the introduction of OAT, and tensile strength of the ABS/OAT nanocomposites parts with only 2 wt% OAT addition is enhanced by 48.1%. At the same time,…
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  • Alterations in Metabolites Associated with Hypoxemia in Neonates and Infants with Congenital Heart Disease
  • Abstract Objectives: (1) To measure the global shift in the metabolome in hypoxemic versus non-hypoxemic infants with congenital heart disease; (2) To identify metabolites and metabolic pathways that are altered in hypoxemia. Study Design: Analysis of serum samples obtained prior to cardiopulmonary bypass from 82 infants ≤120 days old with congenital heart disease requiring surgery at Children’s Hospital Colorado. Infants were divided into groups based on preoperative oxygen saturations: non-hypoxemic (>92%), mild hypoxemia (85–92%), and severe hypoxemia (<85%). Tandem mass spectrometry was used to analyze 165 targeted metabolites. Partial least squares discriminant analysis and t-tests were used to determine differences among…
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  • Immunomodulatory miRNAs as Potential Biomarkers for the Postoperative Course Following Surgery for the Repair of Congenital Heart Defects in Children
  • Abstract Objective: To test the hypothesis that circulating miRNAs-146a, -146b, -155, and -21 reflect the inflammatory state of children following heart surgery, and that they may, therefore, correlate with postoperative parameters. We aimed to quantify miRNAs in blood samples from pediatric patients before and 6, 12, and 24 hours after surgery and to evaluate correlations between the miRNA levels and the postoperative course. Setting: PICU. Patients: Forty-two pediatric patients with CHD who underwent cardiac surgery at Safra Children’s Hospital between 2012–2016. Interventions: none. Outcome Measures: The primary outcomes were the postoperative cardiac complications and the secondary outcomes were the length of…
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  • The Kinematics and Surface Electromyography Characteristics of Round Kick of Martial Arts Athletes
  • Abstract In order to improve the level of athletes, modern scientific and technological means can be used to understand the characteristics and rules of movement. This study mainly analyzed the whip leg technique of Sanda athletes. Taking ten athletes as an example, the kinematics and surface electromyography (sEMG) data of them were measured, calculated and sorted out when they were doing the action of round kick. The results showed that the movement completion time of the first-level athletes was shorter, 0.34 ± 0.33 s. In the stage of turning hip and hitting, the angle of hip joint increased significantly. In the…
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  • Machine Learning-Based Seismic Fragility Analysis of Large-Scale Steel Buckling Restrained Brace Frames
  • Abstract Steel frames equipped with buckling restrained braces (BRBs) have been increasingly applied in earthquake-prone areas given their excellent capacity for resisting lateral forces. Therefore, special attention has been paid to the seismic risk assessment (SRA) of such structures, e.g., seismic fragility analysis. Conventional approaches, e.g., nonlinear finite element simulation (NFES), are computationally inefficient for SRA analysis particularly for large-scale steel BRB frame structures. In this study, a machine learning (ML)- based seismic fragility analysis framework is established to effectively assess the risk to structures under seismic loading conditions. An optimal artificial neural network model can be trained using calculated damage…
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  • A Novel Binary Firey Algorithm for the Minimum Labeling Spanning Tree Problem
  • Abstract Given a connected undirected graph G whose edges are labeled, the minimum labeling spanning tree (MLST) problem is to find a spanning tree of G with the smallest number of different labels. The MLST is an NP-hard combinatorial optimization problem, which is widely applied in communication networks, multimodal transportation networks, and data compression. Some approximation algorithms and heuristics algorithms have been proposed for the problem. Firey algorithm is a new meta-heuristic algorithm. Because of its simplicity and easy implementation, it has been successfully applied in various fields. However, the basic firefly algorithm for the MLST problem is proposed in this…
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  •   Views:1219       Downloads:288        Download PDF
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