Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

In order to set up a mathematical model suitable for nautical navigational environment risk evaluation and systematically master the navigational environment risk characteristics of the Qiongzhou Strait in a quantitative way, a risk assessment model with approach steps is set up based on the grey fixed weight cluster (GFWC). The evaluation index system is structured scientifically through both literature review and expert investigation. The relative weight of each index is designed to be obtained via fuzzy analytic hierarchy process (FAHP); Index membership degree of every grey class is proposed to be achieved by fuzzy statistics (FS) to avoid the difficulty of building whiten weight functions. By using the model, nautical navigational environment risk of the Qiongzhou Strait is determined at a “moderate” level according to the principle of maximum membership degree. The comprehensive risk evaluation of the Qiongzhou Strait nautical navigational environment can provide theoretical reference for implementing targeted risk control measures. It shows that the constructed GFWC risk assessment model as well as the presented steps are workable in case of incomplete information. The proposed strategy can excavate the collected experts’ knowledge mathematically, quantify the weight of each index and risk level, and finally lead to a comprehensive risk evaluation result. Besides, the adoptions of probability and statistic theory, fuzzy theory, aiming at solving the bottlenecks in case of uncertainty, will give the model a better adaptability and executability.</p

1526 The Open Automation and Control Systems Journal

Abstract: Traditional resistance measurement for DC motor commutator segment is manual. The process is complicated, the efficiency is low, and the cost is high. In order to enhance efficiency and precision of the resistance measurement, we design an automatic measurement equipment using virtual instrument technique. The equipment consists on industrial compute, stepping motor drive transmission system, low resistance measuring meter, host compute software. Making the equipment universal and automated is the core of design. We discuss working principle of the equipment, hardware design, software design, measurement experiment process and results analysis. Hardware design includes accurate position control of stepping motor, 4-wire method for resistance measurement, special fixture design for probe. Software design based on LabWindows/CVI platform includes serial communication, asynchronous timers, multi-thread, ActiveX control. The measurement experiment results indicate that the euipment can measure almost all kind of DC motor rotors accurately, also can record and save measurement results automatically

A method of chained recommendation for charging piles in internet of vehicles

With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastructure is facing increasing demand and more severe challenges. With the ubiquity of Internet of vehicles (IoVs), inter-vehicle communication can share information about the charging experience and traffic condition to help achieving better charging recommendation and higher energy efficiency. The recommendation of charging piles is of great value. However, the existing methods related to such recommendation consider inadequate reference factors and most of them are generalized for all users, rather than personalized for specific populations. In this paper, we propose a recommendation method based on dynamic charging area mechanism, which recommends the appropriate initial charging area according to the user's warning level, and dynamically changes the charging area according to the real-time state of EVs and charging piles. The recommendation method based on a classification chain provides more personalized services for users according to different charging needs and improves the utilization ratio of charging piles. This satisfies users' multilevel charging demands and realizes a more effective charging planning, which is beneficial to overall balance. The chained recommendation method mainly consists of three modules: intention detection, warning levels classification, and chained recommendation. The dynamic charging area mechanism reduces the occurrence of recommendation conflict and provides more personalized service for users according to different charging needs. Simulations and computations validate the correctness and effectiveness of the proposed method.This work is supported by the National Natural Science Foundation of China (U1636215, 61871140, 61872100), the National Key research and Development Plan (2018YFB0803504); the Beijing Municipal Natural Science Foundation (No. 4172006), the Guangdong Province Key Research and Development Plan (2019B010137004), and the Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2019)

Analysis on Structural Stress of 64 × 64 InSb IRFPAs with Temperature Dependent Elastic Underfill

To improve the reliability of InSb IRFPAs, underfill has usually been filled between InSb chip and Si ROIC. Around the glass transition temperature, underfill shows viscoelasticity, yet, far below it, which shows apparently temperature dependent mechanical properties. Basing on the temperature dependent elastic model of underfill, firstly a small format array of 8×8 elements InSb IRFPAs is investigated by changing indium bump diameters and heights; simulated results show that the maximum stress in InSb chip has nothing to do with underfill height and is dependent on indium bump diameter; the varying tendency is just like the horizontally extended letter U. When indium bump diameter is set to 24 μm with height 21  μm, the maximal stress in InSb chip reaches minimum. To learn the stress in 64×64 elements in short time, with the above optimal structure, InSb IRFPAs array scale is doubled once again from 8×8 to 64×64 elements. Simulation results show that the stress maximum in InSb chip is strongly determined by arrays format and increases with array scale; yet, the stress maximum in Si ROIC almost keeps constant and is independent on array sizes; besides, the largest stress locates in InSb chip, and the stress distribution in InSb chip is uniform

Evaluation of Raised Pavement Markers

Task Order 328In the State of New Jersey, raised pavement markers (RPMs) are used along all centerlines and skip lines, regardless of traffic volume, roadway geometry, or roadway classification. The extensive use of RPMs has raised interest in understanding 1) whether this significant investment generates variant safety benefits at different locations; 2) whether there are alternatives or modifications to the existing RPMs; and 3) how to optimize the installation, monitoring, and maintenance of RPMs and their promising alternatives in order to attain a more cost-effective safety improvement. This study reviewed the relevant literature and provided a methodological framework for quantifying the safety effectiveness and implementation costs of RPMs and their alternatives given specified road and traffic characteristics. A luminance measurement method was developed to allow researchers to estimate the luminance of these devices and to compare different reflective pavement markers and their alternatives regarding the ability to provide visual delineation. The study also analyzed the installation practices in various states and proposed guidelines for the use of RPMs and relevant alternatives accounting for various road classification, geometry, and traffic factors. Finally, the study developed a computer-aided decision support tool that can be used to calculate the life cycle cost of RPMs and other alternatives, thereby supporting decisions with respect to the optimal use of safety investment

Xiaoaiping Induces Developmental Toxicity in Zebrafish Embryos Through Activation of ER Stress, Apoptosis and the Wnt Pathway

The aim of the study was to determine the developmental toxicity of the traditional Chinese medicine Xiaoaiping (XAP) and to investigate its underlying mechanism of action. Zebrafish embryos were incubated with 0.4, 0.8, 1.2, and 1.6 mg/mL XAP. Endpoints such as mortality, hatching rate, malformation, body length, morphology score, swimming behavior, histological changes, reactive oxygen species (ROS) production, total superoxide dismutase (T-SOD) activity, and the mRNA expression of genes related to oxidative stress, endoplasmic reticulum (ER) stress, apoptosis, and the Wnt pathway were evaluated. Our results demonstrated that XAP exposure increased mortality and malformation and reduced the hatching rate. XAP resulted in severe malformation, including swim bladder deficiency, yolk retention, pericardial edema, and tail curvature. Histopathological analysis showed that XAP induced liver, heart and muscle injury. High doses (≥1.2 mg/mL) of XAP notably decreased the locomotor capacity of zebrafish. ROS generation was remarkably increased and T-SOD activity was decreased, confirming that oxidative stress was induced by XAP. The mRNA expression levels of ER stress-related genes (chop, hspa5, hsp90b1, and perk), apoptosis-related genes (caspase-3, bax, and p53) and wnt11 were significantly upregulated by XAP exposure. The expression levels of the oxidative stress-related genes (cat, sod1, and gstp2), Wnt pathway-related genes (β-catenin, wnt3a, and wnt8a) and bcl-2 initially increased and then decreased as the XAP exposure dose increased. In conclusion, we provide evidence for the first time that XAP can induce dose-related developmental toxicity, and ER stress, apoptosis and the Wnt pathway participate in the toxicity regulation

Composition and Systemic Immune Activity of the Polysaccharides from an Herbal Tea (Lycopus lucidus Turcz)

This study was undertaken to characterize the water-soluble polysaccharides isolated from an herbal tea, the leaves of L. lucidus Turcz. HPLC analysis showed that L. lucidus polysaccharides (LLPs) were mainly composed of galactose (50.1 mol %), followed by galacturonic acid (14.2 mol %), accounting for 64.3 mol % of all quantitative nine monosaccharides. Furthermore, we evaluated the systemic immunological efficacy of LLPs in mice. Mice were intragastrically administered once daily with low-dose (50 mg/kg), intermediate-dose (100 mg/kg), and high-dose (300 mg/kg) of LLPs, respectively, for 30 consecutive days. In comparison with vehicle, LLPs significantly enhanced the plaque-forming cells (PFCs), and serum hemolysin level, and delayed-type hypersensitivity (DTH) in response to sheep red blood cells (SRBC) in a dose-dependent manner (p<0.01). In LLPs-treated mice, phagocytosis capacity and concanavalin A-induced spleenocyte proliferation were remarkably increased (p < 0.05). The intermediate- and high-dose of LLPs also caused a significant increase in the indices of thymus and spleen organs of mice (p < 0.05). This suggests that the polysaccharides derived from the tea leaves of L. lucidus improves the immune system and might be regarded as a biological response modifier

3D System Matrix Calibration by Using Coil Information and Transformer

System Matrix-based image reconstruction approach requires a time-consuming calibration measurement. Existing methods such as compressed sensing and deep learning-based methods treat each row of the system matrix as independent data sample and lack the ability to modelling the relationships between SM rows. We firstly propose to model SM row relationships by the coil position and frequency value, which can be regarded as the additional and multimodal information. we propose a transformer-based neural network for 3D fast SM calibration, which encodes the information of coil position and frequency value into SM with self-attention mechanism in transformer

MPI Reconstruction Based on System Matrix using a Field Free Line

Magnetic particle imaging (MPI) is a new imaging modality which draws much attention due to its high sensitivity and spatial resolution. The spatial information encoded using a field free line (FFL) exhibit better sensitivity and signal-to-noise ratio compared to field free point (FFP) scanning. In this study, we investigate different reconstruction methods for MPI image based on system matrix and FFL scanning using simulation data. Our results show that existing reconstructed methods are influenced by particle size, noise, iteration coefficient, and trajectory density. We evaluate the weighting iterative method and the results are shown with a phantom. This work bridges the gap between simulation and measurement experimental work by demonstrating the feasibility of reconstructing 2D images using a simulated MPI system matrix and FFL

Disrupting SOD1 activity inhibits cell growth and enhances lipid accumulation in nasopharyngeal carcinoma

Abstract Background SOD1 is an abundant enzyme that has been studied as a regulator of the antioxidant defence system, and this enzyme is well known for catalyzing the dismutation of superoxide into hydrogen peroxide. However the SOD1 in the progress of NPC and underlying mechanisms remain unclear. Methods In NPC tissue samples, SOD1 protein levels were measured by Western blot and immunohistochemical (IHC) staining. mRNA levels and SOD1 activity were monitored by qRT-PCR and SOD activity kit, respectively. Kaplan-Meier survival analysis was performed to explore the relationship between SOD1 expression and prognosis of NPC. The biological effects of SOD1 were investigated both in vitro by CCK-8, clonogenicity and apoptosis assays and in vivo by a xenograft mice model. Western blotting, ROS assay and triglyceride assays were applied to investigate the underlying molecular mechanism of pro-survival role of SOD1 in NPC. Results We observed a significant upregulation of SOD1 in NPC tissue and high SOD1 expression is a predictor of poor prognosis and is correlated with poor outcome. We confirmed the pro-survival role of SOD1 both in vitro and in vivo. We demonstrated that these mechanisms of SOD1 partly exist to maintain low levels of the superoxide anion and to avoid the accumulation of lipid droplets via enhanced CPT1A-mediated fatty acid oxidation. Conclusions The results of this study indicate that SOD1 is a potential prognostic biomarker and a promising target for NPC therapy