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Food Science and Human Wellness 2024年

作者： Zhen Zhang Shasha Tang Ziyan wang Jiaojiao Han Jun Zhou Chenyang Lu Bin Liu Xiaoling Sun Rongxian Yu rixin wang Xiurong Su School of Marine Science， Ningbo University State Key Laboratory for Quality and Safety of Argo-products， Ningbo University Vigor Technology Group

Marine fauna provides a plentiful repository of peptides and bioactive proteins. Peptides and proteins isolated from marine animals have been studied and applied in the development of food supplements， drugs， and cosmeceutical products because of their special bioactivities， such as anti-inflammatory and antioxidant effects This study focused on exploring the alleviating effects of five major marine animal-derived peptides (Apostichopus japonicus， Acaudina leucoprocta， Melanogrammus aeglefinus， Phascolosoma esculenta and Rhopilema esculentum) on adjuvant-induced arthritis (AIA). The treatment with five marine animals-derived peptides downregulated the expression levels of pro-inflammatory cytokines of IL-1β， IL-17 and TNF-α in the bones of the mice with AIA and alleviated the rough surface of bone tissues significantly. A. japonicus-treatment ameliorates inflammation by restoring NF-κB pathway in AIA mice. High-throughput sequencing of the gut microbiota based on 16S rRNA sequencing revealed that A. japonicus peptide-treated AIA mice showed alterations and imbalance of intestinal flora and an increased abundance of Lactobacillus and Clostridium. Furthermore， metabolomic analysis showed that the level of SCFAs in the feces was enhanced to different degrees in mice treated with five major marine animal-derived peptides. Taken together， we propose that major marine animal-derived peptides can alleviate arthritis by improving the imbalance in the gut flora and increasing SCFA production to varying degrees.

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Modulation of gut microbiota and serum metabolome by Apostichopus japonicus derived oligopeptide in high-fructose diet-induced hyperuricemia in mice

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Food Science and Human Wellness 2024年

作者： Jun Zhou Ziyan wang Zhixuan Zhang Jiaojiao Han Ying Feng Jing Zhang Zhen Zhang Ye Li Tinghong Ming Chenyang Lu rixin wang Xiurong Su School of Marine Science， Ningbo University Faculty of Food Science， Zhejiang Pharmaceutical College Key Laboratory of Aquacultural Biotechnology Ministry of Education， Ningbo University College of Life Sciences， Tonghua Normal University State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products， Ningbo University

Fructose consumption has risen dramatically in recent decades due to the use of sucrose and high fructose corn syrup in beverages and processed foods， contributing to rising rates of hyperuricemia. The purpose of this experiment was to explore the anti-hyperuricemia effects of an active oligopeptide (GPSGRP) derived from sea cucumber in fructose induced hyperuricemia mouse model， and to clarify the underlying mechanism in sight of gut microbiota and serum metabolites. Peptide GPSGRP treatment rebalanced uric acid metabolism and alleviated inflammatory response in mice. In addition， treatment with GPSGRP decreased the abundance of Bacteroides and Proteobacteria at the phylum level， Muribaculum， Prevotella and Bacteroides at the genus level， and inhibited the related pathways of purine metabolism and glycolysis/gluconeogenesis metabolism. Moreover， serum metabolites， including linoleic acid， indole and its derivatives， arachidonic acid and uridine， as well as related metabolic pathways， such as tricarboxylic acid cycle， ketone production and sugar production， were altered in response to GPSGRP treatment. This study provides a valuable reference for the application and development of marine biological peptides in uric acid management.

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碱烧结法回收二次铝灰中氧化铝

中国有色冶金 2024年第4期53卷 105-112页

作者：伍永福鲍高战王日昕刘中兴练以诚刘玉宝内蒙古科技大学能源与环境学院内蒙古包头014010 江西省科学院应用物理研究所江西南昌330029 中铝环保节能集团有限公司北京102209 包头稀土研究院白云鄂博稀土资源研究与综合利用国家重点实验室内蒙古包头014010 轻稀土清洁提取与应用内蒙古自治区工程研究中心内蒙古包头014010

二次铝灰中蕴含大量的氧化铝、铝和氮化铝等,还有部分氟化物和氯化物盐类,属于危险废弃物。目前常用的铝回收技术有酸浸法和碱浸法,均存在工艺条件苛刻、回收率低、能耗高、物耗大和产品附加值较低等问题。本研究采用碱烧结法从二次铝... 详细信息

二次铝灰中蕴含大量的氧化铝、铝和氮化铝等,还有部分氟化物和氯化物盐类,属于危险废弃物。目前常用的铝回收技术有酸浸法和碱浸法,均存在工艺条件苛刻、回收率低、能耗高、物耗大和产品附加值较低等问题。本研究采用碱烧结法从二次铝灰中回收氧化铝,考察烧结温度对氮化铝转化率的影响,碱铝比、烧结时间和成型方式对氧化铝回收率的影响,得到以下主要结论:在烧结温度1423 K、烧结时间40 min、碱铝比1.1、干压成型的试验条件下,氧化铝溶出率最大为94.23%;通过对二次铝灰铝酸钠熟料浸出渣成分以及物相进行分析,得到二次铝灰经过碱烧结法焙烧后熟料主要成分为Al_(2)O_(3)和Na_(2)O,分别占到49.70%和28.06%,熟料标准浸出后残渣主要成分为CaO、Al_(2)O_(3)和MgO,含量分别为25.46%、20.27%和15.80%;二次铝灰中AlN分解率较高,可达到95%以上,最终浸出渣中氟离子浸出毒性在30 mg/L以下。综上所述,本文采用碱烧结法资源化利用二次铝灰,实现了二次铝灰脱氮固氟的无害化处置,具有环境友好、资源利用率高的优势,为后续大规模工业化推广奠定了理论基础。

关键词：二次铝灰脱氮固氟铝回收碱烧结法无害化处置浸出毒性资源化利用

Rescheduling of observing spacecraft using fuzzy neural network and ant colony algorithm

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Chinese Journal of Aeronautics 2014年第3期27卷 678-687页

作者： Li Yuqing wang rixin Xu Minqiang Deep Space Exploration Research Center Harbin Institute of Technology

This paper aims at rescheduling of observing spacecraft imaging plans under uncertainties. Firstly, uncertainties in spacecraft observation scheduling are analyzed. Then, considering the uncertainties with fuzzy features, this paper proposes a fuzzy neural network and a hybrid rescheduling policy to deal with them. It then establishes a mathematical model and manages to solve the rescheduling problem by proposing an ant colony algorithm, which introduces an adaptive control mechanism and takes advantage of the information in an existing schedule. Finally, the above method is applied to solve the rescheduling problem of a certain type of earth-observing satellite. The computation of the example shows that the approach is feasible and effective in dealing with uncertainties in spacecraft observation scheduling. The approach designed here can be useful in solving the problem that the original schedule is contaminated by disturbances.

关键词： Ant colony algorithm Planning and scheduling Rescheduling Spacecraft observing Uncertainty

Simultaneous state and actuator fault estimation for satellite attitude control systems

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Chinese Journal of Aeronautics 2016年第3期29卷 714-721页

作者： Cheng Yao wang rixin Xu Minqiang Li Yuqing Deep Space Exploration Research Center Harbin Institute of Technology

In this paper, a new nonlinear augmented observer is proposed and applied to satellite attitude control systems. The observer can estimate system state and actuator fault simultaneously. It can enhance the performances of rapidly-varying faults estimation. Only original system matrices are adopted in the parameter design. The considered faults can be unbounded, and the proposed augmented observer can estimate a large class of faults. Systems without disturbances and the fault whose finite times derivatives are zero piecewise are initially considered, followed by a discussion of a general situation where the system is subject to disturbances and the finite times derivatives of the faults are not null but bounded. For the considered nonlinear system, convergence conditions of the observer are provided and the stability analysis is performed using Lyapunov direct method. Then a feasible algorithm is explored to compute the observer parameters using linear matrix inequalities （LMIs）. Finally, the effectiveness of the proposed approach is illustrated by considering an example of a closed-loop satellite attitude control system. The mance in estimating states and actuator faults. It also successfully. simulation results show satisfactory perfor- shows that multiple faults can be estimated

关键词： Actuator fault estimation Augmented state observer Fault diagnosis Lipschitz nonlinear systemSatellite attitude controlsystem

Approach of fault diagnosis based on similarity degree matching distance function

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Science China(Technological Sciences) 2013年第11期56卷 2709-2720页

作者： wang rixin JIN Yang XU MinQiang Deep Space Exploration Research Center Harbin Institute and Technology

A new diagnosis method based on the similarity degree matching distance function is *** method solves the problem that the traditional fault diagnosis methods based on transition system model cannot deal with the"special state"which cannot match the target states *** evaluating the relationship between the observation and the target states,this paper first defines a new distance function based on the viewpoint of energy to measure the distance between two attribute *** that,all the distances of the attributes in the state vector are used to synthesize the distance between two *** calculating the similarity degree between two states,a trend evaluation method is *** analyzes the main direction of the trend of the state transfer according to the distances between the observation and each target state and their historical *** the diagnosis method to a primary power subsystem of a satellite,the simulation result shows that it is effective.

关键词： fault diagnosis similarity degree matching measurement-scale distance function trend evaluation

Multiobjective maintenance optimization of the continuously monitored deterioration system

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Journal of Systems Engineering and Electronics 2010年第5期21卷 791-797页

作者： Changyou Li Minqiang Xu Song Guo rixin wang School of Astronautics Harbin Institute of Technology Harbin 150001 P. R. China School of Mechanical Engineering and Automation Northeastern University Shenyang 110004 P. R. China School of Computer Science and Technology Harbin Engineering University Harbin 150001 P. R. China

With the development of the monitoring technology,it is more and more common that the system is continuously ***,the research on the maintenance optimization of the continuously monitored deterioration system is *** deterioration process of the discussed system is described by a Gamma *** predictive maintenance is considered to be imperfect and *** expected interval of two continuous preventive maintenances is ***,the maintenance optimization model of the continuously monitored deterioration system is *** the model,the minimization of the expected operational cost per unit time and the maximization of the system availability are the optimization *** improved ideal point method with the normalized objective functions is employed to solve the proposed *** validity and sensitivity of the proposed multiobjective maintenance optimization model are analyzed by a numerical example.

关键词： monitoring continuously multiobjective decision maintenance optimization availability cost normalized ideal point method.

Satellite range scheduling with the priority constraint: An improved genetic algorithm using a station ID encoding method

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Chinese Journal of Aeronautics 2015年第3期28卷 789-803页

作者： Li Yuqing wang rixin Liu Yu Xu Minqiang Deep Space Exploration Research Center Harbin Institute of Technology Harbin University of Commerce

Abstract Satellite range scheduling with the priority constraint is one of the most important prob lems in the field of satellite operation. This paper proposes a station coding based genetic algorithm to solve this problem, which adopts a new chromosome encoding method that arranges tasks according to the ground station ID. The new encoding method contributes to reducing the complex ity in conflict checking and resolving, and helps to improve the ability to find optimal resolutions. Three different selection operators are designed to match the new encoding strategy, namely ran dom selection, greedy selection, and roulette selection. To demonstrate the benefits of the improved genetic algorithm, a basic genetic algorithm is designed in which two cross operators are presented, a singlepoint crossover and a multipoint crossover. For the purpose of algorithm test and analysis, a problemgenerating program is designed, which can simulate problems by modeling features encountered in realworld problems. Based on the problem generator, computational results and analysis are made and illustrated for the scheduling of multiple ground stations.

关键词： Genetic algorithm Ground space scheduling Priority Satellite range scheduling Space communication

Model-Based Degree Estimation of Unbalance and Misalignment in Flexible Coupling-rotor System

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Chinese Journal of Mechanical Engineering 2009年第4期22卷 550-556页

作者： LI Changyou XU Minqiang GUO Song wang Yuewu wang rixin School of Astronautics Harbin Institute of Technology Harbin 150001 China School of Computer Science and Technology Harbin Engineering University Harbin 150001 China School ofMechanicalEngineering andAutomation Northeastern University Shenyang 110004 China

The condition of rotor system must be assessed in order to develop condition-based maintenance for rotating machinery. It is determined by multiple variables such as unbalance degree, misalignment degree, the amount of bending deformation of the shaft, occurrence of shaft crack of rotor system and so on. The estimation of the degrees of unbalance and misalignment in flexible coupling-rotor system is discussed. The model-based approach is employed to solve this problem. The models of the equivalent external loads for unbalance and misalignment are derived and analyzed. Then, the degrees of unbalance and misalignment are estimated by analyzing the components of the equivalent external loads of which the frequencies are equal to the 1 and 2 times running frequency respectively. The equivalent external loads are calculated according to the dynamic equation of the original rotor system and the differences between the dynamical responses in normal case and the vibrations when the degree of unbalance or misalignment or both changes. The denoise method based on bandpass filter is used to decrease the effect of noise on the estimation accuracy. The numerical examples are given to show that the proposed approach can estimate the degrees of unbalance and misalignment of the flexible coupling-rotor system accurately.

关键词： model-based approach degree estimation misalignment unbalance rotor system flexible coupling

Fault detection of flywheel system based on clustering and principal component analysis

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Chinese Journal of Aeronautics 2015年第6期28卷 1676-1688页

作者： wang rixin Gong Xuebing Xu Minqiang Li Yuqing Deep Space Exploration Research Center Harbin Institute of Technology

Considering the nonlinear, multifunctional properties of double-flywheel with closed- loop control, a two-step method including clustering and principal component analysis is proposed to detect the two faults in the multifunctional flywheels. At the first step of the proposed algorithm, clustering is taken as feature recognition to check the instructions of ＂integrated power and attitude control＂ system, such as attitude control, energy storage or energy discharge. These commands will ask the flywheel system to work in different operation modes. Therefore, the relationship of parameters in different operations can define the cluster structure of training data. Ordering points to identify the clustering structure （OPTICS） can automatically identify these clusters by the reachability-plot. K-means algorithm can divide the training data into the corresponding operations according to the teachability-plot. Finally, the last step of proposed model is used to define the rela- tionship of parameters in each operation through the principal component analysis （PCA） method. Compared with the PCA model, the proposed approach is capable of identifying the new clusters and learning the new behavior of incoming data. The simulation results show that it can effectively detect the faults in the multifunctional flywheels system.

关键词： Attitude control Cluster analysis Energy storage Fault detection Flywheels