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Facile fabrication of Fe/Zr binary MOFs for arsenic removal in water:High capacity,fast kinetics and good reusability

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Journal of Environmental Sciences 2023年第6期128卷 213-223页

作者： Qi Guo Yuan Li Li-Wei Zheng xiao-yangwei Yan Xu Yi-Wen Shen Ke-Gang Zhang Chun-Gang Yuan Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science&EngineeringNorth China Electric Power UniversityBaoding 071000China Wetland Research Center for Baiyangdian Lake North China Electric Power UniversityBaoding 071000China

A water-stable bimetallic Fe/Zrmetal-organic framework[UiO-66(Fe/Zr)]for exceptional decontamination of arsenic in water was fabricated through a facile one-step strategy.The batch adsorption experiments revealed the excellent performances with ultrafast adsorption kinetics due to the synergistic effects of two functional centers and large surface area(498.33 m^(2)/g).The absorption capacity of UiO-66(Fe/Zr)for arsenate[As(V)]and arsenite[As(III)]reached as high as 204.1 mg/g and 101.7 mg/g,respectively.Langmuir model was suitable to describe the adsorption behaviors of arsenic on UiO-66(Fe/Zr).The fast kinetics(adsorption equilibrium in 30min,10mg/L As)and pseudo-second-ordermodel implied the strong chemisorption between arsenic ions and UiO-66(Fe/Zr),which was further confirmed by DFT theoretical calculations.The results of FT-IR,XPS analysis and TCLP test demonstrated that arsenic was immobilized on the surface of UiO-66(Fe/Zr)through Fe/Zr-O-As bonds,and the leaching rates of the adsorbed As(III)and As(V)from the spent adsorbent were only 5.6%and 1.4%,respectively.UiO-66(Fe/Zr)can be regenerated for five cycles without obvious removal efficiency decrease.The original arsenic(1.0mg/L)in lake and tapwater was effectively removed in 2.0 hr[99.0%of As(III)and 99.8%of As(V)].The bimetallic UiO-66(Fe/Zr)has great potentials in water deep purification of arsenic with fast kinetics and high capacity.

关键词： Arsenic Removal Metal-organic frameworks Bimetallic

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基于CSO-LSSVM模型的选择性激光烧结成型工艺参数优化

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制造技术与机床 2024年第3期 147-155页

作者：蒋成雷李健肖亚宁郭艳玲王扬威东北林业大学机电工程学院黑龙江哈尔滨150040

成型收缩是影响选择性激光烧结技术(selective laser sintering,SLS)制件精度的关键因素,而工艺参数对材料烧结情况和收缩变形程度有着明显影响,因此选择合理的参数组合对减小精度误差和改善成型性能质量有着重要意义。为降低SLS成型件... 详细信息

成型收缩是影响选择性激光烧结技术(selective laser sintering,SLS)制件精度的关键因素,而工艺参数对材料烧结情况和收缩变形程度有着明显影响,因此选择合理的参数组合对减小精度误差和改善成型性能质量有着重要意义。为降低SLS成型件工艺参数优化试验成本,文章开发了一种名为CSO-LSSVM成型精度预测模型用于工艺参数的预测。该模型的设计思路是:首先,通过Sine映射、非线性切换因子和针孔成像反向学习等3种改进策略全方面协调增强了蛇优化器(snake optimizer,SO)的收敛精度和寻优速度,接着,将改进后的蛇优化器(chaotic multi-strategy enhanced snake optimizer,CSO)与最小二乘支持向量机(least square support vector machine,LSSVM)结合,整定关键核函数参数,提高模型预测精度和泛化能力。为验证CSO-LSSVM模型的有效性和优越性,利用Matlab软件在真实数据集基础上将其与LSSVM、BP(back propagation)神经网络以及极限学习机(extreme learning machine,ELM)模型进行对比。结果表明:文中所提方法具有更高的预测精度,其误差评价指标均方根误差、平均绝对百分比误差和平均绝对误差分别为0.5462、9.4877、0.4017。该模型可为SLS成型加工提供最优工艺参数,有效指导加工。

关键词：选择性激光烧结蛇优化器最小二乘支持向量机成型精度优化

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基于改进型预估FOPID的选择性激光烧结预热温度控制研究

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制造技术与机床 2024年第1期 32-40页

作者：崔昊郭艳玲肖亚宁蒋成雷李健王扬威东北林业大学机电工程学院黑龙江哈尔滨150040

针对选择性激光烧结(SLS)过程中预热温度控制的非线性不确定性和时延滞后等问题,本研究提出了一种改进预估分数阶比例-积分-微分(FOPID)控制器用于温度控制。该控制器首先整合了Smith预估器以消除纯时滞环节产生的震荡,提高被控系统的... 详细信息

针对选择性激光烧结(SLS)过程中预热温度控制的非线性不确定性和时延滞后等问题,本研究提出了一种改进预估分数阶比例-积分-微分(FOPID)控制器用于温度控制。该控制器首先整合了Smith预估器以消除纯时滞环节产生的震荡,提高被控系统的鲁棒性;然后提出了一种新颖的敏感参数自整定方法,即增强型混合阿奎拉优化器(EAOCBO)用于对预估FOPID控制器的模型参数进行最优设计。阿奎拉优化器(AO)是一种仿生智能算法,为克服其探索和开发阶段的不平衡以及易于陷入局部最优的缺陷,引入了白冠鸡优化算法中的领导者更新机制,自适应切换系数以及折射反向学习策略,在9个IEEE CEC2017测试函数中,EAOCBO的优化表现相较于其他对比算法有着显著增强。为了验证所提出的EAOCBO-Smith预估FOPID控制器的有效性,通过Matlab/Simulink软件仿真分析了单位阶跃信号下的动态响应特性并将其进一步应用于烧结样机开展成型效果试验。结果表明,所提的控制方法相较于其他先进的FOPID控制器有着更低的调节时间和稳态误差,这表明了其出色的响应速度和控制精度,同时,EAOCBO-Smith预估FOPID控制器在实际应用中也能精确地控制预热温度,改善温度场的均匀性,进而提高成型件的尺寸精度。

关键词：选择性激光烧结分数阶PID Smith预估器阿奎拉优化器参数自整定

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An Improved Gorilla Troops Optimizer Based on Lens Opposition-Based Learning and Adaptive β-Hill Climbing for Global Optimization

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Computer Modeling in Engineering & Sciences 2022年第5期130卷 815-850页

作者： Yaning xiao Xue Sun Yanling Guo Sanping Li Yapeng Zhang yangwei Wang College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China

Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.

关键词： Gorilla troops optimizer circle chaotic mapping lens opposition-based learning adaptiveβ-hill climbing

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Enhanced Harris Hawks Optimization Integrated with Coot Bird Optimization for Solving Continuous Numerical Optimization Problems

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Computer Modeling in Engineering & Sciences 2023年第11期137卷 1635-1675页

作者： Hao Cui Yanling Guo Yaning xiao yangwei Wang Jian Li Yapeng Zhang Haoyu Zhang College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China

Harris Hawks Optimization(HHO)is a novel meta-heuristic algorithm that imitates the predation characteristics of Harris Hawk and combines Lévy flight to solve complex multidimensional problems.Nevertheless,the basic HHO algorithm still has certain limitations,including the tendency to fall into the local optima and poor convergence accuracy.Coot Bird Optimization(CBO)is another new swarm-based optimization algorithm.CBO originates from the regular and irregular motion of a bird called Coot on the water’s surface.Although the framework of CBO is slightly complicated,it has outstanding exploration potential and excellent capability to avoid falling into local optimal solutions.This paper proposes a novel enhanced hybrid algorithm based on the basic HHO and CBO named Enhanced Harris Hawks Optimization Integrated with Coot Bird Optimization(EHHOCBO).EHHOCBO can provide higher-quality solutions for numerical optimization problems.It first embeds the leadership mechanism of CBO into the population initialization process of HHO.This way can take full advantage of the valuable solution information to provide a good foundation for the global search of the hybrid algorithm.Secondly,the Ensemble Mutation Strategy(EMS)is introduced to generate the mutant candidate positions for consideration,further improving the hybrid algorithm’s exploration trend and population diversity.To further reduce the likelihood of falling into the local optima and speed up the convergence,Refracted Opposition-Based Learning(ROBL)is adopted to update the current optimal solution in the swarm.Using 23 classical benchmark functions and the IEEE CEC2017 test suite,the performance of the proposed EHHOCBO is comprehensively evaluated and compared with eight other basic meta-heuristic algorithms and six improved variants.Experimental results show that EHHOCBO can achieve better solution accuracy,faster convergence speed,and a more robust ability to jump out of local optima than other advanced optimizers in most test cases.Finally,EHHOCBOis applied to ad

关键词： Harris hawks optimization coot bird optimization hybrid ensemblemutation strategy refracted opposition-based learning

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Shared-probe system:An accurate,low-cost and general enzyme-assisted DNA probe system for detection of genetic mutation

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Chinese Chemical Letters 2022年第6期33卷 3043-3048页

作者： Lida Ren Zhihao Ming Wei Zhang yangwei Liao xiaofeng Tang Bei Yan Huimin Lv Xianjin xiao Centre of Reproductive Medicine/Family Planning Research Institute Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Obstetrics and Gynecology Third Hospital of Shanxi Medical University.Shanxi Bethune HospitalShanxi Academy of Medical SciencesTongji Shanxi HospitalTongji Medical College.Huazhong University of Science and TechnologyTaiyuan 030032China

Enzyme assisted DNA probes are powerful tools in molecular diagnostics for their simplicity,rapidity,and low detection limit.However,cost of probes,difficulty in optimization and disturbance of secondary structure hindered the wider application of enzyme assisted DNA probes.To solve the problems,we designed a new system named shared-probe system.By introducing two unlabeled single stranded DNA named Sh1 and Sh2 as the bridge between probe and the substrate,the same sequence of dually labeled probe with stable performance was shared for different mutations,thus sparing the expense and time cost on designing,synthesizing and optimizing corresponding probes.Besides,the hybridization between Sh1 and the substrate could overcome secondary structures,which guaranteed the detection of different substrates.The performance and generality of the design were tested by low abundance detection in synthetic single DNA samples and the limit of detection was 0.05%for PTENR130 Q,EGFR-L858 R and 0.02%for BRCA1-NM007294.3.In genomic DNA samples,the limit of detection of 0.1%can be achieved for EGFR-L858 R,demonstrating the potential of clinical application in our design.

关键词： Nucleic acid probe EndonucleaseⅣ Secondary structure Genomic mutation SNP detection

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Thermodynamics-guided two-way interlocking DNA cascade system for universal multiplexed mutation detection

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Chinese Chemical Letters 2022年第1期33卷 334-338页

作者： Wei Zhang Liquan Liu yangwei Liao Wan Shu xiaofeng Tang Kejun Dong Zhihao Ming Xianjin xiao Hongbo Wang Department of Obstetrics and Gynecology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Institute of Reproductive Health Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China

Detection of point mutations in driver genes is of great significance for the early diagnosis,treatment,and prognostic evaluation of cancer.However,current detection methods do not offer versatility,specificity,and rapid performance simultaneously.Thus,multiple mutation detection processes are necessary,which results in long processing times and high costs.In this study,we developed a thermodynamics-guided two-way interlocking DNA cascade system for universal multiplexed mutation detection(TTI-CS).This strategy is based on the DNA probe,which changes the thermodynamic balance of the DNA cascade by the designed bubble structure,thereby achieving a good distinction between mutant and wild-type DNA.The designed method greatly shortens the detection time through two-way intrusion.In addition,this method only changes two inexpensive trigger and bridge sequences,which replace the specific and expensive nucleic acid probes used in analyses based on traditional DNA probe methods,thereby enabling multiple detections.We performed the detection of synthetic single-stranded DNA for the five mutation points and successfully detected in endometrial cancer specimens.The detection limit of this method is0.1%,which better meets the needs of clinical low-abundance multiple mutation detection.Overall,TTI-CS is currently one of the best methods for detecting multiple mutation detections.

关键词： Nucleic acid probes DNA cascade system Universality Low-abundance Multiple mutation detection

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Short-DNA Specific Blocker PCR for Efficient and Simple Enrichment of Cell Free Fetal DNAs with Short Lengths

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Chinese Journal of Chemistry 2021年第8期39卷 2101-2106页

作者： yangwei Liao xiaofeng Tang Zhihao Ming Lida Ren Wei Zhang Xianjin xiao Institute of Reproductive Health Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubei 430030China NHC Key Laboratory of Birth Defect for Research and Prevention(Hunan Provincial Maternal and Child Health Care Hospital) ChangshaHunan 410008China

As an inn ate characteristic,DNA length has attracted more and more atte ntion.The length of some import ant biomarkers such as ctDNA(Circulating tumor DNA)and cffDNA(Cell free fetal DNA)is shorter than that of cell-free DNA.Researchers have utilized the differe nee in length to in crease the abunda nee of ctDNA or cffDNA in total cell-free DNA to overcome the difficulties in detecti on due to their low abundance.

关键词： DNA Enrichment Polymerase chain reaction Gene seque ncing Non-invasive prenatal testing

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习近平总书记关于传承红色基因的重要论述研究

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赣南师范大学学报 2022年第2期43卷 1-6页

作者：肖扬伟赣南师范大学马克思主义学院江西赣州341000

党的十八大以来,习近平总书记站在中华民族伟大复兴的高度,对赓续红色血脉、传承红色基因作了一系列重要论述,这些重要论述具有深刻的理论逻辑、历史逻辑和现实逻辑,蕴含着坚定的理想信念、忠诚于党和国家、以人民为中心、与时俱进等核... 详细信息

党的十八大以来,习近平总书记站在中华民族伟大复兴的高度,对赓续红色血脉、传承红色基因作了一系列重要论述,这些重要论述具有深刻的理论逻辑、历史逻辑和现实逻辑,蕴含着坚定的理想信念、忠诚于党和国家、以人民为中心、与时俱进等核心要义。习近平总书记关于传承红色基因的重要论述对于推动红色基因传承、实现中华民族伟大复兴、进行思想政治教育、回击历史虚无主义具有重大的价值。

关键词：习近平红色基因文化传承价值

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丧亲者悲伤评估工具研究进展

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上海护理 2023年第6期23卷 56-60页

作者：王杨威肖威深圳市宝安区中心医院广东深圳518000 枝江市人民医院湖北枝江443200

本文对国内外丧亲者悲伤评估工具的发展过程、测量内容、信度、效度,使用方法及应用现状等内容进行综述,旨在为国内学者测评丧亲者悲伤程度选择合适工具和研发符合我国人群特征的丧亲者悲伤测评工具提供参考。

关键词：丧亲者悲伤评估工具量表信效度综述

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