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Exploration of the Exceptional Capacitive Deionization Performance of CoMn_(2)O_(4) Microspheres Electrode

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Energy & Environmental Materials 2023年第1期6卷 119-128页

作者： zhenzhen liu Haibo Li Ningxia Key Laboratory of Photovoltaic Materials Ningxia UniversityYinchuan 750021China

The“battery type”inorganic electrode has been demonstrated the highly efficient sodium ion intercalation capacity for capacitive *** this work,the CoMn_(2)O_(4)(CMO)microspheres with porous core-shell structure are prepared via co-precipitation and followed by *** effects of annealing temperatures on the morphology,pore structure,valence state,and electrochemical behavior of CMO are *** electrode for capacitive deionization,the salt removal capacity and current efficiency of optimized AC||CMO device reaches up to 60.7 mg g^(−1) and 97.6%,respectively,and the capacity retention rate is 74.1%after 50 ***,both the in-situ X-ray diffraction and ex-situ X-ray diffraction analysis features that the intercalation/de-intercalation of sodium ions are governed by(103)and(221)crystal planes of ***,the density functional theory calculations realize that the adsorption energies of Na+onto(103)and(221)crystal planes are higher than that of any other crystal planes,manifesting the priorities in adsorption of sodium ***,the X-ray photoelectron spectra of pristine and post-CMO electrode highlights that the reversible conversion of Mn^(3+)/Mn^(4+)couple is resulted from the intercalation/de-intercalation of Na^(+),while this is irreversible for Co^(3+)/Co^(2+)*** that,the CMO electrode has been proven the selectivity removal of Na^(+) over K^(+)and Mg^(2+)in a multi-cation stream.

关键词： capacitive deionization desalination electrosorption microspheres

外套方钢管夹层混凝土加固方CFST柱压弯承载力计算方法

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防灾减灾工程学报 2025年第1期45卷 47-58页

作者：卢亦焱柳永达刘真真马文涛祝涛武汉大学土木建筑工程学院湖北武汉430072

为研究外套方钢管夹层混凝土加固方钢管混凝土(CFST)柱的压弯承载力,进行3个原CFST柱和7个外套方钢管夹层混凝土加固方CFST柱(组合加固柱)试件的偏压试验,分析了试件的破坏形态和荷载—跨中挠度曲线。在试验基础上,通过纤维模型法对258... 详细信息

为研究外套方钢管夹层混凝土加固方钢管混凝土(CFST)柱的压弯承载力,进行3个原CFST柱和7个外套方钢管夹层混凝土加固方CFST柱(组合加固柱)试件的偏压试验,分析了试件的破坏形态和荷载—跨中挠度曲线。在试验基础上,通过纤维模型法对258个组合加固柱进行参数分析,分析了夹层混凝土强度、外套钢管厚度和屈服强度对组合加固柱N/N_(u)-M/M_(u)曲线的影响。研究结果表明:原CFST柱和组合加固柱的破坏形态基本一致,均为典型的弯曲型破坏,组合加固柱加固部分与原CFST柱变形协调良好;夹层混凝土强度的提高、外套钢管厚度和屈服强度的降低使试件N/N_(u)-M/M_(u)曲线呈现外凸趋势;在这些因素当中,夹层混凝土强度对平衡点位置影响效果最显著,钢管厚度和屈服强度对平衡点位置影响不大。基于试验和数值模拟结果,提出了组合加固柱压弯承载力计算方法。通过公式得到的压弯承载力计算值与试验值、纤维模型法模拟值的误差均在10%以内,表明计算方法可准确预测外套方钢管夹层混凝土加固方CFST柱压弯承载力,为工程应用提供参考。

关键词：外套钢管夹层混凝土钢管混凝土柱纤维模型法 N/N_(u)-M/M_(u)曲线

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多粒子运动追踪算法污染度检测技术研究

机械设计与制造 2025年第1期407卷 1-4页

作者：王涵左洪福刘珍珍耿聪南京航空航天大学民航学院江苏南京211106 航空工业(新乡)计测科技有限公司河南新乡453000

油液污染度监测机械设备的常规检测手段之一,基于磨粒图像分析原理的污染度检测计数是其中广泛应用的一种技术。为得到高精度和高重复率的污染度检测结果,避免对连续图像样本中的相同粒子重复计数,提出一种基于多粒子追踪算法的颗粒计... 详细信息

油液污染度监测机械设备的常规检测手段之一,基于磨粒图像分析原理的污染度检测计数是其中广泛应用的一种技术。为得到高精度和高重复率的污染度检测结果,避免对连续图像样本中的相同粒子重复计数,提出一种基于多粒子追踪算法的颗粒计数方法。首先应用高斯混合模型背景差分进行运动颗粒提取。然后运用卡尔曼滤波进行目标预测和运用匈牙利算法进行目标匹配,得到相应的颗粒计数值。最后对污染浓度进行校正,得到污染度计量结果。使用含标准颗粒物实验样本油进行测试,最终结果均满足JJG 1061-2010标准,其中粒径>4μm、>6μm、>14μm颗粒测量值的计数误差和计数重复度均满足标准要求,证明了所提出的检测算法的有效性。

关键词：颗粒计数多粒子运动追踪污染度检测

A combinatorial synthesis method for identification of orally bioavailable cyclic peptide

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Science China Chemistry 2024年第8期67卷 2429-2430页

作者： zhenzhen liu Li liu Bo Tang College of Chemistry Chemical Engineering and Materials ScienceKey Laboratory of Molecular and Nano ProbesMinistry of EducationCollaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of ShandongInstitutes of Biomedical SciencesShandong Normal UniversityJinan 250014China Laoshan Laboratory Qingdao 266237China

Cyclic peptides are a type of polypeptide with macrocyclic structure formed by canonical and non-canonical amino *** to their rigid conformation and large surface area,cyclic peptides typically exhibit high binding affinity and specificity with target proteins,particularly those considered undruggable by traditional small molecule drugs,such as protein-protein interactions[1].Additionally,they are convenient to be chemical modified to improve the pharmacological or pharmacokinetic properties.

关键词： properties. canonical synthesis

Fluorescence triggered by ligand-protein hydrophobic interaction

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Science China Chemistry 2013年第11期56卷 1667-1670页

作者： liu zhenzhen DU LuPei LI MinYong Department of Medicinal Chemistry School of PharmacyShandong University

Hydrophobic fluorescence:Tan and his colleagues recently introduced a brand new chemotype of environment-sensitive fluorescent turn-on probes to detect the hydrophobic ligand-binding domain by using SBD *** design strategy described in this report generalized the environment sensitivity turn-on mechanism to recognize a specific protein,which provides a robust breakthrough for interchanging fluorescence in conventional small-molecule fluorescent imaging.

关键词： non-enzyme protein environment-sensitive probe turn-on fluorescence SBD fluorophore

Convergence analysis and performance optimization of parallel concatenated systematic polar code

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The Journal of China Universities of Posts and Telecommunications 2018年第2期25卷 1-9页

作者： liu zhenzhen Niu Kai Dong Chao Lin Jiaru School of Information and Communication Engineering Beijing University of Posts and Telecommunications

Similar to the analysis of Turbo codes, the parallel concatenated systematic polar code （PCSPC） can also be analyzed by the extrinsic information transfer （EXIT） chart. The convergence of the iterative decoding based on soft cancellation （SCAN） and belief propagation （BP） of PCSPC are analyzed by the EXIT chart. Analysis shows that SCAN decoder is more appropriate than BP decoder for this iterative decoding structure in terms of complexity. In addition, the weight coefficients of the iterative decoding structure are optimized by the simulated-EXIT （S- EXIT） chart, which improves the performance of PCSPC.

关键词： PCSPC EXIT chart SCAN decoder BP decoder weight coefficient

An RDF Data Set Quality Assessment Mechanism for Decentralized Systems

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Data Intelligence 2020年第4期2卷 529-553页

作者： Li Huang zhenzhen liu Fangfang Xu Jinguang Gu Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and TechnologyWuhan 430065China College of Computer Science and Technology Wuhan University of Science and TechnologyWuhan 430065China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content State Administration of Radio and TelevisionBeijing 100038China

With the rapid growth of the linked data on the Web,the quality assessment of the RDF data set becomes particularly important,especially for the quality and accessibility of the linked *** most cases,RDF data sets are shared online,leading to a high maintenance cost for the quality *** also potentially pollutes Internet *** blockchain technology has shown the potential in many *** the blockchain storage quality assessment results can reduce the centralization of the authority,and the quality assessment results have characteristics such as *** this end,we propose an RDF data quality assessment model in a decentralized environment,pointing out a new dimension of RDF data *** use the blockchain to record the data quality assessment results and design a detailed update strategy for the quality assessment *** have implemented a system DCQA to test and verify the feasibility of the quality assessment *** proposed method can provide users with better cost-effective results when knowledge is independently protected.

关键词： Decentralization Quality assessment Blockchain RDF data set

Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification

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The Crop Journal 2022年第5期10卷 1435-1451页

作者： Lijun Wang Jiayao Wang zhenzhen liu Jun Zhu Fen Qin Henan Industrial Technology Academy of Spatio-Temporal Big Data Henan UniversityKaifeng 475004HenanChina College of Geography and Environmental Science Henan UniversityKaifeng 475004HenanChina Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions Ministry of EducationHenan UniversityKaifeng 475004HenanChina Key Research Institute of Yellow River Civilization and Sustainable Development Ministry of EducationHenan UniversityKaifeng 475004HenanChina Henan Technology Innovation Center of Spatial-Temporal Big Data Henan UniversityKaifeng 475004HenanChina

High-resolution deep-learning-based remote-sensing imagery analysis has been widely used in land-use and crop-classification mapping. However, the influence of composite feature bands, including complex feature indices arising from different sensors on the backbone, patch size, and predictions in transferable deep models require further testing. The experiments were conducted in six sites in Henan province from2019 to 2021. This study sought to enable the transfer of classification models across regions and years for Sentinel-2 A(10-m resolution) and Gaofen PMS(2-m resolution) imagery. With feature selection and up-sampling of small samples, the performance of UNet++ architecture on five backbones and four patch sizes was examined. Joint loss, mean Intersection over Union(m Io U), and epoch time were analyzed, and the optimal backbone and patch size for both sensors were Timm-Reg Net Y-320 and 256 × 256, respectively. The overall accuracy and Fscores of the Sentinel-2 A predictions ranged from 96.86% to 97.72%and 71.29% to 80.75%, respectively, compared to 75.34%–97.72% and 54.89%–73.25% for the Gaofen predictions. The accuracies of each site indicated that patch size exerted a greater influence on model performance than the backbone. The feature-selection-based predictions with UNet++ architecture and upsampling of minor classes demonstrated the capabilities of deep-learning generalization for classifying complex ground objects, offering improved performance compared to the UNet, Deeplab V3+, Random Forest, and Object-Oriented Classification models. In addition to the overall accuracy, confusion matrices,precision, recall, and F1 scores should be evaluated for minor land-cover types. This study contributes to large-scale, dynamic, and near-real-time land-use and crop mapping by integrating deep learning and multi-source remote-sensing imagery.

关键词： Land use and crop classification Deep learning High-resolution image Feature selection UNet++

Discovery of nitric oxide in marine ecological system and the chemical characteristics of nitric oxide

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Science China Chemistry 2006年第5期49卷 475-480页

作者： ZHANG Zhengbin XING Lei WU zhenzhen liu Chunying LIN Cai liu Liansheng Institute of Marine Chemistry Ocean University of China Qingdao 266003 China Institute of Marine Chemistry Ocean University of China Qingdao 266003 China Institute of Marine Chemistry Ocean University of China Qingdao 266003 China Institute of Marine Chemistry Ocean University of China Qingdao 266003 China Institute of Marine Chemistry Ocean University of China Qingdao 266003 China Institute of Marine Chemistry Ocean University of China Qingdao 266003 China

Nitric oxide was discovered in both the lab and the alga culture pond of Daya Bay (1―300 m3) before the growth of alga reached the maximum. The results included: (1) NO was detected before the growth of alga reached the maximum in the case of red tide alga and food alga, and the concentration of NO decreased rapidly after the growth maximum; (2) the curve between NO con-centration and time indicated that the concentration of NO in the daytime was more than that at night, and the maximal concentration of NO appeared in the midday (1―3 pm); (3) the growth of alga reached the maximum in the alga culture pond of Daya Bay in about 8―10 d, and NO was discovered in 5―7 d; (4) the measured NO concentration was 10-9 mol/L, 10-9―10-8 mol/L, and 10-8 mol/L for Haeterosigma akashiwo, mixed alga in Daya Bay and Chaetoceros Curvisetus individually; (5) the relation of illumination with NO production was discussed.

关键词： marine ecological system, the detection of nitric oxide, red tide alga, the chemical characteristics of nitric oxide production.