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南极磷虾基调味料研究进展

食品安全质量检测学报 2024年第5期15卷 105-112页

作者：刘葭萌赵前程张忭忭刘志东大连海洋大学食品科学与工程学院大连116023 中国水产科学研究院东海水产研究所上海200090

南极磷虾是一种重要的海洋生物资源,生物资源量巨大。在食品领域,南极磷虾因其味道鲜美、营养丰富而备受青睐。由于其富含蛋白质、脂质、肽类、氨基酸、核苷酸、有机酸、甜菜碱、氨基葡萄糖等呈味物质以及矿物元素等呈味物质助剂,已经... 详细信息

南极磷虾是一种重要的海洋生物资源,生物资源量巨大。在食品领域,南极磷虾因其味道鲜美、营养丰富而备受青睐。由于其富含蛋白质、脂质、肽类、氨基酸、核苷酸、有机酸、甜菜碱、氨基葡萄糖等呈味物质以及矿物元素等呈味物质助剂,已经成为开发南极磷虾基调味料的良好来源。随着人们对健康饮食的关注日益增加,对于天然来源、营养丰富食材的需求不断提升,南极磷虾基调味料的应用前景十分广阔。积极推动南极磷虾基调味料的研发和创新,有望为南极磷虾产业注入新的活力,助推其可持续发展。本文综述了南极磷虾基调味料的呈味物质来源、制备方法、开发现状,并预测了其发展趋势,旨在为南极磷虾基调味料及南极磷虾产业的全面发展提供有力技术支持。

关键词：南极磷虾调味料呈味物质现状趋势

Green synthesis of luminescent La-MOF nanoparticle from waste poly(ethylene terephthalate) for high-performance in Fe(Ⅲ) detection

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Rare Metals 2024年第8期43卷 3833-3843页

作者： zhi Gong zhi-Kui Dai zhi-Yue dong Qiu-Xuan liu Valentin A.Milichko Hua-Jian liu Jie liu Ran Niu Jiang Gong Key Laboratory of Material Chemistry for Energy Conversion and Storage Hubei Key Laboratory of Material Chemistry and Service FailureHubei Engineering Research Center for Biomaterials and Medical Protective MaterialsSemiconductor Chemistry CenterSchool of Chemistry and Chemical EngineeringMinistry of EducationHuazhong University of Science and Technology School of Chemical Engineering and Pharmacy Wuhan Institute of Technology Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry Ministry of Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules and College of Chemistry and Chemical EngineeringHubei University School of Physics and Engineering ITMO University School of Materials Science and Engineering Hubei University Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing School of Mechanical and Automotive EngineeringKey Laboratory of Polymer Processing EngineeringMinistry of EducationSouth China University of Technology

Developing luminescent metal-organic frameworks（MOFs） capable of high-efficiency Fe3+sensing has aroused great attraction in the fields of biology,chemistry,***,previous solvothermal methods are limited by organic solvent usage,time consuming,high pressure,and high-energy ***,we propose the waste-toMOF strategy towards the scale-up production of La-MOF nanoparticles through the ball milling of recycled poly（-ethylene terephthalate）(PET) bottles and La（NO3）3·*** goes on alkaline hydrolysis to form 1,4-benzenedicarboxylic acid sodium salt（Na2BDC） and ethylene glycol by ball ***,BDC reacts with La3+to form *** as-prepared La-MOF crystal nanoparticles possess a rod-like morphology with the size of few hundred ***,La-MOF nanoparticles display high selectivity and sensitivity for Fe3+*** quenching constant and limit of detection are 5.29×10～3(mol·L-1)-1and 0.147 μmol·L-1,respectively,thus surpassing many advanced Fe3+*** to the result of density functional theory,the high Fe3+detection performance of La-MOF is related to the complexing of Fe3+with La-MOF,which leads to the gradual dissociation of the coordination bond between terephthalic acid and La3+.It is anticipated that the mechanochemistry milling-based wasteto-MOF strategy provides a new platform for the massive production of functional MOFs in a green manner.

关键词： Metal–organic framework Waste polyester Mechanochemistry milling Fluorescence sensor

Enhanced memristor performance via coupling effect of oxygen vacancy and ferroelectric polarization

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Journal of Materials Science & Technology 2024年第4期171卷 139-146页

作者： zhi Yun Yue zhi dong Zhang Zhan Jie Wang Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China School of Materials Science and Engineering Shenyang University of TechnologyShenyang 110870China

As a new type of nonvolatile memory,the resistive memristor has broad application prospects in in-formation storage and neural computing based on its excellent resistive switching(RS)*** present,it is still a great challenge to improve both ferroelectric polarization and leakage current to achieve a high RS on/offratio of ferroelectric ***,epitaxial Pb(Zr_(0.40)Ti_(0.60))O_(3)(PZT)thin films with low content Ca doping were deposited on the Nb:SrTiO_(3)substrate to prepare PCZT/NSTO het-erostructures and their RS behaviors were *** research findings show that compared with pure PZT film,the ferroelectric polarization of 1-mol%-Ca-doped PZT film is slightly improved,while the leak-age current is increased by three orders of ***,the RS on/offratio reaches 2.5×10^(5),about three orders of magnitude higher than pure PZT *** theoretical analysis reveals that the RS behavior of PCZT/NSTO heterostructures is controlled by the PCZT/NSTO interfacial barrier and the space charge-limited current *** results demonstrate that the ferroelectricity and electricity of ferroelectric thin films can be improved simultaneously by doping low-content Ca ions to increase the RS performance,which provides a good reference for the development of high-performance ferroelectric memristor devices.

关键词： Ferroelectric memristor Ca-doped PZT Ferroelectric polarization Oxygen vacancies Resistive switching

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国产磁选态铯束频率标准环境特性研究

时间频率学报 2024年第1期47卷 1-7页

作者：郑宁张亮郝莉娜王骥杨军刘志栋陈江高望远兰州空间技术物理研究所真空技术与物理重点实验室兰州730000 战略支援部队航天系统部装备部装备保障队北京100000

铯原子频率标准具有长期稳定性好、可靠性高的优点,在导航定位、守时授时、通信电力、时频计量等领域有着广泛的应用。近年来由于军事领域对高精度时间频率源的需求,铯原子频标的使用环境从实验室走向了战车、舰船等机动平台。本文针对... 详细信息

铯原子频率标准具有长期稳定性好、可靠性高的优点,在导航定位、守时授时、通信电力、时频计量等领域有着广泛的应用。近年来由于军事领域对高精度时间频率源的需求,铯原子频标的使用环境从实验室走向了战车、舰船等机动平台。本文针对铯原子频标在战车、舰船、高原等复杂环境下的环境适应性,研究环境因素对整机指标的影响机理。通过仿真与试验对整钟设计进行优化,以提高整机在力学、热、磁场、低气压等复杂环境下的适应性。经过优化设计后的国产铯束频率标准样机通过了相关环境试验项目的考核,各项指标均满足要求。研究结果表明,铯原子钟电性能样机的稳定度优于8.73×10^(-15)/5 d,磁敏感度3.15×10^(-14)/Gauss,工作温度特性-8.18×10^(-14),这项工作为国产化铯钟的进一步应用提供了基础。

关键词：国产铯束频率标准环境适应性振动低气压稳定度

TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods

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Journal of Iron and Steel Research(International) 2024年第1期31卷 174-194页

作者： Tian-yi Xie Cai-dong Zhang Quan-lin Zhou zhi-qiang Tian Shuai liu Han-jie Guo Material Technology Research Institute Hesteel GroupShijiazhuang050023HebeiChina Tangsteel Company Hesteel GroupTangshan063611HebeiChina School of Artificial Intelligence Beijing Technology and Business UniversityBeijing100048China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

Mathematical(data-driven)models based on state-of-the-art(SOTA)machine learning and deep learning models and data collected from 12,786 heats were established to predict the values of temperature,sample,and carbon(TSC)test,including temperature of molten steel(TSC-Temp),carbon content(TSC-C)and phosphorus content(TSC-P),which made prepa-ration for eliminating the TSC *** maximize the prediction accuracy of the proposed approach,various models with different inputs were implemented and compared,and the best models were applied to the production process of a Hesteel Group steelmaking plant in China in the *** number of tabular features(hot metal information,scrap,additives,blowing practices,and preset values)was expanded,and time series(off-gas profiles and blowing practice curves)that could reflect the entire steelmaking process were introduced as ***,the latest machine learning models(LightGBM,CatBoost,TabNet,and NODE)were used to make predictions with tabular features,and the best coefficient of determination R^(2)values obtained for TSC-P,TSC-C and TSC-Temp predictions were 0.435(LightGBM),0.857(Cat-Boost)and 0.678(LightGBM),respectively,which were higher than those of classic models(backpropagation and support vector machine).Then,making predictions was performed by using SOTA time series regression models(SCINet,DLinear,Informer,and MLSTM-FCN)with original time series,SOTA image regression models(NesT,CaiT,ResNeXt,and GoogLeNet)with resized time series,and the proposed Concatenate-Model and Parallel-Model with both tabular features and time *** optimization and comparisons,it was finally determined that the Concatenate-Model with MLSTM-FCN,SCINet and Informer as feature extractors performed the best,and its R^(2)values for predicting TSC-P,TSC-C and TSC-Temp reached 0.470,0.858 and 0.710,*** field test accuracies for TSC-P,TSC-C and TSC-Temp were 0.459,0.850 and 0.685,respectively.A related importance analysis was carri

关键词： BOF steelmaking In-blow prediction TSC test Machine learning Deep learning Field application

Modeling urban scale human mobility through big data analysis and machinelearning

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Building Simulation 2024年第1期17卷 3-21页

作者： Yapan liu Bing dong Department of Mechanical&Aerospace Engineering Syracuse University263 Link HallSyracuseNY 13244USA

In the United States,the buildings sector consumes about 76%of electricity use and 40% of all primary energy use and associated greenhouse gas *** behavior has drawn increasing research interests due to its impacts on the building energy ***,occupant behavior study at urban scale remains a challenge,and very limited studies have been *** an effort to couple big data analysis with human mobility modeling,this study has explored urban scale human mobility utilizing three months Global Positioning System(GPS)data of 93,o00 users at Phoenix Metropolitan *** research extracted stay points from raw data,and identified users'home,work,and other locations by Density-Based Spatial Clustering ***,daily mobility patterns were constructed using different types of *** propose a novel approach to predict urban scale daily human mobility patterns with 12-hour prediction horizon,using Long Short-Term Memory(LSTM)neural network *** shows the developed models achieved around 85%average accuracy and about 86%mean *** developed models can be further applied to analyze urban scale occupant behavior,building energy demand and flexibility,and contributed to urban planning.

关键词： urban human mobility big data analysis urban scale occupant behavior recurrent neural networks

Research on Regional Differences and Influencing Factors of China's Carbon Emissions

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Journal of Systems Science and Information 2024年第2期12卷 161-190页

作者： Likang ZHANG Jichang dong zhi dong School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China Technology and Engineering Center for Space Utilization Chinese Academy of SciencesBeijing 100045China

This paper studies the regional differences,dynamic evolution and influencing factors of regional carbon emission intensity(CEI)in 262 cities and 5 regional urban agglomerations(UAs)in *** Dagum Gini coefficient is used to analyze the intra-regional and inter-regional differences in carbon emissions,and the temporal evolution of the absolute differences of CEI among regions is analyzed by means of kernel density estimation(KDE).The paper provides an in-depth study on the spatial difference and temporal evolution of CEI in Chinese cities and major strategic *** Moran index and LISA’s test,the spatial correlation of carbon emission in prefecture-level cities is tested,and its spatial agglomeration characteristics are *** is found that China’s CEI is decreasing year by year,presenting a spatial pattern of“low in the south but high in the north”.Based on the calculation of carbon emission intensity at the urban level,this paper conducts LDMI factor decomposition research on carbon emission intensity at the national and key regions,and analyzes the impact of the impact factors on carbon emission *** research results provide a path for China’s green development at the city level and urban agglomeration level,and a theoretical support for different regions and cities to introduce emission and carbon reduction policies.

关键词： carbon emission intensity regional differences industrial structure

MFG-E8 Alleviates Cognitive Impairments Induced by Chronic Cerebral Hypoperfusion by Phagocytosing Myelin Debris and Promoting Remyelination

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Neuroscience Bulletin 2024年第4期40卷 483-499页

作者： Xiaohong dong zhi Zhang Xin Shu Zi Zhuang Pinyi liu Renyuan liu Shengnan Xia Xinyu Bao Yun Xu Yan Chen Department of Neurology Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjing210008China Department of Neurology Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western MedicineNanjing University of Chinese MedicineNanjing210008China Department of Neurology Drum Tower Hospital of Nanjing Medical UniversityNanjing210008China Jiangsu Key Laboratory for Molecular Medicine Medical School of Nanjing UniversityNanjing210008China Jiangsu Provincial Key Discipline of Neurology Nanjing210008China

Chronic cerebral hypoperfusion is one of the pathophysiological mechanisms contributing to cognitive decline by causing white matter *** phagocytosing myelin debris in a timely manner can promote remyelination and contribute to the repair of white ***,milk fat globule-epidermal growth factor-factor 8(MFG-E8),a microglial phagocytosis-related protein,has not been well studied in hypoperfusion-related cognitive *** found that the expression of MFG-E8 was significantly decreased in the brain of mice after bilateral carotid artery stenosis(BCAS).MFG-E8 knockout mice demonstrated more severe BCAS-induced cognitive impairments in the behavioral *** addition,we discovered that the deletion of MFG-E8 aggravated white matter damage and the destruction of myelin microstructure through fluorescent staining and electron ***,MFG-E8 overexpression by AAV improved white matter injury and increased the number of mature oligodendrocytes after ***,in vitro and in vivo experiments showed that MFG-E8 could enhance the phagocytic function of microglia via theαVβ3/αVβ5/Rac1 pathway and IGF-1 production to promote the differentiation of oligodendrocyte progenitor cells into mature ***,we found that MFG-E8 was mainly derived from astrocytes,not *** findings suggest that MFG-E8 is a potential therapeutic target for cognitive impairments following cerebral hypoperfusion.

关键词： White matter injury Cognitive dysfunction MFG-E8 Remyelination Microglial phagocytosis

Synergic action of linear dispersion, second-order nonlinearity, and third-order nonlinearity in shaping the spectral profile of a femtosecond pulse transporting in a lithium niobate crystal

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Photonics Research 2024年第4期12卷 774-783页

作者： LIHONG HONG YUANYUAN liu zhi-YUAN LI State Key Laboratory of High Field Laser Physics Shanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China School of Physics and Optoelectronics South China University of TechnologyGuangzhou 510640China

We present a detailed theoretical and numerical analysis on the temporal-spectral-spatial evolution of a highpeak-power femtosecond laser pulse in two sets of systems:a pure lithium niobate(LN)plate and a periodically poled lithium niobate(PPLN)*** develop a modified unidimensional pulse propagation model that considers all the prominent linear and nonlinear processes and carried out the simulation process based on an improved split-step Fourier transformation *** theoretically analyze the synergic action of the linear dispersion effect,the second-order nonlinearity(2nd-NL)second-harmonic generation(SHG)effect,and the third-order nonlinearity(3rd-NL)self-phase modulation(SPM)effect,and clarify the physical mechanism underlying the peculiar and diverse spectral broadening patterns previously reported in LN and PPLN thin plate *** analysis and discussion provides a deeper insight into the synergetic contribution of these linear and nonlinear effects brought about by the interaction of a femtosecond laser pulse with the LN nonlinear crystal and helps to draw a picture to fully understand these fruitful optical physical processes,phenomena,and laws.

关键词： pulse nonlinearity lithium