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普惠性民办幼儿园与非营利性民办幼儿园的关系辨析及路径选择

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学前教育研究 2019年第3期 54-70页

作者：魏聪王海英林榕陈红敏南京师范大学教育科学学院南京210097

通过对全国11个省2687位民办幼儿园举办者的问卷调查、对全国23个省(区、市)40位民办幼儿园举办者的正式访谈,本研究发现普惠性民办幼儿园与非营利性民办幼儿园究竟是何关系成为困扰办园者的核心议题,且各级地方政府对二者关系的认识和... 详细信息

通过对全国11个省2687位民办幼儿园举办者的问卷调查、对全国23个省(区、市)40位民办幼儿园举办者的正式访谈,本研究发现普惠性民办幼儿园与非营利性民办幼儿园究竟是何关系成为困扰办园者的核心议题,且各级地方政府对二者关系的认识和定位也不尽相同。随着普惠政策、分类改革的深入推进,厘清二者内涵、辨析二者关系由此成为十分紧迫且具有重要现实价值的研究问题。通过追溯造字之源、查阅法律文本可知,从学理、法理层面而言,二者都传承公益理念,内含仁爱精神,但不属同一范畴;从情理、事理层面分析,二者在政策组合及路径选择时应考虑家长需求,权衡园所资本,立足我国国情。基于对公益普惠价值的追求和坚守、对世界发展潮流的反思和借鉴,在普惠与否和"选营选非"的组合中,普惠与非营利的融合是初心之选,但任重道远;普惠与营利的联姻虽名利双收,但几无可能;其余两种方式可以实践,但也各有优劣。鼓励和支持民办幼儿园加入普惠行列,选择成为非营利性质幼儿园是我国构建学前教育公共服务体系的最佳路径,也是政府应承担的重要主导责任。

关键词：分类管理改革普惠性民办幼儿园非营利性民办幼儿园

A refined representation method of the particle size distribution curve based on grading entropy

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Particuology 2024年第5期88卷 302-311页

作者： Xing Li Qun chen Zhaozhao Liu cheng Zhou chen Wang chen chen State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and HydropowerSichuan UniversityChengdu610065China

The particle size distribution(PSD)curve is an important expression of the basic properties of the *** characteristic parameters such as median particle size D_(50),effective particle size D_(10),and some combinations of characteristic parameters can only represent some points of the PSD curve,failing to represent all information of the PSD *** this paper,a fraction characteristic parameter F that could reflect the fraction size variation of the PSD curve was introduced based on grading *** a new presentation method of the A-B-F three parameters was proposed for a refined representation of the PSD *** was found that the newly constructed model not only better represents the differences in the width of PSD curves but also has a higher sensitivity than the A-B two-parameter model proposed by Lő*** PSD curves with similar distributions,the new presentation method has a higher degree of discrimination than that of the D_(50)-C_(u)-C_(c) three-parameter or the four-parameter combination G_(c) proposed by ***,the application of this new method in describing the spatial nonuniformity distribution of depositions and predicting the soil hydraulic conductivity was *** research results can provide a reference for the refined representation of PSD curves.

关键词： Grading entropy Particle size distribution curve Refined representation

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用微观发生法培养幼儿科学创造力的实验研究

学前教育研究 2007年第7期 41-45页

作者：王瑞明陈红敏佟秀丽莫雷 Zhe chen 华南师范大学心理应用研究中心广州510631 美国加州大学戴维斯分校人类和社区发展系 DavisCA95616

本研究首先探讨了科学创造力的结构模型,然后根据这一结构模型和微观发生法的特点设计了幼儿科学创造力培养的具体方案,并在广州市一所幼儿园进行了为期一年的实验。实验结果表明,不管是从教师评价和家长评价来看,还是从幼儿自身的能力... 详细信息

本研究首先探讨了科学创造力的结构模型,然后根据这一结构模型和微观发生法的特点设计了幼儿科学创造力培养的具体方案,并在广州市一所幼儿园进行了为期一年的实验。实验结果表明,不管是从教师评价和家长评价来看,还是从幼儿自身的能力测验来看,实验班幼儿的科学创造力都得到了很大的发展。

关键词：微观发生法幼儿的科学创造力幼儿科学创造力的培养

Tri-signal colorimetric/electrochemical detection of egg allergen based on boric acid affinity reagent modified CuO nanoparticles

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Food Science and Human Wellness 2024年

作者： Chunlan chen Fengqi Zhou hongmin Zhu Ding Ma Yufan Huang Jing Li Linjiang Guo Lin Xiao Guobao Ning Xiaokang Lu Bilian Li Hui Zhao Can-Peng Li School of Chemical Science and Technology， Yunnan University Laboratory for Conservation and Utilization of Bio-resource， Yunnan University

A tri-signal ultrasensitive colorimetric/electrochemical detection of ovomucoid （OM） was developed. Herein， copper oxide nanoparticles （CuO NPs） were prepared， which exhibit excellent enzyme-like activity （peroxidase-like and laccase-like） and electrochemical activity. CuO@3-APBA nanoparticles （CuO@3-APBA NPs） were prepared by the coordinating Cu with the amino group on 3-aminophenobenic boric acid （3-APBA） in CuO NPs. 3-APBA of CuO@3-APBA can react with diol structure on sugar chain of OM under alkaline conditions. Then， a tri-signal ultrasensitive biosensing platform for OM was established based on the catalytic activity of CuO@3-APBA nanozyme. For the first signal， CuO@3-APBA can catalyze oxidation of TMB to turn the solution from colorless to blue in the presence of H2O2（absorbance at 652 nm）. For the second signal， CuO@3-APBA can catalyze the oxidation of substrates （2， 4-dichlorophenol and 4-aminoantipyrine） and turn the solution from colorless to pink （absorbance at 510 nm）. For the third signal， electrochemical oxidation peak of copper ion from Cu+to Cu2+of CuO@3-APBA was recorded by differential pulse voltammetry， which was used to determine the OM. The sensing platform exhibited a wide linear range （0.0000316-100 ng/mL） with a low detection limit （0.0105 pg/mL）， as well as showed advantages， such as satisfactory reproducibility， good stability， and excellent selectivity. The assay has the potential applications for ultrasensitive detection of allergen in foods.

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“自我约束”问题及其在产业组织中的应用

世界经济 2007年第5期30卷 85-95页

作者：杨剑侠陈宏民孙武军上海交通大学安泰经济与管理学院产业组织与技术创新研究中心 200052 南京大学商学院 210093

作为行为个体普遍具有的行为特征,自我约束问题无论从行为经济学理论本身,还是从其在其他经济学领域中的应用来看,都具有十分重要的研究价值。本文对自我约束问题的基础理论与经验研究、自我约束问题下的激励、上瘾研究以及自我约束在... 详细信息

作为行为个体普遍具有的行为特征,自我约束问题无论从行为经济学理论本身,还是从其在其他经济学领域中的应用来看,都具有十分重要的研究价值。本文对自我约束问题的基础理论与经验研究、自我约束问题下的激励、上瘾研究以及自我约束在产业组织中的应用研究等方面进行了总结与评论,并对该领域未来的研究趋势进行了展望。

关键词：自我约束现期偏向偏好跨期选择双曲线折现

Track correlation algorithm based on CNN-LSTM for swarm targets

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Journal of Systems Engineering and Electronics 2024年第2期35卷 417-429页

作者： chen Jinyang WANG Xuhua chen Xian Research Institute for National Defense Engineering Academy of Military SciencesLuoyang 471023China Information Engineering University Zhengzhou 450001China School of Computer Science and Technology Xidian UniversityXi’an 710071China

The rapid development of unmanned aerial vehicle(UAV) swarm, a new type of aerial threat target, has brought great pressure to the air defense early warning system. At present, most of the track correlation algorithms only use part of the target location, speed, and other information for *** this paper, the artificial neural network method is used to establish the corresponding intelligent track correlation model and method according to the characteristics of swarm ***, a route correlation method based on convolutional neural networks (CNN) and long short-term memory (LSTM)Neural network is designed. In this model, the CNN is used to extract the formation characteristics of UAV swarm and the spatial position characteristics of single UAV track in the formation,while the LSTM is used to extract the time characteristics of UAV swarm. Experimental results show that compared with the traditional algorithms, the algorithm based on CNN-LSTM neural network can make full use of multiple feature information of the target, and has better robustness and accuracy for swarm targets.

关键词： track correlation correlation accuracy rate swarm target convolutional neural network(CNN) long short-term memory(LSTM)neural network

Two-stage Planning Method for Energy Router Considering Its Optimal Operation in Distribution Networks

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 605-616页

作者： Meifu chen Mingchao Xia Qifang chen School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China

An energy router can effectively optimize the network loss and power quality of distribution networks. The optimal configuration of the energy router is relatively complex because issues dynamically influence each other, such as the location of the energy router, optimal number and capacity of its ports, and building new distribution lines for the ports. Presently, there has been very few research studies on the practical problems for the energy router. In this paper, a planning model of an energy router combined with the distribution network is established, which fully exploits the active and reactive power control abilities of the energy router to optimize the operation of the grid. The configuration problem is decoupled into two stages. The upper layer determines the location of the energy router and the parameters of the candidate new distribution lines for the ports. The lower layer calculates the optimal configuration of the energy router by minimizing the total annual cost. Because of the same rated bus voltage in the distribution network, the existing structure of the energy router is changed to be more applicable for the distribution network, and then the power flow model of the energy router is also modified. Due to the nonlinearity of the model, the planning model is converted into a mixed-integer second-order cone model to solve efficiently. In addition, some core factors influencing the optimal scheme of the energy router are also analyzed in this paper. Simulation results show that the optimal scheme of the energy router can significantly improve the economic deployment of the energy router, and optimize the network loss and power quality of the distribution network.

关键词： Capacity allocation distribution network energy router optimal operation

Aerial target threat assessment based on gated recurrent unit and self-attention mechanism

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Journal of Systems Engineering and Electronics 2024年第2期35卷 361-373页

作者： chen chen QUAN Wei SHAO Zhuang School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081China

Aerial threat assessment is a crucial link in modern air combat, whose result counts a great deal for commanders to make decisions. With the consideration that the existing threat assessment methods have difficulties in dealing with high dimensional time series target data, a threat assessment method based on self-attention mechanism and gated recurrent unit(SAGRU) is proposed. Firstly, a threat feature system including air combat situations and capability features is established. Moreover, a data augmentation process based on fractional Fourier transform(FRFT) is applied to extract more valuable information from time series situation features. Furthermore, aiming to capture key characteristics of battlefield evolution, a bidirectional GRU and SA mechanisms are designed for enhanced ***, after the concatenation of the processed air combat situation and capability features, the target threat level will be predicted by fully connected neural layers and the softmax classifier. Finally, in order to validate this model, an air combat dataset generated by a combat simulation system is introduced for model training and testing. The comparison experiments show the proposed model has structural rationality and can perform threat assessment faster and more accurately than the other existing models based on deep learning.

关键词： target threat assessment gated recurrent unit(GRU) self-attention(SA) fractional Fourier transform(FRFT)

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改性葵花籽壳用于油脂脱酸研究

中国食品添加剂 2022年第4期33卷 218-223页

作者：陈洪敏李希希车自力重庆化工职业学院重庆401228 重庆市酉阳土家族苗族自治县生态环境局酉阳409800

以改性葵花籽壳为原料对油脂进行脱酸,研究了脱酸条件。考察了改性葵花籽壳用量、吸附温度、搅拌速率、吸附时间对油脂中酸脱除效果的影响。采用单因素试验和响应面试验优化了酸脱除条件,发现当改性葵花籽壳用量为油脂质量的2.2%、吸附... 详细信息

以改性葵花籽壳为原料对油脂进行脱酸,研究了脱酸条件。考察了改性葵花籽壳用量、吸附温度、搅拌速率、吸附时间对油脂中酸脱除效果的影响。采用单因素试验和响应面试验优化了酸脱除条件,发现当改性葵花籽壳用量为油脂质量的2.2%、吸附温度为47℃、搅拌速率为200r/min、吸附时间为120min时,改性葵花籽壳对油脂脱酸效果最佳,对初始酸价为4.00mgKOH/g的油脂酸脱除值可达3.24mgKOH/g。

关键词：葵花籽壳改性油脂脱酸