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Effects of Functional Fish Organizations on the Fractal Characteristics of the Microstructure of Feces

JOURNAL OF OCEAN UNIVERSITY OF CHINA 2024年第6期23卷 1655-1665页

作者： Qiao, Lina wang, hongshuai Liu, Yao Shandong Univ Marine Coll Weihai 264209 Peoples R China

Fish feces affect the structure and function of aquatic ecosystems, and they are affected by the functional fish organizations. In this research, Ctenopharyngodon idellus, Hypophthalmichthys molitrix, and Cyprinus carpio were selected to study the effects of different functional fish organizations on the fractal characteristics of fecal micro-structure by scanning electron microscopes (SEM), particles (pores) and cracks analysis system (PCAS). The results showed that fish feces pores mainly consisted of medium pores (cumulative pore number, 97%) classified by the International Union of Pure and Applied Chemistry (IUPAC). The grain area fractal dimension D1 and the pore-number and pore-size fractal dimension D2 were 1.94-1.96 and 2.07-2.19, respectively. The distribution of fish feces pores was very close to the Sierpinski carpet structure, which is the basic fractal construction methods widely used to describe the fractal of pore surface distribution. D1 (1.96) and D2 (2.19) of Hypophthalmichthys molitrix were the maximum values of the three functional organizations. Combining with the habit of fish, it is inferred that the feces of H. molitrix, the finer the feed and the faster the swimming of fish, the higher the content of feces clay, the larger the fractal dimension of feces, the easier it is to decompose feces, and the high the content of nutrients and organic matter to release into the water. It is demined that fish functional organizations affected the fractal characteristics and the stability of fish feces in water. This study is helpful for further research on water quality prediction and the impact of functional fish organizations on the structure and function of the ecosystem.

关键词： functional fish organizations feces microstructure fractal characteristic scanning electron microscopy (SEM) particles (pores) and cracks analysis system (PCAS)

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Unfolding the structure-property relationships of Li_(2)S anchoring on two-dimensional materials with high-throughput calculations and machine learning

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Journal of Energy Chemistry 2023年第7期82卷 31-39,I0002页

作者： Lujie Jin hongshuai wang Hao Zhao Yujin Ji Youyong Li Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou 215123China Macao Institute of Materials Science and Engineering Macao University of Science and TechnologyTaipa 999078MacaoChina

Lithium-sulfur(Li-S)batteries are notable for their high theoretical energy density,but the‘shuttle effect’and the limited conversion kinetics of Li-S species can downgrade their actual *** essential strategy is to design anchoring materials(AMs)to appropriately adsorb Li-S ***,we propose a new three-procedure protocol,named InfoAd(Informative Adsorption)to evaluate the anchoring of Li_(2)S on two-dimensional(2D)materials and disclose the underlying importance of material features by combining high-throughput calculation workflow and machine learning(ML).In this paradigm,we calculate the anchoring of Li_(2)S on 12552D A_(x)B_(y)(B in the VIA/VIIA group)materials and pick out 44(un)reported nontoxic 2D binary A_(x)B_(y)AMs,in which the importance of the geometric features on the anchoring effect is revealed by ML for the first *** develop a new Infograph model for crystals to accurately predict whether a material has a moderate binding with Li_(2)S and extend it to all 2D *** InfoAd protocol elucidates the underlying structure-property relationship of Li_(2)S adsorption on 2D materials and provides a general research framework of adsorption-related materials for catalysis and energy/substance storage.

关键词： Adsorption Anchoring material Li-S battery Extreme gradient boosting Graph neural network Material geometry Semi-supervised learning

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Efficient screening framework for organic solar cells with deep learning and ensemble learning

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npj Computational Materials 2023年第1期9卷 295-305页

作者： hongshuai wang Jie Feng Zhihao Dong Lujie Jin Miaomiao Li Jianyu Yuan Youyong Li Institute of Functional Nano&Soft Materials(FUNSOM) Soochow University199 Ren’ai RoadSuzhou 215123 JiangsuPR China Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices Soochow University199 Ren-Ai RoadSuzhou Industrial ParkSuzhouJiangsu 215123PR China School of Materials Science and Engineering and Tianjin Key Laboratory of Molecular Optoelectronic ScienceTianjin UniversityTianjin 300072China Jiangsu Key Laboratory of Advanced Negative Carbon Technologies Soochow UniversitySuzhou 215123 JiangsuPR China Macao Institute of Materials Science and Engineering Macao University of Science and TechnologyTaipa999078 MacaoSARChina

Organic photovoltaics have attracted worldwide interest due to their unique advantages in developing low-cost,lightweight,and flexible power *** molecular design and synthesis have been put forward to accelerate the discovery of ideal organic ***,it is extremely expensive to conduct experimental screening of the wide organic compound *** we develop a framework by combining a deep learning model(graph neural network)and an ensemble learning model(Light Gradient Boosting Machine),which enables rapid and accurate screening of organic photovoltaic *** framework establishes the relationship between molecular structure,molecular properties,and device *** framework evaluates the chemical structure of the organic photovoltaic molecules directly and *** it does not involve density functional theory calculations,it makes fast *** reliability of our framework is verified with data from previous reports and our newly synthesized organic *** work provides an efficient method for developing new organic optoelectronic materials.

关键词： materials ensemble verified

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Optical turbulence profiling with single star SCIDAR technique

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Chinese Science Bulletin 2013年第36期58卷 4566-4570页

作者： LIU LiYong YAO YongQiang VERNIN Jean wang hongshuai CHADID Merieme wang YiPing GIORDANO Christophe YIN Jia QIAN Xuan National Astronomical Observatories Chinese Academy of Sciences Universite' de Nice-Sophia Antipolis Observatoire de la Co te d’Azur CNRS-UMR7293 Lab. Lagrange 06108 Nice Cedex 2 France

In order to characterize optical turbulence,we have developed a single star SCIDAR(SSS)for measurement of the distribution of C2n with *** SSS consists of a 40 cm telescope and a CCD camera for fast sampling of stellar scintillation *** auto and cross-correlation functions of the single star images are computed,providing vertical profiles of optical turbulence intensity C2n(h)and wind speed V(h).Using this new SSS experiment,profiles of turbulence can be obtained from the ground to the top of atmosphere,allowing the determination of seeing,isoplanatic angle and coherence *** characteristics of atmospheric optical turbulence are important for active and passive imaging,astronomical site testing,adaptive optics,laser communications,target tracking and designation,and laser beam *** plan to improve the robotization of the SSS to be able to use it routinely even under harsh weather and altitude conditions that we expect to encounter on the high Tibetan plateau or at Dome A in *** will also be applied for the site testing campaign of the future Chinese extremely large telescope.

关键词：大气光学湍流 AR技术 SCID CCD相机自适应光学激光束控制 SSS 高度分布

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Manufacturing N,O-carboxymethyl chitosan-reduced graphene oxide under freeze-dying for performance improvement of Li-S battery

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International Journal of Extreme Manufacturing 2023年第1期5卷 282-305页

作者： Zhibin Jiang Lujie Jin Xiying Jian Jinxia Huang hongshuai wang Binhong Wu Kang wang Ling Chen Youyong Li Xiang Liu Weishan Li School of Chemistry Engineering Research Center of MTEES(Ministry of Education)Research Center of BMET(Guangdong Province)Engineering Laboratory of OFMHEB(Guangdong Province)Key Laboratory of ETESPG(GHEI)and Innovative Platform for ITBMD(Guangzhou Municipality)South China Normal UniversityGuangzhouPeople’s Republic of China Shenzhen School Affiliated to Sun Yat-Sen University ShenzhenPeople’s Republic of China Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhouPeople’s Republic of China Macao Institute of Materials Science and Engineering Macao University of Science and TechnologyMacao SARPeople’s Republic of China College of Energy Science and Engineering Nanjing Tech UniversityNanjingPeople’s Republic of China

Lithium-sulfur(Li-S) batteries can provide far higher energy density than currently commercialized lithium ion batteries, but challenges remain before it they are used in *** of the challenges is the shuttle effect that originates from soluble intermediates, like lithium polysulfides. To address this issue, we report a novel laminar composite, N,O-carboxymethyl chitosan-reduced graphene oxide(CC-rGO), which is manufactured via the self-assembly of CC onto GO and subsequent reduction of GO under an extreme condition of 1 Pa and-50°C. The synthesized laminar CC-rGO composite is mixed with acetylene black(AB) and coated on a commercial polypropylene(PP) membrane, resulting in a separator(CC-rGO/AB/PP) that can not only completely suppress the polysulfides penetration, but also can accelerate the lithium ion transportation, providing a Li-S battery with excellent cyclic stability and rate capability. As confirmed by theoretic simulations, this unique feature of CC-rGO is attributed to its strong repulsive interaction to polysulfide anions and its benefit for fast lithium ion transportation through the paths paved by the heteroatoms in CC.

关键词： composite manufacturing N O-carboxymethyl chitosan reduced graphene oxide separator lithium-sulfur battery

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Detection of Insider Selective Forwarding Attack Based on Monitor Node and Trust Mechanism in WSN

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Wireless Sensor Network 2014年第11期6卷 237-248页

作者： Yu Hu Yuanming Wu hongshuai wang School of Optoelectronic Information University of Electronic Science and Technology Chengdu China

The security problems of wireless sensor networks (WSN) have attracted people’s wide attention. In this paper, after we have summarized the existing security problems and solutions in WSN, we find that the insider attack to WSN is hard to solve. Insider attack is different from outsider attack, because it can’t be solved by the traditional encryption and message authentication. Therefore, a reliable secure routing protocol should be proposed in order to defense the insider attack. In this paper, we focus on insider selective forwarding attack. The existing detection mechanisms, such as watchdog, multipath retreat, neighbor-based monitoring and so on, have both advantages and disadvantages. According to their characteristics, we proposed a secure routing protocol based on monitor node and trust mechanism. The reputation value is made up with packet forwarding rate and node’s residual energy. So this detection and routing mechanism is universal because it can take account of both the safety and lifetime of network. Finally, we use OPNET simulation to verify the performance of our algorithm.

关键词： Insider Attack Selective Forwarding Trust Mechanism Monitor Node Secure Routing Protocol

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Reconstruction of ISAR images based on SART

Reconstruction of ISAR images based on SART

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2015年全国天线年会

作者： wang hongshuai LI Yong National Key Laboratory of Antennas and Microwave Technology Xidian University

The simultaneous algebraic reconstruction technique（SART） is known as a method to reconstruct images of X-ray computerized tomography（CT）. Algebraic reconstruction technique is usually used in the high-quality reconstructions. This paper introduces theory of turntable inverse synthetic aperture radar（ISAR） imaging, and uses SART algorithm to reconstruct ISAR images. Finally, we get the results from Matlab simulation. Compared with the results of BP algorithm, the results of SART algorithm have higher dynamic range and accuracy.

关键词： simultaneous algebraic reconstruction technique(SART) inverse synthetic aperture radar(ISAR) imaging dynamic range and accuracy

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地方规划权的建构与评估——基于双重差分与动态QCA的实证研究

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社会学研究 2023年第6期38卷 153-176,M0006,M0007页

作者：王红帅清华大学公共管理学院清华大学中国发展规划研究院

本文考察了地方规划权中规划自主性之于绩效改进的宏观因果效应。鉴于既有研究对规划有效性的认知缺乏理据实证,本研究以2006—2015年两期规划数据为基础,运用双重差分与引入时间因素的多时段QCA和TSQCA方法,系统检验了自主增设公共服... 详细信息

本文考察了地方规划权中规划自主性之于绩效改进的宏观因果效应。鉴于既有研究对规划有效性的认知缺乏理据实证,本研究以2006—2015年两期规划数据为基础,运用双重差分与引入时间因素的多时段QCA和TSQCA方法,系统检验了自主增设公共服务类规划指标的实际效果。研究发现,自主设定规划指标能够对中长期绩效改进产生积极作用,且越到规划后期,指标的约束力越强;虽然从短期看规划不必然带来绩效改进,但如果缺乏长期规划,绩效改进将“事倍功半”。本文对规划权进行了初步的建构与评估,对国家治理的规划逻辑进行了讨论。

关键词：五年规划规划有效性规划权规划自主性规划评估

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Effects of Functional Fish Organizations on the Fractal Characteristics of the Microstructure of Feces

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Journal of Ocean University of China 2024年第06期 1655-1665页

作者： QIAO Lina wang hongshuai LIU Yao Marine College Shandong University

Fish feces affect the structure and function of aquatic ecosystems,and they are affected by the functional fish *** this research,Ctenopharyngodon idellus,Hypophthalmichthys molitrix,and Cyprinus carpio were selected to study the effects of different functional fish organizations on the fractal characteristics of fecal micro-structure by scanning electron microscopes（SEM）,particles （pores） and cracks analysis system （PCAS）.The results showed that fish feces pores mainly consisted of medium pores （cumulative pore number,97%） classified by the International Union of Pure and Applied Chemistry （IUPAC）.The grain area fractal dimension D1and the pore-number and pore-size fractal dimension D2were 1.94–1.96 and 2.07–2.19,*** distribution of fish feces pores was very close to the Sierpinski carpet structure,which is the basic fractal construction methods widely used to describe the fractal of pore surface distribution.D1（1.96） and D2（2.19） of Hypophthalmichthys molitrix were the maximum values of the three functional *** with the habit of fish,it is inferred that the feces of ***,the finer the feed and the faster the swimming of fish,the higher the content of feces clay,the larger the fractal dimension of feces,the easier it is to decompose feces,and the high the content of nutrients and organic matter to release into the *** is demined that fish functional organizations affected the fractal characteristics and the stability of fish feces in *** study is helpful for further research on water quality prediction and the impact of functional fish organizations on the structure and function of the ecosystem.

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可持续发展目标间关系类型分析

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中国人口·资源与环境 2021年第9期31卷 154-160页

作者：王红帅李善同清华大学公共管理学院北京100084 国务院发展研究中心北京100010

联合国2030年可持续发展目标(Sustainable Development Goals,SDGs)为全球可持续发展提供了新的评价框架和远景目标,但目标间关系的复杂性决定了17个发展目标无法同时实现、同时执行,关注可持续发展目标间相互独立、相互依赖的综合性质... 详细信息

联合国2030年可持续发展目标(Sustainable Development Goals,SDGs)为全球可持续发展提供了新的评价框架和远景目标,但目标间关系的复杂性决定了17个发展目标无法同时实现、同时执行,关注可持续发展目标间相互独立、相互依赖的综合性质已经成为当前的研究热点。文章基于目标间的复杂性质,在回顾既有文献的基础上,发现协同和权衡是分析目标间关系的主要概念,庞大的目标体系也存在多种潜在的结构类型;同时,目标的主观性取舍、数据的来源和质量、评估理论和方法的应用、跨学科和部门的合作以及国家间的异质性都会影响目标间关系的研究。文章认为,精确定义目标间关系类型最需要的还是认识论层面的指导。从可持续发展经济学的角度出发,研究提出了一个区分目标间关系类型的分析模型,用目标间存在的基本关系类型,即协同和权衡,拓展了可持续性科学中有关强可持续性和弱可持续性的分析框架。以整合性为目的,理论上可持续发展目标间关系应该包括四种类型:共存关系、替代关系、包含关系、互补关系。同时,研究呼吁将协同和权衡关系纳入可持续性科学的分析框架,强调应从强可持续性的视角来理解和检验目标间关系;建议对可持续发展目标进行结构上的降维处理,最好的目标间关系应该是结构类型中的平衡。

关键词：可持续发展目标可持续发展经济学协同关系权衡关系结构类型

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