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Advanced Hierarchical Fuzzy Classification Model Adopting Symbiosis Based DNA-ABC Optimization Algorithm

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Applied Mathematics 2016年第5期7卷 440-455页

作者： ting-cheng feng Tzuu-Hseng S. Li aiRobots Laboratory Department of Electrical Engineering National Cheng Kung University Taiwan

This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to literature, the ABC algorithm is traditionally applied to constrained and unconstrained problems, but is combined with modified DNA concepts and implemented for fuzzy classification in this present research. Moreover, from the best of our knowledge, previous research on the ABC algorithm has not combined it with DNA computing for hierarchical fuzzy classification to explore the merits of cooperative coevolution. Therefore, this paper is the first to apply the mechanism of symbiosis to create a hybrid modified DNA-ABC algorithm for hierarchical fuzzy classification applications. In this study, the partition number and the shape of the membership function are extracted by the symbiosis based hybrid modified DNA-ABC optimization algorithm, which provides both sufficient global exploration and also adequate local exploitation for hierarchical fuzzy classification. The proposed optimization algorithm is applied on five benchmark University of Irvine (UCI) data sets, and the results prove the efficiency of the algorithm.

关键词： Classification Problem Hierarchical Fuzzy Model Symbiosis Based Modified DNA-ABC

Precision-Engineered Construction of Proton-Conducting Metal-Organic Frameworks

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Nano-Micro Letters 2025年第4期17卷 230-274页

作者： Liyu Zhu Hongbin Yang ting Xu feng Shen Chuanling Si State Key Laboratory of Biobased Fiber Manufacturing Technology Tianjin Key Laboratory of Pulp and PaperTianjin University of Science and Technology300457 TianjinPeople’s Republic of China State Key Laboratory of Pulp and Paper Engineering South China University of Technology510640 GuangzhouPeople’s Republic of China Agro-Environmenta Protection Institute Ministry of Agriculture and Rural Affairs300191 TianjinPeople’s Republic of China Robustnique Co.Ltd. Block CPhase IIPioneer ParkLanyuan Road300384 TianjinPeople’s Republic of China

Proton-conducting materials have attracted considerable interest because of their extensive application in energy storage and conversion *** them,metal-organic frameworks(MOFs)present tremendous development potential and possibilities for constructing novel advanced proton conductors due to their special advantages in crystallinity,designability,and *** particular,several special design strategies for the structure of MOFs have opened new doors for the advancement of MOF proton conductors,such as charged network construction,ligand functionalization,metal-center manipulation,defective engineering,guest molecule incorporation,and pore-space *** the implementation of these strategies,proton-conducting MOFs have developed significantly and profoundly within the last ***,in this review,we critically discuss and analyze the fundamental principles,design strategies,and implementation methods targeted at improving the proton conductivity of MOFs through representative ***,the structural features,the proton conduction mechanism and the behavior of MOFs are discussed thoroughly and *** endeavors are also proposed to address the challenges of proton-conducting MOFs in practical *** sincerely expect that this review will bring guidance and inspiration for the design of proton-conducting MOFs and further motivate the research enthusiasm for novel proton-conducting materials.

关键词： MOFs Proton conduction Porous materials Fuel cells

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对舰炮发展的思考

舰船科学技术 2007年第A01期29卷 3-10页

作者：陈汀峰郑州机电工程研究所河南郑州450015

对水面舰艇的主要武备——舰炮所承担的使命任务进行了介绍,对俄罗斯和美国等海军强国的舰炮武器技术发展进行了分析,对我国舰炮发展提出了建议。

关键词：舰炮反导火力支援口径系列化

A nuclide identification method ofγspectrum and model building based on the transformer

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Nuclear Science and Techniques 2025年第1期36卷 80-93页

作者： Fei Li Chu-Yang Luo Ying-Zi Wen Sheng Lv feng cheng Guo-Qiang Zeng Jian-feng Jiang Bing-Hai Li College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610000China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu 610000China Department of Physics Universitat Politècnica de CatalunyaBarcelona 08028Spain Airborne Survey and Remote Sensing Center of Nuclear Industry Shijiazhuang 050000China Hebei Key Laboratory of Airborne Detection and Remote Sensing Technology Shijiazhuang 050000China

In current neural network algorithms for nuclide identification in high-background,poor-resolution detectors,traditional network paradigms including back-propagation networks,convolutional neural networks,recurrent neural networks,etc.,have been limited in research on γ spectrum analysis because of their inherent mathematical *** is difficult to make progress in terms of training data requirements and prediction *** contrast to traditional network paradigms,network models based on the transformer structure have the characteristics of parallel computing,position encoding,and deep stacking,which have enabled good performance in natural language processing tasks in recent ***,in this paper,a transformer-based neural network (TBNN) model is proposed to achieve nuclide identification for the first ***,the Geant4 program was used to generate the basic single-nuclide energy spectrum through Monte Carlo simulations.A multi-nuclide energy spectrum database was established for neural network training using random matrices of γ-ray energy,activity,and *** on the encoder–decoder structure,a network topology based on the transformer was built,transforming the 1024-channel energy spectrum data into a 32×32 energy spectrum sequence as the model *** experiments and adjustments of model parameters,including the learning rate of the TBNN model,number of attention heads,and number of network stacking layers,the overall recognition rate reached 98.7%.Additionally,this database was used for training AI models such as back-propagation networks,convolutional neural networks,residual networks,and long shortterm memory neural networks,with overall recognition rates of 92.8%,95.3%,96.3%,and 96.6%,*** indicates that the TBNN model exhibited better nuclide identification among these AI models,providing an important reference and theoretical basis for the practical application of transformers in the qualitative and quantitativ

关键词： Nuclide identification Neural network Transformer

The transcriptome of MHV-infected RAW264.7 cells offers an alternative model for macrophage innate immunity research

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Animal Models and Experimental Medicine 2025年第1期8卷 57-66页

作者： Yun Liu ting-ting feng Wei Tong Zhi Guo Xia Li Qi Kong Zhi-Guang Xiang Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences(CAMS)and Comparative Medicine CenterPeking Union Medical College(PUMC)BeijingP.R.China

Background:Macrophages are the primary innate immune cells encountered by the invading coronaviruses,and their abilities to initiate inflammatory reactions,to main-tain the immunity homeostasis by differential polarization,to train the innate immune system by epigenic modification have been reported in laboratory animal ***:In the current in vitro research,murine macrophage RAW 264.7 cell were infected by mouse hepatitis virus,a coronavirus existed in *** 3-,6-,12-,24-,and 48-h post infection(hpi.),the attached cells were washed with PBS and harvested in Trizol *** The harvest is subjected to transcriptome ***:The transcriptome analysis showed the immediate(3 hpi.)up regulation of DEGs related to inflammation,like Il1b and *** related to M2 differential po-larization,like Irf4 showed up regulation at 24 hpi.,the late term after viral *** addition,DEGs related to metabolism and histone modification,like Ezh2 were de-tected,which might correlate with the trained immunity of ***:The current in vitro viral infection study showed the key innated im-munity character of macrophages,which suggested the replacement value of viral infection cells model,to reduce the animal usage in preclinical research.

关键词： coronavirus innate immunity macrophage transcriptome

Functional ternary salt construction enabling an in-situ Li3N/LiF-enriched interface for ultra-stable all-solid-state lithium metal batteries

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Journal of Energy Chemistry 2025年第2期101卷 68-75页

作者： Hong-Yan Liu Xin-Yu Liu Nan Zhang Peng-Fei Wang Zong-Lin Liu Jie Shu ting-feng Yi School of Materials Science and Engineering Northeastern University Key Laboratory of Dielectric and Electrolyte Functional Material Hebei Province School of Resources and Materials Northeastern University at Qinhuangdao Faculty of Materials Science and Chemical Engineering and Key Laboratory of Photoelectric Detection Materials and Devices of Zhejiang Province Ningbo University

Poly（ethylene oxide）-based polymer all-solid-state lithium metal batteries（ASSLBs） have received widespread attention due to their low cost,good process ability,and high energy ***,the growth of Li dendrites within polymer solid-state electrolytes damages the reversibility of Li anodes and still impedes their widespread *** efficient strategy is to construct a superior solid electrolyte ***,a stable interface enriched with Li3N and LiF is in-situ formed between Li anode and a terna ry salt *** terna ry salt electrolyte is innovatively designed by introducing lithium bis（trifluoromethane sulfonyl）imide（LiTFSI）,lithium bis（fluorosulfonyl）imide（LiFSI）,and LiNO3to poly（ethylene oxide） *** characterization indicates that LiNO3and LiFSI contribute to forming a Li3N-LiF-enriched interface and meanwhile LiTFSI ensures excellent ***,among various Li compound components,Li3N has high ionic conductivity,which is beneficial for reducing overpotential,while LiF has high interfacial energy which can enhance nucleation energy and suppress the formation of Li *** experimental results show that ASSLBs coupled with LiFePO4cathode display extremely excellent cycle stability approximately 2200 cycles at 2 C,with a final and corresponding discharge specific capacity of 96.7 mA h g-1. Additionally,a schematic illustration of the working mechanism for the Li3N-LiF interface is proposed.

关键词： All-solid-state lithium metal batteries In-situ SEI Lithium dendrite PEO (LiTFSI) Solid electrolyte

Flotation separation of chalcopyrite from pyrite using mineral fulvic acid as selective depressant under weakly alkaline conditions

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中国有色金属学报 2025年第1期35卷 313-325页

作者： Zhi-hao SHEN Shu-ming WEN Jia-mei HAO Qi-cheng feng State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization Faculty of Land Resource EngineeringKunming University of Science and TechnologyKunming 650093China

Mineral fulvic acid(MFA)was used as an eco-friendly pyrite depressant to recover chalcopyrite by flotation with the use of the butyl xanthate as a *** experiments showed that MFA produced a stronger inhibition effect on pyrite than on *** separation of chalcopyrite from pyrite was realized by introducing 150 mg/L MFA at a pulp pH of approximately *** copper grade,copper recovery,and separation efficiency were 28.03%,84.79%,and 71.66%,*** adsorption tests,zeta potential determinations,and localized electrochemical impedance spectroscopy tests showed that more MFA adsorbed on pyrite than on chalcopyrite,which weakened the subsequent interactions between pyrite and the *** force microscope imaging further confirmed the adsorption of MFA on pyrite,and X-ray photoelectron spectroscopy results indicated that hydrophilic Fe-based species on the pyrite surfaces increased after exposure of pyrite to MFA,thereby decreasing the floatability of pyrite.

关键词： mineral fulvic acid chalcopyrite pyrite flotation separation

Structuring MoO3-polyoxometalate hybrid superstructures to boost electrocatalytic hydrogen evolution reaction

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Chinese Chemical Letters 2025年第2期36卷 239-243页

作者： Bowen Li ting Wang Ming Xu Yuqi Wang Zhaoxing Li Mei Liu Wenjing Zhang Ming feng Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education Jilin Normal University

Improving the surface atoms utilization efficiency of catalysts is extremely important for large-scale H2production by electrochemical water splitting,but it remains a great ***,we reported two kinds of Mo O3-polyoxometalate hybrid nanobelt superstructures (MoO3-POM HNSs,POM=PW12O40and Si W12O40) using a simple hydrothermal *** superstructure with highly uniform nanoparticles as building blocks can expose more surface atoms and emanate increased specific surface *** incorporated POMs generated abundant oxygen vacancies,improved the electronic mobility,and modulated the surface electronic structure of MoO3,allowing to optimize the H*adsorption/desorption and dehydrogenation kinetics of ***,the as-prepared MoO3-PW12O40HNSs electrodes not only displayed the low overpotentials of 108 mV at 10 mA/cm2current density in 0.5 mol/L H2SO4electrolyte but also displayed excellent long-term *** hydrogen evolution reaction （HER） performance of MoO3-POM superstructures is significantly better than that of corresponding bulk materials MoO3@PW12O40and Mo O3@Si W12O40,and the overpotentials are about 8.3 and 4.9 times lower than that of single Mo *** work opens an avenue for designing highly surface-exposed catalysts for electrocatalytic H2production and other electrochemical applications.

关键词： Electrocatalysis Hydrogen production Metal oxide Polyoxometalate Superstructure

Localizing base stations with measured data:a concatenated image-based deep learning approach

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Science China(Information Sciences) 2025年第2期68卷 385-386页

作者： Yang CHEN Ziyuan LIU feng JIANG Hong SHEN Wei XU Mengyu LI Ritao cheng National Mobile Communications Research Laboratory Southeast University China Mobile Group Design Institute Co. Ltd.

Localization has become an indispensable function of modern cellular communication systems [1]. In a cloud radio access network(C-RAN), the remote radio head(RRH) is the actual signal transmitter, whose location can assist in wireless network layout optimization and wireless resource management. The measurement of the RRH location can only be done manually on-site due to the lack of global positioning systems(GPS) at the RRH side, which is thus not a cost-effective solution for the widely used C-RAN with a large number of RRH units.

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