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VKFQ:A Verifiable Keyword Frequency Query Framework with Local Differential Privacy in Blockchain

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Computers, Materials & Continua 2024年第3期78卷 4205-4223页

作者： Youlin ji Bo Yin Ke gu School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China

With its untameable and traceable properties,blockchain technology has been widely used in the field of data *** to preserve individual privacy while enabling efficient data queries is one of the primary issues with secure data *** this paper,we study verifiable keyword frequency(KF)queries with local differential privacy in *** the numerical and the keyword attributes are present in data objects;the latter are sensitive and require privacy ***,prior studies in blockchain have the problem of trilemma in privacy protection and are unable to handle KF *** propose an efficient framework that protects data owners’privacy on keyword attributes while enabling quick and verifiable query processing for KF *** framework computes an estimate of a keyword’s frequency and is efficient in query time and verification object(VO)size.A utility-optimized local differential privacy technique is used for privacy *** data owner adds noise locally into data based on local differential privacy so that the attacker cannot infer the owner of the keywords while keeping the difference in the probability distribution of the KF within the privacy *** propose the VB-cm tree as the authenticated data structure(ADS).The VB-cm tree combines the Verkle tree and the Count-Min sketch(CM-sketch)to lower the VO size and query *** VB-cm tree uses the vector commitment to verify the query *** fixed-size CM-sketch,which summarizes the frequency of multiple keywords,is used to estimate the KF via hashing *** conduct an extensive evaluation of the proposed *** experimental results show that compared to theMerkle B+tree,the query time is reduced by 52.38%,and the VO size is reduced by more than one order of magnitude.

关键词： Security data sharing blockchain data query privacy protection

Modern pollen-vegetation relationships along altitudinal vegetation belts in the Leigong Mountain of southwestern China

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Journal of Mountain Science 2024年第7期21卷 2249-2262页

作者： LI Shuming ZHAO Wenwei WEI Lisi REN Weihe gu Qinran WU Siqi ji yang yang Ziteng ZHUANG Rui CHEN Chunzhu College of Geography and Tourism Hengyang Normal UniversityHengyang 421002China School of Geographical Science Nantong UniversityNantong 226019China State Key Laboratory of Modern Palaeobiology and Stratigraphy Nanjing Institute of Geology and PalaeontologyChinese Academy of Sciences Nanjing 210008China 4 University of Chinese Academy of SciencesBeijing 100049China

Understanding the distribution,dispersal,and correlation of modern pollen with vegetation in mountainous regions is essential for establishing accurate modern analogs for fossil pollen *** study,conducted in Leigong Mountain on the Yunnanguizhou Plateau of southwestern China,involved the collection of 35 surface soil samples from diverse vegetation communities along an elevational gradient ranging from 1210 to 1875 *** results reveal a close correspondence between modern pollen assemblages and vegetation *** Component Analysis(PCA)results indicate that pollen assemblages can effectively distinguish between subtropical montane evergreen broad-leaved forest(SEBF)and subtropical montane deciduous broadleaved forest(SDBF).However,both SEBF and SDBF show significant overlap with subtropical montane evergreen-deciduous broad-leaved mixed forest(SEMF).Detrended Correspondence Analysis(DCA)results clearly distinguish the three vegetation zones,and the first axis of DCA shows a significant positive correlation with elevation(pguishing this vegetation zone from *** and Alnus display overrepresentation in the Leigong Mountain region,while Quercus(D,deciduous-type)and Poaceae exhibit high representation in the SEBF *** the SEBF zone,both pollen diversity and richness are the *** study reveals the complex relationship between the richness and diversity of pollen and *** diversity and richness of tree and shrub pollen are found to be lower than those of the corresponding *** pollen-vegetation relationship elucidated in this study serves as a critical reference for reconstructing ancient environments from fossil pollen retrieved in this region.

关键词： Modern pollen assemblages Pollenvegetation relationship Pollen diversity and richness Leigong Mountain Southwestern China

A study on carbon emission calculation in operation stage of residential buildings based on micro electricity usage behavior:Three case studies in China

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Building Simulation 2024年第1期17卷 147-164页

作者： Menghan Niu Ying ji Miao Zhao jiefan gu Aonan Li Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology Beijing University of TechnologyBeijing 100124China College of Architecture and Urban Planning Tongji UniversityShanghai 201804China The Bartlett School of Architecture University College LondonWC1E 6BTUK

Along with the improvement of social productivity and living standard,residential buildings generate a growing portion of carbon emissions,especially during the operation ***,energy use behaviors are usually ignored in carbon emission *** study focuses on calculating carbon emissions during the operation stage for residential buildings based on the characteristics of energy use behaviors in different ***,we investigated energy use behaviors in dwellings across three cities in China:Xi'an,Shanghai and ***,we established calibrated carbon emission models and optimization models with different green building measures for residential *** results of this research reveal a significant disparity between the energy usage habits of residents in different climate *** carbon emissions of residential electricity bills in Xi'an,Shanghai and Fuzhou are 13.6 kgCO_(2)/(m^(2)·a)(excluding central heating),29.3 kgCO_(2)/(m^(2)·a)and 17.2 kgCO_(2)/(m^(2)·a),*** carbon emissions account for 32.2%-64.1% of the *** comparison to the model based on internal standard setting,the accuracy of the models using actual internal has improved by 25.9%-37.4%.The three-star green building methods have the highest carbon reduction rate among different star buildings,the emission reduction rates are around 30%.This study's findings are useful for carbon emission calculation and green building design of residential buildings in the future.

关键词： residential building energy usage behavior energy simulation carbon emissions

Reducing the global cancer burden with gastrointestinal screening: China's 30 years practice

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Cancer Biology & Medicine 2024年第3期21卷 204-212页

作者： Lei yang Li Feng Yong Zhu Ning Wang Xinpu Lu Fanghui gu Xiaotian Zhang jiafu ji Peking University Cancer Hospital(Inner Mongolia Campus)/Affiliated Cancer Hospital of Inner Mongolia Medical University Inner Mongolia Cancer CenterHohhot 010020China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Bejing) Bejing Office for Cancer Prevention and ControlPeking University Cancer Hospital&InstituteBejing 100142China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education) Peking University Cancer Hospital&InstituteBeijing 100142China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Bejing) Department of Gastrointestinal OncologyPeking University Cancer Hospital&InstituteBeijing 100142China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers Bejing Key Laboratory of Carcinogenesis and Translational ResearchGastrointestinal Cancer CenterPeking University Cancer Hospital&InstituteBeijing 100142China

Gastrointestinal(GI) cancers include esophageal [EC(International Classification of Disease 10^(th) revision: C15)], gastric [GC(C16)], and colorectal [CRC(C18-C21)] cancers. China is a high-incidence country of GI ca... 详细信息

关键词： esophageal colorectal gastrointestinal

Electronic engineering of Co-Ru diatomic sites and Ru nanoparticles for synergistic promotion of hydrogen evolution

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Nano Research 2024年第5期17卷 3714-3723页

作者： Wei Zhang Cong Li Yongyong Cao Jun-yang ji Zhao-Chen Li Zheng Niu Hongwei gu Pierre Braunstein jian-Ping Lang College of Chemistry Chemical Engineering and Materials ScienceSoochow UniversitySuzhou 215123China State Key Laboratory of Organometallic Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China College of Biological Chemical Science and EngineeringJiaxing UniversityJiaxing 314001China Universitéde Strasbourg-CNRS Institut de Chimie(UMR 7177 CNRS)4 rue Blaise Pascal-CS 9003267081 StrasbourgFrance

The coexistence of multi-component active sites like single-atom sites,diatomic sites(DAS)and nanoclusters is shown to result in superior performances in the hydrogen evolution reaction(HER).Metal diatomic sites are more complex than single-atom sites but their unique electronic structures can lead to significant enhancement of the HER *** the synthesis and identification of DAS is usually challenging,we report a simple access to a diatomic catalyst by anchoring Co-Ru DAS on nitrogen-doped carbon supports along with Ru nanoparticles(NPs).Experimental and theoretical results revealed the atomic-level characteristics of Co-Ru sites,their strong electronic coupling and their synergy with Ru NPs within the *** unique electronic structure of the catalyst resulted in an excellent HER activity and stability in alkaline *** work provides a valuable insight into a widely applicable design of diatomic catalysts with multi-component active sites for highly efficient HER electrocatalysis.

关键词： Co-Ru diatomic sites Ru nanoparticles multiple active sites synergistic effect hydrogen evolution reaction

Quantitative discrimination of surface adsorbed NO_(x) species on CeO_(2) via spectrophotometry for SCR denitration investigation

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Journal of Rare Earths 2024年第6期42卷 1066-1072,I0003页

作者： Songil Sin jiawei ji Lijun Cheng Zhiwen gu Chong Tan Kwangchol Ri Changjin Tang School of Environment Nanjing Normal UniversityNanjing210023China Department of Mining Engineering Kim Chaek University of TechnologyPyongyang999093Democratic People's Republic of Korea Laboratory of Mesoscopic Chemistry of MOE School of Chemistry and Chemical EngineeringNanjing UniversityNanjing20023China Institute of Chemical Engineering Hamhung University of Chemical EngineeringHamhungDemocratic People's Republic of Korea jiangsu Province Engineering Research Center of Environmental Risk Prevention and Emergency Response Technology Nanjing210023China

CeO_(2)-based catalysts are widely investigated for selective catalytic reduction(SCR)of NO with *** of NO/O_(2) with CeO_(2) generally produces two surface species,i.e.,nitrates and ***,the explicit quantification of these two species is still ***,we reported that spectrophotometry characterization was effective in determining surface adsorbed NOx species on CeO_(2) by measuring the corresponding ions(NO_(2)-and NO_(3)^(-))dissolved in aqueous *** results show that both nitrate(-NO_(3))and nitrite(-NO_(2))species can be quantitatively evaluated and the accuracy is verified by calibrating with NOx-TPD *** transfer of adsorbed NOx from catalyst surface to aqueous solution is confirmed and the dissolution process can be accelerated by ultrasonic ***,useful information related to evolution of surface NOx species under various conditions(O_(2) treatment,different adsorption temperature and duration)and over different catalysts(Fe_(2)O_(3),MnO_(2) and MnOx—CeO_(2))are *** result of present study demonstrates the potential of spectrophotometry for quantitative discrimination of surface NOx species on CeO_(2) and other oxide-based materials,which is conducive to mechanism analysis of SCR reaction.

关键词： Quantitative evaluation Spectrophotometry analysis Nitrate species Nitrite species CeO_(2)catalyst NH_(3)-SCR

Boundary integrated neural networks and code for acoustic radiation and scattering

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International Journal of Mechanical System Dynamics 2024年第2期4卷 131-141页

作者： Wenzhen Qu Yan gu Shengdong Zhao Fajie Wang ji Lin School of Mathematics and Statistics Qingdao UniversityQingdaoChina College of Mechanical and Electrical Engineering Qingdao UniversityQingdaoChina College of Mechanics and Materials Hohai UniversityNanjingChina

This paper presents a novel approach called the boundary integrated neural networks(BINNs)for analyzing acoustic radiation and *** method introduces fundamental solutions of the time-harmonic wave equation to encode the boundary integral equations(BIEs)within the neural networks,replacing the conventional use of the governing equation in physics-informed neural networks(PINNs).This approach offers several ***,the input data for the neural networks in the BINNs only require the coordinates of“boundary”collocation points,making it highly suitable for analyzing acoustic fields in unbounded ***,the loss function of the BINNs is not a composite form and has a fast ***,the BINNs achieve comparable precision to the PINNs using fewer collocation points and hidden layers/***,the semianalytic characteristic of the BIEs contributes to the higher precision of the *** examples are presented to demonstrate the performance of the proposed method,and a MATLAB code implementation is provided as supplementary material.

关键词： acoustic semianalytical physics-informed neural networks boundary integral equations boundary integral neural networks unbounded domain

Suboptimal Feature Selection Techniques for Effective Malicious Traffic Detection on Lightweight Devices

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1669-1687页

作者： So-Eun Jeon Ye-Sol Oh Yeon-ji Lee Il-gu Lee Department of Future Convergence Technology Engineering Sungshin Women’s UniversitySeoul02844Korea Department of Convergence Security Engineering SungshinWomen’s UniversitySeoul02844Korea

With the advancement of wireless network technology,vast amounts of traffic have been generated,and malicious traffic attacks that threaten the network environment are becoming increasingly *** signature-based detection methods,static analysis,and dynamic analysis techniques have been previously explored for malicious traffic detection,they have limitations in identifying diversified malware traffic *** research has been focused on the application of machine learning to detect these ***,applying machine learning to lightweight devices like IoT devices is challenging because of the high computational demands and complexity involved in the learning *** this study,we examined methods for effectively utilizing machine learning-based malicious traffic detection approaches for lightweight *** introduced the suboptimal feature selection model(SFSM),a feature selection technique designed to reduce complexity while maintaining the effectiveness of malicious traffic *** performance was evaluated on various malicious traffic,benign,exploits,and generic,using the UNSW-NB15 dataset and SFSM sub-optimized hyperparameters for feature selection and narrowed the search scope to encompass all *** improved learning performance while minimizing complexity by considering feature selection and exhaustive search as two steps,a problem not considered in conventional *** experimental results showed that the detection accuracy was improved by approximately 20%compared to the random model,and the reduction in accuracy compared to the greedy model,which performs an exhaustive search on all features,was kept within 6%.Additionally,latency and complexity were reduced by approximately 96%and 99.78%,respectively,compared to the greedy *** study demonstrates that malicious traffic can be effectively detected even in lightweight device *** verified the possibility of detecting various attack

关键词： Feature selection lightweight device machine learning Internet of Things malicious traffic

Multifunctional AlPO_(4)reconstructed LiMn_(2)O_(4)surface for electrochemical lithium extraction from brine

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Journal of Energy Chemistry 2024年第2期89卷 410-421,I0010页

作者： Jun gu Linlin Chen Xiaowei Li guiling Luo Linjing Fan Yanhong Chao Haiyan ji Wenshuai Zhu School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina School of Chemistry and Chemical Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina College of Science State Key Laboratory of Heavy Oil ProcessingChina University of Petroleum-BeijingBeijing 102249China School of the Environment and Safety Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

LiMn_(2)O_(4)(LMO)electrochemical lithium-ion pump has gained widespread attention due to its green,high efficiency,and low energy consumption in selectively extracting lithium from ***,collapse of crystal structure and loss of lithium extraction capacity caused by Mn dissolution loss limits its industrialized ***,a multifunctional coating was developed by depositing amorphous AlPO_(4)on the surface of LMO using sol-gel *** characterization and electrochemical performance test provided insights into the mechanism of Li^(+)embedment and de-embedment and revealed that multifunctional AlPO_(4)can reconstruct the physical and chemical state of LMO surface to improve the interface hydrophilicity,promote the transport of Li^(+),strengthen cycle ***,after 20 cycles,the capacity retention rate of 0.5AP-LMO reached 93.6%with only 0.147%Mn dissolution *** average Li^(+)release capacity of 0.5AP-LMO//Ag system in simulated brine is 28.77 mg/(g h),which is 90.4%higher than ***,even in the more complex Zabuye real brine,0.5AP-LMO//Ag can still maintain excellent lithium extraction *** results indicate that the 0.5AP-LMO//Ag lithium-ion pump shows promising potential as a Li^(+)selective extraction system.

关键词： LiMn_(2)O_(4) Multifunctional AlPO_(4)coating Li^(+)embedment and de-embedment mechanism Stability Hydrophilicity Various solution