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Ecological Economy 2024年第1期20卷 2-24页

作者： SHI Xiong-tian WU Feng-qing CHEN Yang DAI Li-li school of business Administration and Tourism Management Yunnan UniversityKunming 650500CHINA school of Economics and Management Yanshan UniversityQinhaungdao 066000CHINA business school University of SouthamptonSouthampton SO152UAUK

Based on the supply-side perspective,the improved STIRPAT model is applied to reveal the mechanisms of supply-side factors such as human,capital,technology,industrial synergy,institutions and economic growth on carbon emissions in the Yangtze River Delta(YRD)through path analysis,and to forecast carbon emissions in the YRD from the baseline scenario,factor regulation scenario and integrated scenario to reach the *** results show that:(1)Jiangsu's high carbon emission pattern is the main reason for the YRD hindering the synergistic regulation of carbon emissions.(2)Human factors,institutional factors and economic growth factors can all contribute to carbon emissions in the YRD region,while technological and industrial factors can generally suppress carbon emissions in the YRD region.(3)Under the capital regulation scenario,the YRD region has the highest level of carbon emission synergy,with Jiangsu reaching its peak five years *** the balanced regulation scenario,the YRD region as a whole,Jiangsu,Zhejiang and Anhui reach the peak as scheduled.

关键词： Yangtze River Delta carbon peaking scenario forecasting STIRPAT model

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Influence of Blended Course Teaching Reform on Student Satisfaction

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Contemporary Social Sciences 2024年第4期9卷 105-121页

作者： Zhang Shuhua Chai Huihua Chen Hongquan College of business Administration Chongqing Three Gorges University school of Economics and business Administration Chongqing UniversityShapingbaChongqingChina400044

With the rapid development of information technology in contemporary times,the blended teaching mode that blends online and offline courses has become an international trend in higher *** blended tourism management courses at Chongqing Three Gorges University as an example,we explored the impact of such teaching reform on student satisfaction based on the SERVPERF *** analysis of 179 valid questionnaires revealed that five elements of the reform,namely,reliability,assurance,valuableness,responsiveness,and empathy,have a significant positive impact on students’learning ***,in the context of blended courses,factors such as a stable and reliable teaching environment,comprehensively guaranteed educational conditions,teaching content that highly aligns with students’demands and value expectations,prompt responses to students’needs and feedback,and empathetic consideration of students’perspectives are critical for enhancing student *** on these conclusions,we propose several strategies and methods for improving the effectiveness of blended teaching in the hope of propelling its continuous improvement and optimization,thus further elevating the quality of higher education.

关键词： blended courses satisfaction influencing factors improvement strategies

A novel AgNPs/MOF substrate-based SERS sensor for high-sensitive on-site detection of wheat gluten

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Food Science and Human Wellness 2024年第2期13卷 681-687页

作者： Linglin Fu Yanzhuo Du Jinru Zhou Huan Li Minzi Wang Yanbo Wang Food Safety Key Laboratory of Zhejiang Province School of Food Science and BiotechnologyZhejiang Gongshang UniversityHangzhou 310018China Zhejiang Engineering Research Institute of Food&Drug Quality and Safety School of Management and E-BusinessZhejiang Gongshang UniversityHangzhou 310018China Zhejiang Dien Biotech Co. Ltd.Hangzhou 310030China

Gluten,known as the major allergen in wheat,has gained increasing concerns in industrialized countries,resulting in an urgent need for accurate,high-sensitive,and on-site detection of wheat gluten in complex food ***,we proposed a silver nanoparticles(AgNPs)/metal-organic framework(MOF)substrate-based surface-enhanced Raman scattering(SERS)sensor for the high-sensitive on-site detection of wheat *** detection occurred on the newly in-situ synthesized AgNPs/MOF-modified SERS substrate,providing an enhancement factor(EF)of 1.89×10^(5).Benefitting from the signal amplification function of AgNPs/MOF and the superiority of SERS,this sensor represented high sensitivity performance and a wide detection range from 1×10^(-15)mol/L to 2×10^(-6)mol/L with a detection limit of 1.16×10^(-16)mol/L,which allowed monitoring the trace of wheat gluten in complex food system without matrix *** reliable sandwich SERS sensor may provide a promising platform for high-sensitive,accurate,and on-site detection of allergens in the field of food safety.

关键词： Wheat allergy Gluten Surface-enhanced Raman scattering Metal-organic framework DNA recognition

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Immunological disturbance effect of exogenous histamine towards key immune cells

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Food Science and Human Wellness 2024年第4期13卷 1856-1863页

作者： Yanan Liu Huan Li Chong Wang Shanjun Chen Renjie Lian Weiqiang Wang Linglin Fu Yanbo Wang Food Safety Key Laboratory of Zhejiang Province School of Food Science and BiotechnologyZhejiang Gongshang UniversityHangzhou 310018China Jinghai Group Co. Ltd.Rongcheng 264307China Jinhua Jinnian Ham Co. Ltd.Jinhua 321041China school of Food and Health Beijing Technology and Business UniversityBeijing 100048China

Histamine in food has attracted widespread attention due to the potential toxicity and associated health ***,its influences on immunological components,especially the function of key immune cells,are still poorly *** this work,we explored the effects of exogenous histamine on the function of key immune cells such as intestinal epithelial cells,dendritic cells,and T *** results showed that histamine could affect the expression of allergy-related genes in CMT93 cells at a high dose of ***,it’s found that histamine could cause an imbalance in the levels of relevant immune factors secreted by dendritic cells and T cells,especially those related to *** the same time,the proportion of MHC class IIpositive dendritic cells and the proportion of T helper 2(Th2)cells in CD4^(+)T cells increased after histamine *** concluded that the presence of a certain level of histamine in food may affect the expression of allergy-related cytokines,disrupt the balance of the immune homeostasis,and potentially lead to adverse immune *** work demonstrated the importance of including the estimation of histamine’s immune safety in aquatic products rather than merely considering the potential risk of food poisoning.

关键词： Histamine Immunological disturbance Food allergy Immune factor Edible safety

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On Penalized Goal-Reaching Probability Minimization with a Common Shock for an AAI

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Journal of Systems Science & Complexity 2024年

作者： HUANG Ying HUANG Ya ZHOU Jieming school of Mathematics and Statistics Central South University school of business Hunan Normal University MOE-LCSM School of Mathematics and Statistics Hunan Normal University Key Laboratory of Applied Statistics and Data Science Hunan Normal University College of Hunan Provinc

The authors consider a robust optimal reinsurance and investment problem in a risk model with two dependent classes of insurance business for an Ambiguity-Averse insurer(AAI). The insurer aims to minimize the goal-reaching probability that the value of the wealth process reaches a low barrier before a high goal. Using the stochastic control approach based on the Hamilton-JacobiBellman(HJB) equation, the authors derive the robust optimal reinsurance and investment strategies,as well as the corresponding value function. The authors conclude that the robust optimal investmentreinsurance strategy coincides with the one without model ambiguity, but the value function differs. As a consequence, ignoring model uncertainty leads to significant value function loss for the AAI. Besides,it is worth noting that if the insurer has only one business, the sum of the degenerated value function and the one of(Luo, et al., 2019) is equal to 1 both for ambiguity and ambiguity-neutral. Finally,numerical examples are given to illustrate our results.

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AWeb Application Fingerprint Recognition Method Based on Machine Learning

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 887-906页

作者： Yanmei Shi Wei Yu Yanxia Zhao Yungang Jia school of Integrated Circuit Science and Engineering Tianjin University of TechnologyTianjin300382China College of International business Zhejiang Yuexiu UniversityShaoxing312030China school of Public Administration Zhejiang Gongshang UniversityHangzhou310018China Tianjin Branch of National Computer Network Emergency Response Technical Team/Coordination Center of China Tianjin300100China

Web application fingerprint recognition is an effective security technology designed to identify and classify web applications,thereby enhancing the detection of potential threats and *** fingerprint recognition methods,which rely on preannotated feature matching,face inherent limitations due to the ever-evolving nature and diverse landscape of web *** response to these challenges,this work proposes an innovative web application fingerprint recognition method founded on clustering *** method involves extensive data collection from the Tranco List,employing adjusted feature selection built upon Wappalyzer and noise reduction through truncated SVD dimensionality *** core of the methodology lies in the application of the unsupervised OPTICS clustering algorithm,eliminating the need for preannotated *** transforming web applications into feature vectors and leveraging clustering algorithms,our approach accurately categorizes diverse web applications,providing comprehensive and precise fingerprint *** experimental results,which are obtained on a dataset featuring various web application types,affirm the efficacy of the method,demonstrating its ability to achieve high accuracy and broad *** novel approach not only distinguishes between different web application types effectively but also demonstrates superiority in terms of classification accuracy and coverage,offering a robust solution to the challenges of web application fingerprint recognition.

关键词： Web application fingerprint recognition unsupervised learning clustering algorithm feature extraction automated testing network security

Evolution of inclusions in vacuum induction melting of superalloys containing 70%return material

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Journal of Iron and Steel Research(International) 2024年第3期31卷 719-728页

作者： Jin-guo Gao Shu-lei Yang Shu-feng Yang Jing-she Li Wei Liu Meng-jing Zhao An-ren Wang school of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China Metallurgical and Building Materials business Department China International Engineering Consulting CorporationBeijing 100048China

The variation law of inclusions type and size in the vacuum induction melting process and ingot of Ni-based superalloy containing 70%return material was studied by industrial test sampling,and the mechanism of inclusions formation was analyzed with thermodynamic *** results show that there are mainly two types of composite inclusions in the vacuum induction melting of Ni-based superalloys,which are nitride-and oxide-based composite inclusions,like Al_(2)O_(3)-SiO_(2)-Cr_(2)O_(3),TiN-(Mo,Nb)C,*** type and proportion of inclusions from the center to the edge of the vacuum induction ingot did not change *** number density of inclusions from the center to the edge of the ingot varied less,and the size of inclusions became smaller from the center to the *** addition,thermodynamic calculations show that oxides(M_(2)O_(3))are present in the liquid phase and mainly contain Al,Ti,Cr,Fe and O *** nitride consists mainly of Ti and N and contains small amounts of Cr,C,Nb,and Mo *** is consistent with the results of industrial *** the temperature decreases,the precipitation phases such as M_(2)O_(3),MN,γ,MC,δ,γ'andμphases are gradually precipitated,where oxides and nitrides are present in the liquid *** contents of O and N elements are the main influencing factors for the inclusions content and precipitation temperature;when the nitrogen content is reduced to below 0.0015%,it can make MN precipitate below the liquid-phase line.

关键词： Ni-based superalloy Vacuum induction melting Return material Inclusion Thermodynamic

Multidimensional hollow SiO_(2)/C nanofibers modified by magnetic nanocrystals for electromagnetic energy conversion and lithium battery storage

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Nano Research 2024年第8期17卷 7301-7314页

作者： Chen Han Qi Zheng Juncheng Jin Jiajia Zhang Wen-Qiang Cao Kun Xiang Min Zhang Mao-Sheng Cao Anhui Provincial Laboratory of Biomimetic Sensor and Detecting Technology College of Materials and Chemical EngineeringWest Anhui UniversityLu’an 237012China school of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Department of Physics Beijing Technology and Business UniversityBeijing 100048China

Multifunctional materials are powerful tools to support the advancement of energy conversion *** with prominent electromagnetic and electrochemical properties can realize the conversion of electromagnetic energy and solve the subsequent storage ***,an electrospinning-thermal reduction method is employed to construct ultrafine nickel nanoparticle modified porous SiO_(2)/C(Ni-SiO_(2)/C)hollow nanofibers as promising materials for applications in both electromagnetic wave absorption(EMA)and lithium-ion ***,when used as an EMA material,the reflection loss(RL)of Ni-SiO_(2)/C can reach−47.8 dB at 15.8 GHz with a matching thickness of 2.2 *** excellent microwave absorption performance can be attributed to the enhanced conduction loss,polarization relaxation,synergistic magnetic loss,and preferred impedance matching,which result from multi-component magnetic/dielectric synergy and the unique interconnected multidimensional hollow ***,the electronic conductivity and electrochemical activity of the samples are significantly enhanced due to the uniform distribution of ultrafine Ni nanoparticles in the amorphous SiO_(2)/C ***,the hierarchical hollow porous structure provides sufficient free space for volume change during lithiation/delithiation ***,the Ni-SiO_(2)/C nanocomposite exhibits a high reversible capacity of 917.6 mAh·g^(−1)at 0.1 A·g^(−1).At a high current density of 2 A·g^(−1),a capacity of 563.9 mAh·g^(−1)can be maintained after 300 *** energy conversion-storage device is designed to store waste electromagnetic energy in the form of useful electrical *** work inspires the development of high-performance bifunctional materials.

关键词： Ni-SiO_(2)/C nanofiber electromagnetic absorption lithium-ion storage electrospinning multidimensional structure

A biased edge enhancement method for truss-based community search

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Frontiers of Computer Science 2024年第3期18卷 251-253页

作者： Yuqi LI Tao MENG Zhixiong HE Haiyan LIU Keqin LI school of Computer and Information Engineering Central South University of Forestry and TechnologyChangsha 410082China school of business Central South University of Forestry and TechnologyChangsha 410082China College of Information Engineering Changsha Medical UniversityChangsha 410219China Department of Computer Science State University of New YorkNew York 12561USA

1 Introduction A related study called community search,whose target is to find dense subgraphs containing the given node,has drawn a growing amount of attention recently[1].To explore the higher-order structure of complex networks,truss-based community search methods[2]have been ***,the truss-based hypergraph constructed from the original graph is frequently fragmented and consists of numerous subgraphs and isolated nodes[3],which boils down to the fact that these methods often pay only attention to the truss connections but ignore the lower-order connectivity of the original graph.

关键词： graph. truss connectivity

A review of concrete bridge surface defect detection based on deep learning

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Optoelectronics Letters 2024年

作者： LIAO Yanna HUANG Chaoyang Abdel-Hamid Soliman school of Electronic Engineering Xi'an University of Posts and Telecommunications school of Digital Technology Innovation and business Staffordshire University

The detection of surface defects in concrete bridges using deep learning is of significant importance for reducing operational risks， saving maintenance costs， and driving the intelligent transformation of bridge defect detection. In contrast to the subjective and inefficient manual visual inspection， deep learning-based algorithms for concrete defect detection exhibit remarkable advantages， emerging as a focal point in recent research. This paper comprehensively analyzes the research progress of deep learning algorithms in the field of surface defect detection in concrete bridges in recent years. It introduces the early detection methods for surface defects in concrete bridges and the development of deep learning. Subsequently， it provides an overview of deep learning-based concrete bridge surface defect detection research from three aspects: image classification， object detection， and semantic segmentation. The paper summarizes the strengths and weaknesses of existing methods and the challenges they face. Additionally， it analyzes and prospects the development trends of surface defect detection in concrete bridges.

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