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城市辐射场热效应评价分析

东南大学学报(自然科学版) 2025年第1期55卷 284-289页

作者：刘大龙周玥文莉娟孙恬高密度人居环境生态与节能教育部重点实验室上海200092 西安建筑科技大学建筑学院西安710055

为有效评估城市辐射场的环境热效应、完善城市热环境营造技术体系,开展了城市辐射场热效应评价研究。阐述了由下垫面和建筑表面组成的城市辐射场的形成方式,分析了辐射场的热作用过程,提出了一种基于下垫面和建筑表面的辐射场热效应评... 详细信息

为有效评估城市辐射场的环境热效应、完善城市热环境营造技术体系,开展了城市辐射场热效应评价研究。阐述了由下垫面和建筑表面组成的城市辐射场的形成方式,分析了辐射场的热作用过程,提出了一种基于下垫面和建筑表面的辐射场热效应评价方法。以西安夏季为例,开展了基于评价指标的辐射场热作用优化设计。结果表明:改善后的场地辐射热指数明显下降,沥青下垫面辐射热指数下降14.8%,空气温度下降3.0%;铺面砖下垫面辐射热指数下降24.3%,空气温度下降2.4%。城市辐射场热效应评价指标可有效表征城市辐射热作用,对研究城市热辐射作用、指导城市热环境设计具有借鉴作用。

关键词：城市热环境城市辐射场热效应评价下垫面建筑表面

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Enhanced oral drug delivery by mimicking natural amino acid and oligopeptide absorption route

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Nano Research 2025年第2期18卷 525-540页

作者： Ruinan Wu Xiaoxing Fan Licheng Wu Liyun Xing Jinxia Kong zhou zhou Jingyuan Wen Lian Li Yuan Huang Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial TechnologyWest China School of PharmacySichuan UniversityChengdu 610041China School of Pharmacy Faculty of Medical and Health SciencesUniversity of AucklandAuckland 1023New Zealand

Oral delivery of protein and peptide drugs presents considerable challenges due to their susceptibility to digestive enzymes in gastrointestinal(Gl)tract and low efficiency of transepithelial ***,inspired by efficient absorption of protein-based nutrients,we constructed several kinds of oral drug delivery systems by mimicking natural amino acid and oligopeptide absorption *** kinds of amino acids and two kinds of oligopeptides were chosen as targeting ligands to mediate transportation of orally administered nanoparticles(NPs).Liraglutide(Lira),a kind of glucagon like peptide-1(GLP-1)receptor agonist,was used as model *** functionalized NPs could protect Lira from enzymatic degradation in Gl ***,compared with amino acid-modified NPs,oligopeptide-modified NPs exhibited greater transepithelial transport efficiency and were primarily absorbed in the proximal small intestine due to the high expression and transportation mediated by proton coupled oligopeptide transporter 1(PEPT1).These Lira-loaded NPs could effectively control the blood glucose level,reduce plasma lipid level,and repair tissue damage on type 2 diabetic mice and even showed comparable hypoglycemic effects of subcutaneous injection(s.c.)free *** study demonstrates the potential of mimicking natural oligopeptide absorption route to enhance oral delivery of protein and peptide drugs.

关键词： oral drug delivery amino acid absorption route oligopeptide absorption route liraglutide

A FUNCTIONAL ORLICZ BUSEMANN-PETTY CENTROID INEQUALITY FOR LOG-CONCAVE FUNCTIONS

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Acta Mathematica Scientia 2025年第1期45卷 52-71页

作者： Xiao LI Jiazu zhou School of Mathematical Sciences Chongqing Normal UniversityChongqing401331China School of Mathematics and Big Data Guizhou Education UniversityGuiyang550018China

In this paper,the Orlicz centroid function for log-concave functions is introduced.A rearrangement inequality of the Orlicz centroid function for log-concave functions is *** rearrangement inequality implies the Orlic... 详细信息

关键词： centroid bodies Busemann-Petty centroid inequality log-concave functions Steiner symmetrization

Eosinophilia and clonorchiasis presenting as fever of unknown origin in adult patients

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World Journal of Emergency Medicine 2025年第1期16卷 91-93页

作者： Jie Zhong Xin zhou Wei Gu Department of Emergency Medicine Chuiyangliu HospitalBeijing 100022China

Fever of unknown origin(FUO)is recognized as fever with uncertain diagnosis despite three days of hospital admission or three or more outpatient visits.[1]Acute liver fluke infection is characterized by fever,right upper quadrant pain,hepatomegaly,jaundice,and peripheral blood *** contrast,chronic liver fluke infection is asymptomatic in its early stage,but can easily progress to cirrhosis,cancer,or bile duct cancer *** diagnosis of clonorchiasis is particularly challenging in non-endemic *** herein report an unusual case of liver fluke infection in a patient who presented with FUO and eosinophilia.A 38-year-old male was admitted to our hospital with a history of intermittent and recurrent fever for over 10 d and a history of sudden abdominal pain for1 *** had no other medical *** than 10d ago,he visited our emergency department because of FUO,with his body temperature reaching 39.7℃,and he had no other symptoms at that *** and radiological examinations revealed:white blood cell(WBC)counts,10.9×10^(9)/L;neutrophil percentage,84.5%;eosinophil percentage,3.1%;C-reactive protein(CRP),141 mg/L;liver and kidney function,normal;influenza virus,negative;urine and stool tests,normal;and chest computed tomography(CT)findings,*** fever subsided after 1 week of anti-infective treatment with *** tests revealed the following results:WBC,15.0×10^(9)/L;neutrophil percentage,70.0%;eosinophil percentage,16.8%;and CRP,122 mg/*** antimicrobial treatment was then discontinued.

关键词： fever diagnosis admitted

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A Generative Model-Based Network Framework for Ecological Data Reconstruction

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Computers, Materials & Continua 2025年第1期82卷 929-948页

作者： Shuqiao Liu Zhao Zhang Hongyan zhou Xuebo Chen School of Electronic and Information Engineering University of Science and Technology LiaoningAnshan114051China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan114051China

This study examines the effectiveness of artificial intelligence techniques in generating high-quality environmental data for species introductory site selection *** Strengths,Weaknesses,Opportunities,Threats(SWOT)analysis data with Variation Autoencoder(VAE)and Generative AdversarialNetwork(GAN)the network framework model(SAE-GAN),is proposed for environmental data *** model combines two popular generative models,GAN and VAE,to generate features conditional on categorical data embedding after SWOT *** model is capable of generating features that resemble real feature distributions and adding sample factors to more accurately track individual sample *** data is used to retain more semantic information to generate *** model was applied to species in Southern California,USA,citing SWOT analysis data to train the *** show that the model is capable of integrating data from more comprehensive analyses than traditional methods and generating high-quality reconstructed data from them,effectively solving the problem of insufficient data collection in development *** model is further validated by the Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)classification assessment commonly used in the environmental data *** study provides a reliable and rich source of training data for species introduction site selection systems and makes a significant contribution to ecological and sustainable development.

关键词： Convolutional Neural Network(CNN) VAE GAN TOPSIS data reconstruction

Malicious Document Detection Based on GGE Visualization

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Computers, Materials & Continua 2025年第1期82卷 1233-1254页

作者： Youhe Wang Yi Sun Yujie Li Chuanqi zhou Henan Province Key Laboratory of Information Security Information Engineering UniversityZhengzhou450000China

With the development of anti-virus technology,malicious documents have gradually become the main pathway of Advanced Persistent Threat(APT)attacks,therefore,the development of effective malicious document classifiers has become particularly ***,detection methods based on document structure and behavioral features encounter challenges in feature engineering,these methods not only have limited accuracy,but also consume large resources,and usually can only detect documents in specific formats,which lacks versatility and *** address such problems,this paper proposes a novel malicious document detection method-visualizing documents as GGE images(Grayscale,Grayscale matrix,Entropy).The GGE method visualizes the original byte sequence of the malicious document as a grayscale image,the information entropy sequence of the document as an entropy image,and at the same time,the grayscale level co-occurrence matrix and the texture and spatial information stored in it are converted into grayscale matrix image,and fuses the three types of images to get the GGE color *** Convolutional Block Attention Module-EfficientNet-B0(CBAM-EfficientNet-B0)model is then used for classification,combining transfer learning and applying the pre-trained model on the ImageNet dataset to the feature extraction process of GGE *** shown in the experimental results,the GGE method has superior performance compared with other methods,which is suitable for detecting malicious documents in different formats,and achieves an accuracy of 99.44%and 97.39%on Portable Document Format(PDF)and office datasets,respectively,and consumes less time during the detection process,which can be effectively applied to the task of detecting malicious documents in real-time.

关键词： Malicious document visualization EfficientNet-B0 convolutional block attention module GGE image

Tuning the interfacial reaction environment via pH-dependent and induced ions to understand C–N bonds coupling performance in NO_(3)-integrated CO_(2)reduction to carbon and nitrogen compounds over dual Cu-based N-doped carbon catalyst

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Journal of Energy Chemistry 2025年第1期100卷 273-285页

作者： Tianhang zhou Chen Shen Zhenghao Wu Xingying Lan Yi Xiao College of Carbon Neutrality Future Technology State Key Laboratory of Heavy Oil ProcessingChina University of Petroleum(Beijing)Beijing 102249China Department of Mechanical and Mechatronics Engineering and Waterloo Institute of Nanotechnology University of Waterloo WaterlooOntario N2L 3G1Canada Institute of Materials Science TU DarmstadtDarmstadt 64287Germany Department of Chemistry Xi’an Jiaotong-Liverpool UniversitySuzhou 215123JiangsuChina

Dual atomic catalysts(DAC),particularly copper(Cu_(2))-based nitrogen(N)doped graphene,show great potential to effectively convert CO_(2)and nitrate(NO_(3)-)into important industrial chemicals such as ethylene,glycol,acetamide,and urea through an efficient catalytical process that involves C–C and C–N ***,the origin of the coupling activity remained unclear,which substantially hinders the rational design of Cu-based catalysts for the N-integrated CO_(2)reduction reaction(CO_(2)RR).To address this challenge,this work performed advanced density functional theory calculations incorporating explicit solvation based on a Cu_(2)-based N-doped carbon(Cu_(2)N_(6)C_(10))catalyst for CO_(2)*** calculations are aimed to gain insight into the reaction mechanisms for the synthesis of ethylene,acetamide,and urea via coupling in the interfacial reaction *** to the sluggishness of CO_(2),the formation of a solvation electric layer by anions(F^(-),Cl^(-),Br^(-),and I^(-))and cations(Na+,Mg^(2+),K+,and Ca^(2+))leads to electron transfer towards the Cu *** process significantly accelerates the reduction of CO_(2).These results reveal that*CO intermediates play a pivotal role in N-integrated CO_(2)***,the Cu_(2)-based N-doped carbon catalyst examined in this study has demonstrated the most potential for C–N coupling to *** findings reveal that through the process of a condensation reaction between*CO and NH_(2)OH for urea synthesis,*NO_(3)-is reduced to*NH_(3),and*CO_(2)to*CCO at dual Cu atom *** dual-site reduction facilitates the synthesis of acetamide through a nucleophilic reaction between NH_(3)and the ketene ***,we found that the I-and Mg^(2+)ions,influenced by pH,were highly effective for acetamide and ammonia synthesis,except when F-and Ca^(2+)were ***,the mechanisms of C–N bond formation were investigated via ab-initio molecular dynamics simulations,and we found that adjusti

关键词： pH-dependent micro-environments C-N coupling N-integrated CO_(2)RR Dual Cu-based nitrogen carbon catalysts Explicit solvation model lon stabilizer AIMD

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A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 369-380页

作者： Tianyu Wang Fan zhou Yangjie Wu Jun Zhao Wei Wang IEEE the School of Control Science and Engineering Dalian University of Technology the School of Information Science and Engineering Dalian Polytechnic University

As a crucial storage and buffering apparatus for balancing the production and consumption of byproduct gases in industrial processes, accurate prediction of gas tank levels is essential for optimizing energy system scheduling. Considering that the continuous switching of the pressure and valve status(mechanism knowledge) would bring about multiple working conditions of the equipment, a multi-condition time sequential network ensembled method is proposed. In order to especially consider the time dependence of different conditions, a centralwise condition sequential network is developed, where the network branches are specially designed based on the condition switching sequences. A branch combination transfer learning strategy is developed to tackle the sample imbalance problem of different condition data. Since the condition or status data are real-time information that cannot be recognized during the prediction process, a pre-trained and ensemble learning approach is further proposed to fuse the outputs of the multi-condition networks and realize a transient-state involved prediction. The performance of the proposed method is validated on practical energy data coming from a domestic steel plant, comparing with the state-of-the-art algorithms. The results show that the proposed method can maintain a high prediction accuracy under different condition switching cases, which would provide effective guidance for the optimal scheduling of the industrial energy systems.

关键词： Ensemble learning industrial energy prediction multi-working condition structural deep network transfer learning

Grid-Connected/Islanded Switching Control Strategy for Photovoltaic Storage Hybrid Inverters Based on Modified Chimpanzee Optimization Algorithm

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Energy Engineering 2025年第1期122卷 265-284页

作者： Chao zhou Narisu Wang Fuyin Ni Wenchao Zhang School of Electrical and Information Engineering Jiangsu University of TechnologyChangzhou213001China Jiangsu Key Laboratory of Power Transmission&Distribution Equipment Technology Jiangsu University of TechnologyChangzhou213001China

Uneven power distribution,transient voltage,and frequency deviations are observed in the photovoltaic storage hybrid inverter during the switching between grid-connected and island *** response to these issues,this paper proposes a grid-connected/island switching control strategy for photovoltaic storage hybrid inverters based on the modified chimpanzee optimization *** proposed strategy incorporates coupling compensation and power differentiation elements based on the traditional droop ***,it combines the angular frequency and voltage amplitude adjustments provided by the phase-locked loop-free pre-synchronization control *** pre-synchronization is achieved by regulating the virtual current to zero and aligning the photovoltaic storage hybrid inverter with the grid ***,two novel operators,learning and emotional behaviors are introduced to enhance the optimization precision of the chimpanzee *** operators ensure high-precision and high-reliability optimization of the droop control parameters for photovoltaic storage hybrid inverters.A Simulink model was constructed for simulation analysis,which validated the optimized control strategy’s ability to evenly distribute power under load *** strategy effectively mitigated transient voltage and current surges during mode ***,seamless and efficient switching between gridconnected and island modes was achieved for the photovoltaic storage hybrid *** enhanced energy utilization efficiency,in turn,offers robust technical support for grid stability.

关键词： Photovoltaic storage hybrid inverters modified chimpanzee optimization algorithm droop control seamless switching