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Impacts of information about COVID-19 on pig farmers'production willingness and behavior:Evidence from China

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Journal of Integrative Agriculture 2024年第4期23卷 1429-1441页

作者： huan Chen Lei Mao Yuehua zhang School of Public Affairs Zhejiang UniversityHangzhou 310058China School of Insurance Central University of Finance and EconomicsBeijing 100081China Innovation Center of Yangtze River Delta Zhejiang UniversityJiaxing 314100China

This paper examines the impacts of information about COVID-19 on pig farmers'production willingness by using endorsement experiments and follow-up surveys conducted in 2020 and 2021 in *** results show that,first,farmers were less willing to scale up production when they received information about *** information in 2020 that the second wave of COVID-19 might occur without a vaccine reduced farmers'willingness to scale up by 13.4%,while the information in 2021 that COVID-19 might continue to spread despite the introduction of vaccine reduced farmers'willingness by 4.4%.Second,farmers whose production was affected by COVID-19 were considerably less willing to scale up,given the access to COVID-19 ***,farmers'production willingness can predict their actual production behavior.

关键词： COVID-19 randomized experiment information treatment production willingness

Generative adversarial network based novelty detection using minimized reconstruction error

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Frontiers of Information Technology & Electronic Engineering 2018年第1期19卷 116-125页

作者： huan-gang WANG Xin LI Tao zhang Department of Automation School of Information Science and TechnologyTsinghua University

Generative adversarial network(GAN) is the most exciting machine learning breakthrough in recent years,and it trains the learning model by finding the Nash equilibrium of a two-player zero-sum *** is composed of a generator and a discriminator,both trained with the adversarial learning *** this paper,we introduce and investigate the use of GAN for novelty *** training,GAN learns from ordinary ***,using previously unknown data,the generator and the discriminator with the designed decision boundaries can both be used to separate novel patterns from ordinary *** proposed GAN-based novelty detection method demonstrates a competitive performance on the MNIST digit database and the Tennessee Eastman(TE) benchmark process compared with the PCA-based novelty detection methods using Hotelling's T^2 and squared prediction error statistics.

关键词： Generative adversarial network(GAN) Novelty detection Tennessee Eastman(TE) process

Numerical evaluation of segmental tunnel lining with voids in outside backfill

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Underground Space 2022年第5期7卷 786-797页

作者： Jia-Xuan zhang Ning zhang Annan Zhou shui-Long Shen Department of Civil Engineering School of Naval ArchitectureOceanand Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China MOE Key Laboratory of Intelligent Manufacturing Technology Department of Civil and Environmental EngineeringCollege of EngineeringShantou UniversityShantouGuangdong 515063China Discipline of Civil and Infrastructure School of EngineeringRoyal Melbourne Institute of Technology(RMIT)Victoria 3001Australia

This paper presents a numerical investigation of the mechanical behaviour of segmental linings owing to the existence of voids in the composite *** composite lining was formed by mining outside and shield tunnelling inside with backfill in *** element method was conducted to analyse the axial forces and bending moment for voids of different diameters at different *** results show that the axial forces in the transverse section increase near the crown and then invert and decrease on the left and right sides with an increase in the void centre angle(β)measured from the vertical *** increase in void diameter(d<300 mm)induces an increase in the axial force on the left and right sides when β=45°and 90°,while it decreases near the crown and *** occurrence of voids leads to an increase in the bending moment in the entire segment section with an angle β.

关键词： Jointly constructed tunnel Composite lining Voids Axial force Bending moment

Mobile Edge Computing Servers Deployment with Improved Genetic Algorithm in Cellular Internet of Things

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China Communications 2023年第9期20卷 215-226页

作者： huan zhang Junhui Zhao Lihua Yang Ziyang zhang School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China School of Information Engineering East China Jiaotong UniversityNanchang 330013China Lenovo Research Lenovo Group LimitedBeijing 100094China

Mobile edge computing(MEC)provides services to devices and reduces latency in cellular internet of things(IoT)***,the challenging problem is how to deploy MEC servers economically and *** paper investigates the deployment problem of MEC servers of the real-world road network by employing an improved genetic algorithm(GA)*** first use the threshold-based K-means algorithm to form vehicle clusters according to their *** then select base stations(BSs)based on clustering center coordinates as the deployment locations set for potential MEC *** further select BSs using a combined simulated annealing(SA)algorithm and GA to minimize the deployment *** simulation results show that the improved GA deploys MEC servers *** addition,the proposed algorithm outperforms GA and SA algorithms in terms of convergence speed and solution quality.

关键词： deployment of MEC servers IoT im-proved GA cost

A Survey of Convolutional Neural Network in Breast Cancer

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2127-2172页

作者： Ziquan Zhu shui-Hua Wang Yu-Dong zhang School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK

Problems:For people all over the world,cancer is one of the most feared *** is one of the major obstacles to improving life expectancy in countries around the world and one of the biggest causes of death before the age of 70 in 112 *** all kinds of cancers,breast cancer is the most common cancer for *** data showed that female breast cancer had become one of themost common ***:A large number of clinical trials have proved that if breast cancer is diagnosed at an early stage,it could give patients more treatment options and improve the treatment effect and survival *** on this situation,there are many diagnostic methods for breast cancer,such as computer-aided diagnosis(CAD).Methods:We complete a comprehensive review of the diagnosis of breast cancer based on the convolutional neural network(CNN)after reviewing a sea of recent ***,we introduce several different imaging *** structure of CNN is given in the second *** that,we introduce some public breast cancer data ***,we divide the diagnosis of breast cancer into three different tasks:***;***;***:Although this diagnosis with CNN has achieved great success,there are still some limitations.(i)There are too few good data sets.A good public breast cancer dataset needs to involve many aspects,such as professional medical knowledge,privacy issues,financial issues,dataset size,and so on.(ii)When the data set is too large,the CNN-based model needs a sea of computation and time to complete the diagnosis.(iii)It is easy to cause overfitting when using small data sets.

关键词： Breast cancer convolutional neural network deep learning review image modalities

Adsorption dynamics of ethane from air in structured fixed beds with different microfibrous composites

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Chinese Journal of Chemical Engineering 2023年第1期53卷 14-24页

作者： huan Xiang Huiping zhang Pengfei Liu Ying Yan School of Chemistry and Chemical Engineering Guangdong Provincial Key Laboratory of Green Chemical Product TechnologySouth China University of TechnologyGuangzhou 510640China Energy and Bioproducts Research Institute(EBRI) Aston UniversityBirmingham B47ETUnited Kingdom

Adsorption dynamics of ethane in two granular fixed beds and structured fixed beds with microfibrous composites was studied.5A zeolite membrane 5A/PSSF(paper-like sintered stainless steel fiber)and microfibrous entrapped activated carbon(MEAC)composites were prepared by wet layup papermaking/sintering technique and in-situ hydrothermal *** composites were characterized by X-ray diffraction,scanning electron microscopy and N2 adsorption/*** fixed beds were designed by filling granular adsorbents(5A zeolite or activated carbon)and microfibrous composites at the inlet and outlet of the beds,*** of flow rate,bed height and structure on the breakthrough curves were *** length of unused bed(LUB)was determined,and Yoon–Nelson model was used to fit the breakthrough *** experimental results showed ethane was effectively adsorbed on the granular adsorbents and microfibrous *** composites could decrease the LUB values and enhance bed *** breakthrough curves fitted well to Yoon–Nelson model,with correlation coefficient exceeding *** adsorption rate of ethane could be improved in the structured fixed beds,which showed an enhanced mass transfer efficiency for ethane *** values of structured fixed beds with 5A/PSSF composites were larger,the bed utilization values were lower,and the adsorption rate constants were higher than those with MEAC composites under the same conditions.

关键词： 5A zeolite membrane Microfibrous entrapped activated carbon Ethane Structured fixed bed Adsorption dynamics

Facile fabrication of dolomite-doped biochar/bentonite for effective removal of phosphate from complex wastewaters

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Frontiers of Environmental Science & Engineering 2023年第6期17卷 85-98页

作者： huan Xi Fanlu Min Zhanhu Yao Jianfeng zhang College of Mechanics and Materials Hohai UniversityNanjing 211100China Key Laboratory of Geomechanics and Embankment Engineering(Ministry of Education) Hohai UniversityNanjing 210098China CCCC First Highway Engineering Group Co. Ltd.Beijing 100102China

The removal of phosphate from wastewater using traditional biological or precipitation methods is a huge *** use of high-performance adsorbents has been shown to address this *** this study,a novel composite adsorbent,composed of dolomite-doped biochar and bentonite(DO/BB),was first synthesized via *** combination of initial phosphate concentration of 100 mg/L and 1.6 g/L of DO/BB exhibited a high phosphate-adsorption capacity of 62 mg/g with a removal efficiency of 99.8%.It was also stable in complex water environments with various levels of solution pH,coexisting anions,high salinity,and humic *** this new composite,the phosphate concentration of the actual domestic sewage decreased from 9 mg/L to less than 1 mg/L,and the total nitrogen and chemical oxygen demand also decreased ***,the cross-flow treatment using a PVC membrane loaded with DO/BB(PVC-DO/BB),decreased the phosphate concentration from 1 to 0.08 mg/L,suggesting outstanding separation of phosphate pollutants via a combination of adsorption and *** addition,the removal of phosphate by the PVC-DO/BB membrane using NaOH solution as an eluent was almost 90%after 5 *** kinetic,isotherm and XPS analysis before and after adsorption suggested that adsorption via a combination of electrostatic interaction,complexation and precipitation contributed to the excellent separation by the as-obtained membranes.

关键词： Biochar-bentonitecomposite Dolomite doping Phosphate adsorption Polymericmatrixmembrane Adsorption-filtration dual functions Low-concentration phosphate

Surveillance Video Key Frame Extraction Based on Center Offset

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Computers, Materials & Continua 2021年第9期68卷 4175-4190页

作者： Yunzuo zhang Shasha zhang Yi Li Jiayu zhang Zhaoquan Cai shui Lam School of Information Science and Technology Shijiazhuang Tiedao UniversityShijiazhuang050043 China 2Department of Computer Science and Engineering Huizhou UniversityHuizhou516007 China 3College of Engineering California State UniversityLong BeachCA90185USA

With the explosive growth of surveillance video data,browsing videos quickly and effectively has become an urgent *** key frame extraction has received widespread attention as an effective ***,accurately capturing the local motion state changes of moving objects in the video is still challenging in key frame *** target center offset can reflect the change of its motion *** observation proposed a novel key frame extraction method based on moving objects center offset in this *** proposed method utilizes the center offset to obtain the global and local motion state information of moving objects,and meanwhile,selects the video frame where the center offset curve changes suddenly as the key *** processing effectively overcomes the inaccuracy of traditional key frame extraction ***,extracting the center point of each ***,calculating the center point offset of each frame and forming the center offset curve by connecting the center offset of each ***,extracting candidate key frames and optimizing them to generate final key *** experimental results demonstrate that the proposed method outperforms contrast methods to capturing the local motion state changes of moving objects.

关键词： Center offset local motion key frame extraction moving object detection

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Living electronics

Nano Research 2020年第5期13卷 1205-1213页

作者： Yixin zhang Leo(huan-Hsuan)Hsu Xiaocheng Jiang Department of Biomedical Engineering Tufts UniversityMedfordMA 02155USA

Living electronics that converges the unique functioning modality of biological and electrical circuits has the potential to transform both fundamental biophysical/biochemical inquiries and translational biomedical/engineering *** article will review recent progress in overcoming the intrinsic physiochemical and signaling mismatches at biological/electronic interfaces,with specific focus on strategic approaches in forging the functional synergy through:(1)biohybrid electronics,where genetically encoded bio-machineries are hybridized with electronic transducers to facilitate the translation/interpretation of biologically derived signals;and(2)biosynthetic electronics,where biogenic electron pathways are designed and programmed to bridge the gap between internal biological and external electrical *** efforts are reconstructing the way that artificial electronics communicate with living systems,and opening up new possibilities for many cross-disciplinary applications in biosynthesis,sensing,energy transduction,and hybrid information processing.

关键词： bioelectronics signaling biohybrid synthetic biology extracellular electron transfer electrochemically active bacteria