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Influence of Host Shift on Genetic Differentiation of the Oriental Fruit Fly,Bactrocera dorsalis

Journal of Integrative Agriculture 2014年第12期13卷 2701-2708页

作者： WAN xuan-wu LIU Ying-hong LUO Lin-ming FENG Chuan-hong wang Sheng MA Li College of Plant Protection Southwest University/Chongqing Key Laboratory of Entomology and Pest Control Engineering Sichuan Plant Protection Station

Invasion of the oriental fruit lfy, Bactrocera dorsalis, into new niches containing different food sources （a process referred to as host shift）, may cause population genetic differentiation and sympatric speciation. To attempt to infer that experimentally, test populations were established by transferring a subset of the original populations, which had been grown on banana for many generations, onto navel orange, and then subculturing the navel orange population and banana population for at least 20 generations. Four pairs of SSR primers with high polymorphism on laboratory strains were used to detect population genetic differentiation. All six tested populations （the 5th, 10th and 15th generations of B. dorsalis fed on banana and navel orange, respectively） were found to have low genetic diversity. Furthermore, the genetic diversity of the navel orange populations was found to decline after being crossed for several generations. Populations initially were deviated from Hardy-Weinberg equilibrium, however, equilibrium was achieved with increasing numbers of generations in both of the host populations. Limited gene lfows were found among the six populations. The Nei’s standard genetic distances between the two host populations of the same generation were initially low, but increased with generation number. Genetic distances between banana and navel orange populations of the same generation were lower than genetic distances between different generations grown on the same host plant. Analysis of molecular distance （AMOVA） results based on generation groups and host groups demonstrated that genetic variation among generations was greater than that between the two host populations. The results indicated that population genetic differentiation occurred after the host shift, albeit at low level. Biogeography and taxonomy of the B. dorsalis complex revealed that speciation of B. dorsalis might be tightly associated with host shift or host specialization of B. dorsalis foll

关键词： Bactrocera dorsalis oriental fruit lfy host shift population genetic differentiation sympatric speciation

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Benefit-Risk Assessment of Chinese Medicine Injections for Primary Liver Cancer Based on Multi-criteria Decision Analysis

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Chinese Journal of Integrative Medicine 2024年第6期30卷 559-564页

作者： ZHANG Rong-rong SHAO ming-yi FU Yu ZHAO Rui-xia wang Jing-wen FANG Yu-xuan The First Clinical Medical College of Henan University of Traditional Chinese Medicine Zhengzhou450046China Personal Department the First Affiliated Hospital of Henan University of Chinese MedicineZhengzhou450000China Scientific Research Department the First Affiliated Hospital of Henan University of Chinese MedicineZhengzhou450000China Digestive Department the First Affiliated Hospital of Henan University of Chinese MedicineZhengzhou450000China

ObjectiveTo evaluate the benefit-risk of 3 commonly used Chinese medicine injections, Aidi Injection (ADI), Cinobufagin Injection (CINI) and Compound Kushen Injection (CKI), in the treatment of primary liver cancer (PLC), so as to provide a reference for clinical *** controlled trials (RCTs) of ADI, CINI and CKI in the treatment of PLC published in the databases of China National Knowledge Infrastructure, Wanfang, China Science and Technology Journal Database, SinoMed, PubMed, Cochrane Library, and Web of Science were retrieved from January 2020 to October 2022. The data of benefit and risk indicators were combined to obtain the effect value. The multi-criteria decision analysis (MCDA) model was applied to build the decision tree. The benefit value, risk value and benefit risk value of the 3 injections in PLC treatment were calculated. Monte Carlo simulation was carried out to calculate the 95% confidence interval and probability of differences among the 3 injections, so as to optimize the evaluation *** total of 71 RCTs were included. The benefit values of ADI, CINI and CKI combined with transcatheter arterial chemoembolization (TACE) were 42, 38 and 36, respectively. The risk values were 42, 25 and 37, respectively. The benefit risk values were 42, 31 and 37, respectively. The benefit risk differences of ADI vs. CINI, ADI vs. CKI, and CKI vs. CINI were 11 (−0.86, 17.75), 5 (−5.01, 11.09), and 6 (−1.87, 12.63), respectively. The probability that ADI superior to CINI, ADI superior to CKI, and CKI superior to CINI was 96.26%, 77.27%, and 92.62%, *** on the results of MCDA model, CINI combined with TACE has the greatest risk in the treatment of the PLC. Considering the efficacy and safety, the possible priority of the 3 Chinese medicine injections combined with TACE in the treatment of PLC is ADI, CKI and CINI.

关键词： multi-criteria decision analysis benefit-risk assessment Chinese medicine injections primary livercancer

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Training and Testing Object Detectors With Virtual Images

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IEEE/CAA Journal of Automatica Sinica 2018年第2期5卷 539-546页

作者： Yonglin Tian xuan Li Kunfeng wang Fei-Yue wang Department of Automation University of Science and Technology of China Hefei 230027 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijirtg 100190 China School of Automation Beijing Institute of Technology Beijing 100081. China Qingdao Academy of Intelligent Industries Qingdao 266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China IEEE

In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data. However, collecting and annotating images from the real world is too demanding in terms of labor and money investments, and is usually inflexible to build datasets with specific characteristics, such as small area of objects and high occlusion level. Under the framework of Parallel Vision, this paper presents a purposeful way to design artificial scenes and automatically generate virtual images with precise annotations.A virtual dataset named Parallel Eye is built, which can be used for several computer vision tasks. Then, by training the DPM(Deformable parts model) and Faster R-CNN detectors, we prove that the performance of models can be significantly improved by combining Parallel Eye with publicly available real-world datasets during the training phase. In addition, we investigate the potential of testing the trained models from a specific aspect using intentionally designed virtual datasets, in order to discover the flaws of trained models. From the experimental results, we conclude that our virtual dataset is viable to train and test the object detectors.

关键词： Index Terms--Deep learning object detection parallel vision virtual dataset

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Observations of contrasted glacial-interglacial dissolution of foraminifera above the lysocline in the Bay of Bengal,northeastern Indian Ocean

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Acta Oceanologica Sinica 2021年第1期40卷 155-161页

作者： Duo wang xuan Ding Franck Bassinot School of Ocean Sciences China University of Geosciences(Beijing)Beijing 100083China Laboratoire des Sciences du Climat et de l’Environnement National Agency for Nuclear Energy/National Centre for Scientifique Research/University of Versailles-Saint QuentinGif-sur-Yvette 91198France

Site U1446(19°50’N,85°44’E,at water depth 1430 m)was drilled during Expedition 353(Indian monsoon rainfall)of the International Ocean Discovery Program(IODP).It is located in the Mahanadi offshore basin,on the northern Bay of *** rates and contents of biocarbonates are high at this relatively shallow *** a micropaleontological approach,we examined planktonic and benthic foraminifera in the upper around 40 m of this site,spanning the last around 190 ka.A striking feature of the foraminiferal record is the occurrence of strong but varying dissolution although the site is located well above the modern *** strong dissolution has never been reported in this *** estimated the flux of foraminifera and quantified the ratio of benthic foraminifera over total foraminifera(benthic/total foraminifera)along with the foraminifer fragmentation index in order to characterize past changes in this above-lysocline *** study reveals a clear glacialinterglacial contrast,with a stronger dissolution during marine isotope stages(MISs)1 and 5 than during MISs 2–4 and *** a difference in preservation is likely to have a strong impact on geochemical proxies measured on *** new observations call for an in-depth study of the causes of such above-lysocline dissolution in the region,and an evaluation of its impact on the foraminifera-based proxies used for paleoenvironmental reconstruction.

关键词： foraminifera dissolution lysocline glacial-interglacial Bay of Bengal

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Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion

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Journal of Intelligent and Connected Vehicles 2023年第4期6卷 237-249页

作者： Quan Yuan Haixu Shi Ashton Tan Yu xuan ming Gao Qing Xu Jianqiang wang State Key Laboratory of Intelligent Green Vehicle and Mobility School of Vehicle and MobilityTsinghua UniversityBeijing 100084China

In autonomous driving,target tracking is essential to environmental *** study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle’s perception,which is of great significance in ensuring the safety of autonomous driving and promoting the landing of technical *** study focuses on the fusion tracking algorithm based on visible and infrared *** proposed approach utilizes a feature-level image fusion method,dividing the tracking process into two components:image fusion and target *** unsupervised network,Visible and Infrared image Fusion Network(VIF-net),is employed for visible and infrared image fusion in the image fusion *** the target tracking part,Siamese Region Proposal Network(SiamRPN),based on deep learning,tracks the target with fused *** fusion tracking algorithm is trained and evaluated on the visible infrared image dataset *** results demonstrate that the algorithm outperforms training networks solely based on visible images,proving that the fusion of visible and infrared images in the target tracking algorithm can improve the accuracy of the target tracking even if it is like tracking-based visual *** improvement is also attributed to the algorithm’s ability to extract infrared image features,augmenting the target tracking accuracy.

关键词： target tracking image fusion infrared image deep learning autonomous driving

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Energy management strategy for hybrid electric vehicle integrated with waste heat recovery system based on deep reinforcement learning

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Science China(Technological Sciences) 2022年第3期65卷 713-725页

作者： wang xuan wang Rui SHU GeQun TIAN Hua ZHANG xuanAng State Key Laboratory of Engines Tianjin UniversityTianjin 300072China

Hybrid electric vehicles(HEVs)are acknowledged to be an effective way to improve the efficiency of internal combustion engines(ICEs)and reduce fuel *** the ICE in an HEV can maintain high efficiency during driving,its thermal efficiency is approximately 40%,and the rest of the fuel energy is discharged through different kinds of waste ***,it is important to recover the engine waste *** of the great waste heat recovery performance of the organic Rankine cycle(ORC),an HEV integrated with an ORC(HEV-ORC)has been ***,the addition of ORC creates a stiff and multi-energy problem,greatly increasing the complexity of the energy management system(EMS).Considering the great potential of deep reinforcement learning(DRL)for solving complex control problems,this work proposes a DRL-based EMS for an *** simulation results demonstrate that the DRL-based EMS can save 2%more fuel energy than the rule-based EMS because the former provides higher average efficiencies for both engine and motor,as well as more stable ORC power and battery ***,the battery always has sufficient capacity to store the ORC ***,DRL showed great potential for solving complex energy management problems.

关键词： hybrid electric vehicles organic Rankine cycle waste heat recovery deep reinforcement learning energy management system

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High-entropy FeNiCoCr alloys with improved mechanical and tribological properties by tailoring composition and controlling oxidation

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Journal of Materials Science & Technology 2021年第23期82卷 207-213页

作者： Jie Xu xuan Kong minghui Chen Qunchang wang Fuhui wang Shenyang National Laboratory for Materials Science Northeastern UniversityShenyang110819China

Many metal matrix self-lubricating composites possess excellent comprehensive properties of high strength and wear resistance after incorporating various lubricants that usually belong to ceramic ***,this improvement is always obtained at the cost of notable decrease in *** order to break through this toughness-tribological properties trade-off,self-lubricating composite alloys based on the matrix of Fe NiCoCr_(0.5) high entropy alloy(HEA)were prepared by milling addition of element Co or Cr and then spark plasma sintering(SPS).Co or Cr is added into the base HEA with the aim of tailoring oxidation behavior,mechanical properties as well as tribological *** no ceramic lubricants are used,the alloy composites remain high *** or Cr element addition leads to the precipitation of a hard phase of a-Cr and grain refinement,both of which contribute to the increase of mechanical *** sliding,oxidation of Fe and Ni is ***,the oxides of cobalt and chromium are formed upon the Co-and Cr-modified HEAs,*** oxidation products,especially the oxides of cobalt that are easy to be sintered on sliding,are in favor of the formation of a lubricating glaze layer at 400℃on the worn surface,and thus the decrease in friction coefficient and wear rate,which are 0.33 and 4.0×10^(-5) mm^(3)/(N m),respectively.

关键词： High entropy alloys Oxidation behavior Self-lubricating composite Cobalt oxide

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Nanomechanical and Chemical Mapping of the Structure and Interfacial Properties in Immiscible Ternary Polymer Systems

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Chinese Journal of Polymer Science 2021年第6期39卷 651-658,I0004页

作者： Hao-xuan Li Thomas PRussell Dong wang State Key Laboratory of Organic-Inorganic Composites&Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China Polymer Science and Engineering Department University of Massachusetts AmherstMassachusetts 01003United States Materials Sciences Division Lawrence Berkeley National Laboratory1 Cyclotron RoadBerkeleyCalifornia 94720United States

It is a challenge to identify each phase in a multi-component polymer system and uniquely determine the interfacial properties between the different *** atomic force microscopy nanomechanical mapping(AFM-NM)and AFM-based infrared spectroscopy(AFM-IR),we identify each phase,visualize structural developments,and determine the interfacial properties in a blend of three polymers:high-density polyethylene(HDPE),polyamide(PA6)and poly(styrene-b-ethylene-co-butylene-b-styrene)(SEBS).Each phase can be identified from the Young’s modulus,along with the structural development within the phases before and after *** interfacial widths between HDPE/PA6,HDPE/SEBS and SEBS/PA6 were determined independently in one measurement from a Young’s modulus *** structural,mechanical property development and identity of the phases were determined by AFM-NM,while AFM-IR,providing complementary chemical information,identified interfacial reactions,showed the chemical affinity of a compatibilizer with the component phases,and mapped the distribution of the compatibilizer in the ternary polymer *** chemical,structural and interfacial information obtained by these measurements provide information that is essential for producing mechanically robust materials from incompatible mixtures of polymers.

关键词： AFM nanomechanical mapping AFM infrared spectroscopy Multi-component systems Interfacial structure Interfacial properties

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Crashworthiness analysis of a cylindrical auxetic structure under axial impact loading

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Science China(Technological Sciences) 2020年第1期63卷 140-154页

作者： GAO Qiang ZHAO xuan wang ChenZhi wang LiangMo MA ZhengDong School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China Department of Mechanical Engineering College of EngineeringUniversity of MichiganAnn Arbor MI 48109USA School of Automobile Chang'an UniversityXi'an 710061China Roush Industries 28200 Plymouth RdLivonia MI 48152USA

Structures with negative Poisson’s ratio(NPR) have been widely used in engineering application due to its unusual properties. In this paper, crashworthiness of a novel cylindrical auxetic structure under axial impact loading is investigated by the numerical methods. The software LS-DYNA is adopted to analyze the effects of the geometry parameters on the force, energy absorption(EA) and specific energy absorption(SEA). It is found that an overlarge number of layers and cells will make NPR structure extend outward from the mid;NPR structures with small number of layers and cells will make some layers of structures rotate in final crushing state. If the thickness of the long-inclined bean(L-beam) is larger than that of short-inclined beam(S-beam), there will be a smoother transition from the lower to a higher value in crushing force. Conversely, the force will maintain a relatively steady value, which determined by the sum of the thickness of L-and S-beams. In addition, there is also a critical inner circle radius which distinguishes different deformation modes. Once the critical inner circle radius is smaller than the critical value,NPR structures tend to deform unsteadily.

关键词： negative Poisson's ratio crashworthiness parametric analysis axial impact

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Understanding the Temperature Effect on Carbon-Carbon Coupling during CO_(2)and CO Electroreduction in Zero-Gap Electrolyzers

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Chinese Journal of Chemistry 2024年第22期42卷 2705-2711页

作者： Mengjiao Zhuansun xuan wang Wenzhi Teng Yuhang wang Institute of Functional Nano&Soft Materials(FUNSOM) Soochow University199 Ren'ai RoadSuzhouJiangsu 215123China Jiangsu Key Laboratory for Advanced Negative Carbon Technologies Soochow University199 Ren'ai RoadSuzhouJiangsu215123China

Comprehensive Summary Cu-catalyzed electrochemical CO_(2)reduction reaction(CO_(2)RR)and CO reduction reaction(CORR)are of great interest due to their potential to produce carbon-neutral and value-added multicarbon(C2+)*** practice,CO_(2)RR and CORR are typically operated at industrially relevant current densities,making the process *** the increased operation temperature is known to affect the performance of CO_(2)RR and CORR,the relationship between temperatures and kinetic parameters was not clearly elaborated,particularly in zero-gap *** this study,we detail the effect of the temperature on Cu-catalyzed CO_(2)RR and *** electrochemical and operando spectroscopic studies show that high temperatures increase the activity of CO_(2)RR to CO and CORR to C2H4 by enhancing the mass transfer of CO_(2)and *** the rates of these two processes are highly influenced by reactant diffusion,elevating the operating temperature results in high local CO_(2)and CO availability to accelerate product ***,the*CO coverage in both cases increases at higher ***,under CO_(2)RR conditions,*CO desorption is more favorable than carbon-carbon(C—C)coupling thermodynamically at high temperatures,causing the reduction in the Faradaic efficiency(FE)of C_(2)H_(4).In CORR,the high-temperature-augmented CO diffusion overcomes the unfavorable adsorption thermodynamics,increasing the probability of C—C coupling.

关键词： Zero-gap electrolyzers CO_(2)and CO reduction Temperature effect Selectivity C-C coupling Adsorption

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