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Polarization-entangled photon pairs with factorable spectra engineered by using an uneven four-stage nonlinear interferometer

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Chinese Optics Letters 2024年第5期22卷 106-110页

作者：崔亮陈浩然李嘉敏李小英 College of Precision Instrument and Opto-Electronics Engineering Key Laboratory of Opto-Electronics Information TechnologyMinistry of EducationTianjin UniversityTianjin 300072China School of Physics Taiyuan University of TechnologyTaiyuan 030000China

We report the generation of polarization-entangled photon pairs in the 1550 nm band by pumping an uneven nonlinear interferometer loop with two orthogonally polarized counterpropagating pump *** uneven nonlinear interferometer,providing a more ideal interference pattern due to the elimination of secondary maxima,consists of four pieces of dispersion-shifted fibers sandwiched with three pieces of standard single-mode fibers,and the lengths of the nonlinear fibers follow the binomial *** mode number of the photon pairs deduced from the measured joint spectrum is∼*** collection efficiency of the photon pairs is found to be∼94%(after background noise correction).The directly measured visibility of two-photon interference of the polarization-entangled photon pairs is∼92%,while no interference is observed in the direct detection of either the signal or idler photons.

关键词： polarization-entangled photon pairs nonlinear interferometer quantum state engineering optical fiber

Flame-assisted ultrafast synthesis of functionalized carbon nanosheets for high-performance sodium storage

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Carbon Energy 2024年第7期6卷 123-133页

作者： Chen Chen Dong Yan Yew Von lim Lei liu Xue liang li Junjie Chen Tian Chen li Youyu Zhu Jiangtao Cai Ying Huang Yating Zhang Hui Ying Yang School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi'anChina Pillar of Engineering Product Development Singapore University of Technology and DesignSingaporeSingapore School of Electrical Engineering Xi'an University of TechnologyXi'anChina International Joint Laboratory of New Energy Materials and Devices of Henan Province School of Physics and ElectronicsHenan UniversityKaifengChina College of Chemistry and Chemical Engineering Xi'an University of Science and TechnologyXi'anChina

The unique structural features of hard carbon(HC)make it a promising anode candidate for sodium-ion batteries(SIB).However,traditional methods of preparing HC require special equipment,long reaction times,and large energy consumption,resulting in low throughputs and *** our contribution,a novel synthesis method is proposed,involving the formation of HC nanosheets(NS-CNs)within minutes by creating an anoxic environment through flame combustion and further introducing sulfur and nitrogen sources to achieve heteroatom *** effect of heterogeneous element doping on the microstructure of HC is quantitatively analyzed by high-resolution transmission electron microscopy and image processing *** with density functional theory calculation,it is verified that the functionalized HC exhibits stronger Na^(+)adsorption ability,electron gain ability,and Na^(+)migration *** a result,NS-CNs as SIB anodes provide an ultrahigh reversible capacity of 542.7mAh g^(-1) at 0.1Ag^(-1),and excellent rate performance with a reversible capacity of 236.4mAh g^(-1) at 2Ag^(-1) after 1200 ***,full cell assembled with NS-CNs as the can present 230mAh g^(-1) at 0.5Ag^(-1) after 150 ***,in/ex situ techniques confirm that the excellent sodium storage properties of NS-CNs are due to the construction of abundant active sites based on the novel synthesis method for realizing the reversible adsorption of Na^(+).This work provides a novel strategy to develop novel carbons and gives deep insights for the further investigation of facile preparation methods to develop high-performance carbon anodes for alkali-ion batteries.

关键词： carbon nanosheets heteroatom doping sodium-ion battery sustainable materials

Advances in grain-boundary diffusion for high-performance permanent magnets

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Materials Futures 2024年第4期3卷 41-70页

作者： Prajna Paramita Mohapatra Guomeng li Perumal Alagarsamy Xiandong Xu College of Materials Science and Engineering Hunan UniversityChangsha 410082People’s Republic of China Department of Physics Indian Institute of Technology GuwahatiGuwahati 781039India

High-performance permanent magnets play an indispensable role in manufacturing highly efficient motors and generators,ultimately contributing to the sustainability of our *** high coercivity(µ0Hc)in hard magnetic materials at or above room temperature without relying on heavy rare-earth elements remains a *** strategies for augmentingµ0Hc utilizing low-cost materials involve inter-granular addition and the grain-boundary diffusion(GBD)*** review provides a comprehensive overview of selected techniques for developing grain-boundary(GB)modification through a specific focus on the reduction of using heavy rare earth(HRE)elements and utilizing cost-effective non-rare earth and light rare earth(LRE)sources for *** date,the successful application of HRE based metals and compounds,and LRE based alloys as diffusion sources has significantly contributed toµ0Hc *** upon global advancements and findings from various research groups,this comprehensive review offers a critical analysis of the fundamentals and progress in GBD processes(GBDPs).Considering the different types of permanent magnets,the GBDPs,based on the diverse diffusion sources and diffusion processes,are thoroughly compared and *** encapsulates the current state of knowledge in the field,providing valuable insights into the ongoing developments in GB modification to improve permanent magnet performance.

关键词： rare earth metal grain-boundary diffusion processes NdFeB magnets coercivity

Ground target localization of unmanned aerial vehicle based on scene matching

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High Technology Letters 2024年第3期30卷 231-243页

作者： ZHANG Yan CHEN Yukun HUANG He TANG Simi li Zhi Beijing Yansou Technology Co. Ltd.Beijing 100085P.R.China The 15th Research Institute of China Electronics Technology Group Corporation Beijing 100083P.R.China

In order to improve target localization precision,accuracy,execution efficiency,and application range of the unmanned aerial vehicle(UAV)based on scene matching,a ground target localization method for unmanned aerial vehicle based on scene matching(GTLUAVSM)is *** sugges-ted approach entails completing scene matching through a feature matching ***,multi-sensor registration is optimized by robust estimation based on homologous ***,basemap generation and model solution are utilized to improve basemap correspondence and accom-plish aerial image *** evidence and experimental verification demonstrate that GTLUAVSM can improve localization accuracy,speed,and precision while minimizing reliance on task equipment.

关键词： scene matching basemap adjustment feature registration random sample con-sensus(RANSAC) unmanned aerial vehicle(UAV)

Quantifying Inter-regional Trade Inequality of China's Cities Based on Environmental-economic Benefits in Virtual Built-up Land Flow

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China & World Economy 2024年第5期32卷 226-246页

作者： Pengfei Wang Hongbo li Zhenbin Huang College of Public Administration Huazhong Agricultural UniversityChina

The development of spatial interactions of land resources enhances virtual built-up land flow,which contributes to China's inter-regional trade *** is known about the degree of inequality among *** work seeks to estimate the degree of inter-regional trade inequality through environmental-economic *** combined a multiregional input-output model at the city level with a new classification to calculate the virtual built-up land flow among cities and analyzed its implications for the regional economy and carbon *** results indicate that developed regions were the main beneficiaries of inter-regional trade,as reflected in land-use ***'s economic hub has been progressively shifting southward,and the inter-regional trade inequality has continuously *** flow of virtual service industry land among developed regions rose,while underdeveloped regions remained suppliers of raw materials,further increasing inter-regional trade inequality.

关键词： built-up land carbon neutrality multiregional input-output model trade inequality

Insights of carbon reduction practices from Winter Olympics 2022

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Science Bulletin 2024年第13期69卷 2034-2037页

作者： Xiaoyong liao Shuai Zhong Jie Huang Zhu liu Ayman Elshkaki You li Lei Shen Yingli He li An Yidong Zhu Wenhao Sun Tao liang Jiaoe Wang Jinwei Dong Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory for Resources Use and Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Regional Sustainable Development Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Department of Earth System Science Tsinghua UniversityBeijing 100084China

Concerns about the carbon emissions of mega-events revolve,mainly due to the impactful demonstration effects they ***,accurate monitoring of these emissions is crucial during such events[1].The Olympic and Paralympic Winter Games Beijing 2022(hereinafter“Winter Olympics 2022”)are recognized as the first Games to pay close attention to a wide range of emissions associated with all stages of the *** of emerging carbon reduction technologies,such as low-carbon materials and technologies,have shown promising effects on efforts to achieve carbon neutrality[2].The impacts of individual measures,such as Olympic infrastructure construction.

关键词： Winter emissions carbon

Development of Machine Learning Methods for Accurate Prediction of Plant Disease Resistance

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Engineering 2024年第9期40卷 100-110页

作者： Qi liu Shi-min Zuo Shasha Peng Hao Zhang Ye Peng Wei li Yehui Xiong Runmao lin Zhiming Feng Huihui li Jun Yang Guo-liang Wang Houxiang Kang State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193China Zhongshan Biological Breeding Laboratory&Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding Agricultural College of Yangzhou UniversityYangzhou 225009China Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization and College of Agronomy Hunan Agricultural UniversityChangsha 410128China State Key Laboratory of Crop Gene Resources and Breeding Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China College of Plant Protection Hunan Agricultural UniversityChangsha 410128China Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests Ministry of Education College of Plant ProtectionHainan UniversityHaikou 570228China MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests Department of Plant BiosecurityCollege of Plant ProtectionChina Agricultural UniversityBeijing 100193China Department of Plant Pathology Ohio State UniversityColumbusOH 43210USA

The traditional method of screening plants for disease resistance phenotype is both time-consuming and *** selection offers a potential solution to improve efficiency,but accurately predicting plant disease resistance remains a *** this study,we evaluated eight different machine learning(ML)methods,including random forest classification(RFC),support vector classifier(SVC),light gradient boosting machine(lightGBM),random forest classification plus kinship(RFC_K),support vector classification plus kinship(SVC_K),light gradient boosting machine plus kinship(lightGBM_K),deep neural network genomic prediction(DNNGP),and densely connected convolutional networks(DenseNet),for predicting plant disease *** results demonstrate that the three plus kinship(K)methods developed in this study achieved high prediction ***,these methods achieved accuracies of up to 95%for rice blast(RB),85%for rice black-streaked dwarf virus(RBSDV),and 85%for rice sheath blight(RSB)when trained and applied to the rice diversity panel I(RDPI).Furthermore,the plus K models performed well in predicting wheat blast(WB)and wheat stripe rust(WSR)diseases,with mean accuracies of up to 90%and 93%,*** assess the generalizability of our models,we applied the trained plus K methods to predict RB disease resistance in an independent population,rice diversity panel II(RDPII).Concurrently,we evaluated the RB resistance of RDPII cultivars using spray *** the predictions with the spray inoculation results,we found that the accuracy of the plus K methods reached 91%.These findings highlight the effectiveness of the plus K methods(RFC_K,SVC_K,and lightGBM_K)in accurately predicting plant disease resistance for RB,RBSDV,RSB,WB,and *** methods developed in this study not only provide valuable strategies for predicting disease resistance,but also pave the way for using machine learning to streamline genome-based crop breeding.

关键词： Predicting plant disease resistance Genomic selection Machine learning Genome-wide association study

Targeting both ferroptosis and pyroptosis may represent potential therapies for acute liver failure

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World Journal of Gastroenterology 2024年第33期30卷 3791-3798页

作者： Zhong-Yuan Xing Chuan-Jie Zhang li-Juan liu Department of Medical Microbiology School of Basic Medical SciencesWuhan UniversityWuhan 430071Hubei ProvinceChina Department of Children Health Care Wuhan Children’s Hospital(Wuhan Maternal and Child Healthcare Hospital)Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430061Hubei ProvinceChina

In this editorial,we comment on the article published in the recent issue of the World Journal of *** liver failure(ALF)is a fatal disease that causes uncontrolled massive hepatocyte death and rapid loss of liver *** and pyroptosis,cell death forms that can be initiated or blocked concurrently,can play significant roles in developing inflammation and various ***,their roles in ALF remain *** article discovered the positive feedback between ferroptosis and pyroptosis in the progression of ALF,and revealed that the silent information regulator sirtuin 1(SIRT1)inhibits both pathways through p53,dramatically reducing inflammation and protecting *** suggests the potential use of SIRT1 and its downstream molecules as therapeutics for ***,we will discuss the role of ferroptosis and pyroptosis in ALF and the crosstalk between these cell death ***,we address potential treatments that could alleviate ALF by simultaneously inhibiting both cell death pathways,as well as examples of SIRT1 activators being used as disease treatment strategies,providing new insights into the therapy of ALF.

关键词： Acute liver failure Ferroptosis Pyroptosis Crosstalk Silent information regulator sirtuin 1 P53 Glutathione peroxidase 4 Gasdermin D Treatment

植物源天然产物AHO对烟草花叶病毒的田间防效

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中国植保导刊 2013年第4期33卷 45-48页

作者：陈永对刘春明李宏光董家红郑雪杨振兴张仲凯云南省农业科学院生物技术与种质资源研究所/云南省农业生物技术重点实验室云南昆明650223 云南省烟草公司红河州公司技术中心云南弥勒652300

选用植物源天然产物AHO(3-丙酮基-3-羟基羟吲哚)在烟草漂浮育苗苗期和大田期对烟草花叶病毒(TMV)进行了连续防控试验。结果表明:AHO在烟草苗期和大田期对TMV均有较好的防效,在大田期的平均防效达43.6%,优于其他3种作为对照的生物源农药。

关键词：烟草花叶病毒 AHO 防效