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Characteristics,evolution,and regional differences of biomass burning particles in the Sichuan Basin,China

Journal of Environmental Sciences 2020年第3期32卷 35-46页

作者： Jinqi luo Junke Zhang Xiaojuan Huang Qin Liu bin luo Wei Zhang Zhihan Rao Yangchun Yu Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengdu 611756China Plateau Atmosphere and Environment Key Laboratory of Sichuan Province School of Atmospheric SciencesChengdu University of Information TechnologyChengdu 610225China Sichuan Environmental Monitoring Center Chengdu 610074China Shandong Academy for Environmental Planning Jinan 250101China

The Sichuan Basin has experienced serious air pollution from fine particulate matter(PM2.5) in the past few years with biomass burning has been identified as a major source of PM2.5 in this *** used single particle aerosol mass spectrometer to investigate the characteristics of biomass burning particles in three interacting cities representing different types of urban environment in the Sichuan Basin.A total of 739,794,279,610,and380,636 biomass burning particles were detected at Ya’an,Guang’an,and Chengdu,which represented 42%,69%,and 61%,respectively,of the total number of *** analyzed the chemical composition,transportation,and evolution of biomass burning *** contribution of K-elemental carbon and K-secondary inorganic particles was highest in Ya’an(36%) and Guang’an(47%),respectively,reflecting the important role of fresh biomass burning particles and long-distance transport in these two *** masses originating from different directions corresponded to different levels of PM2.5 and the contributions of polluted clusters increased significantly on polluted *** and secondary inorganic biomass burning particles increased pollution at Ya’an and Guang’an,respectively,but dominated different stages of pollution in Chengdu.K-nitrate particles were formed by photochemical reactions,whereas K-sulfate particles were formed by both photochemical and liquid-phase *** of the degree of particle aging showed that there were more fresh particles at Ya’an and more aged particles at Guang’*** results are useful in helping our understanding of the characteristics of biomass burning particles and evaluating their role in PM2.5 pollution in the Sichuan Basin.

关键词： Single particles Biomass burning particles Evolution Regional differences Sichuan basin

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基于流体振荡器阵列的S型流道主动控制实验研究

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推进技术 2024年第9期45卷 60-70页

作者：王士奇邵冬罗斌贾志刚陆华伟孔晓治中国航空发动机集团有限公司中国航空发动机研究院北京101304 大连海事大学船舶与海洋工程学院辽宁大连116026

本文针对一个典型的大折转角、大尺度S弯流道,设计并制造了一个由16个流体振荡器组成的大型阵列,并对S弯内部流动进行了主动控制实验研究。首先采用高频响热线风速仪、高精度质量流量计等手段测量了流体振荡器的频率、速度、流量等随进... 详细信息

本文针对一个典型的大折转角、大尺度S弯流道,设计并制造了一个由16个流体振荡器组成的大型阵列,并对S弯内部流动进行了主动控制实验研究。首先采用高频响热线风速仪、高精度质量流量计等手段测量了流体振荡器的频率、速度、流量等随进口压力的响应变化规律及其在大型阵列中的工作特性一致性。其次采用壁面压力采集、五孔探针等手段测量了不同激励条件下,S弯流道的壁面压力分布以及出口截面的总压分布情况。结果表明,所设计的脉冲型流体振荡器能够产生1 kHz以上,峰值速度高于300 m/s的高频高速振荡射流,且阵列中多个振荡器的流量、频率、振荡速度范围等工作特性保持了较好的一致性。流体振荡器阵列在S弯流道上壁面一弯前缘形成了一排开孔率仅为10%的脉冲射流孔,在与主流成45°射流角度、进口马赫数Ma=0.15,激励速度比uR=4.31条件下,仅使用激励质量流量比Cm=0.39%的激励质量流量,就使S弯流道的出口平均总压损失改善了10.6%。本研究验证了流体振荡器阵列控制大尺寸分离流动的高效能力。

关键词： S型流道流体振荡器阵列脉冲射流主动流动控制非定常激励器

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电弧增材制造纳米TiC颗粒增强铝基复合材料组织与性能研究

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航空制造技术 2024年第10期67卷 115-121,130页

作者：吕奇钊周祥曼罗彬李波吴海华张海鸥三峡大学机械与动力学院宜昌443002 华中科技大学机械科学与工程学院武汉430074

在金属材料中引入第二相粒子是提高金属材料力学性能的重要手段之一。本文提出一种Al6061铝箔包裹TiC和Al6061的混合粉末形成一种特殊填料焊丝的TiC/Al6061复合材料电弧增材制造的新方法,并分别研究质量分数为1%、2%和3%的TiC颗粒对制... 详细信息

在金属材料中引入第二相粒子是提高金属材料力学性能的重要手段之一。本文提出一种Al6061铝箔包裹TiC和Al6061的混合粉末形成一种特殊填料焊丝的TiC/Al6061复合材料电弧增材制造的新方法,并分别研究质量分数为1%、2%和3%的TiC颗粒对制备的铝基复合材料组织与性能的影响。结果表明,TiC质量分数为3%的复合材料与基体材料相比,试样的平均晶粒尺寸由45.5μm减小到25.3μm,细化了44.4%;抗拉强度和屈服强度由148.5 MPa和118.0 MPa提升到178.1 MPa和157.3 MPa,分别提升了19.9%和33.3%;平均显微硬度由50.5HV增加至65.2HV,提升了29.1%。理论结合及试验分析表明,TiC的载荷传递强化和晶粒细化以及Orowan强化机制,是材料力学性能提高的主要原因。

关键词：电弧增材制造铝基复合材料(AMCs) TiC 微观组织力学性能

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The role of functional materials to produce high areal capacity lithium sulfur battery

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Journal of Energy Chemistry 2020年第3期29卷 195-209页

作者： Masud Rana bin luo Mohammad Rejaul Kaiser Ian Gentle Ruth Knibbe Materials Engineering School of Mechanical and Mining EngineeringUniversity of QueenslandSt LuciaQLD 4072Australia Nanomaterials Centre School of Chemical Engineering and Australian Institute for Bioengineering and NanotechnologyThe University of Queensland QLDSt Lucia 4072Australia School of Chemistry and Molecular Biosciences Faculty of ScienceThe University of QueenslandSt LuciaQLD 4072Australia Commonwealth Scientific and Industrial Research Organization(CSIRO) Manufacturing Business Unit36 Bradfield RoadLindfieldNSW 2070Australia

The lithium sulfur batteries(LSBs) are considered as one of the promising next generation energy storage devices due to the high theoretical specific capacity of sulfur(1675 m Ah g-1), naturally available, low ***, the practical LSBs are impeded by the well-known "shuttle effect" combined with other technical drawbacks. The "shuttle effect" causes rapid capacity decay, severe self-discharging and low active material utilization. The polysulfide(PS) which has lone pair electrons in each sulfur atom is considered as Lewis base and shows strong affinity to various polar, Lewis acid and catenation interactive materials but very weakly interacts with the non-polar conductive carbons. The "shuttle effect" occurs due to the diffusion of high order PS from the cathode to the anode and then low-order PS back to the cathode. The PS is polar and, due to a lone pair of electrons associated with the sulfur atom, is considered a Lewis base. As such, the PS shows a strong affinity with various polar and Lewis acid materials. In addition, a more novel trapping can be performance through a catenation reaction. For LSBs to compete with the state-of-the-art lithium ion batteries(LIBs), the LSB areal capacity need to be ~6 m Ah cm-2(which is proportional to sulfur loading). To achieve this target the PS shuttling needs to mitigate, which can be achieved through using functional materials. This review addresses the aforementioned phenomena by considering the PS phase interacts with the various functional materials and how this impacts areal capacity and cycling stability of LSBs.

关键词： Sulfur loading Specific capacity Areal capacity Polysulfides Chemical interaction

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Comprehensive analysis of CBM recovery in high rank coal reservoir of Jincheng area

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International Journal of Mining Science and Technology 2013年第3期23卷 447-452页

作者： Liu Aihua Fu Xuehai luo bin luo Peipei Jiao Chunlin School of Resources and Geoscience China University of Mining & Technology Key Laboratory of CBM Resource and Reservoir-Generating Process Ministry of Education College of Geology and Exploration Engineering Xinjiang University Coal Geological Designing Institute of Jiangsu Province

Coalbed methane (CBM) predicting recovery in high rank coal reservoir varies greatly in Jincheng area and it seriously influences efficient and economic exploitation of CBM resource. In order to predict more accurate CBM recovery, we conducted history matching and productivity prediction of vertical well by using COMET 3 reservoir modeling software, innovatively adopted the gas desorption experiment of bulk coal at fixed test pressure, analyzed the recovery extent method of Daning multiple-hole horizontal well and Panzhuang well group, and calculated recovery by sorption isotherm method of 14 vertical CBM wells at the abandonment pressures 1.0, 0.7, 0.5 and 0.3 MPa, respectively. The results show that the reservoir simulation methods (numerical simulation method and the recovery extent method) is more reliable than the theoretical analysis of coal sample (sorption isotherm method and desorption experiment method). Also, desorption experiment method at fixed pressure is superior to sorption isotherm method. Through the comprehensive analysis and linear correction, CBM recovery ratios in high rank coal reservoir of Jincheng area were found to be 38.64%, 49.30%, 59.30%, and 69.20% at the abandonment pressures 1.0, 0.7, 0.5 and 0.3 MPa, respectively. The research results are of significant importance in the CBM exploration and development in Jincheng area.

关键词： Abandoned wells Adsorption isotherms Coal Coal deposits Desorption Experiments Forecasting Horizontal wells Petroleum reservoirs Recovery Software testing

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添加脲酶/硝化抑制剂条件下基于^(15)N示踪的夏玉米当季肥料氮去向研究

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植物营养与肥料学报 2024年第6期30卷 1092-1102页

作者：辛苏宁王磊卢艳丽白由路王玉红江晗王洛斌北方干旱半干旱耕地高效利用全国重点实验室/农业农村部植物营养与肥料重点实验室/中国农业科学院农业资源与农业区划研究所北京100081

【目的】以华北平原夏玉米为研究对象,利用高丰度15N同位素示踪方法,探究添加脲酶/硝化抑制剂条件下肥料氮的去向。【方法】于2022−06−25至2022−10−09在河北省廊坊市进行试验。设置5个处理:不施氮肥对照(CK)、单施尿素(U)、尿素+脲酶抑... 详细信息

【目的】以华北平原夏玉米为研究对象,利用高丰度15N同位素示踪方法,探究添加脲酶/硝化抑制剂条件下肥料氮的去向。【方法】于2022−06−25至2022−10−09在河北省廊坊市进行试验。设置5个处理:不施氮肥对照(CK)、单施尿素(U)、尿素+脲酶抑制剂(UI)、尿素+硝化抑制剂(NI)、尿素+脲酶抑制剂+硝化抑制剂(UI+NI),测定了氮素吸收量,监测了累积NH3挥发和N_(2)O排放量,并计算了肥料氮的气态损失量和土壤氮肥残留量。【结果】与单施尿素处理相比,3个添加抑制剂处理UI、NI和UI+NI的地上部吸氮量分别显著提高了39.7%、33.1%和41.8%,氮肥利用率分别显著提高12.5、6.8和12.3个百分点,UI和UI+NI的提升效果显著高于NI。与U和NI相比,UI处理的土壤中肥料氮残留量分别提高了35.6%和27.9%,UI+NI分别提高了45.7%和37.4%。与U处理相比,NI处理的NH3挥发累积量无显著差异,而UI和UI+NI处理土壤的NH3挥发累积量分别显著减少了14.3%和11.6%;UI、NI和UI+NI处理土壤的N_(2)O累积排放量分别显著降低了17.2%、19.9%和34.5%,UI+NI处理土壤的N_(2)O累积排放量又比UI和NI处理分别显著降低了20.9%和18.2%。【结论】尿素配合脲酶/硝化抑制剂施用显著提高了夏玉米的氮素吸收量,添加脲酶抑制剂显著提高了土壤中肥料氮残留量,减少了累积NH3挥发量和N_(2)O累积排放量,而添加硝化抑制剂增加土壤中肥料氮的残留量和减少NH3挥发的效果不显著,但降低了N_(2)O累积排放量。同时配施脲酶抑制剂和硝化抑制剂处理增加了土壤中肥料氮的残留量,降低NH3挥发量和N_(2)O累积排放量的效果显著优于配施一种抑制剂,肥料氮的损失率降至3.7%。因此,在华北平原典型潮土区,夏玉米生产中推荐尿素同时配施脲酶抑制剂和硝化抑制剂,以减少肥料氮的气态损失,提高氮肥当季利用率。

关键词：夏玉米高丰度15N尿素脲酶抑制剂硝化抑制剂氮肥当季吸收量土壤残留率气态损失肥料氮当季损失率

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基于多模态双向信息增强的RGBT跟踪网络

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北京航空航天大学学报 2024年第2期50卷 596-605页

作者：赵伟刘磊王鲲鹏涂铮铮罗斌多模态认知计算安徽省重点实验室合肥230601 安徽大学计算机科学与技术学院合肥230601

可见光-热红外(RGBT)目标跟踪旨在挖掘可见光和热红外数据的互补优势,实现鲁棒的目标跟踪。目前主流方法通常引入模态权重来实现多模态信息融合,但简单地为各个模态分配权重无法充分挖掘可见光和热红外模态的互补优势。基于此,提出了一... 详细信息

可见光-热红外(RGBT)目标跟踪旨在挖掘可见光和热红外数据的互补优势,实现鲁棒的目标跟踪。目前主流方法通常引入模态权重来实现多模态信息融合,但简单地为各个模态分配权重无法充分挖掘可见光和热红外模态的互补优势。基于此,提出了一种多模态双向信息增强的RGBT跟踪网络(MBIENet)。设计了一种特征聚合模块,用于聚合模态共享特征和模态特定特征以建模目标外观信息;提出了一种新的多模态双向调制融合模块,可有效融合模态互补信息,减少冗余特征和无用特征对跟踪器的影响;提出了一个轻量化的通道空间注意力模块,可自适应调整不同环境下不同模态的贡献。在GTOT、RGBT234和LasHeR数据集上的实验结果表明:所提跟踪算法的准确率和成功率优于当前主流的跟踪算法。

关键词：可见光-热红外目标跟踪深度学习多模态信息融合多模态信息交互

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Noble-metal-free MoS2/Ta3N5 heterostructure photocatalyst for hydrogen generation

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Progress in Natural Science:Materials International 2018年第2期28卷 189-193页

作者： Mu Xiao bin luo Supphasin Thaweesak Lianzhou Wang Nanomaterials Centre School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnology the University of Queensland

A noble-metal-free heterostructure composed of Ta3N5nanosheets and MoS2co-catalyst was developed as an efficient photocatalyst for hydrogen production. In special, the MoS2/Ta3N5heterostructure with 5.2 wt% of MoS2exhibits a H2generation rate of 119.4 μmol h-1g-1, which is comparable to that of Ta3N5nanosheets with Pt as co-catalyst. The efficient H2 generation for MoS2/Ta3N5 heterostructure is resulted from the short diffusion distance of photo-excited charge carriers in Ta3 N5 nanosheets, efficient transfer of electrons from Ta3 N5 nanosheets to MoS2surface, and reduced overpotential for water reduction. Furthermore, the stability of the MoS2/Ta3N5heterostructured photocatalysts are evaluated for the photocatalytic H2generation.

关键词： MoS2 Ta3N5 nanosheets Heterostructure Photocatalysis Hydrogen evolution

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Editorial of Special Column “Research on Emerging COVID-19(Target, Mechanism, and Therapeutics)”

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Acta Pharmaceutica Sinica B 2020年第7期10卷 1146-1148页

作者： Hai-bin luo Shilin Chen Peiqing Liu School of Pharmaceutical Sciences Sun Yat-sen UniversityGuangzhou 510006China Institute of Chinese Materia Medica China Academy of Chinese Medical SciencesBeijing 100700China Laboratory of Pharmacology&Toxicology and New Drug R&D Center School of Pharmaceutical SciencesSun Yat-Sen UniversityGuangzhou 510006China

Coronavirus disease 2019(COVID-19)pandemic caused by severe acute respiratory syndrome coronavirus 2(SARS-Co V-2)has become a global crisis1,*** from SARS-Co V-2 can result in severe lymphopenia,prolonged coagulation profiles,lethal acute respiratory distress syndrome(ARDS),watery diarrhea,cardiac disease,multiorgan dysfunction,and sudden death3,4.

关键词： acute respiratory distress

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Perspective of drug design with high-performance computing

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National Science Review 2021年第12期8卷 11-12页

作者： Zhe Li Hui Li Kunqian Yu Hai-bin luo Guangdong Provincial Key Laboratory of New Drug Design and Evaluation School of Pharmaceutical Sciences Sun Yat-Sen University State Key Laboratory of Drug Research Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology Shanghai Tech University Key Laboratory of Tropical Biological Resources of Ministry of Education School of Pharmaceutical Sciences Hainan University

In recent decades, the development of high-performance computing(HPC)continues to follow Moore’s law, with many computational methods in drug design experiencing a *** prediction, virtual screening,molecular dynamics simulations and protein folding are crucial applications of computational drug design to accelerate drug discovery(Fig. 1). Reliable prediction of the receptor/ligand binding affinities that determine the pharmacological effects of drugs is the most important application of HPC in drug discovery, and is the main focus of this Perspective.

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