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Finding the magnetopause location using soft X-ray observations and a statistical inverse method

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Earth and Planetary Physics 2024年第1期8卷 184-203页

作者： Gonzalo Cucho-Padin Hyunju Connor Jaewoong Jung Brian Walsh david G.Sibeck Space Weather Laboratory NASA Goddard Space Flight CenterGreenbeltMDUSA Department of Physics The Catholic University of AmericaWashingtonDCUSA Geospace Physics Laboratory NASA Goddard Space Flight CenterGreenbeltMDUSA Astronomy Department University of Maryland College ParkCollege ParkMDUSA Center for Space Physics Department of Mechanical EngineeringBoston UniversityBostonMAUSA

Variability in the location and shape of the dayside magnetopause is attributed to magnetic reconnection,a fundamental process that enables the transfer of mass,energy,and momentum from the solar wind into the *** spatial and temporal properties of the magnetopause,under varying solar and magnetospheric conditions,remain largely unknown because empirical studies using in-situ observations are challenging to *** wide field-of-view(FOV)imaging is the only means to simultaneously observe the spatial distribution of the plasma properties over the vast dayside magnetospheric region and,subsequently,quantify the energy transport from the interplanetary medium into the terrestrial *** upcoming missions,ESA/CAS SMILE and NASA’s LEXI will provide wide-field imagery of the dayside magnetosheath in soft X-rays,an emission generated by charge exchange interactions between high charge-state heavy ions of solar wind origin and exospheric neutral ***-cadence two-dimensional observations of the magnetosheath will allow the estimation of dynamic properties of its inner boundary,the magnetopause,and enable studies of its response to changes in the solar wind dynamic pressure and interplanetary magnetic field *** work introduces a statistically-based estimation approach based on inverse theory to estimate the spatial distribution of magnetosheath soft X-ray emissivities and,with this,identify the location of the magnetopause over the Sun−Earth *** do so,we simulate the magnetosheath structure using the MHD-based OpenGGCM model and generate synthetic soft X-ray images using LEXI’s orbit and attitude *** results show that 3-D estimations using the described statistically-based technique are robust against Poisson-distributed shot noise inherent to soft X-ray ***,our proposed methodology shows that the accuracy of both three-dimensional(3-D)estimation and the magnetopause standoff distance calculation hi

关键词： magnetopause soft X-ray tomography

Simulation of the SMILE Soft X-ray Imager response to a southward interplanetary magnetic field turning

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Earth and Planetary Physics 2024年第1期8卷 39-46页

作者： Andrey Samsonov Graziella Branduardi-Raymont Steven Sembay Andrew Read david Sibeck Lutz Rastaetter Mullard Space Science Laboratory University College LondonDorking RH56NTUK Leicester University Leicester LE17RHUK Goddard Space Flight Center National Aeronautics and Space AdministrationGreenbeltMD 20771USA

The Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)Soft X-ray Imager(SXI)will shine a spotlight on magnetopause dynamics during magnetic *** simulate an event with a southward interplanetary magnetic field turning and produce SXI count maps with a 5-minute integration *** making assumptions about the magnetopause shape,we find the magnetopause standoff distance from the count maps and compare it with the one obtained directly from the magnetohydrodynamic(MHD)*** root mean square deviations between the reconstructed and MHD standoff distances do not exceed 0.2 RE(Earth radius)and the maximal difference equals 0.24 RE during the 25-minute interval around the southward turning.

关键词： magnetopause magnetic reconnection solar wind charge exchange southward interplanetary magnetic field numerical modeling Solar wind Magnetosphere Ionosphere Link Explorer(SMILE) Soft X-ray Imager

Efficiency improvement by using metal–insulator‑semiconductor structure in InGaN/GaN micro‑light‑emitting diodes

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Frontiers of Optoelectronics 2024年第1期17卷 77-84页

作者： Jian Yin david Hwang Hossein Zamani Siboni Ehsanollah Fathi Reza Chaji Dayan Ban Department of Electrical and Computer Engineering Waterloo Institute NanotechnologyUniversity of WaterlooWaterlooON N2L 3G1Canada Vuereal InC. 440 Philip StreetUnit 100WaterlooON N2L 5R9Canada

InGaN/GaN micro-light-emitting diodes(micro-LEDs)with a metal–insulator-semiconductor(MIS)structure on the sidewall are proposed to improve *** this MIS structure,a sidewall electrode is deposited on the insulating layer-coated sidewall of the device mesa between a cathode on the bottom and an anode on the ***(EL)measurements of fabricated devices with a mesa diameter of 10μm show that the application of negative biases on the sidewall electrode can increase the device external quantum efficiency(EQE).In contrast,the application of positive biases can decrease the *** band structure analysis reveals that the EQE is impacted because the application of sidewall electric fields manipulates the local surface electron density along the mesa sidewall and thus controls surface Shockley–Read–Hall(SRH)*** suggested strategies,reducing insulator layer thickness and exploring alternative materials,can be implemented to further improve the EQE of MIS micro-LEDs in future fabrication.

关键词： Micro-LED GaN EQE improvement Micro-fabrication

Synthetic polymers:A review of applications in drilling fluids

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Petroleum Science 2024年第1期21卷 475-518页

作者： Shadfar Davoodi Mohammed Al-Shargabi david A.Wood Valeriy S.Rukavishnikov Konstantin M.Minaev School of Earth Sciences&Engineering Tomsk Polytechnic UniversityLenin AvenueTomskRussia DWA Energy Limited LincolnUnited Kingdom

With the growth of deep drilling and the complexity of the well profile,the requirements for a more complete and efficient exploitation of productive formations increase,which increases the risk of various ***,reagents based on modified natural polymers(which are naturally occurring compounds)and synthetic polymers(SPs)which are polymeric compounds created industrially,are widely used to prevent emerging complications in the drilling ***,compared to modified natural polymers,SPs form a family of high-molecular-weight compounds that are fully synthesized by undergoing chemical polymerization *** provide substantial flexibility in their ***,their size and chemical composition can be adjusted to provide properties for nearly all the functional objectives of drilling *** can be classified based on chemical ingredients,type of reaction,and their responses to ***,some of SPs,due to their structural characteristics,have a high cost,a poor temperature and salt resistance in drilling fluids,and degradation begins when the temperature reaches 130℃.These drawbacks prevent SP use in some medium and deep ***,this review addresses the historical development,the characteristics,manufacturing methods,classification,and the applications of SPs in drilling *** contributions of SPs as additives to drilling fluids to enhance rheology,filtrate generation,carrying of cuttings,fluid lubricity,and clay/shale stability are explained in *** mechanisms,impacts,and advances achieved when SPs are added to drilling fluids are also *** typical challenges encountered by SPs when deployed in drilling fluids and their advantages and drawbacks are also *** issues also impact the applications of SPs in drilling ***,the cost of the most relevant SPs,and the monomers used in their synthesis,are *** impacts of SPs when deployed in drilling fluids,and t

关键词： Synthetic versus natural polymers Nanopolymers Drilling fluid additives Lubricity Clay swelling Hole cleaning

Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities:Current trends and future outlook

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Building Simulation 2024年第5期17卷 695-722页

作者： Nilabhra Mondal Prashant Anand Ansar Khan Chirag Deb david Cheong Chandra Sekhar Dev Niyogi Mattheos Santamouris Department of Architecture and Regional Planning Indian Institute of Technology KharagpurKharagpurIndia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia School of Architecture Design and PlanningThe University of SydneyAustralia Department of the Built Environment National University of SingaporeSingapore Department of Geological Sciences Jackson School of GeosciencesThe University of Texas at AustinAustinUSA DepartmentofCivil Architecturaland Environmental EngineeringThe Universityof Texas at AustinAustinUSA Faculty of Built Environment University of New South WalesAustralia

Energy demand fluctuations due to low probability high impact(LPHI)micro-climatic events such as urban heat island effect(UHI)and heatwaves,pose significant challenges for urban infrastructure,particularly within urban *** short term load forecasting(STLF)of buildings in urban micro-climatic setting(UMS)is obscured by the complex interplay of surrounding morphology,micro-climate and inter-building energy *** urban building energy modelling(UBEM)approaches to provide quantitative insights about building energy consumption often neglect the synergistic impacts of micro-climate and urban morphology in short temporal *** order modelling,unavailability of rich urban datasets such as building key performance indicators for building archetypes-characterization,limit the inter-building energy dynamics consideration into *** addition,mismatch of resolutions of spatio-temporal datasets(meso to micro scale transition),LPHI events extent prediction around UMS as well as its accurate quantitative inclusion in UBEM input organization step pose another degree of *** review aims to direct attention towards an integrated-UBEM(i-UBEM)framework to capture the building load fluctuation over multi-scale spatio–temporal *** highlights usage of emerging data-driven hybrid approaches,after systematically analysing developments and limitations of recent physical,data-driven artificial intelligence and machine learning(AI-ML)based modelling *** also discusses the potential integration of google earth engine(GEE)-cloud computing platform in UBEM input organization step to(i)map the land surface temperature(LST)data(quantitative attribute implying LPHI event occurrence),(ii)manage and pre-process high-resolution spatio-temporal UBEM *** the potential of digital twin,central structed data models to integrate along UBEM workflow to reduce uncertainties related to building archetype characterizat

关键词： urban heat island(UHI) urbanmicro-climate urban morphology urban building energy modelling(UBEM) digitaltwin shorttermload forecasting(STLF) googleearthengine(GEE)

Everything is Primitive Accumulation?

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Fudan Journal of the Humanities and Social Sciences 2024年第2期17卷 337-360页

作者： david S.Pena Joel Wendland-Liu Palm Beach State College Palm Beach GardensFLUSA Grand Valley State University AllendaleMIUSA

This paper explores the Marxist concept of primitive accumulation and its relationship to capitalist development. Primitive accumulation occurs as a historical process before the complete emergence of capitalism as the dominant mode of production. Primitive accumulation is distinguished from other forms of exploitation employed by capitalist societies to spread capitalism into non-capitalist regions. An exploration of different interpretations of primitive accumulation within Marxist theory highlights the transition from primary accumulation to capitalist accumulation in specific contexts. This paper provides a comprehensive overview of the multifaceted nature of primitive accumulation and its significance in the development of capitalism. It argues that many uses of primitive accumulation in the present context are erroneous.

关键词： Marxism Primitive accumulation Origins of capitalism Political economy

Impact of an oligosaccharide-based polymer on the metabolic profiles and microbial ecology of weanling pigs experimentally infected with a pathogenic ***

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Journal of Animal Science and Biotechnology 2024年第2期15卷 749-764页

作者： Kwangwook Kim Cynthia Jinno Xunde Li david Bravo Eric Cox Peng Ji Yanhong Liu Department of Animal Science University of CaliforniaDavisCA 95616USA Department of Animal Science Michigan State UniversityEast LansingMI 48824USA Cedars-Sinai Medical Center Los AngelesCA 90084USA School of Veterinary Medicine University of CaliforniaDavisCA 95616USA Pancosma|ADM 1180 RolleSwitzerland Nutreco Exploration NutrecoThe Netherlands Department of Virology Parasitology and ImmunologyGhent University9000 GhentBelgium Department of Nutrition University of CaliforniaDavisCA 95616USA

Background Our previous study has reported that supplementation of oligosaccharide-based polymer enhances gut health and disease resistance of pigs infected with enterotoxigenic ***(ETEC)F18 in a manner similar to *** objective of this study was to investigate the impacts of oligosaccharide-based polymer or antibiotic on the host metabolic profiles and colon microbiota of weaned pigs experimentally infected with ETEC *** Multivariate analysis highlighted the differences in the metabolic profiles of serum and colon digesta which were predominantly found between pigs supplemented with oligosaccharide-based polymer and *** relative abundance of metabolic markers of immune responses and nutrient metabolisms,such as amino acids and carbohydrates,were significantly differentiated between the oligosaccharide-based polymer and antibiotic groups(q2.0).In addition,pigs in antibiotic had a reduced(P<0.05)relative abundance of Lachnospiraceae and Lactobacillaceae,whereas had greater(P<0.05)Clostridiaceae and Streptococcaceae in the colon digesta on d 11 post-inoculation(PI)compared with d 5 *** The impact of oligosaccharide-based polymer on the metabolic and microbial profiles of pigs is not fully understood,and further exploration is ***,current research suggest that various mechanisms are involved in the enhanced disease resistance and performance in ETEC-challenged pigs by supplementing this polymer.

关键词： Carbadox Colon microbiota Enterotoxigenic E.coli F18 Metabolomics Oligosaccharide-based polymer Weaned pigs

Development of T cell antigen-based human coronavirus vaccinesagainst nAb-escaping SARS-CoV-2 variants

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Science Bulletin 2024年第15期69卷 2456-2470页

作者： Hao Zhou Ping Leng Yang Wang Kaiwen Yang Chen Li david M.Ojcius Pengfei Wang Shibo Jiang College of Medical Technology Chengdu University of Traditional Chinese MedicineChengdu 611137China Chongqing Key Laboratory of Sichuan-Chongqing Co-construction for Diagnosis and Treatment of Infectious Diseases Integrated Traditional Chinese and Western Medicine Chongqing Traditional Chinese Medicine HospitalChongqing 400016China Shanghai Pudong Hospital Fudan University Pudong Medical CenterShanghai Institute of Infectious Disease and BiosecuritySchool of Life SciencesFudan UniversityShanghai 200438China Department of Biomedical Sciences University of the PaciﬁcArthur Dugoni School of DentistrySan FranciscoCA 94115USA Key Laboratory of Medical Molecular Virology of Ministry of Education/Ministry of Health/Chinese Academy of Medical Sciences Shanghai Institute of Infectious Disease and BiosecuritySchool of Basic Medical SciencesFudan UniversityShanghai 200032China

Currently approved vaccines have been successful in preventing the severity of COVID-19 and hospitalization. These vaccines primarily induce humoral immune responses;however, highly transmissible and mutated variants, such as the Omicron variant, weaken the neutralization potential of the vaccines, thus,raising serious concerns about their efficacy. Additionally, while neutralizing antibodies(nAbs) tend to wane more rapidly than cell-mediated immunity, long-lasting T cells typically prevent severe viral illness by directly killing infected cells or aiding other immune cells. Importantly, T cells are more cross-reactive than antibodies, thus, highly mutated variants are less likely to escape lasting broadly cross-reactive T cell immunity. Therefore, T cell antigen-based human coronavirus(HCoV) vaccines with the potential to serve as a supplementary weapon to combat emerging SARS-CoV-2 variants with resistance to n Abs are urgently needed. Alternatively, T cell antigens could also be included in B cell antigen-based vaccines to strengthen vaccine efficacy. This review summarizes recent advancements in research and development of vaccines containing T cell antigens or both T and B cell antigens derived from proteins of SARS-CoV-2 variants and/or other HCo Vs based on different vaccine platforms.

关键词： COVID-19 Immune escape Omicron variant SARS-CoV-2 T cell antigen-based vaccine

A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 153-166页

作者： Xiaoling Luo Wei Wang Yong Xu Zhihui Lai Xiaopeng Jin Bob Zhang david Zhang Shenzhen Key Laboratory of Visual Object Detection and Recognition Harbin Institute of TechnologyShenzhenChina Peng Cheng Laboratory ShenzhenChina Shenzhen Institute of Artificial Intelligence and Robotics for Society ShenzhenChina College of Big Data and Internet Shenzhen Technology UniversityShenzhenChina The Department of Computer and Information Science University of MacaoMacaoMacaoChina The Chinese University of Hong Kong(Shenzhen) ShenzhenChina

Diabetic retinopathy(DR),the main cause of irreversible blindness,is one of the most common complications of *** present,deep convolutional neural networks have achieved promising performance in automatic DR detection *** convolution operation of methods is a local cross-correlation operation,whose receptive field de-termines the size of the local neighbourhood for ***,for retinal fundus photographs,there is not only the local information but also long-distance dependence between the lesion features(*** and exudates)scattered throughout the whole *** proposed method incorporates correlations between long-range patches into the deep learning framework to improve DR ***-wise re-lationships are used to enhance the local patch features since lesions of DR usually appear as *** Long-Range unit in the proposed network with a residual structure can be flexibly embedded into other trained *** experimental results demon-strate that the proposed approach can achieve higher accuracy than existing state-of-the-art models on Messidor and EyePACS datasets.

关键词： image classification medical image processing pattern recognition