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Big Earth Data 2024年第1期8卷 33-57页

作者： Farzane Mohseni Amirhossein Ahrari Jan-Henrik Haunert Carsten Montzka Institute of Geodesy and Geoinformation University of BonnBonnGermany Water Energy and Environmental Engineering Research UnitUniversity of OuluOuluFinland Institute of Bio-and Geosciences:Agrosphere(IBG-3) Forschungszentrum Jülich GmbHJülichGermany

Due to the coarse scale of soil moisture products retrieved from passive microwave observations(SMPMW),several downscaling methods have been developed to enable regional scale ***,it can be challenging for users to access final data products and algorithms,as well as managing different data sources and formats,various data processing methods,and the complexity of the workflows from raw data to information ***,the Google Earth Engine(GEE),which as of late offers SMPMW,is used to implement a workflow for retrieving 1 km SM at a depth of 0-5 cm using MODIS optical/thermal measurements,the SM_(PMW)coarse scale product,and a random forest *** proposed method was implemented on the African continent to estimate weekly SM *** results of this study were evaluated against in-situ measurements of three validation ***,in comparison to the original SM_(PMW)product,which was limited by a spatial resolution of only 9 km,this method is able to estimate SM at 1 km spatial resolution with acceptable accuracy(an average correlation coefficient of 0.64 and a ubRMSD of 0.069 m^(3)/m^(3)).The results show that the proposed method in GEE provides a precise estimation of SM with a higher spatial resolution across the entire continent.

关键词： Soil moisture SMAP Google Earth Engine random forest regression MODIS

Social networks of reintroduced Przewalski's horses in the Great Gobi B Strictly Protected Area (Mongolia)

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Current Zoology 2024年第2期70卷 182-194页

作者： Anna Bernatkova Ganbaatar Oyunsaikhan Jaroslav Simek Martina Komarkova Francisco Ceacero Faculty of Tropical AgriSciences Czech University of Life Sciences PragueCzech Republic Great Gobi B Strictly Protected Area Takhin TalMongolia Zoo Praha U Trojského zamku 120/3PragueCzech Republic

Analyzing social networks is a powerful tool for understanding the ecology of social *** most studies focus on the role of each group member,few compare groups with different *** current population of Przewalski's horses Equus ferus przewalskii at the Great Gobi B Strictly Protected Area(Mongolia)includes groups of wild-born and captive-bred individuals with different experiences with the area(acclimatizing,long-term reintroduced,and wild-born),therefore serving as an ideal natural behavioral *** filmed 11 groups for 141.5 hours in summer 2018(July),late spring 2019(May,June),and autumn 2019(September,October).Affiliative and agonistic interactions were recorded,and social networks were *** tested the influence of origin,experience,season,sex,age,relative time belonging to the group,relat-edness,and dominance rank on different network indices at the individual and group *** found that groups with greater experience in the area are generally better connected than members of the newly formed ***,these strong networks were created by wild-born individuals with very low interaction *** the contrary,inexperienced groups composed of captive-bred individuals displayed many inter actions but created weak social *** results show a trend of behavioral transition from acclimatizing through long-term reintroduced to wild-born groups,supporting that the newly formed groups of released Przewalski's horses need time to display the typical social behavior patterns of wild-born ***-term monitoring of released Przewalski's horses is recommended to promote the success of this reintroduction program.

关键词： Przewalski's horses reintroduction social behavior soft-release.

利用强子探针研究奇特原子核的点质子分布半径及强子探针效应

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Science Bulletin 2024年第11期69卷 1647-1652页

作者：张寂潮孙保华 Isao Tanihata Rituparna Kanungo Christoph Scheidenberger Satoru Terashima 王枫 Frederic Ameil Joel Atkinson Yassid Ayyad Soumya Bagchi Dolores Cortina-Gil Iris Dillmann Alfredo Estradé Alexey Evdokimov Fabio Farinon Hans Geissel Giulia Guastalla Rudolf Janik Satbir Kaur Ronja Knöbel Jan Kurcewicz Yury Litvinov Michele Marta Magdalena Mostazo Ivan Mukha Chiara Nociforo Hooi Jin Ong Stephane Pietri Andrej Prochazka Branislav Sitar Peter Strmen Maya Takechi Junki Tanaka Jossitt Vargas Helmut Weick John Stuart Winfield School of Physics Beihang UniversityBeijing 100191China Research Center for Nuclear Physics(RCNP) Osaka UniversityOsaka 567-0047Japan Astronomy and Physics Department Saint Mary’s UniversityHalifax B3H 3C3Canada TRIUMF Vancouver V6T 4A3Canada GSI Helmholtzzentrum für Schwerionenforschung Darmstadt D-64291Germany Justus-Liebig University Gießn 35392Germany Helmholtz Research Academy Hesse for FAIR(HFHF) GSI Helmholtz Center for Heavy Ion ResearchGießn 35392Germany Universidad de Santiago de Compostela Santiago de Compostella E-15706Spain Department of Physics Indian Institute of Technology(Indian School of Mines)Dhanbad 826004India Faculty of Mathematics and Physics Comenius UniversityBratislava 84215Slovakia Department of Physics and Atmospheric Science Dalhousie UniversityHalifax B3H 4R2Canada

We report the charge-changing cross sections(σ_(cc))of 24 p-shell nuclides on both hydrogen and carbon at about 900A MeV,of which^(8,9)Li,^(10–12)Be,^(10,14,15)B,^(14,15,17–22)N and^(16)O on hydrogen and^(8,9)Li on carbon are for the first *** from the data set,we found a new and robust relationship between the scaling factor of the Glauber model calculations and the separation energies of the nuclei of interest on both *** allows us to deduce proton radii(R_p)for the first time from the cross sections on *** identical R_p values are deduced from both target data for the neutron-rich carbon isotopes;however,the R_p from the hydrogen target is systematically smaller in the neutron-rich nitrogen *** calls for further experimental and theoretical investigations.

关键词： Exotic nuclei Nuclear size Reaction cross section Glauber model Radioactive ion beam

Probabilistic analysis of tunnel face seismic stability in layered rock masses using Polynomial Chaos Kriging metamodel

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第7期16卷 2678-2693页

作者： Jianhong Man Tingting Zhang Hongwei Huang Daniel Dias Department of Geotechnical Engineering Key Laboratory of Geotechnical and Underground Engineering of Ministry of EducationCollege of Civil EngineeringTongji UniversityShanghai200092China Grenoble Alpes 3SR LabCNRS UMR 5521Grenoble38000France

Face stability is an essential issue in tunnel design and *** rock masses are typical and ubiquitous;uncertainties in rock properties always *** view of this,a comprehensive method,which combines the Upper bound Limit analysis of Tunnel face stability,the Polynomial Chaos Kriging,the Monte-Carlo Simulation and Analysis of Covariance method(ULT-PCK-MA),is proposed to investigate the seismic stability of tunnel faces.A two-dimensional analytical model of ULT is developed to evaluate the virtual support force based on the upper bound limit *** efficient probabilistic analysis method PCK-MA based on the adaptive Polynomial Chaos Kriging metamodel is then implemented to investigate the parameter uncertainty *** input parameters,including geological strength indices,uniaxial compressive strengths and constants for three rock formations,and the horizontal seismic coefficients,are treated as random *** effects of these parameter uncertainties on the failure probability and sensitivity indices are *** addition,the effects of weak layer position,the middle layer thickness and quality,the tunnel diameter,the parameters correlation,and the seismic loadings are investigated,*** results show that the layer distributions significantly influence the tunnel face probabilistic stability,particularly when the weak rock is present in the bottom *** efficiency of the proposed ULT-PCK-MA is validated,which is expected to facilitate the engineering design and construction.

关键词： Tunnel face stability Layered rock masses Polynomial Chaos Kriging(PCK) Sensitivity index Seismic loadings

Towards vehicle electrification:A mathematical prediction of battery electric vehicle ownership growth,the case of Turkey

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Green Energy and Intelligent Transportation 2024年第4期3卷 39-43页

作者： Anas Alatawneh Duha Ghunaim Budapest University of Technology and Economics 1111 BudapestMűegyetem rkp.3Hungary Bahcesehir University34349 BeşiktaşİstanbulYıldızÇırağan Cd.Türkiye

Many countries are relying on electric vehicles to achieve their future greenhouse gas reduction targets;thus,they are setting regulations to force car manufacturers to a complete shift into producing fully electric vehicles,which will significantly influence the adoption rates of electric *** research investigates the temporal evolution of battery electric vehicle(BEV)ownership growth in Turkey,drawing insights from both historical and current *** employing and optimizing the Gompertz model,we provide a year-by-year projection of BEV ownership rates,aiding in exploring the anticipated timeline for BEV market *** findings indicate that the introduction of BEVs into the Turkish motorization market is poised to push further market saturation by approximately 15 years,to occur in around 2095 as opposed to ***,our analysis underscores the rapid growth pace in BEV ownership compared to the ownership of internal combustion engine vehicles(ICEVs).The main aim of this research is to provide Turkish policymakers and transport planners with solid insights into how the vehicle market will perform in the short and long run,allowing them to prepare a smooth transition from traditional vehicles to BEVs.

关键词： Electric vehicles Gompertz Forecasting Adoption Diffusion

Life Review the Impact of Combined Watson Care Theory Intervention on Psychological Status and Quality of Life in Patients with Terminal Lung Cancer

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Journal of Biosciences and Medicines 2024年第7期12卷 207-213页

作者： Jing Liu Hang Su Tumor Ward 3 The First Peoples Hospital of Jingzhou Jingzhou China

Objective: To analyze the impact of combined Watson care theory intervention on the psychological state and quality of life in patients with terminal lung cancer. Methods: 72 patients with terminal lung cancer admitted from March 2021 to January 2024 were selected, which were divided into research group (life review combined with Watson care theory intervention) and control group (conventional intervention), with 36 cases each. Compare the nursing effect between the two groups. Results: The anxiety self-rating scale (SAS) and depression self-rating scale (SDS) scores were significantly lower than those of the control group, and the quality of life score was significantly higher than that of the control group (P < 0.05). Conclusion: Life review combined with Watson care theory intervention can improve the psychological state and improve the quality of life of patients with terminal lung cancer.

关键词： Life Review Watson Theory of Care Lung Cancer Quality of Life

Strengthening Network Security: Deep Learning Models for Intrusion Detectionwith Optimized Feature Subset and Effective Imbalance Handling

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Computers, Materials & Continua 2024年第2期78卷 1995-2022页

作者： Bayi Xu Lei Sun Xiuqing Mao Chengwei Liu Zhiyi Ding School of Cyber Science and Engineering Zhengzhou UniversityZhengzhou450000China Three Academy Information Engineering UniversityZhengzhou450001China The 3rd Research Department Nanjing Research Institute of Electronic EngineeringNanjing210007China

In recent years,frequent network attacks have highlighted the importance of efficient detection methods for ensuring cyberspace *** paper presents a novel intrusion detection system consisting of a data prepro-cessing stage and a deep learning model for accurately identifying network *** have proposed four deep neural network models,which are constructed using architectures such as Convolutional Neural Networks(CNN),Bi-directional Long Short-Term Memory(BiLSTM),Bidirectional Gate Recurrent Unit(BiGRU),and Attention *** models have been evaluated for their detection performance on the NSL-KDD *** enhance the compatibility between the data and the models,we apply various preprocessing techniques and employ the particle swarm optimization algorithm to perform feature selection on the NSL-KDD dataset,resulting in an optimized feature ***,we address class imbalance in the dataset using focal ***,we employ the BO-TPE algorithm to optimize the hyperparameters of the four models,maximizing their detection *** test results demonstrate that the proposed model is capable of extracting the spatiotemporal features of network traffic data *** binary and multiclass experiments,it achieved accuracy rates of 0.999158 and 0.999091,respectively,surpassing other state-of-the-art methods.

关键词： Intrusion detection CNN BiLSTM BiGRU attention

Advanced wind turbine blade inspection with hyperspectral imaging and 3D convolutional neural networks for damage detection

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Energy and AI

Energy and AI 2024年第2期16卷 528-537页

作者： Patrick Rizk Frederic Rizk Sasan Sattarpanah Karganroudi Adrian Ilinca Rafic Younes Jihan Khoder Department of Mechanical Engineering Universitédu QuébecàTrois-RivièresDrummondvilleQCCanada Centre national intégrédu manufacturier intelligent(CNIMI) Universitédu QuébecàTrois-RivièresDrummondvilleQCCanada Department of Mathematics Computer Science and EngineeringUniversitédu QuébecàRimouski300 allée des UrsulinesRimouskiQCG5L3A1Canada The Center for Advanced Computer Studies University of Louisiana at LafayetteLafayetteLAUSA T3E Industrial Research Group Mechanical Engineering DepartmentÉcole de Technologie Supérieure1100 Notre-Dame St WMontréalQC H3C 1K3Canada Faculty of Engineering Third BranchLebanese UniversityHadathBeirutLebanon LISV Laboratory University of Versailles Saint-Quentin-en-Yvelines10-12 Avenue de l'Europe78140VélizyFrance

In the context of global efforts to mitigate climate change by pursuing sustainable energy sources, wind energy has emerged as a critical contributor. However, the wind energy industry faces substantial challenges in maintaining and preserving the integrity of wind turbine blades. Timely and accurate detection and classification of blade faults, encompassing issues such as cracks, erosion, and ice buildup, are imperative to uphold wind turbines' ongoing efficiency and safety. This study introduces an inventive approach that amalgamates hyperspectral imaging and 3D Convolutional Neural Networks (CNNs) to augment the precision and efficiency of wind turbine blade fault detection and classification. Hyperspectral imaging is harnessed to capture comprehensive spectral information from blade surfaces, facilitating exact fault identification. The process is streamlined through Incremental Principal Component Analysis (IPCA), reducing data dimensions while maintaining integrity. The 3D CNN model demonstrates remarkable performance, achieving high accuracy in detecting all fault categories in full-band hyperspectral images. The model retains high accuracy even with dimensionality reduction to 20 spectral bands. The reduced processing time of the 20-band image enhances the practicality of real-world applications, thereby reducing downtime and maintenance expenditures. This research represents a significant advancement in wind turbine blade inspection, contributing to the sustainability and dependability of wind energy systems and furthering the cause of a cleaner and more sustainable energy future as part of the broader fight against climate change.

关键词： blade thereby turbine

Analysis of a diffusive two-strain malaria model with the carrying capacity of the environment for mosquitoes

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Infectious Disease Modelling 2024年第3期9卷 931-962页

作者： Jinliang Wang Wenjing Wu Yuming Chen Engineering Research Center of Agricultural Microbiology Technology Ministry of Education&Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region&School of Mathematical ScienceHeilongjiang UniversityHarbin150080PR China Department of Mathematics Wilfrid Laurier UniversityWaterlooOntarioN2L 3C5Canada

We propose a malaria model involving the sensitive and resistant strains,which is described by reaction-diffusion *** model reflects the scenario that the vector and host populations disperse with distinct diffusion rates,susceptible individuals or vectors cannot be infected by both strains simultaneously,and the vector population satisfies the logistic *** main purpose is to get a threshold type result on the model,especially the interaction effect of the two strains in the presence of spatial *** solve this issue,the basic reproduction number(BRN)R_(0)^(i)and invasion reproduction number(IRN)R_(0)^(i)of each strain(i=1 and 2 are for the sensitive and resistant strains,respectively)are ***,we investigate the influence of the diffusion rates of populations and vectors on BRNs and IRNs.

关键词： Threshold dynamics Two-strain malaria model Competition and coexistence Reproduction number

Association of daily sitting time and leisure-time physical activity with body fat among ***

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Journal of Sport and Health Science 2024年第2期13卷 195-203页

作者： Jingwen Liao Min Hu Kellie Imm Clifton J.Holmes Jie Zhu Chao Cao Lin Yang Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion Guangzhou Sport UniversityGuangzhou 510500China Scientific Research Center Guangzhou Sport UniversityGuangzhou 510500China Division of Epidemiology&Genetics Department of Population and Public Health SciencesKeck School of Medicine of the University of Southern CaliforniaLos AngelesCA 90033USA Program in Physical Therapy Washington University School of MedicineSt.LouisMO 63110USA Center for Human Nutrition Washington University School of MedicineSt.LouisMO 63110USA Department of Plastic and Reconstructive Surgery Shanghai East HospitalTongji UniversityShanghai 200070China Department of Cancer Epidemiology and Prevention Research Alberta Health ServicesCalgary T2S 3C3Canada Department of Oncology and Community Health Sciences University of CalgaryCalgary T2N 1N4Canada

Background:Prolonged sitting and reduced physical activity lead to low energy ***,little is known about the joint impact of daily sitting time and physical activity on body fat *** investigated the independent and joint associations of daily sitting time and physical activity with body fat among ***:This was a cross-sectional analysis of *** representative data from the National Health and Nutrition Examination Survey2011-2018 among adults aged 20 years or *** sitting time and leisure-time physical activity(LTPA)were self-reported using the Global Physical Activity *** fat(total and trunk fat percentage)was determined via dual X-ray ***:Among 10,808 adults,about 54.6%spent 6 h/day or more sitting;more than one-half reported no LTPA(inactive)or less than 150 min/week LTPA(insufficiently active)with only 43.3%reported 150 min/week or more LTPA(active)in the past *** fully adjusting for sociodemographic data,lifestyle behaviors,and chronic conditions,prolonged sitting time and low levels of LTPA were associated with higher total and trunk fat percentages in both *** stratifying by LTPA,the association between daily sitting time and body fat appeared to be stronger in those who were inactive/insuufficiently *** the joint analyses,inactive/insuufficiently active adults who reported sitting more than 8 h/day had the highest total(female:3.99%(95%confidence interval(95%CI):3.09%-4.88%);male:3.79%(95%CI:2.75%-4.82%))and trunk body fat percentages(female:4.21%(95%CI:3.09%-5.32%);male:4.07%(95%CI:2.95%-5.19%))when compared with those who were active and sitting less than 4 h/***:Prolonged daily sitting time was associated with increased body fat among *** higher body fat associated with 6 h/day sitting may not be offset by achieving recommended levels of physical activity.

关键词： Adults Body fat distribution Physical activity Sitting time