The field of finance heavily relies on cybersecurity to safeguard its systems and clients from harmful software.The identification of malevolent code within financial software is vital for protecting both the financia...The field of finance heavily relies on cybersecurity to safeguard its systems and clients from harmful software.The identification of malevolent code within financial software is vital for protecting both the financial system and individual clients.Nevertheless,present detection models encounter limitations in their ability to identify malevolent code and its variations,all while encompassing a multitude of parameters.To overcome these obsta-cles,we introduce a lean model for classifying families of malevolent code,formulated on Ghost-DenseNet-SE.This model integrates the Ghost module,DenseNet,and the squeeze-and-excitation(SE)channel domain attention mechanism.It substitutes the standard convolutional layer in DenseNet with the Ghost module,thereby diminishing the model’s size and augmenting recognition speed.Additionally,the channel domain attention mechanism assigns distinctive weights to feature channels,facilitating the extraction of pivotal characteristics of malevolent code and bolstering detection precision.Experimental outcomes on the Malimg dataset indicate that the model attained an accuracy of 99.14%in discerning families of malevolent code,surpassing AlexNet(97.8%)and The visual geometry group network(VGGNet)(96.16%).The proposed model exhibits reduced parameters,leading to decreased model complexity alongside enhanced classification accuracy,rendering it a valuable asset for categorizing malevolent code.展开更多
Chinese cabbage,belonging to Brassica rapa species,is an important vegetable in Eastern Asia.It is well known that Chinese cabbage is quite recalcitrant to genetic transformation and the transgenic frequency is genera...Chinese cabbage,belonging to Brassica rapa species,is an important vegetable in Eastern Asia.It is well known that Chinese cabbage is quite recalcitrant to genetic transformation and the transgenic frequency is generally low.The lack of an efficient and stable genetic transformation system for Chinese cabbage has largely limited related gene functional studies.In this study,we firstly developed a regeneration system for Chinese cabbage by optimizing numerous factors,with 93.50%regeneration rate on average.Based on this,a simple and efficient Agrobacteriummediated genetic transformation methodwas established,without pre-culture procedure and concentration adjustment of hormone and AgNO_(3) in co-cultivation and selection media.Using this system,transformants could be obtained within 3.5–4.0 months.Average transformation frequency is up to 10.83%.The establishment of this simple and efficient genetic transformation method paved the way for further gene editing and functional studies in Chinese cabbage.展开更多
This study aimed to investigate the bile salt-stimulated lipase(BSSL) concentration in the milk of Chinese women and its correlation with maternal body mass index(BMI), gestational diabetes mellitus(GDM) and gestation...This study aimed to investigate the bile salt-stimulated lipase(BSSL) concentration in the milk of Chinese women and its correlation with maternal body mass index(BMI), gestational diabetes mellitus(GDM) and gestational hypertensive disorder(GHD). The BSSL levels in the milk samples were measured by enzyme-linked immunosorbent assay(ELISA). BSSL level in colostrum milk of mothers with full-term infants was positively correlated with pregnancy week and negatively correlated with maternal pre-pregnancy BMI and BMI late in pregnancy. Moreover, the BSSL concentration in mature milk was positively correlated with BMI gain during pregnancy. The BSSL concentration in colostrum milk was lower in GDM mothers than in normal mothers. The BSSL helps infants digest fat in early life and its level was associated with lactation. The changes in BSSL characteristics with maternal BMI and GDM in this study may have clinical implications regarding the effects of pregnancy weight and metabolism on the nutrition and health of the offspring.展开更多
This study was designed to verify the stem cell properties of sheep amniotic epithelial cells and their capacity for neural differentiation. Immunofluorescence microscopy and reverse transcription-PCR revealed that th...This study was designed to verify the stem cell properties of sheep amniotic epithelial cells and their capacity for neural differentiation. Immunofluorescence microscopy and reverse transcription-PCR revealed that the sheep amniotic epithelial cells were positive for the embryonic stem cell marker proteins SSEA-1, SSEA-3, SSEA-4, TRA-1-60 and TRA-1-81, and the totipotency-associated genes Oct-4, Sox-2 and Rex-1, but negative for Nanog. Amniotic epithelial cells expressed β-Ⅲ-tubulin, glial fibrillary acidic protein, nestin and microtubule-associated protein-2 at 28 days after induction with serum-free neurobasal-A medium containing B-27. Thus, sheep amniotic epithelial cells could differentiate into neurons expressing β-Ⅲ-tubulin and microtubule-associated protein-2, and glial-like cells expressing glial fibrillary acidic protein, under specific conditions.展开更多
The current study investigated the impact of coal mining on deep soil moisture from the perspective of the absolute value of soil moisture.A combined classical statistics and multi-dimensional geo-statistics approach ...The current study investigated the impact of coal mining on deep soil moisture from the perspective of the absolute value of soil moisture.A combined classical statistics and multi-dimensional geo-statistics approach was employed to analyze the temporal and spatial changes in soil moisture from 0 to 10 m in the mining face of the Nalin River No.2 Mine in Northwest China from the perspective of spatial variability.The results of the study show that compared with the control area,the average value of soil moisture in 1-and 2-year subsidence areas decreased by 1.18%and 0.96%,respectively,whereas the coefcient of variation increased by 17.92%and 3.63%,respectively.Interpolation of soil moisture spatial distribution results showed that the spatial variability of soil moisture in the control area was less than that in the subsidence areas,and the spatial variability of soil moisture in the 2-year subsidence area was less than that in the 1-year subsidence area,indicating that mining increases the spatial variability of soil moisture and that the degree of spatial variability of soil moisture decreases as the subsidence enters the stable period.These results provide evidence for the mechanism by which coal mining subsidence afects soil moisture.Preferential fow caused by surface cracks,soil texture,the soil pore microstructure,and other factors in the coal mining subsidence area are the primary drivers of the increase in spatial variability of soil moisture.展开更多
A reasonable curriculum system and teaching content can make the talent training of tourism higher education institutions more in line with the needs of the tourism industry.As the birthplace of the world's modern...A reasonable curriculum system and teaching content can make the talent training of tourism higher education institutions more in line with the needs of the tourism industry.As the birthplace of the world's modern tourism industry,the UK has always been at the forefront of tourism development and has become the pillar of the UK.The industry and the tourism industry have a large number of talents.It can be seen that the tourism higher education in the UK must have certain characteristics and advantages to support the development of its tourism industry.Therefore,this paper takes the comparatively mature university of the University of Surrey in the United Kingdom as an example.Through the analysis of the education system and curriculum of the tourism-related departments,it is found that the curriculum of tourism higher education in British universities and the characteristics of the education system.And through this analysis,it provides a reference for China's tourism higher education.展开更多
Brain imaging methods have effectively revealed drivers’underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction.With research...Brain imaging methods have effectively revealed drivers’underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction.With research no longer limited to indirect inferences about external behavior,some researchers combine behavior and driver brain activity to understand the human factors in driving essentially.However,most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used.This paper aims to review and analyze the application of brain imaging methods in driving behavior research,including bibliometric analysis and an individual critical literature review.Regarding bibliometric analysis,this field’s knowledge structure and development trend are described macroscopically,using data such as annual distribution of publications,country/region statistics and partnerships,publication sources,literature co-citation analysis,and keyword co-occurrence analysis.In a review of the individual critical literature,eight research themes were identified that examined driving behavior using brain imaging methods:substance consumption,fatigue or sleep deprivation,workload,distraction,aging brains,brain impairment and other diseases,automated/semi-automated environments,emotions influence and risk-taking,and general driving process.In addition,the study reports on six brain imaging methods and their advantages and disadvantages,involving electroencephalography(EEG),functional magnetic resonance imaging(fMRI),functional near-infrared spectroscopy(fNIRS),magnetoencephalography(MEG),positron emission tomography(PET),and transcranial magnetic stimulation(TMS).The contribution of this study is twofold.The first part relates to providing the researchers with a comprehensive understanding of the field’s knowledge structure and development trends.The second part goes beyond reviewing and analyzing previous studies,and the discussion section points out the directions and challenges for future research.展开更多
The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 3...The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.展开更多
As an important research topic in recent years,semantic segmentation has been widely applied to image understanding problems in various fields.With the successful application of deep learning methods in machine vision...As an important research topic in recent years,semantic segmentation has been widely applied to image understanding problems in various fields.With the successful application of deep learning methods in machine vision,the superior performance has been transferred to agricultural image processing by combining them with traditional methods.Semantic segmentation methods have revolutionized the development of agricultural automation and are commonly used for crop cover and type analysis,pest and disease identification,etc.We frst give a review of the recent advances in traditional and deep learning methods for semantic segmentation of agricultural images according to different segmentation principles.Then we introduce the traditional methods that can effectively utilize the original image information and the powerful performance of deep learningbased methods.Finally,we outline their applications in agricultural image segmentation.In our literature,we identify the challenges in agricultural image segmentation and summarize the innovative developments that address these challenges.The robustness of the existing segmentation methods for processing complex images still needs to be improved urgently,and their generalization abilities are also insufficient.In particular,the limited number of labeled samples is a roadblock to new developed deep learning methods for their training and evaluation.To this,segmentation methods that augment the dataset or incorporate multimodal information enable deep learning methods to further improve the segmentation capabilities.This review provides a reference for the application of image semantic segmentation in the field of agricultural informatization.展开更多
Evidence of whole-genome duplications(WGDs)and subsequent karyotype changes has been detected in most major lineages of living organisms on Earth.To clarify the complex resulting multi-layered patterns of gene colline...Evidence of whole-genome duplications(WGDs)and subsequent karyotype changes has been detected in most major lineages of living organisms on Earth.To clarify the complex resulting multi-layered patterns of gene collinearity in genome analyses,there is a need for convenient and accurate toolkits.To meet this need,we developed WGDI(Whole-Genome Duplication Integrated analysis),a Python-based command-line tool that facilitates comprehensive analysis of recursive polyploidization events and cross-species genome alignments.WGDI supports three main workflows(polyploid inference,hierarchical inference of genomic homology,and ancestral chromosome karyotyping)that can improve the detection of WGD and characterization of WGD-related events based on high-quality chromosome-level genomes.Significantly,it can extract complete synteny blocks and facilitate reconstruction of detailed karyotype evolution.This toolkit is freely available at GitHub(https://github.com/SunPengChuan/wgdi).As an example of its application,WGDI convincingly clarified karyotype evolution in Aquilegia coerulea and Vitis vinifera following WGDs and rejected the hypothesis that Aquilegia contributed as a parental lineage to the allopolyploid origin of core dicots.展开更多
The uniformly dispersed carbon nanotubes(CNTs) reinforced 6061Al composites(CNT/6061Al) with diff erent CNT concentrations were fabricated by powder metallurgy technology. It was found that the friction coe ffi cient ...The uniformly dispersed carbon nanotubes(CNTs) reinforced 6061Al composites(CNT/6061Al) with diff erent CNT concentrations were fabricated by powder metallurgy technology. It was found that the friction coe ffi cient as well as wear rate decreased fi rst and then increased as the CNT concentration increasing under 15 N as well as 30 N, and the minimum wear rate was achieved at the CNT concentration of 2 wt%. Adhesive wear and abrasive wear were the dominated wear mechanisms for the 1–2 wt% CNT/6061Al composites under 15 N and 30 N, while the delamination occurred on the wear surface at 3wt% CNT. As the applied load increased to 60 N, the wear rate of composites increased dramatically. The wear mechanism transformed from abrasive wear to severe delamination wear, accompanied by the generation of wear debris with sharp edge due to the weaker anti-shearing strain capacity of CNT/6061Al composites.展开更多
The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neut...The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment.展开更多
Previous studies on Chinese English teachers’identity and autonomy have overlooked the group of female student-teachers(FSTs)from rural areas.Drawing on data from questionnaire responses,narrative frames and semi-str...Previous studies on Chinese English teachers’identity and autonomy have overlooked the group of female student-teachers(FSTs)from rural areas.Drawing on data from questionnaire responses,narrative frames and semi-structured interviews with research participants,this study first depicts the trajectories of identity construction and autonomy development of nine female student-teachers,and then identifies three main factors that affected their transformation from English learners to student English teachers,and the development of autonomy in such a process.The three factors are gendered ideology,affinity groups and family finance.This study concludes with some implications for policy makers and teacher educators on how to empower female student English teachers from rural China to transform from English learners to English teachers,and how to enhance their autonomy in such a transformation.展开更多
Objective: Real-time monitoring of cytokine secretion at the single immunocyte level,based on the concept of immune cells, sociology has been recently reported. However,the relationships between glioma-initiating cell...Objective: Real-time monitoring of cytokine secretion at the single immunocyte level,based on the concept of immune cells, sociology has been recently reported. However,the relationships between glioma-initiating cells(GICs) and host immune cells and their mutual interactions in the tumor microenvironment have not been directly observed and remain unclear. Methods: The dual fluorescence tracing technique was applied to label the co-cultured GICs and host macrophages(M?), and the interactions between the two types of cells were observed using a live cell imaging system. Fusion cells in the co-culture system were monocloned and proliferated in vitro and their social interactions were observed and recorded. Results: Using real-time dynamic observation of target cells, 6 types of intercellular conjunction microtubes were found to function in the transfer of intercellular information between GICs and M?; GICs and host M? can fuse into hybrid cells after several rounds of mutual interactions, and then these fusion cells fused with each other; Fusion cells generated offspring cells through symmetrical and asymmetrical division or underwent apoptosis. A "cell in cell" phenomenon was observed in the fusion cells, which was often followed by cell release, namely entosis. Conclusions: Preliminary studies revealed the patterns of cell conjunction via microtubes between GICs and host M? and the processes of cell fusion, division, and entosis. The results revealed malignant transformation of host M?, induced by GICs, suggesting complex social relationships among tumor-immune cells in gliomas.展开更多
The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental physics.In this study,the potential of searching for proton decay in the p→νK...The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental physics.In this study,the potential of searching for proton decay in the p→νK^(+)mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification.Moreover,the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals.Based on these advantages,the detection efficiency for the proton decay via p→νK^(+)is 36.9%±4.9%with a background level of 0.2±0.05(syst)±0.2(stat)events after 10 years of data collection.The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 years,which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies.展开更多
1 Introduction With the rapid development of mobile networks,locationbased services has become popular in the daily lives of people.The service providers can recommend the profitable services to persons through mining...1 Introduction With the rapid development of mobile networks,locationbased services has become popular in the daily lives of people.The service providers can recommend the profitable services to persons through mining the frequent interests or places of persons.However,one aspect is that the historical data on Internet can easily cause the leakage of user-relationship privacy,another aspect is that the historical interests of person are always bound to time.Therefore,this paper devotes to study a privacy protection method on time-constrained point of interests(PoIs)based on the group relationships of users.展开更多
基金funded by National Natural Science Foundation of China(under Grant No.61905201)。
文摘The field of finance heavily relies on cybersecurity to safeguard its systems and clients from harmful software.The identification of malevolent code within financial software is vital for protecting both the financial system and individual clients.Nevertheless,present detection models encounter limitations in their ability to identify malevolent code and its variations,all while encompassing a multitude of parameters.To overcome these obsta-cles,we introduce a lean model for classifying families of malevolent code,formulated on Ghost-DenseNet-SE.This model integrates the Ghost module,DenseNet,and the squeeze-and-excitation(SE)channel domain attention mechanism.It substitutes the standard convolutional layer in DenseNet with the Ghost module,thereby diminishing the model’s size and augmenting recognition speed.Additionally,the channel domain attention mechanism assigns distinctive weights to feature channels,facilitating the extraction of pivotal characteristics of malevolent code and bolstering detection precision.Experimental outcomes on the Malimg dataset indicate that the model attained an accuracy of 99.14%in discerning families of malevolent code,surpassing AlexNet(97.8%)and The visual geometry group network(VGGNet)(96.16%).The proposed model exhibits reduced parameters,leading to decreased model complexity alongside enhanced classification accuracy,rendering it a valuable asset for categorizing malevolent code.
基金the National key research and Development Program(Grant No.2017YFD0101802)the National Natural Science Foundation of China(Grant Nos.31772326 and 31701930)China Postdoctoral Science Foundation(Grant Nos.2016M601345 and 2019T120219).
文摘Chinese cabbage,belonging to Brassica rapa species,is an important vegetable in Eastern Asia.It is well known that Chinese cabbage is quite recalcitrant to genetic transformation and the transgenic frequency is generally low.The lack of an efficient and stable genetic transformation system for Chinese cabbage has largely limited related gene functional studies.In this study,we firstly developed a regeneration system for Chinese cabbage by optimizing numerous factors,with 93.50%regeneration rate on average.Based on this,a simple and efficient Agrobacteriummediated genetic transformation methodwas established,without pre-culture procedure and concentration adjustment of hormone and AgNO_(3) in co-cultivation and selection media.Using this system,transformants could be obtained within 3.5–4.0 months.Average transformation frequency is up to 10.83%.The establishment of this simple and efficient genetic transformation method paved the way for further gene editing and functional studies in Chinese cabbage.
基金supported by grants from the National Basic Research Program of China(973 Program,Grant No.2013CB530604)the key program of the Nanjing Health Bureau(ZKX15043).
文摘This study aimed to investigate the bile salt-stimulated lipase(BSSL) concentration in the milk of Chinese women and its correlation with maternal body mass index(BMI), gestational diabetes mellitus(GDM) and gestational hypertensive disorder(GHD). The BSSL levels in the milk samples were measured by enzyme-linked immunosorbent assay(ELISA). BSSL level in colostrum milk of mothers with full-term infants was positively correlated with pregnancy week and negatively correlated with maternal pre-pregnancy BMI and BMI late in pregnancy. Moreover, the BSSL concentration in mature milk was positively correlated with BMI gain during pregnancy. The BSSL concentration in colostrum milk was lower in GDM mothers than in normal mothers. The BSSL helps infants digest fat in early life and its level was associated with lactation. The changes in BSSL characteristics with maternal BMI and GDM in this study may have clinical implications regarding the effects of pregnancy weight and metabolism on the nutrition and health of the offspring.
基金funded by the National High-Tech Research and Development Program of China(863Program),No.2008AA101005
文摘This study was designed to verify the stem cell properties of sheep amniotic epithelial cells and their capacity for neural differentiation. Immunofluorescence microscopy and reverse transcription-PCR revealed that the sheep amniotic epithelial cells were positive for the embryonic stem cell marker proteins SSEA-1, SSEA-3, SSEA-4, TRA-1-60 and TRA-1-81, and the totipotency-associated genes Oct-4, Sox-2 and Rex-1, but negative for Nanog. Amniotic epithelial cells expressed β-Ⅲ-tubulin, glial fibrillary acidic protein, nestin and microtubule-associated protein-2 at 28 days after induction with serum-free neurobasal-A medium containing B-27. Thus, sheep amniotic epithelial cells could differentiate into neurons expressing β-Ⅲ-tubulin and microtubule-associated protein-2, and glial-like cells expressing glial fibrillary acidic protein, under specific conditions.
基金funded by the National Natural Science Foundation of China(42177037,52004012)Yue Qi Young Scholar Project,China University of Mining&Technology,Beijing(2019QN08)+1 种基金the Research on Ecological Restoration and Protection of Coal Base in Arid Eco-fragile Regions(GJNY2030XDXM-19-03.2)Open Fund of State Key Laboratory of Water Resource Protection and Utilization in Coal Mining(GJNY-18-73.19).
文摘The current study investigated the impact of coal mining on deep soil moisture from the perspective of the absolute value of soil moisture.A combined classical statistics and multi-dimensional geo-statistics approach was employed to analyze the temporal and spatial changes in soil moisture from 0 to 10 m in the mining face of the Nalin River No.2 Mine in Northwest China from the perspective of spatial variability.The results of the study show that compared with the control area,the average value of soil moisture in 1-and 2-year subsidence areas decreased by 1.18%and 0.96%,respectively,whereas the coefcient of variation increased by 17.92%and 3.63%,respectively.Interpolation of soil moisture spatial distribution results showed that the spatial variability of soil moisture in the control area was less than that in the subsidence areas,and the spatial variability of soil moisture in the 2-year subsidence area was less than that in the 1-year subsidence area,indicating that mining increases the spatial variability of soil moisture and that the degree of spatial variability of soil moisture decreases as the subsidence enters the stable period.These results provide evidence for the mechanism by which coal mining subsidence afects soil moisture.Preferential fow caused by surface cracks,soil texture,the soil pore microstructure,and other factors in the coal mining subsidence area are the primary drivers of the increase in spatial variability of soil moisture.
文摘A reasonable curriculum system and teaching content can make the talent training of tourism higher education institutions more in line with the needs of the tourism industry.As the birthplace of the world's modern tourism industry,the UK has always been at the forefront of tourism development and has become the pillar of the UK.The industry and the tourism industry have a large number of talents.It can be seen that the tourism higher education in the UK must have certain characteristics and advantages to support the development of its tourism industry.Therefore,this paper takes the comparatively mature university of the University of Surrey in the United Kingdom as an example.Through the analysis of the education system and curriculum of the tourism-related departments,it is found that the curriculum of tourism higher education in British universities and the characteristics of the education system.And through this analysis,it provides a reference for China's tourism higher education.
基金supported by National Natural Science Foundation of China(51978522 and 51808402)。
文摘Brain imaging methods have effectively revealed drivers’underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction.With research no longer limited to indirect inferences about external behavior,some researchers combine behavior and driver brain activity to understand the human factors in driving essentially.However,most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used.This paper aims to review and analyze the application of brain imaging methods in driving behavior research,including bibliometric analysis and an individual critical literature review.Regarding bibliometric analysis,this field’s knowledge structure and development trend are described macroscopically,using data such as annual distribution of publications,country/region statistics and partnerships,publication sources,literature co-citation analysis,and keyword co-occurrence analysis.In a review of the individual critical literature,eight research themes were identified that examined driving behavior using brain imaging methods:substance consumption,fatigue or sleep deprivation,workload,distraction,aging brains,brain impairment and other diseases,automated/semi-automated environments,emotions influence and risk-taking,and general driving process.In addition,the study reports on six brain imaging methods and their advantages and disadvantages,involving electroencephalography(EEG),functional magnetic resonance imaging(fMRI),functional near-infrared spectroscopy(fNIRS),magnetoencephalography(MEG),positron emission tomography(PET),and transcranial magnetic stimulation(TMS).The contribution of this study is twofold.The first part relates to providing the researchers with a comprehensive understanding of the field’s knowledge structure and development trends.The second part goes beyond reviewing and analyzing previous studies,and the discussion section points out the directions and challenges for future research.
基金support from diverse funding sources,including the National Key Program for S&T Research and Development of the Ministry of Science and Technology(MOST),Yifang Wang's Science Studio of the Ten Thousand Talents Project,the CAS Key Foreign Cooperation Grant,the National Natural Science Foundation of China(NSFC)Beijing Municipal Science&Technology Commission,the CAS Focused Science Grant,the IHEP Innovation Grant,the CAS Lead Special Training Programthe CAS Center for Excellence in Particle Physics,the CAS International Partnership Program,and the CAS/SAFEA International Partnership Program for Creative Research Teams.
文摘The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.
基金the Post-graduate's Innovation Fund Project of Hebei University(HBU2022ss037)the High-Performance Computing Center of Hebei University.
文摘As an important research topic in recent years,semantic segmentation has been widely applied to image understanding problems in various fields.With the successful application of deep learning methods in machine vision,the superior performance has been transferred to agricultural image processing by combining them with traditional methods.Semantic segmentation methods have revolutionized the development of agricultural automation and are commonly used for crop cover and type analysis,pest and disease identification,etc.We frst give a review of the recent advances in traditional and deep learning methods for semantic segmentation of agricultural images according to different segmentation principles.Then we introduce the traditional methods that can effectively utilize the original image information and the powerful performance of deep learningbased methods.Finally,we outline their applications in agricultural image segmentation.In our literature,we identify the challenges in agricultural image segmentation and summarize the innovative developments that address these challenges.The robustness of the existing segmentation methods for processing complex images still needs to be improved urgently,and their generalization abilities are also insufficient.In particular,the limited number of labeled samples is a roadblock to new developed deep learning methods for their training and evaluation.To this,segmentation methods that augment the dataset or incorporate multimodal information enable deep learning methods to further improve the segmentation capabilities.This review provides a reference for the application of image semantic segmentation in the field of agricultural informatization.
基金This work was supported equally by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB31000000)the National Natural Science Foundation of China(grant numbers 31590821 and 91731301 to J.L.and 32070669to X.W.)+1 种基金the National Key Research and Development Program of China(2017YFC0505203 to Z.X.)also by the Fundamental Research Funds for the Central Universities(SCU2019D013 and 2020SCUNL207)and theNational High-Level Talents Special Support Plan(10 Thousand People Plan)。
文摘Evidence of whole-genome duplications(WGDs)and subsequent karyotype changes has been detected in most major lineages of living organisms on Earth.To clarify the complex resulting multi-layered patterns of gene collinearity in genome analyses,there is a need for convenient and accurate toolkits.To meet this need,we developed WGDI(Whole-Genome Duplication Integrated analysis),a Python-based command-line tool that facilitates comprehensive analysis of recursive polyploidization events and cross-species genome alignments.WGDI supports three main workflows(polyploid inference,hierarchical inference of genomic homology,and ancestral chromosome karyotyping)that can improve the detection of WGD and characterization of WGD-related events based on high-quality chromosome-level genomes.Significantly,it can extract complete synteny blocks and facilitate reconstruction of detailed karyotype evolution.This toolkit is freely available at GitHub(https://github.com/SunPengChuan/wgdi).As an example of its application,WGDI convincingly clarified karyotype evolution in Aquilegia coerulea and Vitis vinifera following WGDs and rejected the hypothesis that Aquilegia contributed as a parental lineage to the allopolyploid origin of core dicots.
基金financially supported by the Key Research Program of Frontier Sciences,CAS(No.QYZDJ-SSWJSC015)the National Natural Science Foundation of China(Nos.51931009,51871214 and 51871215)+1 种基金the Liao Ning Revitalization Talents Program(No.XLYC1902058)the Youth Innovation Promotion Association CAS(No.2020197)。
文摘The uniformly dispersed carbon nanotubes(CNTs) reinforced 6061Al composites(CNT/6061Al) with diff erent CNT concentrations were fabricated by powder metallurgy technology. It was found that the friction coe ffi cient as well as wear rate decreased fi rst and then increased as the CNT concentration increasing under 15 N as well as 30 N, and the minimum wear rate was achieved at the CNT concentration of 2 wt%. Adhesive wear and abrasive wear were the dominated wear mechanisms for the 1–2 wt% CNT/6061Al composites under 15 N and 30 N, while the delamination occurred on the wear surface at 3wt% CNT. As the applied load increased to 60 N, the wear rate of composites increased dramatically. The wear mechanism transformed from abrasive wear to severe delamination wear, accompanied by the generation of wear debris with sharp edge due to the weaker anti-shearing strain capacity of CNT/6061Al composites.
基金This work was supported by the Chinese Academy of Sciences,the National Key R&D Program of China,the CAS Center for Excellence in Particle Physics,the Joint Large Scale Scientific Facility Funds of the NSFC and CAS,Wuyi University,and the Tsung-Dao Lee Instiute of Shanghai Jiao Tong University in China,the In stiut National de Physique Nucleaire et de Physique de Particules(IN2P3)in France,the Istituto Nazionale di Fisica Nucleare(INFN)in Italy,the Fond de la Recherche Scintifique(F.R.S-FNRS)and FWO under the"Excellence of Science-EOS"in Belgium,the Conselho Nacional de Desenvolvimento Cientificoce Tecnologico in Brazil,the Agencia Nacional de Investigacion y Desrrollo in Chile,the Charles University Research Centre and the Ministry of Education,Youth,and Sports in Czech Republic,the Deutsche Forschungsgemeinschaft(DFG),the Helmholtz Association,and the Cluster of Exellence PRISMA+in Germany,the Joint Institute of Nuclear Research(JINR),Lomonosov Moscow State University,and Russian Foundation for Basic Research(RFBR)in Russia,the MOST and MOE in Taiwan,the Chu-lalongkorm University and Suranaree University of Technology in Thailand,and the University of aliformia at Irvine in USA.
文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment.
基金supported by the China Postdoctoral Science Foundation(2017M611602)
文摘Previous studies on Chinese English teachers’identity and autonomy have overlooked the group of female student-teachers(FSTs)from rural areas.Drawing on data from questionnaire responses,narrative frames and semi-structured interviews with research participants,this study first depicts the trajectories of identity construction and autonomy development of nine female student-teachers,and then identifies three main factors that affected their transformation from English learners to student English teachers,and the development of autonomy in such a process.The three factors are gendered ideology,affinity groups and family finance.This study concludes with some implications for policy makers and teacher educators on how to empower female student English teachers from rural China to transform from English learners to English teachers,and how to enhance their autonomy in such a transformation.
基金Supported by the National Natural Science Foundation of China(Grant No.81472739)the Natural Science Foundation of Jiangsu Province(Grant No.BK20151214)
文摘Objective: Real-time monitoring of cytokine secretion at the single immunocyte level,based on the concept of immune cells, sociology has been recently reported. However,the relationships between glioma-initiating cells(GICs) and host immune cells and their mutual interactions in the tumor microenvironment have not been directly observed and remain unclear. Methods: The dual fluorescence tracing technique was applied to label the co-cultured GICs and host macrophages(M?), and the interactions between the two types of cells were observed using a live cell imaging system. Fusion cells in the co-culture system were monocloned and proliferated in vitro and their social interactions were observed and recorded. Results: Using real-time dynamic observation of target cells, 6 types of intercellular conjunction microtubes were found to function in the transfer of intercellular information between GICs and M?; GICs and host M? can fuse into hybrid cells after several rounds of mutual interactions, and then these fusion cells fused with each other; Fusion cells generated offspring cells through symmetrical and asymmetrical division or underwent apoptosis. A "cell in cell" phenomenon was observed in the fusion cells, which was often followed by cell release, namely entosis. Conclusions: Preliminary studies revealed the patterns of cell conjunction via microtubes between GICs and host M? and the processes of cell fusion, division, and entosis. The results revealed malignant transformation of host M?, induced by GICs, suggesting complex social relationships among tumor-immune cells in gliomas.
基金supported by the Chinese Academy of Sciencesthe National Key R&D Program of China+22 种基金the CAS Center for Excellence in Particle PhysicsWuyi Universitythe Tsung-Dao Lee Institute of Shanghai Jiao Tong University in Chinathe Institut National de Physique Nucléaire et de Physique de Particules (IN2P3) in Francethe Istituto Nazionale di Fisica Nucleare (INFN) in Italythe Italian-Chinese collaborative research program MAECI-NSFCthe Fond de la Recherche Scientifique (F.R.S-FNRS)FWO under the "Excellence of Science-EOS" in Belgiumthe Conselho Nacional de Desenvolvimento Científico e Tecnològico in Brazilthe Agencia Nacional de Investigacion y Desarrollo in Chilethe Charles University Research Centrethe Ministry of Education,Youth,and Sports in Czech Republicthe Deutsche Forschungsgemeinschaft (DFG)the Helmholtz Associationthe Cluster of Excellence PRISMA+ in Germanythe Joint Institute of Nuclear Research (JINR)Lomonosov Moscow State University in Russiathe joint Russian Science Foundation (RSF)National Natural Science Foundation of China (NSFC) research programthe MOST and MOE in Taiwan,Chinathe Chulalongkorn UniversitySuranaree University of Technology in Thailandthe University of California at Irvine in USA
文摘The Jiangmen Underground Neutrino Observatory(JUNO)is a large liquid scintillator detector designed to explore many topics in fundamental physics.In this study,the potential of searching for proton decay in the p→νK^(+)mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification.Moreover,the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals.Based on these advantages,the detection efficiency for the proton decay via p→νK^(+)is 36.9%±4.9%with a background level of 0.2±0.05(syst)±0.2(stat)events after 10 years of data collection.The estimated sensitivity based on 200 kton-years of exposure is 9.6×1033 years,which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.61976032 and 62002039)the General Scientific Research Project of Liaoning(No.LJKZ0063).
文摘1 Introduction With the rapid development of mobile networks,locationbased services has become popular in the daily lives of people.The service providers can recommend the profitable services to persons through mining the frequent interests or places of persons.However,one aspect is that the historical data on Internet can easily cause the leakage of user-relationship privacy,another aspect is that the historical interests of person are always bound to time.Therefore,this paper devotes to study a privacy protection method on time-constrained point of interests(PoIs)based on the group relationships of users.