4,569 research outputs found

    Subnational Map Of Poverty Generated From Remote-Sensing Data In Africa: Using Machine Learning Models And Advanced Regression Methods For Poverty Estimation

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    According to the 2020 poverty estimates from the World Bank, it is estimated that 9.1% - 9.4% of the global population lived on less than 1.90perday.ItisestimatedthattheCovid−19pandemicfurtheraggravatedtheissuebypushingmorethan11.90 per day. It is estimated that the Covid-19 pandemic further aggravated the issue by pushing more than 1% of the global population below the international poverty line of 1.90 per day (WorldBank, 2020). To provide help and formulate effective measures, poverty needs to be located as exact as possible. For this purpose, it was investigated whether regression methods with aggregated remote-sensing data could be used to estimate poverty in Africa. Therefore, five distinct regression frameworks were compared regarding their R2 value and the mean absolute relative percentage error when estimating poverty from aggregated remote-sensing data in continental Africa. A total of 12 regression models were developed at the three poverty rates at the 1.90,1.90, 3.20, and 5.50incomelevelperdayandcanbedividedintodirectmodels,two−stepmodels,andensemblemodels.Itwasfoundthatensemblemethodsperformbetterthansimplermodels,withanR2valueof0.74fortheensembleneuralnetand0.80fortheensemblexgboostmodel.ThebestperformingonestepmodelisthekernelridgeregressionwithanR2of0.72,whiletheremainingframeworksofthistypeallperformworse.Bayesianridgeregressionmodelsconsistentlyperformedtheworstcomparedtotheotherframeworksunderinvestigation.Itwasfoundthatitthemodelestimationsweremoststableatthedailyincomelevelof5.50 income level per day and can be divided into direct models, two-step models, and ensemble models. It was found that ensemble methods perform better than simpler models, with an R2 value of 0.74 for the ensemble neural net and 0.80 for the ensemble xgboost model. The best performing one step model is the kernel ridge regression with an R2 of 0.72, while the remaining frameworks of this type all perform worse. Bayesian ridge regression models consistently performed the worst compared to the other frameworks under investigation. It was found that it the model estimations were most stable at the daily income level of 1.90 and $3.20, which can be explained by the increasingly skewed distribution of target values for higher poverty thresholds. Overall, it was found that xgboost, kernel ridge regression and artificial neural networks perform better than the other models

    THE TIGHT-BINDING APPROACH TO THE DIELECTRIC RESPONSE IN THE MULTIBAND SYSTEMS

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    Starting from the random phase approximation for the weakly coupled multiband tightly-bounded electron systems, we calculate the dielectric matrix in terms of intraband and interband transitions. The advantages of this representation with respect to the usual plane-wave decomposition are pointed out. The analysis becomes particularly transparent in the long wavelength limit, after performing the multipole expansion of bare Coulomb matrix elements. For illustration, the collective modes and the macroscopic dielectric function for a general cubic lattice are derived. It is shown that the dielectric instability in conducting narrow band systems proceeds by a common softening of one transverse and one longitudinal mode. Furthermore, the self-polarization corrections which appear in the macroscopic dielectric function for finite band systems, are identified as a combined effect of intra-atomic exchange interactions between electrons sitting in different orbitals and a finite inter-atomic tunneling.Comment: 20 pages, LaTeX, no figure

    XML-Based Authoring: from Concepts via Compromises to Applications

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    Within the last couple of years, the competence centre for e-learning and multimedia at the Freie Universität Berlin (CeDiS) established a manufacture like production process for e-learning content, which is primarily targeted to large projects, i.e. projects with several authors and an arbitrary volume of content to produce. The most important cornerstones of the production process are an XML document format and an authoring tool for this document format. Unfortunately both were designed only to meet the requirements of two nation-wide projects, which were lead-managed by CeDiS.The work described in this paper is dedicated to the generalization of that manufacture like production process, especially the development of an adaptable XML document format for e-learning contents and the corresponding editor. The document format SCDL (Sharable Content Description Language) we specified as XML Schema, is a general document format for modular e-learning content. Besides common features like multimedia integration, it provides a mechanism for deriving project specific document formats from the general format by restriction and not by extension. This mechanism shall prevent that software solutions have to be adapted for any derived document format. Furthermore it fosters the possibilities of re-using and exchanging content.Based on Microsoft InfoPath we are developing an authoring tool for the SCDL document format. The currently available prototype already provides a comfortable user interface for the authors, which shows a structural, ‘semi-WYSIWYG’ view of the document. The features implemented so far are sufficient for simple applications, but important components like mathematical formulas and special media elements are still to add

    Long-Range Ordering of Vibrated Polar Disks

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    Vibrated polar disks have been used experimentally to investigate collective motion of driven particles, where fully-ordered asymptotic regimes could not be reached. Here we present a model reproducing quantitatively the single, binary and collective properties of this granular system. Using system sizes not accessible in the laboratory, we show in silico that true long-range order is possible in the experimental system. Exploring the model's parameter space, we find a phase diagram qualitatively different from that of dilute or point-like particle systems.Comment: 5 pages, 4 figure

    Distinct magnetotransport and orbital fingerprints of chiral bobbers

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    While chiral magnetic skyrmions have been attracting significant attention in the past years, recently, a new type of a chiral particle emerging in thin films −- a chiral bobber −- has been theoretically predicted and experimentally observed. Here, based on theoretical arguments, we provide a clear pathway to utilizing chiral bobbers for the purposes of future spintronics by uncovering that these novel chiral states possess inherent transport fingerprints that allow for their unambiguous electrical detection in systems comprising several types of chiral states. We reveal that unique transport and orbital characteristics of bobbers root in the non-trivial magnetization distribution in the vicinity of the Bloch points, and demonstrate that tuning the details of the Bloch point topology can be used to drastically alter the emergent response properties of chiral bobbers to external fields, which bears great potential for engineering chiral dynamics and cognitive computing.Comment: Supplementary available upon reques

    Mott transition in one dimension: Benchmarking dynamical cluster approaches

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    The variational cluster approach (VCA) is applied to the one-dimensional Hubbard model at zero temperature using clusters (chains) of up to ten sites with full diagonalization and the Lanczos method as cluster solver. Within the framework of the self-energy-functional theory (SFT), different cluster reference systems with and without bath degrees of freedom, in different topologies and with different sets of variational parameters are considered. Static and one-particle dynamical quantities are calculated for half-filling as a function of U as well as for fixed U as a function of the chemical potential to study the interaction- and filling-dependent metal-insulator (Mott) transition. The recently developed Q-matrix technique is used to compute the SFT grand potential. For benchmarking purposes we compare the VCA results with exact results available from the Bethe ansatz, with essentially exact dynamical DMRG data, with (cellular) dynamical mean-field theory and full diagonalization of isolated Hubbard chains. Several issues are discussed including convergence of the results with cluster size, the ability of cluster approaches to access the critical regime of the Mott transition, efficiency in the optimization of correlated-site vs. bath-site parameters and of multi-dimensional parameter optimization. We also study the role of bath sites for the description of excitation properties and as charge reservoirs for the description of filling dependencies. The VCA turns out to be a computationally cheap method which is competitive with established cluster approaches.Comment: 19 pages, 19 figures, v3 with minor corrections, extended discussio

    Corona, Jet, and Relativistic Line Models for Suzaku/RXTE/Chandra-HETG Observations of the Cygnus X-1 Hard State

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    Using Suzaku and the Rossi X-ray Timing Explorer, we have conducted a series of four simultaneous observations of the galactic black hole candidate Cyg X-1 in what were historically faint and spectrally hard low states. Additionally, all of these observations occurred near superior conjunction with our line of sight to the X-ray source passing through the dense phases of the focused wind from the mass donating secondary. One of our observations was also simultaneous with observations by the Chandra-High Energy Transmission Grating. These latter spectra are crucial for revealing the ionized absorption due to the secondary's focused wind. Such absorption is present and must be accounted for in all four spectra. These simultaneous data give an unprecedented view of the 0.8-300 keV spectrum of Cyg X-1, and hence bear upon both corona and X-ray emitting jet models of black hole hard states. Three models fit the spectra well: coronae with thermal or mixed thermal/non-thermal electron populations, and jets. All three models require a soft component that we fit with a low temperature disk spectrum with an inner radius of only a few tens of GM/c^2. All three models also agree that the known spectral break at 10\,keV is not solely due to the presence of reflection, but each gives a different underlying explanation for the augmentation of this break. Thus whereas all three models require that there is a relativistically broadened Fe line, the strength and inner radius of such a line is dependent upon the specific model, {thus making premature line-based estimates of the black hole spin in the Cyg X-1 system. We look at the relativistic line in detail, accounting for the narrow Fe emission and ionized absorption detected by HETG. Although the specific relativistic parameters of the line are continuum-dependent, none of the broad line fits allow for an inner disk radius that is >40 GM/c^2.Comment: 22 pages, 16 figures. Uses emulateapj style. Final three tables inserted as a figure to avoid issues with astro-ph's version of latex mangling the use of lscape. To be published in the Astrophysical Journal, January, 201

    Bubble coalescence in breathing DNA: Two vicious walkers in opposite potentials

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    We investigate the coalescence of two DNA-bubbles initially located at weak segments and separated by a more stable barrier region in a designed construct of double-stranded DNA. The characteristic time for bubble coalescence and the corresponding distribution are derived, as well as the distribution of coalescence positions along the barrier. Below the melting temperature, we find a Kramers-type barrier crossing behaviour, while at high temperatures, the bubble corners perform drift-diffusion towards coalescence. The results are obtained by mapping the bubble dynamics on the problem of two vicious walkers in opposite potentials.Comment: 7 pages, 4 figure

    Localization of non-interacting electrons in thin layered disordered systems

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    Localization of electronic states in disordered thin layered systems with b layers is studied within the Anderson model of localization using the transfer-matrix method and finite-size scaling of the inverse of the smallest Lyapunov exponent. The results support the one-parameter scaling hypothesis for disorder strengths W studied and b=1,...,6. The obtained results for the localization length are in good agreement with both the analytical results of the self-consistent theory of localization and the numerical scaling studies of the two-dimensional Anderson model. The localization length near the band center grows exponentially with b for fixed W but no localization-delocalization transition takes place.Comment: 6 pages, 5 figure
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