cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Event reconstruction and tau neutrino appearance using CNNs for KM3NeT/ORCA
Creators: name: Moser, Michael
name: Eberl, Thomas
Publisher: name: Zenodo
Year: 2020

description: The KM3NeT research infrastructure is under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino detector off the French coast consists of a three-dimensional array of photosensors. Its main purpose is the determination of the neutrino mass ordering by investigating the flavour oscillations of few-GeV atmospheric neutrinos. In this contribution, we will demonstrate the application of deep convolutional neural networks to simulated sets of KM3NeT/ORCA photosensor data. A complete analysis pipeline for the reconstruction and classification of events in the KM3NeT/ORCA detector is presented and performance comparisons to previously developed machine-learning classification and maximum-likelihood reconstruction algorithms are provided. The presented deep convolutional neural networks yield competitive reconstruction results and performance improvements with respect to classical approaches. Furthermore, the sensitivity of KM3NeT/ORCA to the appearance of tau neutrinos is presented, achieved with the described deep-learning event analysis pipeline.
A PDCA Cycle Analysis of Revitalization Project's Performance Management
Creators: name: Son, Eunil
name: Son, Eunil
Publisher: name: Unknown
Year: 2012
Subjects: subject: Community/Rural/Urban Development
subject: PDCA cycle
subject: Revitalization Project
subject: operation planning for performance management of Revitalization Project

description: The Revitalization Project was to reflect radical changes in the idea and philosophy of rural development. The Revitalization Project which started in 2005 was terminated in 2010. Accordingly, we need to analyze the policy outcomes of Revitalization Project. This study verified the operation planning for performance management of Revitalization Project through PDCA cycle. The methodologies for analysis are literature review, survey of public officials in 70 Revitalization Project cities and counties. The survey was carried out in October 2012 and 173 people from 70 cities and counties answered. The findings are as follows: First, there was a positive relationship between the planning phase and the implementation phase. Second, there was also a positive relationship between the implementation phase and the project's completion phase. Third, there was a positive relationship between the planning phase and the completion phase. Finally, the implementation phase was a partial mediator on the relationship between the planning phase and the completion phase. Based on these findings, the implications and limitations of the research findings were discussed, and recommendations for future research were provided.
Enhancement of biomethane potential of brown sludge by pre-treatment using vortex based hydrodynamic cavitation
Creators: name: Islam, Md Saiful
name: RANADE, VIVEK
Publisher: name: University of Limerick
Year: 2023
Subjects: classificationCode: 34
subject: Chemical sciences
subject: FOS: Chemical sciences

description: Novel, non-thermal and economically benign pre-treatment process was developed for enhancing valorisation potential of brown sludge generated by dairy industry wastewater treatment plant (WWTP). Vortex-based hydrodynamic cavitation (HC) device was used to quantify influence of pretreatment by measuring biomethane potential (BMP) of untreated and treated brown sludge. Pre-treatment parameters, primarily, pressure drop and number of passes through the cavitation device were varied to quantify influence on BMP. BMP tests were performed at 39 ◦C containing 5% of total solids in each reactors using an automatic BMP measurement system containing 15 reactors with each volume of 500 mL fitted with overhead stirrer. HC treatment increased the soluble chemical oxygen demand (sCOD) by more than 25% which increased the BMP. HC treatment was able to push the BMP of treated sludge to more than 80% of the theoretical BMP. Volatile solids (VS) removal was more than 65%. Highest methane yield was 376 mL/g-VS of sludge. The methodology and results presented here show significant potential to valorise brown dairy sludge via vortex based hydrodynamic cavitation.
A projection algorithm for strictly monotone linear complementarity problems
Creators: name: Zawadski, Erik
name: Gordon, Geoffrey J.
name: Platzer, Andre
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Complementary problems play a central role in equilibrium finding, physical simulation, and optimization. As a consequence, we are interested in understanding how to solve these problems quickly, and this often involves approximation. In this paper we present a method for approximately solving strictly monotone linear complementarity problems with a Galerkin approximation. We also give bounds for the approximate error, and prove novel bounds on perturbation error. These perturbation bounds suggest that a Galerkin approximation may be much less sensitive to noise than the original LCP.
Atmospheric Neutrino Physics with JUNO
Creators: name: Settanta, Giulio
name: Mari, Stefano Maria
name: Montini, Paolo
name: Martellini, Cristina
Publisher: name: Zenodo
Year: 2020

description: The atmospheric neutrino flux represents a natural source that can be exploited to infer properties about Cosmic Rays and neutrino oscillation physics. The JUNO observatory, a 20 kt liquid scintillator detector currently under construction in China, will be able to detect the atmospheric flux, given the large volume and the excellent energy resolution. In this study, a sample of atmospheric neutrinos Monte Carlo events has been generated from theoretical models and then processed by a full Geant4 - based simulation, which propagates all particles and light inside the detector. The different time evolution of light allows to discriminate the flavor of primary neutrinos. A probabilistic unfolding method has been used, in order to infer the primary neutrino energy spectrum from the detector output. The simulated spectrum has been reconstructed between 100 MeV and 10 GeV, showing a great potential of the detector in the atmospheric low energy region.
Mechanisms of Interparticle Bridging in Sintering of Dispersed Nanoparticles
Creators: name: Gorshkov, Vyacheslav
name: Kuzmenko, Vasily
name: Privman, Vladimir
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We model within the kinetic Monte Carlo method the initiation of neck formation and then later evolution of the resulting bridging regions for configurations involving small particles initially positioned fitted between large particles for situations typical for sintering of FCC nanocrystals, e.g., noble-metal nanoparticles. Neck initiation mechanisms by layering or clustering are identified. The stability of the resulting bridging configurations depends on several parameters, notably, on the relative small to large particle size ratio, and we explain recent experimental findings on improved sintering achieved for certain bimodal size distributions.
Oscillation tomography of the Earth with solar neutrinos and future experiments
Creators: name: Smirnov, Alexei Y.
name: Pouya Bakhti
Publisher: name: Zenodo
Year: 2020

description: We study in details the Earth matter effects on the boron neutrinos from the Sun using recently developed 3D models of the Earth. The models have a number of new features of the density profiles, in particular, substantial deviation from spherical symmetry. The nadir angle ($\eta$) dependences of $A_{ND}$ are computed for future detectors DUNE, THEIA, Hyper-Kamiokande and MICA at the South pole. Perspectives of the oscillation tomography of the Earth with the boron neutrinos are discussed. Next generation of detectors will establish the integrated day-night asymmetry with high confidence level. They can give some indications of the $\eta-$ dependence of the effect, but will discriminate among different models at most at the $(1 - 2)\sigma$ level. For the high level discrimination, the MICA-scale experiments are needed. MICA can detect the ice-soil borders and perform unique tomography of Antarctica.
"YANGI O`ZBEKISTONDA MILLIY TIKLANISHDAN MILLIY YUKSALISH SARI (TA`LIM)"
Creators: name: Sayfiyeva Bog'dagul
Publisher: name: Zenodo
Year: 2023
Subjects: Vatanga sadoqat va milliy qadriyatlarga hurmat, millatlararo totuvlik va diniy bag'rikenglik tuyg'ularini tarbiyalash masalasi, pedagogika va psixologiya

description: Ushbu uslubiy ko‘rsatmada yosh avlodda Vatanga sadoqat va milliy qadriyatlarga hurmat, millatlararo totuvlik va diniy bag‘rikenglik tuyg‘ularini tarbiyalash masalalari xususida ma’lumot berilgan. Uslubiy ko‘rsatma pedagogika va psixologiya bo‘yicha tadqiqot olib borayotgan mutaxassislarga, umumiy o‘rta ta’lim o‘qituvchilari uchun mo‘ljallangan.
Extraction of Bi-210 via Po-210 for CNO neutrino detection with Borexino
Creators: name: Xuefeng Ding
name: Sindhujha Kumaran
name: Basilico, Davide
name: Göttel, Alexandre
Publisher: name: Zenodo
Year: 2020

description: Borexino is a 280-ton liquid scintillator detector located at the Laboratori Nazionali del Gran Sasso, Italy. Its current primary goal is the detection of neutrinos from the CNO cycle in the Sun using both counting and spectral shape analyses. The main challenge is posed by the similar spectral shapes of CNO neutrinos and the $^{210}$Bi background, a beta emitter. A measurement of the $^{210}$Bi rate would greatly improve Borexino's sensitivity to CNO neutrinos. Ideally, $^{210}$Bi should be in secular equilibrium with $^{210}$Po and the measurement of $^{210}$Po, an alpha emitter, is possible through pulse-shape discrimination techniques. A thermal insulation campaign performed in 2015 has stabilised the detector, thereby reducing the convective motion of $^{210}$Po from peripheral sources. This poster will present our strategy to extract the $^{210}$Bi from a stable region near the center of the detector using different methods.
Clustering Cosmic Muon and Neutrino Interactions in MicroBooNE using a Deep Convolutional Neural Network
Creators: name: Mills, Joshua
Publisher: name: Zenodo
Year: 2020

description: We explore the use of a deep convolutional neural network called Mask-RCNN to locate, classify and cluster individual instances of cosmic ray muons and neutrino interactions in images from the MicroBooNE liquid argon TPC (LArTPC). Mask-RCNN, widely used in computer vision problems, proposes bounding boxes for objects it finds in a LArTPC image, then classifies each box and proposes a masked region within each corresponding to the identified object. We explore several variations of the network, such as a Sparse Convolutional version of ResNet using transferred dense ImageNet weights in order to increase the speed of the network without a significant change in performance. In addition we utilize transfer learning from one readout plane's training to the other planes. Lastly, we use cosmic ray data in MicroBooNE to evaluate the performance of the network.
Study of Muon Monitor Data To Maintain The Quality Of The NuMI Neutrino Beam at Fermilab
Creators: name: Yonehara, Katsuya
name: Wickremasinghe, Don
Publisher: name: Zenodo
Year: 2020

description: The NuMI target facility produces an intense muon neutrino beam for long baseline neutrino experiments. A muon monitor which measures muon beam profile, is a key beam element to maintain the quality of muon neutrino beam. Three arrays of muon monitors located in the downstream of the hadron absorber provide the measurements of the primary beam quality. We studied the response of muon monitors with the proton beam profile changes and focusing horn current variations. The responses of muon monitors have been used to implement Machine Learning (ML) algorithms to monitor the beam quality. Applications of ML techniques have shown the capabilities of identifying incidents, predicting the beam parameters and horn current with a significant accuracy. I will present the current status, recent results and future plans from our muon monitor data studies.
Dynamical instability in the S=1 Bose-Hubbard model
Creators: name: Asaoka, Rui
name: Tsuchiura, Hiroki
name: Yamashita, Makoto
name: Toga, Yuta
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We study the dynamical instabilities of superfluid flows in the S=1 Bose-Hubbard model. The time evolution of each spin component in a condensate is calculated based on the dynamical Gutzwiller approximation for a wide range of interactions, from a weakly correlated regime to a strongly correlated regime near the Mott-insulator transition. Owing to the spin-dependent interactions, the superfluid flow of the spin-1 condensate decays at a different critical momentum from a spinless case when the interaction strength is the same. We furthermore calculate the dynamical phase diagram of this model and clarify that the obtained phase boundary has very different features depending on whether the average number of particles per site is even or odd. Finally, we analyze the density and spin modulations that appear in association with the dynamical instability. We find that spin modulations are highly sensitive to the presence of a uniform magnetic field.
description: 11 pages, 9 figures
Sprachbewusstheit 2.0
Creators: name: Reinhardt, Janina
Publisher: name: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung.
Year: 2023

description: Die Digitalisierung unserer globalisierten Welt verändert auch das vorhandene bzw. zu erwerbende Sprachwissen sowie die Fähigkeiten und Fertigkeiten, die im Rahmen von Sprachbetrachtung im Fremdsprachenunterricht relevant sind. Ändern sich der Gebrauch von Sprache(n), die Betrachtung von Sprache(n) und das Sprache(n)lernen, so ändert sich auch das Konzept der Sprachbewusstheit. Um diese Ideen zu konkretisieren, wird in diesem Beitrag ein anwendungsorientiertes Modell entwickelt, das Sprachbewusstheit zunächst in drei Teilbereiche gliedert: die Sprachwissensgenese, die Verbalisierung von Sprachwissen und die Verwendung dieses Wissens. Anhand des Modells wird anschließend aufgezeigt, wie sich das Konzept der Sprachbewusstheit durch die Digitalisierung von Sprache, Sprachwissen und Sprachenlernen wandelt. Zuletzt werden exemplarische Texte und Aufgaben vorgestellt, wie sie für ein Dossier an zeitgemäßen Materialien für den Englisch-, Französisch- und Spanischunterricht genutzt werden können. Im Zentrum der Überlegungen steht dabei, wie sich der Kompetenzbereich der Sprachbewusstheit durch die zunehmende Digitalisierung transformiert und wie sich seine Förderung in den modernen Fremdsprachenunterricht integrieren lässt.
description: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung., Bd. 5 Nr. 3 (2023): Standards – Margins – New Horizons. Canons for 21st-century Teaching
Pumping conductance, the intrinsic anomalous Hall effect, and statistics of topological invariants
Creators: name: Dahlhaus, Jan
name: Ilan, Roni
name: Freed, Daniel
name: Freedman, Michael
name: Moore, Joel E.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The pumping conductance of a disordered two-dimensional Chern insulator scales with increasing size and fixed disorder strength to sharp plateau transitions at well-defined energies between ordinary and quantum Hall insulators. When the disorder strength is scaled to zero as system size increases, the "metallic" regime of fluctuating Chern numbers can extend over the whole band. A simple argument leads to a sort of weighted equipartition of Chern number over minibands in a finite system with periodic boundary conditions: even though there must be strong fluctuations between disorder realizations, the mean Chern number at a given energy is determined by the {\it clean} Berry curvature distribution expected from the intrinsic anomalous Hall effect formula for metals. This estimate is compared to numerical results using recently developed operator algebra methods, and indeed the dominant variation of average Chern number is explained by the intrinsic anomalous Hall effect. A mathematical appendix provides more precise definitions and a model for the full distribution of Chern numbers.
description: 12 pages
Additional file 8 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study
Creators: name: Yamano, Shotaro
name: Goto, Yuko
name: Takeda, Tomoki
name: Hirai, Shigeyuki
name: Furukawa, Yusuke
name: Kikuchi, Yoshinori
name: Kasai, Tatsuya
name: Misumi, Kyohei
name: Suzuki, Masaaki
name: Takanobu, Kenji
name: Senoh, Hideki
name: Saito, Misae
name: Kondo, Hitomi
name: Umeda, Yumi
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Additional file 8: Fig. S8. Additional AEC2 marker expression in pulmonary dust foci (PDF) and in tissue surrounding a lesion in a rat lung after inhalation exposure to TiO2 NP (50 mg/m3). Representative images of alveolar epithelial type 2 cell (AEC2) markers ABCA3 and proSPC in PDF and tissue surrounding a lesion.
Changepoint Detection over Graphs with the Spectral Scan Statistic
Creators: name: Sharpnack, James
name: Rinaldo, Alessandro
name: Singh, Aarti
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: We consider the change-point detection problem of deciding, based on noisy measurements, whether an unknown signal over a given graph is constant or is instead piecewise constant over two induced subgraphs of relatively low cut size. We analyze the corresponding generalized likelihood ratio (GLR) statistic and relate it to the problem of finding a sparsest cut in a graph. We develop a tractable relaxation of the GLR statistic based on the combinatorial Laplacian of the graph, which we call the spectral scan statistic, and analyze its properties. We show how its performance as a testing procedure depends directly on the spectrum of the graph, and use this result to explicitly derive its asymptotic properties on few graph topologies. Finally, we demonstrate both theoretically and by simulations that the spectral scan statistic can outperform naive testing procedures based on edge thresholding and χ2 testing.
Copula-based Kernel Dependency Measures
Creators: name: Poczos, Barnabas
name: Zoubin  Ghahramani
name: Schneider, Jeff
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: The paper presents a new copula based method for measuring dependence between random variables. Our approach extends the Maximum Mean Discrepancy to the copula of the joint distribution. We prove that this approach has several advantageous properties. Similarly to Shannon mutual information, the proposed dependence measure is invariant to any strictly increasing transformation of the marginal variables. This is important in many applications, for example in feature selection. The estimator is consistent, robust to outliers, and uses rank statistics only. We derive upper bounds on the convergence rate and propose independence tests too. We illustrate the theoretical contributions through a series of experiments in feature selection and low-dimensional embedding of distributions.
agency - Versuch einer sprachwissenschaftlichen Operationalisierung und Bausteine einer Heuristik
Creators: name: Bührig, Kristin
Publisher: name: Zenodo
Year: 2021

description: Die Folien zeigen in ersten Ansätzen eine „Anwendung“ eines Konzeptes, das grundlegend ‚transdiziplinären‘ Charakter hat: 1998 von Emirbayer &Mische geprägt, wird das Konzept in einem weiten Spektrum sozialwissenschaftlicher Fächer genutzt, um Fragen der Handlungswirksamkeit, des Selbstbewusstseins, des ‚Positionierens‘, der Verantwortung etc. zu verfolgen. Die Attraktion des Konzeptes ergibt sich durch die gleichsam vielfältigen wie auch konkreten Anwendungskontexte, die mit diesem Begriff arbeiten können. Zum bietet das Konzept der ‚agency‘ speziell für die Forschung im Rahmen einer angewandten Linguistik eine hohe Attraktion, da zum einen Fragen der ‘agency‘ genuin in Sprache und Sprachgebrauch verankert scheinen (Duranti2004). Zum anderen gilt es die konkreten Manifestationen von ‚agency‘ in Konstellationen sprachlichen Handelns zu entdecken und zu rekonstruieren (siehe etwa die Arbeiten von Lucius-Hoene und Deppermann sowie von Stehen im Literaturverzeichnis). Im Rahmen einer sprachwissenschaftlichen Lehrveranstaltung wurde das Konzept mit Studierenden der Studiengänge ‚Germanistische Linguistik‘ und ‚Allgemeine Sprachwissenschaft‘ diskutiert und in Projekten der Studierenden zu unterschiedlichen Handlungsbereichen weiter verfolgt: in literarischen Texten der Kinder und Jugendbuchliteratur, anhand von Dramentexten, anhand von Interviews und last but not least an Broschüren des Hamburger Senats, die Beistand für Familien zum Thema haben. Eine dieser Broschüren bildet den empirischen Fluchtpunkt dieser Präsentation. Inwiefern es hilft, den Broschürentext in digitaler Form zu nutzen und welche Verfahren es lohnt, im Sinne eine Heuristik einzusetzen, ist eine Perspektive, die hoffentlich Interessierte an der Thematik dazu ermutigt, Aspekten der ‚agency‘ in sprachwissenschaftlichen Analysen weiter nachzugehen....
Could the Hubble Tension be Pointing Toward the Neutrino Mass Mechanism?
Creators: name: Witte, Sam
name: Escudero, Miguel
Publisher: name: Zenodo
Year: 2020

description: Local measurements of the Hubble constant currently disagree with the high-precision value that is inferred from the CMB under the assumption of a ΛCDM cosmology. The significance of this tension clearly motivates studying extensions of the standard cosmological model capable of addressing this outstanding issue. In this poster, based on ArXiv:1909.04044, I will show that the Majoron - a pseudo-Goldstone boson arising from the spontaneous breaking of a global lepton number symmetry and often associated with the neutrino mass mechanism - can help to reduce the Hubble tension. Importantly, I will also show that current CMB observations can constrain neutrino-Majoron couplings as small as 10^{−13}, which within the type-I seesaw mechanism correspond to scales of lepton number breaking as high as ∼1TeV.
Distributed cosegmentation via submodular optimization on anisotropic diffusion
Creators: name: Gunhee  Kim
name: Xing, Eric P
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions from multiple images. In this paper, we propose CoSand, a distributed cosegmentation approach for a highly variable large-scale image collection. The segmentation task is modeled by temperature maximization on anisotropic heat diffusion, of which the temperature maximization with finite K heat sources corresponds to a K-way segmentation that maximizes the segmentation confidence of every pixel in an image. We show that our method takes advantage of a strong theoretic property in that the temperature under linear anisotropic diffusion is a submodular function; therefore, a greedy algorithm guarantees at least a constant factor approximation to the optimal solution for temperature maximization. Our theoretic result is successfully applied to scalable cosegmentation as well as diversity ranking and single-image segmentation. We evaluate CoSand on MSRC and ImageNet datasets, and show its competence both in competitive performance over previous work, and in much superior scalability.
The diffuse supernova neutrino background in Super-Kamiokande
Creators: name: Hedri, Sonia El
Publisher: name: Zenodo
Year: 2020

description: Neutrinos have played a key role in astrophysics, from the characterization of nuclear fusion processes in the Sun to the observation of supernova SN1987A and multiple extragalactic events. The Super-Kamiokande experiment has played a major part in these astrophysical studies by investigating low energy O(10)MeV neutrinos and currently exhibits the best sensitivity to the diffuse neutrino background from distant supernovae. Discovering and characterizing this signal however presents significant challenges due to important backgrounds from cosmic muon spallation and atmospheric neutrinos. Reducing these backgrounds will require implementing state-of-the-art neutron tagging algorithms to discriminate between different types of interactions, as well as a thorough characterization of spallation-inducing mechanisms. In this poster, I present the latest results from phase IV of Super-Kamiokande and discuss how the current strategies will evolve after the SuperK-Gd upgrade.
A multi-orbital iterated perturbation theory for model Hamiltonians and real material-specific calculations of correlated systems
Creators: name: Dasari, Nagamalleswararao
name: Mondal, Wasim Raja
name: Zhang, Peng
name: Moreno, Juana
name: Jarrell, Mark
name: Vidhyadhiraja, N. S.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Perturbative schemes utilizing a spectral moment expansion are well known and extensively used for investigating the physics of model Hamiltonians and real material systems. The advantages they offer, in terms of being computationally inexpensive, with real frequency output at zero and finite temperatures, compensate for their deficiencies and offer a quick, qualitative analysis of the system behavior. In this work, we have developed a method, that can be classified as a multi-orbital iterative perturbation theory (MO-IPT) to study N-fold degenerate and non degenerate Anderson impurity models. As applications of the solver, we have combined the method with dynamical mean field theory to explore lattice models like the single orbital Hubbard model, covalent band insulator and the multi-orbital Hubbard model for density-density type interactions in different parameter regimes. The Hund's coupling effects in case of multiple orbitals is also studied. The limitations and quality of results are gauged through extensive comparison with data from the numerically exact continuous time quantum Monte Carlo method (hybridization expansion CTQMC). In general we observe that the agreement with CTQMC results gets better as we move away from particle-hole symmetry. We have integrated MO-IPT with density functional theory based electronic structure methods to study real material systems. As a test case, we have studied the classic, strongly correlated electronic material, SrVO$_3$. A comparison of density of states and photo emission spectrum (PES) with results obtained from different impurity solvers and experiments yields good agreement.
description: 20 pages, 20 figures
Additional file 9 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study
Creators: name: Yamano, Shotaro
name: Goto, Yuko
name: Takeda, Tomoki
name: Hirai, Shigeyuki
name: Furukawa, Yusuke
name: Kikuchi, Yoshinori
name: Kasai, Tatsuya
name: Misumi, Kyohei
name: Suzuki, Masaaki
name: Takanobu, Kenji
name: Senoh, Hideki
name: Saito, Misae
name: Kondo, Hitomi
name: Umeda, Yumi
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Additional file 9: Fig. S9. Immunohistochemical characteristics in tissue surrounding a lesion in rat lungs after inhalation exposure to TiO2 NP (50 mg/m3): same rat as in figure 9. Representative images of staining sets similar to figure 9 in tissue surrounding a lesion (normal tissue).
Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system.
Creators: name: Curtis, Ross E.
name: Anuj  Goyal
name: Xing, Eric P
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: BACKGROUND: Structured association mapping is proving to be a powerful strategy to find genetic polymorphisms associated with disease. However, these algorithms are often distributed as command line implementations that require expertise and effort to customize and put into practice. Because of the difficulty required to use these cutting-edge techniques, geneticists often revert to simpler, less powerful methods.
RESULTS: To make structured association mapping more accessible to geneticists, we have developed an automatic processing system called Auto-SAM. Auto-SAM enables geneticists to run structured association mapping algorithms automatically, using parallelization. Auto-SAM includes algorithms to discover gene-networks and find population structure. Auto-SAM can also run popular association mapping algorithms, in addition to five structured association mapping algorithms.
CONCLUSIONS: Auto-SAM is available through GenAMap, a front-end desktop visualization tool. GenAMap and Auto-SAM are implemented in JAVA; binaries for GenAMap can be downloaded from http://sailing.cs.cmu.edu/genamap.
Quantum signatures of classical multifractal measures
Creators: name: Schönwetter, Moritz
name: Altmann, Eduardo G.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: A clear signature of classical chaoticity in the quantum regime is the fractal Weyl law, which connects the density of eigenstates to the dimension $D_0$ of the classical invariant set of open systems. Quantum systems of interest are often {\it partially} open (e.g., cavities in which trajectories are partially reflected/absorbed). In the corresponding classical systems $D_0$ is trivial (equal to the phase-space dimension), and the fractality is manifested in the (multifractal) spectrum of Rényi dimensions $D_q$. In this paper we investigate the effect of such multifractality on the Weyl law. Our numerical simulations in area-preserving maps show for a wide range of configurations and system sizes $M$ that (i) the Weyl law is governed by a dimension different from $D_0=2$ and (ii) the observed dimension oscillates as a function of $M$ and other relevant parameters. We propose a classical model which considers an undersampled measure of the chaotic invariant set, explains our two observations, and predicts that the Weyl law is governed by a non-trivial dimension $D_\mathrm{asymptotic} < D_0$ in the semi-classical limit $M\rightarrow\infty$.
An Analysis of Consumer Preferences for Pork Attributes
Creators: name: Ji, Inbae
name: Ji, Inbae
Publisher: name: Unknown
Year: 2012
Subjects: subject: Consumer/Household Economics
subject: Livestock Production/Industries
subject: pork
subject: conjoint analysis
subject: consumers' preference

description: The purpose of this study is to analyze the preference of consumers for pork using conjoint analysis. The study estimates the price of pork which consumers are willing to pay depending on the attributes of pork and forecasts the market share of pork pursuant to full implementation of FTA using the result of the estimate. The summary of the result of analysis revealed that when consumers purchase pork, they have the highest willingness to pay for the freshness among various attributes of pork (i.e., country of origin, the type of storage, freshness, brand), followed by country of origin, the type of storage, and brand in that order. The price which consumers were willing to pay for domestic pork was higher by 1,058 won over the price for imported pork. The result of forecast on market share showed that the market share of domestic pork after 2012 would maintain the level of approximately 60~70%. Accordingly, we will have to put focus on the supply of fresh domestic pork in order to sustain the level of existing market share.
Borexino Sensitivity Studies towards Detection of Solar Neutrinos from the CNO Fusion Cycle
Creators: name: Penek, Ömer
Publisher: name: Zenodo
Year: 2020

description: The Borexino detector, located at the Laboratori Nazionali del Gran Sasso in Italy, is a liquid scintillator detector with a primary goal to measure solar neutrinos. The *pp* fusion chain has been measured in Borexino with an outstanding precision through the detection of *pp*, *pep*, $^{7}$Be, and $^{8}$B neutrinos. It is well motivated by standard solar models that around 1 per cent of the solar energy is fueled by the so-called Carbon-Nitrogen-Oxygen (CNO) cycle. A direct measurement of the CNO cycle is difficult due to the high spectral correlation with the background isotope $^{210}$Bi and *pep* neutrinos. The sensitivity to CNO neutrinos was evaluated through a likelihood-ratio test, based on thousands of pseudo-experiments analyzed with a counting analysis as well as spectral fit. This poster presents the resulting discovery potential of Borexino towards the CNO cycle in the Sun.
From Language Portraits to Language-In-Education Policies in Higher Education for the 21st Century
Creators: name: Coetzee-Van Rooy, Susan
Publisher: name: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung.
Year: 2023

description: The focus of this paper is to contribute to the conversation about 21st century teaching skills from the vantage point of appropriate language-in-education policies for this context that keep the development of 21st century skills in mind. The approach taken was to use language portrait data gathered among students at the North-West University (NWU) in South Africa to establish the nature of their language repertoires and to investigate the relationships between the languages in the repertoire of the participants and 21st century skills. The findings from these analyses were then used to capture recommendations for appropriate 21st century language-in-education policies. The main findings from the analyses are that the participants display multilingual profiles, and that the languages included in the repertoires of the participants perform different functions. The analysis approach towards the language portraits seems to hold great potential to link the information provided in language portraits more directly to language-in-education policies.
description: PraxisForschungLehrer*innenBildung. Zeitschrift für Schul- und Professionsentwicklung., Bd. 5 Nr. 3 (2023): Standards – Margins – New Horizons. Canons for 21st-century Teaching
Discovering Sociolinguistic Associations with Structured Sparsity
Creators: name: Eisenstein, Jacob
name: Smith, Noah A.
name: Xing, Eric P.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: We present a method to discover robust and interpretable sociolinguistic associations from raw geotagged text data. Using aggregate demographic statistics about the authors' geographic communities, we solve a multi-output regression problem between demographics and lexical frequencies. By imposing a composite ℓ1,∞ regularizer, we obtain structured sparsity, driving entire rows of coefficients to zero. We perform two regression studies. First, we use term frequencies to predict demographic attributes; our method identifies a compact set of words that are strongly associated with author demographics. Next, we conjoin demographic attributes into features, which we use to predict term frequencies. The composite regularizer identifies a small number of features, which correspond to communities of authors united by shared demographic and linguistic properties
Search for magnetic monopoles with the ANTARES neutrino telescope
Creators: name: Boumaaza, Jihad
name: Abselilah Moussa
name: Juergen Brunner
name: Tayalati, Yahya
Publisher: name: Zenodo
Year: 2020

description: The presented study is an updated search for magnetic monopoles using data taken with the ANTARES neutrino telescope over a period of 9 years (2008-2017). In accordance with some grand unification theories, magnetic monopoles were created during the phase of symmetry breaking in the early Universe, and accelerated by galactic magnetic fields. As a consequence of their high energy, they could cross the Earth and emit a significant signal in a Cherenkov-based telescope like ANTARES, for appropriate mass and velocity ranges. This analysis uses a run-by-run simulation strategy, as well as a new simulation of magnetic monopoles taking into account the Kasama, Yang and Goldhaber model for their cross section with matter. The results obtained for relativistic magnetic monopoles with β=v⁄c ≥ 0.57, where v is the magnetic monopole velocity and c the speed of light in vacuum, will be presented.
A Study on Producers` Preferences for a Paprika Check-off Program
Creators: name: Hong, Nakyoung
name: Hong, Nakyoung
Publisher: name: Unknown
Year: 2012
Subjects: subject: Industrial Organization
subject: paprika
subject: check-off program
subject: producers' preference

description: This paper analyzes the producers’ preferences for check-off program of paprika using a choice experiment format. A multinomial logit model is estimated using primary data from a survey of paprika producers. The results show that paprika producers are more likely to prefer higher spending for market promotion, higher participation rate, more government subsidy, and lower participation fees. The results also indicate that age, education, export ratio, and acreage are also significant factors explaining farmers’ preferences for check-off program. Based on the results, some policy implications that might contribute to developing a mandatory check-off system of horticultural products were derived.
Effects of Sample Selection Bias on the Accuracy of Population Structure and Ancestry Inference
Creators: name: Suyash  Shringarpure
name: Xing, Eric P
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Population stratification is an important task in genetic analyses. It provides information about the ancestry of individuals and can be an important confounder in genome-wide association studies. Public genotyping projects have made a large number of datasets available for study. However, practical constraints dictate that of a geographical/ethnic population, only a small number of individuals are genotyped. The resulting data are a sample from the entire population. If the distribution of sample sizes is not representative of the populations being sampled, the accuracy of population stratification analyses of the data could be affected. We attempt to understand the effect of biased sampling on the accuracy of population structure analysis and individual ancestry recovery. We examined two commonly used methods for analyses of such datasets, ADMIXTURE and EIGENSOFT, and found that the accuracy of recovery of population structure is affected to a large extent by the sample used for analysis and how representative it is of the underlying populations. Using simulated data and real genotype data from cattle, we show that sample selection bias can affect the results of population structure analyses. We develop a mathematical framework for sample selection bias in models for population structure and also proposed a correction for sample selection bias using auxiliary information about the sample. We demonstrate that such a correction is effective in practice using simulated and real data.
Determining Compositeness of Hadronic Resonances: the $Λ(1405)$ Radiative Decay and the $a_{0} (980)$-$f_{0} (980)$ Mixing
Creators: name: Sekihara, T.
name: Kumano, S.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Recently the concept of compositeness has been developed so as to distinguish whether interested hadrons are hadronic molecules or not. Here, in terms of compositeness, we investigate $\bar{K} N$ molecular structure of the $Λ(1405)$ resonance with the $Λ(1405)$ radiative decay and $K \bar{K}$ molecular structure of the $a_{0} (980)$ and $f_{0} (980)$ resonances with the $a_{0} (980)$-$f_{0} (980)$ mixing.
description: 6 pages, 4 figures, Presentation given at the 2nd International Symposium on Science at J-PARC (J-PARC 2014), Tsukuba, Japan, July 12-15, 2014
Spherical particle orbits around a rotating black hole in massive gravity
Creators: name: Fathi, Mohsen
name: Villanueva, J. R.
name: Cruz, Norman
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this paper, we present a rotating de Rham-Gabadadze-Tolley black hole with a positive cosmological constant in massive gravity, achieved by applying a modified Newman-Janis algorithm. The black hole exhibits stable orbits of constant radii, prompting a numerical study on the behavior of the solutions to a nonic equation governing the radii of planar orbits around the black hole. Additionally, we investigate the stability of orbits near the event horizon and provide a comprehensive analytical examination of the solutions to the angular equations of motion. This is followed by simulating some spherical particle orbits around the black hole.
description: 20 pages, 19 figures, 2 tables
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
Creators: name: Yamada, Makoto
name: Wittawat  Jitkrittum
name: Sigal, Leonid
name: Xing, Eric P
name: Sugiyama, Masashi
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: The goal of supervised feature selection is to find a subset of input features that are responsible for predicting output values. The least absolute shrinkage and selection operator (Lasso) allows computationally efficient feature selection based on linear dependency between input features and output values. In this letter, we consider a feature-wise kernelized Lasso for capturing nonlinear input-output dependency. We first show that with particular choices of kernel functions, nonredundant features with strong statistical dependence on output values can be found in terms of kernel-based independence measures such as the Hilbert-Schmidt independence criterion. We then show that the globally optimal solution can be efficiently computed; this makes the approach scalable to high-dimensional problems. The effectiveness of the proposed method is demonstrated through feature selection experiments for classification and regression with thousands of features.
Budgeted Distribution Learning of Belief Net Parameters
Creators: name: Liuyang  Li
name: Poczos, Barnabas
name: Szepesvari, Csaba
name: Greiner, Russ
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Most learning algorithms assume that a data set is given initially. We address the com- mon situation where data is not available ini- tially, but can be obtained, at a cost. We focus on learning Bayesian belief networks (BNs) over discrete variables. As such BNs are models of probabilistic distributions, we consider the “generative” challenge of learning the parameters for a fixed structure, that best match the true distribution. We focus on the budgeted learning setting, where there is a known fixed cost ci for acquiring the value of the ith feature for any specified instance, and a known total budget to spend acquiring all information. After formally defining this problem from a Bayesian perspective, we first consider non-sequential algorithms that must decide, before seeing any results, which features of which instances to probe. We show this is NP-hard, even if all variables are independent, then prove that the greedy allocation algorithm iga is optimal when the costs are uniform and the features are independent, but can otherwise be sub-optimal. We then show that general (sequential) policies per- form better, and explore the challenges of learning the parameters for general belief net- works in this setting, describing conditions for when the obvious round-robin algorithm will, versus will not, work optimally. We also explore the effectiveness of this and various other heuristic algorithms
The simplest model of jamming
Creators: name: Franz, Silvio
name: Parisi, Giorgio
Publisher: name: arXiv
Year: 2015
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We study a well known machine learning model -the perceptron- as a simple model of jamming of hard objects. We exhibit two regimes: 1) a convex optimisation regime where jamming is hypostatic and non-critical. 2) a non convex optimisation regime where jamming is isostatic and critical. We characterise the critical jamming phase through exponents describing the distributions law of forces and gaps. Surprisingly we find that these exponents coincide with the corresponding ones recently computed in high dimensional hard spheres. In addition, modifying the perceptron to a random linear programming problem, we show that isostaticity is not a sufficient condition for singular force and gap distributions. For that, fragmentation of the space of solutions (replica symmetry breaking) appears to be a crucial ingredient. We hypothesise universality for a large class of non-convex constrained satisfaction problems with continuous variables.
Design and status of the Taishan Antineutrino Observatory (TAO)
Creators: name: Montini, Paolo
Publisher: name: Zenodo
Year: 2020

description: TAO is a Gadolinium-doped liquid scintillator (GdLS) antineutrino detector located very close (~30 m) to one of Taishan nuclear reactors. TAO will act as a reference detector for the JUNO experiment and will measure the fine structure of the reactor antineutrino spectrum thus providing a benchmark for the nuclear database and reactor monitoring. TAO consists of a 90 cm radius acrylic sphere filled with 2.8 ton of GdLS and viewed by 10 $m^2$ Silicon Photomultipliers (SiPM). The photoelectron yield is about 4500 per MeV, corresponding to an energy resolution better than 2% at 1 MeV. The system will be operated at -50 C in order to reduce the SiPMs dark counts. Water Cherenkov and plastic scintillator detectors will act as a veto for cosmic muons and shielding for external radioactivity. The TAO design and status is presented: the detector is expected to start its operation in 2022.
Discrete temporal models of social networks
Creators: name: Hanneke, Steve
name: Wenjie  Fu
name: Xing, Eric P.
Publisher: name: Figshare
Year: 2018
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: We propose a family of statistical models for social network evolution over time, which represents an extension of Exponential Random Graph Models (ERGMs). Many of the methods for ERGMs are readily adapted for these models, including maximum likelihood estimation algorithms. We discuss models of this type and their properties, and give examples, as well as a demonstration of their use for hypothesis testing and classification. We believe our temporal ERG models represent a useful new framework for modeling time-evolving social networks, and rewiring networks from other domains such as gene regulation circuitry, and communication networks.