cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
How far can we see back in time in high-energy collisions using charm hadrons?
Creators: name: Gyulai, Laszlo
name: Biro, Gabor
name: Vertesi, Robert
name: Barnafoldi, Gergely Gabor
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We use open charm production to estimate how far we can see back in time in high-energy hadron-hadron collisions. We analyze the transverse momentum distributions of the identified D mesons from pp, p--Pb and A--A collisions at the ALICE and STAR experiments covering the energy range from $\sqrt{s_{\rm NN}} = 200$~GeV up to 7~TeV. Within a non-extensive statistical framework, the common Tsallis parameters for D mesons represent higher temperature and more degrees of freedom than that of light-flavour hadrons. Assuming Bjorken-expansion, the production of D mesons corresponds to a significantly earlier proper time, $τ_{\rm D} = (0.18 \pm 0.06) τ_{\rm LF}$.
description: 17 pages, 6 figures, 1 table
Generating Functions for Line Bundle Cohomology Dimensions on Complex Projective Varieties
Creators: name: Constantin, Andrei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Algebraic Geometry (math.AG)
subject: High Energy Physics - Theory (hep-th)
subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: This paper explores the possibility of constructing multivariate generating functions for all cohomology dimensions of all holomorphic line bundles on certain complex projective varieties of Fano, Calabi-Yau and general type in various dimensions and Picard numbers. Most of the results are conjectural and rely on explicit cohomology computations. We first propose a generating function for the Euler characteristic of all holomorphic line bundles on complete intersections in products of projective spaces and toric varieties. This generating function is constructed by expanding the Hilbert-Poincare series associated with the coordinate ring of the variety around all possible combinations of zero and infinity and then summing up the resulting contributions with alternating signs. Similar generating functions are proposed for the individual cohomology dimensions of all holomorphic line bundles on certain complete intersections, including examples of Mori and non-Mori dream spaces. Surprisingly, the examples studied indicate that a single generating function encodes both the zeroth and all higher cohomologies upon expansion around different combinations of zero and infinity, raising the question whether such generating functions determine the variety uniquely.
description: 40 pages, 7 figures; v2: published version (reference added and typos corrected)
Exploring the sensitivity of hadron colliders to non-universality in heavy neutral currents
Creators: name: Conventi, F.
name: D'Ambrosio, G.
name: Iyer, A. M.
name: Rossi, E.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We present sensitivity projections for discovering a heavy resonance decaying to electron and muon pairs and for probing the charged lepton non-universality in such decays at the HL-LHC and FCC-hh. The analysis takes into account the expected differences in the reconstruction efficiencies and the dilepton mass resolutions for dielectron and dimuon final states. We demonstrate how the analyses at HL-LHC naturally paves the way for a FCC-hh machine thereby underlining its importance.
description: 7 Pages, 9 Figures. Title and abstract modified. Improved analyses, plots and text. Matches published version in IJMPA
Additional file 4 of Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis
Creators: name: Lillo, Antonella De
name: Pathak, Gita A.
name: Angelis, Flavio De
name: Girolamo, Marco Di
name: Luigetti, Marco
name: Sabatelli, Mario
name: Perfetto, Federico
name: Frusconi, Sabrina
name: Manfellotto, Dario
name: Fuciarelli, Maria
name: Polimanti, Renato
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 4. Co-methylation analysis (Pearson’s correlation based on M values) with respect to cg13139646 (red text).
Fast Long-Term Multi-Scenario Prediction for Maneuver Planning at Unsignalized Intersections
Creators: name: Mertens, Max Bastian
name: Ruof, Jona
name: Strohbeck, Jan
name: Buchholz, Michael
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Motion prediction for intelligent vehicles typically focuses on estimating the most probable future evolutions of a traffic scenario. Estimating the gap acceptance, i.e., whether a vehicle merges or crosses before another vehicle with the right of way, is often handled implicitly in the prediction. However, an infrastructure-based maneuver planning can assign artificial priorities between cooperative vehicles, so it needs to evaluate many more potential scenarios. Additionally, the prediction horizon has to be long enough to assess the impact of a maneuver. We, therefore, present a novel long-term prediction approach handling the gap acceptance estimation and the velocity prediction in two separate stages. Thereby, the behavior of regular vehicles as well as priority assignments of cooperative vehicles can be considered. We train both stages on real-world traffic observations to achieve realistic prediction results. Our method has a competitive accuracy and is fast enough to predict a multitude of scenarios in a short time, making it suitable to be used in a maneuver planning framework.
New room temperature multiferroics on the base of single-phase nanostructured perovskites
Creators: name: Glinchuk, Maya D.
name: Eliseev, Eugene A.
name: Morozovska, Anna N.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The theoretical description of the nanostructured Pb(Fe1/2Ta1/2)x(Zr1/2Ti1/2)1-xO3 (PFTx-PZT(1-x)) and Pb(Fe1/2Nb1/2)x(Zr1/2Ti1/2)1-xO3 (PFNx-PZT(1-x)) intriguing ferromagnetic, ferroelectric and magnetoelectric properties at temperatures higher than 100 K are absent to date. The goal of this work is to propose the theoretical description of the physical nature and the mechanisms of the aforementioned properties, including room temperature ferromagnetism, phase diagram dependence on the composition x with a special attention to the multiferroic properties at room temperature, including anomalous large value of magnetoelectric coefficient. The comparison of the developed theory with experiments establishing the boundaries between paraelectric, ferroelectric, paramagnetic, antiferromagnetic, ferromagnetic and magnetoelectric phases, as well as the characteristic features of ferroelectric domain switching by magnetic field are performed and discussed. The experimentally established absence of ferromagnetic phase in PFN, PFT and in the solid solution of PFN with PbTiO3 (PFNx-PT(1-x)) was explained in the framework of the proposed theory.
description: 17 pages, 2 figures
Additional file 7 of Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis
Creators: name: Lillo, Antonella De
name: Pathak, Gita A.
name: Angelis, Flavio De
name: Girolamo, Marco Di
name: Luigetti, Marco
name: Sabatelli, Mario
name: Perfetto, Federico
name: Frusconi, Sabrina
name: Manfellotto, Dario
name: Fuciarelli, Maria
name: Polimanti, Renato
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 7. Statistical power calculations based on medium and small effect sizes (Δβ = 0.5 and 0.2, respectively) and multiple sample sizes.
Optimal Potential Shaping on SE(3) via Neural ODEs on Lie Groups
Creators: name: Wotte, Yannik P.
name: Califano, Federico
name: Stramigioli, Stefano
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: This work presents a novel approach for the optimization of dynamic systems on finite-dimensional Lie groups. We rephrase dynamic systems as so-called neural ordinary differential equations (neural ODEs), and formulate the optimization problem on Lie groups. A gradient descent optimization algorithm is presented to tackle the optimization numerically. Our algorithm is scalable, and applicable to any finite dimensional Lie group, including matrix Lie groups. By representing the system at the Lie algebra level, we reduce the computational cost of the gradient computation. In an extensive example, optimal potential energy shaping for control of a rigid body is treated. The optimal control problem is phrased as an optimization of a neural ODE on the Lie group SE(3), and the controller is iteratively optimized. The final controller is validated on a state-regulation task.
description: 21 pages, 11 figures
Some inequalities of linear combinations of independent random variables: II
Creators: name: Pan, Xiaoqing
name: Xu, Maochao
name: Hu, Taizhong
Publisher: name: arXiv
Year: 2013
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics

description: Linear combinations of independent random variables have been extensively studied in the literature. However, most of the work is based on some specific distribution assumptions. In this paper, a companion of (J. Appl. Probab. 48 (2011) 1179-1188), we unify the study of linear combinations of independent nonnegative random variables under the general setup by using some monotone transforms. The results are further generalized to the case of independent but not necessarily identically distributed nonnegative random variables. The main results complement and generalize the results in the literature including (In Studies in Econometrics, Time Series, and Multivariate Statistics (1983) 465-489 Academic Press; Sankhyā Ser. A 60 (1998) 171-175; Sankhyā Ser. A 63 (2001) 128-132; J. Statist. Plann. Inference 92 (2001) 1-5; Bernoulli 17 (2011) 1044-1053).
description: Published in at http://dx.doi.org/10.3150/12-BEJ429 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
Optimal decay for a wave-heat system with Coleman-Gurtin thermal law
Creators: name: Dell'Oro, Filippo
name: Paunonen, Lassi
name: Seifert, David
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: Primary: 35M33, 35B40, 93D15, 93D20. Secondary: 47D06, 34K30, 74D05

description: We study the long-term behaviour of solutions to a one-dimensional coupled wave-heat system with Coleman-Gurtin thermal law. Our approach is based on the asymptotic theory of $C_0$-semigroups and recent results developed for coupled control systems. As our main results, we represent the system as a feedback interconnection between the wave part and the Coleman-Gurtin part and we show that the associated semigroup in the history framework of Dafermos is polynomially stable with optimal decay rate $t^{-2}$ as $t\to\infty$. In particular, we obtain a sharp estimate for the rate of energy decay of classical solutions to the problem.
description: Accepted for publication in Journal of Mathematical Analysis and Applications
4+1 D homogeneous anisotropic string cosmological models with dilaton and anti-symmetric matter
Creators: name: Aslefatollahi, R.
name: Mojaveri, B.
name: Rezaei-Aghdam, A.
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We proceed to investigate exact solutions of homogeneous anisotropic string cosmological models characterized by five-dimensional space-time metrics (with real four-dimensional isometry Lie groups), non-vanishing dilaton and anti-symmetric B field.
description: 24 pages, 5 tables. Some formulas in section 4 are corrected, appendix B is added, some references are added
A Dynamical Investigation of the Proposed BD +20 2457 System
Creators: name: Horner, Jonathan
name: Wittenmyer, Robert A.
name: Hinse, Tobias C.
name: Marshall, Jonathan P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present a detailed dynamical analysis of the orbital stability of the BD +20 2457 system, which features planets or brown dwarfs moving on relatively eccentric orbits. We find that the system exhibits strong dynamical instability on astronomically short timescales across a wide range of plausible orbital eccentricities, semi-major axes, and inclinations. If the system truly hosts massive planets or brown dwarfs, our results suggest that they must move on orbits significantly different to those proposed in the discovery work. If that is indeed the case, then it is likely that the best-fit orbital solutions for the proposed companions will change markedly as future observations are made. Such observations may result in the solution shifting to a more dynamically-stable regime, potentially one where stability is ensured by mutually resonant motion.
description: Accepted for publication in Monthly Notices of the Royal Astronomical Society; 9 pages, 4 figures, 1 table
Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection
Creators: name: Calikus, Ece
name: Nowaczyk, Slawomir
name: Bouguelia, Mohamed-Rafik
name: Dikmen, Onur
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In contextual anomaly detection, an object is only considered anomalous within a specific context. Most existing methods for CAD use a single context based on a set of user-specified contextual features. However, identifying the right context can be very challenging in practice, especially in datasets, with a large number of attributes. Furthermore, in real-world systems, there might be multiple anomalies that occur in different contexts and, therefore, require a combination of several "useful" contexts to unveil them. In this work, we leverage active learning and ensembles to effectively detect complex contextual anomalies in situations where the true contextual and behavioral attributes are unknown. We propose a novel approach, called WisCon (Wisdom of the Contexts), that automatically creates contexts from the feature set. Our method constructs an ensemble of multiple contexts, with varying importance scores, based on the assumption that not all useful contexts are equally so. Experiments show that WisCon significantly outperforms existing baselines in different categories (i.e., active classifiers, unsupervised contextual and non-contextual anomaly detectors, and supervised classifiers) on seven datasets. Furthermore, the results support our initial hypothesis that there is no single perfect context that successfully uncovers all kinds of contextual anomalies, and leveraging the "wisdom" of multiple contexts is necessary.
Online News Topics on Face Masks in Australia During the COVID-19 Pandemic
Creators: name: Dasgupta, Pritam
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Introduction: During the COVID-19 pandemic, online media coverage of preventative strategies proliferated substantially. News media is constantly informing people about changes in public health policy and practices such as mask wearing. Hence, exploring the news media agenda on face mask use is warranted to analyse circulated topics and their trends. Aims and objectives: The aim of the thesis is to examine news related to face masks as well as to identify related topics and temporal trends in Australian online news media during the COVID-19 pandemic. Method: Following data collection from Google news platform, a trend analysis on the mask-related news titles from Australian news publishers was conducted. Then, a latent dirichlet allocation (LDA) topic modelling algorithm was applied along with evaluation matrices (quantitative and qualitative measures). Lastly, topic trends were developed and analysed in the context of mask use during the pandemic. Results: A total of 2,345 face-mask-related eligible news titles were collected from 25 January 2020 to 25 January 2021. Mask-related news showed an increasing trend corresponding to increasing COVID-19 cases in Australia. The best-fitted LDA topic model discovered 8 different topics with a coherence score of 0.66 and perplexity measure of -11.29. The major topics were Topic 1 (mask related international affairs), Topic 2 (introducing mask mandate in places such as Victoria and Sydney), and Topic 4 (anti-mask sentiment). Topic trends revealed that Topic 2 was the most frequent topic in January 2021 (77 news titles), corresponding to the mandatory mask wearing policy in Sydney. Conclusion and recommendation: This study demonstrated that Australian news media portrayed a wide range of topics related to face masks, including policy recommendations and people’s attitudes about face masks. Harnessing the news media platforms in health communication research is important for implementing effective pandemic responses. Timely, targeted, and transformative public health messages can rapidly spread around the world to facilitate local and global community mobilisation.
Additional file 1 of Socioeconomic inequalities in blood pressure: co-ordinated analysis of 147,775 participants from repeated birth cohort and cross-sectional datasets, 1989 to 2016
Creators: name: Bann, David
name: Fluharty, Meg
name: Hardy, Rebecca
name: Scholes, Shaun
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Additional file 1: Fig. S1. Flow diagram showing derivation of the analytical sample size: top panel (birth cohort studies), below panel (overleaf; repeated cross-sectional studies). Fig. S2. Education-related difference in mean diastolic blood pressure (left panels, mmHg) and hypertension prevalence (right panels, %) in midlife (43-46 years, from birth cohort data) and across adulthood (≥25 years, from repeated cross-sectional data). Fig. S3. Education-related differences in blood pressure lowering medication use (%) in midlife (43-46 years, from birth cohort data, left panel) and across adulthood (≥25 years, from repeated cross-sectional data, right panel). Fig. S4. Socioeconomic position across life and mean difference in systolic blood pressure (mmHg) in midlife (43-46 years, from birth cohort data, left panels) and across adulthood (≥25 years, from repeated cross-sectional data, right panel); without adjusting for blood pressure-lowering treatment (i.e. observed rather than underlying BP). Fig. S5. Socioeconomic position and mean difference in systolic blood pressure (mmHg) in midlife (43-46 years, from birth cohort data, left panel) and across adulthood (≥25 years, from repeated cross-sectional data, far right panel)—before and after adjustment for body mass index (BMI). Fig. S6. Early life socioeconomic position and mean difference in systolic blood pressure (mmHg) in midlife (43-46 years, from birth cohort data, left panels) and across adulthood (≥25 years, from repeated cross-sectional data, right panel); analyses stratified by gender. Fig. S7. Education-related difference in mean systolic blood pressure (mmHg) in those aged 25-54 years (left panel) or 55 years and older (right panel); data from repeated cross-sectional data.
Morphology of rain water channelization in systematically varied model sandy soils
Creators: name: Wei, Y.
name: Cejas, C. M.
name: Barrois, R.
name: Dreyfus, R.
name: Durian, D. J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We visualize the formation of fingered flow in dry model sandy soils under different raining conditions using a quasi-2d experimental set-up, and systematically determine the impact of soil grain diameter and surface wetting property on water channelization phenomenon. The model sandy soils we use are random closely-packed glass beads with varied diameters and surface treatments. For hydrophilic sandy soils, our experiments show that rain water infiltrates into a shallow top layer of soil and creates a horizontal water wetting front that grows downward homogeneously until instabilities occur to form fingered flows. For hydrophobic sandy soils, in contrast, we observe that rain water ponds on the top of soil surface until the hydraulic pressure is strong enough to overcome the capillary repellency of soil and create narrow water channels that penetrate the soil packing. Varying the raindrop impinging speed has little influence on water channel formation. However, varying the rain rate causes significant changes in water infiltration depth, water channel width, and water channel separation. At a fixed raining condition, we combine the effects of grain diameter and surface hydrophobicity into a single parameter and determine its influence on water infiltration depth, water channel width, and water channel separation. We also demonstrate the efficiency of several soil water improvement methods that relate to rain water channelization phenomenon, including pre-wetting sandy soils at different level before rainfall, modifying soil surface flatness, and applying superabsorbent hydrogel particles as soil modifiers.
On a generalization of close-to-convex functions
Creators: name: Sahoo, S. K.
name: Sharma, N. L.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 30C45, 30C50, 30C55, 30B10, 33B30, 33D15, 40A30, 47E05

description: A motivation comes from {\em M. Ismail and et al.: A generalization of starlike functions, Complex Variables Theory Appl., 14 (1990), 77--84} to study a generalization of close-to-convex functions by means of a $q$-analog of a difference operator acting on analytic functions in the unit disk $\mathbb{D}=\{z\in \mathbb{C}:\,|z|<1\}$. We use the terminology {\em $q$-close-to-convex functions} for the $q$-analog of close-to-convex functions. The $q$-theory has wide applications in special functions and quantum physics which makes the study interesting and pertinent in this field. In this paper, we obtain some interesting results concerning conditions on the coefficients of power series of functions analytic in the unit disk which ensure that they generate functions in the $q$-close-to-convex family. As a result we find certain dilogarithm functions that are contained in this family. Secondly, we also study the famous Bieberbach conjecture problem on coefficients of analytic $q$-close-to-convex functions. This produces several power series of analytic functions convergent to basic hypergeometric functions.
description: 14 pages, to appear in a journal (this version of the paper may not be the final version)
BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion
Creators: name: Yu, Yonghao
name: Zhu, Shunan
name: Qin, Huai
name: Li, Haorui
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Witnessing the evolution of text-to-image diffusion models, significant strides have been made in text-to-3D generation. Currently, two primary paradigms dominate the field of text-to-3D: the feed-forward generation solutions, capable of swiftly producing 3D assets but often yielding coarse results, and the Score Distillation Sampling (SDS) based solutions, known for generating high-fidelity 3D assets albeit at a slower pace. The synergistic integration of these methods holds substantial promise for advancing 3D generation techniques. In this paper, we present BoostDream, a highly efficient plug-and-play 3D refining method designed to transform coarse 3D assets into high-quality. The BoostDream framework comprises three distinct processes: (1) We introduce 3D model distillation that fits differentiable representations from the 3D assets obtained through feed-forward generation. (2) A novel multi-view SDS loss is designed, which utilizes a multi-view aware 2D diffusion model to refine the 3D assets. (3) We propose to use prompt and multi-view consistent normal maps as guidance in refinement.Our extensive experiment is conducted on different differentiable 3D representations, revealing that BoostDream excels in generating high-quality 3D assets rapidly, overcoming the Janus problem compared to conventional SDS-based methods. This breakthrough signifies a substantial advancement in both the efficiency and quality of 3D generation processes.
Spatial risk mapping for rare disease with hidden Markov fields and variational EM
Creators: name: Forbes, Florence
name: Charras-Garrido, Myriam
name: Azizi, Lamiae
name: Doyle, Senan
name: Abrial, David
Publisher: name: arXiv
Year: 2013
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Current risk mapping models for pooled data focus on the estimated risk for each geographical unit. A risk classification, that is, grouping of geographical units with similar risk, is then necessary to easily draw interpretable maps, with clearly delimited zones in which protection measures can be applied. As an illustration, we focus on the Bovine Spongiform Encephalopathy (BSE) disease that threatened the bovine production in Europe and generated drastic cow culling. This example features typical animal disease risk analysis issues with very low risk values, small numbers of observed cases and population sizes that increase the difficulty of an automatic classification. We propose to handle this task in a spatial clustering framework using a nonstandard discrete hidden Markov model prior designed to favor a smooth risk variation. The model parameters are estimated using an EM algorithm and a mean field approximation for which we develop a new initialization strategy appropriate for spatial Poisson mixtures. Using both simulated and our BSE data, we show that our strategy performs well in dealing with low population sizes and accurately determines high risk regions, both in terms of localization and risk level estimation.
description: Published in at http://dx.doi.org/10.1214/13-AOAS629 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Extension of boundary homeomorphisms to mappings of finite distortion
Creators: name: Karafyllia, Christina
name: Ntalampekos, Dimitrios
Publisher: name: arXiv
Year: 2021
Subjects: subject: Complex Variables (math.CV)
subject: Classical Analysis and ODEs (math.CA)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: Primary 30C62, 30C65, Secondary 37F31, 46E35

description: We provide sufficient conditions so that a homeomorphism of the real line or of the circle admits an extension to a mapping of finite distortion in the upper half-plane or the disk, respectively. Moreover, we can ensure that the quasiconformal dilatation of the extension satisfies certain integrability conditions, such as $p$-integrability or exponential integrability. Mappings satisfying the latter integrability condition are also known as David homeomorphisms. Our extension operator is the same as the one used by Beurling and Ahlfors in their celebrated work. We prove an optimal bound for the quasiconformal dilatation of the Beurling--Ahlfors extension of a homeomorphism of the real line, in terms of its symmetric distortion function. More specifically, the quasiconformal dilatation is bounded above by an average of the symmetric distortion function and below by the symmetric distortion function itself. As a consequence, the quasiconformal dilatation of the Beurling--Ahlfors extension of a homeomorphism of the real line is (sub)exponentially integrable, is $p$-integrable, or has a $BMO$ majorant if and only if the symmetric distortion is (sub)exponentially integrable, is $p$-integrable, or has a $BMO$ majorant, respectively. These theorems are all new and reconcile several sufficient extension conditions that have been established in the past.
description: 20 pages, 2 figures
Downside Risk Reduction Using Regime-Switching Signals: A Statistical Jump Model Approach
Creators: name: Shu, Yizhan
name: Yu, Chenyu
name: Mulvey, John M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Portfolio Management (q-fin.PM)
subject: Statistical Finance (q-fin.ST)
subject: FOS: Economics and business

description: This article investigates a regime-switching investment strategy aimed at mitigating downside risk by reducing market exposure during anticipated unfavorable market regimes. We highlight the statistical jump model (JM) for market regime identification, a recently developed robust model that distinguishes itself from traditional Markov-switching models by enhancing regime persistence through a jump penalty applied at each state transition. Our JM utilizes a feature set comprising risk and return measures derived solely from the return series, with the optimal jump penalty selected through a time-series cross-validation method that directly optimizes strategy performance. Our empirical analysis evaluates the realistic out-of-sample performance of various strategies on major equity indices from the US, Germany, and Japan from 1990 to 2023, in the presence of transaction costs and trading delays. The results demonstrate the consistent outperformance of the JM-guided strategy in reducing risk metrics such as volatility and maximum drawdown, and enhancing risk-adjusted returns like the Sharpe ratio, when compared to both hidden Markov model-guided strategy and the buy-and-hold strategy. These findings underline the enhanced persistence, practicality, and versatility of strategies utilizing JMs for regime-switching signals.
description: 22 pages, 6 figures. Final article
A Drinfeld type presentation of affine $\imath$quantum groups II: split BCFG type
Creators: name: Zhang, Weinan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Representation Theory (math.RT)
subject: Quantum Algebra (math.QA)
subject: FOS: Mathematics

description: Recently, Lu and Wang formulated a Drinfeld type presentation for $\imath$quantum group $\widetilde{\mathbf U}^\imath$ arising from quantum symmetric pairs of split affine ADE type. In this paper, we generalize their results by establishing a current presentation for $\widetilde{\mathbf U}^\imath$ of arbitrary split affine type.
description: v2 25 pages, minor corrections
On-chip generation and guiding of quantum light from a site-controlled quantum dot
Creators: name: Jamil, Ayesha
name: Skiba-Szymanska, Joanna
name: Kalliakos, Sokratis
name: Schwagmann, Andre
name: Ward, Martin B.
name: Brody, Yarden
name: Ellis, David J. P.
name: Farrer, Ian
name: Griffiths, Jonathan P.
name: Jones, Geb A. C.
name: Ritchie, David A.
name: Shields, Andrew J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We demonstrate the emission and routing of single photons along a semiconductor chip originating from carrier recombination in an actively positioned InAs quantum dot. Device scale arrays of quantum dots are formed by a two step regrowth process. We precisely locate the propagating region of a unidirectional photonic crystal waveguide with respect to the quantum dot nucleation site. Under pulsed optical excitation, the multiphoton emission probability from the exit of the waveguide is 12 \pm 5 % before any background correction. Our results are a major step towards the deterministic integration of a quantum emitter with the waveguiding components of photonic quantum circuits.
description: 8 pages, 4 figures
The Nonlinear Talbot Effect of Rogue Waves
Creators: name: Zhang, Yiqi
name: Belić, Milivoj R.
name: Zheng, Huaibin
name: Chen, Haixia
name: Li, Changbiao
name: Song, Jianping
name: Zhang, Yanpeng
Publisher: name: arXiv
Year: 2014
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Akhmediev and Kuznetsov-Ma breathers are rogue wave solutions of the nonlinear Schrödinger equation (NLSE). Talbot effect (TE) is an image recurrence phenomenon in the diffraction of light waves. We report the nonlinear TE of rogue waves in a cubic medium. It is different from the linear TE, in that the wave propagates in a NL medium and is an eigenmode of NLSE. Periodic rogue waves impinging on a NL medium exhibit recurrent behavior, but only at the TE length and at the half-TE length with a π-phase shift; the fractional TE is absent. The NL TE is the result of the NL interference of the lobes of rogue wave breathers. This interaction is related to the transverse period and intensity of breathers, in that the bigger the period and the higher the intensity, the shorter the TE length.
description: 4 pages, 4 figures
Stephen Bun Sang Lee, Relaciones Iglesia-Estado em la República Popular China, EUNSA, Pamplona 1990, 534 pp., 215X145, ISBN 84-313-1112-6
Creators: name: Arieiro, José
Publisher: name: Theologica
Year: 1993

description: Theologica, v. 28 n. 1 (1993): Nova evangelização, novos pastores | Santos portugueses
Using $LDL^{T}$ factorizations in Newton's method for solving general large-scale algebraic Riccati equations
Creators: name: Saak, Jens
name: Werner, Steffen W. R.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 15A24, 49M15, 65F45, 65H10, 93A15

description: Continuous-time algebraic Riccati equations can be found in many disciplines in different forms. In the case of small-scale dense coefficient matrices, stabilizing solutions can be computed to all possible formulations of the Riccati equation. This is not the case when it comes to large-scale sparse coefficient matrices. In this paper, we provide a reformulation of the Newton-Kleinman iteration scheme for continuous-time algebraic Riccati equations using indefinite symmetric low-rank factorizations. This allows the application of the method to the case of general large-scale sparse coefficient matrices. We provide convergence results for several prominent realizations of the equation and show in numerical examples the effectiveness of the approach.
description: 29 pages, 1 figure, 10 tables
Two types of Dirac-cone surface states on (111) surface of topological crystalline insulator SnTe
Creators: name: Tanaka, Y.
name: Shoman, T.
name: Nakayama, K.
name: Souma, S.
name: Sato, T.
name: Takahashi, T.
name: Novak, M.
name: Segawa, Kouji
name: Ando, Yoichi
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We have performed angle-resolved photoemission spectroscopy (ARPES) on the (111) surface of the topological crystalline insulator SnTe. Distinct from a pair of Dirac-cone surface states across the X_bar point of the surface Brillouin zone on the (001) surface, we revealed two types of Dirac-cone surface states each centered at the G_bar and M_bar points, which originate from the bulk-band inversion at the L points. We also found that the energy location of the Dirac point and the Dirac velocity are different from each other. This ARPES experiment demonstrates the surface states on different crystal faces of a topological material, and it elucidates how mirror-symmetry-protected Dirac cones of a topological crystalline insulator show up on surfaces with different symmetries.
description: 6 pages, 5 figures
Baryogenesis in quantum fluctuation modified gravity
Creators: name: Yang, Rong-Jia
name: Shi, Yong-Ben
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider baryogenesis in quantum fluctuation modified gravity. We explore three forms (two are newly proposed here) of baryogenesis interaction and discuss the effect of these interaction terms on the baryon-to-entropy ratio during the radiation era of the expanding universe. We constrain the model parameters with the current observational data, implying that this modified gravity is capable to address the issue of baryon asymmetry in a successful manner.
description: 11 pages, 6 figures
Phase Reduction Method for Strongly Perturbed Limit Cycle Oscillators
Creators: name: Kurebayashi, Wataru
name: Shirasaka, Sho
name: Nakao, Hiroya
Publisher: name: arXiv
Year: 2014
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Chaotic Dynamics (nlin.CD)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: The phase reduction method for limit cycle oscillators subjected to weak perturbations has significantly contributed to theoretical investigations of rhythmic phenomena. We here propose a generalized phase reduction method that is also applicable to strongly perturbed limit cycle oscillators. The fundamental assumption of our method is that the perturbations can be decomposed into a slowly varying component as compared to the amplitude relaxation time and remaining weak fluctuations. Under this assumption, we introduce a generalized phase parameterized by the slowly varying component and derive a closed equation for the generalized phase describing the oscillator dynamics. The proposed method enables us to explore a broader class of rhythmic phenomena, in which the shape and frequency of the oscillation may vary largely because of the perturbations. We illustrate our method by analyzing the synchronization dynamics of limit cycle oscillators driven by strong periodic signals. It is shown that the proposed method accurately predicts the synchronization properties of the oscillators, while the conventional method does not.
Magnetized strangelets with anomalous magnetic moment and Coulomb interactions
Creators: name: Chen, Huai-Min
name: Li, Xiao-Wei
name: Xia, Cheng-Jun
name: Wang, Jing-Tao
name: Peng, Guang-Xiong
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the magnetized strangelets in the baryon density-dependent quark mass model, including the effects of both confinement and lead-order perturbation interactions. The properties of magnetized strangelets are investigated under the the field strength 2*10^17 G, where the anisotropy caused by the strong magnetic field is insignificant can be treated approximately as an isotropic system. The consideration of anomalous magnetic moments in the energy spectrum naturally solves the difficulty of infrared divergence encountered in integrating the density of states. The Coulomb interaction is accounted for a self-consistent treatment. The energy per baryon, mechanically stable radius, strangeness and electric charge of magnetized strangelets are presented, where their dependence on the field strength and parameter of confinement and perturbation are investigated.
Additional file 1 of Serotyping and pathotyping of Glaesserella parasuis isolated 2012–2019 in Germany comparing different PCR-based methods
Creators: name: Schuwerk, Lukas
name: Hoeltig, Doris
name: Karl-Heinz Waldmann
name: Strutzberg-Minder, Katrin
name: Valentin-Weigand, Peter
name: Rohde, Judith
Publisher: name: figshare
Year: 2020
Subjects: subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Geographic origin of isolates.
Amadeo de Fuenmayor, Escritos sobre las Prelaturas Personales, Servicio de Publicaciones de la Universidad de Navarra, Pamplona 1990, 210 pp., 25X145, ISBN 84-87146-39-2.
Creators: name: Silva, Fernando
Publisher: name: Theologica
Year: 1993

description: Theologica, v. 28 n. 1 (1993): Nova evangelização, novos pastores | Santos portugueses
Multi-Label Classification Neural Networks with Hard Logical Constraints
Creators: name: Giunchiglia, Eleonora
name: Lukasiewicz, Thomas
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Multi-label classification (MC) is a standard machine learning problem in which a data point can be associated with a set of classes. A more challenging scenario is given by hierarchical multi-label classification (HMC) problems, in which every prediction must satisfy a given set of hard constraints expressing subclass relationships between classes. In this paper, we propose C-HMCNN(h), a novel approach for solving HMC problems, which, given a network h for the underlying MC problem, exploits the hierarchy information in order to produce predictions coherent with the constraints and to improve performance. Furthermore, we extend the logic used to express HMC constraints in order to be able to specify more complex relations among the classes and propose a new model CCN(h), which extends C-HMCNN(h) and is again able to satisfy and exploit the constraints to improve performance. We conduct an extensive experimental analysis showing the superior performance of both C-HMCNN(h) and CCN(h) when compared to state-of-the-art models in both the HMC and the general MC setting with hard logical constraints.
description: arXiv admin note: text overlap with arXiv:2010.10151
A survey of recent methods for addressing AI fairness and bias in biomedicine
Creators: name: Yang, Yifan
name: Lin, Mingquan
name: Zhao, Han
name: Peng, Yifan
name: Huang, Furong
name: Lu, Zhiyong
Publisher: name: arXiv
Year: 2024
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Artificial intelligence (AI) systems have the potential to revolutionize clinical practices, including improving diagnostic accuracy and surgical decision-making, while also reducing costs and manpower. However, it is important to recognize that these systems may perpetuate social inequities or demonstrate biases, such as those based on race or gender. Such biases can occur before, during, or after the development of AI models, making it critical to understand and address potential biases to enable the accurate and reliable application of AI models in clinical settings. To mitigate bias concerns during model development, we surveyed recent publications on different debiasing methods in the fields of biomedical natural language processing (NLP) or computer vision (CV). Then we discussed the methods that have been applied in the biomedical domain to address bias. We performed our literature search on PubMed, ACM digital library, and IEEE Xplore of relevant articles published between January 2018 and December 2023 using multiple combinations of keywords. We then filtered the result of 10,041 articles automatically with loose constraints, and manually inspected the abstracts of the remaining 890 articles to identify the 55 articles included in this review. Additional articles in the references are also included in this review. We discuss each method and compare its strengths and weaknesses. Finally, we review other potential methods from the general domain that could be applied to biomedicine to address bias and improve fairness.The bias of AIs in biomedicine can originate from multiple sources. Existing debiasing methods that focus on algorithms can be categorized into distributional or algorithmic.
Additional file 1 of “Standing on common ground” - a qualitative study of self-management support for patients with multimorbidity in primary health care
Creators: name: Freilich, Joel
name: Nilsson, Gunnar H.
name: Ekstedt, Mirjam
name: Flink, Maria
Publisher: name: figshare
Year: 2020
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy
subject: Computational Biology

description: Additional file 1. Examples of categories, subcategories, and codes/quotations color-coded by origin: black for physicians, green for RNs, blue for patients, and red for FCs.
Carmelo de Diego-Lora, Estúdios de Derecho Procesal Canónico (Posteriores al código de 1983). IV: Función pastoral y Justicia, Servicio de Publicaciones de la Universidad de Navarra, Pamplona 1990, 246 pp„ 25 X 145, ISBN 84-87146-42-2
Creators: name: Silva, Fernando
Publisher: name: Theologica
Year: 1993

description: Theologica, v. 28 n. 1 (1993): Nova evangelização, novos pastores | Santos portugueses
Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space
Creators: name: Taya, Akihito
name: Nishio, Takayuki
name: Morikura, Masahiro
name: Yamamoto, Koji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper proposes a fully decentralized federated learning (FL) scheme for Internet of Everything (IoE) devices that are connected via multi-hop networks. Because FL algorithms hardly converge the parameters of machine learning (ML) models, this paper focuses on the convergence of ML models in function spaces. Considering that the representative loss functions of ML tasks e.g, mean squared error (MSE) and Kullback-Leibler (KL) divergence, are convex functionals, algorithms that directly update functions in function spaces could converge to the optimal solution. The key concept of this paper is to tailor a consensus-based optimization algorithm to work in the function space and achieve the global optimum in a distributed manner. This paper first analyzes the convergence of the proposed algorithm in a function space, which is referred to as a meta-algorithm, and shows that the spectral graph theory can be applied to the function space in a manner similar to that of numerical vectors. Then, consensus-based multi-hop federated distillation (CMFD) is developed for a neural network (NN) to implement the meta-algorithm. CMFD leverages knowledge distillation to realize function aggregation among adjacent devices without parameter averaging. An advantage of CMFD is that it works even with different NN models among the distributed learners. Although CMFD does not perfectly reflect the behavior of the meta-algorithm, the discussion of the meta-algorithm's convergence property promotes an intuitive understanding of CMFD, and simulation evaluations show that NN models converge using CMFD for several tasks. The simulation results also show that CMFD achieves higher accuracy than parameter aggregation for weakly connected networks, and CMFD is more stable than parameter aggregation methods.