Negative / Null Result ReportOpen accessComputer Science
M. A. Anacleto, C. H. G. Bessa, F. A. Brito et al. · 2020 · arXiv
A model for an expanding noncommutative acoustic fluid analogous to a Friedmann-Robertson-Walker geometry is derived. For this purpose, a noncommutative Abelian Higgs model is considered in a (3+1)-dimensional spacetime. In this scenario, we analyze the motion of test particles in this fluid. The study considers a scalar test particle coupled to a quantized fluctuating massless scalar field. For all cases studied, we find corrections due to the noncommutativity in the mean squared velocity of the particles. The nonzero velocity dispersion for particles that are free to move on geodesics disagr
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S. Hubrig, S. P. Jarvinen, J. D. Alvarado-Gomez et al. · 2023 · arXiv
Numerous delta Sct and gamma Dor pulsators are identified in the region of the Hertzsprung-Russell diagram that is occupied by chemically peculiar magnetic Ap stars. The connection between delta Sct and gamma Dor pulsations and the magnetic field in Ap stars is however not clear: theory suggests for magnetic Ap stars some critical field strengths for pulsation mode suppression by computing the magnetic damping effect for selected p and g modes. To test these theoretical considerations, we obtained PEPSI spectropolarimetric snapshots of the typical Ap star HD340577, for which delta Sct-like pul
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Stephen R. Kane, Kaspar von Braun · 2008 · arXiv
The orbital parameters of extra-solar planets have a significant impact on the probability that the planet will transit the host star. This was recently demonstrated by the transit detection of HD 17156b whose favourable eccentricity and argument of periastron dramatically increased its transit likelihood. We present a study which provides a quantitative analysis of how these two orbital parameters effect the geometric transit probability as a function of period. Further, we apply these results to known radial velocity planets and show that there are unexpectedly high transit probabilities for
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P. Migliozzi, F. Terranova · 2003 · arXiv
In this paper we quantify the trade-off between setups optimized to be ancillary to Phase II Superbeams or Neutrino Factories and experiments tuned for maximal sensitivity to the subdominant terms of the neutrino transition probability at the atmospheric scale (``maximum discovery potential''). In particular, the theta(13) sensitivity is computed for both Phase I superbeams (JHF-SK and NuMI Off-Axis) and next generation long baseline experiments (ICARUS, OPERA and MINOS). It is shown that Phase I experiments cannot reach a sensitivity able to ground (or discourage in a definitive manner) the b
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Stephen R. Kane, Kaspar von Braun · 2008 · arXiv
The orbital parameters of extra-solar planets have a significant impact on the probability that the planet will transit the host star. This was recently demonstrated by the transit detection of HD 17156b whose favourable eccentricity and argument of periastron dramatically increased its transit likelihood. We present a study which provides a quantitative analysis of how these two orbital parameters affect the geometric transit probability as a function of period. Further, we apply these results to known radial velocity planets and show that there are unexpectedly high transit probabilities for
View details →Negative / Null Result ReportOpen accessComputer Science
Massimo Porrati, Nicholas Penthorn, John Rooney et al. · 2018 · arXiv
In an externally driven multilevel quantum system observation that the NEXT jump has not yet happened affects its future development. In previous work [Phys. Rev. A36, 929 (1987)] it was shown that this class of measurement makes it possible to observe remarkably long dark intervals -- or intermittency -- in the atomic fluorescence of an atom with 3 or more levels. Those calculations were carried out when the driven oscillations or Rabi flopping between the ground state and a strongly fluorescing state were fast compared to its lifetime. In systems with solid state Qubits the accessible parame
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Christian Trenkel, Steve Kemble, Neil Bevis et al. · 2010 · arXiv
We suggest that LISA Pathfinder could be used to subject TEVES, and in particular the non-relativistic MOND phenomenology it incorporates, to a direct, controlled experimental test, in just a few years' time. The basic concept is to fly LISA Pathfinder through the region around the Sun-Earth saddle point, following its nominal mission, in order to look for anomalous gravity gradients. We examine various strategies to reach the saddle point, and conclude that the preferred strategy, resulting in relatively short transfer times of order one year, probably involves a lunar fly-by. We present robu
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Chao-Qiang Geng, Chia-Wei Liu, Jiabao Zhang · 2023 · arXiv
We explore a new approach to search for a low-mass $Z^{\prime}$ particle through $J/ψ$ decays by identifying its existence through parity-violating phenomena in the isospin-violating final states of $Λ\overlineΣ^{0}$ and the corresponding charge conjugated states of $\overlineΛΣ^{0}$. Our investigation centers on a generation-independent and leptophobic $Z^{\prime}$ with its mass below 10 GeV. Given the present experimental conditions at the Beijing Spectrometer III~(BESIII) and the anticipated opportunities at the Super Tau Charm Factory~(STCF), we conduct Monte-Carlo simulations to predict p
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Andrew Fowlie · 2014 · arXiv
The absence of supersymmetry or other new physics at the Large Hadron Collider (LHC) has lead many to question naturalness arguments. With Bayesian statistics, we argue that natural models are most probable and that naturalness is not merely an aesthetic principle. We calculate a probabilistic measure of naturalness, the Bayesian evidence, for the Standard Model (SM) with and without quadratic divergences, confirming that the SM with quadratic divergences is improbable. We calculate the Bayesian evidence for the Constrained Minimal Supersymmetric Standard Model (CMSSM) with naturalness priors
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M. Fukugita, M. Kawasaki · 1993 · arXiv
We investigate reheating of the universe by early formation of stars and quasars in the hierarchical clustering scheme of cold dark matter scenario, with perturbation fluctuations normalized by the COBE data. It is found that ionizing uv flux from OB stars with the abundance given by the standard initial mass function is strong enough to ionize the universe from $z\approx 30$ to the present epoch, if 1--2\% of the collapsed baryons go into stars. This lessens significantly the CMB anisotropies at a small angular scale. Reionization also increases the Jeans mass to $M_{\rm luminous}\approx 10^9
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Eugene A. Lim, Dennis Simon · 2011 · arXiv
In this paper, we investigate the utility of Minkowski Functionals as a probe of cold/hot disk-like structures in the CMB. In order to construct an accurate estimator, we resolve a long-standing issue with the use of Minkowski Functionals as probes of the CMB sky -- namely that of systematic differences ("residuals") when numerical and analytical MF are compared. We show that such residuals are in fact by-products of binning, and not caused by pixelation or masking as originally thought. We then derive a map-independent estimator that encodes the effects of binning, applicable to beyond our pr
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Ciarán Walsh, Emilio Barkett · 2026 · arXiv
Large language models are increasingly used as behavioral simulators, but it remains unclear when their outputs reflect human-like cognitive mechanisms rather than prompt-sensitive surface patterns. We study this question through the realization effect, a well-characterized finding in behavioral economics in which risk-taking differs systematically after paper versus realized gains and losses. We evaluate LLM behavior at three levels: prompt-only behavioral sensitivity, linear readout of internal representations, and causal control via activation steering. Prompt-only results show systematic c
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Eugene Chon, Nicholas Stewart, null null et al. · 2020 · John Heinrichs Scholarly & Creative Activities Day
While major changes to chromosomal form is generally deleterious, karyotypes are not static. Major chromosomal rearrangements contribute to genetic isolation and divergence within and between species. As mechanisms that drive these…
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Willow Ludwig, Lauren Stallbaumer, null null et al. · 2023 · John Heinrichs Scholarly & Creative Activities Day
Introduction: Stuttering is a communication disorder that may present difficulties such as producing fluent speech, having a fear of speaking, and experiencing limited inclusion, which. greatly impacts the quality of life and education of…
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Clayton Beutler, Mason Robbins, null null et al. · 2023 · John Heinrichs Scholarly & Creative Activities Day
Baseball is said to be the oldest sport in America and considered to be America’s past time. Since the beginning, significant amounts of statistics and data have been recorded to examine a team’s wins, batting average, on-base percentage,…
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Hope Schuman, Mason Ibarra, null null et al. · 2023 · John Heinrichs Scholarly & Creative Activities Day
COVID-19, also known as coronavirus disease of 2019, is a virus that was first discovered in December of 2019. Symptoms of COVID-19 feel much like the flu, a cold, and pneumonia. In this report we analyzed how a country's gross domestic…
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Alicia Utley, Christine Hober, null null et al. · 2020 · John Heinrichs Scholarly & Creative Activities Day
Obesity is becoming a widely known health disparity, affecting over 300 million people worldwide. Obesity is associated with multiple comorbidities, many of which are categorized as leading causes of death in the United States. Citizens in…
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Steven Bolin, Brooke Mann, null null et al. · 2019 · John Heinrichs Scholarly & Creative Activities Day
Mental health stigma is defined as stereotypes and prejudice resulting from misconceptions about mental illness (Corrigan Watson, 2002 Boor 1978 found simulated college voters cast fewer votes for a candidate when it was known the…
View details →Negative / Null Result ReportOpen accessMathematics
Alessandro Arsie, Emilio Frazzoli · 2006 · arXiv
In this paper we consider a class of dynamic vehicle routing problems, in which a number of mobile agents in the plane must visit target points generated over time by a stochastic process. It is desired to design motion coordination strategies in order to minimize the expected time between the appearance of a target point and the time it is visited by one of the agents. We propose control strategies that, while making minimal or no assumptions on communications between agents, provide the same level of steady-state performance achieved by the best known decentralized strategies. In other words
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Martiren, Llaguno-Rubio, Fiori-Chincaro et al. · 2026 · Journal of clinical and experimental dentistry
To evaluate the morphological characteristics of hypercementosis and its association with local factors using cone beam computed tomography (CBCT) in a population from Uruguay. This observational, cross-sectional, retrospective study…
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I. Pallecchi, L. Pellegrino, N. Banerjee et al. · 2010 · arXiv
We probe spin transport in Cu_{2}O by measuring spin valve effect in La_{0.7}Sr_{0.3}MnO_{3}/Cu_{2}O/Co and La_{0.7}Sr_{0.3}MnO_{3}/Cu_{2}O/La_{0.7}Sr_{0.3}MnO_{3} epitaxial heterostructures. In La_{0.7}Sr_{0.3}MnO_{3}/Cu_{2}O/Co systems we find that a fraction of out-of-equilibrium spin polarized carrier actually travel across the Cu_{2}O layer up to distances of almost 100 nm at low temperature. The corresponding spin diffusion length dspin is estimated around 40 nm. Furthermore, we find that the insertion of a SrTiO_{3} tunneling barrier does not improve spin injection, likely due to the ma
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Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo · 2025 · arXiv
Large Language Models (LLMs) have been shown to achieve impressive results for many reasoning-based NLP tasks, suggesting a degree of deductive reasoning capability. However, it remains unclear to which extent LLMs, in both informal and autoformalisation methods, are robust on logical deduction tasks. Moreover, while many LLM-based deduction methods have been proposed, a systematic study that analyses the impact of their design components is lacking. Addressing these two challenges, we propose the first study of the robustness of formal and informal LLM-based deductive reasoning methods. We de
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Dirk Reith, Thomas Huber, Florian Mueller-Plathe et al. · 2000 · arXiv
This work addresses the question of whether it is possible to define simple pair-wise interaction terms to approximate free energies of proteins or polymers. Rather than ask how reliable a potential of mean force is, one can ask how reliable it could possibly be. In a two-dimensional, infinite lattice model system one can calculate exact free energies by exhaustive enumeration. A series of approximations were fitted to exact results to assess the feasibility and utility of pair-wise free energy terms. Approximating the true free energy with pair-wise interactions gives a poor fit with little t
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Karunia Putra Wijaya, Dipo Aldila · 2017 · arXiv
Investigating the seasonality of disease incidences is very important in disease surveillance in regions with periodical climatic patterns. In lieu of the paradigm about disease incidences varying seasonally in line with meteorology, this work seeks to determine how well standard epidemic models can capture such seasonality for better forecasts and optimal futuristic interventions. Once incidence data are assimilated by a periodic model, asymptotic analysis in relation to the long-term behavior of the disease occurrences can be performed using the classical Floquet theory, which explains the s
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Lane G. Gunderman · 2018 · arXiv
In this paper, we prove how to extend a subset of quantum stabilizer codes into a qudit hybrid code storing $\log_2 p$ classical bits over a qudit space with dimension $p$, with $p$ prime. Our proof also gives an explicit procedure for finding the entire collection of stabilizer algebras for all of the subcodes of the hybrid code. This allows extra classical information to be transmitted without having to arduously search for additional codes and their associated codewords, and also provides a first lower bound to the amount of classical information able to be transmitted in a qudit hybrid cod
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Asahi Ushio, Jose Camacho-Collados · 2024 · arXiv
In machine learning, temporal shifts occur when there are differences between training and test splits in terms of time. For streaming data such as news or social media, models are commonly trained on a fixed corpus from a certain period of time, and they can become obsolete due to the dynamism and evolving nature of online content. This paper focuses on temporal shifts in social media and, in particular, Twitter. We propose a unified evaluation scheme to assess the performance of language models (LMs) under temporal shift on standard social media tasks. LMs are tested on five diverse social m
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Greta Laage, Emma Frejinger, Andrea Lodi et al. · 2021 · arXiv
Airlines and other industries have been making use of sophisticated Revenue Management Systems to maximize revenue for decades. While improving the different components of these systems has been the focus of numerous studies, estimating the impact of such improvements on the revenue has been overlooked in the literature despite its practical importance. Indeed, quantifying the benefit of a change in a system serves as support for investment decisions. This is a challenging problem as it corresponds to the difference between the generated value and the value that would have been generated keepi
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F. de Jong, H. Lenske · 1997 · arXiv
We present a calculation of nuclear matter which goes beyond the usual quasi-particle approximation in that it includes part of the off-shell dependence of the self-energy in the self-consistent solution of the single-particle spectrum. The spectral function is separated in contributions for energies above and below the chemical potential. For holes we approximate the spectral function for energies below the chemical potential by a $δ$-function at the quasi-particle peak and retain the standard form for energies above the chemical potential. For particles a similar procedure is followed. The a
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Misa Fujio · 2010 · Linguistic Proceedings Series
This study investigated the longitudinal improvement in fluency of three Japanese participants who studied at a graduate school in the UK. In addition to quantitative analysis of videotaped conversations focusing on core components of…
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Arpit Agarwal · 2021 · arXiv
Predicting the outcome of liquid droplet collisions is an extensively studied phenomenon but the current physics based models for predicting the outcomes are poor (accuracy $\approx 43\%$). The key weakness of these models is their limited complexity. They only account for 3 features while there are many more relevant features that go unaccounted for. This limitation of traditional models can be easily overcome through machine learning modeling of the problem. In an ML setting this problem directly translates to a classification problem with 4 classes. Here we compile a large labelled dataset
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