cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Impact of high energy beam tunes on the sensitivities to the standard unknowns at DUNE
Creators: name: Rout, Jogesh
name: Roy, Samiran
name: Masud, Mehedi
name: Bishai, Mary
name: Mehta, Poonam
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Even though neutrino oscillations have been conclusively established, there are a few unanswered questions pertaining to leptonic Charge Parity violation (CPV), mass hierarchy (MH) and $θ_{23}$ octant degeneracy. Addressing these questions is of paramount importance at the current and future neutrino experiments including the Deep Underground Neutrino Experiment (DUNE) which has a baseline of 1300 km. In the standard mode, DUNE is expected to run with a {\textit{low energy}} (LE) tuned beam which peaks around the first oscillation maximum ($2-3$ GeV) (and then sharply falls off as we go to higher energies). However, the wide band nature of the beam available at long baseline neutrino facility (LBNF) allows for the flexibility in utilizing beam tunes that are well-suited at higher energies as well. In this work, we utilize a beam that provides high statistics at higher energies which is referred to as the {\textit{medium energy}} (ME) beam. This opens up the possibility of exploring not only the usual oscillation channels but also the $ν_μ \to ν_τ$ oscillation channel which was otherwise not accessible. Our goal is to find an optimal combination of beam tune and runtime (with the total runtime held fixed) distributed in neutrino and antineutrino mode that leads to an improvement in the sensitivities of these parameters at DUNE. In our analysis, we incorporate all the three channels ($ν_μ \to ν_{e}, ν_μ \to ν_μ, ν_μ \to ν_τ$) and develop an understanding of their relative contributions in sensitivities at the level of $Δχ^2$. Finally, we obtain the preferred combination of runtime using both the beam tunes as well as neutrino and antineutrino mode that lead to enhanced sensitivity to the current unknowns in neutrino oscillation physics i.e., CPV, MH and $θ_{23}$ octant.
description: 15 pages, 10 figures. v2 : to appear in Phys. Rev. D
THE EFFECTIVENESS OF A FUNCTIONAL RESPIRATORY REEDUCATION PROGRAM IN PEOPLE WITH LUNG DIS-EASE: A SYSTEMATIC LITERATURE REVIEW
Creators: name: Tavares, Cátia
name: Rosa, Patrícia
name: Vieira, João
name: Fábio Antunes
name: Ferreira, Rogério Manuel Ferrinho
name: De Sousa, Luís Manuel Mota
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Medicine and Health Sciences
subject: # Breathing Exercises
subject: # Pulmonary Rehabilitation
subject: # Rehabilitation Nursing
subject: # Respiratory tract diseases

description: To analyze the effectiveness of rehabilitation nursing interventions, within the scope of respira-tory functional reeducation programs, which allow the improvement of respiratory function in people with lung disease
Reconstructing partonic kinematics at colliders with Machine Learning
Creators: name: Rentería-Estrada, David F.
name: Hernández-Pinto, Roger J.
name: Sborlini, German F. R.
name: Zurita, Pia
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2021
Subjects: p p: scattering
quantum electrodynamics: correction
hadron: structure
photon: direct production
hadron: production
higher-order: 1
higher-order: 0
kinematics
correlation
Monte Carlo
parton: scattering
quantum chromodynamics: correction
hard scattering
computer
data analysis method
factorization: collinear
parton: distribution function
transverse momentum: momentum spectrum
momentum

description: In the context of high-energy physics, a reliable description of the parton-level kinematics plays a crucial role for understanding the internal structure of hadrons and improving the precision of the calculations. Here, we study the production of one hadron and a direct photon, including up to Next-to-Leading Order Quantum Chromodynamics and Leading-Order Quantum Electrodynamics corrections. Using a code based on Monte-Carlo integration, we simulate the collisions and analyze the events to determine the correlations among measurable and partonic quantities. Then, we use these results to feed three different Machine Learning algorithms that allow us to find the momentum fractions of the partons involved in the process, in terms of suitable combinations of the final state momenta. Our results are compatible with previous findings and suggest a powerful application of Machine-Learning to model high-energy collisions at the partonic-level with high-precision.
Comparison of Agricultural Support in Canada, Mexico, and the United States
Creators: name: Nelson, Frederick J.
name: Simone, Mark V.
name: Valdes, Constanza M
name: Nelson, Frederick J.
name: Simone, Mark V.
name: Valdes, Constanza M
Publisher: name: Unknown
Year: 1995
Subjects: subject: Agricultural and Food Policy
subject: Crop Production/Industries
subject: International Relations/Trade
subject: Livestock Production/Industries
subject: Commodity programs
subject: producer subsidy equivalents
subject: NAFTA countries
subject: price support
subject: direct payments

description: Canadian support to agriculture averaged 35 percent of the value of agricultural gross receipts during 1982-92, compared with 23 percent in the United States and 21 percent in Mexico. Canadian support increased 6 percent from 1988 to 1992, while U.S. support declined 18 percent and Mexican support declined 63 percent. Average annual support in these countries over 1982-92 varied from negative for Mexican dairy, beef, and egg producers, up to 57 percent or more of receipts for Canadian dairy, U.S. sugar, and Mexican corn and barley
The DEEP2 Galaxy Redshift Survey: The Evolution of Void Statistics from z~1 to z~0
Creators: name: Conroy, Charlie
name: Coil, Alison L.
name: White, Martin
name: Newman, Jeffrey A.
name: Yan, Renbin
name: Cooper, Michael C.
name: Gerke, Brian F.
name: Davis, Marc
name: Koo, David
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present measurements of the void probability function (VPF) at z~1 using data from the DEEP2 Redshift Survey and its evolution to z~0 using data from the Sloan Digital Sky Survey (SDSS). We measure the VPF as a function of galaxy color and luminosity in both surveys and find that it mimics trends displayed in the two-point correlation function, $ξ$; namely that samples of brighter, red galaxies have larger voids (i.e. are more strongly clustered) than fainter, blue galaxies. We also clearly detect evolution in the VPF with cosmic time, with voids being larger in comoving units at z~0. We find that the reduced VPF matches the predictions of a `negative binomial' model for galaxies of all colors, luminosities, and redshifts studied. This model lacks a physical motivation, but produces a simple analytic prediction for sources of any number density and integrated two-point correlation function, \barξ. This implies that differences in the VPF across different galaxy populations are consistent with being due entirely to differences in the population number density and \barξ. The robust result that all galaxy populations follow the negative binomial model appears to be due to primarily to the clustering of dark matter halos. The reduced VPF is insensitive to changes in the parameters of the halo occupation distribution, in the sense that halo models with the same \barξ will produce the same VPF. For the wide range of galaxies studied, the VPF therefore does not appear to provide useful constraints on galaxy evolution models that cannot be gleaned from studies of \barξ alone. (abridged)
description: 17 pages, 15 figures, ApJ accepted
Finite temperature fluctuation-induced order and responses in magnetic topological insulators
Creators: name: Scholten, Marius
name: Facio, Jorge I.
name: Ray, Rajyavardhan
name: Eremin, Ilya M.
name: Brink, Jeroen van den
name: Nogueira, Flavio S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We derive an effective field theory model for magnetic topological insulators and predict that a magnetic electronic gap persists on the surface for temperatures above the ordering temperature of the bulk. Our analysis also applies to interfaces of heterostructures consisting of a ferromagnetic and a topological insulator. In order to make quantitative predictions for MnBi$_2$Te$_4$, and for EuS-Bi$_2$Se$_3$ heterostructures, we combine the effective field theory method with density functional theory and Monte Carlo simulations. For MnBi$_2$Te$_4$ we predict an upwards Néel temperature shift at the surface up to $15 \%$, while the EuS-Bi$_2$Se$_3$ interface exhibits a smaller relative shift. The effective theory also predicts induced Dzyaloshinskii-Moriya interactions and a topological magnetoelectric effect, both of which feature a finite temperature and chemical potential dependence.
description: v2: published version, LaTeX 15 pages, 5 figures
Isotropic-nematic transition in liquid crystals confined between rough walls
Creators: name: Cheung, David L
name: Schmid, Friederike
Publisher: name: arXiv
Year: 2005
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: The effect of rough walls on the phase behaviour of a confined liquid crystal (LC) fluid is studied using constant pressure Monte Carlo simulations. The LC is modelled as a fluid of soft ellipsoidal molecules and the rough walls are represented as a hard wall with a number of molecules randomly embedded in them. It is found that the isotropic-nematic (IN) transition is shifted to higher pressures for rougher walls.
description: 4 pages, 4 figures Accepted in Chemical Physics Letters
Association of baseline physical activity participation with participant characteristics and outcomes following education and exercise-therapy in people with knee osteoarthritis: A GLA:D® Australia prospective cohort study
Creators: name: Bell, Emily
name: Ferraz Pazzinatto, Marcella
name: Wallis, Jason
name: Kemp, Joanne
name: Skou, ST
name: O'Halloran, Paul
name: Crossley, Kay
name: De-Oliveira-Silva, Danilo
name: Semciw, Adam
name: Dundules, Karen
name: Barton, Christian
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 4207
subject: Sports science and exercise
classificationCode: 4205
subject: Nursing
subject: FOS: Health sciences
classificationCode: 320223
subject: Rheumatology and arthritis

description: Objectives: To investigate whether participants with knee osteoarthritis classified as ‘more’ or ‘less’ physically active at baseline differ in characteristics and/or outcomes at baseline and at 3 and 12 months following the commencement of an education and exercise-therapy program. Methods: Prospective cohort study using the GLA:D® Australia registry. The University of California, Los Angeles Physical Activity Scale (UCLA) participant data dichotomised as ‘more’ (≥7) or ‘less’ active (≤6). Groups were compared using chi-square (obesity [baseline only], comorbidity prevalence, medication consumption, fear of damage from physical activity); and linear mixed model regression (12-item Injury Osteoarthritis Outcome Score [KOOS-12], pain [visual analogue scale], health-related quality of life [QoL] [EQ-5D-5L]) statistics, adjusted for age, sex and baseline physical activity at 3 and 12 months. Results: We included 1059 participants (70% female). At baseline, 267 (25%) were classified as ‘more’ active, increasing to 29% and 30% at 3 and 12 months, respectively. At baseline, compared to the ‘less’ active group, the ‘more’ active group had a lower proportion of participants who were obese (‘more’ = 21% vs. ‘less’ = 44%), had comorbidities (58% vs. 74%) and consumed medications (71% vs. 85%); lower pain intensity (37 vs. 47); and higher KOOS-12 (59 vs. 50), and health-related QoL (0.738 vs. 0.665) scores. When accounting for age, sex and baseline physical activity, improvements seen in knee-related burden and health-related QoL were not different between groups at 3 or 12 months. Compared to the ‘less’ active group, the proportion of participants not consuming medication remained higher in the ‘more’ active group at 3 (‘more’ 45% vs. ‘less’ 28%) and 12 months (43% vs. 32%). Conclusion: ‘More’ active people with knee osteoarthritis were less likely to be obese, had fewer comorbidities, lower medication consumption, knee-related burden and pain intensity, and higher health-related QoL than ‘less’ active participants at all timepoints.
Effective picture of bubble expansion
Creators: name: Cai, Rong-Gen
name: Wang, Shao-Jiang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Recently the thermal friction on an expanding bubble from the cosmic first-order phase transition has been calculated to all orders of the interactions between the bubble wall and thermal plasma, leading to a $γ^2$-scaling instead of the previously estimated $γ^1$-scaling for the thermal friction exerted on a fast-moving bubble wall with a Lorentz factor $γ$. We propose for the first time the effective equation of motion (EOM) for an expanding bubble wall in the presence of an arbitrary $γ$-scaling friction to compute the efficiency factor from bubble collisions, which, in the case of $γ^2$-scaling friction, is found to be larger than the recently updated estimation when the bubble walls collide after starting to approach a constant terminal velocity, leading to a slightly larger signal of the gravitational waves background from bubble collisions due to its quadratic dependence on the bubble collision efficiency factor, although the $γ^2$-scaling friction itself has already suppressed the contribution from bubble collisions compared to that with $γ^1$-scaling friction. We also suggest a phenomenological parameterization for the out-of-equilibrium term in the Boltzmann equation that could reproduce the recently found $(γ^2-1)$-scaling of the friction term in the effective EOM of an expanding bubble wall, which merits further study in future numerical simulations of bubble expansion and collisions.
description: v1, 26 pages, 2 figures; v2, typos corrected and references added; v3, minor improvements in presentation
CP Violation in Supersymmetric Theories: stop2 -> stop1 tau- tau+
Creators: name: Kiers, Ken
name: Szynkman, Alejandro
name: London, David
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Supersymmetric (SUSY) theories include many new parameters, some of which are CP-violating. Assuming that SUSY is found at a future high-energy collider, we examine the decay stop2 -> stop1 tau- tau+ with an eye to obtaining information about the new CP phases. We show that there are two CP-violating asymmetries which can be large in some regions of the SUSY parameter space. These involve measuring one or both of the tau spins. These asymmetries are particularly sensitive to phi_At, the phase of the trilinear coupling A_t.
description: 23 pages, revtex, 5 figures (included). Several pieces of text added w.r.t. constraints from electric dipole moments and rephasing invariance. Several references added. Paper to be published in Phys. Rev. D
An Artificial Intelligence-Driven Agent for Real-Time Head-and-Neck IMRT Plan Generation using Conditional Generative Adversarial Network (cGAN)
Creators: name: Li, Xinyi
name: Sheng, Yang
name: Zhang, Jiahan
name: Wang, Wentao
name: Yin, Fang-Fang
name: Wu, Qiuwen
name: Ge, Yaorong
name: Wu, Q. Jackie
name: Wang, Chunhao
Publisher: name: arXiv
Year: 2020
Subjects: subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: Purpose: To develop an Artificial Intelligence (AI) agent for fully-automated rapid head and neck (H&N) IMRT plan generation without time-consuming inverse planning.$$$$ Methods: This AI agent was trained using a conditional Generative Adversarial Network architecture. The generator, PyraNet, is a novel Deep Learning network that implements 28 classic ResNet blocks in pyramid-like concatenations. The discriminator is a customized 4-layer DenseNet. The AI agent first generates customized 2D projections at 9 template beam angles from 3D CT volume and structures of a patient. These projections are then stacked as 4D inputs of PyraNet, from which 9 radiation fluence maps are generated simultaneously. Finally, the predicted fluence maps are imported into a commercial treatment planning system (TPS) for plan integrity checks. The AI agent was built and tested upon 231 oropharyngeal plans from a TPS plan library. Only the primary plans in the sequential boost regime were studied. A customized Harr wavelet loss was adopted for fluence map comparison. Isodose distributions in test AI plans and TPS plans were qualitatively evaluated. Key dosimetric metrics were statistically compared.$$$$ Results: All test AI plans were successfully generated. Isodose gradients outside of PTV in AI plans were comparable with TPS plans. After PTV coverage normalization, $D_{mean}$ of parotids and oral cavity in AI plans and TPS plans were comparable without statistical significance. AI plans achieved comparable $D_{max}$ at 0.01cc of brainstem and cord+5mm without clinically relevant differences, but body $D_{max}$ was higher than the TPS plan results. The AI agent needs ~3s per case to predict fluence maps.$$$$ Conclusions: The developed AI agent can generate H&N IMRT plans with satisfying dosimetry quality. With rapid and fully automated implementation, it holds great potential for clinical applications.
description: Withdraw for internal review
Galactic Substructure and Direct Detection of Dark Matter
Creators: name: Kamionkowski, Marc
name: Koushiappas, Savvas M.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We study the effects of substructure in the Galactic halo on direct detection of dark matter, on searches for energetic neutrinos from WIMP annihilation in the Sun and Earth, and on the enhancement in the WIMP annihilation rate in the halo. Our central result is a probability distribution function (PDF) P(ρ) for the local dark-matter density. This distribution must be taken into account when using null dark-matter searches to constrain the properties of dark-matter candidates. We take two approaches to calculating the PDF. The first is an analytic model that capitalizes on the scale-invariant nature of the structure--formation hierarchy in order to address early stages in the hierarchy (very small scales; high densities). Our second approach uses simulation-inspired results to describe the PDF that arises from lower-density larger-scale substructures which formed in more recent stages in the merger hierarchy. The distributions are skew positive, and they peak at densities lower than the mean density. The local dark-matter density may be as small as 1/10th the canonical value of ~ 0.4 GeV/cm^3, but it is probably no less than 0.2 GeV/cm^3.
description: 11 pages, 3 figures, Replaced with version accepted for publication in Phys. Rev. D
Kardinal Lorscheider, Aloisio: Parteinahme für die Armen
Creators: name: Garve, Christian
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 35 Nr. 1 (1986): Ökumenische Rundschau, Band 35, Heft 1
Automated crater detection with human level performance
Creators: name: Lee, Christopher
name: Hogan, James
Publisher: name: arXiv
Year: 2020
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Crater cataloging is an important yet time-consuming part of geological mapping. We present an automated Crater Detection Algorithm (CDA) that is competitive with expert-human researchers and hundreds of times faster. The CDA uses multiple neural networks to process digital terrain model and thermal infra-red imagery to identify and locate craters across the surface of Mars. We use additional post-processing filters to refine and remove potential false crater detections, improving our precision and recall by 10% compared to Lee (2019). We now find 80% of known craters above 3km in diameter, and identify 7,000 potentially new craters (13% of the identified craters). The median differences between our catalog and other independent catalogs is 2-4% in location and diameter, in-line with other inter-catalog comparisons. The CDA has been used to process global terrain maps and infra-red imagery for Mars, and the software and generated global catalog are available at https://doi.org/10.5683/SP2/CFUNII.
description: 18 pages, 6 figures, 1 table. In press at Computers & Geosciences
Non-Abelian Tensors with Consistent Interactions
Creators: name: Nishino, Hitoshi
name: Rajpoot, Subhash
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present a systematic method for constructing consistent interactions for a tensor field of an arbitrary rank in the adjoint representation of an arbitrary gauge group in any space-time dimensions. This method is inspired by the dimensional reduction of Scherk-Schwarz, modifying field strengths with certain Chern-Simons forms, together with modified tensorial gauge transformations. In order to define a consistent field strength of a r-rank tensor B_{μ_1...μ_r}^I in the adjoint representation, we need the multiplet (B_{μ_1...μ_r}^I, B_{μ_1...μ_{r-1}}^{I J}, ..., B_μ^{I_1...I_r}, B^{I_1... I_{r+1}}). The usual problem of consistency of the tensor field equations is circumvented in this formulation.
description: 15 pages, no figures
Expression of PTEN and pAKT in Non-Small Cell Lung Cancer
Creators: name: Kayser, MD
name: Antfang, Carina
name: Csanadi, Agnes
Publisher: name: Diagnostic Pathology
Year: 2019

description: Background: Alterations in the PTEN-AKT pathway play important roles indifferent solid carcinomas, e. g. of the breast, prostate and GI-tract. Since contradictory results have been reported for lung cancer mostly studying only one of the two proteins, we aim to elucidate the biological effects of alterations in this pathway in a large and well characterized cohort of non-small cell lung cancer. Material and Methods: We established an immunohistochemical double stain for PTEN and p-AKT in non-small cell lung carcinomas (NSCLC). This was applied to tissue-microarrays (TMA) including 44 patients. Results: Our results indicate, that not only alterations in one marker are of biological significance but rather the combination of PTEN-loss and p-AKT overexpression, as well as the intracellular localization of the protein staining. Patients with low-grade histological differentiation, negative lymphonodal status and PTEN-expression showed a significant better overall survival. Conclusion: We conclude, that PTEN-(over-)expression leads to p-AKT downregulation with better overall survival in nodal negative NSCLC patients. Virtual Slides:
description: Diagnostic Pathology, Vol 5 No 1 (2019): Vol. 5 No. 1 2019
The Sway of Specialty Malts and Mash pH on Iron Ion Speciation and the Reducing Power of Wort
Creators: name: Van Mieghem, Thijs
name: Delvaux, Filip
name: Dekleermaeker, Sven
name: Neven, Hedwig
name: Britton, Scott J.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Infectious Diseases
subject: FOS: Health sciences

description: In contrast to other fermented beverages, beer quality generally diminishes over time. This diminishing quality hinges heavily on the oxidative degradation of beer compounds by reactive oxygen species (ROS), whose formation is in part catalyzed by Fe(II) ions via the Fenton and Haber-Weiss reactions. Consequently, ROS accumulation throughout the brewing process results in oxidative instability and accelerates numerous beer staling reactions, like those frequently associated with the onset of unwanted flavors, aromas, and an unaesthetic appearance. However, despite its critical importance to beer stability, the oxidative state of iron in wort and finished beer continues to be poorly characterized. In this investigation, the influence of kilned specialty malt utilization on total free iron and iron ion speciation in wort was determined by EBC Method 9.13.1. Further, the reducing power of each wort was determined via 2,2-diphenyl-1-picrylhydrazyl (DPPH). Here, we demonstrate that kilned specialty malt utilization influences total iron concentration, the balance between Fe(II) and Fe(III) ion species, and the reducing power of wort. Furthermore, our results reveal a negative correlation between mash pH and total iron concentration in finished wort. These results indicate that beer’s oxidative flavor stability may be improved by using lower kilned malts and adjusting mash pH.
On the nature of stopping a voluntary action
Creators: name: McGarry, James Timothy
Publisher: name: University of British Columbia
Year: 2009

description: The stopping of an earlier intended action is best explained in a race between a go process and a stop process (Logan & Cowan, 1984). The finish line, to which each process races, has been likened to a point of no return, specifically one that marks the onset of a final ballistic (unstoppable) process. Of note is the typical relation of reduced go probabilities and faster go latencies at shorter signal onset asynchronies (SOAs). (The SOA is the time interval between presentation of the go signal and presentation of the stop signal.) We report, in some cases, sub-maximal surface electromyograms (EMGs) at onset when trying to stop a maximal speeded action. These data indicate reduced synaptic drive to reach the motor pools as a result of earlier stopping effects and, as such, hold important implications for a theory of control. First, we interpret these data to suggest that the point of no return is phantom. Sub-maximal EMGs indicate a point in the control stream beyond which some EMG will be later observed but, importantly, they fail to mark the onset of a final ballistic process if, once breached, the same process remains subject to further effects of stopping. The alternative interpretation, however, that of a final ballistic process that receives sub-maximal input which results in sub-maximal output (i.e., EMG onset) cannot be ruled out from these data. We used the Hoffmann (H) reflex to probe further the mechanism of control for stopping a voluntary action. The H-reflex, an involuntary reflex that is taken as an index of spinal control, is relevant to the control of stopping because it is typically facilitated a short time before EMG onset. In other words, it provides a window of control within which a final ballistic process would otherwise be expected to locate. Thus, we interpret the effects of stopping on the H-reflex before EMG onset as strong evidence against a final ballistic process. Second, while the race model can explain the relation between the go probabilities, the go latencies and the SOAs, it fails to explain the sub-maximal EMG onsets that describe that same action in some cases. We submit a mechanism of excitatory-inhibitory interaction at all times up to the motor pool to explain both sets of empirical data. The viability of this theory is demonstrated using computer analyses.
ระบบประเมินความน่าเชื่อถือข่าวสารจากทวิตเตอร์แบบรีลไทม์
Creators: name: นำพล  เพชรผดุง
name: กานดา  สายแก้ว
Publisher: name: Industrial Technology Lampang Rajabhat University
Year: 2015
Subjects: Social media, Twitter, Information credibility

description: 2, 8, วารสารวิชาการคณะเทคโนโลยีอุตสาหกรรม  มหาวิทยาลัยราชภัฏลำปาง
An equation-free approach to coupled oscillator dynamics: the Kuramoto model example
Creators: name: Moon, Sung Joon
name: Kevrekidis, Ioannis G.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: We present an equation-free multi-scale approach to the computational study of the collective dynamics of the Kuramoto model [{\it Chemical Oscillations, Waves, and Turbulence}, Springer-Verlag (1984)], a prototype model for coupled oscillator populations. Our study takes place in a reduced phase space of coarse-grained "observables" of the system: the first few moments of the oscillator phase angle distribution. We circumvent the derivation of explicit dynamical equations (approximately) governing the evolution of these coarse-grained macroscopic variables; instead we use the {\it equation-free framework} [Kevrekidis {\it et al.}, {\it Comm. Math. Sci.} {\bf 1}(4), 715 (2003)] to computationally solve these equations without obtaining them in closed form. In this approach, the numerical tasks for the conceptually existing but unavailable coarse-grained equations are implemented through short bursts of appropriately initialized simulations of the "fine-scale", detailed coupled oscillator model. Coarse projective integration and coarse fixed point computations are illustrated.
description: submitted to the {\it International Journal of Bifurcations and Chaos}
Unusual Profile of Thiol Precursors in Special Malts: First Evidence of Chemical Glutathione-/γGluCys- and CysGly-/Cys- Conversions
Creators: name: Chenot, Cécile
name: Collin, Sonia
name: Suc, Lucas
name: Roland, Aurélie
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Polyfunctional thiols (PFTs) present in beers or in wines are known to be released by yeast, during fermentation, from bound forms originally found in raw materials. In the brewing field, huge amounts of S-conjugates have been evidenced in several dual-purpose hop varieties. Malt, however, being the major raw material of beer, could also be a significant contributor of PFTs to beer (cysteinylated, Cys- and glutathionylated, G- precursors of 3SHol already identified in a few samples of barley and malt). Forty-two barley malts from 2 to 1500 EBC and five other malted cereals were screened to characterize their thiol precursor profile (G- and Cys- as well as dipeptidic bound CysGly- and γGluCys- forms of 3SHol). First, it was confirmed that G-3SHol was ubiquitous reaching up to 320 µg/kg in some samples, whereas Cys-3SHol remained at a trace level of up to 13 µg/ kg. Moreover, for the first time, dipeptidic bound forms of 3SHol were evidenced in malt (up to 10 and 11 µg/kg for CysGly-3SHol and γGluCys-3SHol, respectively). In pale malts, the level of the CysGly- form was shown to be proportional to that of G-3SHol (in situ γGT during the malting process). This appeared to be no longer true for special malts (ranging from 5 to 45°EBC), whose CysGly-3SHol level correlated instead with Cys-3SHol (suspected chemical conversion from the dipeptide conjugate). As for γGluCys-3SHol, it was only found in the special barley malts (indicating another chemical break of the Cys-Gly bond, here on G-3SHol) and in malted rye, spelt, and wheat. No precursors were found in roasted malt.
In search of principles for Chinese subtitling : the application of Lu Xun's 'hard translation' in modern media
Creators: name: Wang, Dingkun
Publisher: name: The Australian National University
Year: 2015

description: The purpose of this study is to investigate the practice and reception of Chinese subtitling by focusing on the Chinese subtitles of English-language films and TV series. The present study explores two different scenarios of subtitling in Mainland China - authorised translation (i.e. the subtitles shown in cinema and those included in officially distributed DVDs) and fansubs (i.e. subtitles made by fans for free online dissemination of audiovisual products) - in order to: demonstrate differences between Chinese subtitling and subtitling into other languages; describe the different subtitling norms and procedures applied to authorized translation and fan-subtitling; and justify Chinese fan-subtitlers' influence on the practice of Chinese subtitling and their contribution to the audience's access to foreign originals in Mainland China. In light of prior studies related to subtitling and translation strategies, relevance is given to Chinese subtitlers' solutions to particular subjects, namely: discourse markers, swearing and humour. This is to highlight the contrast between Chinese subtitlers' compliance with the traditional tendency to domesticate in Chinese translation and Chinese subtitling researchers' reliance on major Western translation theories which rarely shed light on the most urging issue arising from the current practice of Chinese subtitling - over-domestication. Against this background, a theoretical proposal relating to the notion of cultural representation is advanced. The proposal stems from the theoretical approach giving prominence to the faithfulness in translation, as propounded by the prominent Chinese writer and translator, Lu Xun, in his practice of "ying-yi" ("Hard Translation"), and thus allows a set of norms to be developed for the future practice of Chinese subtitling.
การพัฒนาแอพพลิเคชั่นการจัดการเรียนการสอนในห้องเรียนเสมือนจริงบนอุปกรณ์เคลื่อนที่
Creators: name: ภาณุวัฒน์  วรพิทย์เบญจา
name: จำรัส  กลิ่นหนู
name: ณรงค์ศักดิ์  ศรีสม
Publisher: name: Industrial Technology Lampang Rajabhat University
Year: 2015
Subjects: Virtual Classrooms, Learning Managements System, Mobile Device

description: 2, 8, วารสารวิชาการคณะเทคโนโลยีอุตสาหกรรม  มหาวิทยาลัยราชภัฏลำปาง
Stability analysis of self-similar behaviors in perfect fluid gravitational collapse
Creators: name: Mitsuda, Eiji
name: Tomimatsu, Akira
Publisher: name: arXiv
Year: 2006
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Stability of self-similar solutions for gravitational collapse is an important problem to be investigated from the perspectives of their nature as an attractor, critical phenomena and instability of a naked singularity. In this paper we study spherically symmetric non-self-similar perturbations of matter and metrics in spherically symmetric self-similar backgrounds. The collapsing matter is assumed to be a perfect fluid with the equation of state $P=αρ$. We construct a single wave equation governing the perturbations, which makes their time evolution in arbitrary self-similar backgrounds analytically tractable. Further we propose an analytical application of this master wave equation to the stability problem by means of the normal mode analysis for the perturbations having the time dependence given by $\exp{(iω\log|t|)}$, and present some sufficient conditions for the absence of non-oscillatory unstable normal modes with purely imaginary $ω$.
description: 17 pages, 3 figures, matched to the published version
Power of data in quantum machine learning
Creators: name: Huang, Hsin-Yuan
name: Broughton, Michael
name: Mohseni, Masoud
name: Babbush, Ryan
name: Boixo, Sergio
name: Neven, Hartmut
name: McClean, Jarrod R.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provided can be considerably different than commonly studied computational tasks. In this work, we show that some problems that are classically hard to compute can be easily predicted by classical machines learning from data. Using rigorous prediction error bounds as a foundation, we develop a methodology for assessing potential quantum advantage in learning tasks. The bounds are tight asymptotically and empirically predictive for a wide range of learning models. These constructions explain numerical results showing that with the help of data, classical machine learning models can be competitive with quantum models even if they are tailored to quantum problems. We then propose a projected quantum model that provides a simple and rigorous quantum speed-up for a learning problem in the fault-tolerant regime. For near-term implementations, we demonstrate a significant prediction advantage over some classical models on engineered data sets designed to demonstrate a maximal quantum advantage in one of the largest numerical tests for gate-based quantum machine learning to date, up to 30 qubits.
Optical properties of the PANDA barrel DIRC prototype radiator bars
Creators: name: Krebs, M.
name: Kalicy, G.
name: Peters, K.
name: Schwarz, C.
name: Schwiening, J.
Publisher: name: GSI Helmholtzzentrum fuer Schwerionenforschung, Darmstadt
Year: 2015
Subjects: Physics

description: GSI Scientific Report 2014 - GSI Report 2015-1
Gutiérrez, Gustavo: Die historische Macht der Armen
Creators: name: Planer-Friedrich, Götz
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 35 Nr. 1 (1986): Ökumenische Rundschau, Band 35, Heft 1
On the visibility of electron-electron interaction effects in field emission spectra
Creators: name: Schmidt, T. L.
name: Komnik, A.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: One of the most convenient methods to obtain information about the energy distribution function of electrons in conducting materials is the measurement of the energy resolved current $j(ω)$ in field emission (FE) experiments. Its high energy tail $j_>(ω)$ (above the Fermi edge) contains invaluable information about the nature of the electron--electron interactions inside the emitter. Thus far, $j_>(ω)$ has been calculated to second order in the tunnelling probability, and it turns out to be divergent toward the Fermi edge for a wide variety of emitters. The extraction of the correlation properties from real experiments can potentially be obscured by the eventually more divergent contributions of higher orders as well as by thermal smearing around $E_F$. We present an analysis of both factors and make predictions for the energy window where only the second order tunnelling events dominate the behaviour of $j_>(ω)$. We apply our results to the FE from Luttinger liquids and single-wall carbon nanotubes.
description: 7 pages, 3 figures, to appear in Solid State Communications
Evaluating the Impact of High and Low Kilning Temperatures on Popular American Aroma Hops
Creators: name: Rubottom, Lindsey N.
name: Shellhammer, Thomas H.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Cell Biology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Hop drying is an important step during the hop harvest, where hops must be quickly dried from 70–80% to 8–12% moisture to prevent deterioration of hop cones. Collaborating with hop growers in Oregon and Washington, U.S.A., the study employed commercial-scale drying experiments to investigate the impact of drying hops using static 130 °F (54 °C) and 150 °F (65 °C) air-on temperatures with six popular American aroma hop varieties (Amarillo®, Cascade, Centennial, Citra®, Mosaic®, and Simcoe®) over two harvest years, 2020 and 2021. Hop kilning temperature did not significantly impact the chemical and sensory properties of the hops. However, hop dextrin-reducing enzymes responsible for hop creep were reduced with higher kiln temperatures for all varieties over both harvest years. Drying times were significantly reduced by an average of 20-42% (2–4 h) when drying at 150 °F (65 °C) versus 130 °F (54 °C), depending on the variety. These results could benefit the hop industry by allowing hop growers greater flexibility during hop harvest and offer potential energy savings via reduced drying times.
Non-thermalized Dynamics of Flat-Band Many-Body Localization
Creators: name: Orito, Takahiro
name: Kuno, Yoshihito
name: Ichinose, Ikuo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We find that a flat-band fermion system with interactions and without disorders exhibits non-thermalized ergodicity-breaking dynamics, an analog of many-body localization (MBL). In the previous works, we observed flat-band many-body localization (FMBL) in the Creutz ladder model. The origin of FMBL is a compact localized state governed by local integrals of motion (LIOMs), which are to be obtained explicitly. In this work, we clarify the dynamical aspects of FMBL. We first study dynamics of two-particles, and find that the states are not substantially modified by weak interactions, but the periodic time evolution of entanglement entropy emerges as a result of a specific mechanism inherent in the system. On the other hand, as the strength of the interactions is increased, the modification of the states takes place with inducing instability of the LIOMs. Furthermore, many-body dynamics of the system at finite fillings is numerically investigated by time-evolving block decimation (TEBD) method. For a suitable choice of the filling, non-thermal and low entangled dynamics appears. This behavior is a typical example of the disorder-free FMBL.
description: 6+2 pages, 4+3 figures, revised version, accepted as Letter in Phys. Rev. B
Deviations from tidal torque theory: evolution of the halo spin-filament alignment
Creators: name: López, Pablo
name: Cautun, Marius
name: Paz, Dante
name: Merchán, Manuel
name: van de Weygaert, Rien
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The alignment between halo spins and the cosmic web is still poorly understood despite being a widely studied topic. Here, we study this alignment within the context of tidal torque theory (TTT) and deviations from it. To this end, we analyze the evolution of the shape and spin direction of proto-haloes, i.e. of all the volume elements associated to a $z=0$ halo, with respect to the present-day filaments. We find that the major axis of proto-haloes undergoes a major change, from being strongly perpendicular to the filament spine in the initial conditions, to being preferentially aligned at the present time. In comparison, the spin orientation shows only a mild evolution: it starts slightly parallel to the filament spine, but the subsequent evolution, up to $z{\sim}1$, gradually changes its orientation to preferentially perpendicular. In order to analyze these signals in the TTT framework, we split the haloes according to their net spin growth with respect to the median TTT expectation, finding a clear correlation with the spin--filament alignment. At the present time, haloes whose spin grew the most are the ones most perpendicular to the filament spine, while haloes whose spin grew below the median TTT expectation are typically more aligned. The dependence of spin directions on net spin growth is already present in the initial conditions, and gets further modified by late-time, $z<2$, evolution. Also, spin directions mildly deviate from the TTT predictions even at high redshift, indicating the need for extensions to the model.
description: 19 pages, 12 figures, accepted in MNRAS
Systematic effects on dark energy from 3D weak shear
Creators: name: Kitching, T. D.
name: Taylor, A. N.
name: Heavens, A. F.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present an investigation into the potential effect of systematics inherent in multi-band wide field surveys on the dark energy equation of state determination for two 3D weak lensing methods. The weak lensing methods are a geometric shear-ratio method and 3D cosmic shear. The analysis here uses an extension of the Fisher matrix framework to jointly include photometric redshift systematics, shear distortion systematics and intrinsic alignments. We present results for DUNE and Pan-STARRS surveys. We show that assuming systematic parameters are fixed, but possibly biased, results in potentially large biases in dark energy parameters. We quantify any potential bias by defining a Bias Figure of Merit. We also show the effect on the dark energy Figure of Merit of marginalising over each systematic parameter individually. We find that the largest effect on the Figure of Merit comes from uncertainty in the photometric redshift systematic parameters. These can reduce the Figure of Merit by up to a factor of 2 to 4 in both 3D weak lensing methods, if no informative prior on the systematic parameters is applied. Shear distortion systematics have a smaller overall effect. Intrinsic alignment effects can reduce the Figure of Merit by up to a further factor of 2. This, however, is a worst case scenario. By including prior information on systematic parameters the Figure of Merit can be recovered to a large extent. We conclude that, as a rule of thumb, given a realistic current understanding of intrinsic alignments and photometric redshifts, then including all three primary systematic effects reduces the Figure of Merit by at most a factor of 2, but that in reality this factor should be much less. [abridged]
description: 20 pages, 11 figures, submitted to MNRAS
Performance of the PANDA barrel DIRC prototype in a pion beam at GSI
Creators: name: Schwarz, C.
name: Dzhygadlo, R.
name: Gerhardt, A.
name: Götzen, K.
name: Kalicy, G.
name: Krebs, M.
name: Kumawat, H.
name: Lehmann, D.
name: Patsyuk, M.
name: Peters, K.
name: Schepers, G.
name: Schwiening, J.
name: Traxler, M.
name: Zühlsdorf, M.
Publisher: name: GSI Helmholtzzentrum fuer Schwerionenforschung, Darmstadt
Year: 2015
Subjects: Physics

description: GSI Scientific Report 2014 - GSI Report 2015-1
Time-based simulation of the PANDA barrel DIRC
Creators: name: Dzhygadlo, R.
name: Götzen, K.
name: Kalicy, G.
name: Kumawat, H.
name: Patsyuk, M.
name: Peters, K.
name: Schwarz, C.
name: Schwiening, J.
name: Zühlsdorf, M.
Publisher: name: GSI Helmholtzzentrum fuer Schwerionenforschung, Darmstadt
Year: 2015
Subjects: Physics

description: GSI Scientific Report 2014 - GSI Report 2015-1
Revealing the Cosmic History with Gravitational Waves
Creators: name: Ringwald, Andreas
name: Tamarit, Carlos
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2022
Subjects: gravitational radiation, background
gravitational radiation, stochastic
scale, Planck
inflation
history
cosmic background radiation
big bang
reheating
cosmological model

description: The characteristics of the cosmic microwave background provide circumstantial evidence that the hot radiation-dominated epoch in the early universe was preceded by a period of inflationary expansion. Here, we show how a measurement of the stochastic gravitational wave background can reveal the cosmic history and the physical conditions during inflation, subsequent pre- and reheating, and the beginning of the hot big bang era. This is exemplified with a particularly well-motivated and predictive minimal extension of the Standard Model which is known to provide a complete model for particle physics -- up to the Planck scale, and for cosmology -- back to inflation.