Miracle-dz/UniFAR-FTUs huggingface dataset:
Found in translation: The role of response mappings for observing binding effects in localization tasks

ABSTRACT According to action control theories, response and stimulus’ features are integrated into event files. Repeating any of an event file’s components retrieves the previously bound information, causing benefits for full repetition, but interference for partial repetition. Yet, such “binding effects” are absent in localization performance. By assuming sequential processing steps until response execution as assumed in visual search, we hypothesized that, for localization, participants can execute their response without the need to process target features. Hence, post-selective processing might be crucial for binding effects to emerge. Here, participants localized coloured targets appearing on one of four corners of a touchpad in two response conditions, namely, directly tapping on the target (direct response mapping), and tapping on the corner diagonal opposite to the target (translational response mapping). Only the translational response mapping yielded binding effects between localization response and colour. The direct response mapping instead showed an effect that is better explained by (non-spatial) Inhibition of Return or related change benefit effects. We conclude that an arbitrary response mapping – based on a translation of a spatial feature into a non-direct spatial response – can lead to binding effects even in localization tasks.
Optimal Sampling for Dynamic Complex Networks With Graph-Bandlimited Initialization

Many engineering, social, and biological complex systems consist of dynamical elements connected via a large-scale network. Monitoring the network’s dynamics is essential for a variety of maintenance and scientific purposes. Whilst we understand how to optimally sample and discretize a single continuous dynamic element or a non-dynamic graph, we do not possess a theory on how to optimally sample networked dynamical elements. Here, we study nonlinear dynamic graph signals on a fixed complex network. We define the necessary conditions for optimal sampling in the combining time- and graph-domain to fully recover the networked dynamics. We firstly interpret the networked dynamics into a linearized matrix. Then, we prove that the dynamic signals can be sampled and fully recovered if the networked dynamics is stable and their initialization and inputs (which are unknown) are bandlimited in the graph spectral domain. This new theory directly maps optimal sampling locations and rates to the graph properties and governing nonlinear dynamics. This can inform the placement of experimental probes and sensors on dynamical networks especially for the case where the employed sensors are difficult to change. Also, this guides the design of each sensor’s optimal sampling rate for further digital signal processing. We motivate the reader with two examples of recovering the networked dynamics for: social population growth and networked protein biochemical interactions with both bandlimited and arbitrary initialization and inputs.
Green Technology Investment Strategies Under Cap-and-Trade Policy

This article aims to address methods for reducing carbon emissions by investigating the green technology investment behavior of enterprises under cap-and-trade regulation and governments’ cap-and-trade policy design mechanisms. Considering that investments are long-term, we developed a two-period green technology investment model for a manufacturing firm facing carbon-sensitive demand in a cap-and-trade regulated market. Our findings show that the firm's investment strategy depends on trade-offs between the gains from selling low-carbon products and the costs of investing in technology. Such trade-offs are affected by consumers’ carbon emissions sensitivity, the unit carbon emission trading price, and the firm's investment efficiency across two periods. The first-period optimal free allowance allocated to the manufacturer is unique, but the second-period optimal free proportion is not unique as it is decided by the unit carbon emission trading price. In addition, the firm's chosen investment strategy based on the optimal carbon policies can create a mutually beneficial situation for the manufacturer, consumers, and society, which shows that the government-designed carbon policies, including the first-period free emissions allowance and the second-period free proportion, are effective. Our study results can aid manufacturers in making wise, strategic, and operational decisions about green technology investment and provide guidance on carbon quota allocation policies that promote the development of low-carbon economies.
Absence of hyperfine effects in 13C-graphene spin-valve devices

The carbon isotope 13C, in contrast to 12C, possesses a nuclear magnetic moment and can induce electron spin dephasing in graphene. This effect is usually neglected due to the low abundance of 13C in natural carbon allotropes (~1%). Chemical vapor deposition (CVD) allows for artificial synthesis of graphene solely from a 13C precursor, potentially amplifying the influence of the nuclear magnetic moments. In this work we study the effect of hyperfine interactions in pure 13C-graphene on its spin transport properties. Using Hanle precession measurements we determine the spin relaxation time and observe a weak increase of τs with doping and a weak change of τs with temperature, as in natural graphene. For comparison we study spin transport in pure 12C-graphene, also synthesized by CVD, and observe similar spin relaxation properties. As the signatures of hyperfine effects can be better resolved in oblique spin-valve and Hanle configurations, we use finite-element modeling to emulate oblique signals in the presence of a hyperfine magnetic field for typical graphene properties. Unlike in the case of GaAs, hyperfine interactions with 13C nuclei influence electron spin transport only very weakly, even for a fully polarized nuclear system. Also, in the measurements of the oblique spin-valve and Hanle effects no hyperfine features could be resolved. This work experimentally confirms the weak character of hyperfine interactions and the negligible role of 13C atoms in the spin dephasing processes in graphene.
Cavity-based quantum networks with single atoms and optical photons

A vision has formed in recent years of the components necessary for a large-scale quantum network. Single trapped atoms can serve as the nodes of this network, with the links established by flying photons that are coupled to the atoms using optical resonators. This review describes progress towards the goal of multinode networks using the current generation of experiments, which have achieved unprecedented levels of atomic qubit control and light-matter coupling efficiencies.
CHARACTERIZING TRANSITION TEMPERATURE GAS IN THE GALACTIC CORONA

We present a study of the properties of the transition temperature (T ∼ 105 K) gas in the Milky Way corona, based on the measurements of O vi, N v, C iv, Si iv, and Fe iii absorption lines seen in the far-ultraviolet spectra of 58 sight lines to extragalactic targets, obtained with the Far-Ultraviolet Spectroscopic Explorer and the Space Telescope Imaging Spectrograph. In many sight lines the Galactic absorption profiles show multiple components, which are analyzed separately. We find that the highly ionized atoms are distributed irregularly in a layer with a scale height of about 3 kpc, which rotates along with the gas in the disk, without an obvious gradient in the rotation velocity away from the Galactic plane. Within this layer the gas has randomly oriented velocities with a dispersion of 40–60 km s−1. On average the integrated column densities are log N(O vi) = 14.3, log N(N v) = 13.5, log N(C iv) = 14.2, log N(Si iv) = 13.6, and log N(Fe iii) = 14.2, with a dispersion of just 0.2 dex in each case. In sight lines around the Galactic center and Galactic north pole, all column densities are enhanced by a factor ∼2, while at intermediate latitudes in the southern sky there is a deficit in N(O vi) of about a factor of two, but no deficit for the other ions. We compare the column densities and ionic ratios to a series of theoretical predictions: collisional ionization equilibrium, shock ionization, conductive interfaces, turbulent mixing, thick disk supernovae, static non-equilibrium ionization (NIE) radiative cooling, and an NIE radiative cooling model in which the gas flows through the cooling zone. None of these models can fully reproduce the data, but it is clear that NIE radiative cooling is important in generating the transition temperature gas.
AMiBA: SUNYAEV–ZEL'DOVICH EFFECT-DERIVED PROPERTIES AND SCALING RELATIONS OF MASSIVE GALAXY CLUSTERS

The Sunyaev–Zel'dovich Effect (SZE) has been observed toward six massive galaxy clusters, at redshifts 0.091 ⩽ z ⩽ 0.322 in the 86–102 GHz band with the Y. T. Lee Array for Microwave Background Anisotropy (AMiBA). We modify an iterative method, based on the isothermal β models, to derive the electron temperature Te, total mass Mt, gas mass Mg, and integrated Compton Y within r2500, from the AMiBA SZE data. Non-isothermal universal temperature profile (UTP) β models are also considered in this paper. These results are in good agreement with those deduced from other observations. We also investigate the embedded scaling relations, due to the assumptions that have been made in the method we adopted, between these purely SZE-deduced Te, Mt, Mg, and Y. Our results suggest that cluster properties may be measurable with SZE observations alone. However, the assumptions built into the pure-SZE method bias the results of scaling relation estimations and need further study.
Process-theoretic characterisation of the Hermitian adjoint

We show that the physical principle "the adjoint associates to each state a `test' for that state" fully characterises the Hermitian adjoint for pure quantum theory, therefore providing the adjoint with operational meaning beyond its standard mathematical definition. Also, we show that for general process theories, which all admit a diagrammatic representation, this physical principle induces a reflection operation.
Systematics analyses on nucleon isovector observables in 2+1-flavor dynamical domain-wall lattice QCD near physical mass

Analyses on possible systematics in some isovector nucleon observables in the RBC+UKQCD 2+1-flavor dynamical domain-wall fermion (DWF) lattice-QCD are presented. The vector charge, axial charge, quark momentum and helicity fractions, and transversity are discussed using mainly the Iwasaki\(\times\)DSDR ensemble at pion mass of 170 MeV. No autocorrelation issue is observed in the vector charge and quark momentum and helicity fractions. Blocked Jack-knife analyses expose significant growth of estimated error for the axial charge with increasing block sizes that are similar to or larger than the known autocorrelation time of the gauge-field topological charge. Similar growth is seen in the transversity. These two observables, however, do not seem correlated with the topological charge.
A fast simulator for polycrystalline processes with application to phase change alloys

We present a stochastic simulator for polycrystalline phase-change materials capable of spatio-temporal modelling of complex anneals. This is based on consideration of bulk and surface energies to generate rates of growth and decay of crystallites built up of `monomers' that themselves may be quite complex molecules. We perform a number of simulations of this model using a Gillespie algorithm. The simulations are performed at molecular scale and using an approximation of local free energy changes that depend only on immediate neighbours. The sites are on a lattice that neither correspond to the crystal lattice nor to individual monomers, but instead gives information about a two-state local phase $r$ (where $r=0$ corresponds to amorphous and 1 corresponds to crystalline) and a continuous crystal orientation $\phi$ at each site. As an example we use this to model crystallisation in chalcogenide GST ($GeSbTe$) alloys used for example in phase-change memory devices, where reversible changes between amorphous and crystalline regimes are used to store and process information. We use our model to simulate anneals of GST including ones with non-trivial spatial and temporal variation of temperature; this gives good agreement to experimental incubation times at low temperatures while modelling non-trivial crystal size distributions and melting dynamics at higher temperatures.
Stellar winds on the main-sequence - II. The evolution of rotation and winds

Aims. We study the evolution of stellar rotation and wind properties for low-mass main-sequence stars. Our aim is to use rotational evolution models to constrain the mass loss rates in stellar winds and to predict how their properties evolve with time on the mainsequence. Methods. We construct a rotational evolution model that is driven by observed rotational distributions of young stellar clusters. Fitting the free parameters in our model allows us to predict how wind mass loss rate depends on stellar mass, radius, and rotation. We couple the results to the wind model developed in Paper I of this series to predict how wind properties evolve on the main-sequence. Results. We estimate that wind mass loss rate scales with stellar parameters as u M� ∝ R 2 Ω 1.33 � M −3.36 � . We estimate that at young ages, the solar wind likely had a mass loss rate that is an order of magnitude higher than that of the current solar wind. This leads to the wind having a higher density at younger ages; however, the magnitude of this change depends strongly on how we scale wind temperature. Due to the spread in rotation rates, young stars show a large range of wind properties at a given age. This spread in wind properties disappears as the stars age. Conclusions. There is a large uncertainty in our knowledge of the evolution of stellar winds on the main-sequence, due both to our lack of knowledge of stellar winds and the large spread in rotation rates at young ages. Given the sensitivity of planetary atmospheres to stellar wind and radiation conditions, these uncertainties can be significant for our understanding of the evolution of planetary environments.
Approximate quantum error correction for generalized amplitude-damping errors

We present analytic estimates of the performances of various approximate quantum error correction schemes for the generalized amplitude damping (GAD) qubit channel. Specifically, we consider both stabilizer and nonadditive quantum codes. The performance of such error-correcting schemes is quantified by means of the entanglement fidelity as a function of the damping probability and the non-zero environmental temperature. The recovery scheme employed throughout our work applies, in principle, to arbitrary quantum codes and is the analogue of the perfect Knill-Laflamme recovery scheme adapted to the approximate quantum error correction framework for the GAD error model. We also analytically recover and/or clarify some previously known numerical results in the limiting case of vanishing temperature of the environment, the well-known traditional amplitude damping channel. In addition, our study suggests that degenerate stabilizer codes and self-complementary nonadditive codes are especially suitable for the error correction of the GAD noise model. Finally, comparing the properly normalized entanglement fidelities of the best performant stabilizer and nonadditive codes characterized by the same length, we show that nonadditive codes outperform stabilizer codes not only in terms of encoded dimension but also in terms of entanglement fidelity.
TIME MONITORING OF RADIO JETS AND MAGNETOSPHERES IN THE NEARBY YOUNG STELLAR CLUSTER R CORONAE AUSTRALIS

We report Karl G. Jansky Very Large Array 8–10 GHz (λ = 3.0–3.7 cm) monitoring observations toward the young stellar object (YSO) cluster R Coronae Australis (R CrA), taken from 2012 March 15 to 2012 September 12. These observations were planned to measure the radio flux variabilities in timescales from 0.5 hr to several days, to tens of days, and up to ∼200 days. We found that among the YSOs detectable in individual epochs, in general, the most reddened objects in the Spitzer observations show the highest mean 3.5 cm Stokes I emission, and the lowest fractional variabilities on <200 day timescales. The brightest radio flux emitters in our observations are the two reddest sources IRS7W and IRS7E. In addition, by comparing our observations with observations taken from 1996 to 1998 and 2005, we found that the radio fluxes of these two sources have increased by a factor of ∼1.5. The mean 3.5 cm fluxes of the three Class I/II sources, IRSI, IRS2, and IRS6, appear to be correlated with their accretion rates derived by a previous near-infrared line survey. The weakly accreting Class I/II YSOs, or those in later evolutionary stages, present radio flux variability on <0.5 hr timescales. Some YSOs were detected only during occasional flaring events. The source R CrA went below our detection limit during a few fading events.
Multiwavelength Observations of AB Doradus

Abstract We have observed the bright, magnetically active multiple star AB Doradus in a multiwavelength campaign centring around two large facility allocations in November 2006 and January, 2007. Our observations have covered at least three large flares. These flares were observed to produce significant hardening of the X-ray spectra during their very initial stages. We monitored flare-related effects using the Suzaku X-ray satellite and the Australia Telescope Compact Array (ATCA) at 3.6 and 6 cm. Observations at 11 and 21 cm were also included, but they were compromised by interference. Optical monitoring was also provided by broadband B and V photometry and some high-dispersion spectrograms. From this multiwavelength coverage we find that the observed flare effects can be mainly associated with a large active region near longitude zero. The second major X-ray and microwave flare of Jan 8, 2007 was observed with a favourable geometry that allowed its initial high-energy impulsive phase to be observed in the higher frequency range of Suzaku’s XIS detectors. The fractional circular polarisation (Stokes V/I) was measured in the uv data for the complete runs, for 25 min integrations and, at 4.80 GHz, for 5 min integrations, using the radio data of Nov 21 2006 and Jan 08 2007. Most of the full data sets showed V/I fractions from AB Dor B that were significant at greater than the 3σ level. In several of the 5 min integrations at 4.80 and 8.64 GHz this fraction reached a significance level between 3 and 9σ. Lack of angular resolution prevented identification of these high V/I values with one or other of the two low-mass red-dwarf components of AB Dor B.
Charge fluctuations and nodeless superconductivity in quasi-one-dimensional Ta 4 Pd 3 Te 16 revealed by 125 Te-NMR and 181 Ta-NQR

We report $^{125}\mathrm{Te}$ nuclear magnetic resonance and $^{181}\mathrm{Ta}$ nuclear quadrupole resonance studies on single-crystal ${\mathrm{Ta}}_{4}{\mathrm{Pd}}_{3}{\mathrm{Te}}_{16}$, which has a quasi-one-dimensional structure and superconducts below ${T}_{c}=4.3$ K. $^{181}\mathrm{Ta}$ with spin $I=7/2$ is sensitive to quadrupole interactions, while $^{125}\mathrm{Te}$ with spin $I=1/2$ can only relax by magnetic interactions. By comparing the spin-lattice relaxation rate ($1/{T}_{1}$) of $^{181}\mathrm{Ta}$ and $^{125}\mathrm{Te}$, we found that electric-field-gradient (EFG) fluctuations develop below 80 K. The EFG fluctuations are enhanced with decreasing temperature due to the fluctuations of a charge density wave that sets in at ${T}_{\mathrm{CDW}}=20$ K, below which the spectra are broadened and $1/{T}_{1}T$ drops sharply. In the superconducting state, $1/{T}_{1}$ shows a Hebel-Slichter coherence peak just below ${T}_{c}$ for $^{125}\mathrm{Te}$, indicating that ${\mathrm{Ta}}_{4}{\mathrm{Pd}}_{3}{\mathrm{Te}}_{16}$ is a full-gap superconductor without nodes in the gap function. The coherence peak is absent in the $1/{T}_{1}$ of $^{181}\mathrm{Ta}$ due to the strong EFG fluctuations.
Ultra-compact dwarf galaxy formation by tidal stripping of nucleated dwarf galaxies

Ultra Compact Dwarf Galaxies (UCDs) and dwarf galaxy nuclei have many common properties, such as internal velocity dispersions and colour-magnitude trends, suggesting tidally stripped dwarf galaxies as a possible UCD origin. However, UCDs typically have sizes more than twice as large as nuclei at the same luminosity. We use a GPUenabled version of the particle-mesh code superbox to study the possibility of turning nucleated dwarf galaxies into UCDs by tidally stripping them in a Virgo-like galaxy cluster. We find that motion in spherical potentials, where close passages happen many times, leads to the formation of compact (rh . 20 pc) star clusters/UCDs. In contrast, orbital motion where close passages happen only once or twice leads to the formation of extended objects which are large enough to account for the full range of observed UCD sizes. For such motion, we find that dwarf galaxies need close pericentre passages with distances less than 10 kpc to undergo strong enough stripping so that UCD formation is possible. As tidal stripping produces objects with similar properties to UCDs, and our estimates suggest dwarf galaxies have been destroyed in sufficient numbers to explain the observed number of UCDs in M87, we consider tidal stripping to be a likely origin of UCDs. However, comparison with cosmological simulations is needed to determine if the number and spatial distribution of UCDs formed by tidal stripping matches the observations of UCDs in galaxy clusters.
On gradient field theories: gradient magnetostatics and gradient elasticity

In this work, the fundamentals of gradient field theories are presented and reviewed. In particular, the theories of gradient magnetostatics and gradient elasticity are investigated and compared. For gradient magnetostatics, non-singular expressions for the magnetic vector gauge potential, the Biot–Savart law, the Lorentz force and the mutual interaction energy of two electric current loops are derived and discussed. For gradient elasticity, non-singular forms of all dislocation key formulas (Burgers equation, Mura equation, Peach–Koehler stress equation, Peach–Koehler force equation, and mutual interaction energy of two dislocation loops) are presented. In addition, similarities between an electric current loop and a dislocation loop are pointed out. The obtained fields for both gradient theories are non-singular due to a straightforward and self-consistent regularization.
Serum S100A8/A9 as a Potentially Sensitive Biomarker for Inflammatory Bowel Disease.

BACKGROUND The clinical significance of human S100A8/A9 (h-S100A8/A9) in patients with inflammatory bowel disease (IBD) is poorly understood. OBJECTIVE To clarify whether serum S100A8/A9 is a sensitive biomarker for IBD. METHODS Serum specimens from outpatients with IBD (n = 101) and healthy volunteers (HVs) (n = 101) were used in this study. Enzyme-linked immunosorbent assays for h-S100A8/A9 and inflammatory cytokines were performed using these specimens. Further, correlation analysis was performed to investigate the significance of h-S100A8/A9 fluctuation in patients with IBD. RESULTS The average of serum h-S100A8/A9 concentration in outpatients with IBD was significantly higher than that in HVs. The concentration of h-S100A8/A9 in patients with IBD was barely correlated with that of CRP and inflammatory cytokines. Despite that finding, the serum level of h-S100A8/A9 in patients with ulcerative colitis (UC) was correlated with the severity of IBD, compared with other inflammatory proteins. CONCLUSION Serum h-S100A8/A9 is superior to CRP as a sensitive biomarker for IBD.