Miracle-dz/UniFAR-FTUs huggingface dataset:
Constraining massive gravity with recent cosmological data

A covariant formulation of a theory with a massive graviton and no negative energy state has been recently proposed as an alternative to the usual General Relativity framework. For a spatially flat homogenous and isotropic universe, the theory introduces modified Friedmann equations where the standard matter term is supplemented by four effective fluids mimicking dust, cosmological constant, quintessence and stiff matter, respectively. We test the viability of this massive gravity formulation by contrasting its theoretical prediction to the Hubble diagram as traced by Type Ia Supernovae (SNeIa) and Gamma Ray Bursts (GRBs), the $H(z)$ measurements from passively evolving galaxies, Baryon Acoustic Oscillations (BAOs) from galaxy surveys and the distance priors from the Cosmic Microwave Background Radiation (CMBR) anisotropy spectrum. It turns out that the model is indeed able to very well fit this large dataset thus offering a viable alternative to the usual dark energy framework. We finally set stringent constraints on its parameters also narrowing down the allowed range for the graviton mass.
Correlation-based algorithms for accurate PIV measurement near the slip boundary

Accurate particle image velocimetry (PIV) measurement near the wall is of great significance in many fields. However, it is challenging for conventional PIV algorithms to deal with the near-wall flow, especially under the slip boundary condition. In general, the conventional window correlation method cannot accurately calculate the flow velocity at any location that is less than half the size of the interrogation window away from the boundary. For steady or periodic flow, the single-pixel ensemble correlation method can estimate the velocity very near the wall, but numerous image pairs are required, which comes at a great computational cost. In this paper, a new method based on window deformation is proposed to estimate the velocity profile of near-wall flows. Furthermore, a multi-pixel ensemble correlation method is proposed based on the single-pixel method, which improves accuracy and significantly reduces the computational cost relative to the single-pixel method. Both methods are validated by synthetic particle images and experiments. The present work extends the PIV methodology for accurately measuring near-wall flows, especially under the slip boundary condition, which will benefit research on the boundary layer, drag reduction, microfluidics, etc.
Experimental investigation of a quantum battery using star-topology NMR spin systems

Theoretical explorations have revealed that quantum batteries can exploit quantum correlation to achieve faster charging, thus promising exciting applications in future technologies. Using NMR architecture, here we experimentally investigate various aspects of quantum battery with the help of nuclear spin systems in star-topology configuration. We first carry out numerical analysis to study how charging a quantum battery depends on the relative purity factors of charger and battery spins. By experimentally measuring the polarization of the battery spin undergoing charging, we estimate the battery energy and establish the theoretically predicted quantum advantage. We propose using the quantum advantage, which depends on the entanglement among chargers and battery, as a measure for estimating the size of the entangled cluster. We develop a simple iterative method to realize asymptotic charging avoiding oscillatory behaviour of charging and discharging. Finally, we introduce a load spin and realize a charger-battery-load circuit and experimentally demonstrate battery energy consumption after varying durations of battery storage, for up to two minutes.
Inducing and detecting collective population inversions of Mössbauer nuclei

Up to now, experiments involving M\"ossbauer nuclei driven by x-rays have been restricted to the low-excitation regime. Here, a setup is proposed which promises significant excitation, ideally exceeding full inversion of the nuclear ensemble, at x-ray light sources under construction. We further introduce a method to experimentally verify such inversions, in which population inversions manifest themselves in symmetry flips of suitably recorded spectra. It neither requires per-shot spectra of the incoming x-ray pulses, nor absolute measurements of the scattered light intensity.
Image Reconstruction using wavelet transform with extended fractional fourier Transform

Image reconstruction forms the basis of many applications in the fields of medicine, astronomy etc. Historically an image is reconstructed using several methods of which Fourier and wavelet transform methods formed the roots of present day technologies. The reconstructed images possess higher resolution and helps in analyzing the image in more detail. In our thesis we proposed a method where we used fractional Fourier transform in conjunction with wavelet transform to produce the reconstructed image. We employed three wavelets in our thesis namely Haar wavelet, Daubechies wavelet and Coiflet wavelet in order to gain diversity into our results. For the scaling function of each of the three wavelets fractional Fourier transform is applied which gives a new scaling function. A new wavelet function created using the scaling function. Such a wavelet is applied to series of images of various resolutions (256x256, 128x128, 64x64) and is encrypted using DES before transmitting over the channel. The reconstruction is carried out using inverse DES and inverse wavelet Transform to get the reconstructed image. The parameters we used to determine the efficiency of the wavelets are peak signal to noise ratio(PSNR) and Structural similarity Index(SSIM). The results for various images are plotted using box plots. We reached out the conclusions that Daubechies had the better performance compared to other wavelets. Also the performance falls down with the image resolution.
A Healthy Work Environment in the Slovenian Hotel Industry: Views of Employees Affected by the COVID-19 Pandemic

Previous research has mostly overlooked the hotel employee- -related perspectives on (occupational) health, including its relation to pandemics (such as COVID-19). This research examines this perspective focusing on the case of the Slovenian hotel industry. An anonymous web questionnaire, as the only practical option, was sent during the lockdown to potential respondents from hotels throughout the country. For the analysis, the following approaches were employed: univariate analysis, the check of reliability and confidence intervals for the means, principal component analysis with Varimax rotation, and Spearman's and Pearson's rank-order correlations. The majority of respondents changed their attitude towards health during the pandemic (χ2 = 2.66). Using PCA, dimensionality-reduction of the dataset was implemented. A five-component solution, in which components account for 60.3% of the total variance, was identified. Due to low rs and rp, all components are negligibly correlated to demographic characteristics as well as to the respondents' changing health concerns due to COVID-19.
Statistical properties of states in QED with unstable vacuum

We study statistical properties of states of massive quantized charged Dirac and Klein-Gordon fields interacting with a background that violates the vacuum stability, first in general terms and then for a special electromagnetic background. As a starting point, we use a nonperturbative expression for the density operators of such fields derived by Gavrilov et al [S.P. Gavrilov, D.M. Gitman, and J.L. Tomazelli, Nucl. Phys. B 795, 645 (2008)]. We construct the reduced density operators for electron and positron subsystems and discuss a decoherence that may occur in the course of the evolution due to an intermediate measurement. By calculating the entropy we study the loss of the information in QED states due to partial reductions and a possible decoherence. Next, we consider the so-called T-constant external electric field as an external background. This exactly solvable example allows us to calculate explicitly all statistical properties of various quantum states of the massive charged fields under consideration.
The dark secrets of gaseous nebulae -- highlights from deep spectroscopy

In this contribution, I will briefly review the development of the theory of photoionized gaseous nebulae, highlighting some of the key events. I will then present some recent developments of deep spectroscopy of planetary nebulae (PNe) and H II regions, concentrating on observations of faint heavy element optical recombination lines (ORLs). I will show that there is strong evidence that nebulae contain another previously unknown component of cold (about 1,000 K), high-metallicity plasma, probably in the form of H-deficient inclusions embedded in the warm (about 10,000 K) diffuse nebula of "normal (i.e. near solar) composition". This cold gas emits essentially all the observed fluxes of heavy element ORLs, but is too cool to excite any significant optical or ultraviolet collisionally excited lines (CELs) and thus invisible via the latter. The existence of H-deficient gas in PNe and probably also in H II regions, not predicted by the current stellar evolution theory, provides a natural solution to the long-standing dichotomy between nebular plasma diagnostics and abundance determinations using CELs on the one hand and ORLs on the other, a discrepancy that is ubiquitously observed in Galactic and extragalactic PNe as well as H II regions.
Real-Time Traffic and Road Surveillance With Parallel Edge Intelligence

Edge computing, which is an emerging concept to complement cloud computing, processes data closer to where the data is generated at the network edge. Transportation system is a critical component of our cities and is generating more and more data. To leverage the power of the increasing amount of data from traffic sensors, researchers have started exploring the feasibility of edge computing for traffic big data analytics. Given the resource constraints on edge devices, it is very challenging to achieve high intelligence and real-time capability at the same time. There are few edge transportation systems that function in a multi-tasking mode with high efficiency and intelligence on the edge. This paper proposes a multi-thread parallel edge system architecture and several lightweight algorithms for traffic and road surveillance. The designs ensure robustness and real-time capability for the key modules of the system.
Sandy beach dwelling crickets (Orthoptera: Trigonidiidae) have no preference for substrates that match their body color

Habitat choice is an important behavior for maximizing fitness. One of the factors involved in habitat choice is preference for habitat substrates. In the context of predatory avoidance, it is adaptive to prefer substrates that are matched to own body color. The ground cricket Dianemobius csikii (Bolívar, 1901) occurs on sandy beaches. The body color of D. csikii resembles the sand of their habitat, which could be a form of crypsis. If D. csikii is not able to choose a suitable habitat background that matches their body color, the crickets incur a high risk of predation. The risk could result in population decline of the cricket. To examine whether D. csikii shows preference for substrates that match its body color, we undertook a two‐choice test of sand or soil substrates after controlling the type of flooring substrates used during rearing. The crickets did not show preference for sand. There was no significant effect of flooring substrates during the nymph stage on the preference. These results suggest that when habitats are fragmented, crickets do not actively choose a cryptic background. There were significant differences in the substrate preference between sexes. These results reflect differences in the reproductive strategies of males and females.
Improving the Ability of Teachers of SMPN 3 Batukliang, Central Lombok Regency in Class Action Research (CAR)

Classroom Action Research (CAR) is a very important method in improving teacher performance and professionalism. Classroom Action Research can improve the learning process and does not interfere with the teacher's task in learning at school. However, the limited knowledge of teachers regarding procedures for preparing CAR, models, strategies, learning methods that can be applied in learning, as well as proper data collection, processing, and analysis are obstacles that are often encountered in the field. Therefore, various efforts have been made to improve teacher performance in improving teacher professionalism, namely by holding an activity in the form of socialization to assist teachers in preparing Classroom Action Research (CAR). The results of the service carried out showed that the socialization material was delivered very clearly and the participants were able to understand the material presented well. It is hoped that this activity can foster the habit of researching and pouring out the results of their research in the form of scientific works to teachers. In addition, teachers have confidence in carrying out their duties and obligations. So, with the implementation of classroom action research (CAR).
A Switch for Artificial Resistivity and Other Dissipation Terms

We describe a new switch to reduce dissipation from artificial resistivity in Smoothed Particle Magnetohydrodynamics simulations. The switch utilises the gradient of the magnetic field to detect shocks, setting alpha_B = h |gradB| / |B|. This measures the relative degree of discontinuity, and the switch is not dependent on the absolute field strength. We present results comparing the new resistivity switch to the switch of Price & Monaghan (2005), showing that it is more robust in capturing shocks (especially in weak fields), while leading to less overall dissipation. The design of this switch is generalised to create similar switches for artificial viscosity and thermal conduction, with proof of concept tests conducted on a Sod shock tube and Kelvin-Helmholtz instabilities.
Experimental characterization of negative refractive index material NRM at Ka band

In this paper, we discuss the experimental characterization of a negative refractive material NRM at Ka band using LR labyrinth Ring and wire array WA. We describe in detail the the LR and wire array characterization separately, and after that the combined experimental results, for NRM are reported. The LRs analytical and simulation study is not new but design in Ka band and different experimental procedure for the characterization of the negative refractive index is the novelty of this paper. For performing a negative refractive index experiment we made prism of 150 Prism angle . We get enhanced transmittance of more than 20 dB from background, at a negative angle of refraction. The values of the negative refractive index in a band of about 1 G Hz around 31 GHz are retrieved from the experimental data.
Designing the Finnish basic education core curriculum: the issue of gender binarism

ABSTRACT This paper presents a novel process perspective on educational equality policies by examining the relationship between gender equality discourses and gender binary inequalities in the deliberative design process of the Finnish Basic Education Core Curriculum 2014. The analysis applies Nancy Fraser’s theory of three-dimensional justice to feedback comments (n = 73) and the equality statements included in the draft and final core curricula. The study demonstrates how gender equality discourses affirm or transform gender binary inequalities and how they changed statements between curriculum versions. The findings show that transforming gender binarism was possibly a challenge to promoting equality in the curriculum design process: No discourse alone was able to transform binarism, and only discourses affirming binarism changed the final curriculum. This paper argues that a combination of redistributive and recognitive equality discourses can contribute to the transformation of gender binarism to make it a core element of educational equality discourses.
GLOBAL FAR-ULTRAVIOLET PROPERTIES OF THE CYGNUS LOOP

We present the C iii λ977, O vi λλ1032, 1038 and N iv] λ1486 emission line maps of the Cygnus Loop, obtained with the newly processed data of the Spectroscopy of Plasma Evolution from Astrophysical Radiation (SPEAR; also known as FIMS) mission. In addition, the Si iv+O iv] line complexes around 1400 Å are resolved into two separate emission lines whose intensity demonstrates a relatively high Si iv region that was predicted in the previous study. The morphological similarity between the O vi and X-ray images, as well as a comparison of the O vi intensity with the value expected from the X-ray results, indicates that large portions of the observed O vi emissions could be produced from X-ray emitting gas. Comparisons of the far-ultraviolet (FUV) images with the optical and H i 21 cm images reveal spatial variations of shock-velocity populations and high FUV extinction in the direction of a previously identified H i cloud. By calculating the FUV line ratios for several subregions of the Cygnus Loop, we investigate the spatial variation of the population of radiative shock velocities as well as the effects of resonance scattering, X-ray emitting gas, and nonradiative shocks. The FUV and X-ray luminosity comparisons between the Cygnus Loop and the Vela supernova remnant suggest that the fraction of shocks in the early evolutionary stages is much larger in the Cygnus Loop.
Charge-Trap based VMM design compensated for non-linearity through Reference Read

In this paper, we propose a highly linear Multiply-and-Accumulate function of Vector-Matrix-Multiplier (VMM) with CMOS-compatible charge-trap based memory cells. In order to eliminate the terms that cause nonlinearity of the drain current of the cell, we added one additional capacitor and three switches to implement a reference read by circuit reusing concept. As a result, the Signal-to-noise ratio (SNR) of the drain current was significantly improved, and the effective-number-of-bits (ENOB) was increased by up to x2.82 times. And, scalability to the array level was confirmed by checking that integral non-linearity (INL) was improved from 1.91LSB to 0.24LSB for 4-bit inputs in $4\times 4$ arrays.
Gluon screening mass at finite temperature from the Landau gauge gluon propagator in lattice QCD

We address the interpretation of the Landau gauge gluon propagator at finite temperature as a massive-type bosonic propagator. Using pure gauge SU(3) lattice simulations at a fixed lattice volume $\ensuremath{\sim}(6.5\text{ }\text{ }\mathrm{fm}{)}^{3}$, we compute the electric and magnetic form factors, extract a gluon mass from Yukawa-like fits, and study its temperature dependence. This is relevant both for the Debye screening at high temperature $T$ and for confinement at low $T$.
Do non-native and dominant native species carry a similar risk of invasiveness? A case study for plants in Turkey

Most risk analysis studies in invasion biology have focused on the invasiveness of non-native species, even though some native species also can pose a high risk to the environment and human well-being. This is especially true under current global change, which may cause dominant native species to expand their range of distribution and have substantial effects on the ecosystem. In this study, the risk of invasiveness of five non-native and five native plant species in Turkey was evaluated using a standard risk screening protocol. All ten species selected for screening are known to be invasive in several parts of the world, i.e. non-native Ailanthus altissima, Cuscuta campestris, Phytolacca americana, Robinia pseudoacacia and Sicyos angulatus, and native Cirsium arvense, Hedera helix, Onopordum acanthium, Phragmites australis and Sorghum halepense. The Australian Weed Risk Assessment decision-support tool adapted to Turkey’s geographical and climatic conditions was used for screening the study species based on their biological traits, ecology and management approaches. All species were classified as high-risk, with R. pseudoacacia among non-natives and P. australis among natives achieving the highest scores followed by S. halepense, C. campestris, C. arvense, O. acanthium, P. americana, S. angulatus, A. altissima and H. helix. Based on their risk scores, all non-native species were classified as invasive and all native species as ‘expanding’ for Turkey. An ordination based on the risk scores showed similarities between invasive and expanding species. The outcomes of this study indicate that species can have several risk-related traits resulting in high risk scores irrespective of their origin. Such species can modify their environment and interact with other species with severe consequences for biodiversity. It is argued that dominant species with highly negative environmental and socioeconomic impacts in their habitats should be included in priority lists for management measures irrespective of their origin (i.e. native or non-native). More studies are needed to evaluate the magnitude and prevalence of the present findings for other regions worldwide.
Connecting the dots: a versatile model for the atmospheres of tidally locked Super-Earths

Radiative equilibrium temperatures are calculated for the troposphere of a tidally locked Super-Earth based on a simple greenhouse model, using Solar System data as a guideline. These temperatures provide in combination with a Newtonian relaxation scheme thermal forcing for a 3D atmosphere model using the dynamical core of the Massachusetts Institute of Technology global circulation model (MITgcm). Our model is of the same conceptional simplicity than the model of Held & Suarez (1994) and is thus computationally fast. Furthermore, because of the coherent, general derivation of radiative equilibrium temperatures, our model is easily adaptable for different planets and atmospheric scenarios. As a case study relevant for Super-Earths, we investigate a Gl581g-like planet with Earth-like atmosphere and irradiation and present results for two representative rotation periods of $P_{rot}$ = 10 days and $P_{rot}$ = 36.5 days. Our results provide proof of concept and highlight interesting dynamical features for the rotating regime 3 < $P_{rot}$ < 100 days, which was shown by Edson et al. (2011) to be an intermediate regime between equatorial superrotation and divergence. We confirm that the $P_{rot}$ = 10 days case is more dominated by equatorial superrotation dynamics than the $P_{rot}$ = 36.5 days case, which shows diminishing influence of standing Rossby- Kelvin waves and increasing influence of divergence at the top of the atmosphere. We argue that this dynamical regime change relates to the increase in Rossby deformation radius, in agreement with previous studies. However, we also pay attention to other features that are not or only in partial agreement with other studies, like, e.g., the number of circulation cells and their strength, the role and extent of thermal inversion layers, and the details of heat transport
Sex bias in letters of recommendation and personal statements for otolaryngology residency

Application for otolaryngology residency is highly competitive, with letters of recommendation (LORs) and applicant personal statements (PSs) representing important components of the application process. However, their inherently subjective nature predisposes them to potential implicit bias. Otolaryngology has historically been predominated by male physicians and while implicit sex bias has been demonstrated in LORs for application to residency of multiple specialties, data is limited for otolaryngology.