Miracle-dz/UniFAR-FTUs huggingface dataset:
EXAMINING EATING BEHAVIOR, BODY IMAGE, AND SOCIAL IDENTITY AMONGST NCAA STUDENT-ATHLETES

The purpose of the study was to examine the mean differences among collegiate student athletes and full-time college student nonathletes on measures of eating behavior, body checking, and social and personal identity. Student athletes were categorized as belonging to either a team or individual sport based on NCAA sport participation, along with gender identity. A secondary aim of the research was to conduct factor analyses on the Body Checking Questionnaire (BCQ) and Male Body Checking Questionnaire (mBCQ). The intent was to understand the structure and factor breakdown of how athletes respond to the two scales that have yet to be studied in the college student-athlete population. Scale reduction for both scales were applied with intentions for future validation in the collegiate student-athlete populations. A single survey was sent to eligible full-time college students and NCAA eligible student-athletes (n=174 studentathletes; n=85 nonathletes) via email. Analyses conducted included a 3X3 MANOVA assessing independent variables of sport type (k=3; team athlete, individual athlete, nonathlete) and gender identity (k=3; man, woman, other gender identity) on the dependent variables of eating and body checking behaviors and social/personal identity. Factor analyses were conducted using only college student-athlete data (n=174). The results showed significant gender differences on both eating behavior (F (2, 246) =13.716, p < 0.001, partial eta2 = 0.103, power=0.998) and body checking behaviors (F (2, 246) =26.374, p < 0.001, partial eta2 = 0.181, power=1.000), with women having higher mean scores compared to men and other gender. Further, there was a significant multivariate interaction of gender and sport on the set of five dependent variables, assessing eating behavior, female and male body checking behaviors, and social, and personal identity, (F (15, 649.133) = 2.496, p < 0.001, partial eta2=0.050, power=0.983), showing that women and those identifying as other gender scored significantly higher on the female body checking measure than the men did, regardless of sport type. In contrast, nonathletes identifying as men reported higher scores on the male body checking questionnaire than those identifying as women and other gender. However, those identifying as women team-sport athletes or other gender individual-sport athletes reported higher scores on the male body checking questionnaire than the men did. Overall, sport type had no significant mean differences on eating behaviors and body checking behaviors outside of the interaction. Factor analyses maintained high internal consistency for the BCQ and mBCQ reduced-item scales which retained measurement reliability and may reduce administration time to college athletes as original compiled versions were 42-items total down to 23-items.
Stability of the breached pair state for a two-species fermionic system in the presence of Feshbach resonance

We investigate the phenomenon of fermionic pairing with mismatched Fermi surfaces in a two-species system in the presence of Feshbach resonance, where the resonantly paired fermions combine to form bosonic molecules. We observe that the Feshbach parameters control the critical temperature of the gapped BCS superfluid state, and also determine the range over which a gapless breached pair state may exist. Demanding the positivity of the superfluid density, it is shown that although a breached pair state with two Fermi surfaces is always unstable, its single Fermi-surface counterpart can be stable if the chemical potentials of the two pairing species have opposite signs. This condition is satisfied only over a narrow region in the BEC side, characterized by an upper and a lower limit for the magnetic field. We estimate these limits for a mixture of two hyperfine states of {sup 6}Li using recent experimental data.
SEVEN NEW CARBON-ENHANCED METAL-POOR RR LYRAE STARS

We report estimated carbon-abundance ratios, [C/Fe], for seven newly discovered carbon-enhanced metal-poor (CEMP) RR Lyrae stars. These are well-studied RRab stars that had previously been selected as CEMP candidates based on low-resolution spectra. For this pilot study, we observed eight of these CEMP RR Lyrae candidates with the Wide Field Spectrograph on the ANU 2.3 m telescope. Prior to this study, only two CEMP RR Lyrae stars had been discovered: TY Gru and SDSS J1707+58. We compare our abundances to new theoretical models of the evolution of low-mass stars in binary systems. These simulations evolve the secondary stars, post accretion from an asymptotic giant-branch (AGB) donor, all the way to the RR Lyrae stage. The abundances of CEMP RR Lyrae stars can be used as direct probes of the nature of the donor star, such as its mass, and the amount of material accreted onto the secondary. We find that the majority of the sample of CEMP RR Lyrae stars is consistent with AGB donor masses of around 1.5–2.0 M☉ and accretion masses of a few hundredths of a solar mass. Future high-resolution studies of these newly discovered CEMP RR Lyrae stars will help disentangle the effects of the proposed mixing processes that occur in such objects.
On the Evolution of Galaxy Spin in a Cosmological Hydrodynamic Simulation of Galaxy Clusters

The traditional view of the morphology–spin connection is being challenged by recent integral field unit observations, as the majority of early-type galaxies are found to have a rotational component that is often as large as a dispersion component. Mergers are often suspected to be critical in galaxy spin evolution, yet the details of their roles are still unclear. We present the first results on the spin evolution of galaxies in cluster environments through a cosmological hydrodynamic simulation. Galaxies spin down globally with cosmic evolution. Major (mass ratios > 1/4) and minor (1/4 mass ratios > 1/50) mergers are important contributors to the spin-down in particular in massive galaxies. Minor mergers appear to have stronger cumulative effects than major mergers. Surprisingly, the dominant driver of galaxy spin-down seems to be environmental effects rather than mergers. However, since multiple processes act in combination, it is difficult to separate their individual roles. We briefly discuss the caveats and future studies that are called for.
EVIDENCE OF RESONANT MODE COUPLING AND THE RELATIONSHIP BETWEEN LOW AND HIGH FREQUENCIES IN A RAPIDLY ROTATING A STAR

In the theory of resonant mode coupling, the parent and child modes are directly related in frequency and phase. The oscillations present in the fast rotating δ Sct star KIC 8054146 allow us to test the most general and generic aspects of such a theory. The only direct way to separate the parent and coupled (child) modes is to examine the correlations in amplitude variability between the different frequencies. For the dominant family of related frequencies, only a single mode and a triplet are the origins of nine dominant frequency peaks ranging from 2.93 to 66.30 cycles day−1 (as well as dozens of small-amplitude combination modes and a predicted and detected third high-frequency triplet). The mode-coupling model correctly predicts the large amplitude variations of the coupled modes as a product of the amplitudes of the parent modes, while the phase changes are also correctly modeled. This differs from the behavior of “normal” combination frequencies in that the amplitudes are three orders of magnitude larger and may exceed even the amplitudes of the parent modes. We show that two dominant low frequencies at 5.86 and 2.93 cycles day−1 in the gravity-mode region are not harmonics of each other, and their properties follow those of the almost equidistant high-frequency triplet. We note that the previously puzzling situation of finding two strong peaks in the low-frequency region related by nearly a factor of two in frequency has been seen in other δ Sct stars as well.
A new model for the full shape of the large-scale power spectrum

We present a new model for the full shape of large-scale the power spectrum based on renormalized perturbation theory. To test the validity of this prescription, we compare this model against power spectra measured in a suite of 50 large volume, moderate resolution N-body simulations. Our results indicate that this simple model provides an accurate description of the full shape of the power spectrum taking into account the effects of non-linear evolution, redshift-space distortions and halo bias for scales k . 0:15hMpc 1 , making it a valuable tool for the analysis of forthcoming galaxy surveys. Even though its application is restricted to large scales, this prescription can provide tighter constraints on the dark energy equation of state parameter wDE than those obtained by modelling the baryonic acoustic oscillations signal only, where the information of the broad-band shape of the power spectrum is discarded. Our model is able to provide constraints comparable to those obtained by applying a similar model to the full shape of the correlation function, which is affected by different systematics. Hence, with accurate modelling of the power spectrum, the same cosmological information can be extracted from both statistics.
Cross product in N Dimensions - the doublewedge product

The cross product frequently occurs in Physics and Engineering, since it has large applications in many contexts, e.g. for calculating angular momenta, torques, rotations, volumes etc. Though this mathematical operator is widely used, it is commonly expressed in a 3-D notation which gives rise to many paradoxes and difficulties. In fact, instead of other vector operators like scalar product, the cross product is defined just in 3-D space, it does not respect reflection rules and invokes the concept of "handedness". In this paper we are going to present an extension of cross product in an arbitrary number N of spatial Dimensions, different from the one adopted in the Exterior Algebra and explicitly designed for an easy calculus of moments.
Exploring Vainshtein mechanism on adaptively refined meshes

There has been a lot of research interest in modified gravity theories which utilise the Vainshtein mechanism to recover standard general relativity in regions with high matter density, such as the Dvali-Gabadadze-Porrati and Galileon models. The strong nonlinearity in the field equations of these theories implies that accurate theoretical predictions could only be made using high-resolution cosmological simulations. Previously, such simulations were usually done on regular meshes, which limits both their performance and the accuracy. In this paper, we report the development of a new algorithm and code, based on ECOSMOG, that uses adaptive mesh refinements to improve the efficiency and precision in simulating the models with Vainshtein mechanism. We have made various code tests against the numerical reliability, and found consistency with previous simulations. We also studied the velocity field in the self-accelerating branch of the DGP model. The code, parallelised using MPI, is suitable for large cosmological simulations of Galileon-type modified gravity theories.
Mass–Richness Relations for X-Ray and SZE-selected Clusters at 0.4 < z < 2.0 as Seen by Spitzer at 4.5 μm

We study the mass–richness relation of 116 spectroscopically confirmed massive clusters at 0.4 < z < 2 by mining the Spitzer archive. We homogeneously measure the richness at 4.5 μm for our cluster sample within a fixed aperture of 2′ radius and above a fixed brightness threshold, making appropriate corrections for both background galaxies and foreground stars. We have two subsamples, those which have (a) literature X-ray luminosities and (b) literature Sunyaev–Zel’dovich effect masses. For the X-ray subsample we re-derive masses adopting the most recent calibrations. We then calibrate an empirical mass–richness relation for the combined sample spanning more than one decade in cluster mass and find the associated uncertainties in mass at fixed richness to be ±0.25 dex. We study the dependence of the scatter of this relation with galaxy concentration, defined as the ratio between richness measured within an aperture radius of 1 and 2 arcmin. We find that at fixed aperture radius the scatter increases for clusters with higher concentrations. We study the dependence of our richness estimates with depth of the 4.5 μm imaging data and find that reaching a depth of at least [4.5] = 21 AB mag is sufficient to derive reasonable mass estimates. We discuss the possible extension of our method to the mid-infrared WISE All Sky Survey data and the application of our results to the Euclid mission. This technique makes richness-based cluster mass estimates available for large samples of clusters at very low observational cost.
Bonding Emotional Appeal as Strategic Digital Communication of State-Owned Enterprises

This study aims to describe how to build emotions through digital content as a corporate communication strategy by State-Owned Enterprises. The pandemic covid-19 has engendered unprecedented situation that pose enormous challenges to corporate communication in their messages to stakeholders. State-Owned Enterprises can no longer do their stakeholders' engagements with “business as usual” approaches without being perceived as uncaring and unempathetic in a situation of crisis. The consumer insight data mentions that more than two-third of respondents admitted that they will lose trust in a certain product brand or company that are more concern on the profit during the covid-19 period. Through the in-depth interview to a number of PR practitioners of state-owned companies and content analysis of top five active social media State-Owned Enterprises contributes, this research found that Public Relations activities are indeed somewhat altered in the time of pandemic crisis. Their engagement in social media content are having more emphasize on emotional supports and convey empathic feelings to the people who suffer because of the virus, and providing more messages of support on effort to reduction the risk caused by coronavirus. The narrative of digital content is told in a coherent and fidelity. Narrative of digital content such as family-oriented, togetherness, being romantic, thrill-seeking, struggle, optimism, salvation, commitment, and carefulness is a way to have positive relationships with stakeholders. Hence, the pandemic crisis has also brought changes in the ways in which PR practitioners engage with their public, and alter the content of their messages from profit-interest communication to emphatic communication.
Emission line tomography of the short period cataclysmic variables CC Scl and V2051 Oph

We present time series spectroscopy of two short period cataclysmic variables, CC Scl and V2051 Oph, to test the efficiency of Doppler-tomography-based methods in constraining orbital parameters of evolved cataclysmic variables. We find that the Ca II triplet lines offer superior diagnostics, revealing emission components from the mass donors and sharp images of the accretion discs. Furthermore, we use Monte Carlo methods to estimate the uncertainties from ensembles of Doppler maps. We compare our new methods against traditional radial velocity methods and show that they offer a valid route towards system parameter determination. Our analysis of CC Scl suggests a low mass ratio of q = 0.08 ± 0.03 with a primary velocity of K1 = 37 ± 14 km s−1. This mass ratio is in between the pre- and post-period minimum status, however our K1 solution favours a post-period minimum system. Our derived parameters for V2051 Oph (q = 0.18 ± 0.05, K1 = 97 ± 10 km s−1) are in agreement with the eclipse solution (q = 0.19 ± 0.03), offering a direct validation of our methods.
Extremal K\"ahler metrics on blow-ups of parabolic ruled surfaces

New examples of extremal K\"ahler metrics on blow-ups of parabolic ruled surfaces are constructed. The method is based on the gluing construction of Arezzo, Pacard and Singer. This enables to endow ruled surfaces of the form $\mathbb{P}(\mathcal{O}\oplus L)$ with special parabolic structures such that the associated iterated blow-up admits an extremal metric of non-constant scalar curvature.
Progress Towards Data-Driven High-Rate Structural State Estimation on Edge Computing Devices

Structures operating in high-rate dynamic environments, such as hypersonic vehicles, orbital space infrastructure, and blast mitigation systems, require microsecond (μs) decision-making. Advances in real-time sensing, edge-computing, and high-bandwidth computer memory are enabling emerging technologies such as High-rate structural health monitoring (HR-SHM) to become more feasible. Due to the time restrictions such systems operate under, a target of 1 millisecond (ms) from event detection to decision-making is set at the goal to enable HR-SHM. With minimizing latency in mind, a data-driven method that relies on time-series measurements processed in real-time to infer the state of the structure is investigated in this preliminary work. A methodology for deploying LSTM-based state estimators for structures using subsampled time-series vibration data is presented. The proposed estimator is deployed to an embedded real-time device and the achieved accuracy along with system timing are discussed. The proposed approach has shown potential for high-rate state estimation as it provides sufficient accuracy for the considered structure while a time-step of 2.5 ms is achieved. The Contributions of this work are twofold: 1) a framework for deploying LSTM models in real-time for high-rate state estimation, 2) an experimental validation of LSTMs running on a real-time computing system.
Tourism Village Promotion Strategy via Instagram

Kampung Lawas Maspati is one of the old villages located in Surabaya based on the oldest map of the City of Surabaya which was made in 1677. The potential and uniqueness of Kampung Maspati has the opportunity to be developed into a Tourism Village so that it attracts tourists to visit and has a direct impact on improving the economy of the residents. The formulation of the problem in this study, how is the promotion strategy carried out by Kampung Lawas Maspati in using the @KampungMaspati Instagram account. While the goal is to identify and explain the promotion strategy. This study uses a qualitative descriptive research method. The findings from this study The promotional strategies carried out by Kampung Maspati through social media Instagram @kampunglawas include: 1) Content preparation. 2) Management of the @kampunglawas Instagram account 3) Establishing relationships with followers 4) Organizing events in Maspati Lawas Village 5) Monitoring and Evaluation of content, Monitoring and Evaluation of Event Activities.
Effective electric and magnetic properties of metasurfaces in transition from crystalline to amorphous state

In this paper we theoretically study electromagnetic reflection, transmission, and scattering properties of periodic and random arrays of particles which exhibit both electric-mode and magnetic-mode resonances. We compare the properties of regular and random grids and explain recently observed dramatic differences in resonance broadening in the electric and magnetic modes of random arrays. We show that randomness in the particle positioning influences equally on the scattering loss from both electric and magnetic dipoles, however, the observed resonance broadening can be very different depending on the absorption level in different modes as well as on the average electrical distance between the particles. The theory is illustrated by an example of a planar metasurface composed of cut-wire pairs. We show that in this particular case at the magnetic resonance the array response is almost not affected by positioning randomness due to lower frequency and higher absorption losses in that mode. The developed model allows predictions of behavior of random grids based on the knowledge of polarizabilities of single inclusions.
Electron Capture Supernovae from Close Binary Systems

We present the first detailed study of the Electron Capture Supernova Channel (ECSN Channel) for a primary star in a close binary star system. Progenitors of ECSN occupy the lower end of the mass spectrum of supernova progenitors and are thought to form the transition between white dwarf progenitors and core-collapse progenitors. The mass range for ECSN from close binary systems is thought to be wider than the range for single stars, because of the effects of mass transfer on the helium core. Using the MESA stellar evolution code, we explored the parameter space of initial primary masses between 8 and , using a large grid of models. We find that the initial primary mass and the mass transfer evolution are important factors in the final fate of stars in this mass range. Mass transfer due to Roche lobe overflow during and after carbon burning causes the core to cool down so that it avoids neon ignition, even in helium-free cores with masses up to , which in single stars would ignite neon. If the core is able to contract to high enough densities for electron captures to commence, we find that, for the adopted Ledoux convection criterion, the initial mass range for the primary to evolve into an ECSN is between 13.5 and . The mass ratio, initial period, and mass-loss efficiency only marginally affect the predicted ranges.
Spectral modeling of type II supernovae

There are now hundreds of publicly available supernova spectral time series. Radiative transfer modeling of this data provides insight into the physical properties of these explosions, such as the composition, the density structure, and the intrinsic luminosity, which is invaluable for understanding the supernova progenitors, the explosion mechanism, and for constraining the supernova distance. However, a detailed parameter study of the available data has been out of reach due to the high dimensionality of the problem coupled with the still significant computational expense. We tackle this issue through the use of machine-learning emulators, which are algorithms for high-dimensional interpolation. These use a pre-calculated training dataset to mimic the output of a complex code but with run times that are orders of magnitude shorter. We present the application of such an emulator to synthetic type II supernova spectra generated with the TARDIS radiative transfer code. The results show that with a relatively small training set of 780 spectra we can generate emulated spectra with interpolation uncertainties of less than one percent. We demonstrate the utility of this method by automatic spectral fitting of two well-known type IIP supernovae; as an exemplary application, we determine the supernova distances from the spectral fits using the tailored-expanding-photosphere method. We compare our results to previous studies and find good agreement. This suggests that emulation of TARDIS spectra can likely be used to perform automatic and detailed analysis of many transient classes putting the analysis of large data repositories within reach.
Quantum kinetic approach for studying thermal transport in the presence of electron-electron interactions and disorder

A user friendly scheme based on the quantum kinetic equation is developed for studying thermal transport phenomena in the presence of interactions and disorder. We demonstrate that this scheme is suitable for both a systematic perturbative calculation as well as a general analysis. We believe that we present an adequate alternative to the Kubo formula, which for the thermal transport is rather cumbersome.