Miracle-dz/UniFAR-FTUs huggingface dataset:
Eigenmode frequency distribution of rapidly rotating neutron stars

We use perturbation theory and the relativistic Cowling approximation to numerically compute characteristic oscillation modes of rapidly rotating relativistic stars which consist of a perfect fluid obeying a polytropic equation of state. We present a code that allows the computation of modes of arbitrary order. We focus here on the overall distribution of frequencies. As expected, we find an infinite pressure mode spectrum extending to infinite frequency. In addition we obtain an infinite number of inertial mode solutions confined to a finite, well-defined frequency range which depends on the compactness and the rotation frequency of the star. For nonaxisymmetric modes we observe how this range is shifted with respect to the axisymmetric ones, moving towards negative frequencies and thus making all $mg2$ modes unstable. We discuss whether our results indicate that the star's spectrum must have a continuous part, as opposed to simply containing an infinite number of discrete modes.
Estimating the Magnetic Field Strength in Hot Jupiters

A large fraction of known Jupiter-like exoplanets are inflated as compared to Jupiter. These “hot” Jupiters orbit close to their parent star and are bombarded with intense starlight. Many theories have been proposed to explain their radius inflation and several suggest that a small fraction of the incident starlight is injected into the planetary interior, which helps to puff up the planet. How will such energy injection affect the planetary dynamo? In this Letter, we estimate the surface magnetic field strength of hot Jupiters using scaling arguments that relate energy available in planetary interiors to the dynamo-generated magnetic fields. We find that if we take into account the energy injected in the planetary interior that is sufficient to inflate hot Jupiters to observed radii, then the resulting dynamo should be able generate magnetic fields that are more than an order of magnitude stronger than the Jovian values. Our analysis highlights the potential fundamental role of the stellar light in setting the field strength in hot Jupiters.
First Order Transitions and Multicritical Points in Weak Itinerant Ferromagnets

It is shown that the phase transition in low-T_c clean itinerant ferromagnets is generically of first order, due to correlation effects that lead to a nonanalytic term in the free energy. A tricritical point separates the line of first order transitions from Heisenberg critical behavior at higher temperatures. Sufficiently strong quenched disorder suppresses the first order transition via the appearance of a critical endpoint. A semi-quantitative discussion is given in terms of recent experiments on MnSi, and predictions for other experiments are made.
Hydrodynamic excitations of Bose Condensates in anisotropic traps

The collective excitations of Bose condensates in anisotropic axially symmetric harmonic traps are investigated in the hydrodynamic and Thomas-Fermi limit. We identify an additional conserved quantity, besides the axial angular momentum and the total energy, and separate the wave equation in elliptic coordinates. The solution is thereby reduced to the algebraic problem of diagonalizing finite dimensional matrices. The classical quasi-particle dynamics in the local density approximation for energies of the order of the chemical potential is shown to be chaotic.
Evaluation of Women’s Sexual Functions After COVID-19 Infection

Objectives Sexual health is an essential component of life quality. In this study, we aim to compare the sexual dysfunction of women who had a history of COVID-19 and those who did not have been infected by COVID-19. Methods This study was conducted in a tertiary center between May 2020 and December 2020. Our study group included 50 women treated for COVID-19 at home, and control group included 51 women with no history of COVID-19. Female Sexual Functioning Index (FSFI) was used to assess of these patients’ sexual dysfunctions. Results Sexual dysfunction in women with a history of COVID-19 was found to be significantly higher than those with no history of COVID-19. Sexual dysfunction development risk in women with a history of COVID-19 (study group) was 3.4 times higher compared to women with no history of COVID-19 (control group) (p=0.008). In addition, high number of children and low economic status were found to be predictive for sexual dysfunction after recovery (p=0.02 and p=0.024, respectively). Arousal, orgasm, satisfaction subscale scores, and total FSFI scores in women with a history of COVID-19 were significantly lower than those with no history of COVID-19 (p=0.011, p=0.002, p=0.028, and p=0.008, respectively). Conclusion Sexual dysfunction in the patients with a history of COVID-19 seems to be higher than in women with no history of COVID-19. Increased parity and low economic status are predictive for sexual dysfunction after treatment. There is a need for future studies relating to the effect of the COVID-19 infection in women’s sexual functions.
Stacking a 4D geometry into an Einstein-Gauss-Bonnet bulk

In Einstein gravity there is a simple procedure to build D-dimensional spacetimes starting from (D-1)-dimensional ones, by stacking any (D-1)-dimensional Ricci-flat metric into the extra dimension. We analyze this procedure in the context of Einstein-Gauss-Bonnet gravity, and find that it can be applied only to metrics with a constant Krestschmann scalar. For instance, we show that solutions of the black-string type are not allowed in this framework
Changing the Bayesian prior: Absolute neutrino mass constraints in nonlocal gravity *

Prior change is discussed in observational constraints studies of nonlocally modified gravity. In the latter, a model characterized by a modification of the form $\sim m^2 R\Box^{-2}R$ to the Einstein-Hilbert action was compared against the base $\Lambda$CDM one in a Bayesian way. It was found that the competing modified gravity model is significantly disfavored (at $22 \,$:$\, 1$ in terms of betting-odds) against $\Lambda$CDM given CMB+SNIa+BAO data, because of a dominant tension appearing in the $H_0 \,$-$\, \Omega_M$ plan. We identify the underlying mechanism generating such a tension and show that it is mostly caused by the late-time, quite smooth, phantom nature of the effective dark energy described by the nonlocal model. We find possible solutions for it to be resolved and explore a given one that consists in extending the initial baseline from one massive neutrino eigenstate to three degenerate ones, whose absolute mass $\sum m_\nu \, / \, 3$ is allowed to take values within a reasonable prior interval. As a net effect, the absolute neutrino mass is inferred to be non-vanishing at $2 \sigma$ level, best-fitting at $\sum m_\nu \approx 0.21 {\, \rm eV}$, and the Bayesian tension disappears rendering the nonlocal gravity model statistically equivalent to $\Lambda$CDM, given recent CMB+SNIa+BAO data. We also discuss constraints from growth rate measurements $f \sigma_8$ whose fit is found to be improved by a larger massive neutrino fraction as well. The $\nu$-extended nonlocal model also prefers a higher value of $H_0$ than $\Lambda$CDM, therefore in better agreement with local measurements.
Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients

Objective(s) To use machine learning (ML) to predict short-term requirements for invasive ventilation in patients with COVID-19 admitted to Australian intensive care units (ICUs). Design A machine learning study within a national ICU COVID-19 registry in Australia. Participants Adult patients who were spontaneously breathing and admitted to participating ICUs with laboratory-confirmed COVID-19 from 20 February 2020 to 7 March 2021. Patients intubated on day one of their ICU admission were excluded. Main outcome measures Six machine learning models predicted the requirement for invasive ventilation by day three of ICU admission from variables recorded on the first calendar day of ICU admission; (1) random forest classifier (RF), (2) decision tree classifier (DT), (3) logistic regression (LR), (4) K neighbours classifier (KNN), (5) support vector machine (SVM), and (6) gradient boosted machine (GBM). Cross-validation was used to assess the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity of machine learning models. Results 300 ICU admissions collected from 53 ICUs across Australia were included. The median [IQR] age of patients was 59 [50–69] years, 109 (36%) were female and 60 (20%) required invasive ventilation on day two or three. Random forest and Gradient boosted machine were the best performing algorithms, achieving mean (SD) AUCs of 0.69 (0.06) and 0.68 (0.07), and mean sensitivities of 77 (19%) and 81 (17%), respectively. Conclusion Machine learning can be used to predict subsequent ventilation in patients with COVID-19 who were spontaneously breathing and admitted to Australian ICUs.
Shared biophysical mechanisms determine early biofilm architecture development across different bacterial species

Bacterial biofilms are among the most abundant multicellular structures on Earth and play essential roles in a wide range of ecological, medical, and industrial processes. However, general principles that govern the emergence of biofilm architecture across different species remain unknown. Here, we combine experiments, simulations, and statistical analysis to identify shared biophysical mechanisms that determine early biofilm architecture development at the single-cell level, for the species Vibrio cholerae, Escherichia coli, Salmonella enterica, and Pseudomonas aeruginosa grown as microcolonies in flow chambers. Our data-driven analysis reveals that despite the many molecular differences between these species, the biofilm architecture differences can be described by only 2 control parameters: cellular aspect ratio and cell density. Further experiments using single-species mutants for which the cell aspect ratio and the cell density are systematically varied, and mechanistic simulations show that tuning these 2 control parameters reproduces biofilm architectures of different species. Altogether, our results show that biofilm microcolony architecture is determined by mechanical cell–cell interactions, which are conserved across different species.
Common Mechanism of Activated Catalysis in P-loop Fold Nucleoside Triphosphatases—United in Diversity

To clarify the obscure hydrolysis mechanism of ubiquitous P-loop-fold nucleoside triphosphatases (Walker NTPases), we analysed the structures of 3136 catalytic sites with bound Mg-NTP complexes or their analogues. Our results are presented in two articles; here, in the second of them, we elucidated whether the Walker A and Walker B sequence motifs—common to all P-loop NTPases—could be directly involved in catalysis. We found that the hydrogen bonds (H-bonds) between the strictly conserved, Mg-coordinating Ser/Thr of the Walker A motif ([Ser/Thr]WA) and aspartate of the Walker B motif (AspWB) are particularly short (even as short as 2.4 ångströms) in the structures with bound transition state (TS) analogues. Given that a short H-bond implies parity in the pKa values of the H-bond partners, we suggest that, in response to the interactions of a P-loop NTPase with its cognate activating partner, a proton relocates from [Ser/Thr]WA to AspWB. The resulting anionic [Ser/Thr]WA alkoxide withdraws a proton from the catalytic water molecule, and the nascent hydroxyl attacks the gamma phosphate of NTP. When the gamma-phosphate breaks away, the trapped proton at AspWB passes by the Grotthuss relay via [Ser/Thr]WA to beta-phosphate and compensates for its developing negative charge that is thought to be responsible for the activation barrier of hydrolysis.
Dual-Species Biofilms Formed by Escherichia coli and Salmonella Enhance Chlorine Tolerance

Outbreaks of Escherichia coli and Salmonella in food might be associated with the cross-contamination of biofilms on food-contact surfaces. The knowledge of the sanitization of mono-species biofilm on the food-contact surface is well established, while mixed-species biofilm occurs more naturally, which could profoundly affect the efficacy of sanitizer. ABSTRACT In this research, mono- and dual-species biofilms of Escherichia coli (O45:H2 and O121:H19) and Salmonella enterica serovar Typhimurium formed on stainless-steel coupons were treated with 100 mg/L NaClO for 1 min. Confocal laser scanning microscopy (CLSM) was applied to investigate the spatial structural dynamics of mono- and dual-species biofilms, and nuclear magnetic resonance (NMR) spectroscopy was employed to further investigate their metabolic responses toward chlorine. CLSM results indicated that mixed-species biofilms (total biovolume, 148,000 to 167,000 μm3) stimulated the growth of biomass 2 to 6 times that of single-species biofilms. Upon chlorine treatment, E. coli O45 and S. Typhimurium achieved less reduction (P < 0.05) when coexisting in mixed biofilms (0.70 and 1.17 log CFU/coupon reductions, respectively) compared with their corresponding single-species biofilms (1.97 and 2.01 log CFU/coupon reductions, respectively), while for E. coli O121, more reduction (P < 0.05) was achieved in a mixed biofilm (1.37 log CFU/coupon reductions) compared with its single-species biofilm (0.59 log CFU/coupon reductions). Moreover, NMR results suggested that the increase of putrescine (antioxidation regulator) and the decrease of glucose (enhanced glycolysis for energy replenishment) might contribute to the improved chlorine tolerance in mixed biofilms. Overall, dual-species biofilms promoted biofilm growth and their chlorine tolerance. This study improved our knowledge of the metabolic difference of single- and mixed-species biofilms of E. coli and Salmonella to chlorine sanitization and raised an urgency to investigate the effectiveness of common disinfectants against multispecies consortia. IMPORTANCE Outbreaks of Escherichia coli and Salmonella in food might be associated with the cross-contamination of biofilms on food-contact surfaces. The knowledge of the sanitization of mono-species biofilm on the food-contact surface is well established, while mixed-species biofilm occurs more naturally, which could profoundly affect the efficacy of sanitizer. Therefore, this research aims to evaluate the efficacy of using chlorine against single- and dual-species biofilms of E. coli and Salmonella along with the underlying bacterial metabolic responses. The responses of a mixed biofilm of E. coli and Salmonella to chlorine sanitization were clarified, providing insights to develop a targeted and green sanitization strategy against specific pathogens by perturbing their most susceptible metabolism pathway without sanitizer residue.
Hypoxia tolerance, but not low pH tolerance, is associated with a latitudinal cline across populations of Tigriopus californicus

Intertidal organisms must tolerate daily fluctuations in environmental parameters, and repeated exposure to co-occurring conditions may result in tolerance to multiple stressors correlating. The intertidal copepod Tigriopus californicus experiences diurnal variation in dissolved oxygen levels and pH as the opposing processes of photosynthesis and cellular respiration lead to coordinated highs during the day and lows at night. While environmental parameters with overlapping spatial gradients frequently result in correlated traits, less attention has been given to exploring temporally correlated stressors. We investigated whether hypoxia tolerance correlates with low pH tolerance by separately testing the hypoxia and low pH stress tolerance separately of 6 genetically differentiated populations of T. californicus. We independently checked for similarities in tolerance for each of the two stressors by latitude, sex, size, and time since collection as predictors. We found that although hypoxia tolerance correlated with latitude, low pH tolerance did not, and no predictor was significant for both stressors. We concluded that temporally coordinated exposure to low pH and low oxygen did not result in populations developing equivalent tolerance for both. Although climate change alters several environmental variables simultaneously, organisms’ abilities to tolerate these changes may not be similarly coupled.
Spatial Characteristics of the Efflux Pump MexB Determine Inhibitor Binding

The multidrug efflux transporters MexB and MexY in Pseudomonas aeruginosa and AcrB in Escherichia coli contribute to these organisms’ multidrug resistance. Efflux pump inhibitor (EPI) ABI-PP inhibits MexB and AcrB, but not MexY. ABSTRACT The multidrug efflux transporters MexB and MexY in Pseudomonas aeruginosa and AcrB in Escherichia coli contribute to these organisms’ multidrug resistance. Efflux pump inhibitor (EPI) ABI-PP inhibits MexB and AcrB, but not MexY. We previously determined the structure of ABI-PP bound to the hydrophobic trap (the inhibitor-binding pit) of AcrB and MexB. The insensitivity of MexY to ABI-PP was attributed to a bulky tryptophan (Trp). AcrB(Phe178Trp) became uninhibited by ABI-PP, while MexY(Trp177Phe) resensitized MexY for ABI-PP. Interestingly, ABI-PP was able to inhibit MexB(Phe178Trp). Thus, it is not clear which bulky amino acid mutations are critical for inhibitor binding in MexB. Here, we investigated the pit of MexB in more detail, and elucidated which Trp mutation locations in the pit were hindering ABI-PP binding, but did not affect the function of the efflux pumps. Mutating positions 139, 277, 279, and 612 to tryptophan eliminated the inhibitory effect. However, the tryptophan mutation at position 571 did not cause any effect. These results show that the effectiveness of EPIs is greatly affected by mutations in different locations, and that binding of EPIs is partly attributed by spatial characteristics. These results should be taken into account for new inhibitor and drug discovery.
Cortical and subcortical grey matter correlates of psychopathic traits in a Japanese community sample of young adults: sex and configurations of factors’ level matter!

Abstract While neuroimaging research has examined the structural brain correlates of psychopathy predominantly in clinical/forensic male samples from western countries, much less is known about those correlates in non-western community samples. Here, structural magnetic resonance imaging data were analyzed using voxel- and surface-based morphometry to investigate the neuroanatomical correlates of psychopathic traits in a mixed-sex sample of 97 well-functioning Japanese adults (45 males, 21–39 years; M = 27, SD = 5.3). Psychopathic traits were assessed using the Self-Report Psychopathy Scale (SRP-SF; 4th Edition). Multiple regression analysis showed greater Factor 1 scores were associated with higher gyrification in the lingual gyrus, and gray matter volume in the anterior cingulate cortex and amygdala/hippocampus border. Total psychopathy and Factor 1 scores interacted with sex to, respectively, predict cortical thickness in the precuneus and gyrification in the superior temporal gyrus. Finally, Factor 1 and Factor 2 traits interacted to predict gyrification in the posterior cingulate cortex. These preliminary data suggest that, while there may be commonalities in the loci of structural brain correlates of psychopathic traits in clinical/forensic and community samples, the nature of that association might be different (i.e. positive) and may vary according to sex and configurations of factors’ level.
Older adults get masked emotion priming for happy but not angry faces: evidence for a positivity effect in early perceptual processing of emotional signals

ABSTRACT In higher-level cognitive tasks, older compared to younger adults show a bias towards positive emotion information and away from negative information (a positivity effect). It is unclear whether this effect occurs in early perceptual processing. This issue is important for determining if the positivity effect is due to automatic rather than controlled processing. We tested this with older and younger adults on a positive/negative face emotion valence classification task using masked priming. Positive (happy) and negative (angry) face targets were preceded by masked repetition or valence primes with neutral face baselines. In Experiment 1, 30 younger and 30 older adults were tested with 50 ms primes. Younger adults showed repetition priming for both positive and negative targets. Older adults showed repetition priming for positive but not negative targets. Neither group showed valence priming. In Experiment 2, 30 older and 29 younger adults were tested with longer duration primes. Younger adults showed repetition priming for both positive and negative emotions, and no valence priming. Older adults only showed repetition and valence priming for positive targets. We proposed older adults’ lack of angry face priming was due to an early attention orienting strategy favouring happy expressions at the expense of angry ones.
The structure, stability and interaction of geophysical vortices

This thesis examines the structure, stability and interaction of geophysical vortices. We do so by restricting our attention to relative vortex equilibria, or states which appear stationary in a co-rotating frame of reference. We approach the problem from three different perspectives, namely by first studying the single-vortex, quasi-geostrophic shallow-water problem, next by generalising it to an (asymmetric) two-vortex problem, and finally by re-visiting the singlevortex problem, making use of the more realistic, although more complicated, shallow-water model. We find that in all of the systems studied, small vortices (compared to the Rossby deformation length) are more likely to be unstable than large ones. For the single-vortex problem, this means that large vortices can sustain much greater deformations before destabilising than small vortices, and for the two-vortex problem this means that vortices are able to come closer together before destabilising. Additionally, we find that for large vortices, the degree of asymmetry of a vortex pair does not affect its stability, although it does affect the underlying steady state into which an unstable state transitions. Lastly, by carefully defining the “equivalence” between cyclones and anticyclones which appear in the shallowwater system, we find that cyclones are more stable than anticyclones. This is contrary to what is generally reported in the literature.