Miracle-dz/UniFAR-FTUs huggingface dataset:
Black hole mass function from gravitational wave measurements

We examine how future gravitational-wave measurements from merging black holes (BHs) can be used to infer the shape of the black-hole mass function, with important implications for the study of star formation and evolution and the properties of binary BHs. We model the mass function as a power law, inherited from the stellar initial mass function, and introduce lower and upper mass cutoff parameterizations in order to probe the minimum and maximum BH masses allowed by stellar evolution, respectively. We initially focus on the heavier BH in each binary, to minimize model dependence. Taking into account the experimental noise, the mass measurement errors and the uncertainty in the redshift-dependence of the merger rate, we show that the mass function parameters, as well as the total rate of merger events, can be measured to <10% accuracy within a few years of advanced LIGO observations at its design sensitivity. This can be used to address important open questions such as the upper limit on the stellar mass which allows for BH formation and to confirm or refute the currently observed mass gap between neutron stars and BHs. In order to glean information on the progenitors of the merging BH binaries, we then advocate the study of the two-dimensional mass distribution to constrain parameters that describe the two-body system, such as the mass ratio between the two BHs, in addition to the merger rate and mass function parameters. We argue that several years of data collection can efficiently probe models of binary formation, and show, as an example, that the hypothesis that some gravitational-wave events may involve primordial black holes can be tested. Finally, we point out that in order to maximize the constraining power of the data, it may be worthwhile to lower the signal-to-noise threshold imposed on each candidate event and amass a larger statistical ensemble of BH mergers.
THE HD 5980 MULTIPLE SYSTEM: MASSES AND EVOLUTIONARY STATUS

New spectroscopic observations of the LBV/WR multiple system HD 5980 in the Small Magellanic Cloud are used to address the question of the masses and evolutionary status of the two very luminous stars in the 19.3 day eclipsing binary system. Two distinct components of the N v 4944 Å line are detected in emission and their radial velocity variations are used to derive masses of 61 and 66 M☉, under the assumption that binary interaction effects on this atomic transition are negligible. We propose that this binary system is the product of quasi-chemically homogeneous evolution with little or no mass transfer. Thus, both of these binary stars may be candidates for gamma-ray burst progenitors or even pair instability supernovae. Analysis of the photospheric absorption lines belonging to the third-light object in the system confirm that it consists of an O-type star in a 96.56 day eccentric orbit (e = 0.82) around an unseen companion. The 5:1 period ratio and high eccentricities of the two binaries suggest that they may constitute a hierarchical quadruple system.
Identifying mild traumatic brain injury using measures of frequency-specified networks

Objective. Early diagnosis of mild traumatic brain injury (mTBI) is challenging, yet crucial for providing patients with timely treatments and minimizing the risks of developing injury-related disorders. To tackle this problem, this paper presents a framework based on measures of frequency-specified brain functional networks identifying mTBI. Approach. Cortical activity of 15 control and 15 injury Thy1-GCaMP6s mice are recorded, using widefield calcium imaging, prior to and 20 minutes after inducing injury. Power spectral distribution (PSD) of the recorded cortical activities is examined, and the frequency bands with significant difference in PSD between the injury and control groups are identified. Frequency-specified functional networks are then constructed. Employing graph theoretical analysis, various network measures from the constructed frequency-specified functional networks are extracted and used as features. Several classifiers are utilized to evaluate the performance of the computed network measures, either individually or collectively as features, to classify mTBI from control. Main results. Spectral analysis reveals the presence of two dominant frequency bands (low: <1 Hz) and high: [1–8] Hz) in the cortical activities recorded via calcium imaging. Comparison of the brain networks of control and injury groups shows significant reduction (p < 0.05) in global functional connectivity following injury, specially for the high frequency band network. Interestingly, graph measures of the high frequency band network provided higher classification accuracy results, compared to those computed from the low frequency band network, suggesting that mTBI network-based features are frequency dependent. Using all network measures collectively as a multi-measure feature vector and a convolutional neural networks classifier, a model for identifying mTBI is developed, offering an average classification accuracy of 97.28%. Significance. Results signifies the importance of considering frequency-specific analysis in functional networks for mTBI identification, and demonstrate the possibility of using network measures for early mTBI diagnosis.
Competitive Interactions Between Propofol and Diazepam: Studies in GABAA Receptors and Zebrafish

Although propofol is among the most commonly administered general anesthetics, its mechanism of action is not fully understood. It has been hypothesized that propofol acts via a similar mechanism as (R)-ethyl 1-(1-phenylethyl)-1H-imidazole-5-carboxylate (etomidate) by binding within the GABAA receptor transmembrane receptor domain at the two β+/α− subunit interfaces with resultant positive allosteric modulation. To test this hypothesis, we leveraged the ability of diazepam to bind to those sites and act as a competitive antagonist. We used oocyte-expressed α1β3γ2L GABAA receptors to define the actions of diazepam (± flumazenil) on currents activated or potentiated by propofol and a zebrafish activity assay to define the impact of diazepam and flumazenil on propofol-induced anesthesia. We found that diazepam increased the amplitudes of GABAA receptor-mediated currents at nanomolar concentrations but reduced them at micromolar concentrations. The current amplitude changes produced by nanomolar diazepam concentrations were inhibited by flumazenil whereas those produced by micromolar diazepam concentrations were not. Studies of agonist potentiation showed that the micromolar inhibitory action of diazepam was surmountable by high concentrations of propofol and produced a rightward shift in the propofol concentration–response curve characterized by a Schild slope not statistically significantly different from 1, consistent with competition between diazepam and propofol. Although micromolar concentrations of diazepam (plus flumazenil) similarly reduced GABAA receptor currents modulated by propofol and etomidate, it only reduced the anesthetic actions of etomidate. We conclude that while both propofol and etomidate can modulate GABAA receptors by binding to the β+/α− subunit interfacial sites, propofol-induced anesthesia likely involves additional target sites. SIGNIFICANCE STATEMENT Although the drug combination of diazepam and flumazenil reverses the GABAA receptor positive modulatory actions of both propofol and (R)-ethyl 1-(1-phenylethyl)-1H-imidazole-5-carboxylate (etomidate), it only reverses the in vivo anesthetic actions of etomidate. These results strongly suggest that distinct mechanisms of action account for the anesthetic actions of these two commonly administered anesthetic agents.
Microbiological Surveillance of Heater-Cooler Units Used in Cardiothoracic Surgery for Detection of Mycobacterium chimaera

Abstract Mycobacterium chimaera is a nontuberculous mycobacterium that was identified as causative agent in a global outbreak of severe infections following open-chest cardiothoracic surgery. Heater-cooler units (HCUs), which were contaminated during the manufacturing process, were elucidated as the origin of this outbreak. Regular surveillance of water-containing HCUs used for cardiac surgery was recommended as one preventive measure. We present data on the occurrence of M. chimaera and other mycobacterial pathogens in different HCUs from one surgical center in Germany over a 42-month period. Water samples and swabs from seven different HCUs were taken between 2015 and 2018, and mycobacteria were detected in 50.6% (78/154) of water samples and 21.1% (4/19) of swabs. M. chimaera accounted for the majority of detected pathogens (77/83 isolates in water samples), but other species such as Mycobacterium gordonae were also found. Despite strict adherence to an intensified, regular disinfection procedure, the majority of HCUs remained positive for mycobacteria until the end of the study. In conclusion, additional measures are needed to reduce the risk of intraoperative transmission of M. chimaera , and our observations underscore the inherent infections risks associated with water-containing medical devices.
Strong gravity Lense–Thirring precession in Kerr and Kerr–Taub–NUT spacetimes

An exact expression derived in the literature for the rate of dragging of inertial frames (Lense–Thirring (LT) precession) in a general stationary spacetime, is reviewed. The exact LT precession frequencies for Kerr, Kerr–Taub–NUT (Newman–Unti–Tamburino) and Taub–NUT spacetimes are explicitly derived. Remarkably, in the case of the zero angular momentum Taub–NUT spacetime, the frame-dragging effect is shown not to vanish, when considered for spinning test gyroscopes. The result becomes sharper for the case of vanishing ADM mass of that spacetime. We clarify how our results are consistent with claims in the recent literature of null orbital plane precession for NUT spacetimes.
The Early Functional Abilities-revised may bridge the gap between the disorder of consciousness and the functional independence scales: evidence from Rasch analysis

BACKGROUND There is a tremendous clinical and research need to bridge the gap between disorder of consciousness and functional independence scales with a single unidimensional measure in people with acquired brain injury. AIM To calibrate an essentially unidimensional subset of items from the Italian Early Functional Abilities (EFA), demonstrating internal construct validity and sufficient reliability for individual patient measurement. DESIGN Multicenter observational cross-sectional study. SETTING Inpatients from 11 different Italian Rehabilitation centers. POPULATION Three hundred sixty-two adult patients with a disorder of consciousness due to an acquired brain injury. METHODS The Italian version of EFA was administered to the sample and then submitted to Mokken analysis, Confirmatory Factor Analysis, Rasch analysis, Confirmatory Bifactor Analysis, and external construct validity. RESULTS According to Mokken Analysis (all item scalability coefficients Hj positive; all item-pair scalability coefficients Hij >0.3; scale coefficient H=0.762), and Confirmatory Factor Analysis (RMSEA=0.081; SRMR=0.048; CFI=0.995; TLI=0.995), the Italian EFA showed a sufficient preliminary unidimensionality. Within Rasch Analysis, a final 12-item solution for the EFA (EFA-R) was calibrated. EFA-R is “essentially unidimensional” according to the following requirements: 1) analysis of residual correlations which supported item essential local independence; 2) a robust correlation between item subtests (rho=0.950); 3) only 2.1% of cases with significant difference between person parameter estimates by different subscales; 4) an explained common variance equal to 0.916 obtained from a final Confirmatory Bifactor Analysis. It also satisfied invariance requirement (unconditional χ220=9.81; P=0.457, conditional class-interval based χ235=33.1; P=0.557), and monotonicity. The reliability (Person Separation Index=0.887) was adequate for person measurements. A practical raw-score-to-measure conversion table based on the EFA-R calibration was devised. Finally, EFA-R strongly correlated with Coma Recovery Scale-Revised (rho=0.922) and motor FIM™ (rho=0.808). CONCLUSIONS EFA-R is an essentially unidimensional subset of 12 items with adequate internal construct validity and sufficient reliability for individual patient measurement under the Rasch Model Theory framework. CLINICAL REHABILITATION IMPACT EFA-R has the potential to measure people’s functional abilities whose consciousness is improving despite ongoing severe motor-functional impairments during the early stages of rehabilitation. It provides “a measurement bridge” between the disorder of consciousness and the functional independence scales in patients with severe acquired brain injury.
Numerical simulations of solar energetic particle event timescales associated with ICMEs

Recently, S. W. Kahler studied the timescales of solar energetic particle (SEP) events associated with coronal mass ejections (CMEs) from analysis of spacecraft data. They obtained different timescales for SEP events, such as TO, the onset time from CME launch to SEP onset, TR, the rise time from onset to half the peak intensity (0.5Ip), and TD, the duration of the SEP intensity above 0.5Ip. In this work, we solve the transport equation for SEPs considering interplanetary coronal mass ejection (ICME) shocks as energetic particle sources. With our modeling assumptions, our simulations show similar results to Kahler’s analysis of spacecraft data, that the weighted average of TD increases with both CME speed and width. Moreover, from our simulation results, we suggest TD is directly dependent on CME speed, but not dependent on CME width, which were not found in the analysis of observational data.
Analysis of injuries during the 2019 Rink Hockey World Championship

ABSTRACT Objectives The purpose of this study is to describe the incidence and characteristics of injuries at the 2019 Rink Hockey World Championship. Methods A cross-sectional study was performed among rink hockey athletes from three National Teams (Argentina, Portugal, and Spain). All injuries were reported by the medical staff of each National Team during the preparation period and the competition in the 2019 World Championship (Barcelona, Spain). Injury rate was calculated as the number of injuries per 1000 hours of player-hours of exposure. Results A total of 91 players (n = 61, 67% male; and n = 30, 33% female) participated in the study: 31 Senior Male (34%), 30 Senior Female (33%), and 30 Under-19 Male (33%). A total of 54 games were played by 9 teams from 3 countries, comprising of 4562 and 4380 hours of total athletic game and training exposure recorded, respectively. Fifty-one injuries (20 injuries with time-loss and 31 medical attention -injuries with no time-loss) were reported. The overall injury incidence rate was 11.2/1000 hours (95% CI, 8.5–14.7). The injury incidence during games (27.5; 95% CI, 11.6–65.2) was higher than the injury incidence during training sessions (3.4; 95% CI, 2–5.7). The incidence rate for game for the entire study period was 8.19 times higher (95% CI, 2.61–21.36) than that for training. The global injury burden was 45.4 days/1000 hours for a total exposure time. Acute was the most frequently documented onset and the non-contact was the most common mechanism. The most frequently reported injuries were head contusion (n = 5, 25%), followed by thigh injuries (n = 3, 15%). Conclusions The injury incidence reported in a Rink Hockey international competition was 11.2/1000 hours. The risk of injury was higher during games than during training. Prevention strategies for injuries in these kinds of championships may be worth discussing. The craniofacial injuries were the most frequently reported.
Overgrowth of the Amygdala in Children with Single Ventricle Congenital Heart Disease

Aim: Early life stress is associated with overgrowth of the amygdala, which plays a key role in the processing and memory of emotional responses. Herein, we aimed to explore the amygdala volume in children with single-ventricle congenital heart disease who experience repeated admissions during the neonatal period and infancy. Methods: We compared the amygdala volume measured using brain magnetic resonance imaging (MRI) between 40 patients after completion of the Fontan procedure and 40 age- and sex-matched control subjects Results: Age at the MRI study were 9.2 (8.5–11.1) and 10.2 (9.2–10.3) years in the Fontan and control groups, respectively. The maximum amygdala volume in the Fontan group was significantly larger than in the control group (1232 [983–1392] mm3/m2 vs. 980 [728–1166] mm3/m2, P < 0.001). The amygdala volume did not correlate to cardiac index (r = 0.260) and central venous pressure (r = -0.107) in the Fontan group. Conclusions: Children with single-ventricle congenital heart disease exhibited amygdala overgrowth.
A Bayesian comparison of U(1) lepton flavour models

Whether the anarchical ansatz or more symmetric structures best describe the neutrino parameters is a long standing question that underwent a revival of interest after the discovery of a non- vanishing reactor angle and the indication of a non-maximal atmospheric angle. In this letter, a Bayesian statistical approach is adopted in order to analyse and compare the two hypotheses within the context of U(1) flavour models. We study the constraints on individual model parameters and perform model comparison: the results elect constructions with built-in hierarchies among the matrix elements as preferred over the anarchical ones, with values of the evidence that depends slightly on whether the U(1) charges are also considered as free parameters or not, and on the priors used.
COVID-19 vaccine acceptance among pregnant women worldwide: A systematic review and meta-analysis

Background The COVID-19 pandemic has led to the death of many people worldwide. The World Health Organization (WHO) has declared vaccine resistance as one of the greatest health threats in the world even before the COVID-19 epidemic. The aim of this study was to evaluate the acceptance of COVID-19 vaccine in pregnant women. Method We performed this systematic review and meta-analysis in accordance with the PRISMA guidelines. We applied the standard search strategy to the PubMed/Medline, Web of Science (ISI), Scopus, Science Direct, Cochrane Library, EMBASE, and EBSCO databases, and the Google Scholar search engine. Heterogeneity between studies was relatively high and therefore meta-analyses were performed based on random effects model with 95% CI using STATA version 16. Results In 16 articles with a sample size of 19219 pregnant women, the acceptance of COVID-19 vaccine was estimated 53.46% (95%CI: 47.64%-59.24%). Subgroup analysis was performed based on continent (p = 0.796), data collection method (p = 0.450) and meta-regression based on the month of the study (P<0.001), and only meta-regression was significant based on the month of the study. The effect of some variables such as graviad (OR = 1.02 [95%CI: 0.90–1.16]), maternal age was (OR = 1.02 [95%CI: 0.93–1.11]) and history of influenza vaccination (OR = 0.87 [95%CI: 0.71–1.06]) on COVID-19 vaccine acceptance was evaluated, which was not significant. Conclusion The prevalence of COVID-19 vaccine acceptance in pregnant women was 53.46%, which was much lower than the general COVID-19 vaccination. Therefore, necessary interventions should be taken to increase the acceptance of the vaccine, address safety concerns and educate about it.
Vaccination hesitancy: To be vaccinated, or not to be vaccinated, that is the question in the era of COVID‐19

Abstract COVID‐19 vaccine hesitancy poses serious challenges in achieving adequate vaccine coverage in the general population. While most studies on vaccine hesitance determinants during the COVID‐19 pandemic were quantitative, qualitative research on the reasons for vaccine resistance is still lacking. To fill this gap, this study aims to qualitatively investigate cognitive and emotional factors associated with COVID‐19 vaccine hesitancy. This qualitative pilot study was conducted between October and November 2021 in Italy. A total of 40 COVID‐19 vaccine‐hesitant (“hesitant not vaccinated” or “hesitant but vaccinated”) individuals completed anonymous questionnaires with open‐ended questions. Data were analysed using the Interpretive Description approach. The central theme that emerged about vaccine hesitancy was the lack of control. This construct included four different sub‐categories: distrust of the government, infodemic, influence of family, and general anti‐vaccine opinions. The results also showed that the most important emotional and cognitive factors associated with hesitancy were anger related to a perceived sense of oppression; emotional avoidance to minimize risk; anxiety related to potential vaccine side effects. Identifying and understanding factors influencing COVID‐19 vaccination hesitancy is crucial to improving communication strategies that will ultimately result in increased confidence and vaccine acceptance.
A Procedural Route toward Understanding the Concept of Proof.

In this paper, I describe how undergraduates can develop their understanding of the concept of proof by viewing the act of proving as a procedure. Such undergraduates first understand proof as an algorithmor a step-by-step mechanical prescription for proving certain types of statements. The students can then condense this algorithm into a processor a shorter list of global, qualitative steps. By reflecting on the process, successful students can view proof as an argumentsomething that establishes the veracity of a mathematical statement. I illustrate a student in real analysis who followed this learning progression to learn the concept of proof by induction. Finally, I note that many students who view proof as a process fail to ever view proof as an argument and I discuss the consequences of these students’ narrow view of proof.
Two-Dimensional Valley Electrons and Excitons in Noncentrosymmetric 3R−MoS2

We find that the motion of the valley electrons -- electronic states close to the ${\rm K}$ and ${\rm K'}$ points of the Brillouin zone -- is confined into two dimension when the layers of MoS$_{2}$ follow the 3R stacking, while in the 2H polytype the bands have dispersion in all the three dimensions. According to our first-principles band structure calculations, the valley states have no interlayer hopping in 3R-MoS$_{2}$, which is proved to be the consequence of the rotational symmetry of the Bloch functions. By measuring the reflectivity spectra and analyzing an anisotropic hydrogen atomic model, we confirm that the valley excitons in 3R-MoS$_{2}$ have two-dimensional hydrogen-like spectral series, and the spreads of the wave function are smaller than the interlayer distance. In contrast, the valley excitons in 2H-MoS$_{2}$ are well described by the three-dimensional model and thus not confined in a single layer. Our results indicate that the dimensionality of the valley degree of freedom can be controlled simply by the stacking geometry, which can be utilized in future valleytronics.