Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors associated with risk related to the use of psychoactive substances by men deprived of their liberty

Abstract Objective: to evaluate the factors associated with risk related to the use of psychoactive substances in male inmates of a prison in a city in the South of Brazil. Method: a cross-sectional data from 220 men deprived of liberty, inmates of a provisional custody institution in the State of Paraná, collected with a screening instrument and questionnaire. Binary logistic regression and odds ratio analysis were used to verify associations between risk related to substance use and socio-demographic characteristics of living conditions before incarceration and current incarceration. Results: the adjusted model revealed association of consumption with skin color brown/black and yellow, those who had only one parent responsible until age 15, age at first arrest 18 or older, professing religion, working before arrest, owning their own house, living alone, receiving visitors in prison. Conclusion: the identified factors are useful to insert effective treatment proposals and reduce the gaps and social vulnerability existing in prison.
Encoded Universality of Quantum Computations on the Multi-Atomic Ensembles in the QED Cavity

We propose an effective set of elementary quantum gates which provide an encoded universality and demonstrate the physical feasibility of these gates for the solid-state quantum computer based on the multi-atomic systems in the QED cavity. We use the two-qubit encoding and swapping-based operations to simplify a physical realization of universal quantum computing and add the immunity to a number of errors. This approach allows to implement any encoded single-qubit operation by three elementary gates and the encoded controlled- NOT operation can be performed in a single step. The considerable advantages are also shown for implementing some commonly used controlled gates.
Electrochemical performance of transition metal sulfide by employing different synthesis techniques for hybrid batteries

Hybrid batteries a well‐known electrochemical energy storage technology that comprises of both supercapacitor and battery characteristics at the same time. The hybrid batteries can fulfill the current global energy quest as they have obtained high energy density (battery) and high‐power characteristics (supercapacitor). Here, we have demonstrated the effect of synthesis technique on the electrochemical performance of manganese sulfide (MnS) by mainly opting sonochemical and hydrothermal approach. Initially, the electrochemical characterizations of MnS were analyzed in three electrode setup. Electrochemical measurements in particular cyclic voltammetry, galvanostatic charge discharge, and impedance spectroscopy were studied to scrutinize the nature of the electrodes. The hydrothermally synthesized MnS shows battery grade nature with superior specific capacity of 608.08 C/g at 2.2 A/g. On account of high electrochemical performance, the prominent electrode was employed with activated carbon to explore hybrid battery applications. The hybrid device (S2//AC) has revealed exceptional specific capacity of 265 C/g at 2 A/g and 519.8 C/g at 3 mV/s. Also, the S2//AC device manifests remarkable specific power and energy of 1700 W/kg and 62.5 Wh/kg, correspondingly. Furthermore, a simulation approach was used to evaluate the contribution of capacitive and diffusive by applying Dunn's model. The nature of the asymmetric device was also confirmed by calculating its b fitting values. This study shows that the MnS has the potential to be utilized for efficient energy storage systems.
COMBEO: An evolutionary global optimization framework based on change of measures

An evolutionary global optimization paradigm, code-named COMBEO (Change Of Measure Based Evolutionary Optimization) is proposed. The main thrust in the development is a set of derivative-free directional terms derivable through a change of measures to impose any stipulated conditions aimed at driving the realized design variables (particles) to the global optimum. The directional terms, additively applied to correct the current particles and interpretable as the stochastic equivalent of the Gateaux derivatives conventionally employed in a deterministic search for a local extremum, are computable from the sample statistical moments within a Monte Carlo setup. The generalized setting offered by the new approach also enables one to borrow several basic ideas, used with other global search methods such as the particle swarm or the differential evolution, to be rationally incorporated via a change of measures. The global search may be further aided by imparting to the directional update terms additional layers of random perturbations such as 'scrambling' and 'selection'. Depending on the precise choice of the optimality conditions and the extent of random perturbation, the search can be made either greedy or more exploratory. As numerically demonstrated, the new proposal apparently provides for a more rational, more accurate and faster alternative to most available evolutionary schemes, prominent amongst whom are the differential evolution and the particle swarm optimization.
Hypersound Absorption of Acoustic Phonons in a Degenerate Carbon Nanotube

Absorption of acoustic phonons was studied in degenerate Carbon Nanotube (i.e. where the electrons are found close to the Fermi level). The calculation of the hypersound absorption coefficient () was done in the regime where (q is the acoustic phonon number and l is the electron mean free path). At T = 10K and θ > 0 (θ being scattering angle), the dependence of on acoustic wave number (q), frequency (ωq), and , (Vs and VD being the speed of sound and the drift velocity respectively) were analysed numerically at n = 0,±1,±2 (where n is an integer ) and presented graphically. It was observed that when γ < 0, the maximum amplification was attained at VD = 1.1Vs which occurred at E = 51.7V·cm-1. In the second harmonics, (n = ±2), the absorption obtained was compared to experimental measurement of acoustoelectric current via the Weinreich relation and the results qualitatively agreed with each other.
Two-oscillator model of trapped-modes interaction in a nonlinear bilayer fish-scale metamaterial

We discuss a similarity between resonant oscillations in two nonlinear systems; namely, a chain of coupled Duffing oscillators and a bilayer fish-scale metamaterial. In such systems two different resonant states arise which differ in their spectral lines. The spectral line of the first resonant state has a Lorentzian form, whereas the second one has a Fano form. This difference leads to a specific nonlinear response of the systems which manifests itself in the appearance of closed loops in spectral lines and bending and overlapping of resonant curves. Conditions for achieving bistability and multistability are determined.
Many-body quantum physics in XANES of highly correlated materials, mixed-valence oxides and high-temperature superconductors

The x-ray absorption near edge structure (XANES), developed in these last 40 years using synchrotron radiation, is a unique tool probing electronic correlations in complex systems via quantum many body final state effects. Multi electron excitations have been observed first in the sixties in x-ray absorption spectra of atoms and later in molecules and solids. The applications of XANES many body final states to probe unique features of electronic correlation in heavy fermions, mixed valence systems, mixed valence oxides and high temperature superconductors are discussed.
Tunable breakdown of the polaron picture for mobile impurities in a topological semimetal

Mobile impurities in cold atomic gases constitute a new platform for investigating polaron physics. Here we show that when impurity atoms interact with a two-dimensional Fermi gas with quadratic band touching the polaron picture may either hold or break down depending on the particle-hole asymmetry of the band structure. If the hole band has a smaller effective mass than the particle band, the quasiparticle is stable and its diffusion coefficient varies with temperature as $D(T) \propto \ln^2 T$. If the hole band has larger mass, the quasiparticle weight vanishes at low energies due to an emergent orthogonality catastrophe. In this case we map the problem onto a set of one-dimensional channels and use conformal field theory techniques to obtain $D(T)\propto T^{\nu}$ with an interaction-dependent exponent $\nu$. The different regimes can be detected in the nonequilibrium expansion dynamics of an initially confined impurity.
Relic density calculations beyond tree level, exact calculations versus effective couplings: The ZZ final state

The inferred value of the relic density from cosmological observations has reached a precision that is akin to that of the LEP precision measurements. This level of precision calls for the evaluation of the annihilation cross sections of dark matter that goes beyond tree-level calculations as currently implemented in all codes for the computation of the relic density. In supersymmetry radiative corrections are known to be large and thus must be implemented. Full one-loop radiative corrections for many annihilation processes have been performed. It is important to investigate whether the bulk of these corrections can be parameterised through an improved Born approximation that can be implemented as a selection of form factors to a tree-level code. This paper is a second in a series that addresses this issue. After having provided these form factors for the annihilation of the neutralinos into fermions, which cover the case of a bino-like LSP (Lightest Supersymmetric Particle), we turn our attention here to a higgsino-like dark matter candidate through its annihilation into $ZZ$. We also investigate the cases of a mixed LSP. In all cases we compare the performance of the form factor approach with the result of a full one-loop correction. We also study the issue of the renormalisation scheme dependence. An illustration of the phenomenon of non decoupling of the heavy sfermions that takes place for the annihilation of the lightest neutralino into $ZZ$ is also presented.
Multimodal analgesia is superior to opiates alone after tibial fracture in patients with substance abuse history

Abstract Objectives: To evaluate the effectiveness of multimodal analgesia in patients with a tibial shaft fracture. Design: Retrospective review. Setting: Large, urban, academic center. Patients: One hundred thirty-eight patients were evaluated before implementation of multimodal analgesia. Thirty-four patients were evaluated after implementation. All patients were treated operatively with internal fixation for their tibial shaft fracture. Patients with polytrauma were excluded. Intervention: Multimodal analgesia. Main Outcome Measures: Pain levels at rest and with movement were assessed. Morphine milligram equivalents (MMEs) dosed per patient were calculated each day. Length of stay was also documented. Results: After implementation of a multimodal analgesic program, there was a statistically significant decrease in pain score at rest (4.7–4.0, P = 0.034) and with movement (5.8–4.8, P = 0.007). MMEs dosed in the multimodal analgesic program correlated with pain score (R2 = 0.5), whereas before implementation of the program, MMEs dosed were not dependent on pain score (R2 = 0.007). Patients with a history of substance abuse had the most profound effect from this paradigm change. For those with a history of substance abuse, treatment of pain using a multimodal approach reduces MMEs dosed and length of stay (5.7–3.1 days, P = 0.016). Conclusions: Multimodal analgesia improves patient pain scores both at rest and during movement. In patients with a history of substance abuse, multimodal analgesia not only decreases pain but also decreases length of stay and MMEs dosed to levels consistent with someone who does not have a substance abuse history. Level of Evidence: Therapeutic Level III.
Extremely metal-poor star candidates in the SDSS

For a sample of metal-poor stars (−3.3 ≤ [Fe/H] ≤ −2.2) that have high-resolution spectroscopic abundance determinations, we have measured equivalent widths of the Ca II K, Mg I b and near-infrared Ca II triplet lines using low-resolution spectra from the Sloan Digital Sky Survey (SDSS), calculated effective temperatures from (g − z)0 color, deduced stellar surface gravities by fitting stellar isochrones, and determined metallicities based on the aforementioned quantities. Metallicities thus derived from the Ca II K line are in much better agreement with the results determined from high-resolution spectra than the values given in the SDSS Data Release 7. The metallicities derived from the Mg I b lines have a large dispersion owing to the large measurement errors, whereas those deduced from the Ca II triplet lines are too high due to both non-local thermodynamical equilibrium (NLTE) effects and measurement errors. Abundances after correction for the NLTE effect for the Mg I b lines and Ca II triplet lines are also presented. Following this method, we have identified six candidates of ultra-metal-poor stars with [Fe/H] ∼ −4.0 from a sample of 166 metal-poor star candidates. One of them, SDSS J102915+172927, was recently confirmed to be an ultra-metal-poor ([Fe/H] < −4.0) star with the lowest metallicity ever measured. Follow-up high-resolution spectroscopy for the other five ultra-metal-poor stars in our sample will therefore be of great interest.
GRB Orphan Afterglows in Present and Future Radio Transient Surveys

Abstract Orphan Afterglows (OA) are slow transients produced by Gamma Ray Bursts seen off–axis that become visible on timescales of days/years at optical/NIR and radio frequencies, when the prompt emission at high energies (X and γ rays) has already ceased. Given the typically estimated jet opening angle of GRBs θjet ~ 3°, for each burst pointing to the Earth there should be a factor ~ 700 more GRBs pointing in other directions. Despite this, no secure OAs have been detected so far. Through a population synthesis code we study the emission properties of the population of OA at radio frequencies. OAs reach their emission peak on year-timescales and they last for a comparable amount of time. The typical peak fluxes (which depend on the observing frequency) are of few μJy in the radio band with only a few OA reaching the mJy level. These values are consistent with the upper limits on the radio flux of SN Ib/c observed at late times. We find that the OA radio number count distribution has a typical slope − 1.7 at high fluxes and a flatter ( − 0.4) slope at low fluxes with a break at a frequency–dependent flux. Our predictions of the OA rates are consistent with the (upper) limits of recent radio surveys and archive searches for radio transients. Future radio surveys like VAST/ASKAP at 1.4 GHz should detect ~ 3 × 10− 3 OA deg− 2 yr− 1, MeerKAT and EVLA at 8.4 GHz should see ~ 3 × 10− 1 OA deg− 2 yr− 1. The SKA, reaching the μJy flux limit, could see up to ~ 0.2 − 1.5 OA deg− 2 yr− 1. These rates also depend on the duration of the OA above a certain flux limit and we discuss this effect with respect to the survey cadence.
The Intent Behind the Usage of Cryptocurrency: An Analysis Based on the Theory of Acceptance and Use of Technology Modification Model

Introduced in 2008, blockchain technology has experienced rapid development, in its development many digital assets have been created in the form of cryptocurrencies (cryptocurrency). For some people, crypto assets are the most modern solution and alternative for carrying out transactions on the blockchain. This study aims to determine how Behavioral Intention in Conducting Cryptocurrency Transactions. The model used is Structural Equation Modeling (SEM) with 228 data respondents spread throughout Indonesia. The results of this study indicate that the Facilitating Condition, Perceived Risk and Trust variables have a significant direct influence on the Behavioral Intention in Conducting Cryptocurrency Transaction variables while the Effort Expectancy, Hedonic Motivation, Performance Expectancy, Price Value, and Social Influence does not have a significant direct effect on the Behavioral Intention in Conducting Cryptocurrency Transaction variables and for the Performance Expectancy and Price Value variables it is not able to provide a stimulus to Effort Expectancy, Hedonic Motivation, Performance Expectancy, and Perceived Risk on the Behavioral Intention in Conducting Cryptocurrency Transaction variables. Keywords: Crypto Assets; Intentions; Investments; Platform X; Transactions
EXTERNAL COMPTON SCATTERING IN BLAZAR JETS AND THE LOCATION OF THE GAMMA-RAY EMITTING REGION

I study the location of the γ-ray emission in blazar jets by creating a Compton-scattering approximation that is valid for all anisotropic radiation fields in the Thomson through Klein–Nishina regimes, is highly accurate, and can speed up numerical calculations by up to a factor of ∼10. I apply this approximation to synchrotron self-Compton, external Compton scattering of photons from the accretion disk, broad line region (BLR), and dust torus. I use a stratified BLR model and include detailed Compton-scattering calculations of a spherical and flattened BLR. I create two dust torus models, one where the torus is an annulus and one where it is an extended disk. I present detailed calculations of the photoabsorption optical depth using my detailed BLR and dust torus models, including the full angle dependence. I apply these calculations to the emission from a relativistically moving blob traveling through these radiation fields. The ratio of γ-ray to optical flux produces a predictable pattern that could help locate the γ-ray emission region. I show that the bright flare from 3C 454.3 in 2010 November detected by the Fermi Large Area Telescope is unlikely to originate from a single blob inside the BLR. This is because it moves outside the BLR in a time shorter than the flare duration, although emission by multiple blobs inside the BLR is possible. Also, γ-rays are unlikely to originate from outside of the BLR, due to the scattering of photons from an extended dust torus, since the cooling timescale would be too long to explain the observed short variability.
Ambidextrous Leadership and Employee Voice Behavior: The Role of Work Motivation and Ambidextrous Culture

Purpose In the current competitive environment of increased uncertainty and instability, it is of significance to promote employee voice behavior. To discuss the issue of how to promote employee voice behavior both effectively and reasonably, this study focuses on ambidextrous leadership, which consists of two seemingly opposite yet potentially complementary behaviors—transformational and transactional leadership—and investigates its influence mechanism on employees’ voice behavior, using work motivation as a mediator and ambidextrous culture as a moderator. Methods Enterprise employees and their direct supervisors from 78 work teams in China were surveyed, and 387 sets of paired data were analyzed using data analysis software, such as HLM, SPSS, and AMOS. Results The results reveal that ambidextrous leadership can significantly positively predict employee voice behavior. Employee work motivation plays a partial mediating role in the positive correlation between ambidextrous leadership and voice behavior. Additionally, organizational ambidextrous culture positively moderates the correlation between ambidextrous leadership and the work motivation of employees. The greater the ambidextrous culture of teams is, the stronger the positive correlation between ambidextrous leadership and the work motivation of employees. Conclusion Leadership plays an important role in promoting employee voice behavior. Therefore, understanding how ambidextrous leadership style can effectively promote voice behavior is important for companies to utilize the power of their employees to respond quickly to change and drive innovative transformation. This study contributes to existing research by revealing how ambidextrous leadership impact employee voice behavior through work motivation, which provides new evidence for the emerging ambidextrous leadership theory and helps to understand the relationship between employee work motivation and voice behavior more comprehensively; it also identifies organizational ambidextrous culture as organizational context factor which moderate the effect of ambidextrous leadership on work motivation.
Beginning of the super‐soft phase of the classical nova V2491 Cygni

We present the results of soft X-ray studies of the classical nova V2491 Cygni using the Suzaku observatory. On day 29 after outburst, a soft X-ray component with a peak at ∼0.5 keV has appeared, which is tantalising evidence for the beginning of the super-soft X-ray emission phase. We show that an absorbed blackbody model can describe the observed spectra, yielding a temperature of 57 eV, neutral hydrogen column density of 2 × 1021 cm–2, and a bolometric luminosity of ∼1036 erg s–1. However, at the same time, we also found a good fit with an absorbed thin-thermal plasma model, yielding a temperature of 0.1 keV, neutral hydrogen column density of 4 × 1021 cm–2, and a volume emission measure of ∼1058 cm–3. Owing to low spectral resolution and low signal-to-noise ratio below 0.6 keV, the statistical parameter uncertainties are large, but the ambiguity of the two very different models demonstrates that the systematic errors are the main point of concern. The thin-thermal plasma model implies that the soft emission originates from optically thin ejecta, while the blackbody model suggests that we are seeing optically thick emission from the white dwarf (© 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Discovery of an OB runaway star inside SNR S147

We present first results of a long term study: Searching for OB--type runaway stars inside supernova remnants (SNRs). We identified spectral types and measured radial velocities (RV) by optical spectroscopic observations and we found an early type runaway star inside SNR S147. HD 37424 is a B0.5V type star with a peculiar velocity of 74$\pm$8 km s$^{-1}$. Tracing back the past trajectories via Monte Carlo simulations, we found that HD 37424 was located at the same position as the central compact object, PSR J0538+2817, $30\! \pm\! 4$ kyr ago. This position is only $\sim$4 arcmin away from the geometrical center of the SNR. So, we suggest that HD 37424 was the pre--supernova binary companion to the progenitor of the pulsar and the SNR. We found a distance of 1333$^{+103}_{-112}$ pc to the SNR. The zero age main sequence progenitor mass should be greater than 13 $M_\odot$. The age is $30\pm4$ kyr and the total visual absorption towards the center is 1.28$\pm$0.06 mag. For different progenitor masses, we calculated the pre--supernova binary parameters. The Roche Lobe radii suggest that it was an interacting binary in the late stages of the progenitor.
Using Persistence Barcode to Show the Impact of Data Complexity on the Neural Network Architecture

It is so much noticeable that initialization of architectural parameters has a great impact on whole learnability stream so that knowing mathematical properties of dataset results in providing neural network architecture a better expressivity and capacity. In this paper, five random samples of the Volve field dataset were taken. Then a training set was specified and the persistent homology of the dataset was calculated to show impact of data complexity on selection of multilayer perceptron regressor (MLPR) architecture. By using the proposed method that provides a well-rounded strategy to compute data complexity. Our method is a compound algorithm composed of the t-SNE method, alpha-complexity algorithm, and a persistence barcode reading method to extract the Betti number of a dataset. After that, MLPR were trained using that dataset using a single hidden layer with increased hidden neurons. Then, increased both hidden layers and hidden neurons. Our empirical analysis has shown that the training efficiency of MLPR severely depends on its architecture’s ability to express the homology of the dataset.