Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Supportive Housing on Liver-Related Outcomes Among Persons With Hepatitis C Virus Infection

Abstract Background Hepatitis C virus (HCV) infection disproportionately impacts people experiencing homelessness. Hepatitis C virus can lead to negative health outcomes, including mortality. We evaluated the impact of a permanent supportive housing (PSH) program (ie, “treatment”) on liver-related morbidity and mortality among persons with chronic homelessness and HCV infection. Methods We matched records for persons eligible for a New York City PSH program (2007–2014) with Heath Department HCV and Vital Statistics registries and Medicaid claims. Among persons diagnosed with HCV before or 2 years posteligibility, we added stabilized inverse probability of treatment weights to negative binomial regression models to compare rates for liver disease-related emergency department visits and hospitalizations, and hazard ratios for mortality, by program placement 2 and 5 years posteligibility. Results We identified 1158 of 8783 placed and 1952 of 19 019 unplaced persons with laboratory-confirmed HCV infection. Permanent supportive housing placement was associated with significantly reduced liver-related emergency department visits (adjusted rate ratio [aRR] = 0.76, 95% confidence interval [CI] = .61–.95), hospitalizations (aRR = 0.62, 95% CI = .54–.71), and all-cause (adjusted hazard ratio [aHR] = 0.65, 95% CI = .46–.92) and liver-related mortality (aHR = 0.72, 95% CI = .09–.83) within 2 years. The reduction remained significant for hospitalizations after 5 years. Conclusions Placement into PSH was associated with reduced liver-related morbidity and mortality among persons with HCV infection and chronic homelessness.
Evidence for Professional Conceptualization in Science as an Important Component of Science Identity

Experience in research facilitates development of science identity and encourages undergraduate student persistence along the pathway to careers in science, technology, engineering, and math (STEM). Participation in authentic research can foster identity development by influencing a sense of belonging, recognition, interest, and performance and competence in science. We examine science identity in a group of five community college women in marine science during a 2-year study in which students participated in a research experience. We used interviews, surveys, identity artifacts, and significant circles before and after the research experience in a thematic analysis to explore identities and examine their intentions, interests, perspectives, and aspirations for a future career. Participation in research provided opportunities for students to gain conceptual understanding of themselves and their abilities in science as well as explore and clarify their professional interests. This work builds upon our current understanding by providing evidence that conceptualization of career trajectories and self as a science professional is an important component of identity. Exploring career options and developing professional conceptualization are critical components in science research experiences and warrants additional study to understand the role of professional conceptualization in shaping student trajectories in STEM.
Beyond the Parts: Learning Coarse-to-Fine Adaptive Alignment Representation for Person Search

Person search is a time-consuming computer vision task that entails locating and recognizing query people in scenic pictures. Body components are commonly mismatched during matching due to position variation, occlusions, and partially absent body parts, resulting in unsatisfactory person search results. Existing approaches for extracting local characteristics of the human body using keypoint information are unable to handle the search job when distinct body parts are misaligned, ignoring to exploit multiple granularities, which is crucial in the person search process. Moreover, the alignment learning methods learn body part features with fixed and equal weights, ignoring the beneficial contextual information, e.g., the umbrella carried by the pedestrian, which supplements compelling clues for identifying the person. In this paper, we propose a Coarse-to-Fine Adaptive Alignment Representation (CFA2R) network for learning multiple granular features in misaligned person search in the coarse-to-fine perspective. To exploit more beneficial body parts and related context of the cropped pedestrians, we design a Part-Attentional Progressive Module (PAPM) to guide the network to focus on informative body parts and positive accessorial regions. Besides, we propose a Re-weighting Alignment Module (RAM) shedding light on more contributive parts instead of treating them equally. Specifically, adaptive re-weighted but not fixed part features are reconstructed by Re-weighting Reconstruction module, considering that different parts serve unequally during image matching. Extensive experiments conducted on CUHK-SYSU and PRW datasets demonstrate competitive performance of our proposed method.
A hydrodynamic approach to non-equilibrium conformal field theories

We develop a hydrodynamic approach to non-equilibrium conformal field theory. We study non-equilibrium steady states in the context of one-dimensional conformal field theory perturbed by the TT¯ ? > irrelevant operator. By direct quantum computation, we show, to first order in the coupling, that a relativistic hydrodynamic emerges, which is a simple modification of one-dimensional conformal fluids. We show that it describes the steady state and its approach, and we provide the main characteristics of the steady state, which lies between two shock waves. The velocities of these shocks are modified by the perturbation and equal the sound velocities of the asymptotic baths. Pushing this approach further, we are led to conjecture that the approach to the steady state is generically controlled by the power law t−1/2, and that the widths of the shocks increase with time according to t1/3.
A Hybrid Approach of a Deep Learning Technique for Real–Time ECG Beat Detection

Abstract This paper presents a new customized hybrid approach for early detection of cardiac abnormalities using an electrocardiogram (ECG). The ECG is a bioelectrical signal that helps monitor the heart’s electrical activity. It can provide health information about the normal and abnormal physiology of the heart. Early diagnosis of cardiac abnormalities is critical for cardiac patients to avoid stroke or sudden cardiac death. The main aim of this paper is to detect crucial beats that can damage the functioning of the heart. Initially, a modified Pan–Tompkins algorithm identifies the characteristic points, followed by heartbeat segmentation. Subsequently, a different hybrid deep convolutional neural network (CNN) is proposed to experiment on standard and real-time long-term ECG databases. This work successfully classifies several cardiac beat abnormalities such as supra-ventricular ectopic beats (SVE), ventricular beats (VE), intra-ventricular conduction disturbances beats (IVCD), and normal beats (N). The obtained classification results show a better accuracy of 99.28% with an F1score of 99.24% with the MIT–BIH database and a descent accuracy of 99.12% with the real-time acquired database.
Magnetic proximity effect in the three-dimensional topological insulator/ferromagnetic insulator heterostructure

We theoretically study the magnetic proximity effect in the three-dimensional (3D) topological insulator/ ferromagnetic insulator (TI/FMI) structures in the context of possibility to manage the Dirac helical state in TI. Within a continual approach based on the k · p Hamiltonian, we predict that, when a 3D TI is brought into contact with a 3D FMI, the ordinary bound state arising at the TI/FMI interface becomes spin polarized due to the orbital mixing at the boundary. Whereas the wave function of FMI decays into the TI bulk on the atomic scale, the induced exchange field, which is proportional to the FMI magnetization, builds up at the scale of the penetration depth of the ordinary interface state. Such an exchange field opens the gap at the Dirac point in the energy spectrum of the topological bound state existing on the TI side of the interface. We estimate the dependence of the gap size on the material parameters of the TI/FMI contact.
UBVI CCD photometry and star counts in nine inner disc Galactic star clusters

We present and discuss new CCD-based photometric material in the UBVI passbands for nine Galactic star clusters located inside the solar ring, for which no CCD data are currently available. These star clusters are IC 2714, NGC 4052, ESO 131SC09, NGC 5284, NGC 5316, NGC 5715, VdB-Hagen 164, NGC 6268 and Czernik 38. The main aim of this study is to establish the nature of real clusters or random field star enhancements and, when real, estimate their fundamental parameters. To this aim, we first perform star counts by combining our optical photometry with 2MASS, and derive cluster sizes and radial density profiles. The fundamental parameters such as age, reddening and distance are then inferred from the analysis of the star distribution in the colour–colour and colour–magnitude diagrams of only the spatially selected likely members. Our analysis shows that ESO 131SC09, NGC 5284 and VdB-Hagen 164 are most probably not clusters, but random enhancements of a few bright stars along the line of sight, with properties much similar to so-called open cluster remnants. The remaining clusters are physical groups and are all younger than about 1 Gyr. We use the newly derived set of parameters, in particular distance and reddening, to investigate their position in the Galaxy in the context of the spiral structure of the Milky Way. We find that the youngest clusters (IC 2714, NGC 5316 and NGC 6268) are located close to or inside the Carina–Sagittarius arm, and are therefore bona fide spiral structure tracers. On the other hand, the oldest clusters (Czernik 38, NGC 4052 and NGC 5715) are floating in the interarm space between the Carina–Sagittarius and the more distant Scutum–Crux arm. Interestingly enough, the oldest clusters of this sample – Czernik 38 and NGC 5715 – are among the few known open clusters to be older or as old as the Hyades in the inner Galactic disc, where star clusters are not expected to survive for a long time, because of the strong tidal field and the higher probability of close encounters.
Gradient-index nanophotonics and metamaterials

It is commonly believed that electromagnetic waves cannot propagate in lossy conductive media and that they quickly decay inside such media over short length scales of the order of the so-called skin depth. Here we prove that this common belief is incorrect if the conductive medium is stratified. We demonstrate that electromagnetic waves in stratified lossy conductive media may have propagating character, and that the propagation length of such waves may be considerably larger than the skin depth. Our findings enable novel electromagnetic metamaterial designs by mediating the effect of losses on electromagnetic signal propagation in metamaterials. Our results demonstrate a new class of inherently non-Hermitian electromagnetic media with high dissipation, no gain, and no PT-symmetry, which nevertheless have almost real eigenvalue spectrum.
The impact of doctors’ career calling on organizational citizenship behavior mediated by work–life balance and job satisfaction

The present study explored the relationship between doctors’ career calling and organizational citizenship behavior (OCB). A model proposing that the effect of career calling on OCB mediated by work–life balance (WLB) and job satisfaction was assessed. Data were collected from 670 doctors working in hospitals across Northern India out of which 325 questionnaires were considered for analysis purpose. The results demonstrated that career calling has a significant effect on OCB and WLB and job satisfaction mediates the career calling-OCB relationship. The results of the study suggest that WLB and job satisfaction may signify a critical link between career calling and OCB. Implications surrounding this study and theoretical and practical implications for research and practice are explored.
Compositional capability as a mean to improve performance in an uncertain environment

Dynamic capabilities are widely regarded to be critical to ensure the growth and survival of firms in an uncertain environment. Recently, the concept of compositional capability has been proposed which is described as the ability to skillfully integrate disparate resources to develop unique value propositions for the target market. Scholars regard compositional capability as a form of dynamic capability. The present study investigates the impact of compositional capability on a firm’s performance. Furthermore, it has been hypothesized that this effect is likely to improve in an uncertain environment. To test the conceptual model, data was collected from a cross-section of 185 retail stores located in Lahore, Pakistan through the survey. The collected data was later analyzed through Structural Equation Modelling. Results of the study reveal that compositional capability is positively associated with a firm’s performance. Also, compositional capability leads to superior firm performance under a highly uncertain environment. The paper discusses these findings and concludes with implications for future research.
Electromagnetic fields with vanishing scalar invariants

We determine the class of p-forms F that possess vanishing scalar invariants (VSIs) at arbitrary order in an n-dimensional spacetime. Namely, we prove that F is a VSI if and only if if it is of type N, its multiple null direction ℓ is ‘degenerate Kundt’, and £ ℓ F = 0 . The result is theory-independent. Next, we discuss the special case of Maxwell fields, both at the level of test fields and of the full Einstein–Maxwell equations. These describe electromagnetic non-expanding waves propagating in various Kundt spacetimes. We further point out that a subset of these solutions possesses a universal property, i.e. they also solve (virtually) any generalized (non-linear and with higher derivatives) electrodynamics, possibly also coupled to Einstein’s gravity.
Does weather aﬀect US bank loan eﬃciency?

The impact of strong emotions or mood on decision making and risk taking is well recognized in behavioral economics and finance. Yet, and in spite of the immense interest, no study, so far, has provided any comprehensive evidence on the impact of weather conditions. This paper provides the theoretical framework to study the impact of weather through its influence on bank manager’s mood on bank inefficiency. In particular, we provide empirical evidence of the dynamic interactions between weather and bank loan inefficiency, using a panel data set that includes 69 banks operating in the US spanning the period 1994 to 2009. Bank loan inefficiency is derived using both a standard stochastic frontier production approach for bank loans and a directional distance function. Then, we employ a Panel-VAR model to derive orthogonalised impulse response functions and variance decompositions, which show responses of the main variables, weather and bank loan inefficiency, to orthogonal shocks. The results provide evidence insinuating the importance of specific weather characteristics, such as temperature and cloud cover time, in explaining the variation of gross loans. quoted depth, return volatility and order imbalance. The volatility estimation based on the range of the intraday prices and on the basis of the standard deviation of the bid-ask mid-point returns. All weather variables are deseasonalized by subtracting its average value of each calendar week (Hirshleifer and Shumway, 2003). They regress stock returns and each trading variable on cloud cover, while controlling for other adverse weather conditions such as snowiness, raininess, temperature and wind speed. They show that cloudiness has a significant influence on stock returns, only at the market open, a significant positive effect on intraday volatility and a negative effect with market depth over the entire trading day.
Ram pressure stripping in a galaxy formation model – I. A novel numerical approach

We develop a new numerical approach to describe the action of ram pressure stripping (RPS) within a semi-analytic model of galaxy formation and evolution which works in combination with non-radiative hydrodynamical simulations of galaxy clusters. The new feature in our method is the use of the gas particles to obtain the kinematical and thermodynamical properties of the intragroup and intracluster medium (ICM). This allows a self-consistent estimation of the RPS experienced by satellite galaxies. We fin d that the ram pressure in the central regions of clusters increases approximately one or der of magnitude between z = 1 and 0, consistent with the increase in the density of the ICM. The mean ram pressure experienced by galaxies within the virial radius increases with decreasing redshift. In clusters with virial masses Mvir ' 10 15 h −1 M� , over 50% of satellite galaxies have experienced ram pressures � 10 −11 h −2 dyn cm −2 or higher for z . 0.5. In smaller clusters (Mvir ' 10 14 h −1 M� ) the mean ram pressures are approximately one order of magnitude lower at all redshifts. RPS has a strong effect on the cold gas content of galaxies for all cluster masses. At z = 0, over 70% of satellite galaxies within the virial radius are complete ly depleted of cold gas. For the more massive clusters the fraction of depleted galaxies is alrea dy established at z ' 1, whereas for the smaller clusters this fraction increases appreciably b etween z = 1 and 0. This indicates that the rate at which the cold gas is stripped depends on the virial mass of the host cluster. Compared to our new approach, the use of an analytic profile to describe the ICM results in an overestimation of the ram pressure larger than 50% for z > 0.5.
ON THE CHEMICAL AND STRUCTURAL EVOLUTION OF THE GALACTIC DISK

We study the detailed properties of the radial metallicity gradient in the stellar disk of our Galaxy to constrain its chemical and structural evolution. For this purpose we select and analyze ∼18,500 disk stars taken from two data sets, the Sloan Digital Sky Survey (SDSS) and the High-Accuracy Radial velocity Planetary Searcher (HARPS). On these surveys we examine the metallicity gradient, Δ[Fe/H]/ΔRg, along the guiding center radii, Rg, of stars and its dependence on the [α/Fe] ratios to infer the original metallicity distribution of the gas disk from which those stars formed and its time evolution. In both sample sources, the thick-disk candidate stars characterized by high [α/Fe] ratios ([α/Fe] > 0.3 in SDSS, [α/Fe] > 0.2 in HARPS) are found to show a positive Δ[Fe/H]/ΔRg, whereas the thin-disk candidate stars characterized by lower [α/Fe] ratios show a negative one. Furthermore, we find that the relatively young thin-disk population characterized by much lower [α/Fe] ratios ([α/Fe] < 0.2 in SDSS, [α/Fe] < 0.1 in HARPS) notably shows a flattening Δ[Fe/H]/ΔRg with decreasing [α/Fe], in contrast to the old one with higher [α/Fe] ratios ([α/Fe] ∼ 0.2 in SDSS, [α/Fe] ∼ 0.1 in HARPS). The possible implication for early disk evolution is discussed in the context of galaxy formation accompanying the rapid infall of primordial gas on the inner disk region, which can generate a positive metallicity gradient, and the subsequent chemical evolution of the disk, which results in a flattening effect of a metallicity gradient at later epochs.
Hamburger Sternwarte plate archives: Historic long-term variability study of active galaxies based on digitized photographic plates: WERTZ et al..

At the Hamburger Sternwarte an effort was started in 2010 with the aim of digitizing its more than 45000 photographic plates and films stored in its plate archives. At the time of writing, more than 31000 plates have already been made available on the Internet for researchers, historians, as well as for the interested public. The digitization process and the Internet presentation of the plates and accompanying hand written material (plate envelopes, logbooks, observer notes) are presented here. To fully exploit the unique photometric and astrometric data, stored on the plates, further processing steps are required including registering the plate to celestial coordinates, masking of the plates, and a calibration of the photo-emulsion darkening curve. To demonstrate the correct functioning of these procedures, historical light curves of two bright BL Lac type active galactic nuclei are extracted. The resulting light curve of the blazar 1ES 1215+303 exhibits a large decrease in the magnitude from $14.25^{+0.07}_{-0.12}$ to $15.94^{+0.09}_{-0.13}$ in about 300 days, which proves the variability in the optical region. Furthermore, we compare the measured magnitudes for the quasar 3C~273 with contemporaneous measurements.
THE EVOLUTION AND EDDINGTON RATIO DISTRIBUTION OF COMPTON THICK ACTIVE GALACTIC NUCLEI

Previous studies of the active galactic nuclei (AGNs) contribution to the cosmic X-ray background (CXB) consider only observable parameters such as luminosity and absorbing column. Here, for the first time, we extend the study of the CXB to physical parameters including the Eddington ratio of the sources and the black hole mass. In order to calculate the contribution to the CXB of AGN accreting at various Eddington ratios, an evolving Eddington ratio space density model is calculated. In particular, Compton thick (CT) AGNs are modeled as accreting at specific, physically motivated Eddington ratios instead of as a simple extension of the Compton thin type 2 AGN population. Comparing against the observed CT AGN space densities and log N–log S relation indicates that CT AGNs are likely a composite population of AGNs made up of sources accreting either at >90% or <1% of their Eddington rate.
Critical current densities and n-values of MgB2 strands over a wide range of temperatures and fields

Transport measurements of critical current density, Jct, in monocore powder-in-tube MgB2 strands have been carried out at temperatures, T, of from 4.2 to 40 K, and in transverse fields, B, of up to 14 T. Processing methods used were conventional continuous tube forming/filling (CTFF) and internal magnesium diffusion (IMD). Strands with several powder compositions were measured, including binary (undoped) MgB2, 2% carbon doped MgB2, and 3% carbon doped MgB2. Magnetization loops (M–B) were also measured, and magnetic critical current density, Jcm, values extracted from them. The transport, Jct(B) and magnetic, Jcm(B), critical current densities were compared. Also studied was the influence of doping on the resistively measured irreversibility field, Birr, and upper critical field, Bc2. Critical current densities, Jct, and n-values were extracted from transport measurements and were found to be universally related (for all B and T) according to in which m = 0.52 ± 0.11. Likewise n was found to be related to B according to n ∝ B−p with a T-dependent p in the range of about 0.08–0.21. Further analysis of the field (B) and temperature (T) dependences of n-value resulted in an expression that enabled n(B,T), for all B and T, to be estimated for a given strand based on the results of transport Jct(B) measurements made at one arbitrarily chosen temperature.
Charmless Two-body Baryonic Bu;d;s Decays Revisited

We study charmless two-body baryonic B decays using the topological amplitude approach. We extend a previous work to include all ground state octet and decuplet nal states with full topological amplitudes. Relations on rates and CP asymmetries are obtained. The number of independent topological amplitudes is signicantly reduced in the large mB asymptotic limit. With the long awaited B 0 ! p p data, we can nally extract information on the topological amplitudes and predict rates of all other modes. The predicted rates are in general with uncertainties of a factor of two by including corrections to the asymptotic relations and from sub-leading contributions. We point out some modes that will cascadely decay to all charged nal states and have large decay