Miracle-dz/UniFAR-FTUs huggingface dataset:
Black hole based quantum computing in labs and in the sky

Analyzing some well established facts, we give a model‐independent parameterization of black hole quantum computing in terms of a set of macro and micro quantities and their relations. These include the relations between the extraordinarily‐small energy gap of black hole qubits and important time‐scales of information‐processing, such as, scrambling time and Page's time. We then show, confirming and extending previous results, that other systems of nature with identical quantum informatics features are attractive Bose‐Einstein systems at the critical point of quantum phase transition. Here we establish a complete isomorphy between the quantum computational properties of these two systems. In particular, we show that the quantum hair of a critical condensate is strikingly similar to the quantum hair of a black hole. Irrespectively whether one takes the similarity between the two systems as a remarkable coincidence or as a sign of a deeper underlying connection, the following is evident. Black holes are not unique in their way of quantum information processing and we can manufacture black hole based quantum computers in labs by taking advantage of quantum criticality.
Inference for low‐ and high‐dimensional inhomogeneous Gibbs point processes

Gibbs point processes (GPPs) constitute a large and flexible class of spatial point processes with explicit dependence between the points. They can model attractive as well as repulsive point patterns. Feature selection procedures are an important topic in high‐dimensional statistical modeling. In this paper, a composite likelihood (in particular pseudo‐likelihood) approach regularized with convex and nonconvex penalty functions is proposed to handle statistical inference for possibly high‐dimensional inhomogeneous GPPs. We particularly investigate the setting where the number of covariates diverges as the domain of observation increases. Under some conditions provided on the spatial GPP and on penalty functions, we show that the oracle property, consistency and asymptotic normality hold. Our results also cover the low‐dimensional case which fills a large gap in the literature. Through simulation experiments, we validate our theoretical results and finally, an application to a tropical forestry dataset illustrates the use of the proposed approach.
Reconstructing the inflaton potential from the spectral index

Recent cosmological observations are in good agreement with the scalar spectral index ns with ns 1 2=N, where N is the number of e-foldings. Quadratic chaotic model, Starobinsky model and Higgs ination or -attractors connecting them are typical examples predicting such a relation. We consider the problem in the opposite: given ns as a function of N, what is the inaton potential V ( ). We nd that for ns 1 = 2=N, V ( ) is either tanh 2 (= 2) ("T-model") or 2 (chaotic ination) to the leading order in the slow-roll approximation. is the ratio of 1=V at N! 1 to the slope of 1=V at a nite N and is related to " " in the -attractors by 2 = 2=3 . The tensor-to-scalar ratio r is r = 8=N( 2 N + 1). The implications for the reheating temperature are also discussed. We also derive formulas for ns 1 = p=N. We nd that if the potential is
Comparison of neutrophils lymphocyte ratio in type-2 diabetes mellitus patients and healthy individuals

Diabetes mellitus is the disease of concern in almost all part of the world including India and it clinical condition characterized by chronic hyperglycaemia. Neutrophils lymphocyte ratio is a relatively newer parameter that has been recently considered as alternate to assess the underlying inflammation and it can be easily determined with the help of complete blood count report. The aim of this study was to observe the status of NLR ratio in newly diagnosed type -2 diabetes mellitus patients and healthy individuals in Indian population. A comparative cross- sectional study was conducted in subjects between 19-60 years of age. A total of 216 age matched type-2 diabetes mellitus patients and 216 healthy individuals were selected for the study. All subjects were investigated for complete blood count, (CBC), Fasting and Postprandial blood sugar, and Glycated Hemoglobin (HbA1c) in hospitals lab services. This study has been conducted in the Department of Physiology in collaboration with Department of Medicine, and Hospital Lab Services after having clearance from the institutional ethical committee at Maharaja Suheldev Autonomous State Medical College and Maharshi Balark Hospital bahraich, uttar Pradesh.
Self-fields in thin superconducting tapes: Implications for the thickness effect in coated conductors

A large decrease in transport current density has been observed in high-temperature superconducting films for increasing film thickness. In this work we theoretically explain the nature and the ubiquitous presence of this so-called thickness effect by analyzing the self-field created by the transport currents in the superconductor, assuming a realistic field-dependent critical-current density Jc. This knowledge can help in finding ways to improve transport current in superconducting films.
Constraining the luminosity function parameters and population size of radio pulsars in globular clusters

Abstract The luminosity distribution of Galactic radio pulsars is believed to be log-normal in form. Applying this functional form to populations of pulsars in globular clusters, we employ Bayesian methods to explore constraints on the mean and standard deviation of the function, as well as the total number of pulsars in the cluster. Our analysis is based on an observed number of pulsars down to some limiting flux density, measurements of flux densities of individual pulsars, as well as diffuse emission from the direction of the cluster. We apply our analysis to Terzan 5 and demonstrate, under reasonable assumptions, that the number of potentially observable pulsars is in a 95.45% credible interval of 133+101−58. Beaming considerations would increase the true population size by approximately a factor of two.
Corporate Landlords and Pandemic and Prepandemic Evictions in Las Vegas

Abstract Research on evictions has found that large landlords are associated with higher absolute and relative numbers of evictions, and pandemic-period filings have brought additional scrutiny to large landlords and corporate landlords in particular. However, not all large landlords are equivalent, and some may be more likely to evict based on the submarkets in which they operate, and the pandemic has likely altered these relationships. This study examines trends in evictions and filings associated with two particular submarkets, extended-stay and single-family rentals, through an analysis of case-level data covering the Las Vegas metropolitan area. Through a series of multivariate analyses, I find that extended-stay properties are associated with higher eviction rates than other multifamily properties during the 12-month period immediately preceding the pandemic. Extended-stay landlords are even more likely to file and evict during the first 12-months of the pandemic. The results are mixed for single-family rentals. Corporate and other large landlords are generally more likely to file and evict prior to the pandemic, but several are no more likely or even far less likely to evict compared to smaller landlords during the pandemic. This study concludes with implications for policy and research.
Investigation of artificial domains realized by local gallium focused ion-beam modification of Pt/Co/Pt trilayer structures

We present the results of experimental investigations of magnetic switching and magnetotransport in a generation of magnetic devices containing artificially patterned domains. Our devices are realized by locally reducing the coercive field of a perpendicularly magnetized Pt(3.5nm)∕Co(0.5nm)∕Pt(1.6nm) trilayer structure using a gallium focused ion beam. Artificial domain walls are created at the interfaces between dosed and undosed regions when an external magnetic field switches the former but not the latter. We have exploited this property to create stripelike domains with widths down to submicron length scales, separated by undosed regions. Using the extraordinary Hall effect to monitor the local magnetization we have investigated the reversal dynamics of these artificial domains by measuring major and minor hysteresis loops. The coercive field of regions irradiated with identical doses systematically increases as their size decreases. In the lower branch of minor loops, reversal is seen to occur via a .
Supplementation with Oral Vitamin C Prior to and during Myeloablative Chemotherapy and Autologous Haematopoietic Stem Cell Transplantation: A Pilot Study

Chemotherapy-related side effects are common in patients undergoing myeloablative chemotherapy and haematopoietic stem cell transplantation. Some, such as oral mucositis, are believed to be due to enhanced oxidative stress and inflammation. Vitamin C, a potent antioxidant with anti-inflammatory properties, becomes severely depleted following myeloablative chemotherapy. The aim of our study was to assess the feasibility and efficacy of oral vitamin C supplementation to restore and maintain adequate vitamin C concentrations in patients undergoing myeloablative chemotherapy and stem cell transplantation. We carried out a pilot randomized controlled trial in 20 patients with myeloma and lymphoma. Placebo or vitamin C tablets (1 g twice daily) were initiated one week prior to transplantation and continued for 4 weeks post-transplantation. Blood samples were collected weekly for analysis of plasma vitamin C concentrations using high-performance liquid chromatography. The patients’ symptoms and quality of life parameters were monitored using the World Health Organization oral toxicity scale and the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ). Pre-supplementation with oral vitamin C doubled vitamin C concentrations relative to placebo by day 0 (median 61 vs. 31 µmol/L), with 60% of those in the vitamin C group achieving concentrations ≥ 50 µmol/L, compared with only 10% in the placebo group. Following chemotherapy and transplantation, significance between the vitamin C and placebo groups was lost by day 7, with only 30% of the patients in the vitamin C group having plasma concentrations ≥ 50 µmol/L. This was partly due to intolerance of the oral intervention due to nausea/vomiting and diarrhoea (40% of the participants in each group). Oral mucositis was also observed in 40% of the participants at day 7 or 14. Overall, our study showed that whilst short-term oral vitamin C pre-supplementation was able to restore adequate vitamin C status by day 0, ongoing supplementation could not maintain adequate vitamin C concentrations following chemotherapy and transplantation. Thus, intravenous vitamin C should be trialled as this bypasses the gastrointestinal system, negating intolerance issues and improving bioavailability of the vitamin.
Modeling mergers of known galactic systems of binary neutron stars

We present a study of the merger of six different known galactic systems of binary neutron stars (BNS) of unequal mass with a mass ratio between 0.75 and 0.99. Specifically, these systems are J1756-2251, J0737-3039A, J1906 + 0746, B1534 + 12, J0453 + 1559 and B1913 + 16. We follow the dynamics of the merger from the late stage of the inspiral process up to ∼20ms after the system has merged, either to form a hyper-massive neutron star (NS) or a rotating black hole (BH), using a semi-realistic equation of state (EOS), namely the seven-segment piece-wise polytropic SLy with a thermal component. For the most extreme of these systems (q = 0.75, J0453 + 1559), we also investigate the effects of different EOSs: APR4, H4, and MS1. Our numerical simulations are performed using only publicly available open source code such as, the Einstein toolkit code deployed for the dynamical evolution and the LORENE code for the generation of the initial models. We show results on the gravitational wave signals, spectrogram and frequencies of the BNS after the merger and the BH properties in the two cases in which the system collapses within the simulated time.
Arbitrary mass Majorana neutrinos in neutrinoless double beta decay

We revisit the mechanism of neutrinoless double beta (NLDBD) decay mediated by the exchange with the heavy Majorana neutrino N of arbitrary mass mN, slightly mixed with the electron neutrino. By assuming the dominance of this mechanism, we update the well-known NLDBD-decay exclusion plot in the mass-mixing angle plane taking into account recent progress in the calculation of nuclear matrix elements within quasiparticle random phase approximation and improved experimental bounds on the NLDBD-decay half-life of Ge-76 and Xe-136. We also consider the known formula approximating the mN dependence of the NLDBD-decay nuclear matrix element in a simple explicit form. We analyze its accuracy and specify the corresponding parameters, allowing one to easily calculate the NLDBD-decay half-life for arbitrary mN for all the experimentally interesting isotopes without resorting to real nuclear structure calculations.
MULTI-SCALE NUMERICAL APPROACH TO THE POLYMER FILLING PROCESS IN THE WELD LINE REGION

In this paper, a multi-scale coupling mathematical model is suggested for simulating the polymer filling process in the weld line region on a micro scale. The model considers two aspects: one is the coupling model based on stresses in the whole cavity region; the other is the multi-scale coupling model of continuum mechanics (CM) and the molecular dynamics (MD) in a weldline region. A weak variational formulation is constructed for the finite element method (FEM), which is coupled with the Verlet algorithm based on the domain decomposition technique. Meanwhile, an overlap region is designed so that the FEM and the MD simulations are consistent with each other. The molecular backbone orientation of the whole cavity is illustrated and the position of the weld line is determined by the characteristics of the molecular backbone orientation. Finally, the properties of the polymer chain in the weld line region are studied conformationally and dynamically. The conformational changes and movement process elucidate that the polymer chains undertake stretching, entangling and orientating. Moreover, the effect of the number of chains and melt temperature on the spatial properties of chain conformation are investigated.
Efficacy and Safety of Regorafenib with or without PD-1 Inhibitors as Second-Line Therapy for Advanced Hepatocellular Carcinoma in Real-World Clinical Practice

Background Regorafenib is the first oral targeted drug as a second-line agent in patients with advanced hepatocellular carcinoma (HCC) who progressed on sorafenib treatment. Recently, several studies demonstrated that the combination of regorafenib and PD-1 inhibitors showed a synergistic effect. Our study aimed to evaluate the efficacy of regorafenib with PD-1 inhibitors (RP) and regorafenib alone (R) as second-line treatment for advanced HCC. Methods From October 2018 to January 2022, our retrospective study evaluated advanced HCC patients who received regorafenib with PD-1 inhibitors or regorafenib alone as a second-line treatment at the Second Affiliated Hospital of Nanchang University, China. The efficacy and safety were compared between RP and R groups. Results In total, 78 patients were enrolled in our study and were separated into two groups – RP group (48) and R group (30) – according to the criteria. The ORR of RP group and R group was 18.8% and 10%, respectively, and the DCR was 66.7% and 43.3%, respectively. The RP group had a longer mPFS (5.9 months vs 3.0 months, P<0.001) and mOS (12.9 months vs 10.3 months, P=0.010) than the R group. Regorafenib monotherapy is an independent prognostic factor for OS and PFS. In OS, subgroup analysis showed that patients with AFP ≥ 400ng/mL, BCLC C stage and extrahepatic metastasis may benefit from RP, while in PFS, subgroup analysis showed that patients with BCLC C stage, AFP ≥ 400ng/mL, extrahepatic metastasis, ALBI ≥-2.60 and first-line treatment of sorafenib may benefit from RP. The incidence of grade 3/4 adverse reaction in the two groups was 22.9% and 23.3%, respectively, with no significant statistically difference (P=0.966). Conclusion In the second-line therapy of advanced HCC, compared to regorafenib alone, the combination of regorafenib and PD-1 inhibitors showed promising efficacy and tolerable drug toxicity.
Evaluation of Knowledge, Attitude, and Protective Behaviors of Teachers Against Dust Phenomenon Based on the Health Belief Model

Awareness of protective behaviors against haze plays an important role in disease prevention and control. Students, who are in turn educated by teachers, are one of the important groups that can transfer health-related concepts to families. Therefore, this study aimed to evaluate teachers' knowledge, attitudes, and behavior regarding adopting healthy behaviors upon exposure to haze using the health belief model (HBM). This descriptive-analytical (cross-sectional) study was performed on 250 primary school teachers from Zabol County by cluster sampling. Data were gathered by multi-section questionnaires. Its validity and reliability have been evaluated. The data were analyzed in SPSS software (version 21) using proper statistical tests at a significance level of P < 0.05. Teachers were in the average age range of 38.66±6.81 years. Mean scores of behavior, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and self-efficacy were obtained as 11.88±2.47, 26.42±43.10, 26.42±4.10, 22.43±4.10, 28.26±5.12, 10.73±2.06, respectively. There was a significant relationship between awareness and protective behavior (r= 0.61, P=0.0012). Health belief model constructs were able to predict about 39.8% of the variance of protective behavior, with the level of Education (B = 0.369) being the strongest predictor. Results show that the design and implementation of educational programs based on the HBM in schools are effective in the promotion of awareness and empowerment with the aim of increasing protective behavior in teachers in the face of the haze phenomenon.
Notion of representative volume element for heterogeneous materials: statistical and numerical approach

The Representative Volume Element (RVE) plays a central role in the mechanics and physics of random heterogeneous materials with a view to predicting their effective properties. A quantitative definition of its size is proposed in this work using a numerical and statistical approach. A RVE size can be associated with a given precision of the estimation of the wanted overall property and the number of realizations of a given volume $V$ of microstructure that one is able to consider. It is shown to depend on the investigated morphological or physical property, the contrast in the properties of the constituents, and their volume fractions. The methodology is developed on a specific random microstructure, namely a two-phase three-dimensional Voronoi mosaic and applied to a real two-phase heterogeneous material from food industry. Large scale finite element simulations of volumes of different sizes are performed in the case of linear elasticity (thermal conductivity respectively), using parallel computing. The volumes are subjected to homogeneous strain (gradient of temperature respectively), stress (heat flux respectively) at the boundary or periodic boundary conditions. The effective properties can be determined for large volumes and a small number of realizations. Conversely, smaller volumes can be used providing that a sufficient number of realizations is considered. A bias in the estimation of the effective properties is observed for too small volumes for all types of boundary conditions. The variance of computed apparent properties for each volume size is used to define the precision of the estimation. The key-notion of integral range is introduced to relate this error estimation and the definition of the RVE size. For given precision and number of realizations, one is able to provide a minimal volume size for the computation of effective properties. The results can also be used to predict the minimal number of realizations that must be considered for a given volume size in order to estimate the effective property for a given precision. The RVE sizes found for elastic and thermal properties, but also for a geometrical property like volume fraction, are compared. A general comparison of the elastic and thermal properties of three different microstructures is given for Voronoi mosaics, two real material from food industry and another virtual model, a boolean model of hexagonal prismatic rods and plates. Computational homogenization technique is used to predict the effective properties from 3D confocal images of real samples. An analysis of the percolation strain fields in deformed samples is proposed to select stiffer or higher conductive products. The present work can be regarded as a first step towards a computational approach of the design of microstructures for wanted overall properties. The aim is to explore new morphologies that can lead to unexpected properties like outstanding stiffness or conductivity, or controlled compliance.
Improved foreground removal in GMRT 610 MHz observations towards redshifted 21-cm tomography

Foreground removal is a challenge for 21-cm tomography of the high-redshift Universe. We use archival Giant Metrewave Radio Telescope (GMRT) data (obtained for completely different astronomical goals) to estimate the foregrounds at a redshift of ∼1. The statistic we use is the cross power spectrum between two frequencies separated by Δν at the angular multipole l, or equivalently the multi-frequency angular power spectrum Cl(Δν). An earlier measurement of Cl(Δν) using these data had revealed the presence of oscillatory patterns along Δν, which turned out to be a severe impediment for foreground removal. Using the same data, in this paper we show that it is possible to considerably reduce these oscillations by suppressing the sidelobe response of the primary antenna elements. The suppression works best at the angular multipoles l for which there is a dense sampling of the u−v plane. For three angular multipoles l= 1405, 1602 and 1876, this sidelobe suppression along with a low order polynomial fitting completely results in residuals of (≤ 0.02 mK2), consistent with the noise at the 3σ level. Since the polynomial fitting is done after estimation of the power spectrum it can be ensured that the estimation of the H i signal is not biased. The corresponding 99 per cent upper limit on the H i signal is , where is the mean neutral fraction and b is the bias.
Feasibility Analysis of Coeurs De Dieu's Strategy on Developing Poetry Appreciation Material into Short Stories

This study analyzes the feasibility of Coeurs De Dieu’s strategy of converting poetry appreciation material into short stories. The study uses a development research design, and a guide on developing a learning strategy was compiled by the authors. Data were collected using questionnaires, interviews, and performance tests to develop poetry into short stories. In addition, descriptive data on the product development process of Coeurs De Dieu’s strategy such as reviews and suggestions from material, media, language, and user experts were also collected. The results of data analysis in this study were categorized as valid, meaning that the Coeurs De Dieu strategy was feasible to use in learning. Keywords: Coeurs De Dieu, poetry appreciation, short story