Miracle-dz/UniFAR-FTUs huggingface dataset:
The γ-ray Pulsar J0633+0632 in X-rays

Abstract We analysed Chandra observations of the bright Fermi pulsar J0633+0632 and found evidence of an absorption feature in its spectrum at 804+42−26 eV (the errors are at 90% confidence) with equivalent width of 63+47−36 eV. In addition, we analysed in detail the X-ray spectral continuum taking into account correlations between the interstellar absorption and the distance to the source. We confirm early findings that the spectrum contains non-thermal and thermal components. The latter is equally well described by the blackbody and magnetised atmosphere models and can be attributed to the emission from the bulk of the stellar surface in both cases. The distance to the pulsar is constrained in a range of 1–4 kpc from the spectral fits. We infer the blackbody surface temperature of 108+22−14 eV, while for the atmosphere model, the temperature, as seen by a distant observer, is 53+12−7 eV. In the latter case, J0633+0632 is one of the coldest middle-aged isolated neutron stars. Finally, it powers an extended pulsar wind nebula whose shape suggests a high pulsar proper motion. Looking backwards the direction of the presumed proper motion, we found a likely birthplace of the pulsar—the Rosette nebula, a 50-Myr-old active star-forming region located at about 1.5° from the pulsar. If true, this constrains the distance to the pulsar in the range of 1.2–1.8 kpc.
CHEMICAL ABUNDANCES FOR EVOLVED STARS IN M5: LITHIUM THROUGH THORIUM

We present analysis of high-resolution spectra of a sample of stars in the globular cluster M5 (NGC 5904). The sample includes stars from the red giant branch (RGB; seven stars), the red horizontal branch (two stars), and the asymptotic giant branch (AGB; eight stars), with effective temperatures ranging from 4000 K to 6100 K. Spectra were obtained with the HIRES spectrometer on the Keck I telescope, with a wavelength coverage from 3700 Å to 7950 Å for the HB and AGB sample, and 5300 Å to 7600 Å for the majority of the RGB sample. We find offsets of some abundance ratios between the AGB and the RGB branches. However, these discrepancies appear to be due to analysis effects, and indicate that caution must be exerted when directly comparing abundance ratios between different evolutionary branches. We find the expected signatures of pollution from material enriched in the products of the hot hydrogen burning cycles such as the CNO, Ne–Na, and Mg–Al cycles, but no significant differences within these signatures among the three stellar evolutionary branches especially when considering the analysis offsets. We are also able to measure an assortment of neutron-capture element abundances, from Sr to Th, in the cluster. We find that the neutron-capture signature for all stars is the same, and shows a predominately r-process origin. However, we also see evidence of a small but consistent extra s-process signature that is not tied to the light-element variations, pointing to a pre-enrichment of this material in the protocluster gas.
A Review of Europe’s Circular Economy in the Building Sector

This article evaluates Europe’s building sector’s circular economy (CE). This industry is responsible for 42% of energy consumption, more than 50% of extracted materials, 30% of Europe’s water and waste generation, and 35% of greenhouse gas (GHG) emissions. This study focuses on peer-reviewed articles from Scopus and Web of Science databases. Of the first 1750 publications, 2.9% were eligible for a full-text reading and analysis. Most of the trending studies, 92%, promote the circular economy concept through construction materials rather than analyzing the impact of the construction sector on the environment and finding solutions for better implementation, and 41% promote recycling and reuse as the only options. New Design solutions are in 12% of the studies, six-fold more than Law and Legislation, which is only 2%. Finding an optimal combination of assessing the life cycle of buildings and components and searching for different ways of managing the Construction and Demolition Waste at end-of-life is between 33% and 39%. Ultimately, CE proposed frameworks for the building industry based on 10R principles variations were evaluated. An alternative framework for a circular strategy for the building industry that focuses on Upcycling, replacing the Recover principle is presented.
Effects of Different Endometrial Preparation Regimens during IVF on Incidence of Ischemic Placental Disease for FET Cycles

We conducted this retrospective cohort study aiming to compare the different pregnancy outcomes of endometrial preparation regimens on ischemic placental disease in a frozen embryo transfer cycle. The study included a total of 9351 women who had undergone therapy at our single tertiary hospital from January 2015 to July 2020. The women were divided into three groups depending on their endometrial regimens: natural cycle, stimulation cycle, hormone replacement therapy cycle. The data were analyzed after propensity score matching, then we used multiple linear regression to study the relationship between ischemic placental disease and endometrial regimens, adjusted by confounding factors including age, body mass index, and score of propensity score matching. We performed univariate logistic regression, as well as multivariate logistic regression for ischemic placental disease, small for gestational age infant, placental abruption. and pre-eclampsia, respectively, listing the odds ratio and p-values in the table. As a result, risk of ischemic placental disease and small for gestational age infant were detected as higher in stimulation cycles compared to natural cycles before or after adjustment. Hormone replacement therapy cycles conferred a higher risk of pre-eclampsia and preterm delivery compared to natural cycles. No difference was found between stimulation cycles and hormone replacement therapy cycles, regardless of whether they are adjusted or not. In summary, more pharmacological intervention in endometrial preparation was associated with a higher risk of ischemic placental disease related symptoms than natural cycles for endometrial preparation in women undergoing frozen embryo transfer. Our findings supported that minimizing pharmacological interventions during endometrial preparation when conditions permit has positive implications for improving pregnancy outcomes.
The Diameter and Maximum Link of the Minimum Routing Cost Spanning Tree Problem

The minimum routing cost spanning tree (MRCST) is a spanning tree that minimizes the sum of pairwise distances between its vertices given a weighted graph. In this study, we use Campos Algorithm with slight modifications on the coefficient of spanning potential. Those algorithms were implemented on a random table problem data of complete graphs of order 10 to 100 in increments of 10. The goal is to find the diameter (the largest shortest path distance) and the maximum link (the maximum number of edges connecting two vertices) in the spanning tree solution of MRCST. The result shows that a slight modification of the spanning potential coefficients gives better solutions.
Observer-Based Control for a New Stochastic Maximum Power Point Tracking for Photovoltaic Systems With Networked Control System

This study discusses the new stochastic maximum power point tracking control approach toward the photovoltaic cells (PCs). A PC generator is isolated from the grid, resulting in a direct current microgrid that can provide changing loads. In the course of the nonlinear systems through the time-varying delays, we proposed networked control systems beneath an event-triggered approach basically in the fuzzy system. In this scenario, we look at how random, variable loads impact the PC generator's stability and efficiency. The basic premise of this article is to load changes and the value matching to a Markov chain. PC generators are complicated nonlinear systems that pose a modeling problem. Transforming this nonlinear PC generator model into the Takagi–Sugeno (T--S) fuzzy model is another option. The T--S fuzzy model is presented in a unified framework, for which 1) the fuzzy observer based on this premise variables can be used for approximately in the infinite states to the present system, 2) the fuzzy observer-based controller can be created using the same premises being the observer, and 3) to reduce the impact of transmission burden, an event-triggered method can be investigated. Simulation in the PC generator model for the real-time climate data obtained in China demonstrates the importance of our method. In addition, by using a new Lyapunov–Krasovskii functional for combining with the allowed weighting matrices incorporating mode-dependent integral terms, the developed model can be stochastically stable and achieves the required performances. Based on the tensor-product (T-P) transformation, a new depiction of the nonlinear system is derived in two separate steps in which an adequate controller input is guaranteed in the first step and an adequate vertex polytope is ensured in the second step. To present the potential of our proposed method, we simulate it for PC generators.
Granular structure determined by terahertz scattering

Light scattering from particles reveals static and dynamical information about the particles and their correlations. Such methods are particularly powerful when the wavelength of the light is chosen similar to the sizes and distances of the particles. To apply scattering to investigate granular matter in particular —or other objects of similar submillimeter size— light of suitable wavelength in the terahertz regime needs to be chosen. By using a quantum cascade laser in a benchtop setup we determine the angle-dependent scattering of spherical particles as well as coffee powder and sugar grains. The scattering from single particles can be interpreted by form factors derived within the Mie theory. In addition, collective correlations can be extracted as static structure factors and compared to recent computer simulations.
Probing quantum interference effects in the work distribution

What is the role of coherence in determining the distribution of work done on a quantum system? We approach this question from an operational perspective and consider a setup in which the internal energy of a closed system is recorded by a quantum detector before and after the system is acted upon by an external drive. We find that the resulting work distribution depends on the initial state of the detector as well as on the choice of the final measurement. We consider two complementary measurement schemes, both of which show clear signatures of quantum interference. We specifically discuss how to implement these schemes in the circuit QED architecture, using an artificial atom as the system and a quantized mode of the electromagnetic field as the detector. Different measurement schemes can be realized by preparing the field either in a superposition of Fock states or in a coherent state and exploiting state-of-the art techniques for the characterization of microwave radiation at the quantum level. More generally, the single bosonic mode we utilize is arguably the minimal quantum detector capable of capturing the complementary aspects of the work distribution discussed here.
A Combined Optical and X-ray Study of Unobscured Type 1 AGN. I. Optical Spectra and SED Modeling

We present modeling and interpretation of the continuum and emission lines for a sample of 51 unobscured Type 1 active galactic nuclei (AGN). All of these AGNs have high quality spectra from both XMM-Newton and Sloan Digital Sky Survey (SDSS). We extend the wavelength coverage where possible by adding simultaneous UV data from the OM onboard XMM-Newton. Our sample is selected based on low reddening in the optical and low gas columns implied by their X-ray spectra. They also lack clear signatures for the presence of a warm absorber. Therefore the observed characteristics of this sample are likely to be directly related to the intrinsic properties of the central engine. We perform multi-component spectral fitting for strong optical emission lines and the whole optical spectra. We fit the combined optical, UV and X-ray data by applying a new broadband SED model which comprises the accretion disc emission, low temperature optically thick Comptonisation and a hard X-ray tail by introducing the a corona radius (Done et al. 2011). We find that in order to fit the data, the model often requires an additional long wavelength optical continuum component, whose origin is discussed in this paper. We also find that the Photo-recombination edge of Balmer continuum shifts and broadens beyond the standard limit of 3646{\AA}, implying an electron number density which is far higher than that in the broad line region clouds. Our results indicate that the Narrow Line Seyfert 1s in this sample tend to have lower black hole masses, higher Eddington ratios, softer 2-10 keV band spectra, lower 2-10 keV luminosities and higher \alpha_{ox}, compared with typical broad line Seyfert 1s (BLS1), although their bolometric luminosities are similar. We illustrate these differences in properties by forming an average SED for three subsamples, based on the FWHM velocity width of the H{\beta} emission line.
Self-magnetic compensation and shifted hysteresis loops in ferromagnetic samarium systems

For ${\text{Sm}}^{3+}$ ions in a vast majority of metallic systems, the following interesting scenario has been conjured up for long, namely, a magnetic lattice of tiny self- (spin-orbital) compensated $4f$-moments exchange coupled (and phase reversed) to the polarization in the conduction band. We report here the identification of a self-compensation behavior in a variety of ferromagnetic Sm intermetallics via the fingerprint of a shift in the magnetic hysteresis $(M\text{\ensuremath{-}}H)$ loop from the origin. Such an attribute, designated as exchange bias in the context of ferromagnetic/antiferromagnetic multilayers, accords these compounds a potential for niche applications in spintronics. We also present results on magnetic compensation behavior on small Gd doping $(2.5\text{ }\text{at}\text{.}\text{ }\mathrm{%})$ in one of the Sm ferromagnets (viz., ${\text{SmCu}}_{4}\text{Pd}$). The doped system responds like a pseudoferrimagnet and it displays a characteristic left-shifted linear $M\text{\ensuremath{-}}H$ plot for an antiferromagnet.
THE FIRST VERY LONG BASELINE INTERFEROMETRY IMAGE OF A 44 GHz METHANOL MASER WITH THE KVN AND VERA ARRAY (KaVA)

We have carried out the first very long baseline interferometry (VLBI) imaging of a 44 GHz class I methanol maser (70–61A+) associated with a millimeter core MM2 in a massive star-forming region IRAS 18151−1208 with KaVA (KVN and VERA Array), which is a newly combined array of KVN (Korean VLBI Network) and VERA (VLBI Exploration of Radio Astrometry). We have succeeded in imaging compact maser features with a synthesized beam size of 2.7 milliarcseconds × 1.5 milliarcseconds (mas). These features are detected at a limited number of baselines within the length of shorter than ≈ 650 km corresponding to 100 Mλ in the uv-coverage. The central velocity and the velocity width of the 44 GHz methanol maser are consistent with those of the quiescent gas rather than the outflow traced by the SiO thermal line. The minimum component size among the maser features is ∼5 mas × 2 mas, which corresponds to the linear size of ∼15 AU × 6 AU assuming a distance of 3 kpc. The brightness temperatures of these features range from ∼3.5 × 108 to 1.0 × 1010 K, which are higher than the estimated lower limit from a previous Very Large Array observation with the highest spatial resolution of ∼50 mas. The 44 GHz class I methanol maser in IRAS 18151−1208 is found to be associated with the MM2 core, which is thought to be less evolved than another millimeter core MM1 associated with the 6.7 GHz class II methanol maser.
Applying sample selection methods for panel data to analyse determinants of foreign direct divestment

ABSTRACT This is the first empirical study to examine determinants of both the probability and the volume of foreign direct divestment (FDD) between countries, applying sample selection methods for panel data. The data cover 137 host countries and 169 source countries, from 2004 to 2012. Empirical evidence shows that market size and GDP growth of both host and source countries, as well as a bilateral investment treaty, discourage divestment. By contrast, sharing a common currency has a positive impact on divestment. Distance negatively affects the divestment amount but does not show any statistically significant impact on the probability of divestment. Neither do political stability, colonial relationship, common language, or common religion play an important role in FDD. This study opens up an area for future research in terms of both theory and empirics since FDD is still a neglected area in international economics.
Role of excited states in Shockley-Read-Hall recombination in wide-band-gap semiconductors

Defect-assisted nonradiative Shockley-Read-Hall recombination is an important process in wide-band-gap semiconductors. However, nonradiative capture rates decrease exponentially with the energy of the transition, and therefore the mechanisms by which such recombination can take place are unclear. The authors show here that excited states of defects play a key role in turning specific defects into efficient nonradiative centers. The wider the band gap of the material, the greater a role these excited states are likely to play. Specifically, the authors can explain why certain gallium vacancy complexes are efficient nonradiative centers in group-III nitrides, the key materials for solid-state lighting.
Polarization properties of excitonic qubits in single self-assembled quantum dots

We investigate polarization properties of neutral exciton emission in single self-assembled InAs/GaAs quantum dots. The in-plane shape and strain anisotropy strongly couple the heavy and light hole states and lead to large optical anisotropy with non-orthogonal linearly polarized states misaligned with respect to the crystallographic axes. Owing to a waveguiding experimental configuration, luminescence polarization along the growth axis has been observed revealing the presence of shear components of the deformation tensor out of the growth plane. Resonant luminescence experiments allowed determining the oscillator strength ratio of the two exciton eigenstates. Valence band mixing governs this ratio and can be very different from dot to dot, however the polarization anisotropy axis is quite fixed inside a scanned area of one \mum^{2} and indicates that the in-plane deformation direction to which it is related has a correlation length of the order of magnitude of one \mum^{2}.
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization

Compared with global average pooling in existing deep convolutional neural networks (CNNs), global covariance pooling can capture richer statistics of deep features, having potential for improving representation and generalization abilities of deep CNNs. However, integration of global covariance pooling into deep CNNs brings two challenges: (1) robust covariance estimation given deep features of high dimension and small sample size; (2) appropriate usage of geometry of covariances. To address these challenges, we propose a <italic>global Matrix Power Normalized COVariance (MPN-COV) Pooling</italic>. Our MPN-COV conforms to a robust covariance estimator, very suitable for scenario of high dimension and small sample size. It can also be regarded as Power-Euclidean metric between covariances, effectively exploiting their geometry. Furthermore, a global Gaussian embedding network is proposed to incorporate first-order statistics into MPN-COV. For fast training of MPN-COV networks, we implement an iterative matrix square root normalization, avoiding GPU unfriendly eigen-decomposition inherent in MPN-COV. Additionally, progressive <inline-formula><tex-math notation="LaTeX">$1\times 1$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>1</mml:mn><mml:mo>×</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:math><inline-graphic xlink:href="li-ieq1-2974833.gif"/></alternatives></inline-formula> convolutions and group convolution are introduced to compress covariance representations. The proposed methods are highly modular, readily plugged into existing deep CNNs. Extensive experiments are conducted on large-scale object classification, scene categorization, fine-grained visual recognition and texture classification, showing our methods outperform the counterparts and obtain state-of-the-art performance.
Automatic identification of structural modal parameters based on density peaks clustering algorithm

Estimating modal parameters requires significant user interaction, especially when parametric system identification methods are used and the physical modes are selected in the stabilization diagram. In this paper, a fast density peaks clustering algorithm combined with the covariance‐driven stochastic subspace identification method is used to automatically identify modal parameters. Before the automatic identification process, the spurious modes from the stochastic subspace identification method were eliminated by a two‐stage method, including using the soft and hard verification criteria to remove spurious modes in the first stage and the removal of spurious modes based on the stability of physical modes in the second stage; thus, a better stabilization diagram was obtained for the subsequent automatic identification. Furthermore, fast density peaks clustering algorithm was applied to select the appropriate structure modes from the stabilization diagram. In the entire identification process, no user participation was required. The proposed method was demonstrated on a 4‐degree of freedom (DOF) numerical model and a benchmark frame structure, and the results indicated that the modal parameters can be identified accurately even with the noise effects using the default user‐defined parameters. This method showed higher efficiency and universality than the existing methods. Finally, the applicability and robustness of the proposed method in automated operational mode tracking were verified on a real cable‐stayed bridge.
Evaluation of morphology and angiogenesis of breast cancer in BALB/c mice using trypsin inhibitor from Cucumis melo seeds. In vitro and in vivo study

Introduction Melon seeds, as an excellent source of protease inhibitors, may have a protective role against tumor progression and angiogenesis. However, their effects on angiogenesis and the mechanism of their action against cancer progression remain elusive. This study aimed to investigate the effect of bioactive compounds of melon seed on the expression of angiogenesis genes in BALB/c mice with breast cancer. Material and methods Trypsin inhibitor (TI) was purified from the seed powder of Cucumis melo. Half- maximal inhibitory concentration was determined for TI, extract of melon seed powder (EXT), and tamoxifen (TAM) by the (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) test. Also, breast tumor was induced by subcutaneous injection of MC4–L2 cells in BALB/c inbred mice breast tissue. After tumor growth, mice were treated with TI, EXT, and TAM to examine their effects on the tumor characteristics and expression of angiogenesis-related genes including MMP-2, MMP-9, and vascular endothelial growth factor (VEGF) using the reverse transcription polymerase chain reaction method. Results Trypsin inhibitor, EXT, TAM, and adjuvant treatment of TI + TAM resulted a reduction in expression of MMP-2, MMP-9, and VEGF. All treatments improved the breast tumor characteristics and the necrosis. The real-time polymerase chain reaction method verified the positive effects of the treatments on the breast cancer cell line and tumors. Conclusions The results indicated that treatments with TI purified from Cucumis melo seeds and also combination therapy of TI and TAM can be considered as an alternative therapy in breast cancer patients. Further studies are warranted.