Miracle-dz/UniFAR-FTUs huggingface dataset:
A test of the failed disc wind scenario for the origin of the broad-line region in active galactic nuclei

It has been recently proposed that the broad line region in active galactic nuclei originates from dusty clouds driven from the accretion disk by radiation pressure, at a distance from the black hole where the disk is cooler than the dust sublimation temperature. We test this scenario by checking the consistency of independent broad line region and accretion disk reverberation measurements, for a sample of 11 well studied active galactic nuclei. We show that independent disk and broad line region reverberation mapping measurements are compatible with a universal disk temperature at the H{\beta} radius of T[R(H{\beta})]=1670(231) K which is close to typical dust sublimation temperatures.
Elliptic flow of electrons from heavy-flavor hadron decays in Au+Au collisions at $\sqrt{s_{\rm NN}} = $ 200, 62.4, and 39 GeV

We present measurements of elliptic flow ($v_2$) of electrons from the decays of heavy-flavor hadrons ($e_{HF}$) by the STAR experiment. For Au+Au collisions at $\sqrt{s_{\rm NN}} = $ 200 GeV we report $v_2$, for transverse momentum ($p_T$) between 0.2 and 7 GeV/c using three methods: the event plane method ($v_{2}${EP}), two-particle correlations ($v_2${2}), and four-particle correlations ($v_2${4}). For Au+Au collisions at $\sqrt{s_{\rm NN}}$ = 62.4 and 39 GeV we report $v_2${2} for $p_T<2$ GeV/c. $v_2${2} and $v_2${4} are non-zero at low and intermediate $p_T$ at 200 GeV, and $v_2${2} is consistent with zero at low $p_T$ at other energies. The $v_2${2} at the two lower beam energies is systematically lower than at $\sqrt{s_{\rm NN}} = $ 200 GeV for $p_T<1$ GeV/c. This difference may suggest that charm quarks interact less strongly with the surrounding nuclear matter at those two lower energies compared to $\sqrt{s_{\rm NN}} = 200$ GeV.
MULTI-WAVELENGTH VIEW OF KILOPARSEC-SCALE CLUMPS IN STAR-FORMING GALAXIES AT z ∼ 2

This paper studies the properties of kiloparsec-scale clumps in star-forming galaxies at z ∼ 2 through multi-wavelength broadband photometry. A sample of 40 clumps is identified from Hubble Space Telescope (HST)/Advanced Camera for Surveys (ACS) z-band images through auto-detection and visual inspection from 10 galaxies with 1.5 < z < 2.5 in the Hubble Ultra Deep Field, where deep and high-resolution HST/WFC3 and ACS images enable us to resolve structures of z ∼ 2 galaxies down to the kiloparsec scale in the rest-frame UV and optical bands and to detect clumps toward the faint end. The physical properties of clumps are measured through fitting spatially resolved seven-band (BVizYJH) spectral energy distribution to models. On average, the clumps are blue and have similar median rest-frame UV–optical color as the diffuse components of their host galaxies, but the clumps have large scatter in their colors. Although the star formation rate (SFR)–stellar mass relation of galaxies is dominated by the diffuse components, clumps emerge as regions with enhanced specific star formation rates, contributing individually ∼10% and together ∼50% of the SFR of the host galaxies. However, the contributions of clumps to the rest-frame UV/optical luminosity and stellar mass are smaller, typically a few percent individually and ∼20% together. On average, clumps are younger by 0.2 dex and denser by a factor of eight than diffuse components. Clump properties have obvious radial variations in the sense that central clumps are redder, older, more extincted, denser, and less active on forming stars than outskirt clumps. Our results are broadly consistent with a widely held view that clumps are formed through gravitational instability in gas-rich turbulent disks and would eventually migrate toward galactic centers and coalesce into bulges. Roughly 40% of the galaxies in our sample contain a massive clump that could be identified as a proto-bulge, which seems qualitatively consistent with such a bulge-formation scenario.
A study on the growth mechanism and the process parameters controlling aluminum oxide thin films deposition by pulsed pressure MOCVD

Aluminum oxide thin films were deposited on silicon substrates under different deposition conditions using pulse pressure metal organic chemical vapour deposition (PP-MOCVD). The current study investigates into the growth mechanism of the deposited film and the control of the film morphology by varying the processing parameters of PP-MOCVD - choice of solvent, concentration, and presence of a shield. Aluminum sec-butoxide (ASB) was used as the aluminum source while hexane and toluene were used as the solvents. The films were deposited at 475oC at different precursor concentrations. It was observed that the choice of solvent has no effect on the surface morphology, but it influenced the deposition rate. The improved deposition rate, relatively close enthalpy of vaporisation ({\Delta}H) values and uniformity of the film, irrespective of the growth conditions, showed that hexane was a better solvent for ASB than toluene. A hybrid mode of vapour deposition and vapour condensation model for thin film growth is proposed where five different mechanisms lead to a solid film formation. These include vapour phase deposition under low arrival rate, vapour phase deposition under high arrival rate, Leidenfrost aerosol formation, heterogeneous particle formation and liquid droplet impingement. The important parameter that needs to be controlled is the precursor flux arrival rate which can be controlled by varying the precursor concentration, use of a solvent with a low {\Delta}H and the presence of a shield over the substrate, which influences the surface morphology and the growth rate of the films.
Negative entanglement measure for bipartite separable mixed states

We define a negative entanglement measure for separable states which shows how much entanglement one should compensate the unentangled state, at the least, to change it into an entangled state. For two-qubit systems and some special classes of states in higher-dimensional systems, the explicit formula and the lower bounds for the negative entanglement measure (NEM) have been presented, and it always vanishes for bipartite separable pure states. The negative entanglement measure can be used as a useful quantity to describe the entanglement dynamics and the quantum phase transition. In the transverse Ising model, the first derivatives of negative entanglement measure diverge on approaching the critical value of the quantum phase transition, although these two-site reduced density matrices have no entanglement at all. In the one-dimensional (1D) Bose-Hubbard model, the NEM as a function of t/U changes from zero to negative on approaching the critical point of quantum phase transition.
How achromatic is the stellar scintillation on large telescopes

The atmospheric scintillation of stars is the main reason why the ground-based photometry of astronomical objects has limited accuracy. This becomes particularly noticeable for a variability study with amplitudes of the order of thousandths of stellar magnitude or less. We examine the problem of colour scintillation (i.e. fluctuations of the difference between light intensities measured simultaneously in two different photometric bands). We derive the relations between the colour scintillation power (index) and the atmospheric turbulence, telescope diameter and the characteristics of the photometric channels. Asymptotic dependences for large telescopes (1–10 m) are obtained, which allow us to predict the value of the colour scintillation for a particular telescope and detector. It is shown that the colour scintillation index is ∝ D−3 for measurements with both short (milliseconds) and long (seconds) exposures. We estimate the impact of the atmospheric dispersion, which amplifies colour scintillation away from the zenith. We show that colour scintillation in the long-exposure regime depends strongly on the wind direction in the upper atmosphere.
FaSmi1 Is Essential for the Vegetative Development, Asexual Reproduction, DON Production and Virulence of Fusarium asiaticum

Smi1 is a protein required for cell cycle progression, morphogenesis, stress response and life span of Saccharomyces cerevisiae. FaSmi1 was identified as a Smi1 homolog in a wheat scab pathogenic fungus Fusarium asiaticum strain 2021. The deletion of FaSmi1 leads to defects in mycelial growth, asexual reproduction, and virulence. The FaSmi1 deletion mutant also exhibited increased sensitivity to osmotic stresses generated by NaCl and KCl, but increased tolerance to oxidative stresses and cell wall integrity inhibitors. All of these defects were restored by genetic complementation of the mutant with the whole parental FaSmi1 gene. Interestingly, the antioxidant system-associated genes exhibit a lower expression level and the mycotoxins’ DON content was decreased in the FaSmi1 deletion mutant compared with the parental strain 2021. These results indicate that FaSmi1 plays a critical role in the vegetative development, asexual reproduction, DON production and virulence of F. asiaticum.
Growing up in a rough world: scaling of frictional adhesion and morphology of the Tokay gecko (Gekko gecko)

Many geckos have the remarkable ability to reversibly adhere to surfaces using a hierarchical system that includes both internal and external elements. The vast majority of studies have examined the performance of the adhesive system using adults and engineered materials and substrates (e.g., acrylic glass). Almost nothing is known about how the system changes with body size, nor how these changes would influence the ability to adhere to surfaces in nature. Using Tokay geckos (Gekko gecko), we examined the post-hatching scaling of morphology and frictional adhesive performance in animals ranging from 5 to 125 grams in body mass. We quantified setal density, setal length, and toepad area using SEM. This was then used to estimate the theoretical maximum adhesive force. We tested performance with 14 live geckos on eight surfaces ranging from extremely smooth (acrylic glass) to relatively rough (100-grit sandpaper). Surfaces were attached to a force transducer, and multiple trials were conducted for each individual. We found that setal length scaled with negatively allometry, but toepad area scaled with isometry. Setal density remained constant across the wide range in body size. The relationship between body mass and adhesive performance was generally similar across all surfaces, but rough surfaces had much lower values than smooth surfaces. The safety factor went down with body mass and with surface roughness, suggesting that smaller animals may be more likely to occupy rough substrates in their natural habitat.
Fusion products and toroidal algebras

We study the category of finite--dimensional bi--graded representations of toroidal current algebras associated to finite--dimensional complex simple Lie algebras. Using the theory of graded representations for current algebras, we construct in different ways objects in that category and prove them to be isomorphic. As a consequence we obtain generators and relations for certain types of fusion products including the $N$--fold fusion product of $V(\lambda)$. This result shows that the fusion product of these types is independent of the chosen parameters, proving a special case of a conjecture by Feigin and Loktev. Moreover, we prove a conjecture by Chari, Fourier and Sagaki on truncated Weyl modules for certain classes of dominant integral weights and show that they are realizable as fusion products. In the last section we consider the case $\mathfrak{g}=\mathfrak{sl}_2$ and compute a PBW type basis for truncated Weyl modules of the associated current algebra.
Circadian rhythm and heart disease - what is the link? A review

Introduction and purpose: Cardiovascular disease (CVD) is still the leading cause of death worldwide and causes 49% of mortality in Europe. This makes CVD is the most important reason for premature mortality and Disability Adjusted Life Years (“DALYS”) in that continent. It is associated with variables such as blood pressure, heart rate, circulating catecholamines, markers of blood coagulation and vascular endothelial function which are dependent on different times of the day. The epidemiological data indicate that the biggest number of CVD incidents occur during the early morning hours. In this work we try to discuss the circadian rhythm and its impact on variables which, according to data, are most crucial on CV incident rate. Brief description of the state of knowledge: The cardiovascular disease and mortality risk is associated with variables such as morning blood pressure, fluctuations in metabolism rate or even in immunological response. These variables are dependent on the circadian rhythm. This article covers the most crucial components affected by the daily fluctuations considering the heart according to the literature from the last five years. Conclusions: This review highlighted the link between circadian rhythm and cardiovascular disease with the purpose of focusing on the most important clinically aspects of that machinery from blood pressure to inflammation. Despite all of these exciting findings which could possibly have future implications in the field of cardiology, there is still a significant need to explore this complicated relationship between the biological clock and the heart.
How well do third-order aperture mass statistics separate E- and B-modes?

With third-order statistics of gravitational shear it will be possible to extract valuable cosmological information from ongoing and future weak lensing surveys that is not contained in standard second-order statistics because of the non-Gaussianity of the shear field. Aperture mass statistics are an appropriate choice for third-order statistics because of their simple form and their ability to separate E- and B-modes of the shear. However, it has been demonstrated that second-order aperture mass statistics suffer from E-/B-mode mixing because it is impossible to reliably estimate the shapes of close pairs of galaxies. This finding has triggered developments of several new second-order statistical measures for cosmic shear. Whether the same developments are needed for third-order shear statistics is largely determined by how severe this E-/B-mixing is for third-order statistics. We tested third-order aperture mass statistics against E-/B-mode mixing and found that the level of contamination is well described by a function of θ/θmin ,w hereθmin is the cutoff scale. At angular scales of θ> 10 θmin, the decrease in the E-mode signal due to E-/B-mode mixing is lower than 1 percent, and the leakage into B-modes is even less. For typical small-scale cutoff st his E-/B-mixing is negligible on scales larger than a few arcminutes. Therefore, third-order aperture mass statistics can safely be used to separate E- and B-modes and infer cosmological information, for ground-based surveys as well as forthcoming space-based surveys such as Euclid.
Strategies to I ncrease E xports of Wine Companies of the Valle de Guadalupe R egion in Baja California, México

This research analyzes the exports of wine companies in the Valle de Guadalupe region in the State of Baja California, Mexico. The objective is to determine the factors that induce strategic decision making to achieve a high-performance level of productive capacity. The hypothesis suggests that production, technological innovation, and competitiveness are the factors that favor the exports of these wine companies. For the statistical analysis, Partial Least Squares structural equation modeling (PLS-SEM) is used, including the evaluation of the out-of-sample predictive power by means of PLS predict. The methodology used includes a qualitative analysis of the current situation on the subject and a quantitative study of data obtained by applying a 41-item instrument to ninety-two companies. The main findings show that the variable that presents a higher degree of association is competitiveness and the variable that presents a lower degree is production. Another finding is that there is a need to strengthen collaborative projects with a Cluster Approach, in which the collaboration network between these companies, government agencies, wine associations and educational institutions must be actively involved. The main strategies proposed are three: the first in relation to competitiveness is to improve operational planning to increase productivity. The second is to achieve a more competitive price by purchasing supplies collaboratively between companies; the existing common bond and business cooperation will allow exports to increase. The third is to manage a greater participation of the government, in terms of financing and support, investment in highway infrastructure, reduction of taxes on this item and the sustainable administration of the State's water resources.
MULTI-CHANNEL SPEECH DEREVERBERATION AND DENOISING USING DEEP LEARNING BASED ALGORITHM

: Dereverberation of speech signals in a hands-free scenario by adaptive algorithms has been a research topic for several years now. Speech is more natural approach of gaining access to information, monitoring things and interacting. However, its intuitiveness is not convenient while interacting with computer. In real time situations, the speech quality is degraded by reverberation occurred in rooms and background noise. These effects causes combine corrupt the speech signal and overall speech level degraded resulting in listening issues in human beings moreover, for hearing-impaired persons. Neural network based speech dereverberation has achieved promising results in recent studies. This algorithm investigates deep learning based multi-channel speech dereverberation. For multi-channel processing, we first denoising the signals using symlet wavelet, and then LSTM for Dereverberation, which is expected to be a filtered version of target signals. The performance of the proposed algorithm is evaluated using performance evaluation metrics such Perceptual Evaluation of Speech Quality (PESQ) and LLR are used to validate our results.
IMPACT OF IOT (INTERNET OF THINGS) IN ARCHITECTURAL DESIGN AND CONSTRUCTION

: It is a well-known fact that the visualization of architectural design in 3D view is very necessary to enhance the execution and deployment rather to educate people. The Internet of Things (IoT) has been beneficial to visualize the things. Aside from traditional information collection from construction field using electronic devices such as telephone, mobile an internet based IoT technology with processed and refined data transfer enhances the system performance. IoT can improve things that contribute to a better decision making on time and also predicting the problems arises in advance. The working environment for architectural design and building construction because of IoT and AI is more realistic in nature also provides security through the use of smart cameras, and climate control is accomplished through the use of smart architectural design software. Smart rendering systems at large effective in providing more energy-efficient visualization. IoT on site means a live connection and a more collaborative future for taking decisions and managing the problems. IoT devices facilitates and made impact on every aspect of construction field and gives better access from remote places through communication channels .
ULMFiT at GermEval-2018: A Deep Neural Language Model for the Classiﬁcation of Hate Speech in German Tweets

This paper describes the entry hshl coarse 1.txt for Task I (Binary Classiﬁcation) of the Germeval Task 2018 - Shared Task on the Identiﬁcation of Offensive Language . For this task, German tweets were classiﬁed as either offensive or non-offensive. The entry employs a task-speciﬁc classiﬁer built on top of a medium-speciﬁc language model which is built on top of a universal language model. The approach uses a deep recurrent neural network, speciﬁcally the AWD-LSTM architecture. The universal language model was trained on 100 million unlabeled articles from the German Wikipedia and the medium-speciﬁc language model was trained on 303,256 unlabeled tweets. The classiﬁer was trained on the labeled tweets that were provided by the organizers of the shared task.
Xatu: boosting existing DDoS detection systems using auxiliary signals

Traditional DDoS attack detection monitors volumetric traffic features to detect attack onset. To reduce false positives, such detection is often conservative---raising an alert only after a sustained period of observed anomalous behavior. However, contemporary attacks tend to be short, which combined with a long detection delay means that most of the attack still reaches and impacts the victim. We propose Xatu, a system that utilizes auxiliary signals to improve the accuracy and timeliness of existing DDoS detection systems. We explore two types of auxiliary signals, attack preparation signals and the history of prior attacks. These signals can be easily mined from existing traffic monitoring systems in many ISP networks. To leverage these auxiliary signals for attack detection, we propose a multi-timescale LSTM model, which derives both long-term and short-term patterns from diverse auxiliary signals. We then leverage survival analysis to quickly detect attacks when they occur while minimizing false positives and thus scrubbing costs. We evaluate Xatu on traffic from a large ISP, using commercial defense alert data to label prevalent attack events. Xatu would help the commercial defense scrub up to 44.1% additional anomalous traffic and would reduce its median detection delay by 9.5 minutes.1
Critical Path Exploration Dashboard for Alert-driven Attack Graphs

Figure 1: The critical path exploration dashboard for alert-driven attack graphs. Attacker strategies extracted from the uploaded intrusion alerts are visualized as a: (1) Graph explorer showing a unified view of all strategies, (2) Timeline viewer allowing analysts to analyze individual attacker actions, and (3) Recommender matrix highlighting the alerts that require urgent attention of an analyst.
Những nhân tố tác động tới ý định sử dụng mạng facebook của sinh viên đại học ngoài công lập tại Thành phố Hồ Chí Minh

This article reviewed factors having impact on students' intention to use the facebook network at non-public universities in Ho Chi Minh City. The theoretical basis was analyzed and synthesized from previous studies. Quantitative methods, such as factorial analysis and multiple regression, were used for data analysis. Research findings showed the impact factors included: Helpfulness, resources sharing, enjoyment, collaboration and social environment.
Direct observation of magnetic cycles in Sun-like stars

A sample of 19 solar-type stars, probing masses between 0.6 and 1.4 solar mass and rotation periods between 3.4 and 43 days, was regularly observed using the NARVAL spectropolarimeter at Telescope Bernard Lyot (Pic du Midi, France) between 2007 and 2011. The Zeeman-Doppler Imaging technique is employed to reconstruct the large-scale photospheric magnetic field structure of the targets and investigate its long-term temporal evolution. We present here the first results of this project with the observation of short magnetic cycles in several stars, showing up a succession of polarity reversals over the timespan of our monitoring. Preliminary trends suggest that short cycles are more frequent for stellar periods below a dozen days and for stellar masses above about one solar mass. The cycles lengths unveiled by the direct tracking of polarity switches are significantly shorter than those derived from previous studies based on chromospheric activity monitoring, suggesting the coexistence of several magnetic timescales in a same star.