Miracle-dz/UniFAR-FTUs huggingface dataset:
Revealing a hard X-ray spectral component that reverberates within one light hour of the central supermassive black hole in Ark 564

Ark 564 (z=0.0247) is an X-ray-bright NLS1. By using advanced X-ray timing techniques, an excess of "delayed" emission in the hard X-ray band (4-7.5 keV) following about 1000 seconds after "flaring" light in the soft X-ray band (0.4-1 keV) was recently detected. We report on the X-ray spectral analysis of eight XMM-Newton and one Suzaku observation of Ark 564. High-resolution spectroscopy was performed with the RGS in the soft X-ray band, while broad-band spectroscopy was performed with the EPIC-pn and XIS/PIN instruments. We analysed time-averaged, flux-selected, and time-resolved spectra. Despite the strong variability in flux during our observational campaign, the broad-band spectral shape of Ark 564 does not vary dramatically and can be reproduced either by a superposition of a power law and a blackbody emission or by a Comptonized power-law emission model. High-resolution spectroscopy revealed ionised gas along the line of sight at the systemic redshift of the source, with a low column density and a range of ionisation states. Broad-band spectroscopy revealed a very steep intrinsic continuum and a rather weak emission feature in the iron K band; modelling this feature with a reflection component requires highly ionised gas. A reflection-dominated or an absorption-dominated model are similarly able to well reproduce the time-averaged data from a statistical point of view, in both cases requiring contrived geometries and/or unlikely physical parameters. Finally, through time-resolved analysis we spectroscopically identified the "delayed" emission as a spectral hardening above ~4 keV; the most likely interpretation for this component is a reprocessing of the "flaring" light by gas located at 10-100 r_g from the central supermassive black hole that is so hot that it can Compton-upscatter the flaring intrinsic continuum emission.
Tacit Knowledge: Some Suggestions for Operationalization

With the emergence of the resource-based view of the firm and of the concept of core competencies, intangible resources, and tacit knowledge in particular have been argued to occupy a central place in the development of sustainable competitive advantage. This is because tacit knowledge is argued to be difficult to imitate, to substitute, to transfer and it is rare. However, there is little empirical research to support this theoretical proposition. Tacit knowledge has so far resisted operationalization. This paper sets out to define the term tacit knowledge and proposes to redefine it, within the context of the resource-based view of the firm, as tacit skills. A methodology (based on causal mapping, self-Q and storytelling) for empirically researching the subject is outlined.
Efficient Transactional-Memory-based Implementation of Morph Algorithms on GPU

General Purpose GPUs (GPGPUs) are ideal platforms for parallel execution of applications with regular shared memory access patterns. However, majority of real world multithreaded applications require access to shared memory with irregular patterns. The morph algorithms, which arise in many real world applications, change their graph data structures in unpredictable ways, thus, leading to irregular access patterns to shared data. Such irregularity makes morph algorithms more challenging to be implemented on GPUs which favor regularity. The Borouvka’s algorithm for calculating Minimum Spanning Forest (MSF), and multilevel graph partitioning are two examples of morph algorithms with varied levels of expressed parallelism. In this work we show that a transactional-memory-based design and implementation of the morph algorithms on GPUs can handle some of the challenges arising due to irregularities such as complexity of code and overhead of synchronization. First, we identify the major phases of the algorithm which requires synchronization of the shared data. If the algorithm exhibits certain algebraic properties (e.g., monotonicity, idempotency, associativity), we can use lock-free synchronizations for performance; otherwise we utilize a Software Transactional Memory (STM) based synchronization method. Experimental results show that our GPU-based implementation of Borouvka’s algorithm outperforms both the fastest sequential implementation and the existing STM-based implementation on multicore CPUs when tested on large-scale graphs with diverse densities. Moreover, to show the applicability of our approach to other morph algorithms, we do a pen-and-paper implementation and complexity analysis of multilevel graph partitioning.
Where is Your Evidence: Improving Fact-checking by Justification Modeling

Fact-checking is a journalistic practice that compares a claim made publicly against trusted sources of facts. Wang (2017) introduced a large dataset of validated claims from the POLITIFACT.com website (LIAR dataset), enabling the development of machine learning approaches for fact-checking. However, approaches based on this dataset have focused primarily on modeling the claim and speaker-related metadata, without considering the evidence used by humans in labeling the claims. We extend the LIAR dataset by automatically extracting the justification from the fact-checking article used by humans to label a given claim. We show that modeling the extracted justification in conjunction with the claim (and metadata) provides a significant improvement regardless of the machine learning model used (feature-based or deep learning) both in a binary classification task (true, false) and in a six-way classification task (pants on fire, false, mostly false, half true, mostly true, true).
Starbursts in and out of the star-formation main sequence

Aims. We use high-resolution continuum images obtained with the Atacama Large Millimeter Array (ALMA) to probe the surface density of star formation in z ~ 2 galaxies and study the different physical properties between galaxies within and above the star-formation main sequence of galaxies. Methods. We use ALMA images at 870 μm with 0.2 arcsec resolution in order to resolve star formation in a sample of eight star-forming galaxies at z ~ 2 selected among the most massive Herschel galaxies in the GOODS-South field. This sample is supplemented with eleven galaxies from the public data of the 1.3 mm survey of the Hubble Ultra-Deep Field, HUDF. We derive dust and gas masses for the galaxies, compute their depletion times and gas fractions, and study the relative distributions of rest-frame ultraviolet (UV) and far-infrared (FIR) light. Results. ALMA reveals systematically dense concentrations of dusty star formation close to the center of the stellar component of the galaxies. We identify two different starburst regimes: (i) the classical population of starbursts located above the SFR-M⋆ main sequence, with enhanced gas fractions and short depletion times and (ii) a sub-population of galaxies located within the scatter of the main sequence that experience compact star formation with depletion timescales typical of starbursts of ~150 Myr. In both starburst populations, the FIR and UV are distributed in distinct regions and dust-corrected star formation rates (SFRs) estimated using UV-optical-near-infrared data alone underestimate the total SFR. Starbursts hidden in the main sequence show instead the lowest gas fractions of our sample and could represent the last stage of star formation prior to passivization. Being Herschel-selected, these main sequence galaxies are located in the high-mass end of the main sequence, hence we do not know whether these “starbursts hidden in the main sequence” also exist below 1011 M⊙. Active galactic nuclei (AGNs) are found to be ubiquitous in these compact starbursts, suggesting that the triggering mechanism also feeds the central black hole or that the active nucleus triggers star formation.
Simultaneous Occurrence of Bioactive Compounds (Melatonin, Protocatechuic Acid and Hydroxytyrosol) Increases Their Neuroprotective Effects Against Alpha-Synuclein-Induced Proteotoxicity

The abnormal assembly of α-synuclein (α-Syn) is an initial step in the formation of Lewy bodies in the brain, which finally causes the neuronal death, being considered as a pathological hallmark in Parkinson’s disease (PD). Certain food bioactives or their metabolites at very low concentrations can trespass the blood brain barrier (BBB) that might, thereafter, act simultaneously. The aim of this work was to evaluate the inhibitory and destabilising capacities on α-Syn kinetics and the neuroprotective effects of three well-known bioactive compounds able to cross the BBB and present in foods; melatonin (MEL), protocatechuic acid (PCA) and hydroxytyrosol (HT), and their combinations. For this purpose, different in vitro techniques (Thioflavin T (ThT), Transmission Electronic Microscopy (TEM), electrophoresis and MTT assay) were used. All tested compounds and their combinations were able to abolish the toxicity induced by α-Syn. In addition, the combination of PCA (100 µM) +HT (100 µM) showed the highest inhibitory effect against α-Syn fibril formation and destabilises α-Syn fibrils (88 and 62%, respectively). This is the first time that MEL, PCA and HT prove a joint effect against α-Syn aggregation and toxicity when they are tested together.
Classification of non stationary signals using multiscale decomposition

The aim of this article is to develop an automatic algorithm for the classification of non stationary signals. The application context is to classify uterine electromyogram (EMG) events to prevent the onset of preterm birth. The idea is to discriminate between the events by allocating them to the physiological classes: contractions, foetus motions, Alvarez or Long Duration Low Frequency waves. Our method is based on the Wavelet Packet (WP) decomposition and the choice of a best basis for classification purpose. Before classification, there is a need to detect events in the recorded signals. The discrimination criterion is based on the calculation of the ratio between intra-class variance and total variance (sum of the intra-class and inter-class variances), calculated directly from the coefficients of the selected WP. We evaluated the performance of the algorithm on real signals by using the classification methods Neural Networks (NN) and Support Vector Machines (SVM). Subband energies of the best selected WP are used as effective features. The determined best basis is applicable to a wide range of uterine EMG signals from large range of patients. In most cases, more than 85% of events are well classified whatever the term of gestation.
Social and cultural geography in the Czech Republic: under pressures of globalization and post-totalitarian transformation

In the last two decades there has been an important shift towards studies of sociocultural issues in most of the social sciences and also in human geography. This thematic shift has been brought about through a number of circumstances. First there have been accelerated interactions and interdependences in the world system which have increased as economic, social and cultural relationships have come to stretch worldwide. Globalization processes have led to new social inequalities and have also been reflected in science, politics and the lives of citizens. Simultaneously, there has been growing tensions among some sociocultural macro-systems of the current world (civilizations in conceptions of Huntington 1996, or Krejčı́ 2004) that cannot be understood purely in terms of differentiations in economic development level, but in terms of a deeper and long-term articulation of mass value orientations and attitudes, and thus through socio-cultural embedding of actual economic and political behaviour. It seems that interactions and interdependences in the current world system have led to a scale shift in perception of differences from the level of ‘between nations’ to the one of ‘between civilizations’ (Dostál and Hampl 2000). Changing conditions of economic growth and mass value orientations of populations in the rich ‘western’ civilization are of specific significance and tend to increase importance of subjective factors (human and social capital), on the one hand, and articulation of post-materialist value orientations, on the other (Inglehart 1997). The stress now put upon globalization processes tends to emphasize external pressures as the source of social and cultural changes taking place in individual countries. Second, there have been pressures of posttotalitarian (or post-communist) transformation. The collapse of the communist bloc at Social & Cultural Geography, Vol. 8, No. 3, June 2007
Game Theory for Dynamic Spectrum Access

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Game Theory for Dynamic Spectrum Access Samir M. Perlaza, Merouane Debbah, Samson Lasaulce, Jean Marie Chaufray
Stellar population gradients in galaxy discs from the CALIFA survey - The influence of bars

While studies of gasphase metallicity gradients in disc galaxies are common, very little has been done towards the acquisition of stellar abundance gradients in the same regions. We present here a comparative study of the stellar metallicity and age distributions in a sample of 62 nearly face-on, spiral galaxies with and without bars, using data from the CALIFA survey. We measure the slopes of the gradients and study their relation with other properties of the galaxies. We find that the mean stellar age and metallicity gradients in the disc are shallow and negative. Furthermore, when normalized to the effective radius of the disc, the slope of the stellar population gradients does not correlate with the mass or with the morphological type of the galaxies. In contrast to this, the values of both age and metallicity at similar to 2.5 scale lengths correlate with the central velocity dispersion in a similar manner to the central values of the bulges, although bulges show, on average, older ages and higher metallicities than the discs. One of the goals of the present paper is to test the theoretical prediction that non-linear coupling between the bar and the spiral arms is an efficient mechanism for producing radial migrations across significant distances within discs. The process of radial migration should flatten the stellar metallicity gradient with time and, therefore, we would expect flatter stellar metallicity gradients in barred galaxies. However, we do not find any difference in the metallicity or age gradients between galaxies with and without bars. We discuss possible scenarios that can lead to this lack of difference.
SPECTRAL CHARACTERIZATION OF THE NIGERIAN SHORELINE USING LANDSAT IMAGERY

Summary The challenges of shoreline mapping include the high costs of acquiring up-to-date survey data over the coastal area. As a result, in many developing countries, the shoreline has not been consistently mapped. The variety of methods used for this mapping and the large time differences between the surveys (on the order of decades) could result in inaccuracies in shoreline data. This study presents the development of a shoreline characterization procedure for the Nigerian coastline using satellite remote sensing technology. The study goal is to produce a complete, consistent and continuous shoreline map using publicly available data processed in a GIS environment. A spectral analysis using different satellite bands was conducted to define the land/water boundary and characterize the coastal area around the shoreline. The satellite-derived shorelines were compared to charted shorelines for adequacy and consistency. The procedure was developed based on study sites along the Nigerian coastline. Although the shoreline characterization procedure is developed based on datasets from Nigeria, the procedure should be suitable for use in mapping other developing areas around world.
A Projective-to-Conformal Fefferman-Type Construction

We study a Fefferman-type construction based on the inclusion of Lie groups SL(n + 1) into Spin(n + 1, n + 1). The construction associates a split-signature (n, n)-conformal spin structure to a projective structure of dimension n. We prove the existence of a canonical pure twistor spinor and a light-like conformal Killing field on the constructed conformal space. We obtain a complete characterisation of the constructed conformal spaces in terms of these solutions to overdetermined equations and an integrability condition on the Weyl curvature. The Fefferman-type construction presented here can be understood as an alternative approach to study a conformal version of classical Patterson-Walker metrics as discussed in recent works by Dunajski-Tod and by the authors. The present work therefore gives a complete exposition of conformal Patterson-Walker metrics from the viewpoint of parabolic geometry.
Efficient Institutions for the Private Enforcement of Law

OUR present legal institutions combine elements of private and public enforcement of law. If someone breaks your arm you call a policeman; if he breaks a window or a contract, you call a lawyer. Becker and Stigler have suggested that it would be advantageous to extend private enforcement into the area where law is now enforced publicly. ' Their central argument is that the public system has perverse incentives. Suppose a policeman has evidence that will convict me of an offense, the punishment for which is equivalent (to me) to a twenty thousand dollar fine. If the cost to the policeman of "losing" the evidence is anything less than twenty thousand dollars, an opportunity exists for a mutually beneficial transaction. Preventing such transactions is costly. The solution proposed by Becker and Stigler is for the policeman's salary to consist of the fines produced by his activity. The only bribe he would then be willing to take would be one at least as large as the fine, in which case the "bribe" is simply a way of collecting the fine while avoiding the cost of a trial. In such a system the "policeman" is essentially a private agent. Becker and Stigler envisage a system of private enforcement firms that support themselves by the fines they collect from the criminals they apprehend and convict. If the criminal is judgment proof, the state would provide a reward equal to the fine the criminal would have paid if payment could have been enforced.
Local gravity versus local velocity: solutions for β and non-linear bias

We perform a reconstruction of the cosmological large scale flows in the nearby Universe using two complementary observational sets. The first, the SFI++ sample of Tully-Fisher (TF) measurements of galaxies, provides a direct probe of the flows. The second, the whole sky distribution of galaxies in the 2MASS redshift survey (2MRS), yields a prediction of the flows given the cosmological density parameter, , and a biasing relation between mass and galaxies. We aim at an unbiased comparison between the peculiar velocity fields extracted from the two data sets and its implication on the cosmological parameters and the biasing relation. We expand the fields in a set of orthonormal basis functions, each representing a plausible realization of a cosmological velocity field smoothed in such a way as to give a nearly constant error on the derived SFI++ velocities. The statistical analysis is done on the coefficients of the modal expansion of the fields by means of the basis functions. Our analysis completely avoids the strong error covariance in the smoothed TF velocities by the use of orthonormal basis functions and employs elaborate mock data sets to extensively calibrate the errors in 2MRS predicted velocities. We relate the 2MRS galaxy distribution to the mass density field by a linear bias factor, b, and include a luminosity dependent, / L � , galaxy weighting. We assess the agreement between the fields as a �
Economic Growth and Biodiversity: An Overview: Conservation Policies in Africa

From the economic literature on the relationship between economic growth and environment pioneered by Grossman and Krueger (1991) and Shafik and Bandyopadhyay (1992) we first conduct a theoretical and critical reflection on the existence of a Kuznets curve for biodiversity. It appears that results are strongly contrasted; economic growth does not seem to be necessarily the solution of biodiversity loss. Then, we focus on the main biodiversity conservation policies implemented in Africa (with the example of Cote d’Ivoire), i.e. protected areas and we discuss its effectiveness in achieving the dual objective of conservation and economic development for local communities.
Heterogeneous ice nucleation on atmospheric aerosols: a review of results from laboratory experiments

Abstract. A small subset of the atmospheric aerosol population has the ability to induce ice formation at conditions under which ice would not form without them (heterogeneous ice nucleation). While no closed theoretical description of this process and the requirements for good ice nuclei is available, numerous studies have attempted to quantify the ice nucleation ability of different particles empirically in laboratory experiments. In this article, an overview of these results is provided. Ice nucleation "onset" conditions for various mineral dust, soot, biological, organic and ammonium sulfate particles are summarized. Typical temperature-supersaturation regions can be identified for the "onset" of ice nucleation of these different particle types, but the various particle sizes and activated fractions reported in different studies have to be taken into account when comparing results obtained with different methodologies. When intercomparing only data obtained under the same conditions, it is found that dust mineralogy is not a consistent predictor of higher or lower ice nucleation ability. However, the broad majority of studies agrees on a reduction of deposition nucleation by various coatings on mineral dust. The ice nucleation active surface site (INAS) density is discussed as a simple and empirical normalized measure for ice nucleation activity. For most immersion and condensation freezing measurements on mineral dust, estimates of the temperature-dependent INAS density agree within about two orders of magnitude. For deposition nucleation on dust, the spread is significantly larger, but a general trend of increasing INAS densities with increasing supersaturation is found. For soot, the presently available results are divergent. Estimated average INAS densities are high for ice-nucleation active bacteria at high subzero temperatures. At the same time, it is shown that INAS densities of some other biological aerosols, like certain pollen grains, fungal spores and diatoms, tend to be similar to those of dust. These particles may owe their high ice nucleation onsets to their large sizes. Surface-area-dependent parameterizations of heterogeneous ice nucleation are discussed. For immersion freezing on mineral dust, fitted INAS densities are available, but should not be used outside the temperature interval of the data they were based on. Classical nucleation theory, if employed with only one fitted contact angle, does not reproduce the observed temperature dependence for immersion nucleation, the temperature and supersaturation dependence for deposition nucleation, and the time dependence of ice nucleation. Formulations of classical nucleation theory with distributions of contact angles offer possibilities to overcome these weaknesses.