Miracle-dz/UniFAR-FTUs huggingface dataset:
Automating construction project quality assurance with RFID- and mobile technologies

The most critical part of a construction project is normally the construction elements that form the structure of the building. Concrete construction elements are often used as support structures and on the facade of the building, but they are vulnerable to manufacturing defects as well as being damaged on-site. Such defects can create a lot of additional costs to all parties involved in the project. Discovering and communicating about errors can be problematic as normally quality assurance is done manually and data is stored in paper format. Our research concentrated on automating the quality assurance of concrete elements. The task was approached by embedding RFID-tags in the elements enabling them to be identified wirelessly and associated with information in a data system. In field conditions users identify the construction elements with a mobile phone and interact electronically with the quality assurance system. As the information is created in digital form, the system can analyze it to detect errors and react automatically, notifying people responsible of faults. This paper presents the implementation of the system and discusses challenges and benefits.
Mixing in turbulent jets : scalar measures and isosurface geometry

Experiments have been conducted to investigate mixing and the geometry of scalar isosurfaces in turbulent jets. Specifically, we have obtained high-resolution, highsignal-to-noise-ratio images of the jet-fluid concentration in the far field of round, liquid-phase, turbulent jets, in the Reynolds number range 4.5 x lo3 < Re < 18 x lo3, using laser-induced-fluorescence imaging techniques. Analysis of these data indicates that this Reynolds-number range spans a mixing transition in the far field of turbulent jets. This is manifested in the probability-density function of the scalar field, as well as in measures of the scalar isosurfaces. Classical as well as fractal measures of these isosurfaces have been computed, from small to large spatial scales, and are found to be functions of both scalar threshold and Reynolds number. The coverage of level sets of jet-fluid concentration in the two-dimensional images is found to possess a scale-dependent-fractal dimension that increases continuously with increasing scale, from near unity, at the smallest scales, to 2, at the largest scales. The geometry of the scalar isosurfaces is, therefore, more complex than power-law fractal, exhibiting an increasing complexity with increasing scale. This behaviour necessitates a scaledependent generalization of power-law-fractal geometry. A connection between scaledependent-fractal geometry and the distribution of scales is established and used to compute the distribution of spatial scales in the flow.
Implicit prosody and contextual bias in silent reading

Eye-movement research on implicit prosody has found effects of lexical stress on syntactic ambiguity resolution, suggesting that metrical well-formedness constraints interact with syntactic category assignment. Building on these findings, the present eyetracking study investigates whether contextual bias can modulate the effects of metrical structure on syntactic ambiguity resolution in silent reading. Contextual bias and potential stress-clash in the ambiguous region were crossed in a 2 2 design. Participants read biased context sentences followed by temporarily ambiguous test sentences. In the three-word ambiguous region, main effects of lexical stress were dominant, while early effects of context were absent. Potential stress clash yielded a significant increase in first-pass regressions and re-reading probability across the three words. In the disambiguating region, the disambiguating word itself showed increased processing difficulty (lower skipping and increased re-reading probability) when the disambiguation engendered a stress clash configuration, while the word immediately following showed main effects of context in those same measures. Taken together, effects of lexical stress upon eye movements were swift and pervasive across first-pass and second-pass measures, while effects of context were relatively delayed. These results indicate a strong role for implicit meter in guiding parsing, one that appears insensitive to higher-level constraints. Our findings are problematic for two classes of models, the two-stage garden-path model and the constraint-based competition-integration model, but can be explained by a variation on the two-stage model, the unrestricted race model.
Acoustic Recognition of Multiple Bird Species Based on Penalized Maximum Likelihood

Automatic system for recognition of multiple bird species in audio recordings is presented. Time-frequency segmentation of the acoustic scene is obtained by employing a sinusoidal detection algorithm, which does not require any estimate of noise and is able to handle multiple simultaneous bird vocalizations. Each segment is characterized as a sequence of frequencies over time, referred to as a frequency track. Each bird species is represented by a hidden Markov model that models the temporal evolution of frequency tracks. The decision on the number and identity of bird species in a given recording is obtained based on maximizing the overall likelihood of the set of detected segments, with a penalization applied for increasing the number of bird models used. Experimental evaluations are performed on audio field recordings containing 30 bird species. The presence of multiple bird species is simulated by joining the set of detected segments from several bird species. Results show that the proposed method can achieve recognition performance for multiple bird species not far from that obtained for single bird species, and considerably outperforms majority voting methods.
The Influence of Affective Teacher–Student Relationships on Students’ School Engagement and Achievement

A meta-analytic approach was used to investigate the associations between affective qualities of teacher–student relationships (TSRs) and students’ school engagement and achievement. Results were based on 99 studies, including students from preschool to high school. Separate analyses were conducted for positive relationships and engagement (k = 61 studies, N = 88,417 students), negative relationships and engagement (k = 18, N = 5,847), positive relationships and achievement (k = 61, N = 52,718), and negative relationships and achievement (k = 28, N = 18,944). Overall, associations of both positive and negative relationships with engagement were medium to large, whereas associations with achievement were small to medium. Some of these associations were weaker, but still statistically significant, after correction for methodological biases. Overall, stronger effects were found in the higher grades. Nevertheless, the effects of negative relationships were stronger in primary than in secondary school.
Two-Stage Document Length Normalization for Information Retrieval

The standard approach for term frequency normalization is based only on the document length. However, it does not distinguish the verbosity from the scope, these being the two main factors determining the document length. Because the verbosity and scope have largely different effects on the increase in term frequency, the standard approach can easily suffer from insufficient or excessive penalization depending on the specific type of long document. To overcome these problems, this article proposes two-stage normalization by performing verbosity and scope normalization separately, and by employing different penalization functions. In verbosity normalization, each document is prenormalized by dividing the term frequency by the verbosity of the document. In scope normalization, an existing retrieval model is applied in a straightforward manner to the prenormalized document, finally leading us to formulate our proposed verbosity normalized (VN) retrieval model. Experimental results carried out on standard TREC collections demonstrate that the VN model leads to marginal but statistically significant improvements over standard retrieval models.
Work Stress in the Nursing Profession : An Evaluation of Organizational Causal Attribution

The goal of this study was to examine the role of organizational causal attribution in understanding the relation of work stressors (workrole overload, excessive role responsibility, and unpleasant physical environment) and personal resources (social support and cognitive coping) to such organizational-attitudinal outcomes as work engagement, turnover intention, and organizational identification. In some analyses, cognitive coping was also treated as an organizational outcome. Causal attribution was conceptualized in terms of four dimensions: internalityexternality, attributing the cause of one’s successes and failures to oneself, as opposed to external factors, stability (thinking that the cause of one’s successes and failures is stable over time), globality (perceiving the cause to be operative on many areas of one’s life), and controllability (believing that one can control the causes of one’s successes and failures). Several hypotheses were derived from Karasek’s (1989) Job Demands–Control (JD-C) model and from the Job Demands–Resources (JD-R) model (Demerouti, Bakker, Nachreiner & Schaufeli, 2001). Based on the JD-C model, a number of moderation effects were predicted, stating that the strength of the association of work stressors with the outcome variables (e.g. turnover intentions) varies as a function of the causal attribution; for example, unpleasant work environment is more strongly associated with turnover intention among those with an external locus of causality than among those with an internal locuse of causality. From the JD-R model, a number of hypotheses on the mediation model were derived. They were based on two processes posited by the model: an energy-draining process in which work stressors along with a mediating effect of causal attribution for failures deplete the nurses’ energy, leading to turnover intention, and a motivational process in which personal resources along with a mediating effect of causal attribution for successes foster the nurses’ engagement in their work,
Spatial QRS-T angle in peritoneal dialysis patients: association with carotid artery atherosclerosis, coronary artery calcification and troponin T.

BACKGROUND Abnormal values of the spatial angle between the directions of ventricular depolarization and repolarization (QRS-T) predict potently arrhythmic events and mortality in various patients groups. The study was designed to estimate QRS-T in a group of peritoneal dialysis (PD) patients, and to assess the possible association between QRS-T and coronary artery calcification (CAC), atherosclerosis, and some biochemical measurements. METHODS The angular differences between the maximum spatial QRS and T vectors were reconstructed from ECGs in 57 selected PD patients and in 54 controls. In patients CAC score was performed by using multi-row computed tomography. Atherosclerotic disease was assessed by measuring carotid arteries' intima-media thickness (IMT) and plaque score (sum of the maximum thicknesses in mm of all plaques on both sides) by using an ultrasound scanner. RESULTS QRS-T was higher in patients compared with controls (34.79% B111.97 and 14.95% B17.87 respectively; P < 0.001). Median CAC score equalled 104.5 Agatson units (Au) (range, 0-2478). IMT was 0.832% B10.208, and atherosclerotic plaques were detected in 82.5% of patients. The plaque score was 7.97% B14.49. QRS-T was higher in patients with CAC score >400 Au compared with patients with CAC score <400 Au (P = 0.011). The results of univariate linear regression analysis showed correlation between QRT-T and dialysis duration (r = 0.305, P = 0,020), LVMI (r = 0.311, P = 0.017), HDL (r = -0.361, P = 0.006), cTnT (r = 0.442, P < 0.001), plaque score (r = 0.403, P = 0.001) and CAC score (r = 0.451, P < 0.001). On multivariate analysis, CAC score, plaque score and troponine T were found to be independent predictors of QRS-T values. CONCLUSIONS QRS-T is high in PD patients and is mainly associated with coronary artery calcium burden, atherosclerosis and troponin T elevation. The possible clinical importance of the higher QRS-T in PD patients remains to be confirmed in further studies.
First steps in teaching creative dance to children

This text presents easy-to-follow lesson plans for instructors who have no previous experience in teaching dance to children. It includes 34 short, directed lessons for teachers aiming for an enthusiastic response from children. The lessons can stand alone, giving dance instructors the flexibility to structure programmes appropriate for the ages and individual abilities of the children they are teaching.
Identification and antimicrobial suceptibility profile of bacteria causing bovine mastitis from dairy farms in Pelotas, Rio Grande do Sul.

Mastitis is an inflammatory process of the udder tissue caused mainly by the bacteria Staphylococcus aureus. The indiscriminate use of antibiotics fosters conditions that favor the selection of resistant microorganisms, suppressing at the same time susceptible forms, causing a serious problem in dairy cattle. Given the importance in performing an antibiogram to select the most adequate antimicrobial therapy, the aim of this study was to identify bacteria isolated from cow's milk with mastitis, in dairy farms situated in the city of Pelotas, Rio Grande do Sul, and to determinate the susceptibility profile of these isolates against the antibiotics used to treat this illness. A total of 30 isolates of Staphylococcus spp. , were selected from milk samples from the udder quarters with subclinical mastitis whose species were identified through the Vitek system. The susceptibility profile was performed by the disk diffusion assay, against: ampicillin, amoxicillin, bacitracin, cephalexin, ceftiofur, enrofloxacin, gentamicin, neomycin, norfloxacin, penicillin G, tetracycline and trimethoprim. In the antibiogram, 100.0% of the isolates were resistant to trimethoprim and 96.7% to tetracycline and neomycin, three strains of Staphylococcus spp. , (10.0%) presented resistance to the 12 antibiotics tested and 24 (80.0%) to at least eight. These results showed the difficulty in treating mastitis, due to the pathogens' resistance.
The moral mind : How five sets of innate intuitions guide the development of many culture-specific virtues , and perhaps even modules

1 Introduction Morality is one of the few topics in academe endowed with its own protective spell. A biologist is not blinded by her biological nature to the workings of biology. An economist is not confused by his own economic activity when he tries to understand the workings of markets 1. But students of morality are often biased by their own moral commitments. Morality is so contested and so important to people that it is often difficult to set aside one's humanity and study morality in a clinically detached way. One problem is that the psychological study of morality, like psychology itself (Redding, 2001), has been dominated by politically liberal researchers (which includes us). The lack of moral and political diversity among researchers has led to an inappropriate narrowing of the moral domain to issues of harm/care and fairness/reciprocity/justice (Haidt & Graham, 2007). Morality in most cultures (and for social conservatives in Western cultures), is in fact much broader, including issues of ingroup/loyalty, authority/respect, and purity/sanctity (Haidt & Graham, 2007; in press). This article is about how morality might be partially innate, by which we simply mean organized, to some extent, in advance of experience (Marcus, 2004). We begin by arguing for a broader conception of morality and suggesting that most of the discussion of innateness to date has not been about morality per se; it has been about whether the psychology of harm and fairness is innate. Once we have made our case that morality involves five domains, not two, we turn our attention to the ways in which this diverse collection of motives and concepts might be innate. We consider five hypotheses about the origins of moral knowledge and value, and we endorse one of them (a form of flexible and generative modularity) as being the best candidate. Next, we develop this version of modular morality by describing how the innately specified " first draft " of the moral mind gets modified during development. 1 Of course biologists and economists may be blindly loyal to academic theories, but we suggest that these biases are themselves often manifestations of moral commitments, e.g., the polemics of Steven Jay Gould.
Contrasts and synergies in different biofuel reports

The societal debate on biofuels is characterised by increased complexity. This can hinder the effective governance of the field. This paper attempts a quantitative bird's eye meta-analysis of this complexity by mapping different stakeholder perspectives and expected outcomes as seen in the secondary literature on biofuels, along the lines of the People-Planet-Profit framework. Our analysis illustrates the tension between stated and actual drivers of large scale biofuel development, especially for first generation biofuels. Although environmental (Planet) aspects have dominated the biofuel debate, their overall assessment is mostly negative with regard to first generation biofuels. By contrast, economic (Profit) aspects are the only ones that are assessed positively with regard to first generation biofuels. Furthermore, positive and negative assessments of biofuel development are strongly influenced by the differences in focus between different stakeholder clusters. Stakeholders who appear generally supportive to biofuel development (industry) focus relatively more on aspects that are generally assessed as positive (Profit). By contrast, non-supportive stakeholders (NGO's) tend to focus mainly on aspects that are generally assessed as negative (Planet). Moreover, our analysis of reference lists revealed few citations of primary scientific data, and also that intergovernmental organizations produce the most influential publications in the debate. The surprising lack of listed references to scientific (primary) data reveals a need to assess in which arena the transition of scientific data towards secondary publications takes place, and how one can measure its quality. This work should be understood as a first effort to take some control over a complex and contradictory number of publications, and to allow the effective governance of the field through the identification of areas of overlapping consensus and persisting controversy, without reverting to claims on technical detail.
Raise your Glass: Wine Investment and the Financial Crisis

This paper uses auction hammer prices over the period 1996-2009, with a special emphasis on periods of economic downturns, to examine risk, return and diversification benefits of fine wine. Our research shows evidence that the wine market is heterogeneous with wine regions and price categories evolving differently in terms of volume and turnover. We construct wine indices for various wine regions and prices using repeat-sales regressions and find out that fine wine yields higher returns and has a lower volatility compared to stocks especially in times of economic crises. Forming portfolios for typical investors and taking risk aversion, different financial assets and various wine indices into consideration we confirm that the addition of wine to a portfolio as a separate asset-class is beneficial for private investors. Not only are returns favourably impacted and risk being minimised but skewness and kurtosis are also positively affected. Particularly, during the recent financial crisis these effects are most pronounced and improve portfolio diversification when it is most needed. Most importantly, balancing a portfolio with fine wine has resulted in added return while reducing volatility with the most prestigious and expensive vintages and estates outperforming the General Wine Index (GWI) during the entire research period. Results from the CAPM show that alpha is significantly positive over the period 1996- 2009 while showing a low beta coefficient. The use of a conditional CAPM model allows us to clarify the time-variance of alphas and betas depending on the economic environment that is not generally captured by the traditional CAPM. The time-varying dynamics of alphas and betas are in particular best explained by the spread between BAA- and AAA-rated bonds and the USD/EUR foreign exchange rate. Our findings confirm that wine returns are primarily related to economic conditions and not to the market risk.
The Nigerian “419” Advance Fee Scams: Prank or Peril?

ResumeUne enquete preliminaire sur la nature et l’etendue des escroqueries par l’intermediaire de courriels venus d’Afrique, et qui auraient debute au Nigeria revele des effets plus importants que le multipostage electronique excessif. Ces messages appeles “quatre-un-neuf” — comme la clause juridique du Code criminel nigerian — sont recus par des millions de personnes essentiellement en Amerique du Nord et en Europe, creant ainsi une economie clandestine considerable. Des offres frauduleuses de partager des millions de dollars avec des beneficiaires depourvus de la moindre mefiance ont affecte des millions de gens qui avaient repondu aux lettres, aux telecopies et courriels depuis les annees 1980, avec pour consequence des pertes individuelles de sommes d’argent, des sommes a payer pour se battre en justice, la subversion de l’activite economique legitime et une contribution importante a une culture de corruption, pas necessairement limitee au Nigeria. Nous enquetons sur l’identite des expediteurs, sur l’.
Image restoration via successive compression

In this paper we propose a method for solving various imaging inverse problems via complexity regularization that leverages existing image compression techniques. Lossy compression has already been proposed in the past for Gaussian denoising — the simplest inverse problem. However, extending this approach to more complicated inverse problems (e.g., deblurring, inpainting, etc.) seemed to result in intractable optimization tasks. In this work we address this difficulty by decomposing the complicated optimization problem via the Half Quadratic Splitting approach, resulting in a sequential solution of a simpler l2-regularized inverse problem followed by a rate-distortion optimization, replaced by an efficient compression technique. In addition, we suggest an improved complexity regularizer that quantifies the average block-complexity in the restored signal, which in turn, extends our algorithm to rely on averaging multiple decompressed images obtained from compression of shifted images. We demonstrate the proposed scheme for inpainting of corrupted images, using leading image compression techniques such as JPEG2000 and HEVC.