Miracle-dz/UniFAR-FTUs huggingface dataset:
GATECloud . net : Web-Scale Semantic Annotation and Search Made Easy

The growth of social media and other unstructured content on one hand, and Linked Open Data on the other, now pose a significant challenge for Semantic Web researchers wishing to design, implement, and evaluate semantic annotation algorithms on web scale datasets. Running experiments on standard servers is often too time consuming, whereas implementing these efficiently with MapReduce/Hadoop requires significant engineering skills. This paper presents a cloud-based semantic annotation and search infrastructure, which enables researchers to configure and run easily semantic annotation pipelines, while the infrastructure itself takes care of the distribution problem. The infrastructure also supports shared/crowdsourced gold-standard creation, performance evaluation, efficient text and annotation indexing, and semantic search. The paper also evaluates the performance gains achieved by using the cloud-based infrastructure and presents a cost/benefit analysis against existing similar services.
Examining the relationships between sub-clinical psychopathic traits with shame, guilt and externalisation response tendencies to everyday transgressions

Abstract Although many theories of psychopathy include reference to some form of emotional deficit, surprisingly little research has examined the relationships between psychopathic traits and important self-conscious moral emotions such as shame and guilt. The present study sought to examine these relationships in a sub-clinical sample, taking into account the important theoretical differences between the two emotions. Participants (N = 739) completed a measure of psychopathic traits and a measure of self-conscious affect style. Both primary and secondary psychopathic traits were found to be inversely related to guilt-proneness; however, the effect size was greater for primary psychopathic traits. Primary psychopathic traits were unrelated to shame-proneness, while secondary psychopathic traits were positively related to shame-proneness. Both primary and secondary traits were positively related to externalisation; however the effect size was greater for primary over secondary traits. The findings provide support for affective differences between psychopathy variants.
Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. Many stock prediction studies focus on using macroeconomic indicators, such as CPI and GDP, to train the prediction model. However, daily data of the macroeconomic indicators are almost impossible to obtain. Thus, those methods are difficult to be employed in practice. In this paper, we propose a method that directly uses prices data to predict market index direction and stock price direction. An extensive empirical study of the proposed method is presented on the Korean Composite Stock Price Index (KOSPI) and Hang Seng Index (HSI), as well as the individual constituents included in the indices. The experimental results show notably high hit ratios in predicting the movements of the individual constituents in the KOSPI and HIS.
The impact of cooling flows on the TX–LBol relation for the most luminous clusters

We examine the effects of cooling flows on the TX–LBol relation for a sample of the most X-ray luminous (LBol > 1045 erg s−1) clusters of galaxies known. Using high-quality ASCA X-ray spectra and ROSAT images we explicitly account for the effects of cooling flows on the X-ray properties of the clusters and show that this reduces the previously noted dispersion in the TX–LBol relationship. More importantly, the slope of the relationship is flattened from LBol ∝ T3X to approximately LBol ∝ T2X, in agreement with recent theoretical models which include the effects of shocks and pre-heating on the X-ray gas. We find no evidence for evolution in the TX–LBol relation within z ∼ 0.3. Our results demonstrate that the effects of cooling flows must be accounted for before cosmological parameters can be determined from X-ray observations of clusters. The results presented here should provide a reliable basis for modelling the TX–LBol relation at high X-ray luminosities.
Prenatal and Postnatal Polycyclic Aromatic Hydrocarbon Exposure, Airway Hyperreactivity, and Beta-2 Adrenergic Receptor Function in Sensitized Mouse Offspring

Despite data associating exposure to traffic-related polycyclic aromatic hydrocarbons (PAH) in asthma, mechanistic support has been limited. We hypothesized that both prenatal and early postnatal exposure to PAH would increase airway hyperreactivity (AHR) and that the resulting AHR may be insensitive to treatment with a β 2AR agonist drug, procaterol. Further, we hypothesized that these exposures would be associated with altered β 2AR gene expression and DNA methylation in mouse lungs. Mice were exposed prenatally or postnatally to a nebulized PAH mixture versus negative control aerosol 5 days a week. Double knockout β 2AR mice were exposed postnatally only. Prenatal exposure to PAH was associated with reduced β 2AR gene expression among nonsensitized mice offspring, but not increases in DNA methylation or AHR. Postnatal exposure to PAH was borderline associated with increased AHR among sensitized wildtype, but not knockout mice. In the first study that delivers PAH aerosols to mice in a relatively physiological manner, small effects on AHR and β 2AR gene expression, but not β 2AR agonist drug activity, were observed. If confirmed, the results may suggest that exposure to PAH, common ambient urban pollutants, affects β 2AR function, although the impact on the efficacy of β 2AR agonist drugs used in treating asthma remains uncertain.
Countries’ positioning on personality traits

This article discusses a change in the positioning strategies by countries as tourism destinations from cognitive components to affective ones. The tourism literature recognizes destination personality as an affective evaluation. While previous literature has established that place personality traits are important for Destination Marketing Organizations to consider, little empirical work assessing the personality metaphor in destination branding has been undertaken. This study uses a multistage methodology using a combination of content analysis and correspondence analysis to analyze the use of the personality metaphor in the official English tourism websites of South American countries. Results reveal that South American countries can be classified in four main clusters of different personality profiles: Ecuador is somehow associated with agreeableness; Brazil and Paraguay with openness to experience and conscientiousness; Peru, Chile, Argentina, and Uruguay as strong in extraversion and emotional stability; and Bolivia, Venezuela, and Colombia do not display any dominant personality characteristics. Overall the results indicate that South American countries are not yet using in a substantial way the affective cues of personality traits to create a clear positioning among international tourists.
Novel Small Molecule JP-153 Targets the Src-FAK-Paxillin Signaling Complex to Inhibit VEGF-Induced Retinal Angiogenesis

Targeting vascular endothelial growth factor (VEGF) is a common treatment strategy for neovascular eye disease, a major cause of vision loss in diabetic retinopathy and age-related macular degeneration. However, the decline in clinical efficacy over time in many patients suggests that monotherapy of anti-VEGF protein therapeutics may benefit from adjunctive treatments. Our previous work has shown that through decreased activation of the cytoskeletal protein paxillin, growth factor–induced ischemic retinopathy in the murine oxygen-induced retinopathy model could be inhibited. In this study, we demonstrated that VEGF-dependent activation of the Src/FAK/paxillin signalsome is required for human retinal endothelial cell migration and proliferation. Specifically, the disruption of focal adhesion kinase (FAK) and paxillin interactions using the small molecule JP-153 inhibited Src-dependent phosphorylation of paxillin (Y118) and downstream activation of Akt (S473), resulting in reduced migration and proliferation of retinal endothelial cells stimulated with VEGF. However, this effect did not prevent the initial activation of either Src or FAK. Furthermore, topical application of a JP-153-loaded microemulsion affected the hallmark features of pathologic retinal angiogenesis, reducing neovascular tuft formation and increased avascular area, in a dose-dependent manner. In conclusion, our results suggest that using small molecules to modulate the focal adhesion protein paxillin is an effective strategy for treating pathologic retinal neovascularization. To our knowledge, this is the first paradigm validating modulation of paxillin to inhibit angiogenesis. As such, we have identified and developed a novel class of small molecules aimed at targeting focal adhesion protein interactions that are essential for pathologic neovascularization in the eye.
Colors -- Messengers of Concepts: Visual Design Mining for Learning Color Semantics

This paper studies the concept of color semantics by modeling a dataset of magazine cover designs, evaluating the model via crowdsourcing, and demonstrating several prototypes that facilitate color-related design tasks. We investigate a probabilistic generative modeling framework that expresses semantic concepts as a combination of color and word distributions $-$color-word topics. We adopt an extension to Latent Dirichlet Allocation (LDA) topic modeling called LDA-dual to infer a set of color-word topics over a corpus of 2,654 magazine covers spanning 71 distinct titles and 12 genres. While LDA models text documents as distributions over word topics, we model magazine covers as distributions over color-word topics. The results of our crowdsourced experiments confirm that the model is able to successfully discover the associations between colors and linguistic concepts. Finally, we demonstrate several simple prototypes that apply the learned model to color palette recommendation, design example retrieval, image retrieval, image color selection, and image recoloring.
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs

The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this problem. These algorithms are based on a simple and classic optimization method: the Frank-Wolfe method, which is known to be fast for problems with a large number of linear constraints. Formulating the nonlinear SVM problem to take advantage of this method, we achieve a provable time complexity of O(dQ/2). The proposed algorithms achieve comparable or even better accuracies than the state-of-theart methods, and are significantly faster.
Weighted Road Density and Allergic Disease in Children at High Risk of Developing Asthma

Background Evidence for an association between traffic-related air pollution and allergic disease is inconsistent, possibly because the adverse effects may be limited to susceptible subgroups and these have not been identified. This study examined children in the Childhood Asthma Prevention Study (CAPS), potentially susceptible to air pollution effects because of a family history of asthma. Methods We examined cross-sectional associations at age eight years between road density within 75 m and 50 m of home address weighted by road type (traffic density), as a proxy for traffic-related air pollution, on the following allergic and respiratory outcomes: skin prick tests (SPTs), total and specific serum IgE, pre- and post-bronchodilator lung function, airway hyperresponsiveness, exhaled NO, and reported asthma and rhinitis. Results Weighted road density was positively associated with allergic sensitisation and allergic rhinitis. Adjusted relative risk (RR) for house dust mite (HDM) positive SPT was 1.25 (95% CI: 1.06–1.48), for detectable house dust mite-specific IgE was 1.19 (95% CI: 1.01–1.41) and for allergic rhinitis was 1.30 (95% CI: 1.03–1.63) per 100 m local road or 33.3 m motorway within 50 m of home. Associations were also seen with small decrements of peak and mid-expiratory flows and increased risk of asthma, current wheeze and rhinitis in atopic children. Conclusion Associations between road density and allergic disease were found in a potentially susceptible subgroup of children at high risk of developing atopy and asthma.
Optimal multiplexing on a single link: delay and buffer requirements

This paper is motivated by the need to support multiple service classes in fast packet-switched networks. The authors address the problem of characterizing and designing scheduling policies that are optimal in the sense of minimizing buffer and/or delay requirements under the assumption of commonly accepted traffic constraints. They investigate the buffer requirements under three typical memory allocation mechanisms, that represent trade-offs between efficiency and complexity. For classes with delay constraints they provide policies that are optimal in the sense of satisfying the constraints if they are satisfiable by any policy, and they also have low buffer requirements. They also address the issue of designing policies that satisfy delay constraints in a fair manner. They mainly concern ourselves with non-preemptive policies. One of the proposed policies is based on a class of non-preemptive policies that tracks preemptive policies. This class is introduced in this paper and may be of interest in other applications as well. <<ETX>>
Clostridium difficile Infection in Pediatric Inflammatory Bowel Disease

Abstract:Children with inflammatory bowel disease (IBD) are disproportionately susceptible to Clostridium difficile infection (CDI) and the incidence is increasing. There has also been growing recognition of asymptomatic C. difficile colonization in pediatric IBD, which can sometimes be very difficult to distinguish from symptomatic C. difficile–associated disease in this population. In this study, we discuss the current knowledge of C. difficile infection in children with IBD, reviewing epidemiology, risk factors, and outcomes that often differ from the adult IBD population, and discuss the complexities and dilemmas of diagnosing and treating CDI in pediatric IBD.
On the Effect of Quantum Interaction Distance on Quantum Addition Circuits

We investigate the theoretical limits of the effect of the quantum interaction distance on the speed of exact quantum addition circuits. For this study, we exploit graph embedding for quantum circuit analysis. We study a logical mapping of qubits and gates of any Ω(log n)-depth quantum adder circuit for two n-qubit registers onto a practical architecture, which limits interaction distance to the nearest neighbors only and supports only one- and two-qubit logical gates. Unfortunately, on the chosen k-dimensional practical architecture, we prove that the depth lower bound of any exact quantum addition circuits is no longer Ω(log n), but Ω(k√n). This result, the first application of graph embedding to quantum circuits and devices, provides a new tool for compiler development, emphasizes the impact of quantum computer architecture on performance, and acts as a cautionary note when evaluating the time performance of quantum algorithms.
Localization of audio sources by multiple binaural sensors

Binaural source localization is based on use of two sensors to perform localization of audio sources in a generic environment. Head related transfer functions (HRTF) are employed to model the features of binaural biological systems. A possible approach to binaural localization is based on joint exploitation of the Interaural Level Difference (ILD) and the Interaural Time Difference (ITD) [1]. Unfortunately in real environments the presence of reverberation limits the localization capabilities of this solution. In this paper a possible alternative approach is presented. The proposed solution is based on multiple binaural systems opportunely deployed in the environment and cooperating to the common task of estimating the position of the source. Simulations are described to corroborate the feasibility of the proposed approach.
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification

Automatic Document Classification (ADC) is the basis of many important applications such as spam filtering and content organization. Naive Bayes (NB) approaches are a widely used classification paradigm, due to their simplicity, efficiency, absence of parameters and effectiveness. However, they do not present competitive effectiveness when compared to other modern statistical learning methods, such as SVMs. This is related to some characteristics of real document collections, such as class imbalance, feature sparseness and strong relationships among attributes. In this paper, we investigate whether the relaxation of the NB feature independence assumption (aka, Semi-NB approaches) can improve its effectiveness in large text collections. We propose four new Lazy Semi-NB strategies that exploit different ideas for alleviating the NB independence assumption. By being lazy, our solutions focus only on the most important features to classify a given test document, overcoming some Semi-NB issues when applied to ADC such as bias towards larger classes and overfitting and/or lack of generalization of the models. We demonstrate that our Lazy Semi-NB proposals can produce superior effectiveness when compared to state-of-the-art ADC classifiers such as SVM and KNN. Moreover, to overcome some efficiency issues of combining Semi-NB and lazy strategies, we take advantage of current manycore GPU architectures and present a massively parallelized version of the Semi-NB approaches. Our experimental results show that speedups of up to 63.36 times can be obtained when compared to serial solutions, making our proposals very practical in real-situations.
Effects of chromium picolinate supplementation on insulin sensitivity, serum lipids, and body composition in healthy, nonobese, older men and women.

BACKGROUND Chromium is an essential nutrient required for carbohydrate and lipid metabolism. Chromium supplementation in humans has been reported to improve glucose metabolism and improve serum lipid parameters and to reduce body fat; parameters that worsen with aging. As a result, chromium picolinate has been widely promoted as a health aid for the general population. The purpose of the study was to examine the effects of chromium supplementation on insulin sensitivity, serum lipids, and body composition in nonobese, healthy men and women of advanced age. METHODS A randomized, double-blind, placebo-controlled study with 19 subjects (9 men and 10 women), aged 63-77, were given either chromium picolinate, 1,000 microg/d, or a placebo for 8 weeks. Serum lipids were measured at baseline and 8 weeks. Insulin sensitivity and body composition were measured with the minimal-model intravenous glucose tolerance test and dual-energy x-ray absorptiometry scan, respectively, at baseline and after 8 weeks of chromium or placebo supplementation. RESULTS No significant change in serum lipids, insulin sensitivity, or body composition was observed in the chromium group compared with the placebo group. CONCLUSIONS Chromium picolinate supplementation alone does not appear to improve insulin sensitivity, serum lipids, or change body composition in nonobese, healthy men and women of advanced age.
The Adiponectin Receptor Homologs in C. elegans Promote Energy Utilization and Homeostasis

Adiponectin is an adipokine with insulin-sensitising actions in vertebrates. Its receptors, AdipoR1 and AdipoR2, are PAQR-type proteins with 7-transmembrane domains and topologies reversed that of GPCR's, i.e. their C-termini are extracellular. We identified three adiponectin receptor homologs in the nematode C. elegans, named paqr-1, paqr-2 and paqr-3. These are differently expressed in the intestine (the main fat-storing tissue), hypodermis, muscles, neurons and secretory tissues, from which they could exert systemic effects. Analysis of mutants revealed that paqr-1 and -2 are novel metabolic regulators in C. elegans and that they act redundantly but independently from paqr-3. paqr-2 is the most important of the three paqr genes: mutants grow poorly, fail to adapt to growth at low temperature, and have a very high fat content with an abnormal enrichment in long (C20) poly-unsaturated fatty acids when combined with the paqr-1 mutation. paqr-2 mutants are also synthetic lethal with mutations in nhr-49, sbp-1 and fat-6, which are C. elegans homologs of nuclear hormone receptors, SREBP and FAT-6 (a Δ9 desaturase), respectively. Like paqr-2, paqr-1 is also synthetic lethal with sbp-1. Mutations in aak-2, the C. elegans homolog of AMPK, or nhr-80, another nuclear hormone receptor gene, suppress the growth phenotype of paqr-2 mutants, probably because they restore the balance between energy expenditure and storage. We conclude that paqr-1 and paqr-2 are receptors that regulate fatty acid metabolism and cold adaptation in C. elegans, that their main function is to promote energy utilization rather than storage, and that PAQR class proteins have regulated metabolism in metazoans for at least 700 million years.
Binding of TFIIIC to SINE Elements Controls the Relocation of Activity-Dependent Neuronal Genes to Transcription Factories

In neurons, the timely and accurate expression of genes in response to synaptic activity relies on the interplay between epigenetic modifications of histones, recruitment of regulatory proteins to chromatin and changes to nuclear structure. To identify genes and regulatory elements responsive to synaptic activation in vivo, we performed a genome-wide ChIPseq analysis of acetylated histone H3 using somatosensory cortex of mice exposed to novel enriched environmental (NEE) conditions. We discovered that Short Interspersed Elements (SINEs) located distal to promoters of activity-dependent genes became acetylated following exposure to NEE and were bound by the general transcription factor TFIIIC. Importantly, under depolarizing conditions, inducible genes relocated to transcription factories (TFs), and this event was controlled by TFIIIC. Silencing of the TFIIIC subunit Gtf3c5 in non-stimulated neurons induced uncontrolled relocation to TFs and transcription of activity-dependent genes. Remarkably, in cortical neurons, silencing of Gtf3c5 mimicked the effects of chronic depolarization, inducing a dramatic increase of both dendritic length and branching. These findings reveal a novel and essential regulatory function of both SINEs and TFIIIC in mediating gene relocation and transcription. They also suggest that TFIIIC may regulate the rearrangement of nuclear architecture, allowing the coordinated expression of activity-dependent neuronal genes.
Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task

We discuss a data-driven analysis of EEG data recorded during a combined EEG/fMRI study of visual processing during a contour integration task. The analysis is based on an ensemble empirical mode decomposition (EEMD) and discusses characteristic features of event related modes (ERMs) resulting from the decomposition. We identify clear differences in certain ERMs in response to contour vs noncontour Gabor stimuli mainly for response amplitudes peaking around 100 [ms] (called P100) and 200 [ms] (called N200) after stimulus onset, respectively. We observe early P100 and N200 responses at electrodes located in the occipital area of the brain, while late P100 and N200 responses appear at electrodes located in frontal brain areas. Signals at electrodes in central brain areas show bimodal early/late response signatures in certain ERMs. Head topographies clearly localize statistically significant response differences to both stimulus conditions. Our findings provide an independent proof of recent models which suggest that contour integration depends on distributed network activity within the brain.