Miracle-dz/UniFAR-FTUs huggingface dataset:
Real‐time fMRI using brain‐state classification

We have implemented a real‐time functional magnetic resonance imaging system based on multivariate classification. This approach is distinctly different from spatially localized real‐time implementations, since it does not require prior assumptions about functional localization and individual performance strategies, and has the ability to provide feedback based on intuitive translations of brain state rather than localized fluctuations. Thus this approach provides the capability for a new class of experimental designs in which real‐time feedback control of the stimulus is possible—rather than using a fixed paradigm, experiments can adaptively evolve as subjects receive brain‐state feedback. In this report, we describe our implementation and characterize its performance capabilities. We observed ∼80% classification accuracy using whole brain, block‐design, motor data. Within both left and right motor task conditions, important differences exist between the initial transient period produced by task switching (changing between rapid left or right index finger button presses) and the subsequent stable period during sustained activity. Further analysis revealed that very high accuracy is achievable during stable task periods, and that the responsiveness of the classifier to changes in task condition can be much faster than signal time‐to‐peak rates. Finally, we demonstrate the versatility of this implementation with respect to behavioral task, suggesting that our results are applicable across a spectrum of cognitive domains. Beyond basic research, this technology can complement electroencephalography‐based brain computer interface research, and has potential applications in the areas of biofeedback rehabilitation, lie detection, learning studies, virtual reality‐based training, and enhanced conscious awareness. Hum Brain Mapp 2006. © 2006 Wiley‐Liss, Inc.
Title A monotonic statistical machine translation approach tospeaking style transformation

This paper presents a method for automatically transforming faithful transcripts or ASR results into clean transcripts for human consumption using a framework we label speaking style transformation (SST). We perform a detailed analysis of the types of corrections performed by human stenographers when creating clean transcripts, and propose a model that is able to handle the majority of the most common corrections. In particular, the proposed model uses a framework of monotonic statistical machine translation to perform not only the deletion of disfluencies and insertion of punctuation, but also correction of colloquial expressions, insertions of omitted words, and other transformations. We provide a detailed description of the model implementation in the weighted finite state transducer (WFST) framework. An evaluation of the proposed model on both faithful transcripts and speech recognition results of parliamentary and lecture speech demonstrates the effectiveness of the proposed model in performing the wide variety of corrections necessary for creating clean transcripts.
East-West Trade Before the EU-expansion - A Gravity Model Analysis

When the EU expanded to include ten new countries, the popular opinion was that this would inevitably lead to large increases in trade flows between eastern and western Europe. However, economists have studied the potential for increased trade between the two regions since the fall of the Berlin wall, and much of the evidence indicates that the EU already had a very good bilateral trade relationship with all of the new EU- members as early as the mid-nineties. This, coupled with the fact that the EU already is such an open market, and that the accession agreements had granted the future members even better access, indicates that the popular opinions might be incorrect. This paper investigates the question by using the gravity model of trade, and concludes that the evidence is somewhat unclear, which in itself attests to the success of pre-accession trade integration efforts.
Cognitive functioning in schizophrenia : structure and clinical correlates

Schizofrenie en verwante psychosen komen we tegen bij ongeveer 1,5% van de bevolking. Symptomen die kenmerkend zijn voor schizofrenie zijn achterdocht, stemmen horen, vervlakt gevoelsleven en initiatiefverlies. Daarnaast hebben veel patienten problemen met plannen, concentreren en het geheugen. Dit noemen we ook wel ‘cognitieve functiestoornissen’. De studies beschreven in dit proefschrift maakten deel uit van het Nederlandse project Genetic Risk and Outcome of Psychosis (GROUP). Er werd nader ingegaan op twee deelgebieden van het cognitieve functioneren: werkgeheugen en mentale flexibiliteit. Verder werd aandacht besteed aan verschillen tussen patienten op gebied van cognitief functioneren. Om te kijken naar de rol van familiale factoren werd het cognitieve profiel van de gezonde broer of zus gerelateerd aan het profiel van hun ziekte familielid. Ook werden patienten gegroepeerd op basis van hoe ze in het dagelijks leven functioneerden voordat ze voor het eerst een psychose kregen. Als laatste werd ingegaan op de relevantie van cognitief functioneren voor ziekte-inzicht, met specifieke aandacht voor de rol van sociaal inlevingsvermogen.
Limited Attention, Salience and Changing Prices: Evidence from a Field Experiment in Online Supermarket Shopping

How do consumers allocate their attention over price fluctuations in multiple products, and how do they respond to information on these price changes? We address these questions using data from a field experiment on a website that offers purchase and delivery from one large local supermarket chain in the U.S. Our main findings indicate that (i) a large proportion of consumers forego significant saving opportunities that they were aware of, (ii) consumers are more likely to compare prices between substitutes that appear close to each other, and (iii) personalized "nudges" have a differential effect on consumers. Furthermore, we propose a typology of shoppers and shopping trips, based on a level of attentiveness, and show that nudges and information provision helps only the "attentive" shoppers.
Mean-Reversion Across MENA Stock Markets: Implications for Portfolio Allocations

Are stock market returns mean-reverting in the region? Mean reversion in a stock market suggests that bad returns are likely to be followed by periods of good returns. By contrast, in a random walk setting, the future is a flip of a coin, regardless of the return outcomes in earlier periods. An important implication to our findings is that because MENA stock returns exhibit mean reversion, the volatility of returns would be lower than that implied by a random walk model. Using recent stock market data between 1995 and 2000 on Egypt, Jordan, Morocco, and Turkey we find evidence of mean reversion and introduce a non-parametric model to estimate the reverting mean and speed of reversion. Monte Carlo simulations demonstrate how the volatility of stock returns is dampened by a high speed of reversion. Our results have an important bearing on the pricing of equity derivatives in MENA and are useful for investors employing tactical asset allocation strategies.
Visual memory in methamphetamine-dependent individuals: deficient strategic control of encoding and retrieval

Objective: Chronic use of methamphetamine (MA) has moderate effects on neurocognitive functions associated with frontal systems, including the executive aspects of verbal episodic memory. Extending this literature, the current study examined the effects of MA on visual episodic memory with the hypothesis that a profile of deficient strategic encoding and retrieval processes would be revealed for visuospatial information (i.e., simple geometric designs), including possible differential effects on source versus item recall. Method: The sample comprised 114 MA-dependent (MA+) and 110 demographically-matched MA-nondependent comparison participants (MA−) who completed the Brief Visuospatial Memory Test − Revised (BVMT-R), which was scored for standard learning and memory indices, as well as novel item (i.e., figure) and source (i.e., location) memory indices. Results: Results revealed a profile of impaired immediate and delayed free recall (p<0.05) in the context of preserved learning slope, retention, and recognition discriminability in the MA+ group. The MA+ group also performed more poorly than MA− participants on Item visual memory (p<0.05) but not Source visual memory (p>0.05), and no group by task-type interaction was observed (p>0.05). Item visual memory demonstrated significant associations with executive dysfunction, deficits in working memory, and shorter length of abstinence from MA use (p<0.05). Conclusions: These visual memory findings are commensurate with studies reporting deficient strategic verbal encoding and retrieval in MA users that are posited to reflect the vulnerability of frontostriatal circuits to the neurotoxic effects of MA. Potential clinical implications of these visual memory deficits are discussed.
Best strategy of thromboembolic prophylaxis after knee arthroscopy : a systematic review and meta-analysis of 9 randomized trials

Introduction: Currently, prevention of deep vein thrombosis after arthroscopic knee surgery is in dispute. The aim of this study was to conduct a meta-analysis of all randomized controlled trials published, determining whether anticoagulation should be performed after knee arthroscopies (KA). Materials and methods: A comprehensive literature search was conducted through October 24, 2017. PubMed, Embase, Web of Science, Cochrane Library, CISCOM, CINAHL, and Google Scholar databases were searched. The aim was to determine the relationship between the use of different chemical anticoagulation strategies and the risk of deep venous thrombosis after knee arthroscopies. A meta-analysis of pooled and stratified data was performed and assessed using Mantel-Haenszel fixed effects models. Results: A total of nine randomized clinical trials met the eligibility criteria and were included for quantitative analysis. Thromboprophylaxis was shown to significantly decrease the risk of symptomatic DVT (P = 0.914, 95% CI = 0.10-0.22) and asymptomatic distal DVT (P = 0.107 95% CI = 0.18--0.45) after KA. There was no significant association between anticoagulation drugs and risk of bleeding events (P = 0.092, 95% CI = 0.56-1.06). Use of LMWH after KA may significantly reduce the risk of distal asymptomatic DVT. Three kinds of chemical prevention measures can reduce incidence of symptomatic DVT, without increasing the risk of bleeding events. Conclusion: The present study confirms that thromboprophylaxis after arthroscopic surgery is significant, without increasing the risk of bleeding events. Oral antithrombotic drugs are a better prophylactic strategy than subcutaneous injections of LMWH.
An infant-inspired model for robot developing its reaching ability

In robotics community, inspiration from human development theory offers a promising way for robots to efficiently achieve many abilities. Humanoid robot reaching, as an essential ability which forms the foundation of grasping and manipulation, is also possible to take advantages from human. For human infants, reaching is emerging around 3–5 months of age, which is also a fundamental skill for the development and refinement of future high level motion or cognitive behaviors. The issue of how infant reaching is developed has been investigated for decades and several views were established and discussed. Recently, Corbetta et al. proposed that the emergence of reaching is the product of a deeply embodied process, in which infants first learn how to direct their movement in space using proprioceptive and haptic feedback and then map the visual attention onto these bodily centered experiences. With this new sight, this paper addresses the problem of how a robot develops its reaching ability autonomously, and a novel infant-inspired model is proposed. The model is composed of several blocks so that to closely capture the inherent mechanisms of infants in the process of developing the reaching skill. To evaluate the proposed model, a child-sized physical humanoid robot PKU-HR6.0 is employed. Just like an early infant, the robot is assumed without any other abilities. It is only equipped with the proposed model with random initialized parameters. The reaching ability is expected to be developed all by the robot itself. Through iteratively babbling arm motions in its workspace, the robot firstly acquire a reliable sense of its body and movement in space, and then map the sense of the vision onto the proprioception when contingencies happen. Experimental results show that the robot equipped with the proposed model achieves the reaching ability effectively and successfully in a completely autonomous style. The robot is able to reach the objects in different real environments with a high performance, and can even grasp the objects with an average successful rate of 82.50%. Our experimental results also verify that the movement of one joint may induce another, and some sepecific joint may play dominant role in certain category of movements.
ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids

It is informative to detect highly conserved positions in proteins and nucleic acid sequence/structure since they are often indicative of structural and/or functional importance. ConSurf (http://consurf.tau.ac.il) and ConSeq (http://conseq.tau.ac.il) are two well-established web servers for calculating the evolutionary conservation of amino acid positions in proteins using an empirical Bayesian inference, starting from protein structure and sequence, respectively. Here, we present the new version of the ConSurf web server that combines the two independent servers, providing an easier and more intuitive step-by-step interface, while offering the user more flexibility during the process. In addition, the new version of ConSurf calculates the evolutionary rates for nucleic acid sequences. The new version is freely available at: http://consurf.tau. ac.il/.
Provisioning and Usage of Provenance Data in the WebIsALOD Knowledge Graph

The WebIsALOD dataset provides a linked data endpoint to the WebIsA database, which harvests millions of subsumption relations from a large scale Web crawl using text patterns. For each of the relations, the dataset also contains rich provenance data, such as the text pattern used, the original sentence in which the pattern was found, and the source on the Web. In this paper, we describe several alternatives and design decisions for providing statement-level provenance information at large scale for the WebIsALOD dataset. Furthermore, we show the practical impact of that provenance information for computing confidence scores approximating the correctness of each subsumption relation.
Integrated Toolset for WSN Application Planning, Development, Commissioning and Maintenance: The WSN-DPCM ARTEMIS-JU Project

In this article we present the main results obtained in the ARTEMIS-JU WSN-DPCM project between October 2011 and September 2015. The first objective of the project was the development of an integrated toolset for Wireless sensor networks (WSN) application planning, development, commissioning and maintenance, which aims to support application domain experts, with limited WSN expertise, to efficiently develop WSN applications from planning to lifetime maintenance. The toolset is made of three main tools: one for planning, one for application development and simulation (which can include hardware nodes), and one for network commissioning and lifetime maintenance. The tools are integrated in a single platform which promotes software reuse by automatically selecting suitable library components for application synthesis and the abstraction of the underlying architecture through the use of a middleware layer. The second objective of the project was to test the effectiveness of the toolset for the development of two case studies in different domains, one for detecting the occupancy state of parking lots and one for monitoring air concentration of harmful gasses near an industrial site.
Balance-of-payments constrained economic growth: the case of Mexico

An analytical model for balance-of-payment constraints is developed to analyse the economic crisis which swept the entire Mexican region during the early 1980s. Analytical results suggest that a modification of the long-term income multipliers of the proposed framework may be effected by implementing a long-term constant ratio of the current account to nominal gross domestic product. It is further shown that Mexico's economic instability was largely caused by the inadequacy of foreign exchange resources necessary in driving domestic growth.
Using Scipion for stream image processing at Cryo-EM facilities

Three dimensional electron microscopy is becoming a very data-intensive field in which vast amounts of experimental images are acquired at high speed. To manage such large-scale projects, we had previously developed a modular workflow system called Scipion (de la Rosa-Trevín et al., 2016). We present here a major extension of Scipion that allows processing of EM images while the data is being acquired. This approach helps to detect problems at early stages, saves computing time and provides users with a detailed evaluation of the data quality before the acquisition is finished. At present, Scipion has been deployed and is in production mode in seven CryoEM facilities throughout the world.
Winter Braids

These are Lecture Notes of a course given by the author at the School Winter Braids, held at the Université de Pau et des Pays de L’Adour (France), on February 2015. It is explained how mapping class groups, and in particular braid groups, act on some interesting geometric spaces like the hyperbolic plane and the complex of curves, and how this allows to obtain some algebraic properties of the groups. A proof of the hyperbolicity of the graph of curves, following Hensel-Przytycki-Webb, is given.
The K-band properties of seyfert 2 galaxies (Research Note)

Aims. It is well known that the [O iii]λ5007 emission line and hard X-ray (2−10 keV) luminosities are good indicators of AGN activities and that the near and mid-infrared emission of AGN originates from re-radiation of dusty clouds heated by the UV/optical radiation from the accretion disk. In this paper we present a study of the near-infrared K-band (2.2 µm) properties for a sample of 65 Seyfert 2 galaxies. Methods. By using the AGN/Bulge/Disk decomposition technique, we analyzed the 2MASS KS-band images for Seyfert 2 galaxies in order to derive the KS-band magnitudes for the central engine, bulge, and disk components. Results. We find that the KS-band magnitudes of the central AGN component in Seyfert 2 galaxies are tightly correlated with the [O iii]λ5007 and the hard X-ray luminosities, which suggests that the AGN K-band emission is also an excellent indicator of the nuclear activities at least for Seyfert 2 galaxies. We also confirm the good relation between the central black hole masses and bulge’s K-band magnitudes for Seyfert 2s.
Functional specificity of the rainbo w trout (Oncorhynchus mykiss) gonadotropin receptors as assayed in a mammalian cell line

In vertebrates, gonadotropins (GTHs) (FSH and LH) are two circulating pituitary glycoprotein hormones that play a major role in the regulation of gonadal functions, including gonadal cell proliferation/differentiation and steroidogenesis. In mammals, it is well known that their biological effects are mediated by highly specific membrane-bound receptors expressed preferentially on the somatic cells of the gonads. However, in fish, binding and functional studies have shown that cross-reactivity may occur in GTH receptors depending on the species. To understand the molecular mechanisms involved in GTH actions, functional characterization of trout GTH receptors and their gonadal gene expression pattern has been carried out. The present study describes the presence of two distinct GTH receptors in trout showing similarities with those of higher vertebrates but also differences in their Journal of Endocrinology (2007) 195, 213–228 0022–0795/07/0195–213 q 2007 Society for Endocrinology Printed in Great structural determinants. In vitro functional studies demonstrate that rtLH specifically activates its cognate receptor (EC50Z117 ng/ml), whereas purified rainbow trout FSH (rtFSH) activates FSHR but also LHR at supraphysiological doses (EC50Z38 vs 598 ng/ml for FSHR and LHR respectively). The high doses of rtFSH required to activate LHR put into question the physiological relevance of this interaction. The use of heterologous chinook GTHs confirms the strong preference of each hormone for its cognate receptor. The gonadal expression pattern of the GTH receptor genes suggests that FSH may play an important role in regulating gonadal functions, not only at the early stages but also at the final stages of the male and female reproductive cycles, in addition to the LH pathway. Journal of Endocrinology (2007) 195, 213–228
Extension of LTE-Advanced Heterogeneous Networks

Dual connectivity (DC) allows user equipments (UEs) to get information all the while from diverse NodeBs (eNBs) keeping in mind the end goal to support the execution in a heterogeneous system with devoted transporter arrangement. Yet, how to proficiently work with DC opens various exploration questions. In this paper we concentrate working on it where a large scale and a little cell eNBs are between associated with customary backhaul connections portrayed by certain inertness, accepting free radio asset administration (RRM) functionalities dwelling in each eNB. With a specific end goal to completely reap the increase gave by DC, a productive stream control of information between the included large scale and little cell eNBs is proposed. Additionally, rules for the primary execution deciding RRM calculations, for example, UE cell affiliation and parcel booking are likewise introduced. It is shown how legitimate arrangement of the proposed stream control calculation offers proficient exchange offs between lessening the likelihood that one of the eNBs included in the DC comes up short on information and constraining the buffering time. Reproduction results demonstrate that the execution of DC over customary backhaul associations is near that achievable with between site bearer conglomeration (CA) and essentially zero inertness front pull associations, and regardless it is fundamentally higher contrasted with the case without DC.
Embracing Ambiguity in the Analysis of Form in Pop/Rock Music, 1982–1991

A central concern for theories of form in pop/rock music is the division of a song into sections and, consequently, the categorization of these sections according to a standard set of section labels. Psychological research on categorization shows that it is inherently a perceptual process, one that involves graded membership and fuzzy boundaries. Thus in contrast to prior theorists, who often a2empt to minimize ambiguity in the analysis of form in pop/rock music, I confront ambiguity directly, organizing and describing many of the common types encountered. I focus exclusively on the time period 1982–1991, when verse-chorus form can be considered to have achieved widespread currency. After providing an illustrative exemplar, I discuss three types of ambiguity common to this decade, each based on the main section role involved: 1) verse ambiguity, which typically derives from weak section differentiation; 2) chorus ambiguity, which usually involves a blend of more than one section role; and 3) bridge ambiguity, which often results from different hierarchical meanings of the bridge label. Volume 23, Number 3, September 2017 Copyright © 2017 Society for Music Theory