Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature Extraction for Genre Classification

In this paper, we describe an exploratory experiment on genre classifica- tion of Swedish texts, using as predictors various subsets of a base lemma vocabulary previously derived from the Stockholm-UmeCorpus. The pur- pose of this particular experiment was to find the subset that gives the best classification or most useful features. Three dimensions of the base vocabulary were investigated: size of fea- ture set, genre vs. domain category set, and dispersion. Decision trees grown for the various subsets did not predict the genres particularly well, partially because of sparse data and a skewed distribution of genres in the corpus, al- though they outperformed both the baselines: uniform genre probability and majority genre. However, the experiment suggested that the often-used set of the 50 most frequent function words is well motivated for genre classification if word frequency is used and a small and easy-to-get set is needed.
Some questions about the dimension of a group action

This article discusses three families of groups: Z ≀ Zn, PL(In), and PL(Sn) (the last two being the families of groups of piecewise‐linear homeomorphisms of standard n‐dimensional spaces). It is shown that for positive n ∈ N, Z ≀ Zn embeds in PL(In), which embeds in PL(Sn). It is known that Z ≀ Z2 fails to embed in PL(I1), and this article extends that previous result to show that Z ≀ Z2 also fails to embed in PL(S1). The nature of the proofs of these embedding and non‐embedding results hints that there may be corresponding non‐embedding results in higher dimensions.
Reverse Revision and Tree Combination for Dependency Parsing

Parser combination is an effective technique for increasing the accuracy of dependency parsers. The typical approach is to use independent parsers, often based on a few variants of the same algorithm. In this paper we introduce both a new parsing method and a new parser combination algorithm. The new parsing method uses the output of a previous parse as hint while parsing the same text in the reverse direction. The new parser combination algorithm exploits the fact that its inputs are trees in order to avoid the quadratic cost of algorithms for computing the maximum spanning tree of a graph. We present the method and discuss the results of experiments performed on corpora from the CoNLL X and 2007 shared tasks. An analysis of results shows that the accuracy improvements are often due to more correct predictions of long span dependecies. Both the proposed techniques maintain a linear or quasi-linear computational cost, hence the resulting parser achieves both high accuracy and performance.
The PU.1-Modulated MicroRNA-22 Is a Regulator of Monocyte/Macrophage Differentiation and Acute Myeloid Leukemia

MicroRNA-22 (miR-22) is emerging as a critical regulator in organ development and various cancers. However, its role in normal hematopoiesis and leukaemogenesis remains unclear. Here, we detected its increased expression during monocyte/macrophage differentiation of HL-60, THP1 cells and CD34+ hematopoietic stem/progenitor cells, and confirmed that PU.1, a key transcriptional factor for monocyte/macrophage differentiation, is responsible for transcriptional activation of miR-22 during the differentiation. By gain- and loss-of-function experiments, we demonstrated that miR-22 promoted monocyte/macrophage differentiation, and MECOM (EVI1) mRNA is a direct target of miR-22 and MECOM (EVI1) functions as a negative regulator in the differentiation. The miR-22-mediated MECOM degradation increased c-Jun but decreased GATA2 expression, which results in increased interaction between c-Jun and PU.1 via increasing c-Jun levels and relief of MECOM- and GATA2-mediated interference in the interaction, and thus promoting monocyte/macrophage differentiation. We also observed significantly down-regulation of PU.1 and miR-22 as well as significantly up-regulation of MECOM in acute myeloid leukemia (AML) patients. Reintroduction of miR-22 relieved the differentiation blockage and inhibited the growth of bone marrow blasts of AML patients. Our results revealed new function and mechanism of miR-22 in normal hematopoiesis and AML development and demonstrated its potential value in AML diagnosis and therapy.
Bipedal running with nearly-passive flight phases

This paper presents a novel approach which generates running gaits for a bipedal robot model. Inspired by human running, we assume that the flight phase is nearly-passive. Thus, the initial and final joint velocities follow from a static optimization procedure, provided that the boundary joint angles have been picked in advance. Dynamic optimization then produces the two running phases, with a simple collision model predicting the discrete joint velocity changes. Ground reaction forces, the Zero-Moment Point, and foot clearance of the swing leg serve as nonlinear constraints. A biped robot running in simulation demonstrates the effectiveness of the proposed approach.
High efficiency electrolyser power supply for household hydrogen production and storage systems

The paper presents a three-phase prototype power supply operated electrolyser system for household hydrogen production and storage systems. The purpose of the work was to increase the overall efficiency of an electrolyser system by improving the performance of the power supply. The new prototype was designed for high efficiency by using SIC MOSFETs and PSFB-CD with slim-DC topology. The advantages of using small DC-link capacitor is the small inrush current and longer lifetime (film capacitors can be applies). As a side effect a 300 Hz ripple is introduced in the output current which according to the measurements and the literature about the previous work does not affect the H2 production. The resulting efficiency of the power supply is 94.3 % at nominal power and does not drop under 90 % even at light loads (>1 kW).
Telling Examples. Strategic manoeuvring in plenary debates in the European Parliament

Members of Parliament may make use of argumentation from examples to justify policies and legislation. In this contribution I concentrate on how argumentation from example may be used to manoeuvre strategically in plenary legislative debates in the European parliament. As a framework for the analysis of the strategic use of examples in the institutional setting of the European parliament, I shall make use of van Eemeren and Houtlosser’s (1999, 2002) concept of strategic manoeuvring.
Semi-decentralized beamforming coordination for multiuser two-tier networks

In this paper, we consider a downlink two-tier network comprising of a multiple-antenna macrocell base station and a single femtocell access point, each serving multiples users with a single antenna. In this scenario, we treat the total transmit power minimization problem and mean-square error balancing problem. In the presence of perfect channel state information (CSI), we formulate the optimization algorithms in a semi-decentralized manner by introducing the signal-to-leakage plus noise ratio criteria. Taking into account imperfect CSI, we also propose robust algorithms tailored by the worst-case design to mitigate the effect of channel uncertainty. Finally, numerical results are presented to validate our proposed algorithms.
Using Multiple-Scenario Contingent Valuation Data to Estimate Willingness to Pay for Restoration of Mississippi’s Barrier Islands

This research applies a novel method of non-market valuation to the case of barrier island restoration in Mississippi. The objective is to estimate peoples’ willingness to pay (WTP) for restoration to pre-Camille status (i.e., as the barriers islands existed prior to Hurricane Camille in 1969). This is accomplished by incorporating the WTP responses for the Pre-Camille status as well as WTP data from two alternative restoration scenarios. An interval censored model was used to estimate WTP and compare WTP in both the single bounded model and the novel approach. This study found that the novel method introduced here results in higher WTP estimate: WTP under the standard single bounded model is $145.74, whereas the novel approach yields a mean WTP of $204.26.
Improving the flexibility of active grids through web services

Active Grids are a form of grid infrastructure where the grid network is active and programmable. These grids directly support applications with value added services such as data migration, compression, adaptation and monitoring. Services such as these are particularly important for eResearch applications which by their very nature are performance critical and data intensive.We propose an architecture for improving the flexibility of Active Grids through web services. These enable Active Grid services to be easily and flexibly configured, monitored and deployed from practically any platform or application. The architecture is called WeSPNI ("Web Services based on Programmable Networks Infrastructure"). We present the architecture together with some early experimental results on using web services to monitor data movement in an active grid.
A reticular pattern of intrinsic connections in primate area V2 (area 18)

A system of periodic intrinsic connections is demonstrated in area V2 (area 18) of squirrel and macaque monkeys by large injections of tritiated amino acids, horseradish peroxidase (HRP), and fluorescent latex beads. These connections originate from pyramidal neurons concentrated in layers 3 and 5. Terminations occur in all cortical layers, largely coextensive with labeled neurons but more restricted in layer 4. This multilaminar distribution contrasts with the mainly supragranular localization of periodic intrinsic connections in V1 (area 17), and may imply a close interaction, in V2, of periodic intrinsic connections with pulvinocortical, as well as with corticocortical terminations (concentrated, respectively, in layers 3 and 5, and in lower 3 and 4). As in V1, the tangential configuration of these connections in V2 is reticular or latticelike, and is detectable for 2.5–3.0 mm from an injection site of HRP, 3H amino acids, or latex beads. Cross‐sectional widths of labeled regions vary from 250 to 800 μm in squirrel monkey and from 400 to 1,000 μm in macaque, depending on which portion of the lattice is measured. When periodic intrinsic connections are compared with stripes labeled histochemically by cytochrome oxidase (CO), no clear relationship is obvious between the two systems. This result contrasts with the orderly tangential alignment reported between CO‐reactive zones in V2 and certain extrinsic connections; namely, pulvinocortical terminations (Livingstone and Hubel, '82) and clusters of neurons projecting to area V4 (DeYoe and Van Essen, '84). Other extrinsic connections, however, such as backgoing connections from V2 to V1, do not seem to have a periodic distribution. Thus, although some discontinuous cortical connections relate to each other in a precise mosaic fashion, intrinsic and some extrinsic connections may observe different modes of organization.
Normative standards for IS research

Manuscript rejection rates for the top IS academic journals average 85-90%. An undesirable consequence of this level of rejection is that the IS community becomes discouraged and disaffected with the review process. Part of the reason so many manuscripts are not ready for publication may lie in the lack of agreement and understanding among IS researchers on the key criteria for evaluating IS research. The purpose of this study is to report on a survey of the perceptions of published authors, reviewers, and editorial board members about the manuscript requirements for publication in IS. Knowledge gained from the study has the potential to: (1) improve the overall quality of future submissions by focusing the researchers' time and effort on key criteria and normative standards for publishing research, as differentiated by research method, (2) reduce the number of revisions required before a manuscript gets published, and (3) suggest journal evaluation forms that more accurately reflect the standards of the IS community. The empirical results reported here provide an introspective analysis of the IS field, a set of normative standards for IS, and an action plan for IS journals.
Aggregating Social Media for Enhancing Conference Experience

A scientific conference is a type of event where attendees have a tremendous activity on social media platforms. Participants tweet or post longer status messages, engage in discussions with comments, share slides and other media captured during the conference. This information can be used to generate informative reports of what is happening, where (which specific room) and when (which time slot), and who are the active participants. However, this information is locked in different data silos and platforms forcing the user to monitor many different channels at the same time to fully benefit from the event. In this paper, we propose a framework named Confomaton that aggregates in real-time social media shared by conference attendees and aligns it with event descriptions. Developed with Semantic Web technologies, this framework enables to relive past events and to follow live conferences. A demonstrator is available at http://eventmedia.eurecom. fr/confomaton.
A secure m-commerce model based on wireless local area network

The focus of this paper is on a secure mobile commerce model based on wireless local area network (WLAN). The model is investigated through the accessing procedure, the roaming management procedure, and the electronic trade procedure. To solve the security problem in the WLAN, a novel authentication method is proposed, in which the mobile node (MN) is validated twice by an access point (AP) and a mobile agent (MA), and all the devices are authenticated in a register procedure with the PKI/CA mechanism. Finally, the advantages of the model are analyzed.
Estimation of Credit Risk for Business Firms of Nationalized Bank by Neural Network Approach

Financial credit risk assessment has gained a great deal of attention. Many different parties have an interest in credit risk assessment. Banking auth orities are interested because it helps them to det ermine the overall strength of the banking system and its abil ity to handle adverse conditions. Due to the importance of credit risk analysis, ma ny methods were widely applied to credit risk measurement asks, from that Artificial Neural Network plays an important role for analyzing the credit default problem. Artificial neural networks represent an easily cus tomizable tool for modeling learning behavior of agents and for studying a lot of proble ms very difficult to analyze with standard economic odels ANN has many advantages over conventional methods of analysis. According to Shachmurove (2002), they have the ability to analyze complex patterns q uickly and with a high degree of accuracy . The focus of this paper is to determine that a neural network is a su it ble modelling technique for predicting the busin e s firm loan is satisfactory or not. This paper shows that an ANN approach will classify the applicant as a de fault or not and predict a credit default allowance amount m ore closely aligned with the credit default expense incurred during the fiscal period than traditional management approaches to estimating the allowance. The results show that credit risk evaluation using Back propagation neural network and expert evaluation h ave the very good consistency Keywords― Financial Analysis, credit risk, NN algorithm, ROC Analysis
Detection and Discrimination of DDoS Attacks from Flash Crowd Using Entropy Variations

Internet is a worldwide network that combines millions local to global scope, private public, academics, business, optical network technologies, government networks. It carries an expandable range of information resources and services which lead to bulk exchange of traffic over the Internet every day. This excessive popularity creates some troubles in the networks. Among them, Flash Crowd and Distributed Denial of Service (DDoS) attacks are the two major events. Web services needs stability and security from these two concerns. There are some methods that can discriminate DDoS attack from flash crowd and trace the sources of the attack in huge volume of network traffic. However, it is difficult to detect the exact sources of DDoS attacks in network traffic when Flash crowd event is also present. Due to the alikeness of these two anomalies, attacker can easily mimic the malicious flow into legitimate traffic patterns and defence system cannot detect real sources of attack on time. In this paper, entropy variation, a theoretic parameter, is used to discriminate DDoS attack from Flash Crowd and trace the sources of the DDoS attack. Entropy variation is a theoretic concept which is a measure of changes in concentration of distribution of flows at a router for a given time duration. The proposed strategy is effective and efficiently scalable that has several advantages like memory non intensive, minimum overhead in terms of resources and time, and independent of traffic pattern. KeywordDDoS attacks, IP Traceback, Flash Crowd, Entropy Variation, Flow
Hydroxylated Metabolites of Polybrominated Diphenyl Ethers in Human Blood Samples from the United States

Background A previous study from our laboratory showed that polybrominated diphenyl ethers (PBDEs) were metabolized to hydroxylated PBDEs (HO-PBDEs) in mice and that para-HO-PBDEs were the most abundant and, potentially, the most toxic metabolites. Objective The goal of this study was to determine the concentrations of HO-PBDEs in blood from pregnant women, who had not been intentionally or occupationally exposed to these flame retardants, and from their newborn babies. Methods Twenty human blood samples were obtained from a hospital in Indianapolis, Indiana, and analyzed for both PBDEs and HO-PBDEs using electron-capture negative-ionization gas chromatographic mass spectrometry. Results The metabolite pattern of HO-PBDEs in human blood was quite different from that found in mice; 5-HO-BDE-47 and 6-HO-BDE-47 were the most abundant metabolites of BDE-47, and 5′-HO-BDE-99 and 6′-HO-BDE-99 were the most abundant metabolites of BDE-99. The relative concentrations between precursor and corresponding metabolites indicated that BDE-99 was more likely to be metabolized than BDE-47 and BDE-100. In addition, three bromophenols were also detected as products of the cleavage of the diphenyl ether bond. The ratio of total hydroxylated metabolites relative to their PBDE precursors ranged from 0.10 to 2.8, indicating that hydroxylated metabolites of PBDEs were accumulated in human blood. Conclusions The quite different PBDE metabolite pattern observed in humans versus mice indicates that different enzymes might be involved in the metabolic process. Although the levels of HO-PBDE metabolites found in human blood were low, these metabolites seemed to be accumulating.
A Voxel-by-Voxel Comparison of Deformable Vector Fields Obtained by Three Deformable Image Registration Algorithms Applied to 4DCT Lung Studies

Background: Commonly used methods of assessing the accuracy of deformable image registration (DIR) rely on image segmentation or landmark selection. These methods are very labor intensive and thus limited to relatively small number of image pairs. The direct voxel-by-voxel comparison can be automated to examine fluctuations in DIR quality on a long series of image pairs. Methods: A voxel-by-voxel comparison of three DIR algorithms applied to lung patients is presented. Registrations are compared by comparing volume histograms formed both with individual DIR maps and with a voxel-by-voxel subtraction of the two maps. When two DIR maps agree one concludes that both maps are interchangeable in treatment planning applications, though one cannot conclude that either one agrees with the ground truth. If two DIR maps significantly disagree one concludes that at least one of the maps deviates from the ground truth. We use the method to compare 3 DIR algorithms applied to peak inhale-peak exhale registrations of 4DFBCT data obtained from 13 patients. Results: All three algorithms appear to be nearly equivalent when compared using DICE similarity coefficients. A comparison based on Jacobian volume histograms shows that all three algorithms measure changes in total volume of the lungs with reasonable accuracy, but show large differences in the variance of Jacobian distribution on contoured structures. Analysis of voxel-by-voxel subtraction of DIR maps shows differences between algorithms that exceed a centimeter for some registrations. Conclusion: Deformation maps produced by DIR algorithms must be treated as mathematical approximations of physical tissue deformation that are not self-consistent and may thus be useful only in applications for which they have been specifically validated. The three algorithms tested in this work perform fairly robustly for the task of contour propagation, but produce potentially unreliable results for the task of DVH accumulation or measurement of local volume change. Performance of DIR algorithms varies significantly from one image pair to the next hence validation efforts, which are exhaustive but performed on a small number of image pairs may not reflect the performance of the same algorithm in practical clinical situations. Such efforts should be supplemented by validation based on a longer series of images of clinical quality.
Global Well-Posedness and Non-linear Stability of Periodic Traveling Waves for a Schrodinger-Benjamin-Ono System

The objective of this paper is two-fold: firstly, we develop a local and global (in time) well-posedness theory for a system describing the motion of two fluids with different densities under capillary-gravity waves in a deep water flow (namely, a Schr\"odinger-Benjamin-Ono system) for \emph{low-regularity} initial data in both periodic and continuous cases; secondly, a family of new periodic traveling waves for the Schr\"odinger-Benjamin-Ono system is given: by fixing a minimal period we obtain, via the implicit function theorem, a smooth branch of periodic solutions bifurcating a Jacobian elliptic function called {\it dnoidal}, and, moreover, we prove that all these periodic traveling waves are nonlinearly stable by perturbations with the same wavelength.
Stochastic analysis of wireless sensor network MAC protocols

A dispensing nozzle for an aerosol package of the barrier type wherein a liquid product per se is directed out of the container through the usual valve. The nozzle is constructed to mix with the liquid product being dispensed air which is drawn in by the product so as to atomize the product and permit the dispensingthereof as a spray.
Methodologies and Performance Metrics to Evaluate Multiprogram Workloads

Multicore processors are dominating the microprocessor market and most research work has moved to this kind of processors. Multicore research methods are still immature and evolving from the single-threaded processor ounterparts. Three main research issues must be faced when evaluating performance and energy in multicores. First, multiple simulation methodologies are being applied to evaluate these systems, without being an agreement about which to use. Second, due to the nature of multiprogram workloads new performance metrics are required, different from those used in single-thread processors. Many metrics have been defined and distinct metrics are used across the published works. Finally, multicore processors are really complex systems which require from sophisticated and complementary (e.g. energy and performance) simulators. This paper pursues to help researchers face the three mentioned research issues. For this purpose, we compare these issues across 28 papers published in 2013 in top computer architecture conferences. Both analytical examples and experimental results are presented with the aim of providing some insights in multicore research.