Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic discovery of Latin syntactic changes

Syntactic change tends to affect constructions, but treebanks annotate lower-level structure: PCFG rules or dependency arcs. This paper extends prior work in native language identification, using Tree Substitution Grammars to discover constructions which can be tested for historical variability. In a case study comparing Classical and Medieval Latin, the system discovers several constructions corresponding to known historical differences, and learns to distinguish the two varieties with high accuracy. Applied to an intermediate text (the Vulgate Bible), it indicates which changes between the eras were already occurring at this earlier stage.
Local linear independence of refinable vectors of functions

This paper is devoted to a study of local linear independence of refinable vectors of functions. A vector of functions is said to be refinable if it satisfies the vector refinement equation where a is a finitely supported sequence of r × r matrices called the refinement mask. A complete characterization for the local linear independence of the shifts of ϕ1,…,ϕr is given strictly in terms of the mask. Several examples are provided to illustrate the general theory. This investigation is important for construction of wavelets on bounded domains and nonlinear approximation by wavelets.
A Novel Efficient Classification Algorithm for Search Engines

In this paper a new classification algorithm of Web documents into a set of categories, is proposed. The proposed technique is based on analyzing relationships between different documents and the terms they contain by producing a set of rules relating the category of the document, its terms and their frequencies. Each document is represented by a graph that correlates its most frequent combined words and its category. The relationships among these graphs and the documentspsila categories are captured. The proposed technique has three phases. The first phase is a training phase where human experts determines the categories of different Web pages and articles and combine these categories with appropriate weighted index. The second phase is the blind categorization phase to build a database that will be categorized according to the result of the first phase. The third phase is applying the proposed graph representation technique on the whole set of documents per category to determine its final graph representation. The third phase will produce better classification rules because the sample size is larger with no additional cost of supervised categorization. Experiments using data sets collected from different Web portals are conducted.
Exploratory search on topics through different perspectives with DBpedia

A promising scenario for combining linked data and search is exploratory search. During exploratory search, the search objective is ill-defined and favorable to discovery. A common limit of the existing linked data based exploratory search systems is that they constrain the exploration through single results selection and ranking schemes. The users can not influence the results to reveal specific aspects of knowledge that interest them. The models and algorithms we propose unveil such knowledge nuances by allowing the exploration of topics through several perspectives. The users adjust important computation parameters through three operations that help retrieving desired exploration perspectives: specification of interest criteria about the topic explored, controlled randomness injection to reveal unexpected knowledge and choice of the processed knowledge source(s). This paper describes the corresponding models, algorithms and the Discovery Hub implementation. It focuses on the three mentioned operations and presents their evaluations.
Semiclassical strings on AdS5 × S5/ℤM and operators in orbifold field theories

We show agreements, at one-loop level of field theory, between energies of semiclassical string states on AdS5 ? S5/M and anomalous dimensions of operators in = 0,1,2 orbifold field theories originating from = 4 SYM. On field theory side, one-loop anomalous dimension matrices can be regarded as hamiltonians of spin chains with twisted boundary conditions. These are solvable by Bethe ansatz. On string side, twisted sectors emerge and we obtain some string configurations in twisted sectors. In SU(2) subsectors, we compare anomalous dimensions with string energies and see agreements. We also see agreements between sigma models of both sides in SU(2) and SU(3) subsectors.
Cuf2 Is a Novel Meiosis-Specific Regulatory Factor of Meiosis Maturation

Background Meiosis is the specialized form of the cell cycle by which diploid cells produce the haploid gametes required for sexual reproduction. Initiation and progression through meiosis requires that the expression of the meiotic genes is precisely controlled so as to provide the correct gene products at the correct times. During meiosis, four temporal gene clusters are either induced or repressed by a cascade of transcription factors. Principal Findings In this report a novel copper-fist-type regulator, Cuf2, is shown to be expressed exclusively during meiosis. The expression profile of the cuf2+ mRNA revealed that it was induced during middle-phase meiosis. Both cuf2+ mRNA and protein levels are unregulated by copper addition or starvation. The transcription of cuf2+ required the presence of a functional mei4+ gene encoding a key transcription factor that activates the expression of numerous middle meiotic genes. Microscopic analyses of cells expressing a functional Cuf2-GFP protein revealed that Cuf2 co-localized with both homologous chromosomes and sister chromatids during the meiotic divisions. Cells lacking Cuf2 showed an elevated and sustained expression of several of the middle meiotic genes that persisted even during late meiosis. Moreover, cells carrying disrupted cuf2Δ/cuf2Δ alleles displayed an abnormal morphology of the forespore membranes and a dramatic reduction of spore viability. Significance Collectively, the results revealed that Cuf2 functions in the timely repression of the middle-phase genes during meiotic differentiation.
Temporal changes in the expression and distribution of adhesion molecules during liver development and regeneration

We have compared by immunocytochemistry and immunoblotting the expression and distribution of adhesion molecules participating in cell- matrix and cell-cell interactions during embryonic development and regeneration of rat liver. Fibronectin and the fibronectin receptor, integrin alpha 5 beta 1, were distributed pericellularly and expressed at a steady level during development from the 16th day of gestation and in neonate and adult liver. AGp110, a nonintegrin fibronectin receptor was first detected on the 17th day of gestation in a similar, nonpolarized distribution on parenchymal cell surfaces. At that stage of development haemopoiesis is at a peak in rat liver and fibronectin and receptors alpha 5 beta 1 and AGp110 were prominent on the surface of blood cell precursors. During the last 2 d of gestation (20th and 21st day) hepatocytes assembled around lumina. AGp110 was initially depolarized on the surface of these acinar cells but then confined to the lumen and to newly-formed bile canaliculi. At birth, a marked increase occurred in the canalicular expression of AGp110 and in the branching of the canalicular network. Simultaneously, there was enhanced expression of ZO-1, a protein component of tight junctions. On the second day postpartum, presence of AGp110 and of protein constituents of desmosomes and intermediate junctions, DGI and E- cadherin, respectively, was notably enhanced in cellular fractions insoluble in nonionic detergents, presumably signifying linkage of AGp110 with the cytoskeleton and assembly of desmosomal and intermediate junctions. During liver regeneration after partial hepatectomy, AGp110 remained confined to apical surfaces, indicating a preservation of basic polarity in parenchymal cells. A decrease in the extent and continuity of the canalicular network occurred in proliferating parenchyma, starting 24 h after resection in areas close to the terminal afferent blood supply of portal veins and spreading to the rest of the liver within the next 24 h. Distinct acinar structures, similar to the ones in prenatal liver, appeared at 72 h after hepatectomy. Restoration of the normal branching of the biliary tree commenced at 72 h. At 7 d postoperatively acinar formation declined and one-cell-thick hepatic plates, as in normal liver, were observed.
BER-Based Codebook Construction for MIMO-OFDM Precoded Spatial Multiplexing Systems

This paper deals with design and performance analysis of transmit precoder optimization for MIMO-OFDM systems with limited feedback of channel state information (CSI). We assume that the receiver has perfect channel knowledge while the transmitter has only partial channel knowledge from limited feedback. We present a BER-based optimal codebook construction algorithm for MIMO-OFDM systems under average power constraint using the Lloyd algorithm. The proposed optimal precoder has the structure of joint precoding and power allocation. Closed form solution has been derived for power allocation in the sense of minimum BER for the MIMO-OFDM systems. Simulation results show that the BER-based codebook construction algorithm with hybrid design of power allocation and multi-mode beamforming can achieve better performance than those of equal power allocation based codebooks in literature.
New Feature Correspondence Method using Bayesian Graph Matching Algorithm

In this paper, we propose a new approach for establishing the correspondence between local invariant features using Bayesian graph matching algorithm. First, we will discuss various local invariant feature detectors and descriptors for scale and affine transformation and illumination changes. Second, we propose an efficient features corresponding method using local invariant features and new graph matching algorithm. Finally, we evaluate the comparative performances of our method (BGMA) with several existing feature matching approach such as Lowe’s shift matching by conducting experiments on various real image data. We test on three image pairs taken from MSRC v2 dataset and Caltech 101 dataset. Experimental results show that the proposed method clearly outperforms rather than the existing matching algorithms about feature correspondence in images with rotation or scale transformation and illumination changes.
Interleukin-7 Induces Expression of Latent Human Immunodeficiency Virus Type 1 with Minimal Effects on T-Cell Phenotype

ABSTRACT Latent human immunodeficiency virus type 1 (HIV-1) persists even in patients treated with antiretroviral therapy. New treatment strategies are therefore needed to eradicate this latent viral reservoir without reducing immune cell function. We characterize the interleukin-7 (IL-7)-induced stimulation of primary human T cells and thymocytes and demonstrate, using the SCID-hu model, that IL-7 induces substantial expression of latent HIV while having minimal effects on the cell phenotype. Thus, IL-7 is a viable candidate to activate expression of latent HIV and may facilitate immune clearance of latently infected cells.
Online tensor methods for learning latent variable models

We introduce an online tensor decomposition based approach for two latent variable modeling problems namely, (1) community detection, in which we learn the latent communities that the social actors in social networks belong to, and (2) topic modeling, in which we infer hidden topics of text articles. We consider decomposition of moment tensors using stochastic gradient descent. We conduct optimization of multilinear operations in SGD and avoid directly forming the tensors, to save computational and storage costs. We present optimized algorithm in two platforms. Our GPU-based implementation exploits the parallelism of SIMD architectures to allow for maximum speed-up by a careful optimization of storage and data transfer, whereas our CPU-based implementation uses efficient sparse matrix computations and is suitable for large sparse datasets. For the community detection problem, we demonstrate accuracy and computational efficiency on Facebook, Yelp and DBLP datasets, and for the topic modeling problem, we also demonstrate good performance on the New York Times dataset. We compare our results to the state-of-the-art algorithms such as the variational method, and report a gain of accuracy and a gain of several orders of magnitude in the execution time.
Initiative to Decrease Cardiovascular Risk and Increase Quality of Care for Patients Living With HIV/AIDS Executive Summary

Copyright © 2008 American Heart Association. All rights reserved. Print ISSN: 0009-7322. Online 72514 Circulation is published by the American Heart Association. 7272 Greenville Avenue, Dallas, TX DOI: 10.1161/CIRCULATIONAHA.107. 189622 2008;118;198-210; originally published online Jun 19, 2008; Circulation James H. Stein and Robert H. Eckel Morris Schambelan, Peter W.F. Wilson, Kevin E. Yarasheski, Colleen M. Hadigan, Lundgren, Michael P. Dubé, Steven E. Lipshultz, Priscilla Y. Hsue, Kathleen Squires, Steven K. Grinspoon, Carl Grunfeld, Donald P. Kotler, Judith S. Currier, Jens D. Summary Increase Quality of Care for Patients Living With HIV/AIDS: Executive State of the Science Conference: Initiative to Decrease Cardiovascular Risk and http://circ.ahajournals. org/cgi/content/full/circulationaha;118/6/e109 An erratum has been published regarding this article. Please see the attached page or: http://circ.ahajournals. org/cgi/content/full/118/2/198 located on the World Wide Web at: The online version of this article, along with updated information and services, is
Low complexity partial sampled MMSE channel estimation for downlink OFDMA IEEE 802.16e system

Channel estimation is one of key problems in IEEE 802.16e Orthogonal Frequency Division Multiplexing Access (OFDMA) downlink system. Minimum Mean Square Error (MMSE) channel estimation has been known as a superior performance channel estimation. However, this algorithm has high computational complexity. In this paper, we present low complexity partial-sampled MMSE channel estimation for compromising between complexity and performance. We reduced MMSE channel estimation complexity by partially sampling the MMSE weight matrix. The simulation results show that the bit error rate (BER) performance significantly improved over the least square channel estimation and has comparable BER performance with MMSE channel estimation at low SNR. Depending the sixze of sampling, significant decrease 57 % to 64 % in computational complexity can be achieved.
Clashing and Emerging Genres: The interplay of knowledge forms in educational gaming

Based upon a series of design interventions with the educational computer game series Global Conflicts at various secondary schools, this article explores how educational gaming can be understood as a complex interplay between four knowledge forms – i.e. students’ everyday knowledge (non-specialised knowledge), the institutionalised knowledge forms of schooling, teachers’ subject-specific knowledge (specialised knowledge forms), and game-specific knowledge forms such as professional journalism, which is one of the inspirations for the game scenario. Depending on how the GC series was enacted by different teachers and students, these knowledge forms were brought into play rather differently. More specifically, several students experienced genre clashes in relation to their expectations of what it means to play a computer game, whereas other students experienced emerging genres – e.g. when one student was able to transform the game experience into a journalistic article that challenged her classmates’ understanding of journalistic writing.
Time Course of Placebo Effect of Acupuncture on Pain: A Systematic Review

Objectives. Our objective was to investigate the time course of the placebo effect of acupuncture on pain and the factors affecting the placebo effect. Methods. Previously we retrieved three-armed randomized acupuncture trials including sham and no-treatment groups which were published until October 2009. We searched electronic databases again to identify additional trials from October 2009 to December 2011. After a screening of trials, fifteen three-armed acupuncture trials for pain were included in the analysis. Standardized mean differences between the sham and no-treatment groups were calculated for placebo effect. We then plotted the magnitude of the placebo effect over time. Results. The placebo effect gradually has increased for 12 weeks with a standardized mean difference of 0.74 (95% CI: 0.54 to 0.94). Then it decreased after 12 weeks as time passed. When the placebo effects were compared for factors including methodological qualities, they were not affected by all factors, except patient blinding. Trials with sufficient patient blinding showed a larger placebo effect at 8 weeks than those with insufficient patient blinding (P = 0.0009). Conclusion. The placebo effect of acupuncture showed a unique pattern, which was affected by insufficient patient blinding.
Error-correcting codes for rank modulation

We investigate error-correcting codes for a novel storage technology for flash memories, the rank-modulation scheme. In this scheme, a set of n cells stores information in the permutation induced by the different charge levels of the individual cells. The resulting scheme eliminates the need for discrete cell levels, overcomes overshoot errors when programming cells (a serious problem that reduces the writing speed), and mitigates the problem of asymmetric errors. In this paper, we study the properties of error correction in rank modulation codes. We show that the adjacency graph of permutations is a subgraph of a multi-dimensional array of a special size, a property that enables code designs based on Lee- metric codes. We present a one-error-correcting code whose size is at least half of the optimal size. We also present additional error-correcting codes and some related bounds.
Modeling PSInSAR Time Series Without Phase Unwrapping

In this paper, we propose a least-squares-based method for multitemporal synthetic aperture radar interferometry that allows one to estimate deformations without the need of phase unwrapping. The method utilizes a series of multimaster wrapped differential interferograms with short baselines and focuses on arcs at which there are no phase ambiguities. An outlier detector is used to identify and remove the arcs with phase ambiguities, and a pseudoinverse of the variance-covariance matrix is used as the weight matrix of the correlated observations. The deformation rates at coherent points are estimated with a least squares model constrained by reference points. The proposed approach is verified with a set of simulated data.
Standardizing and monitoring the delivery of surgical interventions in randomized clinical trials

The complexity of surgical interventions has major implications for the design of RCTs. Trials need to consider how and whether to standardize interventions so that, if successful, they can be implemented in practice. Although guidance exists for standardizing non‐pharmaceutical interventions in RCTs, their application to surgery is unclear. This study reports new methods for standardizing the delivery of surgical interventions in RCTs.
Academic Research Policy-Making and Evaluation Using Graph Visualisation

Higher education institutions need to have a social responsibility and attainable objectives regarding their education and research activities. In our approach we use multi-indicator analysis in order to evaluate the research activities of an institution as well the degree of achievement for a specified research policy. Our work is a part of prototype system that supports academic evaluation and decision-making processes concerning research policies, using visual analytics. The presented case study emphasises on the analysis of the research collaborations indicated in published research work. Our main data sources are the Scopus library, Google Scholar and the Quality Assurance Unit Service of a Greek higher education institution. Data are retrieved and enriched by additional analysis and graph metrics. The developed system provides enables user to evaluate aspects of the quality of academic research activities in the context of specific policies and criteria and make informed decisions on the establishment of new strategies.
An industrial case study of implementing software risk management

Explicit risk management is gaining ground in industrial software development projects. However, there are few empirical studies that investigate the transfer of explicit risk management into industry, the adequacy of the risk management approaches to the constraints of industrial contexts, or their cost-benefit. This paper presents results from a case study that introduced a systematic risk management method, namely the Riskit method, into a large German telecommunication company. The objective of the case study was (1) to analyze the usefulness and adequacy of the Riskit method and (2) to analyze the cost-benefit of the Riskit method in this industrial context. The results of (1) also aimed at improvement and customization of the Riskit method. Moreover, we compare our findings with results of previous case studies to obtain more generalized conclusions on the Riskit method. Our results showed that the Riskit method is practical, adds value to the project, and that its key concepts are understood and usable in practice. Additionally, many lessons learned are reported that are useful for the general audience who wants to transfer risk management into new projects.
Jet Cocoons and the Formation of Narrow Line Clouds in Seyfert Galaxies

We present non-adiabatic hydrodynamic simulations of a supersonic light jet propagating into a fully ionized medium of uniform density on a scale representative of the narrow-line region (NLR) in Seyfert galaxies with associated radio jets. In this regime the cooling distance of the swept-up gas in the bowshock of the jet is of the same order as the transverse extent of the jet bowshock, as opposed to the more extreme regimes found for more powerful adiabatic large-scale jets or the slow galactic jets which have previously been simulated. We calculate the emissivity for the Hx line and for radio synchrotron emission. We find that the structure of the line-emitting cold envelope of the jet cocoon is strongly dependent on the non­ stationary dynamics of the jet head as it propagates through the ambient medium. We observe the formation of cloud-like high density regions which we associate with NLR clouds and filaments. We find that some of these clouds might be partially neutral and represent sites of jet-induced star formation. The calculated Hoc flux and the spectral line width are consistent with NLR observations. The simulation of the radio-optical emission with radiative cooling confirms the basic result of the geometric bowshock model developed by Taylor et al., i.e. that the start of noticeable optical line emission can be significantly offset from the hotspot of the radio emission. However, the time-dependent nature of the jet dynamics implies significant differences from Taylor et al.'s geometric bowshock model.
Supporting user tasks and context: challenges for Semantic Web research

Whilst the tasks users perform online are often complex and wide-ranging, the tools currently available may not adequately support them. Attempts to classify user behaviors online have tended to focus on the medium of the web, where searching and browsing are seen as the primary modes of interaction. This paper introduces a comprehensive user-oriented classification of online tasks that emphasizes the user’s goals without assuming the use of particular internet tools or technologies. Taking greater account of a user’s context is also discussed as an essential component in better supporting performance of tasks online. Finally we consider how Semantic Web technologies can support the development of task-focused context-aware tools.