Miracle-dz/UniFAR-FTUs huggingface dataset:
Guided Summarization with Aspect Recognition

As a continuation of the summarization track of TAC 2010, the TAC 2011 summarization track pursues aspect-guided summarization. It is intended “to encourage a deeper linguistic (semantic) analysis of the source documents instead of relying only on document word frequencies to select important concepts”. The sustained interest in guided summarization marks a significant turn to semantically oriented end results that implicitly favor deep (semantically rich) NLP, domain-specific IE, NLG, among other techniques. The update summarization task is similar to that included in earlier TAC summarization tracks. The PolyCom (formerly PolyU) team has participated in the guided summarization task of both TAC 2010 and TAC 2011. Lacking experience with this new task, our team did not perform well with an IE-based system in 2010. This year, we draw on our learned lesson and resources built over months to build a system based on aspect recognition and a robust baseline. We achieve very competitive evaluation results released by NIST. In the following, we report the system design for our new system, including aspect recognition and aspect-guided summarization.
Predicting through writing style the impact of blog posts in online communities

Nowadays blogging has become one of the most common and frequently employed methods for creating communities around specific topics of interest. This phenomenon is due to the existence of numerous online platforms that enable the creation with ease of blogs even for non-technical users. However, finding relevant blogs is a difficult and time-consuming process. This paper focuses on predicting whether a post has an impact or not based only on its writing style and automatically inferred textual complexity indices. We define the impact of a post as the traction it receives from other users in terms of number of received comments. Thus, several blogs were crawled on which a set of textual complexity indices available from the ReaderBench framework were computed. By splitting the posts in two categories, we were able to predict with an accuracy of 69.7% whether a post will receive comments or not.
What Causes Men's Violence Against Women?

Foreword - Joseph R Biden, Jr PART ONE: BOOK CONTEXT AND CRITIQUES OF O'NEIL AND HARWAY'S MULTIVARIATE MODEL EXPLAINING MEN'S VIOLENCE AGAINST WOMEN What Causes Men to be Violent Against Women? The Unanswered and Controversial Question - Michele Harway and James M O'Neil Preliminary Multivariate Model Explaining the Causes of Men's Violence Against Women - James M O'Neil and Michele Harway Feminist Perspectives on Male Violence Against Women - Amy J Marin and Nancy Felipe Russo Critiquing O'Neil and Harway's Model Male Offenders - Richard J Gelles Our Understanding from the Data PART TWO: BIOLOGICAL, NEUROANATOMICAL, HORMONAL AND EVOLUTIONARY FACTORS EXPLAINING MEN'S VIOLENCE AGAINST WOMEN Biological Perspectives on Violence Against Women - Anthony F Greene The Evolutionary Origins of Male Violence Against Women - Louise B Silverstein PART THREE: MEN'S AND WOMEN'S GENDER-ROLE SOCIALIZATION AND GENDER-ROLE CONFLICT1 FACTORS EXPLAINING MEN'S VIOLENCE AGAINST WOMEN Men's Gender-Role Conflict, Defense Mechanisms and Self Protective Defensive Strategies - James M O'Neil and Rodney A Nadeau Explaining Men's Violence Against Women from a Gender-Role Socialization Perspective Women's Gender-Role Socialization, Gender-Role Conflict and Abuse - Roberta L Nutt A Review of Predisposing Factors PART FOUR: RELATIONAL AND INTERACTIONAL FACTORS EXPLAINING MEN'S VIOLENCE AGAINST WOMEN Systems Perspectives on Battering - Stephen A Anderson and Margaret C Schlossberg The Importance of Context and Pattern Inter-Gender Relational Dimensions of Violence Toward Women - Sandra Rigazio-DiGilio and A Stephan Lanza A Co-Constructive-Developmental Perspective PART FIVE: MACROSOCIETAL, RACIAL AND CULTURAL EXPLANATIONS OF VIOLENCE AGAINST WOMEN The Interaction between Societal Violence and Domestic Violence - Janis Sanchez-Hucles and Mary Ann Dutton Racial and Cultural Factors PART SIX: THEORETICAL PROPOSITIONS, REVISED MULTIVARIATE MODEL OF MEN'S RISK FACTORS, NEW HYPOTHESES AND PREVENTIVE RECOMMENDATIONS Revised Multivariate Model Explaining Men's Risk Factors for Violence Against Women - James M O'Neil and Michele Harway Theoretical Propositions, New Hypothoses and Proactive Recommendations
Developing a test for mental toughness : the Mental Toughness Inventory (MTI)

The Mental Toughness Inventory (MTI) is a 67-item self-report paper and pencil test that assesses 12 characteristics of mental toughness (self-efficacy, potential, mental self-concept, task familiarity, value, personal bests, goal commitment, perseverance, task focus, positivity, stress minimisation, and positive comparisons) along with one global mental toughness factor (Middleton et al., 2004a). The purposes of the current study were to (a) refine the size of the MTI whilst maintaining its strong psychometric properties, and (b) assess the equivalence of the MTI factor structure across sub-elite to elite athletes. The MTI was administered to 438 aspiring elite athletes (aged 12 to 18 years) based at an elite sports high school along with 292 elite athletes (aged 11 to 38 years) from various institutes of sport around Australia (including the Australian, NSW and WA Institute of Sport, NSW and WA Institute of Sports, ACT Academy of Sport, Australian Rugby Union Wallabies, and Australian Cricket). A series of confirmatory factor analyses (CFA) produced a 36-item MTI measuring all 12 factors of mental toughness. The reliability coefficients for each of the factors ranged from . 82 to . 94 across both sub-elite and elite athlete samples Goodness of fit for the CFA was good for each sample individually, but also multi-group CFA proved the MTI factor structure to be stable across both groups.
Catenins and zonula occludens-1 form a complex during early stages in the assembly of tight junctions

We characterized the role of the E-cadherin adhesion system in the formation of epithelial tight junctions using the calcium switch model. In MDCK cells cultured in low (micromolar) calcium levels, the tight junctional protein Zonula Occludens-1 (ZO-1) is distributed intracellularly in granular clusters, the larger of which codistribute with E-cadherin. Two hours after activation of E-cadherin adhesion by transfer to normal (1.8 mM) calcium levels, ZO-1 dramatically redistributed to the cell surface, where it localized in regions rich in E-cadherin. Immunoprecipitation with ZO-1 antibodies of extracts from cells kept in low calcium and 2 h after shifting to 1.8 mM Ca2+ demonstrated the association of ZO-1 with alpha-, beta-, and gamma- catenins. E-cadherin was not detected in the ZO-1 immunoprecipitates but it was found in beta-catenin immunoprecipitates that excluded ZO-1, suggesting that the binding of ZO-1 to catenins may weaken the interaction of these proteins with E-cadherin. Immunofluorescence and immunoelectron microscopy confirmed a close association of beta-catenin and ZO-1 at 0 and 2 h after Ca2+ switch. 48 h after Ca2+ switch, upon complete polarization of the epithelium, most of the ZO-1 had segregated from lateral E-cadherin and formed a distinct, separate apical ring. The ZO-1-catenin complex was not detected in fully polarized monolayers. MDCK cells permanently transformed with Moloney sarcoma virus, which expresses low levels of E-cadherin, displayed clusters of cytoplasmic ZO-1 granules and very little of this protein at the cell surface. Upon transfection with E-cadherin into Moloney sarcoma virus-MDCK cells, ZO-1 redistributed to E-cadherin-rich lateral plasma membrane but later failed to segregate into mature tight junctions. Our experiments suggest that catenins participate in the mobilization of ZO-1 from the cytosol to the cell surface early in the development of tight junctions and that neoplastic transformation may block the formation of tight junctions, either by decreasing the levels of E-cadherin or by preventing a late event: the segregation of tight junction from the zonula adherens.
Comparison of left anterior oblique and geometric mean gastric emptying.

A left anterior oblique image (LAO) and the geometric mean of anterior and posterior counts have both been proposed as methods for acquiring gastric emptying data. Both approaches are used to correct for the changes in attenuation that occur as the depth of radiolabeled solids changes during gastric emptying. These two methods were compared by using a power exponential curve fit to calculate a lag phase, an equilibrium emptying rate, and a half-time for gastric emptying in 20 patients. There were no significant differences (mean +/- 1 s.e.m.) in the measured half-emptying time (115 +/- 10 versus 104 +/- 7 min) (p = 0.08) or rate of gastric emptying (0.015 +/- 0.002 versus 0.015 +/- 0.002 min-1) (p = 0.56) for LAO imaging versus the geometric mean. However, the LAO measurements of the lag phase were significantly higher (69 +/- 7 min) than the geometric mean (53 +/- 6 min) measurements (p = 0.004). This resulted in 4/20 (20%) of patients with normal geometric mean lag phase measurements who would have been reclassified as abnormal using the LAO method.
A Probabilistic Lexical Approach to Textual Entailment

The textual entailment problem is to determine if a given text entails a given hypothesis. This paper describes first a general generative probabilistic setting for textual entailment. We then focus on the sub-task of recognizing whether the lexical concepts present in the hypothesis are entailed from the text. This problem is recast as one of text categorization in which the classes are the vocabulary words. We make novel use of Naive Bayes to model the problem in an entirely unsupervised fashion. Empirical tests suggest that the method is effective and compares favorably with state-of-the-art heuristic scoring approaches.
Stabilised Computations for Incompressible and Mildly Compressible Viscoelastic Flows

We analyse and contrast different stabilisation met hodologies embedded within a timemarching incremental pressure-correction formulatio n. Numerical solutions are presented for an Oldroyd-B model under incompressible and mildly com pressible settings, considering flow through a planar four-to-one abrupt-contraction. Th ree alternative stabilisation strategies are analysed to hone the response of the base hybrid fi nite element/volume ( fe/fv)-implementation: a temporal stabilisation procedure ( TSS, a theoretical counterpart to Galerkin Least-Squares, GLS); a discontinuity capturing procedure ( RCI, reduced corner integration); and a strain-rate stabilisation procedure ( SRS, to satisfy LBB-conditions). To reflect the stabil ised properties of each scheme, the study interrogates levels of stabl e Weissenberg number ( We) solution, vortex activity, stress field structure about abrupt corne rs and in boundary layers, and cross-stream solution representation. Combinations of these stab ilis tion variants are proposed to seek optimal stability properties. We consider the speci fic effect that inclusion of compressibility has, contrasting this against its incompressible co unterpart. Results indicate that most improvement has been encountered with the SRS-scheme, where Wecrit-levels have more than doubled above neutral variants, while stress peaks levels have been constrained. At a selected We-level and under a specific flow setting, all schem e variants have produced similar salientcorner vortex behaviour, predicting vortex reduction under inc easing We. In contrast, lip-vortex features are found to be significantly affected by the particular re-entrant corner treatment applied. When present, lip vortices grow with incre asing We.
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses

The area under the ROC curve (AUC) is a widely used performance measure in machine learning, and has been widely studied in recent years particularly in the context of bipartite ranking. A dominant theoretical and algorithmic framework for AUC optimization/bipartite ranking has been to reduce the problem to pairwise classication; in particular, it is well known that the AUC regret can be formulated as a pairwise classication regret, which in turn can be upper bounded using usual regret bounds for binary classication. Recently, Kotlowski et al. (2011) showed AUC regret bounds in terms of the regret associated with ‘balanced’ versions of the standard (non-pairwise) logistic and exponential losses. In this paper, we obtain such (non-pairwise) surrogate regret bounds for the AUC in terms of a broad class of proper (composite) losses that we term strongly proper. Our proof technique is considerably simpler than that of Kotlowski et al. (2011), and relies on properties of proper (composite) losses as elucidated recently by Reid and Williamson (2009, 2010, 2011) and others. Our result yields explicit surrogate bounds (with no hidden balancing terms) in terms of a variety of strongly proper losses, including for example logistic, exponential, squared and squared hinge losses. An important consequence is that standard algorithms minimizing a (non-pairwise) strongly proper loss, such as logistic regression and boosting algorithms (assuming a universal function class and appropriate regularization), are in fact AUC-consistent; moreover, our results allow us to quantify the AUC regret in terms of the corresponding surrogate regret. We also obtain tighter surrogate regret bounds under certain low-noise conditions via a recent result of Cl emen con and Robbiano (2011).
Fractal-Based Outlier Detection Algorithm over RFID Data Streams

Nowadays, Radio frequency identification (RFID) has been extensively deployed to retailing, supply chain management, object recognition, object monitoring and tracking and many other fields. Detecting outliers in RFID data streams can help us find abnormal activities and thus avoid disasters. In order to detect outliers in RFID data streams efficiently and effectively, we proposed a fractal based outlier detection algorithm. Firstly, we built a monotone searching space based on the self-similarity of fractal. Then, we proposed two piecewise fractal models for RFID data streams, and presented an outlier detection algorithm based on the piecewise fractal model. Finally, we validated the efficiency and effectiveness of the proposed algorithm by massive experiments.
Rapamycin Inhibits Proliferation of Epstein-Barr Virus–Positive B-cell Lymphomas Through Modulation of Cell-Cycle Protein Expression

Background. Posttransplant lymphoproliferative disease (PTLD) is a serious complication of solid organ and bone marrow transplantation and is closely associated with Epstein-Barr virus (EBV) infection. We have previously shown that rapamycin (RAPA) directly inhibits the in vitro and in vivo proliferation of EBV-infected B lymphoblastoid cell lines (SLCL), derived from patients with PTLD, by arresting cells in the G1 phase of the cell cycle. The aim of this study is to elucidate the mechanism by which RAPA causes cell cycle arrest in EBV+ B cells. Methods. SLCL were cultured without or with RAPA (10 ng/ml) and G1-associated cell cycle proteins were analyzed by immunoblot and densitometric analysis. CDK complexes were immunoprecipitated and incubated with retinoblastoma protein (Rb) substrate. Kinase activity of the complex was determined by Western blot with anti-phospho-Rb antibodies. Results. We show that RAPA decreased both Cyclin D2 and Cyclin D3 protein levels. Furthermore, RAPA decreased the protein levels of cyclin dependent kinase 4 (CDK4) and increased the expression of the CDK inhibitor p27. In contrast, expression of the CDK inhibitor p21 was markedly inhibited by RAPA in the SLCL. Finally, in vitro kinase assays revealed that downstream hyperphosphorylation of Rb by CDK complexes was also decreased by RAPA. Conclusion. The results presented here elucidate key targets of RAPA-induced cell cycle arrest, provide insight into the growth pathways of EBV+ B-cell lymphomas, and demonstrate the potential for RAPA as a therapeutic option in the treatment of PTLD and other EBV+ lymphomas.
Deception research today

Deception is a complex social behavior which involves a set of higher cognitive functions. Studying this common phenomenon in humans has in all epochs been driven not merely by the wish to understand the underlying framework of cognitive functioning but rather by the ambition to detect deceptive behavior in criminal suspects. Thus, identifying valid indicators of deceptive behavior has always been in the focus of deception research. Such indicators can be defined in terms of specific behavior, physiological correlates, or content of verbal reports. The question of how validly each indicator allows for differentiating truthful and deceptive accounts is inherent in the majority of research efforts in this domain. Another important aspect concerns the development of deception theory. According to current opinion, deception is not characterized by a single cognitive process but rather involves the combination of a variety of basic cognitive processes such as working memory, response monitoring and inhibition. Identifying these processes, modeling their interplay and their modulation by personality and situational factors is still one major challenge in deception research. Furthermore, deception is no unitary phenomenon. Correspondingly, researchers need to examine and describe different variants of this phenomenon occurring in distinct contexts, which entails a variety of experimental and theoretical approaches that largely differ in scope and methods.
Mental health and social services: results from the School Health Policies and Programs Study 2006.

BACKGROUND Schools are in a unique position not only to identify mental health problems among children and adolescents but also to provide links to appropriate services. This article describes the characteristics of school mental health and social services in the United States, including state- and district-level policies and school practices. METHODS The Centers for Disease Control and Prevention conducts the School Health Policies and Programs Study (SHPPS) every 6 years. In 2006, computer-assisted telephone interviews or self-administered mail questionnaires were completed by state education agency personnel in all 50 states and the District of Columbia and among a nationally representative sample of school districts (n=445). Computer-assisted personal interviews were conducted with personnel in a nationally representative sample of elementary, middle, and high schools (n=873). RESULTS Although states and districts generally had not adopted policies stating that schools will have mental health and social services staff, 77.9% of schools had at least a part-time counselor who provided services to students. Fewer schools had school psychologists or social workers. Consequently, counseling services were more common in schools than were psychological or social services. Few schools delivered mental health and social services through school-based health centers. Arrangements with providers not located on school property were more common. CONCLUSIONS SHPPS 2006 reveals that linkages with the community need to continue and grow to meet the mental health needs of students. Efforts must be made to build systematic state agendas for school-based mental health, emphasizing a shared responsibility among families, schools, and other community systems.
THE EFFECTS OF OSCILLATING NOZZLE ON CHRISTIANSEN’S UNIFORMITY COEFFICIENT

Original scientific paper Rainfall simulators have been used in research for more than 40 years. Unfortunately, there is not much literature on their construction and calibration. This paper presents a rainfall simulator experimental rig, developed at the Faculty of Civil Engineering in Subotica, and its calibration, i.e. determination of rainfall distribution over the surface. The simulator uses six VeeJet 80100 oscillating nozzles equally spaced with 100 cm distance along a horizontal pipe. A box for rainfall intensity reduction is placed under each nozzle. The maximum rainfall intensity that can be achieved is 3,1 mm/min and maximum surface covered by the simulator is 1×6 m. As a measure of uniformity of rainfall distribution over the surface, the Christiansen’s uniformity coefficient was used. For surface widths ranging from 0,1 to 1 m, the Christiansen’s coefficient varies from 0,8 to 0,9 for the oscillating nozzles, while for the nonoscillating nozzle it has a value of 0,46.
A Logic-Based Approach to XML Data Integration

In this work, a logic-based framework for XML data integration is proposed. XPathLogic extends the XPath language with variable bindings and embeds it into rstorder logic, interpreted over an edge-labeled graph-based data model. XPathLog is then the Horn fragment of XPath-Logic, providing a Datalog-style, rule-based language for manipulating and integrating XML data. In contrast to other approaches, the XPath syntax and semantics is also used for a declarative speci cation how the database should be updated : when used in rule heads, XPath lters are interpreted as speci cations of elements and properties which should be added to the database. Due to the close relationship with XPath, the semantics of rules is easy to grasp. In addition to the logic-based semantics of XPath-Logic, we give an algebraic semantics for evaluating XPathLog queries based on answer-sets. The formal semantics is de ned wrt. a graph-based model which covers the XML data model, tailored to the requirements of XML data integration. It is not based on the notion of XML trees, but represents an XML-style (i.e., based on elements and attributes) database which simultaneously represents individual, overlapping XML trees as views of the database. The \pure" XPathLog data model is extended with expressive modeling concepts such as a class hierarchy, nonmonotonic inheritance, and a lightweight signature concept. Information integration in this approach is based on linking elements from the sources into one or more result trees, creating elements, fusing elements, and de ning access paths by synonyms. By these operations, the separate source trees are developed into a multiply linked graph database in which one or more result tree views can be distinguished by projections. The combination of data and metadata reasoning is supported by seamlessly adding XML Schema trees and even ontology descriptions to the internal database. XPathLog has been implemented in LoPiX. The practicability of the approach is demonstrated by a case study which also serves as a running example. The rst part of the essay is dedicated to an overview of the development of XML-related concepts which also motivates the design decisions of the XPathLog framework.