Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Information Extraction to Aid the Discovery of Prediction Rules from Text

Text mining and Information Extraction (IE) are both topics of signi cant recent interest. Text mining concerns applying data mining, a.k. a. knowledge discovery from databases (KDD) techniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates speci c pieces of data in natural language documents, transforming unstructured text into a structured database. This paper describes a system called DiscoTEX, that combines IE and KDD methods to perform a text mining task, discovering prediction rules from natural-language corpora. An initial version of DiscoTEX is constructed by integrating an IE module based on Rapier and a rule-learning module, Ripper. We present encouraging results on applying these techniques to a corpus of computer job postings from an Internet newsgroup.
Generating and Understanding Creative Comparisons

If creativity is a reaction against the norm, then to understand and exploit creativity one must first understand and adequately represent this norm. In other words, to produce the extraordinary, as a human or as a machine, one must first understand the ordinary. Creativity is a large theme that manifests itself in many small ways in language, and in this paper we address one such manifestation of linguistic creativity, the comparison statement. Since linguistic comparisons run the gamut from the ordinary (mundane and commonplace) to the extraordinary (i.e., novel, striking and/or humorous), they provide an excellent vehicle for understanding the interplay between norms and creativity.
Baroreflex modulation of muscle sympathetic nerve activity at rest does not differ between morning and afternoon

The incidence of cardiovascular events is significantly higher in the morning than other times of day. This has previously been associated with poor blood pressure control via the cardiac baroreflex. However, it is not known whether diurnal variation exists in vascular sympathetic baroreflex function, in which blood pressure is regulated via muscle sympathetic nerve activity (MSNA). The aim of this study was to compare vascular sympathetic baroreflex sensitivity (BRS) in the same participants between the morning and afternoon. In 10 participants (mean age 22 ± 2.9 years), continuous measurements of blood pressure, heart rate and MSNA were made during 10 min of rest in the morning (between 0900 and 1000 h) and afternoon (between 1400 and 1500 h). Spontaneous vascular sympathetic BRS was quantified by plotting MSNA burst incidence against diastolic pressure (vascular sympathetic BRSinc), and by plotting total MSNA against diastolic pressure (vascular sympathetic BRStotal). Significant vascular sympathetic BRSinc and vascular sympathetic BRStotal slopes were obtained for 10 participants at both times of day. There was no significant difference in vascular sympathetic BRSinc between morning (−2.2 ± 0.6% bursts/mmHg) and afternoon (−2.5 ± 0.2% bursts/mmHg; P = 0.68) sessions. Similarly, vascular sympathetic BRStotal did not differ significantly between the morning (−3.0±0.5 AU/beat/mmHg) and afternoon (−2.9 ± 0.4 AU/beat/mmHg; P = 0.89). It is concluded that in healthy, young individuals baroreflex modulation of MSNA at rest does not differ between the morning and afternoon. The results indicate that recording MSNA at different times of the day is a valid means of assessing sympathetic function.
Computational Fabrication and Display of Material Appearance

After decades of research on digital representations of material and object appearance, computer graphics has more recently turned to the problem of creating physical artifacts with controllable appearance characteristics. While this work has mostly progressed in two parallel streams ‐ display technologies as well as novel fabrication processes ‐ we believe there is a large overlap and the potential for synergies between these two approaches. In this report, we summarize research efforts from the worlds of fabrication display, and categorize the different approaches into a common taxonomy. We believe that this report can serve as a basis for systematic exploration of the design space in future research.
Implementing Digital Cultural Heritage Map

Digital Cultural Heritage Map is a dynamic, webbased application that combines web-mapping, digital archives and multimedia. User-generated content can be manipulated from a back-end CMS. Application's goal is to gather spatial cultural data of a geographic area. This paper presents the designing and implementation process of the application. We present the philosophy and the guidelines that influenced the functionality and the interface of the application's website. We also describe the details and innovations that brought our application to life and made it suitable for PC and mobile. The Greek county of Aitoloakarnania is our area of interest.
Depressed Subjects Have Decreased rCBF Activation During Facial Emotion Recognition

Abstract Depressed subjects have deficits in facialemotion recognition that resemble the deficits found in persons with focal right hemisphere brain damage. To locate the brain regions responsible for this problem, the authors imaged regional cerebral blood flow (rCBF) with H2O15 positron emission tomography in 10 mood-disordered patients, as well as in 10 age- and sex-matched healthy comparison subjects, while the subjects matched photographs for facial emotion or, as a control, facial identity. While matching faces for emotion, mood-disordered subjects had decreased rCBF activation bilaterally in their temporal lobes, as well as in the right insula, compared with healthy comparison subjects. Abnormal function of limbic and paraiimbic regions may partially explain the facial emotion-recognition deficits previously noted in depressed subjects.
Necessary Condition and Genericity of Dynamic Feedback Linearization

A new necessary condition for dynamic feedback linearization in the sense of is proposed This condition concerns control sys tems x f x u with strictly less control variables than state vari ables This necessary condition allows to prove the non genericity of dynamic feedback linearizability for the Whitney C topology on mappings x u f x u However this topology reveals to be too coarse to capture the nature of practical uncertainties the polymerization reactor studied in is shown to be linearizable via dynamic feedback for generic kinetic and thermal laws
Irrotational and Incompressible Ellipsoids in the First Post-Newtonian Approximation of General Relativity

First post-Newtonian (lPN) hydrostatic equations for an irrotational fluid which have been recently derived are solved for an incompressible star. The 1PN configurations are expressed as a deformation of the Newtonian irrotational Riemann ellipsoid using Lagrangian displacement vectors introduced by Chandrasekhar. For the 1PN solutions, we also calculate the luminosity of gravitational waves in the 1PN approximation using the Blanchet-Damour formalism. It is found that the solutions of the 1PN equations exhibit singularities at points where the axial ratios of semi-axes are 1 : 0.5244 : 0.6579 and 1 : 0.2374 : 0.2963, and the singularities seem to show that at the points, the irrotational Riemann ellipsoid is unstable to the deformation induced by the effect of general relativity. For stable cases (a2/al > 0.5244, where al and a2 are the semi-major and minor axes, respectively) we find that when increasing the 1PN correction, the angular velocity and total angular momentum increase, while the total energy and luminosity of gravitational waves decrease. These 1PN solutions will be useful when examining the accuracy of numerical code for obtaining relativistic irrotational stars. We also investigate the validity of an ellipsoidal approximation, in which a 1PN solution is obtained assuming an ellipsoidal figure and neglecting the deformation. It is found that for a2/al > 0.7, the ellipsoidal approximation gives a fairly accurate result for the energy, angular momentum, and angular velocity, although in the approximation we cannot find the singularities.
On the Zero-state Detectability and Stability of Switched Dissipative Hamiltonian Systems

Switched Hamiltonian system is a kind of important hybrid system. Such a system not only plays an important role in the development of hybrid control theory, but also has found many applications in practical control designs for obtaining better control performances. This paper investigates the zero-state detectability/observability of switched dissipative Hamiltonian systems and proposes several sufficient conditions for the problem. Under a realistic assumption, it is shown that the switched dissipative Hamiltonian system is asymptotically stable under arbitrary switching paths if the system is uniformly zero-state detectable/observable. Finally, an example is studied by using the new results proposed in this paper, and several numerical simulations are carried out to support our new results
Cycle-Accurate Test Power Modeling and its Application to SoC Test Scheduling

Concurrent testing of the cores in a modular core-based system-on-chip reduces the test application time but increases the test power consumption. Power models and scheduling algorithms have been proposed to schedule the tests as concurrently as possible while respecting the power budget. The commonly used global peak power model, with a single value capturing the power dissipated by a core when tested, is pessimistic but simple for a scheduling algorithm to handle. In this paper, we propose a cycle-accurate power model with a power value per clock cycle and a corresponding scheduling algorithm. The model takes into account the switching activity in the scan chains caused by both the test stimuli and the test responses during scan-in, launch-and-capture and scan-out. Further, we allow a unique power model per wrapper chain configuration as the activity in a core will be different depending on the number of wrapper chains at a core. Extensive experiments on ITC'02 benchmarks and an industrial design show that the testing time can be substantially reduced (on average 16.5% reduction) by using the proposed cycle-accurate test power model
IRIT @ TRECVid 2010 : Hidden Markov Models for Context-aware Late Fusion of Multiple Audio Classifiers

This notebook paper describes the four runs submitted by IRIT at TRECVid 2010 Semantic Indexing task. The four submitted runs can be described and compared as follows: •Run 4 ‐ late fusion (weighted sum) of multiple audio-only classifiers output •Run 3 ‐ context-aware re-rank of run 4 using hidden Markov model •Run 2 ‐ context-aware late fusion of multiple audio classifiers output with hidden Markov model •Run 1 ‐ late fusion (weighted sum) of multiple audio & video classifiers output
On a connection between object localization with a generative template of features and pose-space prediction methods

We address the task of localizing objects from a given object class in an image. The image is represented as a collection of “visual words” at interest points. The generative template of features (GTF) model defines a distribution over visual words and their spatial locations for each part of the object (Sudderth et al., 2005; Fergus et al., 2005). We show how to derive pose-space prediction methods (such as the Hough transform) from the GTF.
A New Sex-Role Inventory (CSRI-50) Indicates Changes of Sex Role among Chinese College Students

As a part of acquired social gender,sex role not only plays an important role in the development of individuals,but also influences the evolution of national characteristics.Since the sex-role ideology among Chinese college students is undergoing great changes along with the developing society,existing sex role scales may not be suitable for tapping such changes any longer.In the present study we developed a new sex role inventory for Chinese college students and examined the changes of sex-role ideology among Chinese college students.Following standard procedures,a scale was developed by selecting 90 sex role-indicated words(35 positive words on masculinity,35 positive words on femininity,and 20 neutral words) from 1700 relevant words,which was then tested on 351 college students(179 males,172 females). After item discrimination analysis and exploratory factor analysis on the initial results,50 items in the scale were retained to constitute three subscales.The Masculinity Subscale includes 16 items and four factors:leadership,masculinity,rationality,and generosity.The Femininity Subscale includes 16 items and three factors:empathy,femininity,thrift and careful.The Neutral Subscale includes 18 items.Further,a sample of 5008 college students(2280 males,2728 females) was selected for reexamination of the 50-item scale.5% random subsample(106 males,127 females) from the 5008 dataset was analyzed with Confirmatory factor analysis(CFA). The results successfully replicated the factor structure identified above and the fit indices indicated a satisfactory goodness-of-fit.The Cronbach's alpha coefficients of the Masculinity and the Femininity subscales were 0.89 and 0.84,respectively.The retest reliability were 0.82(M) and 0.80(F). Demonstrative validity and expert validity were also satisfactory.The vocabulary in this new 50-item sex role inventory for Chinese college students(CSRI-50) differs substantially from other existing sex role scales:Chinese man is characteristic of the trait of rationality;Chinese women is characteristic of the trait of expression,as well as some traditional Chinese traits such as thrift,industrious and careful.Within the subsample,the proportion of Androgynous,Undifferentiated,and traditional sex role(including both of the Masculinity and Femininity) are about one third respectively.Comparing to previous studies,males showed weaker Masculinity traits,and females showed weaker Femininity traits,while the Androgynous and the Undifferentiated increased proportionally.However,the proportion of Masculinity among males was higher than that among females,and the proportion of Femininity among females was higher than that in males,indicating the continuing influence of the traditional culture.
Analysis of the ballistocardiographic artifact removal in simultaneous EEG-fMRI recording using independent component analysis and coherence function

The simultaneous acquisition of EEG and fMRI has becoming increasingly important for neuroimaging research. However, this integration comes with artifacts that directly interfere in the signal quality. Independent component analysis has been one of the most used tools to remove biological artifacts and more recently it has been used to the removal of BCG artifact present when simultaneous EEG and fMRI is acquired. Although widely adopted some questions regarding the reliability of the estimated sources are still unanswered. The efficiency of the removal depends on the correct identification and selection of the artifact-related independent components. This selection is not obvious since different strategies give different results. Considering that no real BCG artifact-free data can be collected inside an MR scanner it is a difficult task to select the best criteria or best algorithm. In this paper we contribute to the solution of this problem proposing an automatic component selection method based on maximum absolute magnitude squared coherence function between the independent components and the ECG signal.
Observation of direct CP violation in B0→π+π- decays and model-independent constraints on the quark-mixing angle 2

We report a new measurement of the time-dependent CP-violating parameters in B0→π+π- decays with 535×106 BB pairs collected with the Belle detector at the KEKB asymmetric-energy e+e- collider operating at the Υ(4S) resonance. We find 1464±65 B0→π+π- events and measure the CP-violating parameters Sππ=-0.61±0.10(stat)±0. 04(syst) and Aππ=+0.55±0.08(stat)±0.05(syst). We observe large direct CP violation with a significance greater than 5 standard deviations for any Sππ value. Using isospin relations, we measure the Cabibbo-Kobayashi-Maskawa quark-mixing matrix angle 2=(97±11)° for the solution consistent with the standard model and exclude the range 11°< 2<79° at the 95% confidence level. © 2007 The American Physical Society.
Sampling of signals with finite rate of innovation in parameter space

We consider the sampling of signals with finite rate of innovation (FRI) in parameter space to reach the minimal sampling rate. Although the sampling of signals with unknown time locations has been treated in previous works, it is difficult to sample the signals with unknown parameters in other parameter space. In this paper, we redefine the signal with FRI and propose a general framework of the FRI sampling. In addition, we design several different sampling schemes, including the single channel sampling, the multichannel direct sampling and the multichannel mixing sampling, to improve the sampling robustness and decrease the analog-to-digital (AD) conversion rate. By the discussions in the numerical experiment, we also show the signal with unknown parameters in time-frequency space can be sampled and reconstructed from the minimal-rate samples.
Behavior Specific User Simulation in Spoken Dialogue Systems

Spoken dialogue systems provide an opportunity for man machine interaction using spoken language as the medium of interaction. In recent years reinforcement learning-based dialogue policy optimization has evolved to be state of the art. In order to cope with the data requirement for policy optimization and also to evaluate dialogue policies user simulators are introduced. Almost all existing data driven methods for user modelling aims at simulating some generic user behavior from some reference dialogue corpus. However, this corpus consists of dialogues from multiple users and thus exhibit different user behaviors. In this paper we explore the possibility of identifying and simulating different user behaviors observed in the corpus. For this purpose inverse reinforcement learning-based user simulation method is employed. Using experimental results, we validate the effectiveness of the proposed method for building multiple behavior specific user simulators.
Effect Mechanism of Family Functioning on Adolescent's Emotional Problem

To explore the relationship between family functioning process and family functioning outcome and the effect mechanism of family functioning on adolescents' emotional problems.422 Chinese adolescents were tested using Family Adaptability and Cohesion Evaluation Scale(family functioning outcome)by Olson,Family Assessment Measure(family functioning process)by Skinner,Center for Epidemiologic Studies Depression Scale,Self-Rating Anxiety Scale.By correlation analysis,Hierarchical Regression,Structural Equation Modeling analysis,it suggested that(1)Adolescents' emotion was normal totally;(2)Every dimension of family functioning process has significant correlation with every dimension of family functioning outcome one other;(3)family functioning process had a stronger predicting effect on adolescent emotional problem than outcome(4)family functioning outcome was a part mediator between family functioning process and adolescents' emotional problems.
A graph matching-based sulcal pattern analysis: Application to the study of twin brains

Introduction Gyral folding has long fascinated scientists, as the character of gyral folding is related to functional compartmentalization. There is a large variability in the pattern of gyral folding across individuals and in genetic disorders but without means of quantifying these differences, it is difficult to define their functional significance or better understand their genetic/epigenetic etiology. Visual classification schemes lack the necessary dynamic range and reproducibility. Curvature measures can capture local properties of gyral folding, but they do not allow characterization of the spatial relationship between gyri or sulci. In this study we explore the potential of a novel method where the gyral pattern is represented as a sulcal pit-based graph and automatically compared between different brains using a spectral-based matching algorithm. Our method allows characterization of the positioning, arrangement, number and size of sulcal segments and their interrelationship. We applied this method to a twin study to investigate the genetic effect on the sulcal patterns.
Life-long Semi-supervised Learning: Continuation of Both Learning and Recognition

This paper presents a new method for continuous and incremental learning and recognition based on self-organized incremental neural networks. It is available in the fluctuating environment where the number of recognition classes cannot be defined. In this method, the learning process and recognition process are not separated. This method can acquire concept when multiple feature vectors of new input object come, and then can recognize it using previously acquired concept. We experiment an examples of life-long semi-supervised learning tasks in real world. In the result, the proposed method was able to learn and recognize 104 objects incrementally, non-stop, and in real time
A Characterization of Internet Dating Network Structures among Nordic Men Who Have Sex with Men

Background The Internet has become an important venue for seeking sexual partners and may facilitate transmission of sexually transmitted infections. Methods We examined a 64-day data log of flirt messages expressing sexual interest among MSM within the Qruiser.com community. We used logistic regression to analyze characteristics of MSM sending and receiving flirt messages and negative binomial regression to examine individual activity and popularity. The structural properties, including the core structure of the flirt network, were analyzed. Results The MSM population consisted of approximately 40% homosexuals and 37% bisexuals, while the remaining 23% included men who identified as heterosexual but searched for sex with men and “experimental”. MSM were more likely to send flirt messages if they were homosexual and aged 40+ years; young people aged < 30 years were more likely to receive a flirt. Possession of a webcam was strongly associated with both sending flirt messages and being a flirt target. The distributions of flirts sent (max kout = 2162) and received (max kin = 84) were highly heterogeneous. Members in central cores were more likely homosexuals, singles, and aged 31–40 years. The probability of a matched flirt (flirt returned from target) increased from 1% in the outer core to 18% in the central core (core size = 4). Discussion The flirt network showed high degree heterogeneity similar to the structural properties of real sexual contact networks with a single central core. Further studies are needed to explore use of webcam for Internet dating.
Deterministic natural language generation from meaning representations for machine translation

This paper describes a deterministic method for generating natural language suited to being part of a machine translation system with meaning representations as the level for language transfer. Starting from Davidso-nian/Penman meaning representations, syntactic trees are built following the Penn Parsed Corpus of Modern British English, from which the yield (i.e., the words) can be taken. The novel contribution is to highlight exploiting the presentation of meaning content to inform decisions regarding the selection of language constructions: active vs. passive, ar-gument subject vs. expletive it vs. existential there, discourse vs. intra-sentential coordination vs. adverbial clause vs. participial clause vs. purpose clause, and inﬁnitive clause vs. ﬁ-nite clause vs. small clause vs. relative clause vs. it cleft.