Miracle-dz/UniFAR-FTUs huggingface dataset:
Question Answering over Pattern-Based User Models

In this paper we present an ontology-driven framework for natural language question analysis and answering over user models (e.g. preferences, habits and health problems of individuals) that are formally captured using ontology design patterns. Pattern-based modelling is extremely useful for capturing n-ary relations in a well-defined and axiomatised manner, but it introduces additional challenges in building NL interfaces for accessing the underlying content. This is mainly due to the encapsulation of domain semantics inside conceptual layers of abstraction (e.g. using reification or container classes) that demand flexible, context-aware approaches for query analysis and interpretation. We describe the coupling of a frame-based formalisation of natural language user utterances with a context-aware query interpretation towards question answering over pattern-based RDF knowledge bases. The proposed framework is part of a human-like socially communicative agent that acts as an intermediate between elderly migrants and care personnel, assisting the latter to solicit personal information about care recipients (e.g. medical history, care needs, preferences, routines, habits, etc.).
Hardware implementation of an SAD based stereo vision algorithm

This paper presents the hardware implementation of a stereo vision core algorithm, that runs in real-time and is targeted at automotive applications. The algorithm is based on the sum of absolute differences (SAD) and computes the disparity map using 320 times 240 input images with a maximum disparity of 100 pixels. The hardware operates at a frequency of 65 MHz and achieves a frame rate of 425 fps by calculating the data highly parallel and pipelined. Thus an implemented and basically optimized software solution, running on an Intel Pentium 4 with 3 GHz clock frequency is 166 times outperformed.
Explosive black hole fission and fusion in large extra dimensions

Black holes are the densest form of energy, and in the presence of compact dimensions black objects may take one of several forms including the black-hole and the black-string, the simplest relevant background being R^{3+1} * S^1. Recent understanding of the first order nature of the transition indicate a powerful ``hysteresis'' curve, where black objects may undergo fusion or fission during a tachyonic decay with Planck power and duration of the order of the size of the compact dimension L. Such explosions which scale with L could be test signatures for large extra dimensions in either astronomical observations or accelerators.
Lottery Router: A Customized Arbitral Priority NOC Router

For the different communications of specific NOC (network on chip) applications, this paper proposes a customized arbitral priority NOC router. This router uses the arbitral mechanism based on lottery algorithm instead of the RR (round robin) algorithm, which is widely used in the arbiter of current NOC routers. The arbitral priority of lottery router can be customized by users according to the communication cases among IPs in NOC. Through the analysis of different priority input ports competing for the same output port, it is illustrated that the lottery mechanism distinguish different priorities and guarantee the response to the high priority port. This paper uses SystemC to implement the router and build a NOC based on the 2D mesh to simulate and compare the performance of lottery router with RR router in average delay and the network resources utilization.
Magnetic Pinching of Hyperbolic Flux Tubes. I. Basic Estimations

The concept of hyperbolic flux tubes (HFTs) is a generalization of the concept of separator field lines for coronal magnetic fields with a trivial magnetic topology. An effective mechanism of a current layer formation in HFTs is proposed. This mechanism is called magnetic pinching, and it is caused by large-scale shearing motions applied to the photospheric feet of HFTs in a way as if trying to twist the HFT. It is shown that in the middle of an HFT such motions produce a hyperbolic flow that causes an exponentially fast growth of the current density in a thin force-free current layer. The magnetic energy associated with the current layer that is built up over a few hours is sufficient for a large flare. Other implications of HFT pinching for solar flares are discussed as well.
Scalable Single-Source SimRank Computation for Large Graphs

SimRank is an effective similarity measure between vertices in a graph, which has become a fundamental technique in graph analytics. Despite its popularity, computation of SimRank is often costly in both space and time, especially with the ever growing scale of graph data nowadays. In this paper, we focus on the computation of Single-Source SimRank: given a query vertex, return the similarities between this vertex and any other vertices in the graph. The traditional centralized SimRank algorithms are not efficient for this problem. To fully utilize the computing power of modern distributed systems, we propose sssSimRank, an efficient distributed algorithm based on the random walk model. Our algorithm achieves scalability via minimizing the total number, the space cost, and the matching time of random walks. We implement our approach on the popular distributed processing platform Spark. Experimental results demonstrate the effectiveness, efficiency and scalability of our method.
Minimizing Polynomial Functions

We compare algorithms for global optimization of polynomial functions in many variables. It is demonstrated that existing algebraic methods (Gr\"obner bases, resultants, homotopy methods) are dramatically outperformed by a relaxation technique, due to N.Z. Shor and the first author, which involves sums of squares and semidefinite programming. This opens up the possibility of using semidefinite programming relaxations arising from the Positivstellensatz for a wide range of computational problems in real algebraic geometry. This paper was presented at the Workshop on Algorithmic and Quantitative Aspects of Real Algebraic Geometry in Mathematics and Computer Science, held at DIMACS, Rutgers University, March 12-16, 2001.
Null controllability of degenerate parabolic cascade systems

Abstract. In this paper, we study the null controllability of degenerate semilinear cas-cade parabolic systems with one control force. The key tool is the Carleman estimatesdeveloped recently for degenerate one dimension parabolic equations. We develop a Carle-man estimate for these systems and then an observability inequality for the linear adjointsystem. We conclude by linearization and ﬁxed point arguments. Portugaliae Mathemat-ica . Keywords.semigroups, Carleman estimates, degenerate parabolic equations, Cascade,observability inequality, null controllability.Mathematics Subject Classi cation (2000). 35K05, 35K65, 93C20 1. Introduction This paper is concerned with null controllability for the following coupled degeneratesemilinear cascade parabolic system u t − ( a 1 ( x ) u x ) x + F 1 ( t,x,u ) = h ( t,x )1 ω , ( t,x ) ∈ (0 ,T ) × (0 , 1) , (1) v t − ( a 2 ( x ) v x ) x + F 2 ( t,x,u,v ) = 0 , ( t,x ) ∈ (0 ,T ) × (0 , 1) , (2) u ( t, 0) = u ( t, 1) = v ( t, 0) = v ( t, 1) = 0 , t∈
A Stochastic Availability Prediction Model for Head Nodes in the HA Cluster

In this paper, we propose a stochastic availability prediction model for head nodes in a high-availability(HA) cluster. Our model considers basic components (such as the head node and switch) in HA cluster and suggests simple node failure prediction through the survival probability of a node and the steady-state prediction of a two-component redundant system.
THE EFFECT OF ORGANIZATIONAL CULTURE ON ORGANIZATIONAL COMMITMENT IN PUBLIC HOSPITALS IN ETHIOPIA

ABSTRACT The purpose of this study was to examine the effect of organizational culture on organizational commitment at public hospitals in Addis Ababa. Structured questionnaires were used for collecting data. Organizational Culture Index and Organizational Commitment Questionnaire instruments were used to measure the independent and dependent variables of the study respectively. The gathered data was statistically analyzed with SPSS version 20. Sample of 405 respondents were chosen from the target population of 10800 through stratified and simple random sampling techniques. Out of the 405 questionnaires distributed, 365 copies were returned and 305 copies (90.12% response rate) were valid and used for analysis. The study revealed that bureaucratic organizational culture was the most dominant culture type prevailing at public hospital in Addis Ababa, Ethiopia. The analysis of organizational commitment survey showed that the level of affective and normative commitment was low, whereas the level of continuance commitment was moderate. The correlation analysis suggested that the relation between innovative and supportive culture with organizational commitment was positive and significant. Finally, public hospitals in Addis Ababa are recommended to give more emphasis on improving the innovative and supportive culture instead of bureaucratic culture as the later showed no significant effect on employee commitment. Keywords: bureaucratic culture, organizational commitment, public hospitals
Traviando-a Trace Analyzer to Debug Simulation Models

Verification and validation of simulation models are crucial steps to the success of a simulation project. Traces are a common and powerful mean to document the dynamic behavior of a model and are generated by most simulation engines. In this paper, we describe techniques and corresponding tool support that helps a modeler to gain insight in the dynamic behavior of complex simulation models based on trace analysis. We propose to visualize traces by message sequence charts. We use a common modal logic, namely the linear time logic (LTL), to identify states of int erest and a pattern system to make specification of formulas more productive. The proposed techniques are implemented in Traviando, a stand alone tool with an open XML interface to import traces from various modeling environments, e.g., the APNN toolbox, the ProC/B toolset and Mobius.
An efficient semantic query optimization algorithm

An efficient semantic query optimization algorithm is proposed, in which all possible transformations are tentatively applied to the query. Instead of physically modifying the query, the transformation process classifies the predicates into imperative, optional or redundant. At the end of the transformation process, all the imperative predicates are retained while the redundant predicates are eliminated. Optional predicates are retrained or discarded based on the estimated cost/benefit of retaining them. The issue of the grouping of semantic constraints to reduce the overhead of retrieving constraints and checking whether each constraint is relevant to the current query is also addressed. Based on the proposed algorithm, a prototype semantic query optimizer has been built and preliminary experiments show that the optimizer performs well for large databases. <<ETX>>
Dual instance and attribute weighting for Naive Bayes classification

Naive Bayes (NB) network is a popular classification technique for data mining and machine learning. Many methods exist to improve the performance of NB by overcoming its primary weakness - the assumption that attributes are conditionally independent given the class, using techniques such as backwards sequential elimination and lazy elimination. Some weighting technologies, including attribute weighting and instance weighting, have also been proposed to improve the accuracy of NB. In this paper, we propose a dual weighted model, namely DWNB, for NB classification. In DWNB, we firstly employ an instance similarity based method to weight each training instance. After that, we build an attribute weighted model based on the new training data, where the calculation of the probability value is based on the embedded instance weights. The dual instance and attribute weighting allows DWNB to tackle the conditional independence assumption for accurate classification. Experiments and comparisons on 36 benchmark data sets demonstrate that DWNB outperforms existing weighted NB algorithms.
Intelligent Analysis System in Time Series of Smart Health Home On-line Monitoring Data

The conception of smart health home (SHH) is proposed in recent years with aging of population. Automatic processing of monitoring data becomes essential for SHH. Intelligent data analysis system based on autoregressive models (AR-models) is developed for SHH on-line monitoring data analysis. This system has three components, including AR-models identification, AR-models adjustment, and boundaries of the Prediction Interval (PI) computation. In this system, the order of AR-models is determined based on the Final Prediction Error (FPE) criterion, and then keep AR-models agreeing sufficiently well with the observed data. The parameters of AR-models are adjusted online based on adaptive filter algorithms, and then keep AR-models describe the true system of time series monitoring vital signs data. The vital signs data from PhysioBank biomedicine database are used for system test. The results proved that it can be used for vital signals data-processing on-line.
Using Remote Heart Rate Measurement for Affect Detection

Current research suggests that using multiple can improve affect detection accuracy. Combining facial expression and physiological signals is one of the most common approaches in multimodal affect detection. Several methods and devices have been proposed for measuring physiological signals with simplicity and have been used widely in affective computing applications. Out of the various approaches, contact-less sensors which can measure physiological signals remotely are more desirable for everyday use and naturalistic applications. In this paper we proposed a novel fusion model for affect detection, which combines facial expression features and heart rate using a single video recording sensor. To our knowledge this is the first attempt to use physiological sensor remotely for affect detection. Results suggest that fusion of these features (facial expression and heart rate) can improve the accuracy of affect detection systems.
Can a file system virtualize processors

Supercomputers are comprising more and more processors and these processors are increasingly heterogeneous, with differing per formance characteristics. The conventional programming models assume that all nodes run in lockstep. Thus, applications run at the speed of the least powerful processor. We introduce DesyncFS, a new programming model based on the block abstraction of traditional file systems. It virtualizes the performance characteristics of processors; this allows their heterogeneity to be hidden. We show that DesyncFS allows cluster throughput to scale with average processor throughput instead of being limited by the slowest processor.
Familial communication and adolescent sexual behavior.

In 1976 the Project of Human Sexual Development (PHSD) conducted a major study on family life and sexual learning. This work involved personal interviews with over 1400 parents of young children in Cuyahoga County Ohio. A central purpose of that study was to describe parents practices hopes and desires for help with the sexual education of their children. This study continues that work with 1983 re-interviews of the adolescent children of a sample of the original families. This study 1) adds to the descriptive information gathered earlier on the timing and content of parent-child communication about sexuality 2) helped to estimate 2 new conceptual models and 3) looks at parents use of and need for assistance in their roles as sex educators of their children. Chapters 2 and 3 describe the methodology employed in the new study and the response rates and characteristics of the sample of 898 parents. Information on the sexual experience of teenagers who were interviewed is contained in chapter 4. Chapter 5 describes the content and process of parent-child verbal communication about sexuality in these families while the values held by both teens and parents about many aspects of sexuality are presented in chapter 6. Family members use of a variety of sources of sexual information and values clarification is contained in chapter 7. The 2 chapters which follow present the results of path analysis estimates of the effects of various factors on adolescent sexual development (chapter 8) and of effective parent-child communication (chapter 9). The final chapter summarizes the findings recommendations. Principal findings include: 1) of the various sources of social support and motivation examined only 1--friendship closeness--had a significant effect on sexual behavior; 2) participation in a sex education course had positive effects for both males and females; 3) the number of sexual topics that had ever been discussed with each partner did not appear to affect the sexual activity patterns of female adolescents but did have certain effects for boys; and 4) the greater the number of topics teens and their mothers had discussed the more often teens were able to correctly identify the mothers but not fathers sexual values.
El virus de la inmunodeficiencia humana tipo 1 y el sistema nervioso central en desarrollo.

Actualmente, hay mas de 42 millones de infectados con el virus de la inmunodeficiencia humana tipo 1 (VIH-1), de los cuales, 3,2 millones son ninos y, de estos, el 90% con transmision vertical de la infeccion. Se considera que en Colombia mas de 200.000 personas se han infectado desde el inicio de la pandemia y los estudios muestran una tendencia constante al aumento en las cifras de seroprevalencia en mujeres embarazadas y, por ende, en el numero de recien nacidos infectados. El VIH-1 es primordialmente linfotropico, pero su tropismo por el sistema nervioso central (SNC) es bien conocido, lo que genera multiples alteraciones neurologicas, particularmente prominentes en ninos, de las cuales la mas prevalerte es la encefalopatia. Clasicamente, se reconocen dos tipos de encefalopatia en esta poblacion: encefalopatia temprana y tardia, ambas con diferentes caracteristicas clinicas e inmunologicas. La infeccion por el VIH-1 en el SNC esta limitada a los macrofagos, la microglia y los astrocitos en menor escala. Las neuronas, celulas principalmente afectadas en los pacientes con sida, raras veces son infectadas, por lo que se postula que factores solubles, provenientes tanto del huesped como del virus, son los principales causantes del dano neuronal. Los hallazgos presentados en esta revision sugieren la posibilidad de que el SNC, en etapas tempranas del desarrollo, sea especialmente susceptible a la infeccion por el VIH-1. Las cifras epidemiologicas sugieren que este tipo de alteraciones clinicas seran cada vez mas frecuentes; de ahi, la importancia de conocer la neuropatogenesis de la infeccion por el VIH-1.
Mixed-mode CMOS implementation of 2-D pseudo-Gabor wavelets for facial feature extraction

A CMOS implementation of 2-D pseudo-Gabor wavelets is presented. The mixed-mode circuitry, which is a generalization of the R-2R ladder D/A converter, is capable of generating analog features that are useful for face recognition. Experimental results from a 9/spl times/9 pipelined array fabricated in a 2 micron CMOS process are presented.
How to handle lexical semantics in SFL: a corpus study of purposes for using size adjectives

This paper presents an attempt to study uses of size adjectives in English, German and Russian in their relationship to the communicative intentions of the speaker. The paper starts with a list of size adjectives to be studied and problems with their descriptions in existing studies. Then, I will present the systemic network for describing the uses of the size adjectives in texts and the trinocular view on the lexical network: ‘from around’, ‘from above’ and ‘from below’. Finally, I will discuss types of translation equivalence and differences between translations, when uses are described by means of the lexical network.
Exploring XML data is as easy as using maps

For keyword search on XML data, traditionally, a list of query results in the form of subtrees will be returned to users. However, we find that it is still not sufficient to meet users' information needs because: (1) the search intention of a certain keyword query varies from person to person; (2) amongst the query results, they may have sibling or containment relationships (in the context of whole XML database), which could be important for users to digest the query results and should be shown to users. Therefore, we try to equip the traditional XML keyword search engine with our new exploration model XMAP, providing user an interactive yet novel way to explore the results with better user experience.
Hierarchical Parallelization of Molecular Fragment Analysis on Multicore Cluster

— Molecular fragment analysis, using connected component identiﬁcation algorithm, is of great signiﬁcance for structural and chemical analysis in computer aided material design. However, it is a great challenge to accelerate molecular fragment analysis due to the scale, diversity and irregularity of molecular graphs. To address this challenge, we propose a hierarchical parallelization approach consisting of: (1) inter-node parallelization via spatial decomposition and hook-and-contract algorithm; (2) inter-core parallelization via master-and-worker scheme; and (3) locality optimization based on space-ﬁlling curve to improve memory accessing. Experiments show that the proposed scheme achieves nearly linear inter-node strong scalability up to 50 million vertices molecular graph on 32 computing nodes, and over 13-fold inter-core speedup on 16 cores. The experiments also demonstrate the effectiveness of locality optimization on performance enhancement.
Investigation into a whitening-rotation-based semi-blind MIMO channel estimation for correlated channels

In this paper, a whitening-rotation (WR)-based semi-blind channel estimation method for a multiple input multiple output (MIMO) wireless communication system is investigated. The relationship between the estimation accuracy and the channel properties is analyzed. It is shown that the channel estimation minimum square error (MSE) of the investigated semi-blind estimation scheme is dependent on the sum of eigenvalues of the channel auto-correlation matrix. The computer simulations support this conclusion.