Miracle-dz/UniFAR-FTUs huggingface dataset:
Chatbots are natural web interface to information portals

In this paper we describe a way to access informati on using chatbot, without the need for sophisticated n atural language processing or logical inference. FAQs are Frequently-Asked Questions documents, designed to capture the logical ontology of a given domain. Any Natural Language interface to an FAQ is constrained to reply with the given Answers, so there is no need f or NL generation to recreate well-formed answers, or for deep analysis or logical inference to map user input que stions onto this logical ontology; simple (but large) set of pattern-template matching rules will suffice. In th is paper and as an evidence for this argument, the FAQ in th e School of Computing (SoC) at the University of Leed s as well as Perl, Linux, and Python were used to retrai n the ALICE chat-bot system, producing FAQchat. The repli es from FAQchat looks like results generated by WWW search engines such as AskJeeves or Google. User tr ials with AskJeeves, Google and FAQchat demonstrate that FAQchat is a viable alternative, and in fact many u sers prefer it to Google as tool to access FAQ databases . The restricted domain of an FAQ is special case of Ques tionAnswering which does not require the sophisticated analysis techniques.
Modelos de Previsão de Insolvência Bancária no Brasil

The article examines the performance, between 1995 and 1998, of two alternative early warning models of bank insolvency - logistic regression and Cox´s proportional risk. The models provide estimates of the conditional probability of a bank staying in good standing longer than a certain period of time. The reasonable accuracy of the results in terms of anticipating bank insolvency suggests the appropriateness of the use of early warning models by the Central Bank of Brazil as an additional instrument for financial system supervision.
A Hybrid Deduplication for Secure and Efficient Data Outsourcing in Fog Computing

With prevalence of remote storage services, data privacy issues become more serious owing to loss of control to outsourced data. In the meanwhile, the service providers tend to minimize storage utility costs. To minimize the storage costs while preserving data privacy, secure deduplication techniques have been proposed, which are categorized into client-side or server-side approaches. Client-side approach achieves storage and bandwidth savings at the same time but allows external adversaries to know existence of duplicates in the remote storage. On the contrary, server-side one prevents the adversaries from getting acknowledged but sacrifices network bandwidth savings. In fog computing, however, which is a new computing paradigm extending the cloud computing by outsourcing a centralized workload of the cloud to geographically distributed fog devices located at the edge of the networks, the previous deduplication schemes cannot guarantee efficiency improvement and privacy preservation simultaneously. In this paper, we present a simple but nontrivial solution of these contradictory issues in fog storage. The proposed hybrid secure deduplication protocol combines client-and server-side deduplications by taking untrustworthy fog storage environments into account. The client-side deduplication is applied in inter-network (i.e., cloud-fog network) communications to prevent network congestion at the network core, while the server-side deduplication is adopted in intra-network (i.e., user-fog network) communications to prevent information leakage via side channels for maximal data privacy. Performance and security analyses demonstrate the comparable efficiency of the proposed scheme with security enhancement.
Human immunodeficiency virus infection in vitro activates naturally integrated human papillomavirus type 18 and induces synthesis of the L 1 capsid protein

IP: 54.70. 40.11 On: Sat, 09 Feb 2019 19:54:24 Journal of General Virology (1999), 80, 2937–2944. Printed in Great Britain .
Low-Feedback-Rate and Low-Complexity Downlink Multiuser MIMO Systems

In this paper, we propose a practical downlink multiuser multiple-input-multiple-output (MU-MIMO) system. The proposed MU-MIMO system focuses on improving two limiting factors for practical implementations of MU-MIMO: 1) feedback rate and 2) computational complexity. First, users efficiently feed their channel-state information back with low feedback rate based on the proposed channel-quantization method. Second, the beamforming matrix at the base station is easily computed using singular value decomposition (SVD). Numerical results show that the proposed MU-MIMO system achieves a higher sum rate than conventional MU-MIMO systems, particularly at low feedback rate, while the computational complexity is kept reasonable.
Comparison of Web service architectures based on architecture quality properties

Web service research has been focused on the issues of automatic binding, performance, scalability, and security, however, little research has been done in evaluation of Web service architectures, namely Broker based. Examples of these are Matchmaker Broker, Layered Matchmaker, Facilitator, Layered facilitator, and Peer to peer (P2P) based, such as P2P Discovery, Match Maker and P2P, Split Code and P2P execution, Mobile Code with P2P etc. Another consideration is its impact on the adoption in distributed Internet environment. In this paper we introduce a methodology for measuring and evaluating Web service architecture style, and we present our development of a set of architectural quality properties, and use these quality properties to carry out comparison and contract of current Web services architectures. We provide a detailed analysis and critique of these, and these could be served as a guidelines for the next generation of Web services development, which could adopted into the distributed environment.
Forecasting the covariance matrix with the DCC GARCH model .

In the portfolio optimizing such as the Black Litterman the covariance matrix is essential. The usual approach is to forecast the future covariance matrices only based on equally weighted historical returns, which implies the covariance matrix is constant over time. Lately, more complex time-varying models that give a greater weight to the more recent returns, such as the multivariate GARCH models, have been developed. The aim of this thesis is to evaluate how forecasts of the Dynamic Conditional Correlation model of Engle and Sheppard (2001) performs compared to the traditional one. To evaluate the forecasts performances the unique property of the global mean-variance portfolio (GMVP) is used, namely that the most correct forecast of the covariance matrix will generate the least variance of the GMVP. Presented results show that the dynamic conditional correlation tend to out perform the covariance matrix based on historical data in the short run, while in the long run the reverse relationship holds. ∗E-mail: therese.peters@gmail.com. Supervisor: Thomas Höglund. Acknowledgement This project commissioned by Fjärde AP-fonden represents a 30-credits Diploma thesis in mathematical statistics at Stockholm University. First and foremost, I would like to thank Fjärde AP-fonden for giving me the responsibility to work with this question on their behalf. Especially, I would like to thank Catrin Abrahamsson-Pohjanen and Claes Ahrel for their tremendous support and help throughout this thesis. I would also like to thank my supervisor Thomas Höglund at Stockholm University for his assistance. Last but not least, I am also grateful for all support and inspiration from Andreas Jäger, Per-Sigurd Agrell and my family.
The anatomy of a Turkish speech recognition system

In this paper, we present a Turkish speech recognition system we have developed. We will be giving information about the building of our system and tests we conducted on it. SUVoice voice database, along with METU 1.0, was used in the training of our acoustic models. We performed limited vocabulary and large vocabulary recognition tests. We have shown the performance of modern hidden Markov model based systems for Turkish speech recognition. For simple tasks, we can obtain 1% word error rate, whereas for large vocabulary tests the error rate is higher. This work will constitute a basis for more advanced future works in Turkish speech recognition and contribute to the accumulated knowledge in the field.
Evidence for Shared Genetic Influences on Self-Reported ADHD and Autistic Symptoms in Young Adult Australian Twins

Abstract Recent clinic-based and population-based studies have shown evidence of association between ADHD and autistic symptoms in children and adolescents as well as evidence for genetic overlap between these disorders. The objective of the current study was to confirm the association between autistic and ADHD symptoms in a young adult twin sample assessed by self-report, and investigate whether shared genetic and/or environmental factors can explain the association. We performed twin-based structural equation modeling using self-report data from 11 Social Responsiveness Scale (SRS) items and 12 DSM-IV ADHD inattentive and impulsive symptom items obtained from 674 young adult Australian twins. Phenotypic correlation between autistic and ADHD symptoms was moderate. The most parsimonious univariate models for SRS and ADHD included additive genetic effects and unique environmental effects, without sex differences. ADHD and autistic traits were both moderately heritable. In a bivariate model, genetic correlation (rg) between SRS and ADHD was 0.72. Our results suggest that in young adults, a substantial proportion of the genetic influences on self-reported autistic and ADHD symptoms may be shared between the two disorders.
Experience and methodology gained from 4 years of student satellite projects

The AAU Cubesat student satellite project at Aalborg University was initiated in September 2001 and led to the launch of the satellite on the 30th of June 2003 with a "Rockot" rocket from Plesetsk in Russia. The satellite survived three months in orbit and based on the experiences gained the next student satellite project was commenced called AAUSAT II which is due for launch early 2006. This paper presents the experiences gained and lessons learned from the work with student satellite projects at Aalborg University as well as the methodology used to manage these projects. First an introduction to the concept of student satellite project,, is given and the two student satellite projects are introduced. Then an introduction and description of the problem based learning concept used at Aalborg University is given and advantages of applying it to these projects are discussed. The benefits of student satellite projects are also discussed. Finally the specific management methods for the two projects are described and lessons learned from each project as well as a set of recommendations for future projects are given.
Advantages of joint access network planning in dense populated areas

The continuous increase of services bandwidth is forcing operators to upgrade their access networks. Fixed access networks are migrating from copper technology and GPON to new optical access networks, whereas mobile networks are migrating from 3G to 4G and in the near future to 5G. However, these migrations are being done in parallel and independently, causing inefficiency and increasing the costs. In this paper, we analyze two passive optical network architectures supporting access and backhaul networks. We present the comparison of independent vs. a joint access network planning with regard to cost. It is shown that new architecture offer savings (almost 20% savings in infrastructure costs when compared to GPON). Furthermore, a joint planning offers more savings (a further 3.5% with respect the disjoint planning) although using the same architecture. However, savings promise to increase significantly with the number of base stations, as expected with the use of smaller cells (e.g., micro- and pico-cells). The impact of protection to cost is also analyzed.
Libéralisation commerciale et échanges internationaux : le cas de l'agriculture en Tunisie

La these est consacree aux effets d'impact de la liberalisation commerciale dans un pays emergent : la Tunisie. La problematique est la suivante : la volonte tunisienne d’intensifier sa croissance passe-t-elle par la liberalisation agricole, ou celle-ci est-elle trop negative, surtout conjuguee aux mesures de stabilisation recommandees a la Tunisie ? La liberalisation agricole ne repose pas que sur la suppression des protections tarifaires ou des restrictions quantitatives faisant l'objet d'Accords Internationaux. La multiplicite des protections rend leur recensement et leur agregation difficiles. Dans notre recherche, c’est l’annee 1994 qui sert de repere temporel pour comparer l’evolution des echanges tunisiens avant et apres la signature de l’Accord de Marrakech. Le double choix que nous faisons d'un repere temporel et d'une analyse totalement longitudinale n'avait pas ete effectue pour traiter le cas de la liberalisation agricole tunisienne. Nos resultats econometriques, obtenus avec des modeles Near Var, montrent que la liberalisation est globalement favorable a la croissance et aux echanges commerciaux tunisiens. Toutefois, ces deux dernieres variables ne sont que faiblement expliquees par des relations stables. La liberalisation n'affecte donc qu'une part reduite des echanges et du PIB tunisiens. Cette analyse en equilibre partiel est completee par un modele d'equilibre general calculable sans fonction de Cobb-Douglas ou elasticite CES-CET. Il montre que la liberalisation agricole peut etre compatible avec la volonte de limiter le deficit budgetaire tunisien. Elle peut aussi favoriser la croissance, mais s'accompagne alors d'un risque de baisse des salaires.
Hourly Earnings Differentials for Unionised Labour: A Decile-Based Examination in Great Britain

This paper assesses the impact that trade unions have on the wage rates paid to full-time employees in Great Britain using data from the Quarterly Labour Force Survey. Unlike previous research, this analysis is conducted over the entire range of the earnings distribution, where it is found that unions have more scope for increasing the earnings of workers on the very lowest of wage rates. Asymmetries in the effect of union membership and union coverage are found for both male and female, manual and non-manual workers and we conclude that those studies which concentrate upon solely membership or coverage are likely to misjudge the true size of the union markup.
An introduction to Remy's fast polymorphic record projection

Traditionally, a record projection is compiled when all fields of the record are known in advance. The need to know all fields in advance leads to very clumsy programs, especially for querying external data sources. In a paper that had not been widely circulated in the database community, Remy presented in programming language context a constant-time implementation of the record projection operation that does not have such a requirement. This paper introduces his technique and suggests an improvement to his technique in the context of database queries.
A P2P-Botnet detection model and algorithms based on network streams analysis

Aimed at the situation that it is difficult to detect the peer-to-peer (P2P) botnet, we provide a new method for detection based on the analysis network streams. Firstly, because the P2P streams reveal the characteristics of paroxysm and distribution, we can filtrate them with streams feature for our targets to analyze. Then, according to the cohesion in a P2P network, we can figure out the set of peers in a P2P network. Finally, by contrasting with the common botnet actions of the peers in a P2P network, we can distinguish a P2P-Botnet from the P2P networks. Besides all, plenty of experiments have been done and proved the efficiency and veracity of this method.
A semiotic metamodel for bridging lexical and formal semantics

The amount of lexical resources that are developed either as long-term repositories, or as short-term products of NLP techniques, is growing significantly, posing the problem of understanding their commonalities and their potential for reusability and interoperability. A major concern for reusability and interoperability is the ability to control, both intellectually and computationally, the semantics of the data that are contained in a lexical resource. Lexical data semantics is usually left implicit, either because there is not a shared agreement on how to represent that semantics, or because developers of lexical resources do not customarily employ formal methods. This article presents Semion, a metamodel for bridging lexical and formal semantics, thus allowing the representation of relations (e.g. annotation, reuse, mapping, transformation, etc.), which can hold between the elements of a lexicon (either established, like WordNet, or created for local purposes), and the elements of a typed logical theory, e.g. an ontology. Semion is based on a standard version of semiotics, and is applied to define metamodels for lexical resources, such as a FrameNet (Baker, Fillmore and Lowe, 1998) metamodel (OntoFrameNet), and to introduce a formal method for lexical information integration. Elsewhere (Gangemi, 2008b), Semion has been founded on an ontology of schemata (Lakoff, 1987, Johnson, 1987, Langacker, 1990, Talmy, 2003), where schemata are considered as invariances that emerge from the co-evolution of organisms and environment, and that are exemplified by neurobiological, cognitive, linguistic, and social constructs. That foundation allows to liaise lexical and formal semantics with cognitive linguistics and construction grammar. However, it is not described here for space reasons. While specific relations between individual ontologies and lexica are addressed in literature quite often, e.g. (Gangemi, Guarino, Masolo and Oltramari, 2003, Buitelaar, Choi, Gangemi, Huang and Oltramari, 2007, De Luca, Eul and Nürnberger, 2007, Scheffczyk, Baker and Narayanan, 2008, Huang, Calzolari, Gangemi, Lenci, Oltramari and Prevot, 2008), it is far less usual to propose a metamodel to formally represent the liaison between lexical and formal semantics. Metamodels have been proposed to abridge different lexical resources, starting with OLIF (McCormick, Lieske and Culum, 2004), and recently with reference to lexical semantics, as in LMF (Francopoulo, George, Calzolari, Monachini, Bel, Pet and Soria, 2006), where an attempt has been made to informally align some lexica under a same
The Contribution of Alexithymia to Obsessive-Compulsive Disorder Symptoms Dimensions: An Investigation in a Large Community Sample in Italy

Poor attention has been dedicated to the relation between Alexithymia and specific OCD symptoms dimensions. Knowledge about which Alexithymia domains are the most affected ones in OCD dimensions could inform clinical practice, suggesting the need for the introduction of psychotherapeutic interventions targeting Alexithymia deficits. The current study aimed to investigate which OCD symptom dimension correlated with Alexithymia domains. A total of 425 community individuals (mean age = 27.80, SD = 9.89, 60% women) completed measures of Alexithymia, OCD symptoms dimensions, anxiety, and depression. Moderate correlations emerged between Difficulty Identifying Feelings and Hoarding (r = .36, p < .001) and Checking symptoms (r = .34, p < .001) and between Difficulty Describing Feelings and Pure Obsessing (r = .31, p < .001). Difficulty Identifying Feelings uniquely predicted OCD symptoms (β = 0.20, t = 3.96, and p < .001), after controlling for anxiety and depression. A main effect emerged of Alexithymia on Ordering (β = 0.70, t = 2.50, p < .05) and Pure Obsessing symptoms (β = 0.043, t = 2.08, and p < .05). Psychotherapeutic interventions specifically targeting Alexithymia should be integrated in the treatment of Ordering and Pure Obsessing symptoms. Difficulty Identifying Feelings and Difficulty Describing Feelings should be addressed in the psychotherapeutic treatment of Hoarding, Checking, and Pure Obsessing, respectively.
A statistical study of pitch target points in five languages

We present the results of a large-scale statistical study of pitch target points in five languages, on a corpus comprising 4 hours 20 minutes of speech and involving 50 different speakers. The entire corpus has been stylized automatically by a technique reducing the F0 contour to a series of target points representing the significant pitch changes. It was then entirely verified by experts using a resynthesis method, in order to ensure that there was no audible difference with the original. The set of ca. 50000 pitch target points thus obtained was then analyzed from a statistical point of view. In this paper we describe the main results of this study, in terms of frequency distribution of target points, pitch movements and relation of pitch movements to time interval. Our study reveals interesting differences across languages and sex.
Towards the integration of social dominance and spatial structure

My aim was to show how individual-oriented (or artificial life) models may provide an integrative background for the development of theories about dominance by including effects of spatial structure. Dominance interactions are thought to serve two different, contrasting functions: acquisition of high rank and reduction of aggression. The model I present consists of a homogeneous virtual world inhabited by artificial agents whose actions are restricted to grouping and dominance interactions in which the effects of winning and losing are self-reinforcing. The two functions are implemented as strategies to initiate dominance interactions and the intensity of aggression and dominance perception (direct or memory based) are varied experimentally. Behaviour is studied by recording the same behavioural units as in real animals. Ranks appear to differentiate more clearly at high than at low intensity of aggression and also more in the case of direct than of memory-based rank perception. Strong differentiation of rank produces a cascade of unexpected effects that differ depending on which function is implemented: for instance, a decline in aggression, spatial centrality of dominants and a correlation between rank and aggression. Insight into the origination of these self-organized patterns leads to new hypotheses for the study of the social behaviour of real animals. Copyright 2000 The Association for the Study of Animal Behaviour.
Wavelet transform to recognize muscle fatigue

Electromyography (EMG) is to measure the muscle response to nervous stimulation. The power spectrum of the EMG shifts towards lower frequencies during a continued muscle contraction due to muscular fatigue. Muscle fatigue is the decline in ability of a muscle to create force. This research presents the effectiveness of the wavelet transform applied to the surface EMG (SEMG) signal as a means of understanding muscle fatigue during walk. Power spectrum and bispectrum analysis on the EMG signal getting from right rectus femoris muscle is executed utilizing various wavelet functions (WFs). It is possible to recognize muscle fatigue appreciably with the proper choice of the WF. The outcome proves that, the most momentous changes in the EMG power spectrum symbolized by WF Daubechies4. Moreover, bispectrum properties compared to the other WFs. To determine muscle fatigue during gait, Daubechies45 is used in this research to analyze SEMG signal.
A hierarchy of authentication specifications

Many security protocols have the aim of authenticating one agent to another. Yet there is no clear consensus in the academic literature about precisely what "authentication" means. We suggest that the appropriate authentication requirement will depend upon the use to which the protocol is put, and identify several possible definitions of "authentication". We formalize each definition using the process algebra CSP, use this formalism to study their relative strengths, and show how the model checker FDR can be used to test whether a system running the protocol meets such a specification.