Miracle-dz/UniFAR-FTUs huggingface dataset:
Étude de l'aimantation des corps ferromagnétiques au-dessus du point de Curie

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Étude de l’aimantation des corps ferromagnétiques au-dessus du point de Curie Pierre Weiss, G. Foex
The twiddler: A haptic teaching tool: Low-cost communication and mechanical design

A downshift control circuit including a self-holding element is coupled through an electrohydraulic transducer to the hydraulic power transmission of a road vehicle to supply thereto a downshift signal in the form of fluid. The self-holding element is operated upon depression of the brake pedal and released upon depression of the accelerator pedal. The electro-hydraulic transducer is operated by the self-holding element to apply said downshift signal once the brake pedal is depressed so that shifting point is moved to a higher speed to effect a downshift to the next lower speed. With the transmission gear at low, the braking effort of the engine is utilized to the fullest extent as an aid to the normal braking.
DLOTS: A Distributed Level Ordered Transaction Scheduler

Locking and time-stamp are two basic ways for concurrency control (CC). In distributed database system, CC based on locking will cause global blocking. Time stamp is suited for distributed DBMS but will encounter performance degradation for centralized DBMS. For the DB containing both global transactions (txns) and local txns, we propose a new CC approach DLOTS to optimize the scheduling for global and local txns. DLOTS is based on the idea of “level”. Each txn has a level number, which can be changed based on the availability of data. Using DLOTS, the high degree of concurrency can be permit for both global and local txns. In the paper, we give algorithms for local and global txns in detail.
Similarités pour données textuelles

: Similarities for textual data The evaluation of similarities between textual entities (documents, sentences, words.) is one of the central issues for the implementation of efficient methods for tasks such as description and exploration of textual data, information retrieval or knowledge extraction (text mining). The main purpose of this contribution is to propose a comparative presentation of different approaches used to define the notion of similarity in fields such as Textual Data Analysis, Information Retrieval or Text Mining. We first discuss some of the linguistic treatments (tagging, lemmatization, …) necessary for the pre-processing of the textual data and then analyze some of the measures (cosinus, chi-square, Kullback-Leibler) used to quantify the similarities (or dissimilarities) between textual entities. Finally, we present some techniques allowing to improve the quality of the similarities in the case where additional knowledge, such as external corpora or semantic graphs, is available.
ESTUDIO DE LAS RELACIONES ENTRE PERSONALIDAD Y CAPACIDAD RESILIENTE.

En la evolucion del conocimiento psicologico se ha puesto particular atencion en comprender y explicar las carencias y deficits de los individuos por sobre las fortalezas o capacidades de las que disponen o pueden generar. En los ultimos anos el surgimiento de la perspectiva positiva en psicologia ha aportado un nuevo abordaje de los fenomenos psiquicos, al investigar de que manera y por medio de que mecanismos, aun ante circunstancias de maxima tension y estres, hay personas capaces de generar emociones positivas, recursos de afrontamiento eficaces y desarrollar fortalezas que favorecen estados saludables. Este fenomeno ha ido aumentando el interes por identificar los factores, circunstancias y procesos asociados a condiciones salugenicas. En esta linea, el estudio que se presenta tuvo por objetivo investigar que caracteristicas de personalidad se asocian a una mayor resiliencia en personas que han vivido experiencias de alto impacto emocional y riesgo para la integridad personal como los sobrevivientes de una guerra. Se administraron el Inventario Millon de Estilos de Personalidad MIPS y la Escala de Resiliencia RSA a un total de 104 ex - combatientes de Malvinas. Los resultados obtenidos aportan evidencia sobre la relacion entre caracteristicas adaptativas del funcionamiento personal y mayor resiliencia. Palabras Clave Personalidad, Resiliencia, Ex-combatientes. Abstract STUDY OF THE RELATIONSHIP BETWEEN PERSONALITY AND RESILIENT CAPACITY In the evolution of psychological knowledge particular attention has been paid to understand and explain the shortcomings and deficiencies of individuals over the strengths and capabilities that they have or can generate. In recent years the emergence of the positive psychology perspective has provided a new approach to psychic phenomena, by investigating how and through what mechanisms, even in maximum tension and stress circumstances, there are individuals that can generate positive emotions, effective coping resources and develop strengths that promote healthy states. This phenomenon has been increasing the interest in identifying the factors, circumstances and processes associated with salutogenic conditions. In this vein, the study presented aimed to investigate which personality characteristics are associated with greater resilience in people who have experienced high emotional impact and risk to personal safety situations such as war survivors. They Were administered the Millon Index of Personality Styles MIPS and the Resilience Scale RSA to a total of 104 ex-combatants of Malvinas. The findings provide evidence on the relationship between adaptive features of personal functioning and greater resilience. Key Words Personality, Resilience, Ex-combatants.
Roget: acquiring the conceptual structure of a diagnostic expert system

This paper describes ROGET, a knowledge-based system that assists a domain expert with an Important design task encountered during the early phases of expert-system construction. ROGET conducts a dialogue with the expert to acquire the expert system's conceptual structure, a representation of the kinds of domain-specific inferences that the consultant will perform and the facts that will support these inferences. ROGET guides this dialogue on the basis of a set of advice and evidence categories. These abstract categories are domain Independent and can be employed to guide initial knowledge acquisition dialogues with experts for new applications. This paper discusses the nature of an expert system's conceptual structure and describes the organization and operation of the ROGET system that supports the acquisition of conceptual structures.
A virtual universe utilizing haptic display

This paper summarizes a virtual reality universe application in which a user can travel between four virtual worlds through the use of haptic buttons. Each of the worlds demonstrates different aspects of haptic rendering which together create a wide base for force feedback effects. Specifics of the rendering algorithms will be discussed along with possible uses and modifications for other real-life applications.
Acceleration methods of numeric CSPc

This paper introduces a new way of accelerating the convergence of numeric csp filtering algorithms, through the use of extrapolation methods. Extrapolation methods are used in numerical analysis to accelerate the convergence of real number sequences. We will show how to use them for solving numeric cSPs, leading to drastic improvement in efficiency.
Multiple Classification Ripple Round Rules: Classifications as Conditions

The Ripple Down Rules (RDR) approach was developed by Compton and Jansen (Compton and Jansen 1989; Compton and Jansen 1992) to effectively remove the maintainability concerns of expert systems. This method was used to create an advanced expert system to assist in the performance of medication reviews. However, work in this area, although very successful, led to the realisation that the RDR method did have its drawbacks, since with this method it was no longer possible to define rules which were dependent on the presence or absence of a classification or classifications. Previously, attempts were made to address this, with Recursive RDR (Mulholland 1995), Nested RDR (Beydoun and Hoffmann 1997) and Repeat Inference MCRDR (Compton and Richards 1999) all deserving acknowledgement in this regard. However, all of these approaches had their own shortcomings. Recursive RDR suffered problems with cyclic rule definitions, and was very domain specific (Mulholland 1995). Nested RDR was concerned more with the idea of intermediate classifications, rather than the more general problem of being able to define a rule based on the presence/absence of a classification or classifications (Beydoun and Hoffmann 1997; Beydoun and Hoffmann 2001). Repeat Inference MCRDR tackled the general problem, but its approach at preventing cycles – to not allow the retraction of assertions – fundamentally limits the scope of rules which can use classifications as conditions. In addition to this, there is some minor concerns as to the efficiency of the inference strategy, which simply repeatedly inferences the knowledge base until no further changes to the outputs are detected (Compton and Richards 1999; Finlayson 2008). Having considered these various approaches, it was felt that a new method could be defined which solved the problem, without need for such rigorous restrictions with regards to how the method could be applied, and preferably with a more elegant inference strategy. Presented in this thesis is the definition of a new method, entitled Multiple Classification Ripple Round Rules which, the author feels, largely achieves these goals. With this approach it is only necessary to revisit nodes which might have been influenced by the addition/retraction of a given classification, and cyclic rule definitions are managed by simply detecting when the expert is potentially defining one, and asking them to revise their rule. The method was successfully applied to a complex configuration task, and further evaluated through simulation studies.
La socialización cultural en la primera infancia a través de la literatura de tradición oral

La necesidad de abordar con suficientes garantias una escolarizacion cada vez mas temprana ha llevado a linguistas y pedagogos a formalizar al maximo la ensenanza de la lengua materna. Un proceso que tradicionalmente se desarrolla en familia, de forma natural y espontanea, se ve asi analizado, sistematizado y reconducido en el aula de educacion maternal para reproducir las situaciones comunicativas mas habituales de la primera infancia 1
Data warehouse stream view update with hash filter.

A data warehouse usually contains large amounts of information representing an integration ofbase data from one or more external data sources over a long period of time to provide fast-query response time. It stores materialized views which provide aggregation (SUM, MIX, MIN, COUNT and AVG) on some measure attributes of interest for data warehouse users. The process of updating materialized views in response to the modification of the base data is called materialized view maintenance. Some data warehouse application domains, like stock markets, credit cards, automated banking and web log domains depend on data sources updated as continuous streams of data. In particular, electronic stock trading markets such as the NASDAQ, generate large volumes of data, in bursts that are up to 4,200 messages per second. Updating data warehouse views computed from such stream updated base tables require frequent transportation of either huge updated base tables or the newly arriving streams of data, updated from the data source sites to the data warehouse site. This approach will slow down query response time and lead to a network bottleneck. Data warehouse views can be maintained incrementally with only arriving new stream data tuples by using a semi-join approach to improve on both the network traffic and response time of query. However, this semi-join based view maintenance method still suffers from the drawback of shipping long bytes of update stream of tuples through the network and performing repetitive joining operations even for arriving duplicate tuples. This thesis proposes a new view maintenance algorithm (StreamVup), which improves on semi-join methods by using hash filters. The new algorithm first, reduce the amount of bytes transported through the network for streams tuples, and secondly reduces the cost of join operations during view update by eliminating the recompution of view updates caused by newly arriving duplicate tuples.
Formalization and classification of product requirements using axiomatic theory of design modeling

The objective of the present thesis is to transform the customer requirement described in a natural language into a formal specification. The effective specification of product requirements is critical for designers to deliver a quality design solution in a reasonable range of cost and time. No significant research results have been reported in the literature regarding the generation of formal design specification, regardless of its important roles in product development. A good specification depends on a well-defined classification and categorization of product requirements, on flexible means of representation that can capture the various structures behind the requirements, and also on the formalization of natural language based description of the design problem. The present thesis proposes two criteria to classify the product requirements based on the structure of the product-environment. A graphical language, named ROM, is developed to represent the formal specification of the design problem. Since majority of design problems are described in a natural language, the relationship between the formal specification and the structure of natural language is investigated in the present thesis by the formal linguistic analysis
Les femmes hooligans : paralogisme ou réalité sociale éludée ?

La question du genre est un fait reconnu depuis tres longtemps dans la construction des actes delictueux. Mais, ce qui est surprenant dans le cas tres precis du hooliganisme, c’est le fait qu’aucune etude ne se soit jamais interessee a l’existence ou non de femmes hooligans. Est-ce a dire qu’il n’en existe pas ? La realite sociale du hooliganisme en Europe est bien differente. Il existe des femmes hooligans. Leur negation tient a de multiples raisons : l’absence de traitement de la singularite, les a priori positifs dont jouissent les femmes face aux comportements violents, l’utilisation d’une definition trop restrictive du hooliganisme qui empeche de comprendre la genese de certains evenements et la place des femmes dans ceux-ci, la difficulte de penser une violence feminine alors que certaines femmes subissent chaque jour de nombreuses formes de violences. A travers l’etude des noyaux durs des groupes de supporters du football en France, on observe cependant qu’un certain nombre d’entre elles reconnaissent participer et avoir participe a des actes hooligans. Elles possedent parfois des roles et des statuts importants au sein des groupes qui les ont obligatoirement confrontes a la violence. Si, physiquement, elles ne sont pas au cœur des affrontements les plus durs, elles en sont parfois les instigatrices ou les egeries de certains groupes pour qui la violence est une partie integrante et integrative du supporterisme.
Brief anger management programs with offenders: Outcomes and predictors of change

Anger management interventions with offenders, particularly violent offenders, are a common form of rehabilitative activity. The rationale for addressing anger problems is clear-cut and there is good evidence that anger management can be effective with some client populations. Information relating to effectiveness with serious offenders, however, is sparse. An intervention study is reported in which offenders receiving anger management were compared with waiting list controls on a range of dependent measures. In general, the degree of pre-treatment/post-treatment change was small and experimental versus control differences were not statistically significant. The degree of improvement was found to be predictable from pre-treatment measures of anger and treatment readiness. Explanations of the low impact of anger management on violent offenders are discussed and recommendations made for improving outcomes.
Factors that influence reliance on decision aids: a model and an experiment

While behavioral research has consistently documented the advantages of using decision aids, decision makers have been reluctant to rely on them, generally with unfavorable results. We offer a model of aided decisions that incorporates both the level of reliance on the decision aid and the agreement of aided decisions with the decision aid's advice. The level of reliance is an attribute of the decision strategy adopted by the aided decision maker, while the extent of the decision maker's agreement with the decision aid is observed by comparing the aided decisions with the aid's advice. The model also includes a classification scheme for factors that affect decision strategy. The categories in this classification scheme are decision aid features, decision maker characteristics, decision task characteristics, and factors affecting the evaluation of decision strategies. In an experiment testing the sensitivity of decision aid reliance, neither the extent of algorithm revelation (revealed or hidden) nor decision framing (positive or negative) affected the level of reliance on the decision aid. Task difficulty affected the extent of agreement with the decision aid.
Identificação automática de espécies de pássaros a partir da análise do canto

This paper deals with the automated bird species identification problem in which it is necessary to identify the species of a bird from its audio recorded song. Different features sets which summarize in different aspects the audio properties of the audio signal are evaluated in this paper together with machine learning algorithms. Experiments conducted in a dataset of three bird species have shown that it is possible to obtain very promising results. Resumo. Este artigo trata do problema da identificação automática de espécies de pássaros onde busca-se identificar as espécies a partir de amostras gravadas do canto. São avaliadas diferentes caracterı́sticas que podem ser utilizadas para modelar diferentes aspectos do sinal de áudio juntamente com algoritmos de aprendizagem de máquina. Experimentos realizados em um conjunto de dados de amostras de cantos de três espécies de pássaros mostraram que é possı́vel obter resultados promissores a partir dos conjuntos de caracterı́sticas utilizados.
Alberti’s «Bosch»: Ekphrasis as a means of return

A la pintura, the volume that includes the poem “El Bosco” that Irene Artigas analyses was created by the Spanish poet Rafael Alberti while he was in the exile for politic reasons. In this book, he turns into words his feelings about his past, his lost country and his lost youth days when he himself was a painter and spent most of his time at the Prado Museum in Madrid.
Poetical Discourse Analysis of a Tamil Song Ovvoru PuukkaLumee

This study is an attempt to analyze the Tamil movie song ‘Ovvoru PuukkaLumee ’ meaning ‘every flower’ from the Tamil movie 'Autograph'. This song is one of the popular songs of P. Vijay, a Tamil lyricist. The texture discourse of this song will be analyzed in terms of grammatical and lexical usages found by making use of discourse analysis.
Biometrics Hand Geometry Using Discrete Cosine Transform (DCT)

Biometrics are used for identification of individuals based on their physical or behavioral characteristics. Biometrics have gained importance in today's world where information security is essential. Hand geometry is one of the most well-known biometrics that implemented in many verification systems with various feature extraction methods. Hand biometrics are extensively used for personal authentication. This paper is implemented to compute features extraction using two dimensional discrete cosine transform (2D-DCT). The evaluation of the system performance is calculated using matching metrics correlation.
Medarbetare och CSR – En rapport om de interna följderna av företags sociala ansvarstagande

Rapporten behandlar fragan om vilka interna konsekvenser som foljer av foretags CSR-arbete. Ett internt inriktat CSR-arbete kan medfora att kraven pa medarbetarna okar. Medarbetarna forutsatts skaffa sig kunskap om CSR, relatera begreppet till den egna arbetssituationen, prestera konkret i fraga om CSR och bejaka foretagets normativa stallningstaganden. Dessa krav medfor fyra grundlaggande problem som foretagen behover kunna hantera i sitt internt inriktade CSR-arbete. Kunskapsproblemet innebar att medarbetare och chefer i organisationer ofta ar omedvetna om de begrepp som anvands och vad den allmanna diskussionen kring foretagens sociala ansvar handlar om. Relevansproblem innebar att det ar svart att knyta etiskt laddade begrepp och ideer om ett socialt ansvar till den egna arbetssituationen. Prestationsproblemet handlar om att kraven pa medarbetarna att prestera okar, bland annat som en foljd av okade krav pa rapportering. Det normativa problemet uppstar om medarbetarna inte ar overens med foretagsledningen om vad som bor ses som etiskt ratt och riktigt. I de tva fallstudierna visar sig kunskaps- och relevansproblemen vara de storsta. Att knyta begrepp som ansvarsfullt foretagande, mission, vision och varderingar till den dagliga arbetssituationen ar inte okomplicerat, sarskilt inte i de fall da de chefer som kommunicerar ut dessa begrepp langt ifran alltid sjalva tycks ha en forstaelse for vad de innebar och vilken relevans for det praktiska arbetet som de har. Samtidigt visar det sig att CSR-arbetet ocksa far positiva foljder. Det kan namligen bidra till att medarbetarna identifierar sig pa ett tydligare satt med foretagets verksamhet och satter in den i en storre helhet.
Modeling speedup in parallel sparse matrix factorization

This paper is an attempt to explain the observed performance of sparse matrix factorization algorithms on parallel computers. In particular, we examine whether the disappointing performance of these algorithms is due to insufficient parallelism in the problem or to the architectural characteristics of existing parallel computers. Through a series of theoretical models of increasing realism, we first determine upper and lower bounds on the speedup that can be expected in practice for this problem, and end with a parameterized model that is capable of reproducing the full range of behavior within these bounds, including the speedups actually observed in practice. This model suggests that the current limits on speedup in sparse factorization are due to poor communication performance of the present generation of parallel computer architectures rather than to a lack of parallelism in the problem. 29 refs., 11 figs., 2 tabs.