873 resultados para Divergent Sets


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In this paper, relevant results about the determination of (k,t)-regular sets, using the main eigenvalues of a graph, are reviewed and some results about the determination of (0,2)-regular sets are introduced. An algorithm for that purpose is also described. As an illustration, this algorithm is applied to the determination of maximum matchings in arbitrary graphs.

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Generative divergent analysis (GDA) is a creative additive approach to raising insignificant details of experience to significance. A schematic view of the model highlights use of evocative objects as starting point for ‘turning towards’, ‘turning away’ and ‘being-in-relation-to’ as part of an ongoing burgeoning of experience.The model is exemplified by focusing on a wicker settee as an evocative object that was noticed in an early-years reception class. Revisiting the object generated several speculative ideas relating to the hidden curriculum and energies of childhood. Poetry and song were used during the revisiting in order to develop a more direct experience in addition to the more contemplative awareness that was evoked during the first encounters. As an additive process the outcome of GDA takes the form of unfinished resources for thinking.

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Cloud computing is increasingly being adopted in different scenarios, like social networking, business applications, scientific experiments, etc. Relying in virtualization technology, the construction of these computing environments targets improvements in the infrastructure, such as power-efficiency and fulfillment of users’ SLA specifications. The methodology usually applied is packing all the virtual machines on the proper physical servers. However, failure occurrences in these networked computing systems can induce substantial negative impact on system performance, deviating the system from ours initial objectives. In this work, we propose adapted algorithms to dynamically map virtual machines to physical hosts, in order to improve cloud infrastructure power-efficiency, with low impact on users’ required performance. Our decision making algorithms leverage proactive fault-tolerance techniques to deal with systems failures, allied with virtual machine technology to share nodes resources in an accurately and controlled manner. The results indicate that our algorithms perform better targeting power-efficiency and SLA fulfillment, in face of cloud infrastructure failures.

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Aim of the paper: The purpose of this paper is to examine human resources management practices (HRM practices) in small firms and to improve the understanding of the relationship between this kind of practices and business growth. This exploratory study is based on the resource-based view of the firm and empirical work carried out in two small firms by relating HRM practices with the firms’ results. Contribution to the literature: This is an in-depth study of HRM practices and its impact on performance growth in micro firms, isolating and controlling for most of the contextual and internal variables considered in the literature that relate HRM to growth. Firm growth analysis was broadened by the use of several dependent variables: employment growth and operational and financial performance growth. Some hypotheses for further research in identifying HRM practices in small business and its relation with firm growth are suggested. Methodology: Case study methodology was used to study two firms. The techniques used to collect data were semi-structured interviews to the owner and all the employees, unstructured observation at the firms’ facilities (during two days), entrepreneur profile definition (survey answer) and document data collection (on demographic characterization and performance results). Data was analyzed through content analysis methodology, and categories derived from the interviews’ protocols and literature. Results and implications: Results revealed that despite the firms’ organizational characteristics similarities, they differ significantly in owners’ motivation to grow, HRM practices and organizational performance and growth. Future studies should pay special attention to owner willingness to grow, to firms’ years of experience in business, to staff’s years of experience in their field of work and turnover. HRM practices in micro/small firms should be better defined and characterized. The external image of management posture relating to longitudinal financial results and growth should also be explored.

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Divergent and convergent margins actualistic models are reviewed and applied to the history of the western Alps. Tethyan rifting history and geometry are analyzed: the northern European margin is considered as an upper plate whereas the southern Apulian margin is a lower plate; the Breche basin is regarded as the former break-away trough; the internal Brianconnais domain represents the northern rift shoulder whilst the more external domains are regarded as the infill of a complex rim basin locally affected by important extension (Valaisan and Vocontain trough). The Schistes lustres and ophiolites of the Tsate nappe are compared to an accretionary prism: the imbrication of this nappe elements is regarded as a direct consequence of the accretionary phenomena already active in early Cretaceous; the Gets/Simme complex could orginate from a more internal part of the accretionary prism. Some eclogitic basements represent the former Apulian margin substratum (Sesia) others (Mont-Rose) are interpreted as the former edge of the European margin. The history of the closing Tethyan domain is analyzed and the remaining problems concerning the cinematics, the presence/absence of a volcanic arc and the eoalpine metamorphism are discussed.

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Rough Set Data Analysis (RSDA) is a non-invasive data analysis approach that solely relies on the data to find patterns and decision rules. Despite its noninvasive approach and ability to generate human readable rules, classical RSDA has not been successfully used in commercial data mining and rule generating engines. The reason is its scalability. Classical RSDA slows down a great deal with the larger data sets and takes much longer times to generate the rules. This research is aimed to address the issue of scalability in rough sets by improving the performance of the attribute reduction step of the classical RSDA - which is the root cause of its slow performance. We propose to move the entire attribute reduction process into the database. We defined a new schema to store the initial data set. We then defined SOL queries on this new schema to find the attribute reducts correctly and faster than the traditional RSDA approach. We tested our technique on two typical data sets and compared our results with the traditional RSDA approach for attribute reduction. In the end we also highlighted some of the issues with our proposed approach which could lead to future research.

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We provide a survey of the literature on ranking sets of objects. The interpretations of those set rankings include those employed in the theory of choice under complete uncertainty, rankings of opportunity sets, set rankings that appear in matching theory, and the structure of assembly preferences. The survey is prepared for the Handbook of Utility Theory, vol. 2, edited by Salvador Barberà, Peter Hammond, and Christian Seidl, to be published by Kluwer Academic Publishers. The chapter number is provisional.

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The following properties of the core of a one well-known: (i) the core is non-empty; (ii) the core is a lattice; and (iii) the set of unmatched agents is identical for any two matchings belonging to the core. The literature on two-sided matching focuses almost exclusively on the core and studies extensively its properties. Our main result is the following characterization of (von Neumann-Morgenstern) stable sets in one-to-one matching problem only if it is a maximal set satisfying the following properties : (a) the core is a subset of the set; (b) the set is a lattice; (c) the set of unmatched agents is identical for any two matchings belonging to the set. Furthermore, a set is a stable set if it is the unique maximal set satisfying properties (a), (b) and (c). We also show that our main result does not extend from one-to-one matching problems to many-to-one matching problems.

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ARTICLE 1 : RÉSUMÉ Amputation traumatique: Une étude de cas laotien sur l’indignation et l’injustice. La culture est un contexte essentiel à considérer pour produire un diagnostic et un plan d’intervention psychiatrique. Une perspective culturelle met en relief le contexte social dans lequel les symptômes émergent, et comment ils sont interprétés et gérés par la personne atteinte. Des études ethnoculturelles sur les maladies nous suggèrent que la plupart des gens nous donnent des explications pour leurs symptômes qui ont un fondement culturel. Bien que ces explications contredisent la théorie biomédicale, elles soulagent la souffrance des patients et leur permettent de donner une signification à cette dernière. L’exploration des caractéristiques, contextes et antécédents des symptômes permet au patient de les communiquer au clinicien qui pourrait avoir une explication différente de sa maladie. Cette étude de cas permet de montrer comment le Guide pour Formulation Culturelle du DSM-IV (The DSM-IV Outline for Cultural Formulation) permet aux cliniciens de solliciter un récit du patient en lien avec son expérience de la maladie. Notre étude examine l’utilisation par un patient laotien de « l’indignation sociale » (« Khuâm khum khang ») comme le modèle explicatif culturel de son problème malgré le diagnostic de trouble de stress post-traumatique qui lui fut attribué après une amputation traumatique. L’explication culturelle de son problème a permis au patient d’exprimer la signification personnelle et collective à sa colère et sa frustration, émotions qu’il avait réprimées. Cet idiome culturel lui a permis d’exprimer sa détresse et de réfléchir sur le système de soins de santé et, plus précisément, le contexte dans lequel les symptômes et leurs origines sont racontés et évalués. Cette représentation laotienne a aussi permis aux cliniciens de comprendre des expériences et les explications du client, autrement difficiles à situer dans un contexte biomédical et psychiatrique Euro-américain. Cette étude démontre comment il est possible d’améliorer les interactions entre cliniciens et patients et dès lors la qualité des soins par la compréhension de la perspective du patient et l’utilisation d’une approche culturelle. Mots clés: Culture, signification, idiome culturel, modèle explicatif, Guide pour Formulation culturelle du DSM-IV, indignation sociale, interaction entre patient et intervenant. ARTICLE 2 : RÉSUMÉ Impact de l’utilisation du Guide pour la formulation culturelle du DSM-IV sur la dynamique de conférences multidisciplinaires en santé mentale. La croissance du pluralisme culturel en Amérique du nord a obligé la communauté oeuvrant en santé mentale d’adopter une sensibilité culturelle accrue dans l’exercice de leur métier. Les professionnels en santé mentale doivent prendre conscience du contexte historique et social non seulement de leur clientèle mais également de leur propre profession. Les renseignements exigés pour les soins professionnels proviennent d’ évaluations cliniques. Il faut examiner ces informations dans un cadre culturellement sensible pour pouvoir formuler une évaluation des cas qui permet aux cliniciens de poser un diagnostic juste et précis, et ce, à travers les frontières culturelles du patient aussi bien que celles du professionnel en santé mentale. Cette situation a suscité le développement du Guide pour la formulation culturelle dans la 4ième édition du Manuel diagnostique et statistique des troubles mentaux américain (Diagnostic and Statistical Manual of Mental Disorders (4th ed., DSM-IV) de l’Association psychiatrique américaine. Ce guide est un outil pour aider les cliniciens à obtenir des informations de nature culturelle auprès du client et de sa famille afin de guider la production des soins en santé mentale. L’étude vise l’analyse conversationnelle de la conférence multidisciplinaire comme contexte d’utilisation du Guide pour la formulation culturelle qui sert de cadre dans lequel les pratiques discursives des professionnels de la santé mentale évoluent. Utilisant la perspective théorique de l’interactionnisme symbolique, l’étude examine comment les diverses disciplines de la santé mentale interprètent et conceptualisent les éléments culturels et les implications de ce cadre pour la collaboration interdisciplinaire dans l’évaluation, l’élaboration de plans de traitement et des soins. Mots clé: Guide pour Formulation culturelle – Santé mentale – Psychiatrie transculturelle – Analyse conversationnelle – Interactionnisme symbolique

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This paper discusses our research in developing a generalized and systematic method for anomaly detection. The key ideas are to represent normal program behaviour using system call frequencies and to incorporate probabilistic techniques for classification to detect anomalies and intrusions. Using experiments on the sendmail system call data, we demonstrate that concise and accurate classifiers can be constructed to detect anomalies. An overview of the approach that we have implemented is provided.

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The median (antimedian) set of a profile π = (u1, . . . , uk) of vertices of a graphG is the set of vertices x that minimize (maximize) the remoteness i d(x,ui ). Two algorithms for median graphs G of complexity O(nidim(G)) are designed, where n is the order and idim(G) the isometric dimension of G. The first algorithm computes median sets of profiles and will be in practice often faster than the other algorithm which in addition computes antimedian sets and remoteness functions and works in all partial cubes

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This paper highlights the prediction of learning disabilities (LD) in school-age children using rough set theory (RST) with an emphasis on application of data mining. In rough sets, data analysis start from a data table called an information system, which contains data about objects of interest, characterized in terms of attributes. These attributes consist of the properties of learning disabilities. By finding the relationship between these attributes, the redundant attributes can be eliminated and core attributes determined. Also, rule mining is performed in rough sets using the algorithm LEM1. The prediction of LD is accurately done by using Rosetta, the rough set tool kit for analysis of data. The result obtained from this study is compared with the output of a similar study conducted by us using Support Vector Machine (SVM) with Sequential Minimal Optimisation (SMO) algorithm. It is found that, using the concepts of reduct and global covering, we can easily predict the learning disabilities in children

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A profile is a finite sequence of vertices of a graph. The set of all vertices of the graph which minimises the sum of the distances to the vertices of the profile is the median of the profile. Any subset of the vertex set such that it is the median of some profile is called a median set. The number of median sets of a graph is defined to be the median number of the graph. In this paper, we identify the median sets of various classes of graphs such as Kp − e, Kp,q forP > 2, and wheel graph and so forth. The median numbers of these graphs and hypercubes are found out, and an upper bound for the median number of even cycles is established.We also express the median number of a product graph in terms of the median number of their factors.

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For a set S of vertices and the vertex v in a connected graph G, max x2S d(x, v) is called the S-eccentricity of v in G. The set of vertices with minimum S-eccentricity is called the S-center of G. Any set A of vertices of G such that A is an S-center for some set S of vertices of G is called a center set. We identify the center sets of certain classes of graphs namely, Block graphs, Km,n, Kn −e, wheel graphs, odd cycles and symmetric even graphs and enumerate them for many of these graph classes. We also introduce the concept of center number which is defined as the number of distinct center sets of a graph and determine the center number of some graph classes