939 resultados para Open Information Extraction


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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

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This study examines the practice of supply chain management problems and the perceived demand information distortion’s (the bullwhip effect) reduction with the interfirm information system, which is delivered as a cloud service to a company operating in the telecommunications industry. The purpose is to shed light in practice that do the interfirm information system have impact on the performance of the supply chain and in particularly the reduction of bullwhip effect. In addition, a holistic case study of the global telecommunications company's supply chain is presented and also the challenges it’s facing, and this study also proposes some measures to improve the situation. The theoretical part consists of the supply chain and its management, as well as increasing the efficiency and introducing the theories and related previous research. In addition, study presents performance metrics for the bullwhip effect detection and tracking. The theoretical part ends in presenting cloud -based business intelligence theoretical framework used in the background of this study. The research strategy is a qualitative case study, supported by quantitative data, which is collected from a telecommunication sector company's databases. Qualitative data were gathered mainly with two open interviews and the e-mail exchange during the development project. In addition, other materials from the company were collected during the project and the company's web site information was also used as the source. The data was collected to a specific case study database in order to increase reliability. The results show that the bullwhip effect can be reduced with the interfirm information system and with the use of CPFR and S&OP models and in particularly combining them to an integrated business planning. According to this study the interfirm information system does not, however, solve all of the supply chain and their effectiveness -related problems, because also the company’s processes and human activities have a major impact.

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Digital business ecosystems (DBE) are becoming an increasingly popular concept for modelling and building distributed systems in heterogeneous, decentralized and open environments. Information- and communication technology (ICT) enabled business solutions have created an opportunity for automated business relations and transactions. The deployment of ICT in business-to-business (B2B) integration seeks to improve competitiveness by establishing real-time information and offering better information visibility to business ecosystem actors. The products, components and raw material flows in supply chains are traditionally studied in logistics research. In this study, we expand the research to cover the processes parallel to the service and information flows as information logistics integration. In this thesis, we show how better integration and automation of information flows enhance the speed of processes and, thus, provide cost savings and other benefits for organizations. Investments in DBE are intended to add value through business automation and are key decisions in building up information logistics integration. Business solutions that build on automation are important sources of value in networks that promote and support business relations and transactions. Value is created through improved productivity and effectiveness when new, more efficient collaboration methods are discovered and integrated into DBE. Organizations, business networks and collaborations, even with competitors, form DBE in which information logistics integration has a significant role as a value driver. However, traditional economic and computing theories do not focus on digital business ecosystems as a separate form of organization, and they do not provide conceptual frameworks that can be used to explore digital business ecosystems as value drivers—combined internal management and external coordination mechanisms for information logistics integration are not the current practice of a company’s strategic process. In this thesis, we have developed and tested a framework to explore the digital business ecosystems developed and a coordination model for digital business ecosystem integration; moreover, we have analysed the value of information logistics integration. The research is based on a case study and on mixed methods, in which we use the Delphi method and Internetbased tools for idea generation and development. We conducted many interviews with key experts, which we recoded, transcribed and coded to find success factors. Qualitative analyses were based on a Monte Carlo simulation, which sought cost savings, and Real Option Valuation, which sought an optimal investment program for the ecosystem level. This study provides valuable knowledge regarding information logistics integration by utilizing a suitable business process information model for collaboration. An information model is based on the business process scenarios and on detailed transactions for the mapping and automation of product, service and information flows. The research results illustrate the current cap of understanding information logistics integration in a digital business ecosystem. Based on success factors, we were able to illustrate how specific coordination mechanisms related to network management and orchestration could be designed. We also pointed out the potential of information logistics integration in value creation. With the help of global standardization experts, we utilized the design of the core information model for B2B integration. We built this quantitative analysis by using the Monte Carlo-based simulation model and the Real Option Value model. This research covers relevant new research disciplines, such as information logistics integration and digital business ecosystems, in which the current literature needs to be improved. This research was executed by high-level experts and managers responsible for global business network B2B integration. However, the research was dominated by one industry domain, and therefore a more comprehensive exploration should be undertaken to cover a larger population of business sectors. Based on this research, the new quantitative survey could provide new possibilities to examine information logistics integration in digital business ecosystems. The value activities indicate that further studies should continue, especially with regard to the collaboration issues on integration, focusing on a user-centric approach. We should better understand how real-time information supports customer value creation by imbedding the information into the lifetime value of products and services. The aim of this research was to build competitive advantage through B2B integration to support a real-time economy. For practitioners, this research created several tools and concepts to improve value activities, information logistics integration design and management and orchestration models. Based on the results, the companies were able to better understand the formulation of the digital business ecosystem and the importance of joint efforts in collaboration. However, the challenge of incorporating this new knowledge into strategic processes in a multi-stakeholder environment remains. This challenge has been noted, and new projects have been established in pursuit of a real-time economy.

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The medial septum participates in the modulation of exploratory behavior triggered by novelty. Also, selective lesions of the cholinergic component of the septohippocampal system alter the habituation of rats to an elevated plus-maze without modifying anxiety indices. We investigated the effects of the intraseptal injection of the cholinergic immunotoxin 192 IgG-saporin (SAP) on the behavior of rats in an open-field. Thirty-nine male Wistar rats (weight: 194-230 g) were divided into three groups, non-injected controls and rats injected with either saline (0.5 µl) or SAP (237.5 ng/0.5 µl). Twelve days after surgery, the animals were placed in a square open-field (120 cm) and allowed to freely explore for 5 min. After the test, the rats were killed by decapitation and the septum, hippocampus and frontal cortex were removed and assayed for acetylcholinesterase activity. SAP increased acetylcholinesterase activity in the septum, hippocampus and frontal cortex and decreased the total distance run (9.15 ± 1.51 m) in comparison to controls (13.49 ± 0.91 m). The time spent in the center and at the periphery was not altered by SAP but the distance run was reduced during the first and second minutes (2.43 ± 0.36 and 1.75 ± 0.34 m) compared to controls (4.18 ± 0.26 and 3.14 ± 0.25 m). SAP-treated rats showed decreased but persistent exploration throughout the session. These results suggest that septohippocampal cholinergic mechanisms contribute to at least two critical processes, one related to the motivation to explore new environments and the other to the acquisition and storage of spatial information (i.e., spatial memory).

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The true spinach (Spinacia oleracea) does not grow well in warm climates and for that reason is not commercialized in Brazil. Instead, a spinach substitute (Tetragonia expansa), originally from New Zealand, is widely used in the country. There is scant information on the mineral profile and none on the soluble mineral fraction of this vegetable. The solubility of a mineral is one of the important factors for its absorption. For this reason, the calcium, magnesium, iron, manganese, copper, zinc, potassium, and sodium soluble fractions in the raw spinach substitute were determined and the effect of blanching times on the solubility of these minerals was investigated. Blanching times of 1, 5, and 15 minutes were employed. The magnesium, manganese, potassium, and sodium soluble fractions increased sizably with shorter blanching time. Longer blanching time (15 minutes) caused large losses of minerals. The soluble mineral fractions can contribute poorly to diet in terms of potassium, magnesium, manganese, and zinc. The spinach substitute cannot be considered a dietary source of calcium, iron and copper due to the insolubility of these minerals in the vegetable, possibly caused by the large oxalate content.

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This thesis discusses the unexplored opportunities of open innovation, with a special focus on outbound open innovation. The extant literature indicates that the field of outbound open innovation still lacks of research, and especially the managerial issues lack of practicality. Also, the applicability to SME’s and traditional fields has been argued. The purpose of this study is to investigate how the outbound open innovation activities can be managed in maritime industry. By combining existing literature from the field of open innovation and innovation management, this study suggests first a theoretical management model, and contributes how it can be applied to industry- and company specifics; and then develops a practical model by constructing from the case company’s current management processes. As a result, the study synthesises a theoretical model of how the outbound open innovation activities can be managed. This model positions the outbound open innovation activities, the theoretical concepts found from the literature review, R&D processes, and the outbound open innovation implementation stages identified by previous research; and thus responses the need for practical steps for any company planning outbound open innovation activities. Practical tool for managers is also provided by identifying issues that are applied to industry- and company specifics. Then, open-ended case study questions are formulated accordingly and expert interviews selected by chain referral sampling, are conducted. Interviews provide information for the current management processes. By identifying the best practices and main challenges it is possible to outline and evaluate current outbound open innovation management processes and strategic choices in it. The researcher considers also the networks and their spheres of influences for the actors, activities and resources in the processes. Thus, the study provides a novel approach, and practical tools for the researchers and practioners in the field of open innovation. All in all, the study has come up that outbound open innovation is applicable to maritime industry; and the case company indeed has perfected its processes as cost-effective as possible, and so found its balance between the costs and benefits. However, several issues for future development are pointed out, and the study offers proposals for theory building. Findings are piloting in kind, but provide several theoretical and managerial implications, and reveal new research needs for the field.

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Since the early 1970's, Canadians have expressed many concerns about the growth of government and its impact on their daily lives. The public has requested increased access to government documents and improved protection of the personal information which is held in government files and data banks. At the same time, both academics and practitioners in the field of public administration have become more interested in the values that public servants bring to their decisions and recommendations. Certain administrative values, such as accountability and integrity, have taken on greater relative importance. The purpose of this thesis is to examine the implementation of Ontario's access and privacy law. It centres on the question of whether or not the Freedom of Information and Protection of Privacy Act, 1987, (FIPPA) has answered the demand for open access to government while at the same time protecting the personal privacy of individual citizens. It also assesses the extent to which this relatively new piece of legislation has made a difference to the people of Ontario. The thesis presents an overview of the issues of freedom of information and protection of privacy in Ontario. It begins with the evolution of the legislation and a description of the law itself. It focuses on the structures and processes which have been established to meet the procedural and administrative demands of the Act. These structures and processes are evaluated in two ways. First, the thesis evaluates how open the Ontario government has become and, second, it determines how Ill carefully the privacy rights of individuals are safeguarded. An analytical framework of administrative values is used to evaluate the overall performance of the government in these two areas. The conclusion is drawn that, overall, the Ontario government has effectively implemented the Freedom of Information and Protection of Privacy Act, particularly by providing access to most government-held documents. The protection of individual privacy has proved to be not only more difficult to achieve, but more difficult to evaluate. However, the administrative culture of the Ontario bureaucracy is shown to be committed to ensuring that the access and privacy rights of citizens are respected.

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Questionnaires were sent to 703 Open College students. The questionnaire asked questions regarding personal demographics, how they felt about andragogy as postulated by Malcolm Knowles, and invited responses pertaining to the institutional practices of Open College. Two hundred and ninety-four responses were received. The information was synthesized and used descriptively. The information regarding andragogy was also used descriptively and analyzed using chi-square. The statistics were compared by gender. No significant difference was found. Students rejected the concept of self-directed learning. They did use their past experience when preparing assignments, however. They also entered Open College in order to learn how to do something better rather than for esoteric reasons. In fact, their whole orientation to learning was very practical in nature. The factors motivating these learners were internal rather than external. In addition, institutional practices were identified that could further enhance the Open College experience.

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Order parameter profiles extracted from the NMR spectra of model membranes are a valuable source of information about their structure and molecular motions. To al1alyze powder spectra the de-Pake-ing (numerical deconvolution) ~echnique can be used, but it assumes a random (spherical) dist.ribution of orientations in the sample. Multilamellar vesicles are known to deform and orient in the strong magnetic fields of NMR magnets, producing non-spherical orientation distributions. A recently developed technique for simultaneously extracting the anisotropies of the system as well as the orientation distributions is applied to the analysis of partially magnetically oriented 31p NMR spectra of phospholipids. A mixture of synthetic lipids, POPE and POPG, is analyzed to measure distortion of multilamellar vesicles in a magnetic field. In the analysis three models describing the shape of the distorted vesicles are examined. Ellipsoids of rotation with a semiaxis ratio of about 1.14 are found to provide a good approximation of the shape of the distorted vesicles. This is in reasonable agreement with published experimental work. All three models yield clearly non-spherical orientational distributions, as well as a precise measure of the anisotropy of the chemical shift. Noise in the experimental data prevented the analysis from concluding which of the three models is the best approximation. A discretization scheme for finding stability in the algorithm is outlined

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Digital Terrain Models (DTMs) are important in geology and geomorphology, since elevation data contains a lot of information pertaining to geomorphological processes that influence the topography. The first derivative of topography is attitude; the second is curvature. GIS tools were developed for derivation of strike, dip, curvature and curvature orientation from Digital Elevation Models (DEMs). A method for displaying both strike and dip simultaneously as colour-coded visualization (AVA) was implemented. A plug-in for calculating strike and dip via Least Squares Regression was created first using VB.NET. Further research produced a more computationally efficient solution, convolution filtering, which was implemented as Python scripts. These scripts were also used for calculation of curvature and curvature orientation. The application of these tools was demonstrated by performing morphometric studies on datasets from Earth and Mars. The tools show promise, however more work is needed to explore their full potential and possible uses.

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L’hexokinase (HK) est la première enzyme du métabolisme des hexoses et catalyse la réaction qui permet aux hexoses d’entrer dans le pool des hexoses phosphates et donc par le fait même la glycolyse. Bien que le glucose soit son principal substrat, cette enzyme peut aussi phosphoryler le mannose et le fructose. Malgré son importance dans le métabolisme primaire, l’HK n’a jamais été purifiée à homogénéité sous forme native. Le but de ce travail était donc de purifier une isoforme d’HK à partir de tubercule de Solanum tuberosum et par la suite de caractériser ses propriétés cinétiques. Bien avant que je commence mon travail, un groupe de recherche avait déjà séparé et partiellement purifié trois isoformes d’HK de S. tuberosum. Un protocole d’extraction était donc disponible, mais l’HK ainsi extraite était peu stable d’où le besoin d’y apporter certaines modifications. En y ajoutant certains inhibiteurs de protéases ainsi qu’en modifiant les concentrations de certains éléments, le tampon d’extraction ainsi modifié a permis d’obtenir un extrait dont l’activité HK était stable pendant au moins 72h après l’extraction, en empêchant la dégradation. À l’aide du tampon d’extraction optimisé et d’une chromatographie sur colonne de butyl sépharose, il a été possible de séparer 4 isoformes d’HKs. Par la suite, une isoforme d’HK (HK1) a été purifiée à l’homogénéité à l’aide de 5 étapes de chromatographie supplémentaires. En plus de caractériser les propriétés cinétiques de cette enzyme, l’analyse de séquençage par MS/MS a permis de l’associer au produit du gène StHK1 de Solanum tuberosum. Avec une activité spécifique de 10.2 U/mg de protéine, il s’agit de l’HK purifiée avec l’activité spécifique la plus élevée jamais rapportée d’un tissu végétal.L’ensemble des informations recueillies lors de la purification de HK1 a ensuite été utilisée pour commencer la purification d’une deuxième isoforme (HK3). Ce travail a permis de donner des lignes directrices pour la purification de cette isoforme et certains résultats préliminaires sur sa caractérisation enzymatique.

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L’apprentissage supervisé de réseaux hiérarchiques à grande échelle connaît présentement un succès fulgurant. Malgré cette effervescence, l’apprentissage non-supervisé représente toujours, selon plusieurs chercheurs, un élément clé de l’Intelligence Artificielle, où les agents doivent apprendre à partir d’un nombre potentiellement limité de données. Cette thèse s’inscrit dans cette pensée et aborde divers sujets de recherche liés au problème d’estimation de densité par l’entremise des machines de Boltzmann (BM), modèles graphiques probabilistes au coeur de l’apprentissage profond. Nos contributions touchent les domaines de l’échantillonnage, l’estimation de fonctions de partition, l’optimisation ainsi que l’apprentissage de représentations invariantes. Cette thèse débute par l’exposition d’un nouvel algorithme d'échantillonnage adaptatif, qui ajuste (de fa ̧con automatique) la température des chaînes de Markov sous simulation, afin de maintenir une vitesse de convergence élevée tout au long de l’apprentissage. Lorsqu’utilisé dans le contexte de l’apprentissage par maximum de vraisemblance stochastique (SML), notre algorithme engendre une robustesse accrue face à la sélection du taux d’apprentissage, ainsi qu’une meilleure vitesse de convergence. Nos résultats sont présent ́es dans le domaine des BMs, mais la méthode est générale et applicable à l’apprentissage de tout modèle probabiliste exploitant l’échantillonnage par chaînes de Markov. Tandis que le gradient du maximum de vraisemblance peut-être approximé par échantillonnage, l’évaluation de la log-vraisemblance nécessite un estimé de la fonction de partition. Contrairement aux approches traditionnelles qui considèrent un modèle donné comme une boîte noire, nous proposons plutôt d’exploiter la dynamique de l’apprentissage en estimant les changements successifs de log-partition encourus à chaque mise à jour des paramètres. Le problème d’estimation est reformulé comme un problème d’inférence similaire au filtre de Kalman, mais sur un graphe bi-dimensionnel, où les dimensions correspondent aux axes du temps et au paramètre de température. Sur le thème de l’optimisation, nous présentons également un algorithme permettant d’appliquer, de manière efficace, le gradient naturel à des machines de Boltzmann comportant des milliers d’unités. Jusqu’à présent, son adoption était limitée par son haut coût computationel ainsi que sa demande en mémoire. Notre algorithme, Metric-Free Natural Gradient (MFNG), permet d’éviter le calcul explicite de la matrice d’information de Fisher (et son inverse) en exploitant un solveur linéaire combiné à un produit matrice-vecteur efficace. L’algorithme est prometteur: en terme du nombre d’évaluations de fonctions, MFNG converge plus rapidement que SML. Son implémentation demeure malheureusement inefficace en temps de calcul. Ces travaux explorent également les mécanismes sous-jacents à l’apprentissage de représentations invariantes. À cette fin, nous utilisons la famille de machines de Boltzmann restreintes “spike & slab” (ssRBM), que nous modifions afin de pouvoir modéliser des distributions binaires et parcimonieuses. Les variables latentes binaires de la ssRBM peuvent être rendues invariantes à un sous-espace vectoriel, en associant à chacune d’elles, un vecteur de variables latentes continues (dénommées “slabs”). Ceci se traduit par une invariance accrue au niveau de la représentation et un meilleur taux de classification lorsque peu de données étiquetées sont disponibles. Nous terminons cette thèse sur un sujet ambitieux: l’apprentissage de représentations pouvant séparer les facteurs de variations présents dans le signal d’entrée. Nous proposons une solution à base de ssRBM bilinéaire (avec deux groupes de facteurs latents) et formulons le problème comme l’un de “pooling” dans des sous-espaces vectoriels complémentaires.

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This article assesses the responses of EU-15 member states to the poverty reduction objectives of the Open Method of Coordination (OMC) on social inclusion between 2001 and 2006. As a flexible mechanism of information sharing between governments, the OMC could not produce strong convergence. A thorough analysis of the OMC documents indeed points to the enduring power of national institutions and partisan politics, for the three dimensions of social inclusion identified by the EU (rights, labour market policies, and participation). There was however some learning and adaptation around emerging policy ideas like activation and the participation of people experiencing poverty.