32 resultados para Stock portfolio
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This work studies the integrated lot sizing and cutting stock problem, where the goal is to capture the dependency that exists between two important decisions in the production process, in order to economize raw materials and also reduce production and inventory costs. The integrated lot sizing and cutting stock problem is studied in a small furniture factory that produces wardrobes, dressing tables and cupboards and the lot sizing and cutting stock decisions are taken by the production manager. A column-generation technique is used to solve a linear relaxation of the proposed model. The computational results, using real data from the factory, show that it is possible to reduce total inventory and raw material costs when integrated planning is used. © 2013 IFAC.
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Objective: This study investigated the susceptibility of 198 clinical isolates of Candida species against caspofungin, amphotericin B, itraconazole, and fluconazole. Study Design: Suspensions of the microorganisms were spread on Roswell Park Memorial Institute (RPMI) agar plates. Etest strips were placed on the plates, and the minimal inhibitory concentration (MIC) was read after incubation (48 h at 37°C). Data were analyzed by a factorial analysis of variance and a 2 × 2 post hoc test (α = .05). Results: C glabrata showed the highest MIC values (P < .001) against caspofungin, itraconazole, and fluconazole. For amphotericin B, the MIC values of C tropicalis and C glabrata (P = .0521) were higher than those of C albicans (P < .001). Itraconazole was the least effective antifungal; 93.3% of the C glabrata isolates, 3.3% of the C albicans, and 1.3% of the C tropicalis were resistant. All microorganisms were susceptible to caspofungin and amphotericin B. Conclusions: Caspofungin and amphotericin B should be recommended as an effective alternative for the management of oral Candida infections when treatment with topical or other systemic drugs has definitely failed. © 2013 Elsevier Inc. All rights reserved.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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São apresentados resultados de análises petrográficas e do comportamento tecnológico de quatro variedades de granitos ornamentais do stock Serra do Barriga, localizado a NNW do estado do Ceará. Os tipos investigados são comercialmente conhecidos por Rosa Iracema, Rosa Olinda, Branco Savana e Branco Cristal Quartzo e correspondem a variedades de sienogranitos e monzogranitos, isotrópicos, inequigranulares de granulação média a grossa, com coloração que variam entre rosa e branco. Os resultados dos ensaios tecnológicos, com parâmetros físico-mecânicos bastante similares entre as quatro rochas, situam os granitos analisados como detentores de boas propriedades tecnológicas, indicados para utilização como pisos, bancadas, revestimentos de fachadas horizontais e verticais em ambientes de interiores e de exteriores. Correlações entre os resultados físico-mecânicos e características petrográficas das rochas mostram a influência dos aspectos mineralógicos, texturais e estruturais no comportamento de determinadas propriedades tecnológicas exibidas pelos referidos granitos ornamentais. Dentre os parâmetros petrográficos de maior influência verificados destacam-se a granulação grossa das rochas, teores de quartzo, grau de microfissuramento e alterações minerais, os quais controlam, em maior ou menor proporção, a porosidade aparente e consequente absorção d’água, resistência mecânica (compressão uniaxial; esforços flexores; impacto), desgaste abrasivo Amsler, dilatação térmica e propagação de ondas ultrassônicas exibidas pelos granitos.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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With the aim of analyzing the information search behavior of investors working in the stock market, this research sought to raise the aspects related to this behavior with focus on the cognitive and causal aspects which pervade the need for information of these investors. For that, the general pattern of informational behavior proposed by Wilson [10], and also the analysis of a report from an investor of the stock market area were used as basis for the analysis and reflection. The report of only one investor was used as basis for investigation, turning it impossible to extrapolate such result to a greater universe. The objective of this research was to investigate the need for information, the context and the intervenient variables which might interfere or not in the information search behavior of investors, in an attempt to get a deeper comprehension about the subject, as well as to propose the continuity of studies with basis on this study proposal.
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The strategic management of information plays a fundamental role in the organizational management process since the decision-making process depend on the need for survival in a highly competitive market. Companies are constantly concerned about information transparency and good practices of corporate governance (CG) which, in turn, directs relations between the controlling power of the company and investors. In this context, this article presents the relationship between the disclosing of information of joint-stock companies by means of using XBRL, the open data model adopted by the Brazilian government, a model that boosted the publication of Information Access Law (Lei de Acesso à Informação), nº 12,527 of 18 November 2011. Information access should be permeated by a mediation policy in order to subsidize the knowledge construction and decision-making of investors. The XBRL is the main model for the publishing of financial information. The use of XBRL by means of new semantic standard created for Linked Data, strengthens the information dissemination, as well as creates analysis mechanisms and cross-referencing of data with different open databases available on the Internet, providing added value to the data/information accessed by civil society.
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With the increase of stakeholders and consequently increase of amount of nancial transaction the study of news investment strategies in the stock market with data mining techniques has been the target of important researches. It allows that great historical data base to be processed and analysed looking for pattern that can be used to take a decision in investments. With the idea of getting pro t more than the real indexs' gain, we propose a strategy method of transactions using rules built by algorithm classi cation. For that, diary historical data of Ibovespa index and Petrobras stocks are organized and processed to nding the most important attribute that act decisively when taking a investment decision.To test the accuracy of proposed rules, a non real portfolio management is created, showing the decisions' performance over the real index and stocks' performance. Following the proposed rules, the results show that the strategy of investment give me back a high return that Stock market's return. The exclusive characteristics of algorithms maximize the gain inside the analysed time allowing to determine the techniques' return and the number of the days necessary to double the initial investment. The best classi er applied on the time series and its use on the propose investments strategy will demand 104 days to double the initial capital
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)