Concepções alternativas dos Alunos de Ensino Médio sobre ácidos e bases

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Experimentation at Industrial Setting to Improve the Effectiveness of the ETL Procedures Implementation in a Business Intelligence Environment

Business Intelligence (BI) relies on Data Warehouse (DW), a historical data repository designed to support the decision making process. Without an effective Data Warehouse, organizations cannot extract the data required for information analysis in time to enable more effective strategic, tactical, and operational insights. This paper presents an approach and a Rapid Application Development (RAD) tool to increase efficiency and effectiveness of ETL (Extract, Transform and Load) programs development. An experimental evaluation of the approach is carried out in a controlled experiment that carefully evaluated the efficiency and effectiveness of the tool in an industrial setting. The results indicate that our approach can indeed be used as method aimed at improving ETL process development

Staining of the Internal Limiting Membrane with the Use of Heavy Brilliant Blue G

Background: Brilliant blue G (BBG) is frequently used in chromovitrectomy to facilitate internal limiting membrane (ILM) peeling. A study was initiated to evaluate if heavy BBG is safe and effective in staining the ILM. Methods: We studied 30 eyes, 23 with idiopathic macular holes and 7 of patients with diabetic macular edema. Removal of the ILMs was assisted by heavy BBG staining. In cases with histopathological correlation the ILMs were evaluated with hematoxylin and eosin, Masson's trichrome, periodic acid-Schiff and glial fibrillary acidic protein staining. In addition, immunohistochemistry was also performed using specific antibodies for vimentin, neuron-specific enolase, factor VIII and CD68. Using the Image-Pro Plus software of Media Cybernetics Co. we found an average thickness in ILMs. Results: Of the ILM specimens sent, 19/30(63.33%) could not be processed properly because of the limited sample material, recognizing only fragments of dispersed fibrillar material. In macular hole ILMs we found an average thickness of 1.3 +/- 0.65 mu m, and in diabetic macular edema ILMs an average thickness of 6.2 +/- 1.4 mu m. Conclusions: In heavy BBG-assisted ILM peeling we observed no intraoperative or postoperative complications after a mean follow-up of 12 months. Heavy BBG could be an effective and safe vehicle for staining the ILM. Copyright (C) 2012 S. Karger AG, Base

Not all abscesses in small ruminants are caused by Corynebacterium pseudotuberculosis

O presente estudo objetivou determinar a prevalência e distribuição de lesões abscedativas, identificação do agente etiológico e avaliação das lesões histológicas em caprinos e ovinos abatidos em um matadouro-frigorífico com Serviço de Inspeção Federal do estado da Bahia. Foram coletadas 153 amostras de vísceras e linfonodos com abscessos de 1.148 animais abatidos. A maior prevalência na espécie ovina foi em macho, com faixa etária de 12 meses, sendo os principais órgãos acometidos fígado (21,2%) e linfonodo pré-escapular (20,3%). Na espécie caprina, a prevalência maior foi em macho, com faixa etária de 30 meses, sendo os linfonodos retro faríngeo (25%) e pré-escapular os mais acometidos (25%). Isolou-se os seguintes micro-organismos das amostras: Corynebacterium pseudotuberculosis em 33,33%, Escherichia coli (19,61%), Proteus mirabilis (9,80%), Pseudomonas aeruginosa (7,19%), Trueperella pyogenes (5,22%), Streptococcusspp. (5,22%) e Staphylococcus aureus (4,57%). As lesões macroscópicas e histológicas dos abscessos coletados não apresentaram diferenças entre micro-organismos isolados.The study aimed to determine the prevalence and distribution of abscessed lesions, etiologic agent identification and assessment of histological lesions in sheep and goats slaughtered in a slaughter plant refrigerator with Federal Inspection Service in the State of Bahia. The amount of 153 samples of viscera and lymph nodes with abscesses of 1.148 slaughtered animals were collected. The highest prevalence in sheep was in males, aged 12 months, as in liver (21.2%) and prescapular lymph nodes (20.3%) the main affected organs. The prevalence in goats in male, aged 30 months and in retropharyngeal (25%) and prescapular lymph nodes (25%). The following microorganisms were isolated from the samples: Corynebacterium pseudotuberculosis 33.33%, Escherichia coli 19.61%, Proteus mirabilis 9.80%, Pseudomonas aeruginosa 7.19%, Trueperella pyogenes 5.22%, Streptococcus spp. 5.22% and Staphylococcus aureus 4.57%. The macroscopic and histological lesions of abscesses collected presented no difference between isolated microorganisms

Comparing Text Mining Algorithms for Predicting Irregularities in Public Accounts

Information systems that support public sector daily activities generate large data sets. As a large proportion of the data in these data sets are text, Text Mining can play an important role in deriving potentially useful and previously unknown information. The overall goal of this paper is evaluate the performance and quality of three text mining classification algorithms applied to detect irregularities in public sector records. To evaluate the algorithms, a tool was designed and a case study was carried out at the Court of Accounts of Sergipe. Performance and Quality metrics were evaluated: mean execution time, accuracy, precision, coverage and F-measure. The results show that the multinomial naive bayes algorithm using inverse document frequency was the best approach to find evidences of travel reimbursement irregularities