930 resultados para internal control Integrated Framework
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A auditoria interna é um recurso cuja função básica é o apoio à gestão e a toda a organização, com crescente responsabilidade social, através de uma condução sistemática e disciplinada para avaliar e melhorar a eficácia dos processos de gestão de risco, controlo e governance. As pequenas e médias empresas, são determinantes na economia do país e a certificação da qualidade permite-lhes estabelecerem vantagens competitivas no mercado globalizado. A certificação da qualidade permite às empresas estabelecerem vantagens competitivas, necessitando de recursos adaptáveis, flexíveis, pro-activos, antecipativos, e competências adequadas. A auditoria interna é um requisito básico das normas da qualidade ISO1 com objectivo de supervisão do sistema da qualidade, que por si só é um sistema de controlo interno. Compete aos auditores internos avaliar o sistema de controlo interno com base no modelo do Internal control-Integrated Framework. O COSO2 conclui que especialmente as PME’s são as que mais necessitam de orientação no momento de avaliar e melhorar o seu sistema de controlo interno. Assim, constata-se um crescimento exponencial da auditoria interna, pelo significativo aumento de PME’s certificadas, confirmado pela análise comparativa entre as 1500 maiores PME e as empresas certificadas, em Portugal.
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Mestrado em Auditoria
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Na conjuntura atual o tema da mitigação do risco está presente na maioria das organizações, bem como na Sociedade atual. Para tal, é necessário que as organizações adotem o controlo interno mais adequado e mais ajustado para mitigar esses riscos. O Órgão de Gestão de qualquer entidade económica (pública ou privada) tem a responsabilidade de assegurar um sistema eficaz de controlo interno que permita garantir a gestão da Organização de uma forma eficaz e eficiente, de acordo com as normas legais em que essa organização se enquadra e fomente os valores éticos. Existem algumas frameworks que ajudam as organizações na conceção e manutenção do SCI, contudo a que marcou profundamente o desenvolvimento e a relevância do controlo interno foi o ICIF – internal control integrated Framework do COSO. Procura-se no presente trabalho de projeto, proporcionar uma reflexão sobre o crescente papel do controlo interno no seio das organizações, nomeadamente ilustrando esse papel através da implementação de um sistema de controlo interno numa organização em pleno crescimento. Este trabalho baseou-se no estudo de um caso através da análise da realidade do Grupo Derovo, identificando e caracterizando a empresa e a sua atividade, bem, como os procedimentos de controlo interno adotados. Procedeu-se no âmbito deste trabalho à apresentação de uma proposta de implementação de um manual de controlo interno, com base na metodologia da framework Coso, tendo sido efetuado o levantamento dos controlos aos processos, quer formais ou informais, existentes nas áreas chave do negócio, de forma a permitir clarificar os procedimentos de controlo, atualizá-los, otimizando assim todo sistema de controlo interno, permitindo desta forma a condução mais eficiente e eficaz do negócio, através da identificação dos riscos associados a cada processo e formas de mitigação do risco e a clara identificação da responsabilidade, autoridade e suporte documental de controlo dos processos de cada área objeto de estudo.
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The aim of this Master’s Thesis is to find applicable methods from process management literature for improving reporting and internal control in a multinational corporation. The method of analysis is qualitative and the research is conducted as a case study. Empirical data collection is carried out through interviews and participating observation. The theoretical framework is built around reporting and guidance between parent company and subsidiary, searching for means to improve them from process thinking and applicable frameworks. In the thesis, the process of intercompany reporting in the case company is modelled, and its weak points, risks, and development targets are identified. The framework of critical success factors in process improvement is utilized in assessing the development targets. Also internal control is analyzed with the tools of process thinking. As a result of this thesis, suggestions for actions improving the reporting process and internal control are made to the case company, the most essential of which are ensuring top management’s awareness and commitment to improvement, creating guidelines and tools for internal control and creating and implementing improved intercompany reporting process.
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The aim of this Master’s thesis is to find out how should internal control be structured in a Finnish retail company in order to fulfil the requirements set out in the Finnish Corporate Governance Code and to be value adding for the company as well as to analyse the added value that a structured and centrally led internal control can provide for the case company. The underlying fundamental theoretical framework of the study essentially stems from the theory of the firm; the agent-principal problem is the primary motivator for internal control. Regulatory requirements determine the thresholds that the internal control of a company must reach. The research was carried out as a case study and methodically the study is qualitative and the empirical data gathering was conducted by interviews and by participant observation. The data gathered (processes, controls etc.) is used to understand the control environment of the company and to assess the current state of internal control. Deficiencies and other points of development identified are then discussed.
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With the recent explosion in the complexity and amount of digital multimedia data, there has been a huge impact on the operations of various organizations in distinct areas, such as government services, education, medical care, business, entertainment, etc. To satisfy the growing demand of multimedia data management systems, an integrated framework called DIMUSE is proposed and deployed for distributed multimedia applications to offer a full scope of multimedia related tools and provide appealing experiences for the users. This research mainly focuses on video database modeling and retrieval by addressing a set of core challenges. First, a comprehensive multimedia database modeling mechanism called Hierarchical Markov Model Mediator (HMMM) is proposed to model high dimensional media data including video objects, low-level visual/audio features, as well as historical access patterns and frequencies. The associated retrieval and ranking algorithms are designed to support not only the general queries, but also the complicated temporal event pattern queries. Second, system training and learning methodologies are incorporated such that user interests are mined efficiently to improve the retrieval performance. Third, video clustering techniques are proposed to continuously increase the searching speed and accuracy by architecting a more efficient multimedia database structure. A distributed video management and retrieval system is designed and implemented to demonstrate the overall performance. The proposed approach is further customized for a mobile-based video retrieval system to solve the perception subjectivity issue by considering individual user's profile. Moreover, to deal with security and privacy issues and concerns in distributed multimedia applications, DIMUSE also incorporates a practical framework called SMARXO, which supports multilevel multimedia security control. SMARXO efficiently combines role-based access control (RBAC), XML and object-relational database management system (ORDBMS) to achieve the target of proficient security control. A distributed multimedia management system named DMMManager (Distributed MultiMedia Manager) is developed with the proposed framework DEMUR; to support multimedia capturing, analysis, retrieval, authoring and presentation in one single framework.
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Part 5: Service Orientation in Collaborative Networks
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Resource specialisation, although a fundamental component of ecological theory, is employed in disparate ways. Most definitions derive from simple counts of resource species. We build on recent advances in ecophylogenetics and null model analysis to propose a concept of specialisation that comprises affinities among resources as well as their co-occurrence with consumers. In the distance-based specialisation index (DSI), specialisation is measured as relatedness (phylogenetic or otherwise) of resources, scaled by the null expectation of random use of locally available resources. Thus, specialists use significantly clustered sets of resources, whereas generalists use over-dispersed resources. Intermediate species are classed as indiscriminate consumers. The effectiveness of this approach was assessed with differentially restricted null models, applied to a data set of 168 herbivorous insect species and their hosts. Incorporation of plant relatedness and relative abundance greatly improved specialisation measures compared to taxon counts or simpler null models, which overestimate the fraction of specialists, a problem compounded by insufficient sampling effort. This framework disambiguates the concept of specialisation with an explicit measure applicable to any mode of affinity among resource classes, and is also linked to ecological and evolutionary processes. This will enable a more rigorous deployment of ecological specialisation in empirical and theoretical studies.
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Background: Restriction fragment length polymorphism (RFLP) is a common molecular assay used for genotyping, and it requires validated quality control procedures to prevent mistyping caused by impaired endonuclease activity. We have evaluated the usefulness of a plasmid-based internal control in RFLP assays. Results: Blood samples were collected from 102 individuals with acute myocardial infarction (AMI) and 108 non-AMI individuals (controls) for DNA extraction and laboratory analyses. The 1196C> T polymorphism in the toll-like receptor 4 (TLR4) gene was amplified by mismatched-polymerase chain reaction (PCR). Amplicons and pBluescript II SK-plasmid were simultaneously digested with endonuclease HincII. Fragments were separated on 2% agarose gels. Plasmid was completely digested using up to 55.2 nmL/L DNA solutions and 1 mu L PCR product. Nevertheless, plasmid DNA with 41.4 nM or higher concentrations was incompletely digested in the presence of 7 mL PCR product. In standardized conditions, TLR4 1196C> T variant was accurately genotyped. TLR4 1196T allele frequency was similar between AMI (3.1%) and controls (2.0%, p = 0.948). TLR4 SNP was not associated with AMI in this sample population. In conclusion, the plasmid-based control is a useful approach to prevent mistyping in RFLP assays, and it is validate for genetic association studies such as TLR4 1196C> T.
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Neonatal calf diarrhea is a multi-etiology syndrome of cattle and direct detection of the two major agents of the syndrome, group A rotavirus and Bovine coronavirus (BCoV) is hampered by their fastidious growth in cell culture. This study aimed at developing a multiplex semi-nested RT-PCR for simultaneous detection of BCoV (N gene) and group A rotavirus (VP1 gene) with the addition of an internal control (mRNA ND5). The assay was tested in 75 bovine feces samples tested previously for rotavirus using PAGE and for BCoV using nested RT-PCR targeted to RdRp gene. Agreement with reference tests was optimal for BCoV (kappa = 0.833) and substantial for rotavirus detection (kappa = 0.648). the internal control, ND5 mRNA, was detected successfully in all reactions. Results demonstrated that this multiplex semi-nested RT-PCR was effective in the detection of BCoV and rotavirus, with high sensitivity and specificity for simultaneous detection of both viruses at a lower cost, providing an important tool for studies on the etiology of diarrhea in cattle. (C) 2010 Elsevier B.V. All rights reserved.
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This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good practice in statistics' by establishing a comprehensive framework for modelling that focuses on exploration, prediction, interpretation and reliability assessment, a relatively new idea that allows individual assessment of predictions. The integrated framework we present comprises two stages. The first involves the use of exploratory methods to help visually understand the data and identify a parsimonious set of explanatory variables. The second encompasses a two step modelling process, where the use of non-parametric methods such as decision trees and generalized additive models are promoted to identify important variables and their modelling relationship with the response before a final predictive model is considered. We focus on fitting the predictive model using parametric, non-parametric and Bayesian approaches. This paper is motivated by a medical problem where interest focuses on developing a risk stratification system for morbidity of 1,710 cardiac patients given a suite of demographic, clinical and preoperative variables. Although the methods we use are applied specifically to this case study, these methods can be applied across any field, irrespective of the type of response.
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Audit report on Internal Control over Financial Reporting of the State University of Iowa as of and for the year ended June 30, 2011
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Independent auditor’s report of the State of Iowa on internal control over financial reporting and on compliance and other matters based on an audit of financial statements performed in accordance with government auditing standards for the year ended June 30, 2011
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Audit report on internal control over financial reporting and on compliance and other matters of the State of Iowa for the year ended June 30, 2012
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Reproductive traits play a key role in pig production in order to reduce costs and increase economic returns. Among others, gene expression analyses represent a useful approach to study genetic mechanisms underlying reproductive traits in pigs. The application of reverse-transcription quantitative PCR requires the selection of appropriate reference genes, whose expression levels should not be affected by the experimental conditions, especially when comparing gene expression across different physiological stages.