4 resultados para Transferencia Temporal de Valores (TTV)
em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal
Resumo:
This paper analyzes the level of disclosure of Intangible Assets, Business Combinations and Goodwill in the consolidated financial statements and its explanatory factors. We have analyzed the annual reports of companies listed on Euronext Lisbon for the year 2010 and have created a Disclosure Index which allows to measure the level of disclosure for each company in this area, based on the existing accounting standards. In order to identify the association between the level of disclosure and its determinants, we have tested several hypotheses which explain the degree of disclosure. The results evidences, company’s size, industry, leverage and audit firms belonging to Big 4as explanatory factors. Only the size presentsa positive association with disclosure index, confirming the hypothesis which establishes that the level of disclosure about Intangible Assets, Business Combinations and Goodwill is greater in larger companies. The remaining explanatory variables presenta negative association with disclosure level.
Resumo:
É possível encontrar nos mercados de valores mobiliários e/ou outros instrumentos financeiros e/ou nas chamadas bolsas de valores - éticas concretas, reais e definidas? Pensamos que sim. Os fundos éticos são apenas uma das espécies de fundos. Abstract: You can find in the securities markets and / or other financial instruments and / or in so-called exchanges - concrete ethical, real and defined? We think so. Ethical funds are only one species of funds.
Resumo:
Lições de Direito dos Valores Mobiliários, Mestrado em Auditoria, Escola Superior de Gestão do Instituto Politécnico do Cávado e do Ave, Ano Lectivo de 2014/2015 § Lessons Securities Law, Master in Audit, School of Management of the Polytechnic Institute of Cávado and Ave, Academic Year 2014/2015
Resumo:
Given the dynamic nature of cardiac function, correct temporal alignment of pre-operative models and intraoperative images is crucial for augmented reality in cardiac image-guided interventions. As such, the current study focuses on the development of an image-based strategy for temporal alignment of multimodal cardiac imaging sequences, such as cine Magnetic Resonance Imaging (MRI) or 3D Ultrasound (US). First, we derive a robust, modality-independent signal from the image sequences, estimated by computing the normalized crosscorrelation between each frame in the temporal sequence and the end-diastolic frame. This signal is a resembler for the left-ventricle (LV) volume curve over time, whose variation indicates di erent temporal landmarks of the cardiac cycle. We then perform the temporal alignment of these surrogate signals derived from MRI and US sequences of the same patient through Dynamic Time Warping (DTW), allowing to synchronize both sequences. The proposed framework was evaluated in 98 patients, which have undergone both 3D+t MRI and US scans. The end-systolic frame could be accurately estimated as the minimum of the image-derived surrogate signal, presenting a relative error of 1:6 1:9% and 4:0 4:2% for the MRI and US sequences, respectively, thus supporting its association with key temporal instants of the cardiac cycle. The use of DTW reduces the desynchronization of the cardiac events in MRI and US sequences, allowing to temporally align multimodal cardiac imaging sequences. Overall, a generic, fast and accurate method for temporal synchronization of MRI and US sequences of the same patient was introduced. This approach could be straightforwardly used for the correct temporal alignment of pre-operative MRI information and intra-operative US images.