FINANCIAL AND ACCOUNTING INFORMATION SYSTEMS INTEROPERABILITY

The current economic developments have led to substantial changes in terms of how thefinancial and accounting activities are carried. The business environment can be characterized by awidespread consolidation of companies and their grouping in holding companies. Thus, the focus ison consolidation the financial data, and the integration and interoperability of the financial andaccounting applications and also the integrated information systems have a major significance. Withthe development of the Internet, the architecture of the informatics applications has really beenaffected, this resulted in substantial changes in how the solutions are distributed and accessed aswell. The present paper analyses and provides viable solutions for the use of the technologieswhich are applied in the interoperability of the financial and accounting information systems, in thecontext of economic activity globalization. The dynamism and economic processes development in thenew context have generated important researches in the informatics field which had resulted insimplifying the access way to applications (by simply using a Web browser) and also developing theinterconnecting technologies for the financial and accounting information systems – theirinteroperability represents, in fact, the Keyword.On this economic scenery, the financial and accounting information systems become very importantsolutions to integrate different business applications and also to offer a complete perspective for allthe business.SOA (Service Oriented Architecture), Informational Integrated Systems, XML (eXtended MarkupLanguage), Visual Studio .NET, Web Services

«E-SCIENTROCHAIR»- ONLINE DATABASE FOR MANAGEMENT AND ASSESSMENT OF THE RESEARCH RESOURCES OF THE UNIVERSITY BASIS UNIT – THE CHAIR

The concept named e-ScientRoChair proposes searching for new informing and documentation opportunities, on fundamental structure in academic scientific research, meaning the chair or the research team, anabling the possibility to publish and as well as toOnline Database, Chair, Scientific Exchange, Scientific Research Components

RHEOLOGY OF CHICKPEA PROTEIN CONCENTRATE DISPERSIONS

Chickpea proteins are used as ingredients in comminuted sausage products and many oriental textured foods. Rheological behaviour of chickpea protein concentrate was studied using a controlled stress rheometer. The protein dispersion prepared with phosphate buffer at pH 7.0 presented non-Newtonian shear thinning behaviour and rheological data well fitted to the Sisko, Carreau and Cross models. The viscoelastic properties of the chickpea protein suspensions were estimated by measuring the storage and loss moduli in oscillatory frequency conditions (0.1-10 Hz) at 20°C. Moreover, thermally induced gelation of the chickpea proteins (16, 24 and 36%) was studied at pH 7.0 and 4.5 in the temperature range 50 to 100oC and salt concentration ranging from 0 to 1 M. Gelling behaviour was quantified by means of dynamic rheological measurements. Gels formation was preceded by the decrease of storage modulus and loss moduli, coupled with the increase of the phase angle (delta). The beginning of thermal gelation was influenced by protein concentration, pH and salt level. In all studied cases, storage modulus increased rapidly in the temperature range 70-90°C. All rheological parameters measured at 90°C were significantly higher at pH 4.5 compared to pH 7.0

THE ROMANIAN RESPONSE TO THE FINANCIAL CRISIS

The importance of financial linkages among countries in the crisis spread, is currently a highly debated topic. Small shocks caused by the collapse of the financial system of a country can easily turn into a crisis, of dimensions that can be hardly imagined. There are several channels which could play an important role in transmitting the initial shock. Focusing exclusively on rational explanations, the financial crisis in one country could provide negative information about other countries with similar characteristics.financial crisis, monetary policy, real economy

An Investigation Regarding the Disclosure of Corporate Social Responsibility Information for Listed Companies from Romania

The purpose of this research was to establish the degree of transparency concerning the communication of the information regarding the corporate social responsibility by the Romanian companies listed. The study used as a sample the listed companies in the first part of the Bucharest Stock Exchange. Considering the fact that in Romania there is no mandatory reporting of such information, we examined the extent to which public companies in Romania have, voluntarily, on their sites, such disclosures. As a research framework we used the model proposed by Dahlsrud (2008). According to this model, CSR-type information can be classified into five dimensions: the environmental dimension, social dimension, economic dimension, the „stakeholders” dimension and voluntary dimension. After conducting site investigation we made a classification of their degree of transparency (dependent variable). For this variable we tested the association with the type of ownership and activity (independent variables).Corporate Social Responsibility, CSR dimensions, transparency of CSR, analyses of Romanian companies sites concerning CSR

Effect of the addition of wheat bran stream on dough rheology and bread quality

The milling by-products have high nutritional value and can be incorporated into white flour. This study was aimed at comparatively examining the rheological behaviour of the doughs made from wheat white flour with different levels (3-30%) of bran streams incorporated and from wholewheat. The results indicated significant correlations between the ash content of the wheat bran streams incorporated into flour and Alveograph, Rheofermentograph and Mixolab parameters. The white flour sample with 25% wheat bran streams had the ash content similar to wholewheat, but the dough rheology was improved. The quality of the white flour bread with 25% wheat bran streams was improved compared to the wholemeal bread

Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans

CT scanners that are commonly-used in hospitals nowadays produce low-resolution images, up to 512 pixels in size. One pixel in the image corresponds to a one millimeter piece of tissue. In order to accurately segment tumors and make treatment plans, doctors need CT scans of higher resolution. The same problem appears in MRI. In this paper, we propose an approach for the single-image super-resolution of 3D CT or MRI scans. Our method is based on deep convolutional neural networks (CNNs) composed of 10 convolutional layers and an intermediate upscaling layer that is placed after the first 6 convolutional layers. Our first CNN, which increases the resolution on two axes (width and height), is followed by a second CNN, which increases the resolution on the third axis (depth). Different from other methods, we compute the loss with respect to the ground-truth high-resolution output right after the upscaling layer, in addition to computing the loss after the last convolutional layer. The intermediate loss forces our network to produce a better output, closer to the ground-truth. A widely-used approach to obtain sharp results is to add Gaussian blur using a fixed standard deviation. In order to avoid overfitting to a fixed standard deviation, we apply Gaussian smoothing with various standard deviations, unlike other approaches. We evaluate our method in the context of 2D and 3D super-resolution of CT and MRI scans from two databases, comparing it to relevant related works from the literature and baselines based on various interpolation schemes, using 2x and 4x scaling factors. The empirical results show that our approach attains superior results to all other methods. Moreover, our human annotation study reveals that both doctors and regular annotators chose our method in favor of Lanczos interpolation in 97.55% cases for 2x upscaling factor and in 96.69% cases for 4x upscaling factor.Comment: Accepted in IEEE Acces