Fractional State Space Analysis of Economy Systems

This paper examines modern economic growth according to the multidimensional scaling (MDS) method and state space portrait (SSP) analysis. Electing GDP per capita as the main indicator for economic growth and prosperity, the long-run perspective from 1870 to 2010 identifies the main similarities among 34 world partners’ modern economic growth and exemplifies the historical waving mechanics of the largest world economy, the USA. MDS reveals two main clusters among the European countries and their old offshore territories, and SSP identifies the Great Depression as a mild challenge to the American global performance, when compared to the Second World War and the 2008 crisis.

An Exact Schedulability Test for Global FP Using State Space Pruning

Presented at 23rd International Conference on Real-Time Networks and Systems (RTNS 2015). 4 to 6, Nov, 2015, Main Track. Lille, France.

Quinoxaline, its derivatives and applications: a state of the art review

Quinoxaline derivatives are an important class of heterocycle compounds, where N replaces some carbon atoms in the ring of naphthalene. Its molecular formula is C8H6N2, formed by the fusion of two aromatic rings, benzene and pyrazine. It is rare in natural state, but their synthesis is easy to perform. In this review the State of the Art will be presented, which includes a summary of the progress made over the past years in the knowledge of the structure and mechanism of the quinoxaline and quinoxaline derivatives, associated medical and biomedical value as well as industrial value. Modifying quinoxaline structure it is possible to obtain a wide variety of biomedical applications, namely antimicrobial activities and chronic and metabolic diseases treatment.

Fractional State Space Analysis of Temperature Time Series

Atmospheric temperatures characterize Earth as a slow dynamics spatiotemporal system, revealing long-memory and complex behavior. Temperature time series of 54 worldwide geographic locations are considered as representative of the Earth weather dynamics. These data are then interpreted as the time evolution of a set of state space variables describing a complex system. The data are analyzed by means of multidimensional scaling (MDS), and the fractional state space portrait (fSSP). A centennial perspective covering the period from 1910 to 2012 allows MDS to identify similarities among different Earth’s locations. The multivariate mutual information is proposed to determine the “optimal” order of the time derivative for the fSSP representation. The fSSP emerges as a valuable alternative for visualizing system dynamics.

Performance of state space and ARIMA models for consumer retail sales forecasting

Forecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.

Os diferentes tipos de resultados nas cooperativas numa perspetiva jurídica e contabilística

As cooperativas assumem um papel fundamental na economia social portuguesa, o que justifica a necessidade de um conhecimento mais aprofundado destas entidades tanto a nível jurídico como a nível contabilístico. O principal objetivo deste estudo consiste em identificar os vários tipos de resultados nas cooperativas, compreender e caraterizar o tratamento jurídico e contabilístico dos mesmos e aferir se o normativo contabilístico em vigor permite evidenciar as especificidades daqueles. Assim, utilizando uma metodologia qualitativa, com recurso à análise de conteúdo, realizou-se um estudo de caso múltiplo. Antes, porém, procedeu-se à revisão de literatura, seletiva e seminal, sobre o estado da arte dos resultados das cooperativas em Portugal. Foram identificados três tipos de resultados, os resultados cooperativos, os resultados extracooperativos e os resultados extraordinários. O estudo mostra que o tratamento jurídico e contabilístico dos resultados cooperativos não está devidamente adequado à realidade das mesmas, por duas razões: em primeiro lugar, não são claramente identificáveis na legislação em vigor os diferentes tipos de resultados; e, em segundo lugar, constata-se que os resultados nas cooperativas têm o mesmo tratamento contabilístico que os resultados das sociedades comerciais, apesar das diferenças substanciais entre as duas formas jurídicas. Concluiu-se, então que a alteração do enquadramento contabilístico aplicável às cooperativas é pertinente e necessária no sentido de impor uma contabilização separada dos resultados cooperativos e dos resultados extracooperativos e extraordinários. Esta contabilização separada é essencial, por razões fiscais mas sobretudo para que as demonstrações financeiras apresentem a imagem verdadeira e apropriada do desempenho das cooperativas. Conclui-se, de igual modo, que existe no ordenamento português um normativo contabilístico aplicável às entidades do setor não lucrativo que seria adequado para evidenciar as especificidades das cooperativas em matéria dos resultados, dado que o modelo das demonstrações dele constante permitiria o desdobramento dos resultados por atividades.