Apoio à Administração, Business Intelligence. O caso Unipiaget

A memória realizada no âmbito do regulamento dos Cursos de Graduação da Universidade Jean Piaget de Cabo Verde, apresenta um estudo exaustivo sobre Sistemas de Apoio à Decisão e Businees Intelligence, mais concretamente, o estudo da sua arquitectura, os benefícios que trazem a uma organização, bem como a sua integração às estratégias empresariais, com vista ao alcance dos objectivos traçados. Ainda, apresenta um estudo de caso sobre a Unipiaget, cujas conclusões indicam que essa Universidade, ainda tem muito o que fazer para que haja uma real partilha de conhecimento extraído do seu Sistema Informação, que ao contrário de muitas empresas em Cabo Verde, é apoiada por Tecnologias de Informação e Comunicação bem actuais e capazes. A memória permitiu alcançar os objectivos preconizados no início da elaboração da mesma, sem que tenha havido sobressaltos, apesar da escassa bibliografia.

Carte de la mer Méditerranée pour servir à l'intelligence des événements politiques et des relations commerciales / A. M. Perrot géographe

Échelle(s) : [ca 1:8 533 000]

Hippocampal volume predicts fluid intelligence in musically trained people.

Recently, age-related hippocampal (HP) volume loss could be associated with a decrease in general fluid intelligence (gF). In the present study we investigated whether and how extensive musical training modulates human HP volume and gF performance. Previously, some studies demonstrated positive effects of musical training on higher cognitive functions such as learning and memory, associated with neural adaptations beyond the auditory domain. In order to detect possible associations between musical training and gF, we bilaterally segmented the HP formation and assessed the individual gF performance of people with different levels of musical expertise. Multiple regression analyses revealed that HP volume predicts gF in musicians but not in nonmusicians; in particular, bilaterally enhanced HP volume is associated with increased gF exclusively in musically trained people (amateurs and experts). This result suggests that musical training facilitates the recruitment of cognitive resources, which are essential for gF and linked to HP functioning. Musical training, even at a moderate level of intensity, can thus be considered as a potential strategy to decelerate age-related effects of cognitive decline. © 2013 Wiley Periodicals, Inc.

Business Intelligence Auxílio às organizações no processo da tomada de decisão

O presente trabalho destinada para o complemento de grau de licenciatura tem como objectivo principal analisar o auxílio de Business Intelligence (BI) às organizações na sua melhoria contínua no desempenho e qualidade de serviços, sobretudo no processo de tomada de decisão e estudo da sua existência na Cabo Verde Telecom. As tecnologias associadas a ele, nomeadamente, data warehouse, data mining e olap são primordiais para a tomada de decisão sobre as actividades estratégicas no mercado de negócios. Essas tecnologias permitem uma análise cuidada dos dados, transformando-os em informações pertinentes para a tomada de decisão nas empresas, garantindo com isto o seu crescimento no mercado.

Adaptacions dels peixos al seu ambient

Adaptació dels peixos de la Mediterrània al seu ambient

Numerical simulation of ambient seismic wavefield modification caused by pore-fluid effects in an oil reservoir

We have modeled numerically the seismic response of a poroelastic inclusion with properties applicable to an oil reservoir that interacts with an ambient wavefield. The model includes wave-induced fluid flow caused by pressure differences between mesoscopic-scale (i.e., in the order of centimeters to meters) heterogeneities. We used a viscoelastic approximation on the macroscopic scale to implement the attenuation and dispersion resulting from this mesoscopic-scale theory in numerical simulations of wave propagation on the kilometer scale. This upscaling method includes finite-element modeling of wave-induced fluid flow to determine effective seismic properties of the poroelastic media, such as attenuation of P- and S-waves. The fitted, equivalent, viscoelastic behavior is implemented in finite-difference wave propagation simulations. With this two-stage process, we model numerically the quasi-poroelastic wave-propagation on the kilometer scale and study the impact of fluid properties and fluid saturation on the modeled seismic amplitudes. In particular, we addressed the question of whether poroelastic effects within an oil reservoir may be a plausible explanation for low-frequency ambient wavefield modifications observed at oil fields in recent years. Our results indicate that ambient wavefield modification is expected to occur for oil reservoirs exhibiting high attenuation. Whether or not such modifications can be detected in surface recordings, however, will depend on acquisition design and noise mitigation processing as well as site-specific conditions, such as the geologic complexity of the subsurface, the nature of the ambient wavefield, and the amount of surface noise.

Advantages of using TEM when analysing asbestos in ambient air

Asbestos is an industrial term to describe some fibrous silicate minerals, which belong to the amphiboles or serpentines group. Six minerals are defined as asbestos including: chrysotile (white asbestos), amosite (grunerite, brown asbestos), crocidolite (riebeckite, blue asbestos), anthophyllite, tremolite and actonolite, but only in their fibrous form. In 1973, the IARC (International Agency for Research on Cancer) classified the asbestos minerals as carcinogenic substances (IARC,1973). The Swiss threshold limit (VME) is 0.01 fibre/ml (SUVA, 2007). Asbestos in Switzerland has been prohibited since 1990, but this doesn't mean we are over asbestos. Up to 20'000 tonnes/year of asbestos was imported between the end of WWII and 1990. Today, all this asbestos is still present in buildings renovated or built during that period of time. During restorations, asbestos fibres can be emitted into the air. The quantification of the emission has to be evaluated accurately. To define the exact risk on workers or on the population is quite hard, as many factors must be considered. The methods to detect asbestos in the air or in materials are still being discussed today. Even though the EPA 600 method (EPA, 1993) has proved itself for the analysis of bulk materials, the method for air analysis is more problematic. In Switzerland, the recommended method is VDI 3492 using a scanning electron microscopy (SEM), but we have encountered many identifications problems with this method. For instance, overloaded filters or long-term exposed filters cannot be analysed. This is why the Institute for Work and Health (IST) has adapted the ISO10312 method: ambient air - determination of asbestos fibres - direct-transfer transmission electron microscopy (TEM) method (ISO, 1995). Quality controls have already be done at a French institute (INRS), which validate our practical experiences. The direct-transfer from MEC's filters on TEM's supports (grids) is a delicate part of the preparation for analysis and requires a lot of trials in the laboratory. IST managed to do proper grid preparations after about two years of development. In addition to the preparation of samples, the micro-analysis (EDX), the micro-diffraction and the morphologic analysis (figure 1.a-c) are also to be mastered. Theses are the three elements, which prove the different features of asbestos identification. The SEM isn't able to associate those three analyses. The TEM is also able to make the difference between artificial and natural fibres that have very similar chemical compositions as well as differentiate types of asbestos. Finally the experiments concluded by IST show that TEM is the best method to quantify and identify asbestos in the air.

L'experiència pilot desenvolupada a partir del projecte d'innovació "La gestió integrada de la qualitat, el medi ambient i la seguretat en la docència experimental dels estudis de grau de les Facultats de Belles Arts"

Es presenta un projecte d'innovació docent, la recerca desevolupada del qual va incorporar aspectes relacionats amb la seguretat i la sostenibilitat dels procediments realitzats als tallers i laboratoris de les Facultats de Belles Arts, aplicant criteris de gestió de qualitat. Els resultats d'aquestes investigacions tenen una extensió social en l'àmbit de les Belles Arts en general. El projecte d'innovació docent va aplicar criteris de gestió de qualitat. La recerca desenvolupada va incorporar aspectes relacionats amb la seguretat i la sostenibilitat dels procediments als tallers i laboratoris de les Facultats de Belles Arts. Els resultats d¿aquestes investigacions tenen una extensió social en l'àmbit de les Belles Arts en general. Amb aquest projecte es va redissenyar un model de procediment normalitzat de treball (PNT) que 11 tallers diferents de les Facultats de BBAA de Barcelona, Conca i València van utilitzar per a elaborar 14 PNT i 3 vídeos de suport. Aquests es van aplicar durant una experiència pilot (curs 2009-2010). El nombre de participants en l¿experiència va ser de 211 alumnes, 15 professors, 10 tècnics de taller, majoritàriament de BBAA de la Universitat de Barcelona. L'experiència pilot va demostrar satisfactòriament la viabilitat de l'aplicació del model de PNT adoptat i els beneficis, de la seva aplicació, orientats a la millora continuada de la qualitat docent i de la investigació. Per concloure el projecte es va elaborar el procediment general (PG) que determina les pautes per a redactar un PNT. Aquest PG va ser aprovat recentment per la CSSMA del Centre2 i es podrà aplicar en el futur en la Facultat de BBAA de Barcelona. Sobre l'experiència s'han realitzat les publicacions pertinents (un llibre i un DVD) i s'ha participat també en dos congressos.

Forensic intelligence for medicine anti-counterfeiting

Medicine counterfeiting is a crime that has increased in recent years and now involves the whole world. Health and economic repercussions have led pharmaceutical industries and agencies to develop many measures to protect genuine medicines and differentiate them from counterfeits. Detecting counterfeit is chemically relatively simple for the specialists, but much more information can be gained from the analyses in a forensic intelligence perspective. Analytical data can feed criminal investigation and law enforcement by detecting and understanding the criminal phenomenon. Profiling seizures using chemical and packaging data constitutes a strong way to detect organised production and industrialised forms of criminality, and is the focus of this paper. Thirty-three seizures of a commonly counterfeited type of capsule have been studied. The results of the packaging and chemical analyses were gathered within an organised database. Strong linkage was found between the seizures at the different production steps, indicating the presence of a main counterfeit network dominating the market. The interpretation of the links with circumstantial data provided information about the production and the distribution of counterfeits coming from this network. This forensic intelligence perspective has the potential to be generalised to other types of products. This may be the only reliable approach to help the understanding of the organised crime phenomenon behind counterfeiting and to enable efficient strategic and operational decision making in an attempt to dismantle counterfeit network.

Ambient seismic noise monitoring of a clay landslide: Toward failure prediction

Given that clay-rich landslides may become mobilized, leading to rapid mass movements (earthflows and debris flows), they pose critical problems in risk management worldwide. The most widely proposed mechanism leading to such flow-like movements is the increase in water pore pressure in the sliding mass, generating partial or complete liquefaction. This solid-to-liquid transition results in a dramatic reduction of mechanical rigidity in the liquefied zones, which could be detected by monitoring shear wave velocity variations. With this purpose in mind, the ambient seismic noise correlation technique has been applied to measure the variation in the seismic surface wave velocity in the Pont Bourquin landslide (Swiss Alps). This small but active composite earthslide-earthflow was equipped with continuously recording seismic sensors during spring and summer 2010. An earthslide of a few thousand cubic meters was triggered in mid-August 2010, after a rainy period. This article shows that the seismic velocity of the sliding material, measured from daily noise correlograms, decreased continuously and rapidly for several days prior to the catastrophic event. From a spectral analysis of the velocity decrease, it was possible to determine the location of the change at the base of the sliding layer. These results demonstrate that ambient seismic noise can be used to detect rigidity variations before failure and could potentially be used to predict landslides.