Criminal Records Summary of Activity by Circuit/County For Period 7/1/2013 Thru 6/30/2014

This gives the criminal records summary of activity by circuit/county for period 7/1/2013 thru 6/30/2014.

Criminal Records Summary of Activity by Circuit/County For Period 7/1/2014 Thru 8/31/2014

This gives the criminal records summary of activity by circuit/county for period 7/1/2014 thru 8/31/2014.

Criminal records summary of activity by circuit/county for period 7/1/2014 Thru 2/28/2015

This gives the criminal records summary of activity by circuit/county.

Disfuncionalidades do sistema jurídico criminal do Brasil em face do direito fundamental à segurança

Tese de doutoramento, Direito (Ciências Jurídico-Políticas), Universidade de Lisboa, Faculdade de Direito, 2014

Role of Automated Open Source Systems in the Intelligence Analysis of a High-Level Domain Expert

The role of implicit theories in the formation of expert opinion in portuguese criminal law

Tese de doutoramento, Ciências e Tecnologias da Saúde (Medicina Legal e Ciências Forenses), Universidade de Lisboa, Faculdade de Medicina, 2014

EU Criminal Law and Enlargement

Since creation of the European Communities the number of Member States has gradually increased from the original six to current twenty-eight. Enlargement has become an EU’s flagship external policy, demonstrating the EU’s ability to shape its neighbourhood and to serve as a catalyst of deep and multilayered reforms. The consecutive seven enlargement rounds went in parallel with widespread internal developments, culminating with the creation of the European Union and, most recently, entry into force of the Treaty of Lisbon. As this volume demonstrates, EU criminal law has evolved considerably from its early days under the legal framework laid down by the Treaty of Maastricht to its current post-Lisbon shape. On 1 December 2014, that is with expiry of a five year transitional regime for the jurisdiction of the Court of Justice, Police and Judicial Co-operation in Criminal Matters became a fully fledged EU policy, governed largely by the same modus operandi as other areas of EU competence and with compulsory jurisdiction of the Court of Justice. As EU criminal law developed internally, so did its external dimension, including the role it plays in the enlargement policy. In case of the latter the expiry of the same transitional period has brought to an end a rather anomalous situation whereby the European Union had more enforcement tools before and after accession vis-à-vis its future/new Member States than it could employ against the old ones. This bifurcation, quite rightly, triggered a lot of discussions about double standards used by the European Union in its pre-accession policy. This is exacerbated by the fact that some of those standards are neither defined in EU law, nor pursued vis-à-vis the existing EU’s Member States. The aim of this chapter is to demonstrate that evolution with particular emphasis on the role of EU Criminal Law in the policy currently employed by the European Union vis-à-vis candidate and potential candidate countries of the Western Balkans and to Turkey. Arguably, together with political conditionality, it has become one of the pillars of the enlargement process and, as the examples of accession negotiations with Montenegro and Serbia prove, its role is likely to increase as rapprochement of other candidates and potential candidates progresses to the next stages.

Brief response to Ashton and colleagues regarding Fractionating Human Intelligence

Ashton and colleagues concede in their response (Ashton, Lee, & Visser, in this issue), that neuroimaging methods provide a relatively unambiguous measure of the levels to which cognitive tasks co-recruit dif- ferent functional brain networks (task mixing). It is also evident from their response that they now accept that task mixing differs from the blended models of the classic literature. However, they still have not grasped how the neuroimaging data can help to constrain models of the neural basis of higher order ‘g’. Specifically, they claim that our analyses are invalid as we assume that functional networks have uncorrelated capacities. They use the simple analogy of a set of exercises that recruit multiple muscle groups to varying extents and highlight the fact that individual differences in strength may correlate across muscle groups. Contrary to their claim, we did not assume in the original article (Hampshire, High- field, Parkin, & Owen, 2012) that functional networks had uncorrelated capacities; instead, the analyses were specifically designed to estimate the scale of those correlations, which we referred to as spatially ‘diffuse’ factors

Fractionating Human Intelligence

What makes one person more intellectually able than another? Can the entire distribution of human intelligence be accounted for by just one general factor? Is intelligence supported by a single neural system? Here, we provide a perspective on human intelligence that takes into account how general abilities or ‘‘factors’’ reflect the functional organiza- tion of the brain. By comparing factor models of individual differences in performance with factor models of brain functional organization, we demon- strate that different components of intelligence have their analogs in distinct brain networks. Using simulations based on neuroimaging data, we show that the higher-order factor ‘‘g’’ is accounted for by cognitive tasks corecruiting multiple networks. Finally, we confirm the independence of these com- ponents of intelligence by dissociating them using questionnaire variables. We propose that intelli- gence is an emergent property of anatomically distinct cognitive systems, each of which has its own capacity.

A long-term risk management tool for electricity markets using swarm intelligence

This paper addresses the optimal involvement in derivatives electricity markets of a power producer to hedge against the pool price volatility. To achieve this aim, a swarm intelligence meta-heuristic optimization technique for long-term risk management tool is proposed. This tool investigates the long-term opportunities for risk hedging available for electric power producers through the use of contracts with physical (spot and forward contracts) and financial (options contracts) settlement. The producer risk preference is formulated as a utility function (U) expressing the trade-off between the expectation and the variance of the return. Variance of return and the expectation are based on a forecasted scenario interval determined by a long-term price range forecasting model. This model also makes use of particle swarm optimization (PSO) to find the best parameters allow to achieve better forecasting results. On the other hand, the price estimation depends on load forecasting. This work also presents a regressive long-term load forecast model that make use of PSO to find the best parameters as well as in price estimation. The PSO technique performance has been evaluated by comparison with a Genetic Algorithm (GA) based approach. A case study is presented and the results are discussed taking into account the real price and load historical data from mainland Spanish electricity market demonstrating the effectiveness of the methodology handling this type of problems. Finally, conclusions are dully drawn.

Collective intelligence on dynamic manufacturing scheduling optimization

Swarm Intelligence (SI) is a growing research field of Artificial Intelligence (AI). SI is the general term for several computational techniques which use ideas and get inspiration from the social behaviours of insects and of other animals. This paper presents hybridization and combination of different AI approaches, like Bio-Inspired Techniques (BIT), Multi-Agent systems (MAS) and Machine Learning Techniques (ML T). The resulting system is applied to the problem of jobs scheduling to machines on dynamic manufacturing environments.

A study on the authentication method for TAmI in ambient intelligence (secure group decision making toolkit)

It is difficult to get the decision about an opinion after many users get the meeting in same place. It used to spend too much time in order to find solve some problem because of the various opinions of each other. TAmI (Group Decision Making Toolkit) is the System to Group Decision in Ambient Intelligence [1]. This program was composed with IGATA [2], WebMeeting and the related Database system. But, because it is sent without any encryption in IP / Password, it can be opened to attacker. They can use the IP / Password to the bad purpose. As the result, although they make the wrong result, the joined member can’t know them. Therefore, in this paper, we studied the applying method of user’s authentication into TAmI.