Citizens and the future of multilateralism in a polycentric world at 2030: the perspectives of emerging countries for the trading system: the impasse of WTO, the trends of mega agreements, the logic of value chains and the advent of consumers concerns on international trade

A new paradigm is modeling the World: evolutionary innovations in all fronts, new information technologies, huge mobility of capital, use of risky financial tools, globalization of production, new emerging powers and the impact of consumer concerns on governmental policies. These phenomena are shaping the World and forcing the advent of a new World Order in the Multilateral Monetary, Financial, and Trading System. The effects of this new paradigm are also transforming global governance. The political and economic orders established after the World War and centered on the multilateral model of UN, IMF, World Bank, and the GATT, leaded by the developed countries, are facing significant challenges. The rise of China and emerging countries shifted the old model to a polycentric World, where the governance of these organizations are threatened by emerging countries demanding a bigger participation in the role and decision boards of these international bodies. As a consequence, multilateralism is being confronted by polycentrism. Negotiations for a more representative voting process and the pressure for new rules to cope with the new demands are paralyzing important decisions. This scenario is affecting seriously not only the Monetary and Financial Systems but also the Multilateral Trading System. International trade is facing some significant challenges: a serious deadlock to conclude the last round of the multilateral negotiation at the WTO, the fragmentation of trade rules by the multiplication of preferential and mega agreements, the arrival of a new model of global production and trade leaded by global value chains that is threatening the old trade order, and the imposition of new sets of regulations by private bodies commanded by transnationals to support global value chains and non-governmental organizations to reflect the concerns of consumers in the North based on their precautionary attitude about sustainability of products made in the World. The lack of any multilateral order in this new regulation is creating a big cacophony of rules and developing a new regulatory war of the Global North against the Global South. The objective of this paper is to explore how these challenges are affecting the Tradinge System and how it can evolve to manage these new trends.

Turnout and quorum in referenda

We analyse the effect of turnout requirement in referenda in the context of a group turnout model. We show that a participation quorum requirement may reduce the turnout so severely that it generates a "quorum paradox": in equilibrium, the expected turnout exceds the participation quorum only if this requirement is not imposed. Moreover, a participation quorum does not necessarily imply a bias for the status quo. We also show that in order to induce a given expected turnout, the quorum should be set at a level that is lower than half tha target, and the effect of a participation quorum on welfare is ambiguous. On the one hand, the quorum decreases voters' welfare by misrepresenting the will of the majority. On the other hand, it might also reduce the total cost of voting. Finally, we show that an approval quorum is essentially equivalent to a participation quorum.

Política pública para o idoso : um estudo da cidadania no grupo cabelos de neve do programa conviver em Campina Grande-PB

The main objective of the study about the citizenship development in elderly attended by the Conviver Program of the City Hall of Campina Grande in Paraiba, Brazil was to evaluate how the actions of the Program contribute for the citizenship practice according to the users. The Citizenship analyzed is the existence of political, civil and social rights according to Marshall. For that it was utilized a descriptive research and a study of case based on technical procedure. The research was settled by the people who are benefited by the Conviver Program of the Snow Hair Group and the sample was formed by the active participants that it is in the Group for over ten years, corresponding to a total of ten elderly. For the data collection was utilized basic questionnaire in function of the low schooling of the interviewed, according to Marshall (2002) theory about the citizenship construction from each person. It was utilized the methodological procedure proposed by Bardin (2006), categorical analysis, in the qualitative data analysis, that was divided in four parts. In relation to Political Rights, noted that the program has stimulated your Watched on the exercise of voting and being voted. On the Civil Rights was observed that the Program has given incentive to actions which provide the users the justice rights in and in occupational activities as a job. In relation to Social Rights it was observed that the Conviver Program has contributed in order that its users can lead their lives according to the standards imposed by the society, which have being failed in the education area. As for the type of citizenship it was verified that the Program has given incentive to the served users, becoming more evidence on the speech basis

Eleições, pesquisas e estratégias de marketing: a campanha eleitoral de Micarla de Sousa em Natal (2008)

From the importance that the political science and the social sciences began to give the electoral programs on TV, were examined in that work academic the effects of research in electoral marketing strategies in Gratuitous Timetable of the Electoral Publicity of the marketing year the candidate Micarla de Sousa (PV) in 2008 for the prefecture of Natal. To analyze the marketing strategies of electoral candidate Micarla de Sousa were used three sources of data: the HGPE on the first part, The interview with the coordinator's marketing campaign of Micarla de Sousa, José Ivan and the quantitative research carried out by the Office IBOPE before and during the period of HGPE. In the analysis of electoral programs, was used the qualitative and quantitative approach, taking as objective to verify whether there was some change in marketing strategy in the candidate Micarla HGPE. So the electoral programs that candidate were transcribed and analyzed and then faced with the results of researches electoral IBOPE carried out in the same period. The interview with the coordinator's marketing campaign the candidate Micarla de Sousa brought relevant information on the construction of public image at the time pre-electoral and electoral. In search of IBOPE, socioeconomic variables were regarded assex, age, education and income. With the collection of this data, there was an intersection of information about the voting intentions of Micarla candidate for mayor of Natal and it was checked how his candidacy has increased or decreased within the surveyed segments and how these oscillations marketing strategies directed at the candidate's HGPE for any specific audience. Also, do not forget that the electoral process is influenced by various factors, because this process is dynamic

Rejeição e voto em eleição contemporânea: um estudo de caso da eleição à prefeitura do município de Natal/RN (2012)

Given the importance that political science and social sciences give studies of voting behavior, this study sought to fill this academic discussion another important element that makes up this complex set. From the campaign trail to City Christmas in 2012 work has been undertaken analysis of rejection in the first and second rounds of this election. For this analysis we used two sources of data: quantitative research, conducted by Search Consult the first and second rounds of elections, and the use of focus group technique, performed in the second round of elections. Knowing the various factors that may affect the voting decision, but also the dynamism that pervades a political dispute, seek, with this work, contribute to the deepening of the rejection of studies, aiming to bring subsidies presenting information to better explain the behavior studies election. The results showed that there is a less expressive, the chamda strong rejection. We speak of that rejection based on a political, historical and ideological. The reason for the weak presence of strong rejection seems to be little involvement of voters with politics and, consequently, low knowledge about politics and politicians. We observe, however, evidence of rejection volatile. We refer here to a kind of rejection that develops during the election process depending on the preference of the voter and according to the circumstances of the campaign. The data also lead us to conclude that television is as an instrument for the dissemination of ideas that can contribute in shaping the opinion of viewers. The role of political parties in representing the interests of the people have lost their strength in recent years. The data also show that, to the extent that increases the preference of voters in the electoral process, also increases its rejection

A moralidade e a vida pregressa do candidato como condição autônoma de elegibilidade

The objective of this work was about fixing the free will paradigm as negative evaluation of political rights which presents a new classification dde such rights, producing species: a) conditions of eligibility autonomous (free will), b) eligibility requirements heteronomous (will third party) and c) ineligibility (court decisions / administrative). This morality and life history as a condition of eligibility unattended, making a hermeneutic analysis of art. 14, § 9 of the Constitution, considering the justification of the views of the voting Minister Carlos Ayres Brito Appeal in Ordinary No 1069/2006 of the Supreme Electoral Tribunal (where Eurico Miranda). Are fixed concepts of morality and life history from the perspective of the moral act freely and consciously. Has resulted in the identification of the moral virtues of honesty and integrity, which are voluntary acts as a reference to morality and integrity respectively. Justifies the morality and life history as a condition of eligibility unattended. who depend exclusively on the willingness of the candidate. It is noteworthy that the conditions for eligibility as a factual finding does not violate the law and does not allow punitive sanctions or setting a deadline in case of refusal to register the application. Attributed to political parties to take responsibility in their statutes moral criteria for the nomination convention in pre candidates, giving an ethical dimension. Analyzes the law under the Clean Record of morality and life history of the candidate and the possible impact on the electoral context.

Aplicação de técnicas de aprendizado de máquina no reconhecimento de classes estruturais de proteínas

Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated

Uma Análise de métodos de distriubuição de atributos em comitês de classificadores

The objective of the researches in artificial intelligence is to qualify the computer to execute functions that are performed by humans using knowledge and reasoning. This work was developed in the area of machine learning, that it s the study branch of artificial intelligence, being related to the project and development of algorithms and techniques capable to allow the computational learning. The objective of this work is analyzing a feature selection method for ensemble systems. The proposed method is inserted into the filter approach of feature selection method, it s using the variance and Spearman correlation to rank the feature and using the reward and punishment strategies to measure the feature importance for the identification of the classes. For each ensemble, several different configuration were used, which varied from hybrid (homogeneous) to non-hybrid (heterogeneous) structures of ensemble. They were submitted to five combining methods (voting, sum, sum weight, multiLayer Perceptron and naïve Bayes) which were applied in six distinct database (real and artificial). The classifiers applied during the experiments were k- nearest neighbor, multiLayer Perceptron, naïve Bayes and decision tree. Finally, the performance of ensemble was analyzed comparatively, using none feature selection method, using a filter approach (original) feature selection method and the proposed method. To do this comparison, a statistical test was applied, which demonstrate that there was a significant improvement in the precision of the ensembles

Comitês de grupamento aplicados a dados de expressão gênica

The main goal of this work is to investigate the suitability of applying cluster ensemble techniques (ensembles or committees) to gene expression data. More specifically, we will develop experiments with three diferent cluster ensembles methods, which have been used in many works in literature: coassociation matrix, relabeling and voting, and ensembles based on graph partitioning. The inputs for these methods will be the partitions generated by three clustering algorithms, representing diferent paradigms: kmeans, ExpectationMaximization (EM), and hierarchical method with average linkage. These algorithms have been widely applied to gene expression data. In general, the results obtained with our experiments indicate that the cluster ensemble methods present a better performance when compared to the individual techniques. This happens mainly for the heterogeneous ensembles, that is, ensembles built with base partitions generated with diferent clustering algorithms

A moralidade e a vida pregressa do candidato como condição autônoma de elegibilidade

The objective of this work was about fixing the free will paradigm as negative evaluation of political rights which presents a new classification dde such rights, producing species: a) conditions of eligibility autonomous (free will), b) eligibility requirements heteronomous (will third party) and c) ineligibility (court decisions / administrative). This morality and life history as a condition of eligibility unattended, making a hermeneutic analysis of art. 14, § 9 of the Constitution, considering the justification of the views of the voting Minister Carlos Ayres Brito Appeal in Ordinary No 1069/2006 of the Supreme Electoral Tribunal (where Eurico Miranda). Are fixed concepts of morality and life history from the perspective of the moral act freely and consciously. Has resulted in the identification of the moral virtues of honesty and integrity, which are voluntary acts as a reference to morality and integrity respectively. Justifies the morality and life history as a condition of eligibility unattended. who depend exclusively on the willingness of the candidate. It is noteworthy that the conditions for eligibility as a factual finding does not violate the law and does not allow punitive sanctions or setting a deadline in case of refusal to register the application. Attributed to political parties to take responsibility in their statutes moral criteria for the nomination convention in pre candidates, giving an ethical dimension. Analyzes the law under the Clean Record of morality and life history of the candidate and the possible impact on the electoral context

Shape-based features for cat ganglion retinal cells classification

This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward's hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.

Limitations of trust management schemes in VANET and countermeasures

Vehicular networks ensure that the information received from any vehicle is promptly and correctly propagated to nearby vehicles, to prevent accidents. A crucial point is how to trust the information transmitted, when the neighboring vehicles are rapidly changing and moving in and out of range. Current trust management schemes for vehicular networks establish trust by voting on the decision received by several nodes, which might not be required for practical scenarios. It might just be enough to check the validity of incoming information. Due to the ephemeral nature of vehicular networks, reputation schemes for mobile ad hoc networks (MANETs) cannot be applied to vehicular ad hoc networks (VANET). We point out several limitations of trust management schemes for VANET. In particular, we identify the problem of information cascading and oversampling, which commonly arise in social networks. Oversampling is a situation in which a node observing two or more nodes, takes into consideration both their opinions equally without knowing that they might have influenced each other in decision making. We show that simple voting for decision making, leads to oversampling and gives incorrect results. We propose an algorithm to overcome this problem in VANET. This is the first paper which discusses the concept of cascading effect and oversampling effects to ad hoc networks. © 2011 IEEE.

On data-centric misbehavior detection in VANETs

Detecting misbehavior (such as transmissions of false information) in vehicular ad hoc networks (VANETs) is a very important problem with wide range of implications, including safety related and congestion avoidance applications. We discuss several limitations of existing misbehavior detection schemes (MDS) designed for VANETs. Most MDS are concerned with detection of malicious nodes. In most situations, vehicles would send wrong information because of selfish reasons of their owners, e.g. for gaining access to a particular lane. It is therefore more important to detect false information than to identify misbehaving nodes. We introduce the concept of data-centric misbehavior detection and propose algorithms which detect false alert messages and misbehaving nodes by observing their actions after sending out the alert messages. With the data-centric MDS, each node can decide whether an information received is correct or false. The decision is based on the consistency of recent messages and new alerts with reported and estimated vehicle positions. No voting or majority decisions is needed, making our MDS resilient to Sybil attacks. After misbehavior is detected, we do not revoke all the secret credentials of misbehaving nodes, as done in most schemes. Instead, we impose fines on misbehaving nodes (administered by the certification authority), discouraging them to act selfishly. This reduces the computation and communication costs involved in revoking all the secret credentials of misbehaving nodes. © 2011 IEEE.

A social network approach to trust management in VANETs

In the past few years, vehicular ad hoc networks(VANETs) was studied extensively by researchers. VANETs is a type of P2P network, though it has some distinct characters (fast moving, short lived connection etc.). In this paper, we present several limitations of current trust management schemes in VANETs and propose ways to counter them. We first review several trust management techniques in VANETs and argue that the ephemeral nature of VANETs render them useless in practical situations. We identify that the problem of information cascading and oversampling, which commonly arise in social networks, also adversely affects trust management schemes in VANETs. To the best of our knowledge, we are the first to introduce information cascading and oversampling to VANETs. We show that simple voting for decision making leads to oversampling and gives incorrect results in VANETs. To overcome this problem, we propose a novel voting scheme. In our scheme, each vehicle has different voting weight according to its distance from the event. The vehicle which is more closer to the event possesses higher weight. Simulations show that our proposed algorithm performs better than simple voting, increasing the correctness of voting. © 2012 Springer Science + Business Media, LLC.

Deputados estaduais e democracia: Valores políticos das elites parlamentares paulista e paranaense

After 20 years of reestablished democracy in Brazil, what do the state legislators think about the regime? The goal of the article is to show the views of state legislators of the Legislative Assemblies of the States of São Paulo and Paraná on democracy. For the views we use a structured and self-administered questionnaire. The results show that for the state legislators: i) democracy is stable, ii) it is superior to any other kind of regime, iii) it's support comes from some public policy and the use of voting and iv) parties and elections are important for democracy.