Une approche strategique du vote : à propos de « vote par appobation, vote par note »

Ce texte a pour ambition de revenir sur une procédure d'expérimentation destinée à tester l'impact du vote par approbation ainsi que du vote par note sur l'ampleur de ce qu'on a coutume d'appeler le vote utile. Les résultats de ces expériences, menées lors des élections présidentielles françaises de 2007 et de 2012, ont fait l'objet de deux articles publiés dans la Revue économique. Notre objectif est ici d'attirer l'attention du lecteur sur la conception implicite qui sous-tend ces expériences : le vote comme outil de dévoilement des préférences individuelles. Une telle orientation se fait au détriment d'une conception stratégique du vote, c'est-à-dire le vote comme processus de coordination. Or, il nous semble que le propre du vote utile est précisément de s'inscrire dans une dimension stratégique du vote, dimension que la procédure expérimentale mise en place tend à gommer en ne fournissant pas aux votants de repères informationnels relatifs aux choix des autres votants. On parlera à cet effet d'isolation informationnelle. This text has the ambition to return to an experimental procedure designed to test the impact of approval voting as well as evaluating voting on the scope of what is called in French vote utile (strategic voting). The results of these experiences, held during the 2007 and 2012 French presidential elections, have been the object of two papers published in the Revue économique. Our aim is to catch the attention of readers on the implicit conception inherent to these experiences: voting as a means to reveal individual preferences. Such a direction is taken at the cost of a strategic conception of voting, i.e. voting as a coordination process. Yet, it seems to us that the main characteristic of strategic voting is precisely to be strategic. The design of the experimental procedure tends to erase this dimension, by depriving the voters of information on other voter's choices. This is what we call informational isolation.

A tale of two logits, compositional data analysis and zero observations

The application of compositional data analysis through log ratio trans-formations corresponds to a multinomial logit model for the shares themselves.This model is characterized by the property of Independence of Irrelevant Alter-natives (IIA). IIA states that the odds ratio in this case the ratio of shares is invariant to the addition or deletion of outcomes to the problem. It is exactlythis invariance of the ratio that underlies the commonly used zero replacementprocedure in compositional data analysis. In this paper we investigate using thenested logit model that does not embody IIA and an associated zero replacementprocedure and compare its performance with that of the more usual approach ofusing the multinomial logit model. Our comparisons exploit a data set that com-bines voting data by electoral division with corresponding census data for eachdivision for the 2001 Federal election in Australia

What explains electoral turnout in Swiss municipalities?

What explains the higher electoral turnout in some of the Swiss municipalities? Since there are important differences as far as size, socio-economic structure, importance, political systems and the prevailing political culture are concerned, the Swiss municipalities offer a laboratory-like field of research. Using aggregate level data from our own surveys and from official sources covering the whole country this paper investigates the determinants of voting turnout at the local level. It comes to the following conclusion: The level of electoral turnout in Swiss municipalities depends to an important extent on institutional variables. If the executive is elected in a citizens' assembly there are considerably fewer people participating than in elections at the polls. PR also has a positive effect on turnout, whereas it cannot be shown that having a local parliament leads to higher turnout (and thus to increased interest in politics). Another important variable is the size of a municipality. In smaller municipalities turnout is consistently higher than in bigger ones. As for the importance of Catholicism for turnout, our study confirms the findings of Freitag (2005) at the cantonal level. The Catholic milieu has a positive impact on participation

Refrigeració de les gillettes d’ una talladora industrial

L’empresa Proslit Equipment forma part del Grup Comexi i la seva activitat consisteix en la fabricació de màquines talladores de material flexible. Degut als avenços tecnològics, s’han incrementat les prestacions de les seves màquines, entre altres coses, s’ha augmentat la velocitat de tall del film fins a 800 m/min. Aquest factor afegit a condicionants com per exemple treballar amb materials gruixuts i abrasius, a temperatures ambientals elevades, etc. fa que sorgeixi una problemàtica en el tall gillette. Degut a la fricció entre el film que circula i les gillettes que el tallen, es crea una energia calorífica que fa augmentar la temperatura de les gillettes fins a tal extrem que aquestes provoquen petites fusions del plàstic, aquest s’incrusta a les gillettes que s’acaben trencant. L’objecte principal d’aquest projecte és fer una anàlisi tècnica mitjançant elements finits de la problemàtica que s’ha detectat a les màquines talladores de l’empresa Proslit Equipment, concretament de l’escalfament de les gillettes utilitzades en el sistema de tall. Es pretén crear un model teòric que s’aproximi al màxim a la realitat de manera que es pugui observar el comportament tèrmic del sistema de tall en funció de les condicions que es determinin com a més desfavorables. Una vegada s’obtinguin aquests resultats teòrics, es valoraran i es proposaran solucions

Solucions per a la virtualització de servidors

Projecte sobre la comparativa de cinc solucions de virtualització centrant-nos especialment en el rendiment de les màquines virtualitzades, extraient informació d'aquestes mitjançant la utilització de benchmarks i posterior anàlisi de les dades obtingudes.

Viri, Remote execution of Python scripts

Viri is a system for automatic distribution and execution of Python code on remote machines. This is especially useful when dealing with a large group of hosts.With Viri, Sysadmins can write their own scripts, and easily distribute and execute them on any number of remote machines. Depending on the number of computers to administrate, Viri can save thousands of hours, that Sysadmins would spend transferring files, logging into remote hosts, and waiting for the scripts to finish. Viri automates the whole process.Viri can also be useful for remotely managing host settings. It should work together with an application where the information about hosts would be maintained. This information can include cron tasks, firewall rules, backup settings,... After a simple Integration of this application with your Viri infrastructure, you can change any settings in the application, and see how it gets applied on the target host automatically.

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

Identification of pharmaceutical tablets by Raman spectroscopy and chemometrics

Raman spectroscopy has become an attractive tool for the analysis of pharmaceutical solid dosage forms. In the present study it is used to ensure the identity of tablets. The two main applications of this method are release of final products in quality control and detection of counterfeits. Twenty-five product families of tablets have been included in the spectral library and a non-linear classification method, the Support Vector Machines (SVMs), has been employed. Two calibrations have been developed in cascade: the first one identifies the product family while the second one specifies the formulation. A product family comprises different formulations that have the same active pharmaceutical ingredient (API) but in a different amount. Once the tablets have been classified by the SVM model, API peaks detection and correlation are applied in order to have a specific method for the identification and allow in the future to discriminate counterfeits from genuine products. This calibration strategy enables the identification of 25 product families without error and in the absence of prior information about the sample. Raman spectroscopy coupled with chemometrics is therefore a fast and accurate tool for the identification of pharmaceutical tablets.

Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest

The 2008 Data Fusion Contest organized by the IEEE Geoscience and Remote Sensing Data Fusion Technical Committee deals with the classification of high-resolution hyperspectral data from an urban area. Unlike in the previous issues of the contest, the goal was not only to identify the best algorithm but also to provide a collaborative effort: The decision fusion of the best individual algorithms was aiming at further improving the classification performances, and the best algorithms were ranked according to their relative contribution to the decision fusion. This paper presents the five awarded algorithms and the conclusions of the contest, stressing the importance of decision fusion, dimension reduction, and supervised classification methods, such as neural networks and support vector machines.

The Impact of the Electoral System on Political Campaigning : Are Candidates for the Council of States More Moderate than their Fellow Candidates for the National Council ?

It is commonly believed that majority voting enhances parties to cluster around the centre of the political space, whereas proportional systems (PR) foster great ideological divergence. The theoretical arguments for these expectations go back to the work of Downs (1957) and Duverger (1954). More recent studies, however, produced quite contradictory empirical findings. In this paper I will test whether similar arguments hold true for the positioning of candidates campaigning in different electoral systems. The elections for the two chambers of the Swiss Parliament and the data from the Swiss Electoral Studies (SELECTS) and the Swiss Voting Advice Application (VAA) smartvote offer an excellent - almost laboratory like - opportunity to do so empirically. The analyses show clearly, the theoretical claims that majority voting necessarily fosters more moderate positions find no support. The candidates for the Council of States, elected in a majority system, are not more moderate than their fellow party candidates for the National Council which are elected in a PR system.

Contextual effects on subjective national identity and nationalist vote in Catalonia

The important inflow of foreign population to western countries has boosted the study of acculturation processes among scholars in the last decades. By using the case of Catalonia, a receiver region of international and national migration since the fifties, this paper seeks to intersect a classic acculturation model and a newly reemerging literature in political science on contextual determinants on individual behavior. Does the context matters for understanding individual’s subjective national identity and, therefore, its voting behavior? Multilevel models show that environment matters. Percentage of Spain-born population in the town is statistically significant to account for variance in the subjective national identity and nationalist vote, even after controlling for age, sex, origin, language and left – right orientation and other contextual factors. This conclusion invites researchers not to underestimate the direct effect of the environment on individual outcomes such as feelings of belonging and vote orientation in contexts of rival identities.

Infraestructura de comunicaciones para algoritmos colaborativos

Este proyecto intenta crear un sistema cliente/servidor de comunicaciones para distintas máquinas paralelas en C++ utilizando WCF como tecnología en el servidor.

The Associative Dimension of Issue Ownership

Issue ownership is commonly conceptualized as multidimensional, consisting of a "competence" dimension and an "associative" dimension. Because existing operationalizations of issue ownership tap only the former dimension, we focus on associative issue ownership: the spontaneous identification between specific issues and specific parties in the minds of voters. Survey evidence from Belgium shows that the associative dimension of issue ownership can be measured, that it differs from competence issue ownership, and that it is an independent determinant of voting behavior.

Health effects of occupational exposure to traffic particles and noise

Exposure to fine particles and noise has been linked to cardiovascular diseases and elevated cardiovascular mortality affecting the worldwide population. Residence and/or work in proximity to emission sources as for example road traffic leads to an elevated exposure and a higher risk for adverse health effects. Highway maintenance workers spend most of their work time in traffic and are exposed regularly to particles and noise. The aims of this thesis were to provide a better understanding of the workers' mixed exposure to particles and noise and to assess cardiopulmonary short term health effects in relation to this exposure. Exposure and health data were collected in collaboration with 8 maintenance centers of the Swiss Road Maintenance Services located in the cantons Bern, Fribourg and Vaud in western Switzerland. Repeated measurements with 18 subjects were conducted during 50 non-consecutive work shifts between Mai 2010 and February 2012, equally distributed over all seasons. In the first part of this thesis we tested and validated measurements of ultrafine particles with a miniature diffusion size classifier (miniDiSC) - a novel particle counting device that was used for the exposure assessment during highway maintenance work. We found that particle numbers and average particle size measured by the miniDiSC were highly correlated with data from the P-TRAK, a condensation particle counter (CPC), as well as from a scanning mobility particle sizer (SMPS). However, the miniDiSC measured significantly more particles than the P-TRAK and significantly less than the SMPS in its full size range. Our data suggests that the instrument specific cutoffs were the main reason for the different particle counts. The first main objective of this thesis was to investigate the exposure of highway maintenance workers to air pollutants and noise, in relation to the different maintenance activities. We have seen that the workers are regularly exposed to high particle and noise levels. This was a consequence of close proximity to highway traffic and the use of motorized working equipment such as brush cutters, chain saws, generators and pneumatic hammers during which the highest exposure levels occurred. Although exposure to air pollutants were not critical if compared to occupational exposure limits, the elevated exposure to particles and noise may lead to a higher risk for cardiovascular diseases in this worker population. The second main objective was to investigate cardiopulmonary short-term health effects in relation to the particle and noise exposure during highway maintenance work. We observed a PM2.5 related increase of the acute-phase inflammation markers C-reactive protein and serum amyloid A and a decrease of TNFa. Heart rate variability increased as a consequence of particle as well as noise exposure. Increased high frequency power indicated a stronger parasympathetic influence on the heart. Elevated noise levels during recreational time, after work, were related to increased blood pressure. Our data confirmed that highway maintenance workers are exposed to elevated levels of particles and noise as compared to the average population. This exposure poses a cardiovascular health risk and it is therefore important to make efforts to better protect the workers health. The use of cleaner machines during maintenance work would be a major step to improve the workers' situation. Furthermore, regulatory policies with the aim of reducing combustion and non-combustion emissions from road traffic are important for the protection of workers in traffic environments and the entire population.

Iowa Voter Guide, 2003

This Voter Guide is intended to help all eligible Iowans, regardless of health or physical disability, to register and vote on election day. This guide contains information on voter registration, voting accessibility, absentee voting and important election dates and deadlines. The Iowa Department for the Blind has an audio cassette version of this Voter Guide available for your convenience. NOTE: THIS VOTER GUIDE WAS VALID THROUGH 2003. IF YOU WANT THE CURRENT VOTER INFORMATION INCLUDING THE ABSENTEE BALLOT REQUEST FORM GO TO: http://www.sos.state.ia.us/elections/index.html