How The 1996 Hotel Majestic agreement may explain a future PP/CiU relationship in Madrid

Some historians have argued that 1996 marked a ‘second transition’ for Spain because of the return to power of the political right in Madrid and that the relationship and eventual pact between the Partido Popular (PP) and Convergència i Unió (CiU) meant that the state could finally escape the ghosts of its Francoist past. For this research, face-to-face interviews were conducted with Catalan Members of Parliament who served under either José María Aznar or Jordi Pujol in Madrid or Barcelona. Drawing upon both interviews and other evidence, including the analysis of election results and the 1996 Hotel Majestic Agreement, the research seeks to provide a better understanding of the previous relationships between the PP and CiU and their leaders in order to understand what lessons might be learnt that would contribute to anticipating and explaining possible future negotiations between the two parties. This is attempted by first examining the potential costs and benefits of political pacts between centre (Madrid) and periphery (Barcelona). Secondly, due to many interviewees making reference to Salvador Espriu’s work La Pell de Brau, the three routes of Espriu’s Catalan nationalism are put into the context of the political pacts. Finally, the likelihood of future agreements between PP and CiU are hypothesized, not only how those agreements may (or may not) come about, but also, what might the result of those negotiations be. Ultimately, it is concluded that the benefits of the Hotel Majestic Agreement outweighed the costs, thus leaving the door open for future negotiations, even if some of those interviewed disagreed.

La dolçaina : nous recursos interpretatius?

Aquest projecte és fruit de la meva necessitat de buscar amb el meu instrument, la dolçaina, recursos interpretatius presents en altres instruments de la música tradicional. Aquests recursos, per desconeguts, em resulten nous i poden suposar la porta d’entrada a la investigació i estudi d’altres tradicions musicals. Aquest estudi pot també contribuir a veure la nostra pròpia tradició i patrimoni musical d’una altra manera. Com a punt de partida es descriuen els recursos que s’utilitzen actualment en la interpretació de dolçaina. Posteriorment s’analitzen i descriuen diferents recursos a estudiar i aplicar. Tot i que el projecte està orientat a la pràctica, s’aporta abundant informació i reflexions al voltant de la dolçaina, la música tradicional i sobre aspectes comuns entre músiques de diferents indrets.

Criteris d'avaluació de la credibilitat en les denúncies de violència de gènere

La Llei Integral de Mesures contra la Violència de Gènere estableix una sèrie de mesures legislatives que tenen per objecte el reconeixement dels drets de les víctimes de la violència, enfortir la sensibilitat ciutadana davant de la violència de gènere, instaurar un sistema de serveis socials d’atenció i de recuperació de les víctimes, garantir els seus drets econòmics i laborals, instaurar un sistema institucional de tutela, determinar un marc penal i processal i garantir la coordinació de tots aquells recursos que es dediquen a aquesta qüestió. Conscients de la importància d’aquesta Llei, de les dificultats que deriven de la seva aplicació, així com de la nostra experiència en la pràctica forense en casos de violència domèstica i de gènere, neix la idea de realitzar la recerca d’aquest estudi. Una recerca que pretén establir, a partir de l’anàlisi dels relats de dones víctimes de violència de gènere en la relació de parella, criteris de credibilitat que permetin validar les seves declaracions. Criteris obtinguts a partir de les mateixes paraules de les víctimes. Partint d’una metodologia mixta, quantitativa i qualitativa, hem obtingut uns resultats que ens han permès definir un sistema de criteris de credibilitat genuïns i discriminadors. Una discriminació obtinguda a partir de la comparació de les declaracions de dues mostres: víctimes reals i víctimes simulades. I, fruit d’aquesta comparació, la discontinuïtat narrativa, els detalls estranys, la reproducció de converses, les correccions espontànies, l’ambivalència i ambigüitat vers l’agressor, la violència indirecta, suscitant por i terror, la por a les represàlies, la imposició i intimitat del secret, la indefensió, l’evolució de la violència i progressió de la asimetria de poder, la dualitat de la conducta domèstica / imatge social de l’home, el control ampli masculí cognitiu-conductual, la descripció contextualitzada de microviolències, les estratègies de supervivència de la dona i el relat inhibit amb vergonya, han resultat criteris de credibilitat de les dones víctimes de violència de gènere que ens permetran validar el seu relat.

Criterios de evaluación de la credibilidad en las denuncias de violencia de género

Esta investigación contrasta los relatos de dos muestras de mujeres. La primera, víctimas reales de violencia de género en la relación de pareja; la segunda, deliberadamente ofrecen relatos falsos sobre esta misma problemática. Los resultados muestran una diferencia cualitativa significativa en base a los criterios de credibilidad definidos. Al mismo tiempo, el estudio ha encontrado otros criterios de credibilidad genuinos, que conforman el discurso explicativo que permite validar sus declaraciones.

The Role of Information in Contemporary Migration. More Sources but Less Informed

La migració internacional contemporània és integrada en un procés d'interconnexió global definit per les revolucions del transport i de les tecnologies de la informació i la comunicació. Una de les conseqüències d'aquesta interconnexió global és que les persones migrants tenen més capacitat per a processar informació tant abans com després de marxar. Aquests canvis podrien tenir implicacions inesperades per a la migració contemporània pel que fa a la capacitat de les persones migrants per a prendre decisions més informades, la reducció de la incertesa en contextos migratoris, el desdibuixament del concepte de distància o la decisió d'emigrar cap a llocs més llunyans. Aquesta recerca és important, ja que la manca de coneixement sobre aquesta qüestió podria contribuir a fer augmentar la distància entre els objectius de les polítiques de migració i els seus resultats. El paper que tenen els agents de la informació en els contextos migratoris també podria canviar. En aquest escenari, perquè les polítiques de migració siguin més efectives, s'haurà de tenir en compte la major capacitat de la població migrant de processar la informació i les fonts d'informació en què es confia. Aquest article demostra que l'equació més informació equival a més ben informat no es compleix sempre. Fins i tot en l'era de la informació, les fonts no fiables, les expectatives falses, la sobreinformació i els rumors encara són presents en els contextos migratoris. Tanmateix, defensem l'argument que aquests efectes no volguts es podrien reduir complint quatre requisits de la informació fiable: que sigui exhaustiva, que sigui rellevant, que s'hi confiï i que sigui actualitzada.

Statistical modeling on (α, +∞)

Observations in daily practice are sometimes registered as positive values larger then a given threshold α. The sample space is in this case the interval (α,+∞), α & 0, which can be structured as a real Euclidean space in different ways. This fact opens the door to alternative statistical models depending not only on the assumed distribution function, but also on the metric which is considered as appropriate, i.e. the way differences are measured, and thus variability

Towards Detecting Changes in Underwater Image Sequences

Detecting changes between images of the same scene taken at different times is of great interest for monitoring and understanding the environment. It is widely used for on-land application but suffers from different constraints. Unfortunately, Change detection algorithms require highly accurate geometric and photometric registration. This requirement has precluded their use in underwater imagery in the past. In this paper, the change detection techniques available nowadays for on-land application were analyzed and a method to automatically detect the changes in sequences of underwater images is proposed. Target application scenarios are habitat restoration sites, or area monitoring after sudden impacts from hurricanes or ship groundings. The method is based on the creation of a 3D terrain model from one image sequence over an area of interest. This model allows for synthesizing textured views that correspond to the same viewpoints of a second image sequence. The generated views are photometrically matched and corrected against the corresponding frames from the second sequence. Standard change detection techniques are then applied to find areas of difference. Additionally, the paper shows that it is possible to detect false positives, resulting from non-rigid objects, by applying the same change detection method to the first sequence exclusively. The developed method was able to correctly find the changes between two challenging sequences of images from a coral reef taken one year apart and acquired with two different cameras

Transmission delays in residual computation

The design of control, estimation or diagnosis algorithms most often assumes that all available process variables represent the system state at the same instant of time. However, this is never true in current network systems, because of the unknown deterministic or stochastic transmission delays introduced by the communication network. During the diagnosing stage, this will often generate false alarms. Under nominal operation, the different transmission delays associated with the variables that appear in the computation form produce discrepancies of the residuals from zero. A technique aiming at the minimisation of the resulting false alarms rate, that is based on the explicit modelling of communication delays and on their best-case estimation is proposed

An Interval Intelligent-based Approach for Fault Detection and Modelling

Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with this prevalent problem, in this paper we develop a methodology using Modal Interval Analysis which takes into account those uncertainties in the plant model. A fault detection method is developed based on this model which is quite robust to uncertainty and results in no false alarm. As soon as a fault is detected, an ANFIS model is trained in online to capture the major behavior of the occurred fault which can be used for fault accommodation. The simulation results understandably demonstrate the capability of the proposed method for accomplishing both tasks appropriately

Recent human evolution has shaped geographical differences in susceptibility to disease

Background: Searching for associations between genetic variants and complex diseases has been a very active area of research for over two decades. More than 51,000 potential associations have been studied and published, a figure that keeps increasing, especially with the recent explosion of array-based Genome-Wide Association Studies. Even if the number of true associations described so far is high, many of the putative risk variants detected so far have failed to be consistently replicated and are widely considered false positives. Here, we focus on the world-wide patterns of replicability of published association studies.Results: We report three main findings. First, contrary to previous results, genes associated to complex diseases present lower degrees of genetic differentiation among human populations than average genome-wide levels. Second, also contrary to previous results, the differences in replicability of disease associated-loci between Europeans and East Asians are highly correlated with genetic differentiation between these populations. Finally, highly replicated genes present increased levels of high-frequency derived alleles in European and Asian populations when compared to African populations. Conclusions: Our findings highlight the heterogeneous nature of the genetic etiology of complex disease, confirm the importance of the recent evolutionary history of our species in current patterns of disease susceptibility and could cast doubts on the status as false positives of some associations that have failed to replicate across populations.

Structured RNAs in the ENCODE selected regions of the human genome

Functional RNA structures play an important role both in the context of noncoding RNA transcripts as well as regulatory elements in mRNAs. Here we present a computational study to detect functional RNA structures within the ENCODE regions of the human genome. Since structural RNAs in general lack characteristic signals in primary sequence, comparative approaches evaluating evolutionary conservation of structures are most promising. We have used three recently introduced programs based on either phylogenetic–stochastic context-free grammar (EvoFold) or energy directed folding (RNAz and AlifoldZ), yielding several thousand candidate structures (corresponding to ∼2.7% of the ENCODE regions). EvoFold has its highest sensitivity in highly conserved and relatively AU-rich regions, while RNAz favors slightly GC-rich regions, resulting in a relatively small overlap between methods. Comparison with the GENCODE annotation points to functional RNAs in all genomic contexts, with a slightly increased density in 3′-UTRs. While we estimate a significant false discovery rate of ∼50%–70% many of the predictions can be further substantiated by additional criteria: 248 loci are predicted by both RNAz and EvoFold, and an additional 239 RNAz or EvoFold predictions are supported by the (more stringent) AlifoldZ algorithm. Five hundred seventy RNAz structure predictions fall into regions that show signs of selection pressure also on the sequence level (i.e., conserved elements). More than 700 predictions overlap with noncoding transcripts detected by oligonucleotide tiling arrays. One hundred seventy-five selected candidates were tested by RT-PCR in six tissues, and expression could be verified in 43 cases (24.6%).

Comparative gene prediction in human and mouse

The completion of the sequencing of the mouse genome promises to help predict human genes with greater accuracy. While current ab initio gene prediction programs are remarkably sensitive (i.e., they predict at least a fragment of most genes), their specificity is often low, predicting a large number of false-positive genes in the human genome. Sequence conservation at the protein level with the mouse genome can help eliminate some of those false positives. Here we describe SGP2, a gene prediction program that combines ab initio gene prediction with TBLASTX searches between two genome sequences to provide both sensitive and specific gene predictions. The accuracy of SGP2 when used to predict genes by comparing the human and mouse genomes is assessed on a number of data sets, including single-gene data sets, the highly curated human chromosome 22 predictions, and entire genome predictions from ENSEMBL. Results indicate that SGP2 outperforms purely ab initio gene prediction methods. Results also indicate that SGP2 works about as well with 3x shotgun data as it does with fully assembled genomes. SGP2 provides a high enough specificity that its predictions can be experimentally verified at a reasonable cost. SGP2 was used to generate a complete set of gene predictions on both the human and mouse by comparing the genomes of these two species. Our results suggest that another few thousand human and mouse genes currently not in ENSEMBL are worth verifying experimentally.

Comparative gene finding in chicken indicates that we are closing in on the set of multi-exonic widely-expressed human genes

The recent availability of the chicken genome sequence poses the question of whether there are human protein-coding genes conserved in chicken that are currently not included in the human gene catalog. Here, we show, using comparative gene finding followed by experimental verification of exon pairs by RT–PCR, that the addition to the multi-exonic subset of this catalog could be as little as 0.2%, suggesting that we may be closing in on the human gene set. Our protocol, however, has two shortcomings: (i) the bioinformatic screening of the predicted genes, applied to filter out false positives, cannot handle intronless genes; and (ii) the experimental verification could fail to identify expression at a specific developmental time. This highlights the importance of developing methods that could provide a reliable estimate of the number of these two types of genes.

A targeted association study of immunity genes and networks suggests novel associations with placental malaria infection

A large proportion of the death toll associated with malaria is a consequence of malaria infection during pregnancy, causing up to 200,000 infant deaths annually. We previously published the first extensive genetic association study of placental malaria infection, and here we extend this analysis considerably, investigating genetic variation in over 9,000 SNPs in more than 1,000 genes involved in immunity and inflammation for their involvement in susceptibility to placental malaria infection. We applied a new approach incorporating results from both single gene analysis as well as gene-gene interactionson a protein-protein interaction network. We found suggestive associations of variants in the gene KLRK1 in the single geneanalysis, as well as evidence for associations of multiple members of the IL-7/IL-7R signalling cascade in the combined analysis. To our knowledge, this is the first large-scale genetic study on placental malaria infection to date, opening the door for follow-up studies trying to elucidate the genetic basis of this neglected form of malaria.

Automatic low baseline stereo in urban areas

In this work we propose a new automatic methodology for computing accurate digital elevation models (DEMs) in urban environments from low baseline stereo pairs that shall be available in the future from a new kind of earth observation satellite. This setting makes both views of the scene similarly, thus avoiding occlusions and illumination changes, which are the main disadvantages of the commonly accepted large-baseline configuration. There still remain two crucial technological challenges: (i) precisely estimating DEMs with strong discontinuities and (ii) providing a statistically proven result, automatically. The first one is solved here by a piecewise affine representation that is well adapted to man-made landscapes, whereas the application of computational Gestalt theory introduces reliability and automation. In fact this theory allows us to reduce the number of parameters to be adjusted, and tocontrol the number of false detections. This leads to the selection of a suitable segmentation into affine regions (whenever possible) by a novel and completely automatic perceptual grouping method. It also allows us to discriminate e.g. vegetation-dominated regions, where such an affine model does not apply anda more classical correlation technique should be preferred. In addition we propose here an extension of the classical ”quantized” Gestalt theory to continuous measurements, thus combining its reliability with the precision of variational robust estimation and fine interpolation methods that are necessary in the low baseline case. Such an extension is very general and will be useful for many other applications as well.