Pour une catégorisation et une classification critique des majorités renforcées au Canada

Ce mémoire se veut une cartographie et une typologie des mécanismes exigeant plus de 50 % + 1 des voix exprimées pour rendre une décision effective. Nous tenterons ainsi de trier et d’éclaircir ce que certains appellent majorité qualifiée, super majorité, majorité renforcée ou majorité exceptionnelle et surtout de distinguer les contextes dans lesquels l’usage de ces procédés s’opère. Pourquoi une communauté politique refuse-t-elle de l’idée selon laquelle l'excédant d'une seule voix peut suffire afin de prendre une décision collective? Dans quels contextes ou pour quels types de décisions ces majorités renforcées sont-elles utilisées? Comment définir les conditions ou exigences associées à ces majorités renforcées? Ce sont quelques unes des questions qui traversent cette étude visant à dresser un portrait de la diversité des mécanismes lorsqu’il est question de majorité renforcée.This dissertation is intended to map and classify the mechanisms that require more than 50% + 1 of the votes cast to make a decision effective. This study seeks to clarify what some have called "super majorities" or “qualified majorities” and distinguish between the different contexts in which these procedures are used. Why does a political community, in some instances, refuse to accept the notion that one extra vote suffices to constitute a collective decision? What types of decisions and which contexts warrant these "super majorities"? What are the conditions or requirements associated to them? These are some of the questions raised in this study, which portrays the diversity of mechanisms related to "super majorities"

Unsupervised classification to improve the quality of a bird song recording dataset

Open audio databases such as Xeno-Canto are widely used to build datasets to explore bird song repertoire or to train models for automatic bird sound classification by deep learning algorithms. However, such databases suffer from the fact that bird sounds are weakly labelled: a species name is attributed to each audio recording without timestamps that provide the temporal localization of the bird song of interest. Manual annotations can solve this issue, but they are time consuming, expert-dependent, and cannot run on large datasets. Another solution consists in using a labelling function that automatically segments audio recordings before assigning a label to each segmented audio sample. Although labelling functions were introduced to expedite strong label assignment, their classification performance remains mostly unknown. To address this issue and reduce label noise (wrong label assignment) in large bird song datasets, we introduce a data-centric novel labelling function composed of three successive steps: 1) time-frequency sound unit segmentation, 2) feature computation for each sound unit, and 3) classification of each sound unit as bird song or noise with either an unsupervised DBSCAN algorithm or the supervised BirdNET neural network. The labelling function was optimized, validated, and tested on the songs of 44 West-Palearctic common bird species. We first showed that the segmentation of bird songs alone aggregated from 10% to 83% of label noise depending on the species. We also demonstrated that our labelling function was able to significantly reduce the initial label noise present in the dataset by up to a factor of three. Finally, we discuss different opportunities to design suitable labelling functions to build high-quality animal vocalizations with minimum expert annotation effort

Seroprevalence of anti-SARS-CoV-2 IgG at the first epidemic peak in French Guiana, July 2020.

Funder: National Research AgencyFunder: Regional Health Agency of French GuianaFunder: Institut Pasteur Urgence COVID-19 fundraisingBACKGROUND: While Latin America has been heavily affected by the pandemic, only a few seroprevalence studies have been conducted there during the first epidemic wave in the first half of 2020. METHODOLOGY/PRINCIPAL FINDINGS: A cross-sectional survey was performed between 15 July 2020 and 23 July 2020 among individuals who visited 4 medical laboratories or 5 health centers for routine screening or clinical management, with the exception of symptomatic suggestive cases of covid-19. Samples were screened for the presence of anti-SARS-CoV-2 IgG directed against domain S1 of the SARS-CoV-2 spike protein using the anti-SARS-CoV-2 enzyme-linked immunosorbent assay (ELISA) from Euroimmun. CONCLUSIONS/SIGNIFICANCE: The overall seroprevalence was 15.4% [9.3%-24.4%] among 480 participants, ranging from 4.0% to 25.5% across the different municipalities. The seroprevalence did not differ according to gender (p = 0.19) or age (p = 0.51). Among SARS-CoV-2 positive individuals, we found that 24.6% [11.5%-45.2%] reported symptoms consistent with COVID-19. Our findings revealed high levels of infection across the territory but a low number of resulting deaths, which can be explained by French Guiana's young population structure

A barley cysteine-protease inhibitor reduces teh performance of two aphid species in artificial diets and transgenic arabidopsis plants

Cystatins from plants have been implicated in plant defense towards insects, based on their role as inhibitors of heterologous cysteine-proteinases. We have previously characterized thirteen genes encoding cystatins (HvCPI-1 to HvCPI-13) from barley (Hordeum vulgare), but only HvCPI-1 C68 → G, a variant generated by direct-mutagenesis, has been tested against insects. The aim of this study was to analyze the effects of the whole gene family members of barley cystatins against two aphids, Myzus persicae and Acyrthosiphon pisum. All the cystatins, except HvCPI-7, HvCPI-10 and HvCPI-12, inhibited in vitro the activity of cathepsin L- and/or B-like proteinases, with HvCPI-6 being the most effective inhibitor for both aphid species. When administered in artificial diets, HvCPI-6 was toxic to A. pisum nymphs (LC50 = 150 μg/ml), whereas no significant mortality was observed on M. persicae nymphs up to 1000 μg/ml. The effects of HvCPI-6 ingestion on A. pisum were correlated with a decrease of cathepsin B- and L-like proteinase activities. In the case of M. persicae, there was an increase of these proteolytic activities, but also of the aminopeptidase-like activity, suggesting that this species is regulating both target and insensitive enzymes to overcome the effects of the cystatin. To further analyze the potential of barley cystatins as insecticidal proteins against aphids, Arabidopsis plants expressing HvCPI-6 were tested against M. persicae. For A. pisum, which does not feed on Arabidopsis, a combined diet-Vicia faba plant bioassay was performed. A significant delay in the development time to reach the adult stage was observed in both species. The present study demonstrates the potential of barley cystatins to interfere with the performance of two aphid specie

Assessing the ecological risk posed by a recently established invasive alien predator: Harmonia axyridis as a case study

Invasive alien predators are a serious threat to biodiversity worldwide. However, there is no generic method for assessing which local species are most at risk following the invasion of a new predator. The harlequin ladybird, Harmonia axyridis (Pallas) (Coleoptera: Coccinellidae), is an alien in Europe and many other parts of the world where it affects other species of ladybirds through competition for food and intra-guild predation (IGP). Here, we describe a method developed to assess which European ladybird species are most at risk following the invasion of H. axyridis. The three components of the risk assessment are: the likelihood that the assessed native species encounters H. axyridis in the field, the hazard of competition for food, and the IGP hazard. Thirty native European ladybird species were assessed through data obtained from field observations, laboratory experiments and literature reviews. The species that are considered most at risk are found on deciduous trees, have immature stages which are highly vulnerable to IGP by H. axyridis, and are primarily aphidophagous. These species should be the focus of specific studies and possibly conservation actions. The risk assessment method proposed here could be applied to other alien predators which are considered a threat to native species through competition and predation