Nearctic \u3ci\u3eAcleris\u3c/i\u3e: Resurrection of \u3ci\u3eA. Stadiana\u3c/i\u3e and a Revised Identity for \u3ci\u3eA. Semiannula\u3c/i\u3e (Lepidoptera: Tortricidae)

Type study showed that Acleris stadiana (Barnes & Busck), currently considered a junior synonym of A. semiannula (Robinson), is in fact a distinct taxon. Although superficially similar, these taxa differ markedly in genital structure. In males of A. semiannula, the aedeagus is short, broad, and virtually straight, whereas in those of A. stadiana, it is long, thin, and sharply bent. What was known in literature as A. semiannula proved to be A. stadi­ana. We redefine both A. semiannula and the resurrected A. stadiana

Notes sur la géomorphologie d’une partie de la Côte de Beaupré

Relief features of interest to the geomorphologist are numerous in the Québec City district. Among the more striking are the fault-line scarps at Montmorency Falls and on the island of Orléans and the various Champlain sea terraces among which Goldthwait's « 110-foot » and « Micmac » terraces are particularly well developed. A possible pre-Pleistocene section of the Montmorency river channel bas been suggested but still remains to be definitely established

Farmer's organizations and acess to innovations: pathways of socioeconomic change in Massaroca, Bahia State, Brazil.

This paper focuses on the recent development of smallholders' communities in the Massaroca region of Nordeste, Braziil. The socieconomic impact of extension service interventions and organizational responses of smallholders are discussed. The results of local development projects have highighted some collective benefits for rural communities, i.e. self-reliance, official representation, and access to equpiment; however, they have also revealed an increase in social differentiation amongsst farmers, based on rural credit politics and market integration. The main beneficiaries of these proects are leaders of farmers' organizations, through their empowerment, by which they also try to obtain benefits for their parents and friends in an often biased manner. Criticism of this situation and resulting social conflicts have prompted protest reactions within rural communities. especially form women and young people, with the support of extension agents

Does group composition impact group scores in two-stage collaborative exams?

Recently, two-stage exams were introduced in two large second year genetic courses (\u3e250 students) at two different universities. The courses follow similar formats and use course learning outcomes, activities, and materials developed by the two instructors. Two-stage exams are those in which students first write an exam individually, followed immediately by a second stage in which they write the same, or similar, exam as part of a small group. Student exam grades comprised 85% individual score and 15% group score. Typically, exam scores improved in the group portion, however, the extent of the improvement varied between groups, and for several group scores were lower than the average of members’ individual scores. The goal of this project is to identify factors that may influence learning and student performance gains (Group Score – Average of Members’ Individual Scores) in the collaborative component. To determine group-composition factors that impact group scores, we compared individual and group scores from midterm and final exams, of fixed (group members stayed the same throughout all 3 exams) and dynamic (composition of group members changed in at least one exam) groups. Preliminary results show that while group composition does not have a significant effect on predicting group score, the average individual performance of students in a group impact student gains (the difference between a group’s score and the average of the members’ individual scores). We hope to use this opportunity to discuss different approaches to assess factors impacting performance on collaborative exams

Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks

Biometric authentication by means of handwritten signatures is a challenging pattern recognition task, which aims to infer a writer model from only a handful of genuine signatures. In order to make it more difficult for a forger to attack the verification system, a promising strategy is to combine different writer models. In this work, we propose to complement a recent structural approach to offline signature verification based on graph edit distance with a statistical approach based on metric learning with deep neural networks. On the MCYT and GPDS benchmark datasets, we demonstrate that combining the structural and statistical models leads to significant improvements in performance, profiting from their complementary properties

A framework for the prospective analysis of super-diversity coming from high levels of immigration

Background Pressures to keep immigration rates at relatively high levels are likely to persist in most developed countries. At the same time, immigrant cohorts are becoming more and more diverse, leading host societies to become increasingly heterogeneous across multiple dimensions. For scholars who study demographic or socio-economic behaviours, the need to account for ethnocultural “super-diversity” brings new challenges and complications. Objective The main objective of this paper is to present a framework for the prospective analysis of super-diversity in several high immigration countries. Methods We developed microsimulation models that simultaneously project several population-dimensions for Canada, the United States and countries of the European Union, with the aim of studying the consequences of alternate future population and migration trends. Results The paper presents the projected progression of three indicators of diversity for Canada, the USA and the EU28: percentage of foreign-born population, percentage of the population using a non-official language at home and percentage of non-Christians under the reference scenario. Results from alternative scenarios show the potential impact of modifying the composition of migrant cohorts. The paper also examines the projected changes in the labour force for each region by education level and language. Finally, the paper proposes a new longitudinal indicator that counts the number of years lived as active and inactive over the life course for foreign- and native-born cohorts. Contribution The microsimulation models provide much more informative results than more traditional cohort-component or multi-state models to study the future effects of ethnocultural super-diversity on high immigration countries

Acesso a inovação e reestruturação produtiva da agricultura familiar no tropico Semi-Arido: o caso das comunidades rurais de Massaroca (Juazeiro, BA).

Esse artigo trata da reestruturacao da agricultura familiar nas comunidades rurais de Massaroca (Juazeiro, BA) em decorrencia do acesso as inovacoes e aos recursos, resultantes da intervencao das instituicoes de pesquisa e de desenvolvimento. Analisa-se a difusao da informacao e da inovacao via as redes de relacoes apropriadas da inovacao e dos recursos, assim como as consequencias. Os resultados das operacoes de desenvolvimento local mostram os beneficios coletivos para as comunidades em termos de representatividade e de acesso aos equipamentos. Evidenciam, tambem, uma diferenciacao social entre os produtores, estimulada pela valorizacao diferenciada da informacao e do credito rural

Experimentação e validação de tecnologias em meio real: alguns elementos a partir da experiência de Massaroca (Juazeiro,BA).

Princípios e enfoques; Massarroca: métodos de aprendizagem e de apoio à inovação; Os ensinamentos do projeto Massaroca.bitstream/item/197306/1/Agricultura-Familiar-pag-59-85.pd

Genetic associations with childhood brain growth, defined in two longitudinal cohorts

Genome-wide association studies (GWASs) are unraveling the genetics of adult brain neuroanatomy as measured by cross-sectional anatomic magnetic resonance imaging (aMRI). However, the genetic mechanisms that shape childhood brain development are, as yet, largely unexplored. In this study we identify common genetic variants associated with childhood brain development as defined by longitudinal aMRI. Genome-wide single nucleotide polymorphism (SNP) data were determined in two cohorts: one enriched for attention-deficit/hyperactivity disorder (ADHD) (LONG cohort: 458 participants; 119 with ADHD) and the other from a population-based cohort (Generation R: 257 participants). The growth of the brain's major regions (cerebral cortex, white matter, basal ganglia, and cerebellum) and one region of interest (the right lateral prefrontal cortex) were defined on all individuals from two aMRIs, and a GWAS and a pathway analysis were performed. In addition, association between polygenic risk for ADHD and brain growth was determined for the LONG cohort. For white matter growth, GWAS meta-analysis identified a genome-wide significant intergenic SNP (rs12386571, P = 9.09 × 10-9 ), near AKR1B10. This gene is part of the aldo-keto reductase superfamily and shows neural expression. No enrichment of neural pathways was detected and polygenic risk for ADHD was not associated with the brain growth phenotypes in the LONG cohort that was enriched for the diagnosis of ADHD. The study illustrates the use of a novel brain growth phenotype defined in vivo for further study