Estudo comparativo entre a metodologia do ensino à distância, no âmbito do Consórcio Cederj e a presencial com enfoque nas disciplinas de contabilidade dos cursos de Administração da UFRRJ

Com o advento da internet o ensino a distância se apresenta como uma perspectiva de formação para milhares de cidadãos, permitindo a interiorização do ensino de qualidade e levando a oportunidade de formação àqueles que estão localizados longe dos grandes centros. O ensino a distância permite derrubar as barreiras geográficas que mantém o aluno do interior do Estado apartado do acesso ao ensino público gratuito e de qualidade. No entanto, a aplicação da metodologia EaD deve ser feita de forma a respeitar as características locais sem prescindir dos princípios que o norteiam. A carência de profissionais de contabilidade na esfera pública é significativa. Desta forma, esse trabalho se insere na perspectiva de avaliar se a metodologia da EaD apresenta alguma diferença para o ensino de contabilidade. Através de pesquisa caracterizada em sua metodologia como descritiva, realizada de forma quantitativa que emprega lógica dedutiva, resultante em uma pesquisa aplicada, é traçado um paralelo entre o ensino a distância e o ensino presencial por meio do estudo das disciplinas de contabilidade ministradas nos cursos de Administração da UFRRJ, observando que o curso a distância é oferecido no âmbito do Consórcio Cederj. Através de um conjunto de questionários, foi traçado o perfil do aluno cursista e dos potenciais alunos que ingressarão no curso, bem como a percepção que eles têm da carreira de contador. Foi desenvolvido um estudo sistemático da eficiência das ferramentas oferecidas pela metodologia do EaD como facilitador da aprendizagem, bem como a comparação entre a metodologia do ensino a distância e o presencial, tanto sob a ótica dos alunos quanto do professores. Entre as conclusões verifica-se, através das cidades investigadas, que a população do interior do Estado, prestes a ingressar em um curso superior, desconhece ou tem uma noção muito superficial da profissão de contador e não tem interesse pela carreira de ciências contábeis como opção para o vestibular. Outra conclusão que a pesquisa revela demonstra que a metodologia do EaD é uma poderosa ferramenta para capilarizar o ensino, seja a formação superior como também a formação continuada, sem perda de qualidade para metodologia presencial.

Dividing population genetic distance data with the software Partitioning Optimization with Restricted Growth Strings (PORGS): an application for Chinook salmon (Oncorhynchus tshawytscha), Vancouver Island, British Columbia

A new method of finding the optimal group membership and number of groupings to partition population genetic distance data is presented. The software program Partitioning Optimization with Restricted Growth Strings (PORGS), visits all possible set partitions and deems acceptable partitions to be those that reduce mean intracluster distance. The optimal number of groups is determined with the gap statistic which compares PORGS results with a reference distribution. The PORGS method was validated by a simulated data set with a known distribution. For efficiency, where values of n were larger, restricted growth strings (RGS) were used to bipartition populations during a nested search (bi-PORGS). Bi-PORGS was applied to a set of genetic data from 18 Chinook salmon (Oncorhynchus tshawytscha) populations from the west coast of Vancouver Island. The optimal grouping of these populations corresponded to four geographic locations: 1) Quatsino Sound, 2) Nootka Sound, 3) Clayoquot +Barkley sounds, and 4) southwest Vancouver Island. However, assignment of populations to groups did not strictly reflect the geographical divisions; fish of Barkley Sound origin that had strayed into the Gold River and close genetic similarity between transferred and donor populations meant groupings crossed geographic boundaries. Overall, stock structure determined by this partitioning method was similar to that determined by the unweighted pair-group method with arithmetic averages (UPGMA), an agglomerative clustering algorithm.

Novel Papillomaviruses in Free-Ranging Iberian Bats: No Virus-Host Co-evolution, No Strict Host Specificity, and Hints for Recombination

Papillomaviruses (PVs) are widespread pathogens. However, the extent of PV infections in bats remains largely unknown. This work represents the first comprehensive study of PVs in Iberian bats. We identified four novel PVs in the mucosa of free-ranging Eptesicus serotinus (EserPV1, EserPV2, and EserPV3) and Rhinolophus ferrumequinum (RferPV1) individuals and analyzed their phylogenetic relationships within the viral family. We further assessed their prevalence in different populations of E. serotinus and its close relative E. isabellinus. Although it is frequent to read that PVs co-evolve with their host, that PVs are highly species-specific, and that PVs do not usually recombine, our results suggest otherwise. First, strict virus-host co-evolution is rejected by the existence of five, distantly related bat PV lineages and by the lack of congruence between bats and bat PVs phylogenies. Second, the ability of EserPV2 and EserPV3 to infect two different bat species (E. serotinus and E. isabellinus) argues against strict host specificity. Finally, the description of a second noncoding region in the RferPV1 genome reinforces the view of an increased susceptibility to recombination in the E2-L2 genomic region. These findings prompt the question of whether the prevailing paradigms regarding PVs evolution should be reconsidered.

A catch-free stock assessment model with application to goliath grouper (Epinephelus itajara) off southern Florida

Many modern stock assessment methods provide the machinery for determining the status of a stock in relation to certain reference points and for estimating how quickly a stock can be rebuilt. However, these methods typically require catch data, which are not always available. We introduce a model-based framework for estimating reference points, stock status, and recovery times in situations where catch data and other measures of absolute abundance are unavailable. The specif ic estimator developed is essentially an age-structured production model recast in terms relative to pre-exploitation levels. A Bayesian estimation scheme is adopted to allow the incorporation of pertinent auxiliary information such as might be obtained from meta-analyses of similar stocks or anecdotal observations. The approach is applied to the population of goliath grouper (Epinephelus itajara) off southern Florida, for which there are three indices of relative abundance but no reliable catch data. The results confirm anecdotal accounts of a marked decline in abundance during the 1980s followed by a substantial increase after the harvest of goliath grouper was banned in 1990. The ban appears to have reduced fishing pressure to between 10% and 50% of the levels observed during the 1980s. Nevertheless, the predicted fishing mortality rate under the ban appears to remain substantial, perhaps owing to illegal harvest and depth-related release mortality. As a result, the base model predicts that there is less than a 40% chance that the spawning biomass will recover to a level that would produce a 50% spawning potential ratio.