O corpo negado pela sua “extrema subjetividade”: expressões da colonialidade do saber na ética em pesquisa

In the quest to understand the (in)visibility of non-heteronormative bodies in medical education, a process that systematically grounds its institutional discourse on the biological coherence, I looked at my gay body both as a doctor and professor to understand this culture and its consequences. The objective of the article is to discuss the initial institutional confrontations faced by an autoethnographic research regarding homoaffectivity in medical education and practice. This work is aimed towards understanding the silencing imposed on subjectivity, existence and participation as a subject-researcher in “Science”. Thus, amidst a muted cry of a denied body, “misunderstood” for its “extreme subjectivity,” this text represents the audacity in speaking and breaking with the mortifying silence imposed by the supposed “scientific” hegemony23COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES88881.188456/2018-01Buscando compreender as (in)visibilidade dos corpos não heteronormativos na educação médica, a qual sistematicamente sustenta seus discursos institucionais baseados na coerência biológica, olhei para o meu corpo gay , de médico e de professor, para compreender essa cultura e seus desdobramentos. O objetivo deste trabalho é discutir os enfrentamos institucionais iniciais para a realização de uma pesquisa autoetnográfica sobre a homoafetividade na formação e prática médicas. Compreendemos, com esse trabalho, o silenciamento imposto à subjetividade, à existência e à participação enquanto pesquisador-sujeito na “Ciência”. Assim, em meio a um grito emudecido de um corpo negado, com “entendimentos errôneos” pela sua “extrema subjetividade”, este texto representa uma ousadia em falar e romper com o silêncio mortificante que a suposta hegemonia “científica” impõ

Developing Ontologies withing Decentralized Settings

This chapter addresses two research questions: “How should a well-engineered methodology facilitate the development of ontologies within communities of practice?” and “What methodology should be used?” If ontologies are to be developed by communities then the ontology development life cycle should be better understood within this context. This chapter presents the Melting Point (MP), a proposed new methodology for developing ontologies within decentralised settings. It describes how MP was developed by taking best practices from other methodologies, provides details on recommended steps and recommended processes, and compares MP with alternatives. The methodology presented here is the product of direct first-hand experience and observation of biological communities of practice in which some of the authors have been involved. The Melting Point is a methodology engineered for decentralised communities of practice for which the designers of technology and the users may be the same group. As such, MP provides a potential foundation for the establishment of standard practices for ontology engineering

Growth of pea plants (Pisum sativum L.) subjected to different soil water potentials : physiological indexes

A ervilha é cultivada no Brasil Central, durante o inverno seco, exigindo para o pleno êxito da cultura o uso da irrigação. Assim, o presente trabalho se propõe a avaliar os efeitos do potencial da água no solo nos índices fisiológicos da análise quantitativa de crescimento de plantas de ervilha (Pisum sativum L.). O experimento foi montado em casa de vegetação, em solos de textura argilosa, com delineamento experimental inteiramente casualizado, com quatro tratamentos decorrentes de potenciais mínimos da água no solo (-33, -100, -200 e -1500 kPa) em três repetições, cada qual contendo duas plantas de ervilha, cultivar Caprice. Os resultados obtidos evidenciaram que a redução do potencial água no solo, induziu o decréscimo na área foliar, sem interferir no comportamento da razão de massa foliar, razão de área foliar, taxa assimilatória líquida e taxa de crescimento relativo. _________________________________________________________________________________________ ABSTRACT: Peas are cultivated in the central region of Brazil, during the dry winter, demanding for the complete success the use of irrigation. Therefore, the present work has the aim of evaluating soil water potential effects on the indexes of physiological growth analysis of peas (Pisum sativum L.). The experiment was carried out in a greenhouse using soils of clayey texture, in a fully randomized design, with four treatments, based on minimum soil water potentials (-33, -100, -200 and -1500 kPa) in three replicates, each one containing two pea plants Caprice cultivar. The results obtained indicate that the reduction of soil water potential induced the decrease of leaf area, but did not interfer on the behaviour of leaf weight ratio, leaf area ratio, net assimilation rate and relative growth rate

The genetic architecture of the human cerebral cortex

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 306 nominally genome-wide significant loci (P < 5 × 10−8) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 299 loci for which replication data were available, 241 loci influencing surface area and 14 influencing thickness remained significant after replication, with 199 loci passing multiple testing correction (P < 8.3 × 10−10; 187 influencing surface area and 12 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation (rG = −0.32, SE = 0.05, P = 6.5 × 10−12), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 10 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function