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Os impactos dos cuidados parentais e familiares na carreira acadêmica de docentes: um survey na Universidade Federal de São Carlos (UFSCar)
(Universidade Federal de São Carlos, 2022-07-13) Postigo, Isabelli Carolina Sampaio; Rigolin, Camila Carneiro Dias; https://lattes.cnpq.br/2388584081961836
This undergraduate final project intent to analyze the impact of the parental and familiar care in the career and personal life of teachers from three different departments from Federal University of São Carlos: Occupational Therapy, Information Science and Electrical Engineering. For that, a quiz will be applied in the survey mode, with closed questions. The theoretical reference is based on woman’s scientific works, such as Adriana Maria Tonini, Elizabeth Bortolaia Silva e Maria Teresa Citeli, bringing their production and theories to light. Also, it covers specially researches about gender and science produced in the scope of Science and Technology. To the data collect with the theachers, it has been delivered a quiz, in the survey mode, with mostly seal questions, related with parental care, domestic work, academical activities and scientific production of those people. The results indicate that woman had increase their domestic work, in addition to be the main responsible for caring home.
Avaliação de estimativas populacionais com dados de luz noturna VIIRS DNB
(Universidade Federal de São Carlos, 2022-07-13) Xavier, Rana Barbara Silveira; Bourscheidt, Vandoir; https://lattes.cnpq.br/8224261649535795; https://lattes.cnpq.br/4643874881839526
The population projections of the Brazilian Institute of Geography and Statistics (IBGE) serve as a basis for urban studies, planning and monitoring. In this sense it is essential that they get as close as possible to reality, which is constantly undergoing changes. For this, periodic reviews of the methods used to maintain data quality are necessary. On the other hand, these constant urban changes highlight the need for new data sources in addition to conventional population projections, and nighttime remote sensing demonstrates the potential to meet this demand. Using the Visible Infrared/ Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) instrument operated by NASA's Defense Meteorological Satellite Program (DMSP) program, it is possible to use the product generated by it, the VIIRS Nighttime Lights (VNL), in different ways, and are generally applied in urban studies in conjunction with land surface and population census data. In view of this, this work proposes to carry out an analysis of the relationship between night light compositions of the VIIRS instrument and the population estimates of the IBGE in the period from 2014 to 2020. On this sense, the methodology applied involved the use of data from population estimates together with the VNL compositions, producing OLS linear regression-scatter plots of the relationship between the population estimate and the luminosity for each year in Brazil, and WLS weighted linear regression for the regional relationship between the population estimates and luminosity, considering the areas as a weighting factor, seeking to identify whether the relationship between the data remains stable over the years. The results suggest a reduction in the relationship over time, which may be affected, among other factors, (i) by the expansion of illuminated (rural) areas; (ii) the impacts of the pandemic on luminosity; as well as (iii) by the possible distance of the estimates in relation to the real population totals. This analysis sought to provide subsidies for the adoption of this type of data as a complementary parameter in population estimates.
Semeadura direta na restauração em floresta tropical úmida na Colômbia
(Universidade Federal de São Carlos, 2022-07-13) Marin Paladines, Harvey; Piña-Rodrigues, Fatima Conceição Márquez; https://lattes.cnpq.br/1475369713141675; https://lattes.cnpq.br/7954420319561534
Faced with the challenges of ecological restoration, the study of techniques that can be used on a large scale, with cost reduction and efficiency of results, direct sowing has shown success in several places, requiring improvement of the methodology and, mainly, selection of species. suitable for use at the beginning of the restoration implementation. Thus, our objectives were to identify forest species with aptitude for direct seeding as well as to analyze survival and development, according to their performance in the variables studied in order to classify the species based on their probability of success and potential for direct seeding. In an area of 768 m2 in the municipality of Popayán – Cauca, Colombia, direct sowing was implemented, in a row system, using manual sowing in a row, compared to manual sowing by hauling in soil prepared by harrowing where 17 forest species of different families and sizes were used. with a density of 250,000 seeds.ha-1. Emergence was monitored for 450 days at different intervals and all individuals were identified and marked in 64 plots of 3m x 2m. Height (H) and diameter at neck height (DAC) were counted and measured for all seedlings. Potential classes were established based on their growth (H, DAC), germinability, emergence and probability of success. 94.12% (16 species) emerged with 5 to 240 individuals, and 1024 survivors after 450 days (13,333 plants.ha-1). Germinability (Gd) and survival rate (S) were significant predictors of Probability of Success (PBS) in the linear regression model built, there was a tendency to increase Probability of success with increasing Germinability (Gd) and survival rate (S). Principal Component Analysis (PCA) showed that the first two components were responsible for 77.4% of the total variance of the data set; additionally, a strong correlation was observed between the variables PBS (Probability of success), Gd (Germinability), survival (S) with the large and medium sizes of seeds regardless of the ecological group. It can be concluded that the non-pioneer species, Inga densiflora, Quercus. humboldtii and Jacaranda caucana; as well as the pioneer species Delostoma integrifolium and Heliocarpus americanus showed the best aptitude and at the same time correlation with the variables Probability of success, Germinability, survival, Emergence and growth in height and diameter.