Pedagogia materna e relaçõoes sociais

Dissertação (mestrado) - Universidade Federal de Santa Catarina. Centro de Ciencias da EducaçãoO trabalho tem como objeto de estudo a relação educativa entre mãe e filho, enquanto expressão da totalidade do social. Foi realizado a partir do convívio e de entrevistas orientadas, segundo os temas: Educação, Trabalho e Sociedade, a mães da chamada classe subalterna, direta e indiretamente relacionadas ao trabalho produtivos, seguidos de discussões aprofundadas com profissionais envolvidos com programas de educação infantil de quatro municípios do Estado de Santa Catarina. O estudo permitiu compreender a forma que toma em nossa sociedade, a relação pedagógica do grupo familiar, cuja síntese se vê expressa no discurso e repertório educacional materno. Traz os resultados e os pressupostos das relações sociais que caracterizam como naturais os processos de educação materna, que são sociais e culturalmente determinados

Movimento de objetivação e subjetivação mediado pela criação artística Movement of objectivity and subjectivity, mediated for the artistic creation

Este texto tem por objetivo refletir sobre o movimento de um sujeito e sua relação com a criação artística, apontando que neste processo articulam-se dialeticamente o saber, o fazer e o sentir. As análises sustentam-se nas falas desse sujeito, coletadas por meio de entrevistas e registros em vídeo de sua participação em uma disciplina de um curso de graduação em Psicologia. As reflexões decorrentes, por sua vez, pautam-se nos aportes teóricos da Psicologia Histórico-Cultural e revelam a complexidade do processo de constituição do sujeito que, via atividade criadora, parte da realidade e a transforma, transformando nesse movimento a si mesmo e ao modo como significa tanto a sua própria trajetória quanto o contexto do qual ativamente participa.<br>This text has for objective reflect about the moviment of a subject and his relation with the artistic creation, aiming that in this I process articulate herself dialeticaly the knowledge, do him and feel him. Was analysed the speeches collected with interviews and records in video of his participation in a subject discipline of the one course of Psychology. The reflections was suposted by theoretical of the Historical-Cultural Psychology. Was possible reveal the complexity of the trial of constitution of the person that, road creative activity, part of the reality and it transforms, transforming in that movement to itself even and to the way as signifies so much to its own as much as path the context of which actively participates

COVID-19 ICU mortality prediction: a machine learning approach using SuperLearner algorithm

Background: Since the beginning of coronavirus disease 2019 (COVID-19), the development of predictive models has sparked relevant interest due to the initial lack of knowledge about diagnosis, treatment, and prognosis. The present study aimed at developing a model, through a machine learning approach, to predict intensive care unit (ICU) mortality in COVID-19 patients based on predefined clinical parameters. Results: Observational multicenter cohort study. All COVID-19 adult patients admitted to 25 ICUs belonging to the VENETO ICU network (February 28th 2020-april 4th 2021) were enrolled. Patients admitted to the ICUs before 4th March 2021 were used for model training (“training set”), while patients admitted after the 5th of March 2021 were used for external validation (“test set 1”). A further group of patients (“test set 2”), admitted to the ICU of IRCCS Ca’ Granda Ospedale Maggiore Policlinico of Milan, was used for external validation. A SuperLearner machine learning algorithm was applied for model development, and both internal and external validation was performed. Clinical variables available for the model were (i) age, gender, sequential organ failure assessment score, Charlson Comorbidity Index score (not adjusted for age), Palliative Performance Score; (ii) need of invasive mechanical ventilation, non-invasive mechanical ventilation, O2 therapy, vasoactive agents, extracorporeal membrane oxygenation, continuous venous-venous hemofiltration, tracheostomy, re-intubation, prone position during ICU stay; and (iii) re-admission in ICU. One thousand two hundred ninety-three (80%) patients were included in the “training set”, while 124 (8%) and 199 (12%) patients were included in the “test set 1” and “test set 2,” respectively. Three different predictive models were developed. Each model included different sets of clinical variables. The three models showed similar predictive performances, with a training balanced accuracy that ranged between 0.72 and 0.90, while the cross-validation performance ranged from 0.75 to 0.85. Age was the leading predictor for all the considered model