Navegando por Palavras-chave "Equations"

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    A importância de conteúdos desenvolvidos no ensino básico para o aprendizado das equações diferenciais
    (Universidade Federal de São Paulo (UNIFESP), 2020-01-31) Sant Anna, Debora Cervellini [UNIFESP]; Salles Neto, Luiz Leduino De [UNIFESP]; Universidade Federal de São Paulo
    In this project we will study the differential equations of firts and seond orders, highlighting the contents of basic education that are extremely important for the learning of differential equations. We will approach problem situations differential equations. I hope that at the end of this work you can help and clarify the elementary school teachers how important are the contents taught by them in the education of the exact sciences professional.
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    Screening for physical inactivity among adults: the value of distance walked in the six-minute walk test. A cross-sectional diagnostic study
    (Associacao paulista medicina, 2016) Sperandio, Evandro Fornias [UNIFESP]; Arantes, Rodolfo Leite [UNIFESP]; da Silva, Rodrigo Pereira [UNIFESP]; Matheus, Agatha Caveda [UNIFESP]; Lauria, Vinicius Tonon [UNIFESP]; Bianchim, Mayara Silveira [UNIFESP]; Romiti, Marcello [UNIFESP]; de Toledo Gagliardi, Antonio Ricardo [UNIFESP]; Dourado, Victor Zuniga [UNIFESP]
    CONTEXT AND OBJECTIVES: Accelerometry provides objective measurement of physical activity levels, but is unfeasible in clinical practice. Thus, we aimed to identify physical fitness tests capable of predicting physical inactivity among adults. DESIGN AND SETTING: Diagnostic test study developed at a university laboratory and a diagnostic clinic. METHODS: 188 asymptomatic subjects underwent assessment of physical activity levels through accelerometry, ergospirometry on treadmill, body composition from bioelectrical impedance, isokinetic muscle function, postural balance on a force platform and six-minute walk test. We conducted descriptive analysis and multiple logistic regression including age, sex, oxygen uptake, body fat, center of pressure, quadriceps peak torque, distance covered in six-minute walk test and steps/day in the model, as predictors of physical inactivity. We also determined sensitivity (S), specificity (Sp) and area under the curve of the main predictors by means of receiver operating characteristic curves. RESULTS: The prevalence of physical inactivity was 14%. The mean number of steps/day (<= 5357) was the best predictor of physical inactivity ( S = 99%