Bean Lindgren (jumpfaucet8)

A group of 22 medical educators from different European countries, gathered in a meeting in Utrecht in July 2019, discussed the topic of learning analytics (LA) in an open conversation and addressed its definition, its purposes and potential risks for learners and teachers. LA was seen as a significant advance with important potential to improve education, but the group felt that potential drawbacks of using LA may yet be under-exposed in the literature. After transcription and interpretation of the discussion's conclusions, a document was drafted and fed back to the group in two rounds to arrive at a series of 10 caveats educators should be aware of when developing and using LA, including too much standardized learning, with undue consequences of over-efficiency and pressure on learners and teachers, and a decrease of the variety of 'valid' learning resources. Learning analytics may misalign with eventual clinical performance and can run the risk of privacy breaches and inescapability of documented failures. These consequences may not happen, but the authors, on behalf of the full group of educators, felt it worth to signal these caveats from a consumers' perspective.Objective Determine whether the ACSM walking equations, which calculate caloric expenditure, were accurate for college-aged males and females.Participants Between 2011 and 2016, 100 college-aged males, 20.24 ± 2.0 years old, and 100 college-aged females, 20.8 ± 1.3 years old, volunteered to participate.Methods Participants walked on a treadmill at 80.4 m⋅min-1 at grades of 2, 4, and 6%. Oxygen uptake was measured with an oxygen analyzer (Medgraphics VO2000, Minneapolis, MN). click here Measurements were converted to caloric expenditure.Results The mean metabolically derived (MD) [Formula see text]2 values, in ml·kg-1·min-1 for males walking at grades of 2.0, 4.0 and 6.0% were 15.4 ± 2.7, 17.3 ± 2.6, 19.6 ± 2.8, respectively, and for females were 15.2 ± 1.1, 16.0 ± 2.0, 17.4 ± 4.2, respectively. ACSM prediction equation values for [Formula see text]2 at the described parameters are 14.4, 17.3 and 20.8, respectively.Conclusions ACSM prediction equations are not a good predictor of overall caloric expenditure, in college-aged males and females.Findings from previous studies have suggested that the telomerase system is involved in radiation-induced genomic instability. In this study, we investigated the involvement of telomerase in the development and processing of chromosomal damage at different cell cycle stages after irradiation of human fibroblasts. Several response criteria were investigated, including cell survival, chromosomal damage (using the micronucleus assay), G2-induced chromatid aberrations (using the conventional G2 assay as well as a chemically-induced premature chromosome condensation assay) and DNA double-strand breaks (DSBs; using γ-H2AX, 53BP1 and Rad51) in an isogenic pair of cell lines BJ human foreskin fibroblasts and BJ1-hTERT, a telomerase-immortalized BJ cell line. To distinguish among G1, S and G2 phase, cells were co-immunostained for CENP-F and cyclin A, which are tightly regulated proteins in the cell cycle. After X-ray irradiation at doses in the range of 0.1-6 Gy, the results showed that for cell survival and micronuclei induction, where the overall effect is dominated by the cells in G1 and S phase, no difference was observed between the two cell types; in contrast, when radiation sensitivity at the G2 stage of the cell cycle was analyzed, a significantly higher number of chromatid-type aberrations (breaks and exchanges), and higher levels of γ-H2AX and of Rad51 foci were observed for the BJ cells compared to the BJ1-hTERT cells. Therefore, it can be concluded that telomerase appears to be involved in DNA DSB repair processes, mainly in the G2 phase. These data, taken overall, reinforce the notion that hTERT or other elements of the telomere/telomerase system may defend chromosome integrity in human fibroblasts by promoting repair