This research considered 180 written narratives of emotional experiences (positives and negatives) of 18 secondary school in-service Mexican mathematics teachers. We use the cognitive theory of emotions to identify emotions and we carry out a thematic analysis to identify the situations that trigger ...
where TP is the number of correctly predicted base pairs (true positives), FP is the number of incorrectly predicted base pairs (false positives), and FN is the number of base pairs in the reference structure that were not predicted (false negatives). We also used the F-value as the bala...
A simplified criterion to calculate the performance of each feature was to define true positives as negative values in struc- tural mutants and true negatives as zero or positive values in non-structural mutants. Hence, we calculated sensitivity and specificity of each feature to structural mutants ...
Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering individuals, thereby significantly influencing societal and personal development. However, the persistent issue of school dropout poses a significant challenge
Accuracy was defined as the ratio of the sum of true positives and true negatives over the total number of cases. True/false positives were the cases where the MSBC resulted in a correct/wrong SPMS prediction, whereas true/false negatives were the cases where the MSBC resulted in a correct/...
Methodological limitations of this review include RADTs or throat cultures not distinguishing between GAS commensal carriage and GAS infection, which means that identifying true positive GAS pharyngitis where the causative organism is GAS is difficult and the number of true positives and false positives ...
Defining true positives (TP) as the number of base-pairs correctly predicted, false positives (FP) as the number of true base-pairs not predicted, and false negatives (FN) as the number of base-pairs predicted which are incorrect, we have Sensitivity = TP TP + FN PPV = TP TP + FP ...
True positives were those who scored high risk and actually got an adverse outcome, false positives were those who did not get an adverse outcome but were scored high risk, false negatives got the adverse outcome but were scored low risk and true negatives were those who were scored low risk...
In Supplementary Section A, we show that this finding is robust to correcting for measurement error based on administrative data, which allows us to compute false positives and false negatives both before and during the pandemic, and provide evidence that the proxy is indeed highly predictive of ...
We calculated sensitivity, specificity, and positive predictive values (PPV), negative predictive values (NPV) and 95% confidence intervals and explored reasons for identifying false negatives and false positives. Prevalence of maltreatment was reported because this number affects the PPV and NPV. ...