Your English writing platform
Free sign upExact(1)
An interaction of Familiarity and Group (F 1, 12) = 9.664; p = .009) arose, because the two groups did not show a difference in classifying unknown faces as unknown (t(12) = .024; n.s)., but controls recognized more famous faces as known (t(12) = 3.895; p = .002).002
Similar(59)
This procedure did not show any interrater differences in classifying the patient's symptoms.
This difference is most likely explained by the methodological variations, regional characteristics in marketed product ranges and by differences in classifying excipients into the toxicity categories.
Changes in culling strategy did not alter the profile of exit causes in Nugent and Jenkins [ 23] probably because of a no-cull policy for reproductive failure in the first production year for all culling plans and differences in classifying herd exits compared with the current study.
The main difference lies in classifying packet losses on the ones due to congestion or due to error prone channel; in case of congestion due to the multirate anomaly, using codec change on the call that changed rate and incrementing the frame size of others can be helpful, while in case of error-prone channel, using bigger frame size will cause more packet losses so it should be avoided.
The authors write that the discrepancies may result from differences across studies in classifying emotional stress or disease outcomes.
The difference in incorrectly classified photos between both groups was 61.3 % (CI 57.5%% – 65.0 %).
We highlight below where important differences arose.In Figure 1 the difference in proportion classified as high risk (risk greater than 20% at ten years) is shown when a new predictor with a hazard ratio of 2 per 1 standard deviation (medium new predictor) was added to a baseline model whose covariate had a hazard ratio of 3 per 1 standard deviation (medium baseline model).
The differences between RIFLE and AKIN in classifying a patient are illustrated in the hypothetical example of a Caucasian male, whose baseline creatinine is not known but is estimated at 1.0 mg/dl, with a slow increase in creatinine in the ICU of 0.1 mg/dl/day (Table 3).
Examples included: differences in training; classifying conditions using both TCM pattern differentiation and Western diagnoses; and different professional structures, identifying representative practitioners.
A fair agreement between these data can be observed, although the different testing conditions, vehicle type, nationality, data set dimension, and test track type can easily explain the differences among the distributions, even more when considering the marked difference in distribution when classifying different track segments on the basis of the local curvature.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com