Summary of subscales or questions utilized to define traits. by Dai Nogimura (21445649)

Subjects:

Relevant follow-up evaluation indicators after operation (mean±standard deviation)/n (%). by Na Wang (193263)

Multivariable general linear mixed models for retinal thickness measurements. by Roomasa Channa (374127)

Mean within-person differences in ratings between Block 1 (the habituation block) and Block 2 (the critical manipulation block) for the letter cancelation task. by Nicholas P. Carruth (16469743)

Energy-Efficient Transmission Technique based on Dijkstra Algorithm for decreasing energy consumption in WSNs by Abderrahim M.

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IgA is decreased in individual donor milk and is present in human milk-based fortifiers. by Christian Tamar (21100605)

Results of the generalized linear mixed model (GLMM) for correct responses in the speech recognition task. by Elena Bolt (20396190)

Silenced promoters exhibit increased H3K9me3 and decreased H3-acetylation and RNA Pol II recruitment. by Anna C. Groner (252216)

Flowchart of participants in this study. by Yubo Teng (21246745)

Subjects:

Pre and post-treatment mean EPG values on days 0, 7, 14, 21, and 28. by Sohail Afzal (10850709)

Subjects:

Intra-hospital patient transfer algorithm. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Detail results of simulation. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Data collection for simulation modeling. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Waiting time results. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Schedule of internal arrival times. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Conditions for the simulation model. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Simulation scenarios. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Model code and scenarios. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

One-way ANOVA analysis of waiting time. by Ekkarat Meephu (15307058)

“…A simulation was conducted to identify 20 scenarios in order to discover the optimal scenario in which where the number of requests (stretchers or wheelchairs) was increased, while the number of staff was decreased to determine mean waiting times and confidence intervals. …”

Comparison of the mean and standard deviation of fall prevention measures checklist before and after the intervention. by Shoeleh Rahimi (19065677)