Data_Sheet_1_Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer.pdf by Arne Heittmann (11976065)

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

Subjects:

Significant Decrease in Vessel Count of Trade Vessels in (a) Bosporus Strait and (b) Bab el-Mandeb Strait. by Cherryl Chico (20978829)

Subgroup analysis of BUN based on pump type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Subgroup analysis of BUN based on surgery type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

M^pro confers a significant reduction in growth in yeast caused by decreases in a variety of cellular proteins. by Jin Ou (16914305)

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. …”

App user base growth trends. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

Significant variables in decreasing importance for varietal clustering based on Random forest method. by Wilfried Chevalier (10521466)

Spleen PAX5 significantly decreased in APRIL/BLyS blockade treated mice. by Natalie M. Bath (6316517)

Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

Cabozantinib significantly decreases tumor volume and prolongs survival in SCNPC PDX models. by Mark P. Labrecque (10011469)

Increasing and decreasing temperature trends in <i>M</i>. <i>peregrina</i> habitats at 95% confidence level. by Hossein Piri Sahragard (19226096)

Subjects:

Subgroup analysis of ICU Stay based on pump type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Subgroup analysis of eGFR based on pump type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

<i>In vivo</i> voxel based morphometry identified a significant interaction between time and training. by Alexandra Badea (352052)

Bacterial groups that significantly changed over time within the control group based on qPCR analysis. by Evangelia M. Stavroulaki (11840809)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

MAE significance comparison between MSCALSTM and baseline models based on Energy dataset. by Zhifei Yang (14613332)

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. …”