Participants’ Mean Total Cholesterol. by Giti Azim (20940548)

“…Total cholesterol and blood glucose were the outcome variables for this study; simple and multiple linear regression was performed to find the associated factors for the outcome variables using a designed-based modeling incorporating sampling techniques and weights. …”

Carbon isotopes. by Sarah J. Noe (19846136)

Study-related adverse events. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study flow chart. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Donor and Geometry Optimization: Fresh Perspectives for the Design of Polyoxometalate Charge Transfer Chromophores by Bethany R. Hood (20396768)

“…The linear systems show that with julolidinyl (Jd) and −NTol₂ donor groups, the alkyne bridge yields high second-order nonlinear optical (NLO) coefficients β (Jd, β_0,<i>zzz</i> = 318 × 10^–30 esu; −NTol₂, β_0,<i>zzz</i> = 222 × 10^–30 esu), indeed the Jd compound gives the highest NLO activity of any organoimido-POM to date with minimal decrease in transparency. …”

Top Panel: Representation of the input voltage signal in the time domain as applied to the proteinoid sample. by Panagiotis Mougkogiannis (17002143)

FANC cells have an extended S phase. by Xavier Renaudin (20141830)

“…Note that the number of double-positive cells (top right quadrant of the middle panel) decreased over time (between 30 min and 9 h). Linear regression of the fraction of EdU+ BrdU+ cells among EdU+ cells over time was used to determine DNA synthesis time as the time when the regression line crossed the x-axis (bottom panel). …”

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

The source code of LazyAct. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

Visualization on SMAC-25m based on <i>LazyAct</i>. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

Network architectures for multi-agents task. by Hongjie Zhang (136127)

“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”

Estimated MSE for different values of with . by Muhammad Luqman (9713197)

“…That penalty term introduces a small amount of bias in parameter estimates with an objective to decrease the mean square error. …”

Estimated MSE for different values of with . by Muhammad Luqman (9713197)

“…That penalty term introduces a small amount of bias in parameter estimates with an objective to decrease the mean square error. …”

Estimated MSE for different values of with . by Muhammad Luqman (9713197)

“…That penalty term introduces a small amount of bias in parameter estimates with an objective to decrease the mean square error. …”

Estimated MSE for different values of with . by Muhammad Luqman (9713197)

“…That penalty term introduces a small amount of bias in parameter estimates with an objective to decrease the mean square error. …”

Estimated MSE for different values of with . by Muhammad Luqman (9713197)

“…That penalty term introduces a small amount of bias in parameter estimates with an objective to decrease the mean square error. …”