Photosynthesis and respiration rates of (A) <i>Acropora</i> sp. and (B) <i>P. verrucosa</i> for the four groups. by Malte Ostendarp (13217973)

Redox-Responsive Self-Assembled Amphiphilic Nanosheets from Polyglycerol Sulfate–Lipoic Acid Copolymers for Targeted Cancer Drug Delivery by Taylor M. Page (22767587)

“…Targeted drug delivery systems that are stimuli-responsive offer great potential for enhancing the therapeutic activity of drugs, decreasing off-target effects, and improving bioavailability. …”

Mixed multivariable linear regression model for risk factors influencing Perceived Costs to owners of 21-month-old Pandemic Puppies bought as puppies under 16-weeks of age in the U... by Bree L. Merritt (20714798)

The expression levels of putative VIP1 target genes that were upregulated by brushing in brushed <i>atb’’αβγδ</i> leaves. by Hyuk Sung Yoon (20208672)

Cardiac chambers undergo regionalised reduction in cell size. by Juliana Sánchez-Posada (20636677)

Trends in spatial beta diversity over time. by Zoë J. Kitchel (21688386)

“…A lack of significant trend is shown in blue. The average linear trend across surveys (black line with 95% confidence interval in gray) is also plotted from a linear mixed effect model with a random slope and intercept for survey. …”

The clinical characteristic of patients. by Hai-bo Ai (20790405)

The results of threshold effect analysis. by Hai-bo Ai (20790405)

The forest plot of subgroup analysis. by Hai-bo Ai (20790405)

Mixed multivariable linear regression model for risk factors influencing Perceived Emotional Closeness between owners of 21-month-old Pandemic Puppies bought as puppies under 16-we... by Bree L. Merritt (20714798)

Summary of dose response modeling parameters for MS2. by Daniel Ma (12698752)

The results of curve fitting analysis. by Hai-bo Ai (20790405)

“…This curve demonstrated a non-linear relationship between the rate of alert detection by an attending physician and direct cost. …”

The atrium and ventricle exhibit different tissue dynamics during morphogenesis. by Juliana Sánchez-Posada (20636677)

Importance of random forest model. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Schematic of the Baidu SVI collection. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Map of the study area. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Research framework. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Perception type distribution and typical images. by Yu Zhang (12946)

“…The results showed that: 1) the degree of coastal openness had the greatest influence on human perception while the coastal landscape with a high green visual index decreases the distinctiveness perception; 2) the random forest model can effectively predict human perception on urban coastal roads with an accuracy rate of 87% and 77%; 3) The proportion of low perception road sections with potential for improvement is 60.6%, among which the proportion of low aesthetic perception and low distinctiveness perception road sections is 10.5%. …”

Participants’ Mean Blood Glucose. 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. …”

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. …”