Mean contacts by risk perception or risk category by adult age groups of 18 to 59 and 60 or more years with 95% CI of bootstrapped mean weighted by age, gender, and weekday. by Amy Gimma (8809463)

Mean percentage variation in the rates of detection of leprosy and disability grade at the time of diagnosis of cases, in an endemic municipality in Central-West Brazil (2008–2018)... by José Francisco Martoreli Júnior (9221060)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

Demographic data of participants (mean ± SD). by Ya-Chu Chung (12551592)

Mean daily consultation counts. by Yael Rachamin (6161423)

Adjusted means and 95% confidence interval of blood pressure change from baseline to the follow-up in different general or abdominal obesity status change groups. by Yi-de Yang (6755798)

Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

“…<p><b>(a)</b> Autocorrelation profiles of 53 key BO-NN features. Per feature, a black line shows the time point where the autocorrelation drops below .5. …”

Boxplots of average NH₃ ppm in cages with four female or four male mice (see key for male and female) across five cage changing cycles at KI, LUMC and UGA. by B. Ulfhake (6293984)

F1 pre-dissolution, pH 6, pH 5, and pH 4 thin sections of cortical and trabecular bone. by Colleen A. Sullivan (13955253)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Synthesis of polymers 5 and 6. by Ghadeer Mubarak (21567569)

“…The results showed that AMCs act as efficient corrosion inhibitors, with over 90% inhibition efficiency ( ) at 20 ppm concentration. The electrochemical investigation results indicated that the AMCs with hydrophilic and hydrophobic ratios of 100 (<b>5</b>), 90:10 (<b>6a</b>), and 80:20 (<b>6b</b>) manifest of 87.74%, 92.12%, and 93.53%, respectively. …”

Comparisons of corticospinal excitability between the SIS and comparison groups (mean ± SD). by Ya-Chu Chung (12551592)

Summary of predictors that increase (+ UC) and decrease (- UC) the dose of propofol for the three statistical models used for data analysis. by Chiara E. Hampton (16484687)

Subjects:

Expected marginal mean QoL scores for two age cohorts over 2016–2024 in Gauteng, South Africa. by Edmore Marinda (286299)

Subjects:

Expect marginal mean score for individual QoL dimensions for two age cohorts over time in Gauteng South Africa, 2016 - 2024. by Edmore Marinda (286299)

Subjects:

Demographic data of the ED visits due hand injuries and subsequent hand operations, 2020 compared with mean of reference years 2017–2019. by Ilari Kuitunen (11084096)

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)