For most sites, observed abundance decreases with size class. by Sarah L. Becker (6631253)

B-factor values of Ca_V3.3 M1425 substitutions. by Yousra El Ghaleb (22075892)

Subjects:

Large state-wide variation (8.5-fold) in number of clozapine prescriptions per thousand Medicare Part D enrollees in 2019 ^a indicates ≥1.50 SD (16.8) from the mean (31.0... by Luke R. Cavanah (19022435)

Table_1_v2_A long waiting time from diagnosis to treatment decreases the survival of non-small cell lung cancer patients with stage IA1: A retrospective study.docx by Bin Liu (5899)

“…After adjusting for other confounders, the waiting time was identified as an independent prognostic factor.</p>Conclusions<p>A long waiting time before treatment may decrease the survival of stage IA1 NSCLC patients. …”

Multi-way sensitivity analysis on transmission rate, CD4 count at diagnosis, and ART costs in a model-based analysis of Immediate ART initiation in Côte d’Ivoire. by Eric N. Ouattara (6890174)

S1 File - by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Detailed information on field experiments. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

List of symbols used in this study. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Data sources for calibration and evaluation. by Yonghui Zhang (279832)

“…Root means square error (RMSE) (mean absolute error (MAE), coefficient of determination (R²), and Nash Sutcliffe model efficiency (NSE)) are 15.50 (14.63, 0.96, 0.42), 4.76 (3.92, 0.97, 0.95), 4.69 (3.72, 0.98, 0.95), 3.91 (3.40, 0.99, 0.96) and 12.54 (11.67, 0.95, 0.60), 5.07 (4.61, 0.98, 0.93), 4.97 (4.28, 0.97, 0.94), 4.58 (4.02, 0.98, 0.95) for using one, two, three, and four observed phenological stages in the CSPs estimation. …”

Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Infectiousness profiles of SARS-CoV-1 and SARS-CoV-2. by Matteo Serafino (11599593)

Image4_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Image2_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Image6_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Image1_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Image3_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Image7_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.jpeg by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Table1_Vaccine induced mucosal and systemic memory NK/ILCs elicit decreased risk of SIV/SHIV acquisition.xlsx by Mohammad Arif Rahman (8267352)

“…<p>SIV and HIV-based envelope V1-deleted (ΔV1) vaccines, delivered systemically by the DNA/ALVAC/gp120 platform, decrease the risk of mucosal SIV or SHIV acquisition more effectively than V1-replete vaccines. …”

Retinoic acid decreases intracellular K⁺ in pectoral fin buds via transcriptional activation of the calcineurin inhibitor <i>rcan2</i>. by Xiaowen Jiang (8291814)

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

“…However, how global land use changes impact soil N supply and potential N loss remains elusive. 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. …”