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. …”

Adjusted analyses of the odds of a child aged 6–59 months being anaemic in Cambodia (N = 10,051). by Samnang Um (14990562)

DataSheet1_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.ZIP by Gabriella Gálffy (177759)

“…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”

DataSheet2_Decreasing incidence and mortality of lung cancer in Hungary between 2011 and 2021 revealed by robust estimates reconciling multiple data sources.xlsx by Gabriella Gálffy (177759)

“…The COVID-19 pandemic resulted in a statistically significant decrease in lung cancer incidence, especially in the 50–59 age group (both sexes).…”

SIINFEKL-specific CD8⁺ T cells treated with anti-CXCR3 decreased the polyfunctionality. by Camila Pontes Ferreira (6194006)

PRV-induced infertility is caused by decreased P4 level. by Bing-Qian Su (8616981)

Decrease in cleavage score by randomly permuting string-of-beads vaccines. by Emilio Dorigatti (9558024)

“…<p>(a) For each vaccine in the Pareto frontier of each bootstrap, we created 50 new string-of-beads by randomly permuting its epitopes and compared the cleavage scores of the two vaccines. …”

Trends ARI symptoms of Cambodia children aged between 0–59 months, CDHS 2000 to 2014. by Samnang Um (14990562)

Trends of children aged 0–59 months with ARI symptoms by survey years, CDHS 2000 to 2014. by Samnang Um (14990562)

Decreased Incidence of Type 1 Diabetes in Young Finnish Children by Anna Parviainen (9343391)

“…In the middle age group, a significant decrease was observed only among females. …”

VPS34 inhibition decreases intracellular levels of cholesteryl-esters, blocks cholesterol uptake and enhances lysosomal degradation of LDLR. by Marek J. Kobylarz (9292599)

rHSP60 decreases LPS-induced mononuclear cell proliferation. by Igor Emiliano L. Souza (18196495)

Does Mean Platelet Volume Decrease in the presence of Coronary Artery Fistula? by Isa Sincer (7234577)

“…<div><p>Abstract Background: Coronary artery fistula (CAF) is an abnormal connection that links a coronary artery to a cardiac chamber or another major blood vessel. …”

Table_1_Decreased Risk in the Pancreatic Cancer With History of Hay Fever: A Meta-Analysis.doc by Guannan Wang (2209297)

“…A history of hay fever was associated with a decreased risk of pancreatic cancer (OR, 0.57; 95% CI, 0.50–0.64, P < 0.00001) through fixed effect model.…”

Overall and regional trends of anemia among children age 6–59 months by survey year. by Samnang Um (14990562)

Primary endpoint analysis, i.e., time to first occurrence of combined event of 50% decrease in eGFR or ESRD. by Rozita Mohd (7411322)

Datasheet1_Impact of lockdown on children with type-1 diabetes: returning to the community was associated with a decrease in HbA1c.pdf by Benjamin Morat (17677977)

“…No significant difference was observed between medians of HbA1c_mean and HbA1c_after values (8.37% [7.88; 9.32%] vs. 8.50% [7.70; 9.50%], respectively; p = 0.391). …”

Datasheet2_Impact of lockdown on children with type-1 diabetes: returning to the community was associated with a decrease in HbA1c.pdf by Benjamin Morat (17677977)

“…No significant difference was observed between medians of HbA1c_mean and HbA1c_after values (8.37% [7.88; 9.32%] vs. 8.50% [7.70; 9.50%], respectively; p = 0.391). …”

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)