Effect of biologics on triglyceride outcomes of RA forest results. by Xiaodong Jia (783460)

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Forest plot of the effect of biologic therapy versus conventional therapy on low-density lipoprotein levels stratified by different drug treatments. by Xiaodong Jia (783460)

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Forest plot of the effect of biologic therapy versus conventional therapy on total cholesterol levels stratified by different drug treatments. by Xiaodong Jia (783460)

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Basic characteristics of research. by Xiaodong Jia (783460)

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Forest plot of the effect of biologic therapy versus conventional therapy on triglyceride levels stratified by treatment duration. by Xiaodong Jia (783460)

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Forest plot of the effect of biologic therapy versus conventional therapy on triglyceride levels stratified by different drug treatments. by Xiaodong Jia (783460)

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Table_2_Remote Ischemic Preconditioning Reduces Marathon-Induced Oxidative Stress and Decreases Liver and Heart Injury Markers in the Serum.pdf by Jan Mieszkowski (3708067)

“…RIPC training was performed in the course of four cycles, by inflating and deflating a blood pressure cuff at 5-min intervals (RIPC group, n=10); the control group underwent sham training (n=8). …”

Table_1_Remote Ischemic Preconditioning Reduces Marathon-Induced Oxidative Stress and Decreases Liver and Heart Injury Markers in the Serum.pdf by Jan Mieszkowski (3708067)

“…RIPC training was performed in the course of four cycles, by inflating and deflating a blood pressure cuff at 5-min intervals (RIPC group, n=10); the control group underwent sham training (n=8). …”

Read counts for "<b>Propionate Decreases Microglial Activation but Impairs Phagocytic Capacity in response to Aggregated Fibrillar Amyloid Beta Protein</b>" by Andrew Gold (19532335)

<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b> by Luisa Kumpitsch (20874095)

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)

Distribution of mCSM-PPI2 [13] predicted ΔΔG from in silico saturation mutagenesis of the ACE2-S interface in PDB 6vw1 [11]. by Stuart A. MacGowan (11326845)

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mCSM-PPI2 predicted ΔΔG with and without recalibration are in agreement with published deep mutagenesis binding data [22] at low predicted ΔΔG but recalibrated predictions are more... by Stuart A. MacGowan (11326845)

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Univariable and multivariable analyses (age-adjusted), concerning a selection of medicaments p < 0.1 and n ≥ 10. by P.G.J. ter Horst (21743830)

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

Shows the 5′ region and the exons of the <i>C3</i> gene in the vertical line and the three new SNPs that we found by sequencing. by Yonghui Wang (287491)

RIP in urban areas. by Ridzuan Kunji Koya (20234865)

“…Using HIPC with actual consumption estimates, smokers required approximately 0.9pp more of average income to purchase cigarettes between 2014 and 2016, but 2.5pp less from 2016 to 2019. …”

RIP in rural areas. by Ridzuan Kunji Koya (20234865)

“…Using HIPC with actual consumption estimates, smokers required approximately 0.9pp more of average income to purchase cigarettes between 2014 and 2016, but 2.5pp less from 2016 to 2019. …”

Raw data file. by Ridzuan Kunji Koya (20234865)

“…Using HIPC with actual consumption estimates, smokers required approximately 0.9pp more of average income to purchase cigarettes between 2014 and 2016, but 2.5pp less from 2016 to 2019. …”