Flowchart of patients. by Seydou Goro (17847203)

“…Using the number of competitors per distance method, our study showed that a “highly competitive” and “moderately competitive” markets decreased mortality by 31% [OR: 0.69 (0.59, 0.80); p<0.001] and by 12% respectively [OR: 0.88 (0.79, 0.99); p<0.03], compared to the “non-competitive” market. …”

Image_1_Contribution of Connexin Hemichannels to the Decreases in Cell Viability Induced by Linoleic Acid in the Human Lens Epithelial Cells (HLE-B3).JPEG by Vania A. Figueroa (8332773)

Table_1_Contribution of Connexin Hemichannels to the Decreases in Cell Viability Induced by Linoleic Acid in the Human Lens Epithelial Cells (HLE-B3).DOCX by Vania A. Figueroa (8332773)

Image_2_Contribution of Connexin Hemichannels to the Decreases in Cell Viability Induced by Linoleic Acid in the Human Lens Epithelial Cells (HLE-B3).TIF by Vania A. Figueroa (8332773)

Mean offspring production of the aphid population treated with different fungal isolates at a concentration of 3.2×10⁶. by Aime Cheoh Enoh (20141758)

Total viable immune cells and macrophages decrease acutely while neutrophils and macrophage increase at day 30 in parotid glands after 5Gy IR. by Jordan A. Gunning (18143970)

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

Data_Sheet_1_Decreased Hemoglobin Concentration and Iron Metabolism Disorder in Periodontitis: Systematic Review and Meta-Analysis.pdf by Donglei Wu (471776)

“…In addition, patients with periodontitis had a higher level of hepcidin [SMD = 0.59, CI = (0.05, 1.12)] and decreased level of transferrin [SMD = −4.6, CI = (−13.1, −3.90)], with high heterogeneity.…”

Mean daily consultation counts. by Yael Rachamin (6161423)

CcnA mutation of Loop A decreases the interaction with the 5′ UTR of P2-<i>ctrA</i> mRNA and 5′ UTR of <i>gcrA</i> mRNA. by Wanassa Beroual (5314028)

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)

Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

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)

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. …”

Cardiac-specific p38γ/δ^act overexpression decreases cardiac glycogen storage and lipid accumulation. by Ayelén M. Santamans (5487941)

Baseline characteristics of study participants. by Zixia Qian (21474969)

“…For each age group, the mumps IgG seroprevalence rates were 74.40%, 89.02%, 85.58%, 68.60%, 69.28%, 78.42%, and 80.63% for those <8 months, 8 months-2 years, 3–5 years, 6–17 years, 18–39 years, 40–59 years, and>=60 years, respectively. In terms of the percentage decreases in anti-mumps antibody titers, in the population receiving the 1-dose vaccine, there was a mean decrease of 2.06% per year. …”

The numerical data used in this study. by Zixia Qian (21474969)

“…For each age group, the mumps IgG seroprevalence rates were 74.40%, 89.02%, 85.58%, 68.60%, 69.28%, 78.42%, and 80.63% for those <8 months, 8 months-2 years, 3–5 years, 6–17 years, 18–39 years, 40–59 years, and>=60 years, respectively. In terms of the percentage decreases in anti-mumps antibody titers, in the population receiving the 1-dose vaccine, there was a mean decrease of 2.06% per year. …”

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

“…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”

The effect of R55H, D149E, and G59R on the structure of RAD52. by Abdulaziz B. Hamid (13804692)