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>). …”

Fig 13 - by Jianbo Jia (717814)

“…Finally, by making corresponding test blocks, it was found that the peak value of forward resistance when the 10.5°test block crossed the steps of 1mm, 2mm and 3mm height decreased by 19.8%, 25.0% and 13.9% respectively, and the mean value decreased by 30.8%, 27.2% and 24.1% respectively, which was close to the simulation results, and verified the accuracy of the finite element analysis results.…”

Training steps of the improved YOLOv4-Tiny. by Fuxing He (19555871)

MeV <i>M</i> mRNA quantification in cells treated with an inhibitor of RNA polymerase III. by Pierre Khalfi (7868252)

Subjects:

The mean <i>z</i>-coordinate error decreasing percentages (%) of SSI-RIK compared to EM-SFM, CSF and RIK, when the sequence sizes vary from 15 to 50 with an equal interval 5. by Ya-Ping Wang (44525)

“…<p>The mean <i>z</i>-coordinate error decreasing percentages (%) of SSI-RIK compared to EM-SFM, CSF and RIK, when the sequence sizes vary from 15 to 50 with an equal interval 5.…”

Least squares mean (LSM) + standard error (SE) of C3 concentration, ACH50 and CH50 values in different haplotypic combinations among 354 Chinese Holstein cows. by Yonghui Wang (287491)

Image_1_Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients.tif by Zijing Ran (11429935)

“…</p>Results<p>ULT resulted in a mean (standard deviation) decrease in SU level (464.22 ± 110.21 μmol/L at baseline, 360.93 ± 91.66 μmol/L at the final visit, p <0.001) accompanied by a decrease in median (interquartile range) VFA [97.30 (81.15–118.55) at baseline, 90.90 (75.85–110.05) at the final visit, p < 0.001]. …”

Factors associated with abnormal left ventricular ejection fraction (decreased or increased) in patients with sepsis in the intensive care unit by Dong Geum Shin (6019568)

“…<div><p>Background</p><p>Sepsis-induced cardiomyopathy (SIC) is known to show cardiac dysfunction in patients with sepsis. Both a decrease or an increase in ejection fraction (EF), an indicator of cardiac function, can occur. …”

Phytoplankton community mean cell size decreases with temperature and increases with dilution rate. by Kalista Higini Peter (296566)

Flowchart of data preprocessing steps. by Ehsan Yaghmaei (16985784)

Absorbed lifetime and 50-y projected doses to selected organs. by Martin Šefl (11607984)

Tannic acid blocks an early step of HCV entry. by Shuanghu Liu (307907)

“…JFH1-AM120-Rluc pre-treated with 50 μM tannic acid for 15 minutes and then diluted to decrease the concentration of tannic acid to 5 μM prior to the inoculation of Huh-7.5 cells. …”

Mean score of school factors by SES over years. by Benti Geleta Buli (15417868)

OPC survival, proliferation, and differentiation decrease in acidic extracellular pH (PDL surface, 50 µg/ml). by Anna Jagielska (464874)

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Changes in V_T and FRC during decreasing PEEP. by Marcus J. Kitchen (444759)

“…<p>The increase in tidal volume (V_T) and decrease in functional residual capacity (FRC) when positive end-expiratory pressure (PEEP) is decreased in 5 cmH₂O stepwise decrements (10-5-0PEEP), large steps (10-0PEEP) and from a small step (5-0PEEP) in the ventilated lung. …”

File containing data underlying the plots in the S5 Fig. by Dnyanesh Dubal (12085942)

File containing data underlying the plots in the Fig 5. by Dnyanesh Dubal (12085942)

Comprehensive microarray polymer profiling of powdered textile processing samples. by Jean-Luc Runavot (657205)

S1 Table - Non-Cellulosic Polysaccharides from Cotton Fibre Are Differently Impacted by Textile Processing by Jean-Luc Runavot (657205)