Live Fast, Die Young: Experimental Evidence of Population Extinction Risk due to Climate Change by Elvire Bestion (818248)

Table_2_Influence of Drying and Wildfire on Longitudinal Chemistry Patterns and Processes of Intermittent Streams.DOCX by Ruth B. MacNeille (9912051)

“…In contrast, mean total nitrogen (TN) concentrations decreased in both streams, with a 16% TN decrease in the unburned stream and a 500% TN decrease (mostly nitrate) in the burned stream. …”

Supplementary Material for: Urine Metabolomics by ¹H-NMR Spectroscopy Indicates Associations between Serum 3,5-T₂ Concentrations and Intermediary Metabolism i... by Pietzner M. (4152400)

“…In detail, the odds for intermediate or suppressed serum 3,5-T₂ concentrations doubled owing to a 1-standard deviation (SD) decrease in urine trigonelline levels, or increased by 29-50% in relation to a 1-SD decrease in urine pyroglutamate, acetone and hippurate levels. …”

Telomere length regulates Fst/BMP/pSmad signaling. by Na Liu (102929)

“…<p>(A) Scatter plots showing global differential gene expression profile of WT and G4 <i>Terc</i>^–/–ES cells. …”

B-Myb binds to and regulates Oct4 promoter activity. by Kirill V. Tarasov (75912)

“…In undifferentiated cells, an amplification signal 10–15-fold above that seen in the IgG control is observed; however, this signal is reduced to only 2–4 fold above the IgG control following withdrawal of LIF and FCS. …”

FIGURE 1 from D-2-HG Inhibits <i>IDH1^mut</i> Glioma Growth via FTO Inhibition and Resultant m6A Hypermethylation by Sean T. Pianka (18237413)

“…Note that the total RADAR gene number is slightly larger here than the totals in <b>J</b>, because this list includes all <i>P</i> < 0.01 transcripts (including those with low magnitude fold changes). <b>L,</b> Supervised hierarchical clustering heat map of intersectional TCGA and RADAR data between U87, NHA, and gliomasphere cell lines that conformed to m6A and RNA expression conventions (i.e., an increase in RADAR m6A expression corresponded to a decrease in TCGA RNA expression). …”

Measurement of ctDNA at first evaluation. by Nicolas Pécuchet (3153186)

“…<p>Evolution of ctDNA concentration (ng/mL) between baseline (T0) and first evaluation (E1) showing a (A) decrease, (B) increase, (C) normalization, or (D) negativity at both time points. …”

Supplementary Material for: TRENDS IN HOSPITAL DISCHARGES WITH PRIMARY DIAGNOSIS OF CEREBRAL VENOUS THROMBOSIS BY AGE AND SEX IN SPAIN by figshare admin karger (2628495)

“…Time series analysis showed a proportional decrease in younger women (p < 0.001) and a rising relative burden in older men (p < 0.001). …”

Sequential broadside application of 100 µM FCCP at two separate regions in the same FDB fibre. by Joseph Bruton (635407)

“…Red vertical calibration bar in <b>A</b> represents 50 µm.</p>…”

HG module schematic. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Label data volume and label distribution. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

The structure of the context guided block. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

SEnet module. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

AC-LayeringNetV2 architecture module. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Cracks included in the dataset. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Loss function comparison plot. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Edge device performance benchmarking. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Typical error cases. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Computational efficiency comparison. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Energy landscapes of the model with and without descending loops. by Pantelis Leptourgos (9767840)