Scatterplot 5. by Chao Yang (174810)

Fig 5 - by Yanchun Zhang (556475)

Fig 5 - by Adam Lampert (413952)

“…<p>The annual cost of treatment decreases with the target speed <i>v</i> and increases with <i>kλ</i>_<i>0</i> (spongy moth population model). …”

Autophagy facilitates CTV infection in <i>Nicotiana benthamiana.</i> by Yongle Zhang (11355546)

Fig 5 - by Suzan Farhang-Sardroodi (4622056)

“…<p>Parameter sensitivity analysis for parameter <i>R</i>_<i>d</i> using a 35 mg/kg daily (Left: A, B, C) or 49 mg/kg (5-on, 2-off) (Right: D, E, F) chemotherapy schedule to deliver a 245 mg/kg weekly dose. …”

Fig 5 - by Melinda Liu Perkins (6116204)

“…Right, changing the diffusion ratio shifts the nullcline for front velocity toward lower concentrations of the faster-diffusing species. Decreasing the diffusivity also decreases the width (increases the steepness) of the respective front (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008589#pcbi.1008589.s004" target="_blank">S2 Appendix</a>).…”

CTV p20 interacts with NbSGS3 and mediates autophagic degradation of NbSGS3. by Yongle Zhang (11355546)

Fig 5 - by Anna Duprée (9656641)

Effects of subset group size on measurement of group movement parameters. by Tong Liu (107783)

Fig 5 - by Md Ehtashamul Haque (13020918)

“…All recordings are available from (S2 Fig in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0266769#pone.0266769.s001" target="_blank">S1 File</a>) <b>(B)</b> Critical speed measurement in Ansys workbench <b>B.i)</b> Meshing of Design C (Nodes: 6749, Elements: 39228) C <b>B.ii)</b> Mode shape during natural frequency <b>B.iii)</b> Simulated (model) vs experimental critical speed of each conical shape design showing a good agreement between them with low percentage difference (1–5%) <b>(C)</b> Measured deflection of each conical shape design showing all designs experiencing deflection from 4 to 7 mm <b>(D)</b> Duration of deflection higher than 1.5 mm was decreasing the lowering of critical speed except design E5 which experienced higher deflection for longer times.…”

Fig 5 - by Amber D. Fandel (5831456)

Fig 5 - by Jessica N. Sanchez (8856284)

“…As the percentage of vaccinated foxes increased, the probability of epidemic fadeout (A, B) generally remained stable and the percentage of foxes infected (i.e. latent, infectious, or dead) by the end of the 365-day simulation (C, D) generally decreased.…”

Heatmaps showing the median difference between observed and LMM—predicted PM2.5 and PM10 during 2020 by sensor and daily hour intervals. by Daniele Pala (1524016)

S5 Data - by Shaojuan Lei (17720443)

Fig 5 - by Chen Ruiying (8807294)

Structural equation model (SEM) illustrating the complex relationships between socio-demographic factors and people’s perspectives on mining business. by Mothusi Boihang (13149705)

Dataset 5 by Yunwen Liu (20862767)

Figure 5 by Andreas Sundquist (29421)

Fig 5 - by Caroline B. Winn (11457555)

Fig 5 - by Katsuhiko Mineta (3619151)