T3SS induction reduces gentamicin susceptibility, but S10 expression predicts survival. by Justin Greene (306625)

S10 and T3SS reporter signals do not correlate in the absence of MgOx treatment. by Justin Greene (306625)

Averaged absorption spectra as a function of cost compared to the far-red adapted cyanobacteria <i>Acarychloris marina</i> [62] for (A) 40% of available visible light below 700nm,... by Callum Gray (2691769)

T3SS induction slows growth, but cells can support high levels of S10 expression. by Justin Greene (306625)

Box plot of queens and males in the young colony (left) and old colony (right) A-B compares the queens and males distribution in the young and old colonies, respectively. by Moïse Pierre Exélis (21578515)

S1 File - by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

Flowchart of the selection program. by Zsófia Tróznai (19923854)

“…Larger body height increased the likelihood of selection by about 12%, larger muscle mass by 12% to 25%, larger bone age by 350–400%, while larger percent body fat decreased selection chances by 7%. …”

SEM images of cobalt-based catalysts supported on Al₂O₃ at different magnifications. by Ning Zuo (17295415)

Fos does not interact with Jun but homodimerizes post axotomy. by Gibarni Mahata (19486154)

Navigation error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Summary of related works. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Research methodology flow diagram. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Positioning error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Error-Bar graph. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

“…As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”

A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

“…As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”

Principal coordinates analysis (PCoA). by Wararak Choovanichvong (22110371)

“…Analysis of bacterial abundance revealed a shift in trends as the disease combined from control to NSESKD and SESKD group, respectively, across 7 genera: <i><i>Actinobacillus</i></i>, <i>TM7x</i>, <i><i>Capnocytophaga</i></i>, <i><i>Neisseria</i></i>, and <i><i>Leptotrichia</i></i> increased in abundance, while <i><i>Actinomyces</i></i> and <i><i>Atopobium</i></i> decreased. Linear discriminant analysis effect size (LEfSe) identified <i><i>Leptotrichia</i></i> as a potential biomarker for ESKD (both with and without sarcopenia).…”

Experimental and Numerical Investigations of Soot Formation in the Laminar to Turbulent Transition of an Acetylene Diffusion Flame by Shijun Chen (835302)

“…Results from different regimes indicate the following: (1) In the laminar state, <i>ṁ</i>_soot increased linearly with <i>Re</i>, with a growth rate positively correlated with the tube diameter. (2) After entering the transitional state, <i>ṁ</i>_soot decreased exponentially by over 95%; <i>T</i> gradually increased by 150 K; and both SPL and the standard deviation of <i>T</i> (σ_<i>T</i>) initially rose and then declined. (3) After entering the fully turbulent state, SPL increased again whereas σ_<i>T</i> stabilized at 14. …”

Clustering analysis of total and active RNAP II at genes during the transition from G1 to G2. by Douglas Maya-Miles (7024967)

Sequential viral infection modulates the intestinal bacterial microbiome. by Yuhao Li (1559569)