Example of predicted effects of choice bundling on preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs). by Jeffrey S. Stein (11689918)

<i>E</i>. <i>coli</i> C deep rough LPS mutants show increased susceptibility to chloramphenicol and gentamicin. by Lavisha Parab (14248215)

“…<p>Heatmaps show growth of <i>E</i>. <i>coli</i> C wild type and 33 <i>E</i>. <i>coli</i> C-derived, phage-resistant strains (R#) at increasing concentrations of chloramphenicol (left) and gentamicin (right). …”

Presynaptic inhibition also compensates for increases in recurrent excitation in alternative circuit motifs. by Laura Bella Naumann (9221252)

“…<p>Top: Mean population models in which presynaptic inhibition not only affects excitatory recurrent synapses, but also <b>A</b>. inhibitory synapses onto excitatory cells, <b>B</b>. excitatory synapses onto inhibitory cells <b>C</b>., all recurrent synapses (including recurrent inhibitory connections) or <b>D</b>. background input. …”

dLDS attractor recovery also benefits from increasing prediction delay. by Rodrigo Osuna-Orozco (20686205)

Distribution of population at final time (left) and change in mean MSI at final time (right) from simulations across 1000 parameter sets when weevils are absent (red) and with weev... by Alexandra M. Campbell (3284094)

Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... by Alexandra M. Campbell (3284094)

Spectroscopic characterization of wild-type and p.R163C αB-crystallin: CD, FTIR and Raman analysis. by Aref Baharvand (21713886)

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Raman spectroscopy was employed to investigate the conformational variations between wild-type and p.R163C mutant αB-crystallin proteins. by Aref Baharvand (21713886)

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PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

Reduced resource release rates increase abundance and intermixing of cooperators but also their generation time. by André Bogdanowski (9306278)

Increasing nonlinearity reduces the noise load in the bistable region, decreasing also the epimutation rate. by Mariana Gómez-Schiavon (7553561)

Correlations of cytokines that significantly change between the pre-infusion and post-infusion blood draws pearson’s correlation between cytokine pairs is indicated by color and si... by Jordan K. Abbott (8934239)

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Thioflavin-T (ThT) fluorescence analysis of amyloid fibril formation in wild-type and p.R163C mutant αB-crystallin under thermochemical stress. by Aref Baharvand (21713886)

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Root-mean-square fluctuation (RMSF) analysis of wild-type and p.R163C mutant αB-crystallin dimers from molecular dynamics simulations. by Aref Baharvand (21713886)

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Flow diagram illustrating the sequence of procedures executed during one time step defined as tick, each of which represents one week. by Alexandra M. Campbell (3284094)

<i>FVC</i> change of southern observation line. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

<i>FVC</i> change of the northern observation line. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

Met increases AMPK activation in proliferating C2C12. by Eleonora Maniscalco (14599854)

Time series change of <i>FVC</i> in each analysis area. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”