Loss of KLP-7/kinesin-13 or ZYG-9/chTOG increases sub-cortical microtubules in <i>cls-2(or1948)</i> oocytes. by Alyssa R. Quiogue (17081666)

Analysis of the Path Effects of Burnout and Resilience on  Stress Specific to COVID-19 and PTS via Multiple Linear Regressions, with Standardized Beta Coefficients (Standard Error)... by Rachel G. Baskin (22127334)

Model properties versus <i>N</i> for small <i>N</i>. by Valdemar Kargård Olsen (18496122)

Model properties versus <i>N</i> for large <i>N</i>. by Valdemar Kargård Olsen (18496122)

Entropies, KL divergences and <i>G</i> versus <i>N</i>. by Valdemar Kargård Olsen (18496122)

Degradation pathway of NIF <i>via</i> UV/H₂O₂ system. by Wenping Dong (3854437)

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Chromatography of the intermediate products of NIF <i>via</i> UV/H₂O₂. by Wenping Dong (3854437)

Subjects:

Predicted SIR dynamics capture the true dynamics and the 95% CIs narrow as the number of focal individuals <i>F</i> increases. by Beth M. Tuschhoff (19251419)

When profitability is equated, starlings prefer larger–later alternatives. by Tiago Monteiro (414352)

“…Long-term rate of returns R in which the time in the ITI is given the same decision weight as the delay between response and outcome (R = amount/(ITI + delay); equivalent to the slope of the dashed lines) and profitability as in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3000841#pbio.3000841.g001" target="_blank">Fig 1b</a> (slope of solid lines). Inset shows <i>R</i>² of linear regressions between observed preference ranking (mean across animals, <i>n</i> = 9) and long-term estimated rate of returns when the common ITI is given a discounted weight (R = amount / (<i>w</i><b><i>*</i></b>ITI + delay), computed with increasing <i>w</i>); note that the strongest predictive power is for a long-term rate computation that includes an 8% weight of the ITI. …”

Fecal bacteria transplantation can replicate the effects of aerobic exercise, resulting in an increase in beneficial bacteria and the inhibition of atherosclerosis. by Jie Men (10983440)

Presentation_1_Stirring, Mixing, Growing: Microscale Processes Change Larger Scale Phytoplankton Dynamics.pdf by Francesco Paparella (131907)

“…<p>The quantitative description of marine systems is constrained by a major issue of scale separation: phytoplankton production processes occur at sub-centimeter scales, while the contribution to the Earth's biogeochemical cycles is expressed at much larger scales, up to the planetary one. In spite of vastly improved computing power and observational capabilities, the modeling approach has remained anchored to an old view that sees the microscales as unable to substantially affect larger ones. …”

Weak cis binding affinity leads to formation of larger clusters. by Qilin Yu (405703)

Mean speed, diffusion coefficient, and mean adhesive area change by increasing <i>p</i>_<i>s</i> and λ_<i>adh</i>. by Leonie van Steijn (10142786)

Treatment with IL-1RA does not induce cell death in IL1R1 reporter cell line. by Dylan J. Finneran (5613065)

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S1 Data - by Cam M. K. Rechenmacher (14041010)

Fig 1 - by Cam M. K. Rechenmacher (14041010)

S1 Dataset - by Tipaluck Krityakierne (12666825)

Strength of the couplings <i>J</i>_<i>ij</i> within and between visual and auditory cortices. by Valdemar Kargård Olsen (18496122)

Model 3.1. by A. Miklashevsky (13020830)

Model 1.3. by A. Miklashevsky (13020830)