The variational modulus density theory explains mechanical responses of cell membranes and membrane crosslinkers par Jichul Kim (20472188)

“…<p dir="ltr">Matlab codes and raw data for the paper entitled "The variational modulus density theory explains mechanical responses of cell membranes and membrane crosslinkers" by Jichul Kim (2025, Scientific Reports).…”

R Script for RSTB-2018-0547 from Linking thermal adaptation and life-history theory explains latitudinal patterns of voltinism par Jacinta D. Kong (6656810)

“…R script for the article ‘Linking thermal adaptation and life history theory explains latitudinal patterns of voltinism’ containing the main statistical analyses…”

<i>Warramaba</i> phenology observations from Linking thermal adaptation and life-history theory explains latitudinal patterns of voltinism par Jacinta D. Kong (6656810)

2005-2006 egg development data from Linking thermal adaptation and life-history theory explains latitudinal patterns of voltinism par Jacinta D. Kong (6656810)

2016 <i>Warramaba</i> egg development from Linking thermal adaptation and life-history theory explains latitudinal patterns of voltinism par Jacinta D. Kong (6656810)

Table 1_Psychological pathways in enterprise participation in university-industry collaboration: how does social cognitive theory explain participation willingness?.xlsx par Jun Liu (42548)

2016 <i>Warramaba</i> flavolineata egg diapause from Linking thermal adaptation and life-history theory explains latitudinal patterns of voltinism par Jacinta D. Kong (6656810)

“Finding balance through compromising”. A grounded theory explaining evidence-based practice by course leaders in a small-specialist land-based HEI par Nieky van Veggel (8634660)

A QM-AI Approach for the Acceleration of Accurate Assessments of Halogen‑π Interactions by Training Neural Networks par Marc U. Engelhardt (16642483)

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Mechanism of chaos suppression with slowly varying common input. par Rainer Engelken (5266057)

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Suppression of chaos in balanced networks with common vs independent input. par Rainer Engelken (5266057)

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Largest Lyapunov exponent shows different chaos suppression for common vs independent input. par Rainer Engelken (5266057)

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No qualitative difference in chaos suppression by common vs independent input in canonical random networks. par Rainer Engelken (5266057)

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Dynamic mean-field theory captures frequency-dependent effects on the suppression of chaos. par Rainer Engelken (5266057)

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Difference in chaos suppression in sparsely-connected E-I network. par Rainer Engelken (5266057)

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Activity, population firing rate and autocorrelations of balanced networks with common input. par Rainer Engelken (5266057)

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Common input impedes learning in balanced networks. par Rainer Engelken (5266057)

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Difference in chaos suppression increases with network size, tightness of balance, and near the transition to chaos. par Rainer Engelken (5266057)

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Activity, population firing rate and autocorrelations of balanced networks with independent input. par Rainer Engelken (5266057)

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3D visualization of the latent space of the E2M2 model. par Leo D’Amato (21349935)

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