Multiary complex formations in GPCR signaling activations. (arXiv:2004.07440v1 [q-bio.MN]) http://arxiv.org/abs/2004.07440
A mesoscopic model for the collective dynamics of water coherence domains. (arXiv:2004.07545v1 [cond-mat.soft]) http://arxiv.org/abs/2004.07545
Why A Large Scale Mode Can Be Essential For Understanding Intracellular Waves. (arXiv:2004.07548v1 [q-bio.CB]) http://arxiv.org/abs/2004.07548
The nonlinear initiation of side-branching by activator-inhibitor (Turing) morphogenesis. (arXiv:2004.07549v1 [nlin.PS]) http://arxiv.org/abs/2004.07549
New Approach for Designing cVEP BCI Stimuli Based on Superposition of Edge Responses. (arXiv:2004.06766v1 [q-bio.NC]) http://arxiv.org/abs/2004.06766
The sleep loss insult of Spring Daylight Savings in the US is absorbed by Twitter users within 48 hours. (arXiv:2004.06790v1 [q-bio.QM]) http://arxiv.org/abs/2004.06790
The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities. (arXiv:2004.06821v1 [q-bio.PE]) http://arxiv.org/abs/2004.06821
The Tajima heterochronous n-coalescent: inference from heterochronously sampled molecular data. (arXiv:2004.06826v1 [q-bio.PE]) http://arxiv.org/abs/2004.06826
The Estimation of the Effective Reproductive Number from Disease Outbreak Data. (arXiv:2004.06827v1 [q-bio.PE]) http://arxiv.org/abs/2004.06827
Real-Time Differential Epidemic Analysis and Prediction for COVID-19 Pandemic. (arXiv:2004.06888v1 [q-bio.PE]) http://arxiv.org/abs/2004.06888
"Stay Nearby or Get Checked": A Covid-19 Lockdown Exit Strategy. (arXiv:2004.06891v1 [cs.SI]) http://arxiv.org/abs/2004.06891
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi. (arXiv:2004.06916v1 [q-bio.PE]) http://arxiv.org/abs/2004.06916
Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems. (arXiv:2004.06950v1 [physics.comp-ph]) http://arxiv.org/abs/2004.06950
Social network-based distancing strategies to flatten the COVID 19 curve in a post-lockdown world. (arXiv:2004.07052v1 [physics.soc-ph]) http://arxiv.org/abs/2004.07052
Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence. (arXiv:2004.06107v1 [q-bio.QM]) http://arxiv.org/abs/2004.06107
Open Data Resources for Fighting COVID-19. (arXiv:2004.06111v1 [q-bio.OT]) http://arxiv.org/abs/2004.06111
Reports of Own and Others' Symptoms and Diagnosis on Social Media Predict COVID-19 Case Counts in Mainland China. (arXiv:2004.06169v1 [cs.SI]) http://arxiv.org/abs/2004.06169
Embedded model discrepancy: A case study of Zika modeling. (arXiv:2004.06220v1 [q-bio.PE]) http://arxiv.org/abs/2004.06220
Modeling, state estimation, and optimal control for the US COVID-19 outbreak. (arXiv:2004.06291v1 [q-bio.PE]) http://arxiv.org/abs/2004.06291
Group Testing for COVID-19: How to Stop Worrying and Test More. (arXiv:2004.06306v1 [stat.ME]) http://arxiv.org/abs/2004.06306
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