How to Best Predict the Daily Number of New Infections of Covid-19. (arXiv:2004.03937v1 [cs.SI]) http://arxiv.org/abs/2004.03937
An information theory-based approach for optimal model reduction of biomolecules. (arXiv:2004.03988v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2004.03988
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. (arXiv:2004.04019v1 [stat.OT]) http://arxiv.org/abs/2004.04019
Estimating the number of COVID-19 infections in Indian hot-spots using fatality data. (arXiv:2004.04025v1 [q-bio.PE]) http://arxiv.org/abs/2004.04025
How do eyes and brain search a randomly structured uninformative scene? Exploiting a basic interplay of attention and memory. (arXiv:2004.02873v1 [q-bio.NC]) http://arxiv.org/abs/2004.02873
Testing quantum speedups in exciton transport through a photosynthetic complex using quantum stochastic walks. (arXiv:2004.02938v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2004.02938
Protocol for an Observational Study on the Effects of Social Distancing on Influenza-Like Illness and COVID-19. (arXiv:2004.02944v1 [q-bio.PE]) http://arxiv.org/abs/2004.02944
The geographic spread of COVID-19 correlates with structure of social networks as measured by Facebook. (arXiv:2004.03055v1 [physics.soc-ph]) http://arxiv.org/abs/2004.03055
Time-evolving controllability of effective connectivity networks during seizure progression. (arXiv:2004.03059v1 [q-bio.NC]) http://arxiv.org/abs/2004.03059
Critical community size for COVID-19 -- a model based approach to provide a rationale behind the lockdown. (arXiv:2004.03126v1 [q-bio.PE]) http://arxiv.org/abs/2004.03126
Prediction of COVID-19 Disease Progression in India : Under the Effect of National Lockdown. (arXiv:2004.03147v1 [q-bio.PE]) http://arxiv.org/abs/2004.03147
Multilingual enrichment of disease biomedical ontologies. (arXiv:2004.03181v1 [q-bio.QM]) http://arxiv.org/abs/2004.03181
The Impact of Public Safety Measures on the Spread of COVID-19 in the United States Assessed By Causal Model-Based Projections of the Pandemic. (arXiv:2004.03200v1 [q-bio.PE]) http://arxiv.org/abs/2004.03200
PolyLinkR: A linkage-sensitive gene set enrichment R package. (arXiv:2004.03224v1 [q-bio.GN]) http://arxiv.org/abs/2004.03224
Characterizing Halloumi cheese bacterial communities through metagenomic analysis. (arXiv:2004.01710v1 [q-bio.GN]) http://arxiv.org/abs/2004.01710
Analyzing the World-Wide Impact of Public Health Interventions on the Transmission Dynamics of COVID-19. (arXiv:2004.01714v1 [q-bio.PE]) http://arxiv.org/abs/2004.01714
Accounting for Symptomatic and Asymptomatic in a SEIR-type model of COVID-19. (arXiv:2004.01805v1 [q-bio.PE]) http://arxiv.org/abs/2004.01805
A Diffusion-Based Embedding of the Stochastic Simulation Algorithm in Continuous Space. (arXiv:2004.01810v1 [physics.chem-ph]) http://arxiv.org/abs/2004.01810
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach. (arXiv:2004.01819v1 [q-bio.GN]) http://arxiv.org/abs/2004.01819
Neurosciences and 6G: Lessons from and Needs of Communicative Brains. (arXiv:2004.01834v1 [eess.SP]) http://arxiv.org/abs/2004.01834
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