This brief essay reviews an approach to defining and then detecting the emergence of complexity in nonlinear processes. It is, in fact, a synopsis of Reference [1] that leaves out the technical ...

Author summaryV. vulnificus is one of the deadliest waterborne pathogens in the world. It is a bacterium that is transmitted in aquatic settings and causes a serious human infection that can often end ...

Synopsis Many organisms exhibit collecting and gathering behaviors as a foraging and survival method. Benthic macroinvertebrates are classified as collector-gatherers due to their collection of ...

In contrast with robust systems that resist noise or fragile systems that break with noise, antifragility is defined as a property of complex systems that benefit from noise or disorder. Here we ...

Identifying novel topological properties of topological quantum states of matter, such as exemplified by the quantized Hall conductance, is a valuable step towards realizing materials with attractive ...

Ibuka, Y.,Chapman, G. B.,Meyers, L. A.,Li, M.,Galvani, A. P. Background: The trajectory of an infectious disease outbreak is affected by the behavior of individuals ...

Drugs can impact the gut microbiome. Here, Algavi and Borenstein developed a machine-learning framework that successfully predicts the impact of thousands of drugs on hundreds of gut microbes, ...

Belief dynamics has an important role in shaping our responses to natural and societal phenomena, ranging from climate change and pandemics to immigration and conflicts. Researchers often base their ...

Transcription factor binding sites (TFBSs) are important sources of evolutionary innovations. Understanding how evolution navigates the sequence space of such sites can be achieved by mapping TFBS ...

It is generally believed (but not yet proved) that Ising spin glasses with nearest-neighbor interactions have a phase transition in three and higher dimensions to a low-temperature spin glass phase, ...

The duration of the quasistationary states (QSSs) emerging in the d-dimensional classical inertial alpha Heisenberg model, i.e., N three-dimensional rotators whose interactions decay with distance ...

Identifying effective treatments and policies early in a pandemic is challenging because only limited and noisy data are available and biological processes are unknown or uncertain. Consequently, ...