@article{9349,
  abstract     = {The way in which interactions between mechanics and biochemistry lead to the emergence of complex cell and tissue organization is an old question that has recently attracted renewed interest from biologists, physicists, mathematicians and computer scientists. Rapid advances in optical physics, microscopy and computational image analysis have greatly enhanced our ability to observe and quantify spatiotemporal patterns of signalling, force generation, deformation, and flow in living cells and tissues. Powerful new tools for genetic, biophysical and optogenetic manipulation are allowing us to perturb the underlying machinery that generates these patterns in increasingly sophisticated ways. Rapid advances in theory and computing have made it possible to construct predictive models that describe how cell and tissue organization and dynamics emerge from the local coupling of biochemistry and mechanics. Together, these advances have opened up a wealth of new opportunities to explore how mechanochemical patterning shapes organismal development. In this roadmap, we present a series of forward-looking case studies on mechanochemical patterning in development, written by scientists working at the interface between the physical and biological sciences, and covering a wide range of spatial and temporal scales, organisms, and modes of development. Together, these contributions highlight the many ways in which the dynamic coupling of mechanics and biochemistry shapes biological dynamics: from mechanoenzymes that sense force to tune their activity and motor output, to collectives of cells in tissues that flow and redistribute biochemical signals during development.},
  author       = {Lenne, Pierre François and Munro, Edwin and Heemskerk, Idse and Warmflash, Aryeh and Bocanegra, Laura and Kishi, Kasumi and Kicheva, Anna and Long, Yuchen and Fruleux, Antoine and Boudaoud, Arezki and Saunders, Timothy E. and Caldarelli, Paolo and Michaut, Arthur and Gros, Jerome and Maroudas-Sacks, Yonit and Keren, Kinneret and Hannezo, Edouard B and Gartner, Zev J. and Stormo, Benjamin and Gladfelter, Amy and Rodrigues, Alan and Shyer, Amy and Minc, Nicolas and Maître, Jean Léon and Di Talia, Stefano and Khamaisi, Bassma and Sprinzak, David and Tlili, Sham},
  issn         = {1478-3975},
  journal      = {Physical biology},
  number       = {4},
  publisher    = {IOP Publishing},
  title        = {{Roadmap for the multiscale coupling of biochemical and mechanical signals during development}},
  doi          = {10.1088/1478-3975/abd0db},
  volume       = {18},
  year         = {2021},
}

@article{8597,
  abstract     = {Error analysis and data visualization of positive COVID-19 cases in 27 countries have been performed up to August 8, 2020. This survey generally observes a progression from early exponential growth transitioning to an intermediate power-law growth phase, as recently suggested by Ziff and Ziff. The occurrence of logistic growth after the power-law phase with lockdowns or social distancing may be described as an effect of avoidance. A visualization of the power-law growth exponent over short time windows is qualitatively similar to the Bhatia visualization for pandemic progression. Visualizations like these can indicate the onset of second waves and may influence social policy.},
  author       = {Merrin, Jack},
  issn         = {1478-3975},
  journal      = {Physical Biology},
  number       = {6},
  publisher    = {IOP Publishing},
  title        = {{Differences in power law growth over time and indicators of COVID-19 pandemic progression worldwide}},
  doi          = {10.1088/1478-3975/abb2db},
  volume       = {17},
  year         = {2020},
}