Industrial revolutions: from canal systems to computer networks

LectureToday's so-called "Information Revolution" is often compared to past industrial revolutions, especially a British Industrial Revolution which took place between 1750 and 1830 and a Second Industrial Revolution which is believed to have occurred in the United States between 1880 and 1940. The comparison, however, remains vague, because we are not informed about the nature of industrial revolutions to which the Information Revolution is compared

Patterns of interdivision time correlations reveal hidden cell cycle factors

The time taken for cells to complete a round of cell division is a stochastic process controlled, in part, by intracellular factors. These factors can be inherited across cellular generations which gives rise to, often non-intuitive, correlation patterns in cell cycle timing between cells of different family relationships on lineage trees. Here, we formulate a framework of hidden inherited factors affecting the cell cycle that unifies known cell cycle control models and reveals three distinct interdivision time correlation patterns: aperiodic, alternator and oscillator. We use Bayesian inference with single-cell datasets of cell division in bacteria, mammalian and cancer cells, to identify the inheritance motifs that underlie these datasets. From our inference, we find that interdivision time correlation patterns do not identify a single cell cycle model but generally admit a broad posterior distribution of possible mechanisms. Despite this unidentifiability, we observe that the inferred patterns reveal interpretable inheritance dynamics and hidden rhythmicity of cell cycle factors. This reveals that cell cycle factors are commonly driven by circadian rhythms, but their period may differ in cancer. Our quantitative analysis thus reveals that correlation patterns are an emergent phenomenon that impact cell proliferation and these patterns may be altered in disease

Gingival Changes Following Scaling, Root Planing and Oral Hygiene—A Biometric Evaluation

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141193/1/jper0245.pd