We found that small phase divergences of +/− 3 hr (covering 28.3% of all duplicates) tended to be enriched relative to random expectation, in particular at ZT0/ZT3 and ZT12/ZT15, although the identical phase state is still the most highly enriched scenario.
That's why it's important to think about group problem solving in two phases: divergence and convergence.
In their publications, such code-phase divergences (code bias variations) have been characterized as orbit type-, frequency-, and elevation-dependent.
Since these code bias variations put code-phase divergences of more than 1 m, they can severely affect precise applications using code observations.
Since these systematic biases can result in code-phase divergences of more than 1 m, they can severely affect precise applications using code observations.
The code-phase divergences, which are minimal for GPS, GLONASS, and Galileo satellites, are commonly found in BeiDou Navigation Satellite System (BDS) Geostationary Orbit (GEO), Inclined GeoSynchronous Orbit (IGSO) and Medium Earth Orbit (MEO) satellites.
The initial power law phase of divergence lasts longer in this case.
Our analysis substantiates earlier findings that protein evolution is mainly governed by the structure of the genetic code in the early phase after divergence and by the conservation of physico-chemical properties at the later phase.
The computed results indicated that the surface divergence model accurately predicts kt in magnitude with a phase difference.
Our work first discovers the phase-dependent divergence of biological investment in the molecular level and highlights related genes and pathways.
