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Umbilical cord prolapse should always be considered a possibility when there is a sudden decrease in fetal heart rate or variable decelerations, particularly after the rupture of membranes. With overt prolapses, the diagnosis can be confirmed if the cord can be felt on vaginal examination.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Nuchal cord, when the umbilical cord is (tightly) around the neck of the fetus [2]; Entanglement of the cord [2]; Knot in the cord [2]; Cord prolapse, where the umbilical cord exits the birth canal before the baby, which can cause cord compression.
While a variable or function may be declared many times, it is typically defined once (in C++, this is known as the One Definition Rule or ODR). Dynamic languages such as JavaScript or Python generally allow functions to be redefined, that is, re-bound; a function is a variable much like any other, with a name and a value (the definition).
When variable decelerations are associated with uterine contractions, their onset, depth, and duration commonly vary with successive uterine contractions. [citation needed] Prolonged deceleration: a decrease in FHR from baseline of at least 15 bpm, lasting at least 2 minutes but less than 10 minutes. A deceleration of at least 10 minutes is a ...
Deceleration ramp down — positive jerk limit; linear increase in acceleration to zero; quadratic decrease in velocity; approaching the desired position at zero speed and zero acceleration Segment four's time period (constant velocity) varies with distance between the two positions.
Consequently, progress bars often exhibit non-linear behaviors, such as acceleration, deceleration, and pauses. These behaviors, coupled with humans' non-linear perception of time passing, produces a variable perception of how long progress bars take to complete. [4] This also means that progress bars can be designed to "feel" faster.
The tslearn Python library implements DTW in the time-series context. The cuTWED CUDA Python library implements a state of the art improved Time Warp Edit Distance using only linear memory with phenomenal speedups. DynamicAxisWarping.jl Is a Julia implementation of DTW and related algorithms such as FastDTW, SoftDTW, GeneralDTW and DTW barycenters.