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To confront and evaluate numerical instability when using the forward Euler method (justified in Text S2), I additionally propose a novel pair of elastic elements to link a series of rigid segments that model a continuous filament.
Additionally, we propose a novel and efficient priority mechanism.
Additionally, we propose a modified expectation maximization algorithm to train the proposed model.
Additionally, we propose a novel hypothesis on the effectiveness of firm's interaction modes.
Additionally, we propose a complementary methodical process for the dysfunctional analysis of the obtained functional model.
Additionally, we propose a performance model to characterize these variable capacity (elastic) cluster environments.
Additionally, we propose an implementation of OBQA in a feasible switch architecture.
Additionally, we propose two more relaxed properties that also ensure a global GSI level.
Additionally, we propose a Service Resolving Bundle to complement the drawbacks of OSGi mechanisms.
Additionally, we propose a new approach to estimate background model from video sequences.
Additionally, we propose here a complementary formulation belonging to the first kind of models, which assumes that the empirical distributions could be the stationary states of processes happening at time scales much faster than the seasonal variations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com