نتایج جستجو برای: ascent and descent formulation computational aspect
تعداد نتایج: 16870083 فیلتر نتایج به سال:
The aim of the study was to investigate differences in frontal plane knee kinetics, onset timing and duration of the gluteus medius (GMed), adductor longus (AL), and vastus medialis oblique (VMO) during stair ambulation between those with and without patellofemoral pain syndrome (PFPS). Twenty PFPS patients and twenty healthy participants completed stair ambulation while surface electromyograph...
With a language of poem, allegory and elegant sentences, Rumi attempts to explore meaning and its causes, consequences and finally some solutions for its remedy in his own works. For him, human has a divine identity from which he has been cast away because of descent and has been involved in self-oblivion. What makes this initial mandatory oblivion more severe is dependence and association with...
Surface networks capture the topological relations between passes of a continuous surface, the paths of steepest descent and ascent starting at the passes, and the pits and peaks where the steepest paths end. This paper extends the topology of the network in three ways. Objects at the edge of the surface model are introduced. Horizontal areas may represent passes, pits, or peaks, and therefore ...
Radiographic imaging of magma dynamics in a volcanic conduit provides detailed information about ascent and descent of magma, the magma flow rate, the conduit diameter and inflation and deflation of magma due to volatile expansion and release. Here we report the first radiographic observation of the ascent and descent of magma along a conduit utilizing atmospheric (cosmic ray) muons (muography)...
The autologous vascularised free fibula flap is currently considered the best option for facial reconstruction after oncological surgery, but its donor-site morbidity has not been fully examined. purpose was to evaluate changes in temporal and spatial kinematic gait parameters during stair climbing, as well symmetry. Fourteen patients (48 ± 16 years) were evaluated before six months harvest of ...
Although optimization can be done very efficiently using gradient-based optimization these days, Bayesian inference or probabilistic sampling has been considered to be much more difficult. Stein variational gradient descent (SVGD) is a new particle-based inference method derived using a functional gradient descent for minimizing KL divergence without explicit parametric assumptions. SVGD can be...
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