Exact(2)
Mouse models are key elements to better understand the genotype phenotype relationship and the physiopathology of Down syndrome (DS).
Identifying actual pairing processes operating in human populations seems particularly difficult, but replicating this study in human populations for which mate choice is not mutual should bring decisive elements to better understand the observed sex discrepancy.
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In order to visualize the spatial relationship between Lis1 and dynein's multiple structural elements and to better understand the mechanism by which Lis1 regulates dynein, we used cryo-negative stain (cryo-NS) EM and single-particle image processing to obtain the 3D structure of the dynein Lis1 complex.
This study utilizes three dimensional finite element modeling to better understand the main parameters that affect the response of laterally loaded pile groups (2 × 2 and 3 × 3 pile configurations) including sand relative density, pile spacing (s = 2.5 D, 5 D and 8 D) and pile location within the group.
Unpacking the interactive and reciprocal relationships between these elements allows us to better understand how particular PD programs work and what makes them more or less effective with respect to their learning goals.
Analytical models including Bernoulli Euler model of a beam resting on an elastic foundation and the Timoshenko and Flügge tube models as well as finite element tools helped to better understand the transient resonant regimes in launcher components and offered insight on how to alter the launching device materials and geometry to reduce the critical-velocity effects.
Mutations affecting specific splicing regulatory elements offer suitable models to better understand their interplay and to devise therapeutic strategies.
Furthermore we will use the NPT in the evaluation of the process of implementing each of the elements in the intervention, to better understand the evaluation of the effect of the intervention.
There is much to learn about the potential impacts and optimal design of digital credit in emerging markets; a rigorous evidence base is urgently needed to better understand elements of this sector at scale.
We conclude that the presented approach allows for embedding realistic fascicle information into finite element models of skeletal muscles to better understand the functioning of the musculoskeletal system.
Finite element modelling has been used to better understand the behaviour of different wave modes when they interact with defects, focusing on the mode conversions and reflections that occur.
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