In very rough terms, the idea was to single out a collection of theories (a transfinite progression of systems of ramified second order arithmetic indexed by ordinals) by means of which to characterise a certain notion of predicative ordinal.
Progression of systems biology will depend on the parallel development of top-down approaches, to identify essential environmental systems, link components within these systems, and quantitate impacts on human health.
Table 1 summarizes the progression of the systems used in the previous versions of COACH.
Disruption of the ALP is a common hallmark of lysosomal storage diseases and several have documented alterations in the nervous system, which may contribute in part to the onset and progression of nervous system pathophysiology [ 13].
No available treatments slow or halt progression of multiple system atrophy, which is a rare, progressive, fatal neurological disorder.
Sensor analysis in healthy and diseased brains might reveal important differences and shed light on the development and progression of nervous system disorders.
The simulation results show that in a finite time, the largest progression of the system is found to occur for period-1 multi-impact motions existing in the regions of low forcing frequencies.
Therefore, as a key factor in development and progression of nervous system diseases described above, Nogo-A may serve as potential therapeutic targets of various diseases, especially the PD.
Loss of KLF4 is critical for the pathogenesis and progression of digestive system tumours, including hepatic, gastric, colorectal and pancreatic cancer (Wei et al, 2005; Kanai et al, 2006; Wei et al, 2008; Li et al, 2011, 2012).
Systemic lupus erythematosus (SLE) is a multisystem autoimmune disease with a wide range of clinical manifestations. 1 2 Disease activity and rate of progression of organ system damage varies widely among patients with SLE. 3 Owing to this heterogeneity, accurate prognosis in individual patients is difficult, and development of new therapies has been challenging.
VBSSM is a dynamic Bayesian network inference algorithm that uses linear Gaussian state-space models to help reverse-engineer interactions between proteins or transcriptional networks from time series data, thereby explicitly modelling the progression of a system over a multi-step time course.
