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Multiple sclerosis (MS) is a chronic, multifocal, immunomediated inflammatory demyelinating and degenerative disorder of the central nervous system of unknown aetiology.
This had the ambition of providing universal guidelines that would facilitate a preventive approach, rather than the reactive approach based on accident history (i.e. designing a system known to be safe, rather than reacting to events in a system of unknown safety).
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system of unknown etiology with both genetic and environmental factors playing a role in susceptibility.
In conclusion, our clinical, morphological and immunological data support the existence of a possibly autoimmune-mediated inflammatory disease of the pancreato-biliary system of unknown cause, so-called autoimmune pancreatocholangitis (AIPC).
Multiple sclerosis (MS) is a demyelinating disease of the central nervous system of unknown etiology and poorly understood pathogenesis.
Chronic nonbacterial osteomyelitis (CNO) is an inflammatory, non-infectious disorder of the musculoskeletal system of unknown etiology.
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The approach is also applicable to systems of unknown, but bounded dimension.
Through this procedure and the iterative increase of the polynomial degree, systems of unknown nonlinear structure can be approximated.
MS is a chronic inflammatory disease of the central nervous system (CNS) of unknown origin causing demyelination and axonal degeneration [1].
The variants of S9 from child-3 and child-4 exhibited two different allelic combinations (H10b-G8a and H10b-G6a) andiffereded by four CDSs coding for genes of the R-M system or of unknown function.
A design method of model reference adaptive formation control of multi-agent systems composed of unknown linear processes is presented in this paper.
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