Sentence examples for cnm I from inspiring English sources

Homerton turned him down "on suspicion of Sandemanianism" (CNM I, 41).

One of Godwin's earliest memories was of composing a poem entitled 'I wish to be a minister' (CNM I, 15), and a favourite childhood entertainment was to preach sermons in the kitchen on Sunday afternoons.

Godwin remained a religious enthusiast and dissenter — preaching to his fellow schoolchildren, identifying some as 'children of the devil', and refusing to answer questions on the Collect of the week, taken from the Book of Common Prayer (CNM I, 24).

Newton was deeply influenced by the writings of Robert Sandeman (1718 1771), a hyper-Calvinist who, scorned faith and presented God as saving or damning a person solely "according to the right or wrong judgment of the understanding" (CNM I, 30).

('Autobiography' in Collected Novels and Memoirs (CNM), 1992, I, 12).

The particle number concentrations measured for each of the eight CNMs and laboratory tasks/processes (i.e., weighing/handling CNMs and sonicating CNMs in aqueous suspensions) are presented in Table 1.

They show that SERCA function is greatly impaired in this model and that the soleus and gluteus minimus muscles, which normally contain many type I fibers, from PlnOE mice exhibit phenotypes that resemble human CNM including centrally located nuclei, type I fiber predominance, central aggregation of oxidative activity and weakness.

They show that SERCA function is greatly impaired in this model and that the soleus and gluteus minimus muscles, which normally contain many type I fibers, from Pln OE mice exhibit phenotypes that resemble human CNM including centrally located nuclei, type I fiber predominance, central aggregation of oxidative activity and weakness.

To show the performance of IDRN with different community prior from various community detection algorithms, we combine IDRN with different community detection algorithms, i.e., the CNM algorithm [37], the Louvain algorithm [40], the MMO algorithm [41] and the label propagation algorithm (LPA) [42].

Importantly, despite these limitations, we were still able to show a 53% reduction in SERCA activity and the expression patterns of the SERCA isoforms, SLN and PLN are consistent with the expected type I fiber predominance often found in CNM.

We found a significant difference (P = 0.0004) between the mean transformed FST values of combined MRESS and CNM SNPs (n = 2448) and the remaining (i.e. non-MRESS or non-CNM) 3'UTR SNPs (n = 19906) for which FST data were available.