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1 cing and the physiological parameters controlled by stomata were strongly correlated with Anatomical g(smax).
2 cing and the physiological parameters controlled by stomata were strongly correlated with Anatomical g(smax).
5 on network analysis (WGCNA) identified several modules that were strongly correlated with different stages of cardiomyocy
6 significantly elevated compared with healthy controls, and were strongly correlated with disease severity.
7 Stiffness values derived by each reading center were strongly correlated with each other (r = 0.83).
8 .8+/-4.7% and 52.1+/-13.4%, respectively) and these changes were strongly correlated with each other (r=0.81, P<0.001), i
9 e slope of the daily range of psi as pre-dawn psi declined, were strongly correlated with each other and with the leaf os
10 d in liver sections, PRMT1, c-Myc, and M2 macrophage levels were strongly correlated with each other.
12 Frequencies of five alleles at these loci were strongly correlated with environmental factors, particul
13 I(h) activation slow time constants (slow tau values) were strongly correlated with fast tau values; both were shor
14 found that the measured pupillary and behavioral variables were strongly correlated with global changes in the strength
15 icular dysfunction in SKO mice, and these two abnormalities were strongly correlated with hyperglycemia.
16 Acute behavioral and physiological responses to sedation were strongly correlated with immune responses to vaccination
17 groups 2, 3, 4, and 5 were not; however, groups 2, 4 and, 5 were strongly correlated with immunohistochemistry 0/1+ statu
18 Among accrued patients, FISH group 1 breast cancers were strongly correlated with immunohistochemistry 3+ status
19 it level, irradiance-dependent increases in baseline firing were strongly correlated with improvements in the amplitude o
21 ence of halite, sodium sulfates, and sodium carbonates that were strongly correlated with kappa underscoring the role tha
23 MAP17 levels increased with breast tumor stage and were strongly correlated with mammary tumoral progression.
24 Automated margin reflex distance 2 measurements were strongly correlated with manual measurements (r = 0.96;
25 rticipants, automated margin reflex distance 1 measurements were strongly correlated with manual measurements (r = 0.97;
27 d BC concentrations measured at LUR sites all over the city were strongly correlated with measured concentrations at a fi
28 lso declined with productivity, and consumer concentrations were strongly correlated with MeHg concentrations in primary
29 Our analysis showed that variations in CO 2 fluxes were strongly correlated with microbial biomass pools, soil C
30 suicide completers with no history of child abuse, and they were strongly correlated with myelin gene expression changes
31 ristics were consistent across all tests and IVOC emissions were strongly correlated with nonmethane hydrocarbons (NMHCs)
32 Parameters derived by the arterial analysis methods were strongly correlated with one another and displayed simil
35 (GEM) declined by 75%, 75%, 43%, and 13%, respectively, and were strongly correlated with power-plant Hg emissions from t
39 The total element content of honey samples were strongly correlated with the electrical conductivity, bu
40 ions using the standard, empirical-Bayes, and 2-stage tests were strongly correlated with the exposure among controls.
41 g S100B levels in patients with active depigmentation which were strongly correlated with the extent of affected skin sur
43 Changes in (18)F-fluciclovine avidity were strongly correlated with the percentage of reduction of
44 al analysis revealed that three genes, NRG1, MST1 and NAT9, were strongly correlated with the progression of S. aureus su
45 microbial communities showed considerable differences that were strongly correlated with the source of the serpentinizin
46 g/mL (95% CI: 5.4, 5.9 ng/mL), respectively; P = 0.044] and were strongly correlated with total 25(OH)D without an effect
47 Ruminant-associated marker concentrations were strongly correlated with total intestinal Bacteroidetes
48 cles were presumably diesel trucks or buses, because plumes were strongly correlated with truck traffic volume.
49 wed that FRAP values (0.54-0.76 mmol Fe(2+) per 100g honey) were strongly correlated with UMF ratings (R(2)=0.977) and to
50 High water MeHg concentrations in thaw ponds were strongly correlated with variables associated with high
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