ライフサイエンスコーパス: positive correlation

1 )-epicatechin-3O-gallate as extension units (positive correlation).

2 tion (negative correlation) and temperature (positive correlation).

3 CSF exhibits a statistically significant and positive correlation.

4 gal occurrence whilst the total sugars had a positive correlation.

5 nstants and these parameters identified some positive correlations.

6 PCOS groups exhibited a positive correlation among clinical periodontal paramete

7 y, transcript coexpression analyses revealed positive correlations among BCAA catabolism genes in str

8 In addition, we identify positive correlations among Cdc25A Y59 phosphorylation,

9 Numerous studies have reported positive correlations among couples for height.

10 thin striatal regions of interest revealed a positive correlation between [(18)F]FMT Ki and the basel

11 ations in population abundance, and a strong positive correlation between a species' abundance and it

12 Positive correlation between antibody response to saliva

13 We found a strong positive correlation between BAT activity measured with

14 A clear positive correlation between beta-amyloid deposition and

15 We demonstrated a significant positive correlation between blood and lip tissue DNA me

16 In the VS, we found a positive correlation between BMI and [(11)C]-(+)-PHNO bi

17 ss both sexes, there was a moderately strong positive correlation between BMI and RV mass (men, +0.8

18 There was a positive correlation between body mass index (BMI) and C

19 ollectively, these studies revealed a strong positive correlation between bone remodeling rates, mito

20 e genes were tested via RT-qPCR and a strong positive correlation between both datasets was observed.

21 There was a strong positive correlation between both pathological and SWI g

22 0 different genomic experiments, and found a positive correlation between both RNA polymerase II tran

23 Lastly, we observed a positive correlation between breast milk viral load and

24 We also found a positive correlation between broad isotopic niches and w

25 of directional and categorical tuning, and a positive correlation between category selectivity and ch

26 th the ones with the A. lyrata allele, and a positive correlation between CAX1 expression and Cd tole

27 Clinically, a positive correlation between CCL5 and NK cell marker NKp

28 Positive correlation between CCR4 and MMP2 expression wa

29 A positive correlation between CD4(+) and CD8(+) TSCM freq

30 of clinical specimens uncover a significant positive correlation between CDC42 and type II alveolar

31 Positive correlation between cfDNA and sCD141 was demons

32 als the oxidation of 5mC to 5fC/5caC and the positive correlation between chromatin accessibility and

33 at, when impact factor is partialed out, the positive correlation between citation rate and STARD res

34 Overall, there was a positive correlation between CO2 exposure length and rec

35 f community composition, because there was a positive correlation between community dissimilarity and

36 When adjusted for impact factor, the positive correlation between completeness of reporting a

37 Conclusion There is a positive correlation between completeness of reporting,

38 Dimensional analyses revealed a positive correlation between compulsive behavior (measur

39 Positive correlation between contractile force and GCaMP

40 We show that there is a positive correlation between CP and highly oxidative typ

41 There was a positive correlation between CSF-1 and MMP-8, which both

42 ying endomicroscope positions, we observed a positive correlation between CT and FE imaging as indica

43 However, there was a positive correlation between D1 and D2 receptor binding

44 cement allowed e-MDSet proteins to provide a positive correlation between degree and lethality, conne

45 pes gradually segregate over time leading to positive correlation between density and genetic similar

46 in breast milk and 2 studies that reported a positive correlation between dietary vitamin C and milk

47 f the interaction network, and (ii) a subtle positive correlation between differential gene expressio

48 There was a weak, positive correlation between endotype assignment and sep

49 There was a positive correlation between EPSPS gene copies and its t

50 We found a positive correlation between exacerbation rates and sodi

51 There was a strong positive correlation between exposure concentration and

52 Integrated proteogenomic analysis shows positive correlation between expression measurements fro

53 raction in the caudate tail resulting from a positive correlation between fatigue and brain activatio

54 oxalate excretion averaged 69 mg/day, with a positive correlation between fecal fat and urine oxalate

55 NMR spectroscopy identified a positive correlation between FEV1 and HDLNMR particle si

56 We found a clear, positive correlation between fusion activity and early v

57 data substantiated our findings showing that positive correlation between G9a and p53 expression is a

58 This positive correlation between GA-RR and SR-RR was maintai

59 ow albeit positive, compatible with observed positive correlation between genome size and effective p

60 right hemisphere compared to the left and a positive correlation between gestational age and the lev

61 The observed positive correlation between global biodiversity and con

62 We find a positive correlation between global marine invertebrate

63 Significant positive correlation between grade of dysplasia and TANs

64 The positive correlation between hBD-2 levels and DEFB4 CN o

65 We provide a new evidence to show the positive correlation between HDM2 and HBx in clinical he

66 Rather, a strong positive correlation between Hg concentrations and the m

67 Positive correlation between high TSPO expression in can

68 s study was to determine whether there was a positive correlation between hospital performance on doo

69 A positive correlation between IL-6/MMP-1 and IL-6/MMP-9 w

70 nce interval [CI]: 0.034, 0.157), a moderate positive correlation between impact factor and citation

71 (r = 0.58; 95% CI: 0.535, 0.617), and a weak positive correlation between impact factor and STARD res

72 al and experimental studies suggest a strong positive correlation between increased plasma TMAO conce

73 induced double-flash illusion task and found positive correlation between individual alpha frequency

74 As a positive correlation between intelligence and slow sleep

75 A positive correlation between islet cadmium content and b

76 nding around transcription start sites and a positive correlation between its genomic occupancy and e

77 primary CRC tumor patient databases showed a positive correlation between KCNQ1:KCNE3 channel complex

78 We also observed a positive correlation between KLF11 levels and those of i

79 verity by AHI (r = -0.68, P < 0.0001), and a positive correlation between l-DLPFC GABA levels, but no

80 There was a positive correlation between level of FFAs and level of

81 There was a positive correlation between levels of amyloid load and

82 These data indicate that there is a strong positive correlation between M1 PAM binding affinity and

83 We identified a positive correlation between mean corpuscular haemoglobi

84 However, a strong positive correlation between mesophyll and stomatal cond

85 A positive correlation between microplastic abundance and

86 Our findings suggest a positive correlation between migration distance and new

87 st cancer or metastatic melanoma, we found a positive correlation between miR-214 and ITGA5 or ALCAM

88 A significant positive correlation between NO and ED was also identifi

89 mic analysis of the liver and plasma shows a positive correlation between obesity and hepatic C18 oxy

90 ression and knockdown approaches, we found a positive correlation between OsNAPL6 expression levels a

91 cterial load at 6 months (FMS + CHX) and one positive correlation between P. gingivalis and nitrite a

92 rticle size and wettability (r(2)=-0.75) and positive correlation between particle size and water abs

93 Antioxidant activity showed a positive correlation between phenolic compounds and the

94 We observed a positive correlation between PKCiota and cyclin E in a p

95 vels or left ventricular fibrosis, whereas a positive correlation between plasma Gal-3 levels and inf

96 There was also a positive correlation between probe accumulation and the

97 A positive correlation between protease activity and cytot

98 les of human left atrial myocardium showed a positive correlation between Rac1 activity and 11beta-HS

99 ory retrieval in alpha and beta power, and a positive correlation between retrieval and theta power.

100 A positive correlation between serum LPS, sCD14, sCD163 an

101 A positive correlation between slowly digestible starch (S

102 Over this age range, there was a high positive correlation between small-animal PET findings o

103 The authors identified a weak positive correlation between STARD result and citation r

104 There was positive correlation between subject and parent or guard

105 r synchrony, and more time spent OFF, with a positive correlation between SWA, synchrony, and OFF per

106 r or vehicle treatment, we observed a strong positive correlation between T/B values and tumor glutam

107 Specifically, we find a positive correlation between T187 phosphorylation effici

108 In this study we found a strong positive correlation between the activity of PAK1/2/3 an

109 Finally, a positive correlation between the acute-phase area under

110 Bivariate correlations showed a positive correlation between the Bacteroidetes:Firmicute

111 n oyster colonization model, demonstrating a positive correlation between the biofilm and aggregation

112 lucose and CO(2)/bicarbonate, and there is a positive correlation between the CO(2)/bicarbonate signa

113 There was also a positive correlation between the dose of GBCA administer

114 Our model also predicts a positive correlation between the elongated morphology of

115 And there was positive correlation between the expression of TGF-beta1

116 Our data revealed a strong positive correlation between the fluorescent PCR profile

117 gion with various amino acids, we detected a positive correlation between the hydrophobicity of the h

118 groups were crystalline and that there was a positive correlation between the increased percentage of

119 A strong positive correlation between the levels of FEN1 and Ki-6

120 There was a strong and significant positive correlation between the magnitude of the discre

121 e optimal models using these data unmasked a positive correlation between the maximal conductances of

122 Quantitative PCR showed a positive correlation between the number of Dehalogenimon

123 In addition, there was a positive correlation between the percentage of blacks an

124 cular dynamics simulations revealed a strong positive correlation between the probability of observin

125 y bred and transgenic mouse lines revealed a positive correlation between the propensity to binge dri

126 Of particular interest is that we find positive correlation between the size and heterogeneity

127 ns of this model, there exists a consistent, positive correlation between the strength of selection a

128 Furthermore, the detected positive correlation between the thermostability of PrP(

129 There is a strong positive correlation between the time to initiation of c

130 y-based measures, driven in part by a subtle positive correlation between the transcriptome and conne

131 There was a positive correlation between the uptake of (18)F-TFB in

132 There was a positive correlation between the visfatin levels and P.

133 s within the pons, we observed a significant positive correlation between the white matter integrity

134 We found a positive correlation between the widths of hydrogen and

135 on in the bilateral perisylvian cortex and a positive correlation between this activation and task pe

136 We show a positive correlation between this ratio and whole body o

137 and mutagenesis studies further establish a positive correlation between tolC expression and bacteri

138 hes, we identified shared loci controlling a positive correlation between tooth and taste bud densiti

139 There was a positive correlation between Treg or TGF-beta and MMD Su

140 mmunohistochemical analysis reveals a strong positive correlation between tumor PKCiota expression an

141 e arginine and proline metabolism pathway, a positive correlation between urea-1-carboxylate and AHR

142 In addition, we show a significant positive correlation between weight gain and accumulatio

143 Experiment 1 replicated the positive correlation between WMC and adaptation, but rev

144 d severity of hepatobiliary disease revealed positive correlations between biliary periductal fibrosi

145 Within groups, we further observed positive correlations between cerebellar volume and cere

146 Results All 21 patients had positive correlations between GLC and total GBCA dose (r

147 PCA revealed strong, positive correlations between glucosinolates, isothiocya

148 Despite significant positive correlations between maternal and cord blood gl

149 re were weak, but statistically significant, positive correlations between megafaunal and nodule abun

150 ical mGluR5 availability in PTSD in vivo and positive correlations between mGluR5 availability and av

151 with clinical variables revealed significant positive correlations between neuronal density and age (

152 In the NTG group, there were positive correlations between OPP and both MFV (r = 0.41

153 num results are consistent with the observed positive correlations between peat accumulation rates an

154 rvention and accelerometry studies reporting positive correlations between physical activity and tota

155 There were weak positive correlations between plasma and cerebrospinal f

156 Strong positive correlations between population growth and both

157 There were significant positive correlations between salivary MDA levels and pe

158 ALW and the associated molality may explain positive correlations between SOA and sulfate during SOA

159 Pairwise correlation analysis revealed positive correlations between the amount of AK transcrip

160 Moreover, we found positive correlations between the left fusiform gyrus to

161 veness differs greatly among species, with a positive correlation detected between their inhibitory a

162 noma (FIBma) or healthy individuals, and the positive correlation existed between Bregs and CD4(+) CD

163 A positive correlation existed between decreased phosphory

164 equency of malignancies, showing the highest positive correlation for liver cancer.

165 Strong positive correlations for EF values were found between t

166 th normal tissue types exhibited significant positive correlations for more than 60% of patients, wit

167 uman prostate tissue arrays, we documented a positive correlation in benign tissues of IGF2 levels wi

168 n enamel of wild-type mice but showed strong positive correlation in fluorotic and nonfluorotic Ae2a,

169 differed between groups, with a significant positive correlation in the TCT group and a negative tre

170 Finally, codon occupancy showed strong positive correlations in cycloheximide-treated and untre

171 Positive correlations in diagnostic status were evident

172 In UCB clinical specimens, positive correlations in the expression of SOX2, COX2, a

173 correlations being more common in 5' UTR and positive correlations in the gene 'Body' region.

174 opologically associated domains (TADs) and a positive correlation is found between CTCF binding and t

175 We find positive correlation of 11q22.1-q22.2 amplification with

176 n separately, uncharged FAA exhibited strong positive correlation of AA with hydrophobicity whereas c

177 ns from our hybrid mouse model, we also find positive correlation of allelic gene body methylation wi

178 ll groups showed a statistically significant positive correlation of chemerin with IL-6, glycated hem

179 demonstrated frequent co-overexpression and positive correlation of DARPP-32, SRp20 and CD44E expres

180 Positive correlation of marker gene expression between b

181 egative correlation of salivary leptin and a positive correlation of serum leptin with PD (P <0.05).

182 s, previously recorded in vivo We observed a positive correlation of the firing rate with both proxim

183 oline in patients with NPSLE, as well as the positive correlation of these diffusivities with the sys

184 g of the TWP in winter 2014, we find strong, positive correlations of O3 with multiple biomass burnin

185 increased during ripening and demonstrated a positive correlation on formation of acrylamide (correla

186 A significant positive correlation (P < 0.05) was found between initia

187 and 4-HB concentrations showed a significant positive correlation (p < 0.05), which suggested a commo

188 A significant positive correlation (p<0.0001) (n=54) was noticed betwe

189 h the amount of fusion detected had a strong positive correlation (Pearson) with fractional area chan

190 A significant positive correlation (r 0.95; p<0.05) was observed betwe

191 We found a positive correlation (r = 0.35, p < 0.001) between this

192 A positive correlation (r = 0.37; p < 0.004) between acade

193 Furthermore, there was a significant and positive correlation (r = 0.7, p < 0.003) between data c

194 rage daily fecundity of OFM had an excellent positive correlation (r = 0.86) with the percentages of

195 There was a positive correlation (R = 0.98) between the number of ce

196 A strong positive correlation (R(2) = 0.86) was found to exist be

197 A low positive correlation (r= 0.25) was seen between the COSA

198 discriminant validity, with significant and positive correlations (r = 0.30-0.95) between Functional

199 Primary analysis showed positive correlations (rho approximately 0.2-0.5) betwee

200 itation, it did not significantly affect the positive correlations seen in the winter season.

201 razed treatments with a higher proportion of positive correlations than in non-grazed controls, sugge

202 periventricular PV-immunofluorescence showed positive correlation to the grade of LV stenosis in nona

203 Variables with positive correlation to the neuroimaging variate represe

204 onded strongly to storm track position, with positive correlations to storm track latitude in eastern

205 tal cancer clinical specimens, a significant positive correlation was documented between the expressi

206 CT may increase in obese women and a positive correlation was found between BMI and CT.

207 Positive correlation was found between carbohydrate cont

208 Moreover, no significant positive correlation was found between likelihood conver

209 A positive correlation was found between logMAR visual acu

210 A significant positive correlation was found between the number of pla

211 In 7 of 12 segments, a significant positive correlation was found between the presence of i

212 A positive correlation was found between the total content

213 t activity than those with pale testa, and a positive correlation was found between total phenolic co

214 However, no positive correlation was found with% cocoa solids, the m

215 In pediatric patients with AD, a positive correlation was observed between B-cell/T-cell

216 In addition, a positive correlation was observed between body weight an

217 A significant weak positive correlation was observed between CD4+ counts an

218 did not predict cisplatin sensitivity, but a positive correlation was observed between cisplatin sens

219 Positive correlation was observed between experience and

220 A positive correlation was observed between HIV and syphil

221 A positive correlation was observed between increased NO p

222 A positive correlation was observed between sputum lactate

223 Significant positive correlation was observed between the C2 substit

224 A positive correlation was observed between the scavenging

225 A strong positive correlation was observed with eGI and RDS (r=0.

226 ferent analyses in the study indicate that a positive correlation was present between Aerosol Optical

227 The highest positive correlation was shown between the PA and FFM ob

228 This positive correlation was strengthened by observations sh

229 Positive correlations were also obtained among astringen

230 In the periodontitis group, positive correlations were found among visfatin and IL-8

231 Several significant positive correlations were found between BOP, PI scores,

232 Significant, positive correlations were found between FR levels in tr

233 Positive correlations were found between Hp infection an

234 Significant positive correlations were found between increased fleck

235 Results Positive correlations were found between M value and Ki

236 Overall, positive correlations were found between some key-aroma

237 ratios in differentiating OSAS vs. CONTROLS: Positive correlations were found between: left thalamus

238 Significant positive correlations were noted between the concentrati

239 Positive correlations were observed between activated B-

240 Positive correlations were observed between AWP and CVP

241 Positive correlations were observed between gallic acid

242 The GPi firing frequency showed a positive correlation with 1-year outcome from DBS measur

243 Mouse BALF and human BALF had a strong positive correlation with 2040 metabolites in common, su

244 Acrylamide content has a positive correlation with absorbance values at OD294 and

245 nts with fCCM, the presence of SFCs showed a positive correlation with age (P < .001) and number of b

246 Satiety scores had a positive correlation with all gastrointestinal symptoms.

247 Age had a significant positive correlation with bioavailability in a model tha

248 Bran thickness was found to have a positive correlation with bran starch content.

249 onstrate a significant (r = 0.46, p < 0.002) positive correlation with cancer incidence rates, especi

250 OHIP-14 physical pain dimension had positive correlation with CDH (P <0.05).

251 Tear MUC5AC concentration had significant positive correlation with conjunctival goblet cell densi

252 frontal cortex beneath the anode; showing a positive correlation with consolidated working memory pe

253 l in the blood samples expressed significant positive correlation with Cr and Ni.

254 palmitoleate level exhibited a significantly positive correlation with diastolic interventricular sep

255 , the delta(13)Cleaf and delta(13)Csoil were positive correlation with elevation and latitude, delta(

256 igher in NASH than nonalcoholic fatty liver, positive correlation with fibrosis score and liver stiff

257 and tested for arsenic speciation, showing a positive correlation with field-obtained rice grain.

258 ion termination regions (TTRs) showed strong positive correlation with gene expression within and acr

259 Unextractable polymeric proteins showed a positive correlation with gluten index and LASRC.

260 layed a negative correlation with FALs and a positive correlation with HCs, FFAs and WEs.

261 Gingivitis, however, showed a stronger positive correlation with lactoferrin and IL-1ra and a s

262 eviously demonstrated reduction in EDN1, and positive correlation with MAG:PLP1, in the hypoperfused

263 Imaging features with a positive correlation with ODRS included a well-circumscr

264 hange in BCVA at 3 months showed significant positive correlation with overall change in BCVA (coeffi

265 ADC and (Cit + Spm + Cr)/Cho ratio showed positive correlation with percentage area of lumen (rho

266 eak viscosity and breakdown viscosity showed positive correlation with polymeric protein and negative

267 n the two smaller size fractions displayed a positive correlation with salinity.

268 tion with serum IL-1RA level (P= .012) and a positive correlation with serum IL-1alpha level (P= .000

269 ifferentially expressed genes (SDEGs) showed positive correlation with specific physiological process

270 actions (r = -0.546 to -0.435; P < .034) and positive correlation with stromal fractions (r = 0.619-0

271 oss time points, quantitative Ki-67 had weak positive correlation with SUVmax (R1 = 0.48 [P = 0.03],

272 = 0.045, P = 0.655), exhibited a significant positive correlation with symptom duration.

273 en species (forty-three percent) displayed a positive correlation with the anti-cod PAV polyclonal an

274 CKD273 displayed a significant and positive correlation with the degree of fibrosis (Rho =

275 senting the magnitude of inflammation, has a positive correlation with the development of colitis-ass

276 rrected discordance IOPDCT - IOPGAT showed a positive correlation with the Glaucoma Severity Score (r

277 pectrum red-shift in lambdamax have a strong positive correlation with the metal-ligand (citrate) com

278 ity, and accordingly exhibited a significant positive correlation with the number of Automatic Identi

279 Fruit IB had positive correlation with the PPO activity, but negative

280 he working memory task demonstrated a strong positive correlation with the SCSQ theory of mind (ToM)

281 ateral prefrontal cortex during SAT showed a positive correlation with the severity of delirium.

282 and nonpungent chili pepper fruits showed a positive correlation with the structural genes Ca4H, Com

283 strength of all toxins tested and observed a positive correlation with their inhibition of Cav3.1, su

284 OCC showed positive correlation with total solids, protein, ash, Ca

285 ts, levels of IL-1beta showed a significant, positive correlation with viral load.

286 /RPE-relative intensity showed a significant positive correlation with vitreous haze score (r = 0.535

287 er concentration (R(2) = 0.62) showed strong positive correlations with age.

288 o -0.12; beta-carotene = -0.24 to -0.13) and positive correlations with HDL cholesterol (alpha-carote

289 cells and T-regulatory cells (P = .03), and positive correlations with numbers of Tfh cells (P = .03

290 In contrast, most omega-6 PUFAs exhibited positive correlations with OA, impaired healing, and inf

291 Bound ferulic acid to xylose ratio showed positive correlations with percent large bran particles,

292 abundances of those free-living MGII showed positive correlations with salinity and temperature, sug

293 ion, load and yield and water discharge, but positive correlations with the dissolved organic carbon

294 lex networks during musical imagery, showing positive correlations with the dorsal attention network

295 bioactive IL-22 in psoriasis skin, we found positive correlations with the expression of IL-22-induc

296 GRPS for SCZ showed positive correlations with the number of psychiatric adm

297 The embryonic hepatitis showed positive correlations with the severity of cholecystitis

298 CA slopes measured at the VA had positive correlations with the total and periventricular

299 platelet miRNAs and YRNAs showed significant positive correlations with the vasodilator-stimulated ph

300 Tyrosine and phenylalanine had positive correlations with their DPPH & ABTS radicals sc