戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (1語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1  diversity and sensory characteristics had a positive correlation.
2 and initial porosity, while others suggest a positive correlation.
3 ergence between species traits also showed a positive correlation.
4 matographic (GC) methods demonstrated a good positive correlation.
5 to well-being shows, in most cases, a strong positive correlation.
6 nd features ranged between 0.50 and 0.97 for positive correlation (33 significant association feature
7 rger in the myopic group, with a significant positive correlation also being observed between RA and
8                                   A striking positive correlation also exists between the activity of
9               Recent studies have reported a positive correlation among BKPyV integration, persistent
10 We describe differences across tissue types, positive correlation among tissue types, and association
11                                Further, weak positive correlations are observed between gene body 5hm
12  At the bulk tumor level, there was a strong positive correlation between (18)F-FDG-PET and lactate p
13                      There was a significant positive correlation between (18)F-rhPSMA-7 PET/CT detec
14                           There was a strong positive correlation between 11C-PK-11195 and 18F-AV-145
15                                     A strong positive correlation between 5-HT(+) GCs and reductions
16                 There was also a significant positive correlation between [(11)C]Ro15-4513 V(T) and t
17      Meta-regression indicated that a larger positive correlation between [Formula: see text] and [Fo
18              We further showed a significant positive correlation between a GRS and renal disease in
19 d amplification in ADAR gene and there was a positive correlation between ADAR copy number and expres
20                       Our results revealed a positive correlation between amygdala volume and RHI ons
21                            Also, there was a positive correlation between anthracosis and brilliant l
22                                            A positive correlation between arsenic and phosphorus conc
23    Nonetheless, we highlighted a significant positive correlation between athletes' improvement in CV
24 richum sublineola, the results showed a weak positive correlation between basal leaf angle and pathog
25                       Complex I targets show positive correlation between binding affinity and molecu
26       One synthesis on this topic revealed a positive correlation between biodiversity and human dise
27 rs had lower EMF (p = 0.001) and there was a positive correlation between body mass index (p = 0.03)
28 ollectively, these studies revealed a strong positive correlation between bone remodeling rates, mito
29                           We report a strong positive correlation between both plasma anti-RBD and an
30                               We confirmed a positive correlation between Ca(v)3.1 and autophagic mar
31                    We observed a significant positive correlation between cardiac ejection fraction a
32                                            A positive correlation between CD73 expression and intrace
33                             Importantly, the positive correlation between claudin-5 and synaptic mark
34                      Our studies concluded a positive correlation between clovamide concentration and
35    Furthermore, we demonstrate a significant positive correlation between colony-level hygienic respo
36     While several studies have established a positive correlation between community diversity and inv
37 ncing data from HNSCC patients also showed a positive correlation between CXCR3 expression and lympho
38                     In addition, we showed a positive correlation between DeltaPsi(m) level and metas
39 it of detection (LoD) of 9.80 muM and highly positive correlation between detected GSH level and TMZ
40 ral channels and diameter of portal vein and positive correlation between diameter of paraumbilical v
41 egorical level, we only detected a very weak positive correlation between dichotic listening laterali
42  and Transplantation Network regions, with a positive correlation between donor kidney nonprocurement
43                     We unveil a 20E-mediated positive correlation between egg and oocyst numbers; imp
44                                            A positive correlation between ELF5 and FBXW7 expression a
45 ion of EPO in the advanced stages of DR, and positive correlation between EPO serum concentration and
46 abundant and has uncovered many genes with a positive correlation between expression and promoter met
47                                            A positive correlation between EZ dimension and progressio
48 ivariate analyses) demonstrates significant, positive correlation between FCP and MaRIA (r = 1.07, P
49 e, among invertebrates, there is typically a positive correlation between female body size and reprod
50 arrow by 24 h post-primary challenge, with a positive correlation between femoral bone marrow fungal
51            On per vessel analysis, there was positive correlation between FFR and CT-FFR (Pearson cor
52                                            A positive correlation between fitness and the presence of
53                In agreement, there is also a positive correlation between FOXO3 and PERK expression a
54 tory bowel disease patients, we identified a positive correlation between galectin-9 expression and c
55                                  There was a positive correlation between GCF total amount of SEMA4D
56 ow albeit positive, compatible with observed positive correlation between genome size and effective p
57 rom breast cancer patients revealed a strong positive correlation between high expression of MLK4 and
58                                  Despite the positive correlation between higher expression of K19 in
59 t exposed honey bees was there a significant positive correlation between HSP70 expression and time.
60 levels and MBL in group 1; and a significant positive correlation between IL-1beta and MBL in group 2
61            GAM analysis identified a similar positive correlation between imported cases, density of
62         In healthy participants, there was a positive correlation between inhibitory N45 and excitato
63  in prostate cancer patient cohorts showed a positive correlation between INPP4B expression and both
64 e of patients with melanoma, we also noted a positive correlation between integrin alpha(5) and TGFbe
65                        Moreover, there was a positive correlation between intra-articular PTX3 and IL
66                      There was a significant positive correlation between k (E,brain) and ABCB1 level
67             The present study demonstrated a positive correlation between kallistatin levels and DN,
68 primary CRC tumor patient databases showed a positive correlation between KCNQ1:KCNE3 channel complex
69                      There was a significant positive correlation between kE,brain values and ABCB1 l
70          We also identified a subfamily-wide positive correlation between lichenase and xylanase acti
71  provisioning of lipids to offspring, with a positive correlation between lipid concentrations and su
72                        We find a significant positive correlation between local recombination rate an
73                                   We found a positive correlation between loss of Rnf2 and upregulati
74                 In early clinical studies, a positive correlation between lymphocyte count recovery a
75 hly heritable, mate choice is expressed as a positive correlation between mates.
76 T2) neurotransmission revealed a significant positive correlation between measures of network central
77                                We observed a positive correlation between medial forebrain bundle-evo
78                            However, a strong positive correlation between mesophyll and stomatal cond
79                                            A positive correlation between microbial biomass delta(13)
80                                 We observe a positive correlation between miR-103a-3p levels and AngI
81 tol contents through aging and a significant positive correlation between MND and anti-ketols.
82                                            A positive correlation between MP size composition and par
83                            We demonstrated a positive correlation between mRNA and protein expression
84              As expected, there was a strong positive correlation between NLRP3-related inflammasome
85 (m-codel) gliomas demonstrated a significant positive correlation between nSUV and ADC only in voxelw
86 he relationship was dependent on sex, with a positive correlation between number of children and liab
87 mic analysis of the liver and plasma shows a positive correlation between obesity and hepatic C18 oxy
88  FRET with SERCA, and there was a surprising positive correlation between oligomerization affinity an
89                         However, there was a positive correlation between P1-implicit time and diabet
90                    This study demonstrates a positive correlation between periodontal lesions and liv
91 nalyses of PHF8, PKCalpha, and PTEN showed a positive correlation between PHF8 and PKCalpha but negat
92                                   We found a positive correlation between plasma cfDNA/NETs levels an
93  was evidenced by the significant and strong positive correlation between PolyP-Mg content and the lo
94 ked the associability partially mediated the positive correlation between prediction-error weights an
95                                  The induced positive correlation between prevalences means the propo
96                                            A positive correlation between profilin and pollen count o
97                                   We found a positive correlation between Psi(leaf) at 50% loss of K(
98               This proposition is based on a positive correlation between RBC membrane deformation an
99                      There was a significant positive correlation between salivary cortisol levels an
100 earman correlation showed highly significant positive correlation between serum and salivary PCT valu
101                                  There was a positive correlation between serum posaconazole levels a
102  serum potassium (r = -.39, P = .006), and a positive correlation between serum posaconazole levels a
103                                  There was a positive correlation between serum posaconazole levels a
104 in serum potassium (r =-.39, P=0.006), and a positive correlation between serum posaconazole levels a
105                                            A positive correlation between shedding rates was observed
106 thin the AASP shows a highly significant and positive correlation between silicic acid and pCO(2) in
107                    We observed a significant positive correlation between SIRT1 expression and muscle
108                           There was a strong positive correlation between SMFA adropin protein expres
109  Complementally, our empirical data showed a positive correlation between SNc-related FC and SMN acti
110              Lastly, NPD mutations disrupt a positive correlation between strain fitness and wild-typ
111 Moreover, HD but not WT synapses exhibited a positive correlation between TauD and the peak amplitude
112                             There was strong positive correlation between teams' and attending surgeo
113    Remarkably, in female ASD participants, a positive correlation between thalamic GABA/Water and AQ
114                                    There was positive correlation between the ADC value of the lacrim
115                                            A positive correlation between the amount of Gd(DTPA)(2-)
116 o identify the vMGB, and found a significant positive correlation between the amount of task-dependen
117 with PIAS1 in the nucleus, demonstrating the positive correlation between the binding of N to PIAS1 a
118                       Conclusively, the high positive correlation between the cell- and embryo-based
119                                            A positive correlation between the degree of degradation o
120       Among the 86 participants, there was a positive correlation between the duration of lead exposu
121 ammals (yeast, nematode and fly), there is a positive correlation between the enrichment of anti-WW/S
122 f the aliphatic glucosinolates also showed a positive correlation between the expression of BoAOP2 an
123 e cell-ECM adhesion, we established a strong positive correlation between the extent of cell-ECM adhe
124 SA patients intolerant to CPAP have a strong positive correlation between the FTP grade and presence
125                  Finally, we observed a weak positive correlation between the gut and the saliva micr
126 tive analysis demonstrates an overall strong positive correlation between the HI and MN assays.
127 ullerenes, ITIC-0F, and ITIC-4F, and track a positive correlation between the ITIC- nF space-charge l
128                       Moreover, we observe a positive correlation between the layer number and resist
129                              We also found a positive correlation between the level of radioactivity
130                     Furthermore, there was a positive correlation between the magnitude of this ERP m
131                                            A positive correlation between the plasma viral load with
132 ples taken from injected animals confirmed a positive correlation between the proportion of functiona
133 relevant procedure to mimic hyperglycemia, a positive correlation between the rates of glucose concen
134 le-genome sequences of 53 organisms showed a positive correlation between the size of a genome and th
135 ally, for both taxa, there was a significant positive correlation between the strength of inhibition
136                                  There was a positive correlation between the SUV(max) and the Gleaso
137 xiety, higher skin conductance levels, and a positive correlation between the two measures, in threat
138 mediolateral forces on the patella, the high positive correlation between their activation minimizes
139 etic alpha-methylene-gamma-lactone showing a positive correlation between thiol reactivity and bioact
140 ions and tonsillar TFH-cell responses, and a positive correlation between tonsillar TFH-cell and syst
141                       We here demonstrated a positive correlation between Treg-cell numbers and epide
142              Whole-brain analyses revealed a positive correlation between ventral striatum D2R availa
143  and across societies, we find evidence of a positive correlation between work time and market engage
144                           We also observed a positive correlation between YAP signaling and SOX9 expr
145                                  Significant positive correlations between AP cortisol, SAE cortisol,
146                                              Positive correlations between both elasticity (r = 0.72,
147                            Both negative and positive correlations between brain iron and beta-amyloi
148                                   There were positive correlations between clinical severity and both
149                         In humans, there are positive correlations between CYP27B1 and SLC23A1 expres
150 yperactivity disorder, were characterized by positive correlations between DA and discounting.
151  By contrast, the FRED dataset showed strong positive correlations between diameter and length and fe
152                      We observed significant positive correlations between expression of HMA3 and of
153                                   There were positive correlations between GCF total amount of SEMA4D
154  analysis revealed statistically significant positive correlations between measurement methods.
155                At the remnant site, we found positive correlations between microbial community compos
156                                              Positive correlations between multiple measures of alpha
157 of the original model and, moreover, produce positive correlations between similarly tuned neurons, a
158                                              Positive correlations between the self- and ingroup-bias
159                                    Excellent positive correlations between the two methods were obtai
160                                              Positive correlations between the values of anterior cha
161 port for the third hypothesis represented by positive correlations between weed densities and insect
162 ion) and net primary production indices (PP, positive correlation) encountered by salmon in common do
163 inal study found a statistically significant positive correlation (Figure 7Cd; Goetz et al., 2011), b
164 t [(18)F]FDG uptake and cell dry mass have a positive correlation in HeLa cells, which suggests that
165          Our observations demonstrate that a positive correlation in tumorigenesis exists between TP7
166        Interestingly, these activities had a positive correlation mainly with the content in methyl s
167 imary kidney tumor transcriptomes confirms a positive correlation of a YAP/TAZ signature with glycoly
168 gly, our data suggest a weak but significant positive correlation of Bd infection intensity and bacte
169                                            A positive correlation of CIR with antibacterial effective
170                        Our samples display a positive correlation of delta(98/95)Mo(NIST 3134) with M
171               Clinical findings indicate the positive correlation of higher DOCK6 expression with tum
172 -lamp biomicroscopy in vivo with significant positive correlation of mean maximum diameter detected b
173 ered lipid signature in human HCC and show a positive correlation of monounsaturated PC with hallmark
174             In agreement with this, a strong positive correlation of mRNA expression between DZIP3 an
175                                     A strong positive correlation of Muc5ac with Klf4 and pSTAT3 in t
176 correlation displayed significant (p < 0.05) positive correlation of N-trans-caffeoyltyramine, the mo
177 ver transplantation revealed a significantly positive correlation of PGE(2) levels and graft function
178 n line with these in vitro results, a strong positive correlation of PHD3 and HIF2A mRNA expression i
179                                            A positive correlation of resistant starch (RS) with total
180 e between hereditary and idiopathic CP and a positive correlation of TCRbeta rearrangements with dise
181  clinical samples surveys also indicated the positive correlation of this newly identified DHT/mAR si
182  improved cell membrane permeability, with a positive correlation of Zn(2+) (0-400 muM).
183                                     We noted positive correlations of cerebellar concentrations of NA
184 0001) and G (l) (r = -0.76, P < 0.0001), and positive correlations of fractal dimension with G (d) (r
185 mposition in both habitats, showing that the positive correlations of provisioning services with biod
186 ehavioral ratings, fNIRS and EEG data showed positive correlations on a between-subject as well as on
187                                A significant positive correlation (p<0.0001) (n=54) was noticed betwe
188  clusters in major white matter tracts, with positive correlations (P <= .05, corrected for the voxel
189 onal age at birth, ROI analyses still showed positive correlations (P <= .05, R = 0.35 to 0.48) betwe
190 ces, super-diffusion, non-trivial long-range positive correlations, persistent dynamics with trend-re
191 sults of grape flesh extracts demonstrated a positive correlation (r = >= 0.95) between EC(50) values
192 and miR-181a expression showed a significant positive correlation (r = 0.4862; P = 0.016).
193                           There was a strong positive correlation (r = 0.7326) between lubricant osmo
194 detected in mosquito breeding sites showed a positive correlation (r = 0.81; P = 0.0017) with mosquit
195                             We observed weak positive correlation (r=0.30) between investment and 201
196                                  There was a positive correlation (rho = 0.49, P = 0.03) between surg
197             We identified groups of AAs with positive correlations that were, as a group, negatively
198 ys in rat carotid balloon injury model, with positive correlation to PDGFB (platelet-derived growth f
199  of the QLQ-C30 functional scales as well as positive correlation to the diarrhea symptom scale.
200 sgene-dependent luciferase activity showed a positive correlation to the endogenous murine soluble TN
201 of carbon isotopes ((13)C/(12)C), indicating positive correlations to dietary intake of benthic organ
202                                            A positive correlation was also found between the number o
203                                            A positive correlation was also observed between plasma DR
204                  A statistically significant positive correlation was detected between anti-HBs level
205                                            A positive correlation was determined between the strain r
206                                     A strong positive correlation was found among wastewater and crop
207                                            A positive correlation was found at 2 weeks after infectio
208  and within the patient group, a significant positive correlation was found between IL-1beta and both
209                   Furthermore, a significant positive correlation was found between oxytocin induced
210         In persistent atrial fibrillation, a positive correlation was found between the causality pai
211                                            A positive correlation was found between the content of to
212 gardless of the dynamic MRI sequence used, a positive correlation was found between the maximum value
213 t activity than those with pale testa, and a positive correlation was found between total phenolic co
214                                              Positive correlation was noted between sleep scores and
215                                            A positive correlation was observed between free glucose c
216 zable drugs were taken up by FIGCS; a strong positive correlation was observed between log S and the
217                                            A positive correlation was observed between the genetic di
218 spite the low number of participants, strong positive correlations were found between measures of int
219                                  Significant positive correlations were found between MMP-9 (P = 0.01
220                                  Significant positive correlations were found between susceptibility,
221                                              Positive correlations were found between the consumption
222                                  Significant positive correlations were found between the different g
223                                  Significant positive correlations were identified between substituti
224             While, relative to controls, the positive correlations were largely normal, negative corr
225        Regardless of wetland trophic status, positive correlations were observed between pore water H
226  the active microbial composition and strong positive correlations were observed between RS-P(availab
227                                              Positive correlations were observed between TA-LG co-con
228                                  Conversely, positive correlations were observed with the mean air te
229       Mouse BALF and human BALF had a strong positive correlation with 2040 metabolites in common, su
230                       The %DCDD had a modest positive correlation with 4 DSA factors: median match ME
231                       The %DCDD had a modest positive correlation with 4 DSA factors: median match mo
232 ic group sphere (r = 0.044; P < 0.001) had a positive correlation with age, whereas other parameters
233 mprovement in cancer detection rate showed a positive correlation with age.
234 ith anti-ECD IgG titers of >=1:50 and strong positive correlation with anti-RBD and VN titers.
235                    Higher NTs had a stronger positive correlation with anti-spike IgG avidity (Spearm
236 enopausal status a statistically significant positive correlation with C-IMT was observed.
237                   PD & PP were found to have positive correlation with CAL gain in >=7 mm probing sit
238 earning as reward prediction errors showed a positive correlation with caudate and nucleus accumbens
239 cs analysis in GSTO1 KO cells found a strong positive correlation with cell adhesion molecules and IF
240 ve the highest delta(37)Cl values and have a positive correlation with Cl content, and yet do not con
241 l in the blood samples expressed significant positive correlation with Cr and Ni.
242 ions with AAO and with TAF1 expression and a positive correlation with disease severity and cognitive
243 n both populations, testican-2 had a strong, positive correlation with estimated glomerular filtratio
244 -nAg reactivity of lupus-prone mice showed a positive correlation with eventual systemic autoimmunity
245 igher in NASH than nonalcoholic fatty liver, positive correlation with fibrosis score and liver stiff
246 ced by wildfire (p < 0.001) and it exhibited positive correlation with fire severity (r = 0.83, p < 0
247                             Acrylamide had a positive correlation with flavour, although it did not a
248 the gamma-secretase complex has a strong and positive correlation with gamma-secretase activity in sa
249 l increase in 5hmC content showed an overall positive correlation with gene expression level as well
250 not distinguish between CF and SH but showed positive correlation with GI, PI, and BOP in both groups
251  were noticed in 38.1% (n = 8), confirming a positive correlation with high tumor mutational burden (
252 ngal richness and diversity indices showed a positive correlation with humidity (p < 0.05).
253 AN-modeled ventilation profile showed strong positive correlation with images from (129)Xe MRI (rho =
254 tiviral interferon response genes (ISGs) and positive correlation with integrin alpha(v) (ITGAV).
255 rinary TCF21 concentration in human showed a positive correlation with its podocyte expression level.
256 s estrogen module (rho = -0.79) and moderate positive correlation with its proliferation module (rho
257  cation exchange capacity had an approximate positive correlation with K(d) only for PFOAAmS.
258                         SUV(max) exhibited a positive correlation with Ki-67 across all breast cancer
259                          Significant ROC and positive correlation with Ki67 index highlight the diagn
260       Although the overall pattern of a weak positive correlation with liability may contribute to th
261 thermore, macular sensitivity demonstrated a positive correlation with macular thickness as measured
262                                    Age had a positive correlation with MAX, MIN, and CON.
263                              Also, age had a positive correlation with MAX, MIN, and CON.
264 beta-catenin mRNA expression showed a strong positive correlation with miR-34a (r = 0.5784; P = 0.003
265 , ETS-1 and SOX family proteins, that showed positive correlation with MMP10 and MET expression.
266 tent within (sub)species and showed a strong positive correlation with N(C) ([Formula: see text] = 0.
267              City-level utilization showed a positive correlation with Papanicolaou test use (r = 0.7
268 as a continuous variable, it had significant positive correlation with poor prognosis beyond five yea
269  atrophy level in the left pallidum showed a positive correlation with severity of suicidal risk in M
270             In addition, feldspar exhibits a positive correlation with shale gas desorption capabilit
271  SCP-VD, and foveal DCP-VD and a significant positive correlation with subfoveal CT, temporal and nas
272 viral load at 4 weeks (0.15-0.21) and a high positive correlation with survival (0.91-0.98) were dete
273       The observed [Formula: see text] has a positive correlation with temperature, and regional mean
274 g the cells with estrogen (E2), displaying a positive correlation with the activation of these enhanc
275  the United States, colder climates showed a positive correlation with the age-standardized prevalenc
276 en species (forty-three percent) displayed a positive correlation with the anti-cod PAV polyclonal an
277 clustering coefficient of each network has a positive correlation with the corresponding node degree.
278                                            A positive correlation with the fraction of soil organic c
279  modification, N325 deamidation, exhibited a positive correlation with the loss of ADCC activity.
280 e Pacific Decadal Oscillation index showed a positive correlation with the LST in most Alaska.
281 hich presented in 48% of the cases, showed a positive correlation with the plasma YKL-40 levels (P =
282  = 0.041), average cell size and CV showed a positive correlation with these parameters.
283 pus, right caudate, and right pallidum had a positive correlation with total impulsivity.
284 ng MDSC from control animals showed a strong positive correlation with Treg, which was completely abl
285 MP-8 levels assessed by IFMA showed a strong positive correlation with TREM-1 levels in saliva (r = 0
286 n rate was 86.9 +/- 13.65 (VAS) and showed a positive correlation with willingness to retreat (P < 0.
287 nd default mode networks, whereas age showed positive correlations with a more widespread pattern.
288 (and cumulative metrics) had significant and positive correlations with age and (v) the highest delet
289   Genome-wide correlation analyses indicated positive correlations with anthropometric traits.
290 le MMP9 and Osteopontin both had significant positive correlations with barriers to care.
291 rophospholipid metabolism pathway and showed positive correlations with host plasma glycerophospholip
292 rophospholipid metabolism pathway and showed positive correlations with host plasma glycerophospholip
293                   Ki(cer) showed significant positive correlations with improvements in PANSS-positiv
294 us, and dietary fiber consumption had strong positive correlations with IRSAD, while tramadol, atenol
295 genetic correlation analysis revealed strong positive correlations with multiple personality and psyc
296                                      Despite positive correlations with particular astringent flavono
297 odel) gliomas, nSUV demonstrated significant positive correlations with rCBV (r (voxelwise) = 0.25 an
298 a number of traits and conditions, including positive correlations with smoking status and moderate l
299 eal-life CDRs, recall rates, and PPVs showed positive correlations with the equivalent PERFORMS measu
300 al diversity in specific leaf area exhibited positive correlations with tree biomass, suggesting that

 
Page Top