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1 SEM analysis of the films indicates a good material comp
2 SEM and Raman spectroscopy were used to demonstrate that
3 SEM and XPS analysis are employed to characterize the el
4 SEM elemental mapping of samples taken from both swatche
5 SEM examination for control and CNTs specimens showed th
6 SEM imagery, skeletal trace elements and boron isotopes
7 SEM images of early biominerals from Ediacaran and Cambr
8 SEM images of hydrolyzed macroalgae showed that reverse-
9 SEM images revealed damaged starch granules after size r
10 SEM models with maximum-likelihood estimates made use of
11 SEM revealed capsule formation with entrapped catechin,
12 SEM revealed shellac-based coatings to contain spherical
13 SEM reveals that the cuticle consists of nanostructures
14 SEM showed clear empty cavities in the plain Ca-alginate
15 SEM studies revealed that MN58b distorted the cell wall,
16 SEM with energy-dispersive X-ray spectroscopy analysis d
17 SEM/EDS revealed characteristic surface weathering on th
18 forced expiratory volume in 1s (FEV(1) ) +/- SEM = 0.9 +/- 0.1 l, 30% of predicted) and eight control
20 s ranges between fair (kappa = 0.35 +/- 0.13 SEM and kappa = 0.38 +/- 0.11 SEM) and moderate (kappa =
24 ate (22.5 +/- 3.1 compared with 47.2 +/- 7.3 SEM umol/g) coincided with significantly higher concentr
25 om forelimb wrist flexor muscles (415 +/- 8 [SEM]) align with back-traced anatomical LMN counts (336
30 tologic architecture preservation on H&E and SEM as well as preservation of key proteins such as coll
31 anism was investigated through FTIR, EDX and SEM, which demonstrated that the introduction of thiol g
34 Integration of multi-trait models-GWAS and SEM-GWAS identified six significant SNPs for SCS, and qu
35 on scanning electron microscopy (HRSEM), and SEM with energy dispersive X-ray spectroscopy (SEM-EDS).
39 on for quantification of the morphology; and SEM-EDS was utilized to locate the impurity within the a
40 ons (C, H, N, O, S), Py-GC/FID, Py-GC/MS and SEM imaging reveal extensive degradation of the wood pol
42 ng a wavelength dispersive spectrometer) and SEM-EDS (scanning electron microscopy analysis using an
43 ese polymers using DSC, FT-IR, XRD, TGA, and SEM techniques demonstrate consistency with the degree o
52 crostructure of the samples was evaluated by SEM microscopy, sugars content by HPLC and sucrose melti
53 ies of hot-pressed ZrC(1-x) were examined by SEM, XRD, Raman spectroscopy and static (13)C NMR spectr
55 ture of the FSPS samples was investigated by SEM and TEM imaging, and the observations were used to g
60 , EXAFS) and nanoscale analysis (correlative SEM and nanoSIMS) that organic carbon is bound to reacti
64 cryogenic-scanning electron microscopy (cryo-SEM), confocal laser scanning microscopy and laser diffr
66 thickness (least-squares mean difference +/- SEM: -0.9+/-0.4 mm, P=0.017), interventricular septal wa
67 crease in a murine NSG model of disseminated SEM cell-derived ALL, wherein CD19+ cells closely associ
68 wed a more organized and dense morphology (E-SEM), higher water vapor barrier, better mechanical feat
69 such tips is hard to characterize by either SEM or atomic force microscopy (AFM) that has been emplo
70 d sensor were assessed by scanning electron (SEM) and atomic force microscopy (AFM), electrochemical
77 ld-emission scanning electron microscope (FE-SEM) and high-resolution transmission electron microscop
78 ld emission scanning electron microscope (FE-SEM), and transmission electron microscope (TEM) with ED
79 ld emission scanning electron microscope (FE-SEM, SEM-Mapping), scanning transmission electron micros
81 ution field emission electron microscopy (FE-SEM) method to detect the mutation (HD) in hard-endosper
83 ld emission-scanning electron microscopy (FE-SEM), and Fourier-transform infrared spectroscopy (FT-IR
85 ed on FTIR, XPS, XRD, Raman spectroscopy, FE-SEM, HR-TEM, AFM, UV-Vis and FL, revealed successful dop
88 vement region of the frontal eye fields (FEF(SEM)) is a critical node in the neural circuit controlli
89 preparatory modulation of firing rate in FEF(SEM) predicts movement, providing evidence against the '
90 eparatory activity evolves in the monkey FEF(SEM) during fixation in parallel with an objective measu
92 ly, there is a partial reorganization of FEF(SEM) population activity between preparation and movemen
93 Gun-Scanning Single Electron Microscopy (FEG-SEM) revealed that treatment of the beta-amino HMOs sign
95 tor incorporated into a commercial Ga(+) FIB-SEM (Focused Ion Beam combined with Scanning Electron Mi
98 d ion beam scanning electron microscopy (FIB-SEM) has provided unparalleled insight through the volum
99 d ion beam scanning electron microscopy (FIB-SEM) in conjunction with high-pressure freezing, freeze-
100 d ion beam-scanning electron microscopy (FIB-SEM) nano-tomography image dataset was used to reconstru
102 d ion beam scanning electron microscopy (FIB-SEM) to study the architecture of the pronuclear membran
104 d ion beam-scanning electron microscopy (FIB-SEM); myelin outfoldings were three-dimensionally recons
105 h combines antigen labeling with in situ FIB-SEM imaging, is developed in order to spatially map ultr
106 ive cell imaging in mouse kidney tissue, FIB-SEM, and other complementary techniques, we provide new
107 Given that it is impractical to use FIB-SEM brain-wide, we used previously available SDM data fr
109 hree-dimensional densities obtained with FIB-SEM (synapses/um(3)) and the bi-dimensional densities ob
110 d Ion Beam/Scanning Electron Microscopy (FIB/SEM) can be applied to study in detail the synaptic orga
111 of wine PR proteins by up to 57% and 37% for SEM and SAB, respectively, and reduced the amount of haz
112 Remaining bacteria were quantified from SEM images of the implant surfaces and their numbers sta
118 nomic structural equation modelling (genomic SEM): a multivariate method for analysing the joint gene
119 demonstrate several applications of genomic SEM, including a joint analysis of summary statistics fr
124 locus in a human pediatric B-ALL cell line, SEM, and an immortal erythroid precursor cell line, HUDE
127 TcVI discrete typing units, with a mean (+/-SEM) of 3.9 +/- 0.7 haplotypes/patient, and 47% harbored
132 UC 0.81 +/- 0.01 vs. 0.73 +/- 0.02, mean +/- SEM, comparison p = 0.002), with a mean classification a
133 +92 +/- 57 muU/timepoint p = 0.03; mean +/- SEM), but not for lactate (-0.14 +/- 0.04 mM/timepoint v
135 : 17 +/- 10; 37 +/- 10; 30 +/- 10) (mean +/- SEM BOS, stable, control, respectively) (P < 0.05 for al
136 0% fat intervention was 55% +/- 3% (mean +/- SEM; n = 10), which was 9% less than during the 0% fat i
137 after CR, 2gOBG, 4gOBG, and 4gloMW (mean +/- SEM: 887 +/- 64, 831 +/- 61, 834 +/- 78, and 847 +/- 68
138 tion: weighed intake increased by a mean +/- SEM of 143 +/- 21 g/d (16%) and energy intake increased
140 ed with metastatic prostate cancer (mean +/- SEM = 21 +/- 2.957 CTCs/mL, median = 21 CTCs/mL), demons
142 g fat-free mass was reduced in IMB (mean +/- SEM: -3.6% +/- 0.5%; P = 0.030) but not CTL with no diff
143 markedly smaller in CT individuals (mean +/- SEM: 2174 +/- 142 mum 2) compared with controls (3586 +/
145 lthy, young, endurance-trained men (mean +/- SEM age: 27 +/- 1 y) received a primed continuous infusi
146 Fifty-four participants (57.4% men; mean +/- SEM age: 52 +/- 3 y; BMI: 25.8 +/- 0.5 kg/m2) completed
148 tion of 0, 15, 30, or 45 g protein (mean +/- SEM: -0.31+/- 0.16, 5.08 +/- 0.21, 10.04 +/- 0.30, and 1
149 y protein turnover with a resultant mean +/- SEM 0.03 +/- 0.01 mumol . kg LBM-1 . min-1 lower net bal
151 lic or diastolic BP (n = 6,554; the mean +/- SEM change in BP associated with a 100-mg difference in
153 and women (n = 89; 21.6 +/- 0.23 y; mean +/- SEM) were randomly allocated into 1 of 3 supplement grou
157 rotected N-[2-(trimethylsilyl)ethoxy]methyl (SEM) arylboronate ester precursor in a 17% +/- 5% (n = 1
158 rs followed by scanning electron microscope (SEM) analysis immediately or after rinsing with 0.9% NaC
161 model based on scanning electron microscope (SEM) images of our substrates to explain our experimenta
163 ethods such as scanning electron microscope (SEM), Fourier transform infrared spectrum (FT-IR), cycli
165 ethods such as scanning electron microscope (SEM), transmission electron microscope (TEM), x-ray diff
167 he Pd L-edge, Scanning electron microscopey (SEM) and Raman spectra, and direct magnetoelectric tenso
172 ce changes via scanning electron microscopy (SEM) and atomic force microscopy (AFM), and Ti dissoluti
173 ombined use of scanning electron microscopy (SEM) and confocal laser scanning microscopy (CLSM) confi
174 roscopy (AFM), scanning electron microscopy (SEM) and electrochemical techniques to confirm successfu
175 rthermore, the scanning electron microscopy (SEM) and energy dispersive X-ray analysis (EDXA) reveale
176 RD), Rheology, Scanning electron microscopy (SEM) and Fourier transform infra-spectroscopy (ATR-FTIR)
179 oscopy (FTIR), scanning electron microscopy (SEM) and, energy-dispersive X-ray spectroscopy (EDX) ana
180 oscopy (FTIR), scanning electron microscopy (SEM) as well as alamar blue, acridine orange, and alizar
183 py (FTIR), and scanning electron microscopy (SEM) equipped with energy dispersive X-ray analysis (EDX
186 Acid-etched scanning electron microscopy (SEM) images of AIS demonstrated abnormal osteocytes that
190 enhancement in scanning electron microscopy (SEM) images using a generative adversarial network.
191 by (13)C NMR, scanning electron microscopy (SEM) imaging, and fiber length distribution analysis, sh
194 In agreement, scanning electron microscopy (SEM) revealed abnormal fiber cell morphology in Tdrd7-/-
198 rst time using scanning electron microscopy (SEM) with energy dispersive X-ray (EDX) spectroscopy, th
199 raction (XRD), Scanning Electron Microscopy (SEM) with Energy Dispersive X-Ray Analysis (EDX) and Fou
200 nical testing, scanning electron microscopy (SEM), and biophysical modeling based on classic Hertz th
202 py (ATR-FTIR), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDX).
205 c Voltammetry, Scanning Electron Microscopy (SEM), Atomic Force Microscopy (AFM) and Raman Spectrosco
206 oscopy (FTIR), scanning electron microscopy (SEM), atomic force microscopy (AFM), differential pulse
207 erized through scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET) surface area measurem
208 g time, color, scanning electron microscopy (SEM), damaged grains, amylose, protein content and extra
209 oscopy (FTIR), Scanning Electron Microscopy (SEM), Dynamic Light Scattering (DLS), Nuclear Magnetic R
210 raction (XRD), scanning electron microscopy (SEM), electrochemical impedance spectroscopy (EIS) and c
211 action (pXRD), scanning electron microscopy (SEM), energy dispersive X-ray (EDX) spectroscopy, and UV
212 nt microscopy, scanning electron microscopy (SEM), Fourier-Transform Infrared spectroscopy (FTIR), an
213 uster ion beam scanning electron microscopy (SEM), in which wide-area ion milling is performed on a s
214 assembled with scanning electron microscopy (SEM), is the most popular tool used in nanotechnology an
216 spectroscopy, scanning electron microscopy (SEM), transmission electron microscopy (TEM), scratch te
217 aracterized by Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), X-ray Phot
218 oscopy (SNMS), Scanning electron microscopy (SEM), UV-Vis spectroscopy and Photo-electro-chemical (PE
219 roscopy (AFM), scanning electron microscopy (SEM), UV-Vis spectroscopy, X-ray diffraction (XRD) analy
220 oscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD) and differential scanning
222 l results from scanning electron microscopy (SEM), X-ray diffraction (XRD), scanning transmission ele
237 voltammetry, scanning electronic microscopy (SEM) and electrochemical impedance spectroscopy (EIS).
239 g mass spectrometry (MALDI-TOF), microscopy (SEM, Raman), and microbiological techniques (CFU, OD(600
240 ments such as scanning electron microscopy, (SEM), transmission electron microscopy (TEM), X-ray diff
243 del GRNs with the structural equation model (SEM) that can integrate gene expression and genetic pert
244 sed a demographic structural equation model (SEM) to demonstrate that a single axis of environmental
246 We applied structural equation modeling (SEM) - GWAS aiming to explore interrelated dependency re
247 heory, we used structural equation modeling (SEM) to represent a general hypothesis for how 16 variab
248 etry (VBM) and structural equation modeling (SEM), latent hierarchical regression analyses were perfo
250 SEM into existing single-beam and multibeam SEM workflows should be straightforward, increasing reli
254 ronmental drivers are common, suggesting our SEM-FLM approach is a widely applicable tool for explori
257 By using this technique, higher resolution SEM images can be taken faster, while also reducing both
259 erring unresolved features in low-resolution SEM images and comparing them with the accurately co-reg
260 Block Face Scanning Electron Microscopy (SBF-SEM) and transmission electron microscopy enabled ultras
262 ission scanning electron microscope (FE-SEM, SEM-Mapping), scanning transmission electron microscopy
263 OZ), 1-aminohydantoine (AHD), semicarbazide (SEM) and 3,5-dinitrosalicylic acid hydrazide (DNSH).
265 and develop an algorithm named fused sparse SEM (FSSEM), to jointly infer GRNs under two conditions,
271 y plus energy-dispersive X-ray spectroscopy (SEM/EDS), and Fourier transform infrared (FTIR) micro-sp
272 d with energy dispersive X-ray spectroscopy (SEM/EDX) method that enabled detection and semiquantific
273 oscopy/energy-dispersive X-ray spectroscopy (SEM/EDX), and electrochemical impedance spectroscopy (EI
275 analysis using a serial section array (SSA)-SEM identified virus particles in vesicles within the cy
279 erials were thoroughly characterized by TEM, SEM, XPS, FTIR, and nitrogen-adsorption surface area ana
280 ogical characteristics were assessed by TEM, SEM-EDX, X-ray photoelectron spectroscopy and vibrating
281 SMC-derived intermediate cells, termed "SEM" cells (stem cell, endothelial cell, monocyte), were
288 hesized CS-PAEO-Nm was characterized through SEM, FTIR, and XRD and evaluated for improved biological
290 ling was identified as a regulator of SMC to SEM cell transition, and RA signaling was dysregulated i
291 elocytic leukemia, blocked SMC transition to SEM cells, reduced atherosclerotic burden, and promoted
292 0 post PPA treatment to (Mean: 193.47 um +/- SEM: 6.673 um) versus (154.16 um +/- 9.95 um) in control