ライフサイエンスコーパス: spectral analysis

1 w lumen diameter) and functional parameters (spectral analysis).

2 m an entire visible spectrum for each pixel (spectral analysis).

3 included signal preprocessing, filtering and spectral analysis.

4 pheric pressure chemical ionization for mass spectral analysis.

5 that can complicate image interpretation and spectral analysis.

6 terleukin (IL)-1alpha and IL-1beta, and ECoG spectral analysis.

7 med using autocorrelation function plots and spectral analysis.

8 merical study using the wavenumber-frequency spectral analysis.

9 Alternans was measured by APD and spectral analysis.

10 (13)C NMR) and 2D-NMR (COSY, HSQC and NOESY) spectral analysis.

11 tion is a challenging problem in tandem mass spectral analysis.

12 analyzed at the pattern reversal rate using spectral analysis.

13 ty, we adopt the Lombmethod of least-squares spectral analysis.

14 g with anthanthrene is disqualified based on spectral analysis.

15 both PG9 (doubly) and PG16 (singly) by mass spectral analysis.

16 ecting them into a cryogenic ion trap for IR spectral analysis.

17 metry was evaluated both visually and by EEG spectral analysis.

18 n of two novel phosphorylation sites by mass spectral analysis.

19 ression of P450 by 1-aminobenztriazole using spectral analysis.

20 ts with an internal standard within one mass spectral analysis.

21 single-channel recording, noise analysis and spectral analysis.

22 er sample and subsequently subjected to mass-spectral analysis.

23 cillosamine using radiolabeled HPLC and mass spectral analysis.

24 annels and remove samples for very sensitive spectral analysis.

25 peak assignments by retention time and mass spectral analysis.

26 ortening and elongation was determined using spectral analysis.

27 s so that the data can be easily verified by spectral analysis.

28 he multiple-indicator dilution technique and spectral analysis.

29 ces, prior to proteolytic digestion and mass spectral analysis.

30 sympathetic modulation was assessed by power spectral analysis.

31 lar information in static secondary ion mass spectral analysis.

32 photoelectron spectroscopy (XPS) and UV-vis spectral analysis.

33 osal layer was documented and confirmed with spectral analysis.

34 pressure and CBF velocity were quantified by spectral analysis.

35 of its meaning, particularly in relation to spectral analysis.

36 BP and R-R variability was examined by cross-spectral analysis.

37 plot analysis, a basis function method, and spectral analysis.

38 lated phosphatidylcholines were confirmed by spectral analysis.

39 n optical system without extensive numerical spectral analysis.

40 rganelles and collect the emitted signal for spectral analysis.

41 on the (1)H and (13)C NMR as well as 2D HMBC spectral analysis.

42 By mass spectral analysis, a common set of approximately 70 liga

43 s, generation of pseudo-colored GP maps, and spectral analysis, a key highlight of this tool is relia

44 To facilitate NMR spectral analysis, a TolR construct containing residues

45 that the auditory system performs a weighted spectral analysis across different frequency bands to es

46 ronic hardware, application of advanced data/spectral analysis algorithms, and realization of many ot

47 The spectral analysis allowed detection of the major chemica

48 Spectral analysis allowed us to identify signals from mu

49 Time sequenced spectral analysis also highlights the epileptiform EEG p

50 Mass spectral analysis also revealed GILT's ability to reduce

51 Gas chromatography-mass spectral analysis also showed the accumulation of nonana

52 The ESR spectral analysis also yields phase boundaries and coexi

53 Particularly, using both mass spectral analysis and an immunological tool, rCq-IGFBP w

54 spectra should greatly simplify both manual spectral analysis and automated structure elucidation.

55 ng magnetoencephalographic and MRI data with spectral analysis and beam-forming techniques.

56 Using spectral analysis and beamforming, we found a WM load-re

57 sed, such as self-alignment of the sequence, spectral analysis and discrete Fourier transform of sequ

58 has emerged as a powerful technique for mass spectral analysis and imaging under ambient conditions.

59 Detailed spectral analysis and modelling of the wind shows that i

60 ducts by electrospray ionization tandem mass spectral analysis and other biochemical methods.

61 combining the Fano-factor time curve, power spectral analysis and rescaled range analysis, we reveal

62 Such spectra greatly simplify manual spectral analysis and should be well-suited to automated

63 onal methods provide advanced tools for mass spectral analysis and statistical inference, but lack in

64 the highest total phenolics as determined by spectral analysis and supported by the classification pr

65 tory coupling (SRC) was assessed using power spectral analysis and the magnitude of the peak coherenc

66 mplementation, in vitro reconstitution, mass spectral analysis, and plasmid intergrational mutagenesi

67 ity of cysteine thiols, pyrene and acrylodan spectral analysis, and pyrene fluorescence quenching.

68 ed a recently developed method, Holo-Hilbert spectral analysis, and steady-state visually evoked pote

69 of Hi-C contact maps, matrix techniques like spectral analysis are particularly useful.

70 h performance liquid chromatography and mass spectral analysis are used to identify the nucleoside pr

71 components, we formulate nonparametric batch spectral analysis as a Bayesian estimation problem.

72 microspectroscopy coupled with multivariate spectral analysis as a simple, noninvasive method to bio

73 ion space, we propose Pareto hypervolume and spectral analysis as estimators of short term multi-omic

74 were analyzed by histology, autofluorescence spectral analysis, atomic absorption spectrophotometry,

75 derivatives was confirmed by IR and (1)H NMR spectral analysis, but the increase of the quantum yield

76 work for EMG data processing that implements spectral analysis by continuous wavelet transform and ma

77 ate that classical multitaper techniques for spectral analysis can be ported to the quantum domain an

78 Both Logan analysis and spectral analysis can be used to obtain quantitatively a

79 Spectral analysis can thus potentially serve as a gold s

80 Spectral analysis characterises oscillatory time series

81 In parallel, spectral analysis (colorimetry and near infrared spectro

82 A detailed binding study using mass spectral analysis confirmed covalent binding to Cys249 w

83 Randomization tests and spectral analysis confirmed that the temporal patterns o

84 ional retention of radiotracer determined by spectral analysis correlated with Ki-67 labeling index (

85 A comprehensive MCD spectral analysis coupled with a molecular field model o

86 The Lfa is the area under the spectral analysis curve within the frequency range of 0.

87 3-tissue compartmental model, 3 variants of spectral analysis, deconvolution, and Patlak analysis) w

88 Mass spectral analysis demonstrated that BES inactivation of

89 Circular dichroism and UV spectral analysis demonstrated that mitochondrial G-rich

90 Further mass spectral analysis demonstrated that Pup was attached to

91 Furthermore, spectral analysis demonstrated weaker post-stimulus beta

92 Mass spectral analysis demonstrates that irreversible inactiv

93 correlation coefficient [ICC], 0.93) and for spectral analysis-derived V(T) with a set of 30 basis fu

94 Raman spectral analysis determined I(D)/I(G) values of 0.74 fo

95 Ordinary spectral analysis did not demonstrate age-related differ

96 Spectral analysis did not indicate strong affinity of th

97 Although mass spectral analysis did not unambiguously identify the rel

98 Raman spectral analysis disclosed that the chemical interactio

99 Spectral analysis (dominant frequency) and quantificatio

100 sphorylation pose special challenges to mass spectral analysis due to their isobaric nature and their

101 anion exchange chromatography prior to mass spectral analysis due to their preferential ionization b

102 y diffraction (XRD), energy dispersive X-ray spectral analysis (EDS), scanning electron microscopy (S

103 This report demonstrates how computer-aided spectral analysis enables the complete interpretation of

104 MALDI-TOF and ESI mass spectral analysis established that Cys-68 is the only si

105 However, our mass spectral analysis failed to observe the phosphorylation

106 We propose a novel method of spectral analysis for detecting hidden periodicities in

107 ity that can be employed in conjunction with spectral analysis for the noninvasive detection and asse

108 lgorithm called SALSA (scoring algorithm for spectral analysis) for the detection of specific feature

109 The structure and mass spectral analysis further suggest that S. maltophilia Pa

110 not reported in the literature and detailed spectral analysis has been conducted to extract the mole

111 whole-body somatosensory-motor mapping using spectral analysis has not been conducted in humans outsi

112 Spectral analysis, heme-associated peroxidase activities

113 Mass spectral analysis identified the ligand as a mixture of

114 Sequencing and mass spectral analysis identified their origin from the same

115 roach to improve the reliability of (1)H NMR spectral analysis in complex metabolic studies.

116 concept of optical delay, which facilitates spectral analysis in terms of time-harmonics.

117 art rate and respiratory rate variability by spectral analysis in the early period of mildly to moder

118 y employing the Wasserstein distance, global spectral analysis in the form of diffusion maps, and top

119 Spectral analysis indicated that EGCG prevents the perox

120 Mass spectral analysis indicated that isoforms corresponding

121 Spectral analysis indicated that orientation of the spin

122 Circular dichroism spectral analysis indicated the presence of 8% alpha-hel

123 Infrared spectral analysis indicated weak interactions through hy

124 Spectral analysis is a quick and non-destructive method

125 Mass spectral analysis is an increasingly common method used

126 cally, whole-brain topographic mapping using spectral analysis is responsible for one of the greatest

127 distribution analysis (MIDA) and isotopomer spectral analysis (ISA) represent such methods and are b

128 ractional synthesis calculated by isotopomer spectral analysis (ISA), a nonlinear regression method,

129 Combined modelling of the magnetic data and spectral analysis leads to an estimate of the double-exc

130 cular problem arose when refined photosphere spectral analysis led to reductions of 30-50 per cent in

131 Spectral analysis may identify high-frequency sources.

132 We designed a novel, non-spectral-analysis method of separating ultradian from ci

133 While the unsupervised spectral analysis methods suggested a slight suppression

134 Spectral analysis methods were developed to obtain IR sp

135 Our method, Multitaper Circularly Averaged Spectral Analysis (MiCASA), identifies differences in th

136 Nomographic spectral analysis of 294 A1 and A2 cone pigment literatu

137 Mass spectral analysis of 4-HNE-treated recombinant PTEN dete

138 Imino spectral analysis of a (15)N-labeled central G clearly s

139 ture selection that facilitates the accurate spectral analysis of a chemical species of interest in t

140 data, including hierarchical clustering with spectral analysis of ancestry; and empirical Bayesian an

141 Spectral analysis of bathymetry in a region they highlig

142 Spectral analysis of body surface recordings during AF a

143 Along with results derived from spectral analysis of cardiovascular variability, these f

144 purple colony colour, and immunoblotting and spectral analysis of cell extracts.

145 Our approach relies on spectral analysis of complex but experimentally efficien

146 for the rapid ionization and subsequent mass spectral analysis of compounds in drug discovery.

147 stry and the relatively straightforward mass spectral analysis of DEPC-labeled proteins, we expect th

148 The quantitative spectral analysis of digitalized scalp EEG recordings wa

149 Mass spectral analysis of Dpo4-catalyzed extension products r

150 Spectral analysis of EEG was done with calculation of me

151 High-resolution spectral analysis of electrical brain activity before an

152 ssue was examined in the current study using spectral analysis of electroencephalogram (EEG) data dur

153 Mass spectral analysis of extended DNA primers showed >/=95%

154 ange assay reagent was reformulated by using spectral analysis of ferric-xylenol orange complex to de

155 baroreceptor reflex sensitivity), short-term spectral analysis of heart rate variability (low frequen

156 The high-frequency band in spectral analysis of heart rate variability indicated a

157 procedure for accurate mass measurement and spectral analysis of heterogeneous macromolecular assemb

158 odels confirmed reliability of detection and spectral analysis of histamine with SERS.

159 Mass spectral analysis of HRP II also revealed alpha-amino me

160 The spatio-temporal dynamics of single-trial spectral analysis of iEEG recordings revealed sustained

161 Mass spectral analysis of incorporation products also showed

162 To evaluate the clinical utility of spectral analysis of intraocular pressure pulse wave in

163 We used high-order spectral analysis of LFP recorded from the dorsal and in

164 ation reactions for gas chromatographic-mass spectral analysis of metabolites with large numbers of s

165 arness its unique properties for imaging and spectral analysis of molecular interactions in cell popu

166 difying peptides, as well as for facile mass spectral analysis of peptide fragment ions with increase

167 Mass spectral analysis of peptides in tumor-derived lysates w

168 that clips around a leaf for rapid, in vivo spectral analysis of plant metabolites including caroten

169 A spectral analysis of precipitation and konzo is performe

170 n was performed to determine whether partial spectral analysis of preganglionic sympathetic nerve dis

171 nts, (2). solvent viscosity dependence, (3). spectral analysis of reaction intermediates, (4). equili

172 Spectral analysis of RR interval variability and spontan

173 Spectral analysis of RR variability showed a decreased l

174 power of the polarization mapping method for spectral analysis of SFG spectra.

175 notice: Thermal equilibration of 1 and mass spectral analysis of sialyl phosphates suggest that the

176 EEG spectral analysis of signals from frontal regions sugges

177 Spectral analysis of spikes and fields revealed evidence

178 agal and sympathetic control, as assessed by spectral analysis of spontaneous beat-to-beat variabilit

179 Spectral analysis of STN local field potentials revealed

180 The algorithm utilizes the power spectral analysis of the acoustic pulse signal to detect

181 Electrospray ionization mass spectral analysis of the acyl chains purified from the r

182 Mass spectral analysis of the anionic lipids of a type 3 S. p

183 Spectral analysis of the data and kinetic modeling was p

184 Spectral analysis of the DCT signals was the only method

185 Here, UV-vis spectral analysis of the IDI-2 reaction revealed the acc

186 Mass spectral analysis of the inactivated cis-CaaD shows that

187 ree-carbon linkage, consistent with the mass spectral analysis of the inactivated enzyme.

188 Furthermore, spectral analysis of the melanopsin photoproduct shows t

189 Based upon spectral analysis of the midtroposphere wind field, we s

190 DART mass spectral analysis of the probe detected ions with mass-t

191 Mass spectral analysis of the reaction mixture and independen

192 By preforming temporal spectral analysis of the received spatial image and by i

193 Here we report the first mass spectral analysis of the RS domain of ASF/SF2, a prototy

194 to the EEG system used and quantitatively by spectral analysis of the rsEEG.

195 dition to sleep-wake scoring, we performed a spectral analysis of the sleep electroencephalogram.

196 Mass spectral analysis of the sulfinato products using a mixt

197 nsiting exoplanets have been discovered, but spectral analysis of their atmospheres has so far been d

198 Spectral analysis of these carbon-isotope measurements a

199 rrous (reduced) heme was identified based on spectral analysis of truncation and substitution mutants

200 Mass spectral analysis of tryptic peptides derived from human

201 s labeled with the fluorophore based on mass spectral analysis of tryptic peptides.

202 (280) and Cys(340)-Cys(354) by HPLC and mass spectral analysis of tryptic peptides.

203 though it has previously been shown that the spectral analysis of ultrasound backscatter data is sens

204 r speech and music perception; in touch, the spectral analysis of vibratory signals has been implicat

205 e on the dynamics of perception, we combined spectral analysis of visual input signals, neural modeli

206 trust in the results obtained from automated spectral analysis of, for example, natural organic mater

207 We measured HRV by power spectral analysis on 24-hour ambulatory electrocardiogra

208 In addition, we performed mass spectral analysis on endogenous Notch purified from Dros

209 respond to ligand binding, complicating EPR spectral analysis, particularly for distance measurement

210 With this strategy, 2D NMR spectral analysis permits site-specific characterization

211 peak for each isotope, resulting in a simple spectral analysis problem with minimal peak overlap.

212 The spectral analysis program NMRView is now able to read th

213 Spectral analysis proved the existence of respiratory cy

214 SERS spectral analysis provided sufficient sensitivity (0.5-5

215 This novel approach to EPR spectral analysis provides insight into the positional e

216 Power spectral analysis (PSA) provides a powerful tool for det

217 ogan analysis (r(2) = 0.99; slope, 0.88) and spectral analysis (r(2) = 0.99, slope, 0.93) generated e

218 Fluorescence spectral analysis revealed an intense excimer band when

219 FT-IR spectral analysis revealed electrostatic interaction bet

220 Spectral analysis revealed several molecular signatures

221 Mass spectral analysis revealed that 1,N (6)-erA in DNA gener

222 rounds were imaged using HSI, and subsequent spectral analysis revealed that most reflectance spectra

223 UV-visible spectral analysis revealed that oxidation of ferrocytoch

224 Electroencephalographic (EEG) power spectral analysis revealed that selective REM sleep depr

225 Spectral analysis revealed that the characteristic 695 n

226 The spectral analysis revealed the presence of several eleme

227 FTIR spectral analysis revealed the presence several aromatic

228 Proton NMR spectral analysis revealed their existence as an insepar

229 The tryptic peptide map (mass spectral analysis) revealed that the Glu636 substitution

230 (2) Transient absorption spectral analysis reveals a very fast rising of transien

231 Mass spectral analysis reveals different photocleavage produc

232 Spectral analysis reveals its peculiar characteristics,

233 Spectral analysis reveals pronounced near-IR absorptions

234 Spectral analysis reveals that Ent interferes with compo

235 EPR spectral analysis reveals that the [2Fe-2S] cluster in t

236 A more detailed spectral analysis reveals that the positively biased spe

237 Mass spectral analysis reveals that TSRs from mature, secrete

238 e oscillation decay signal is subjected to a spectral analysis routine converting into a frequency sp

239 were obtained using rank-shaping exponential spectral analysis (RS-ESA) (both plasma and reference in

240 e rank-shaping regularization of exponential spectral analysis (RS-ESA).

241 e-compartment basis function model (BFM) and spectral analysis (SA).

242 e-compartment basis function model (BFM) and spectral analysis (SA).

243 bination with proteolytic digestion and mass spectral analysis show that an anion-binding site locati

244 For K1, spectral analysis showed a negative bias of 16%.

245 FTIR spectral analysis showed seed flour to encompass major f

246 On the other hand, spectral analysis showed statistically significant diffe

247 er desorption ionization time-of-flight mass spectral analysis showed that 9-thiastearoyl-ACP had a m

248 Power spectral analysis showed that delta power increased from

249 Moreover, spectral analysis showed that EEEs lasting 0.8-2 s occur

250 The mass spectral analysis showed that leaf disc suspended methan

251 Mass spectral analysis showed that O-fucose occurred at high

252 Power spectral analysis showed that slow frequency oscillation

253 Importantly, circular dichroism (CD) spectral analysis showed that SUV3-83, at pH 5.0, adopts

254 However, circular dichroism spectral analysis showed that the deletion of the N-term

255 While linear cross-spectral analysis showed that the relationship between p

256 A fine time resolution spectral analysis shows power-law decays of the peak ene

257 For exponentiated sine-wave signals, spectral analysis shows that the chemotaxis pathway acts

258 Mass spectral analysis shows that the generation of 2 entails

259 selective precursor to furfuryl alcohol, and spectral analysis shows that the Pt/TiO(2) interface is

260 to verification of the algorithm output with spectral analysis (step 4).

261 ng and microspectroscopy with software-based spectral analysis, successful detection of vital cells f

262 Furthermore, our NMR spectral analysis suggests that disruption of an unstruc

263 Spectral analysis suggests that it is a pi-radical, anal

264 L, and P polypeptide chains followed by mass spectral analysis supports this view.

265 Here, we demonstrate a spectral analysis technique for resolving time dependenc

266 oscopy, we have developed a regression-based spectral analysis technique that has a detection level o

267 ure, as documented via detailed studies with spectral analysis techniques in two patients.

268 QUS spectral-analysis techniques were performed on radiofreq

269 -value decomposition and nonlinear Laplacian spectral analysis, that can recover the history and dyna

270 X-band electron paramagnetic resonance (EPR) spectral analysis, this indicates that the g = 4.1 EPR s

271 observations are further supported by basic spectral analysis, titration binding assay, gel electrop

272 The method applies spectral analysis to a matrix obtained by combining corr

273 Here we use spectral analysis to characterize the variability of wat

274 clarify these issues by applying categorical spectral analysis to high-resolution nucleosome maps in

275 Here we use a power spectral analysis to investigate impact of presence of c

276 ined polymers and performed spatial-temporal spectral analysis to investigate its origin.

277 This study uses correlation coefficients and spectral analysis to investigate whether synchrony chang

278 nges caused by apoptosis, the sensitivity of spectral analysis to oncosis or ischemic cell death had

279 rform targeted in situ ambient top-down mass spectral analysis to study the pattern of proteins, lipi

280 developed a comprehensive and sensitive mass spectral analysis to survey eicosanoid release from endo

281 e essential for the realization of automated spectral analysis tools for large scale 2D-IR screening

282 r evaluating the performance of quantitative spectral analysis tools in conditions that better approx

283 .001), demonstrating the reliability of the spectral analysis used here.

284 Classical nonparametric spectral analysis uses sliding windows to capture the dy

285 ion trap mass spectrometers and product ion spectral analysis using SEQUEST were shown to be compati

286 Spectral analysis was used to separate the responses to

287 Using a spectral analysis, we demonstrate that the observed vari

288 Using power spectral analysis, we evaluated the temporal profiles of

289 E STATEMENT Using fMRI, as well as sensitive spectral analysis, we found a new homunculus in the prec

290 Using spectral analysis, we found spatially tuned elevated pow

291 Using the quantitative spectral analysis, we found the peak wavelengths of ICG

292 By using power and coherence spectral analysis, we identified a beta-synchronized lar

293 Herein, employing power spectral analysis, we show that the temporal behavior of

294 Optical studies and spectral analysis were performed before and after retina

295 X11 procedure and spectral analysis were performed to confirm seasonal var

296 sma-input-based Logan graphical analysis and spectral analysis were used to generate parametric volum

297 th various linear regression start times and spectral analysis with multiple sets of basis functions.

298 We hypothesized that spectral analysis would be a more sensitive and robust m

299 Mass spectral analysis yielded a novel species (m/z 1754.3) t

300 Both Logan graphic analysis and spectral analysis yielded V(T) that showed high correlat