ライフサイエンスコーパス: spectral analysis

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

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

3 sympathetic modulation was assessed by power spectral analysis.

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

5 med using autocorrelation function plots and spectral analysis.

6 merical study using the wavenumber-frequency spectral analysis.

7 Alternans was measured by APD and spectral analysis.

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

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

10 analyzed at the pattern reversal rate using spectral analysis.

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

12 g with anthanthrene is disqualified based on spectral analysis.

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

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

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

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

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

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

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

20 cillosamine using radiolabeled HPLC and mass spectral analysis.

21 annels and remove samples for very sensitive spectral analysis.

22 peak assignments by retention time and mass spectral analysis.

23 ortening and elongation was determined using spectral analysis.

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

25 he multiple-indicator dilution technique and spectral analysis.

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

27 lar information in static secondary ion mass spectral analysis.

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

29 osal layer was documented and confirmed with spectral analysis.

30 pressure and CBF velocity were quantified by spectral analysis.

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

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

33 activity as determined by on-line slow-wave spectral analysis.

34 y high-performance liquid chromatography and spectral analysis.

35 Gb5), were unambiguously confirmed by 1H-NMR spectral analysis.

36 or sample preparation/transfer prior to mass spectral analysis.

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

38 n optical system without extensive numerical spectral analysis.

39 rganelles and collect the emitted signal for spectral analysis.

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

41 lated phosphatidylcholines were confirmed by spectral analysis.

42 included signal preprocessing, filtering and spectral analysis.

43 pheric pressure chemical ionization for mass spectral analysis.

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

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

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

47 er limb tremor was detected by accelerometry/spectral analysis above which tremor was always abolishe

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

49 The spectral analysis allowed detection of the major chemica

50 nsyl derivatization coupled with tandem mass spectral analysis allowed the development of a highly se

51 Spectral analysis allowed us to identify signals from mu

52 Time sequenced spectral analysis also highlights the epileptiform EEG p

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

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

55 The ESR spectral analysis also yields phase boundaries and coexi

56 lyses are carried out on isochore sequences: spectral analysis, analysis of variance, and segmentatio

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

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

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

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

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

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

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

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

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

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

67 Mass spectral analysis and studies with Cys mutants determine

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

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

70 BRS was computed by spectral analysis and the sequence and controlled breath

71 based on amino terminus sequencing and mass spectral analysis, and it catalyzes the oxidation of hyp

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

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

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

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

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

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

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

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

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

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

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

83 Spectral analysis can thus potentially serve as a gold s

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

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

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

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

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

89 3-tissue compartmental model, 3 variants of spectral analysis, deconvolution, and Patlak analysis) w

90 Mass spectral analysis demonstrated that BES inactivation of

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

92 Further mass spectral analysis demonstrated that Pup was attached to

93 Furthermore, spectral analysis demonstrated weaker post-stimulus beta

94 Mass spectral analysis demonstrates that irreversible inactiv

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

96 Ordinary spectral analysis did not demonstrate age-related differ

97 Spectral analysis did not indicate strong affinity of th

98 Although mass spectral analysis did not unambiguously identify the rel

99 Raman spectral analysis disclosed that the chemical interactio

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

111 Spectral analysis, heme-associated peroxidase activities

112 Mass spectral analysis identified the ligand as a mixture of

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

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

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

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

117 d at the gamma-meso position alone, and mass spectral analysis indicated loss of formate from the ald

118 Spectral analysis indicated that both NO and CO bind to

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 We speculate that HRV power spectral analysis may be a useful adjunct in determining

132 Spectral analysis may identify high-frequency sources.

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

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 backscattered intravascular ultraso

142 Spectral analysis of bathymetry in a region they highlig

143 Spectral analysis of body surface recordings during AF a

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

145 molecules were initially identified by mass spectral analysis of cell extracts from bacteria labeled

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

147 Spectral analysis of climate data shows a strong narrow

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

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

150 The quantitative spectral analysis of digitalized scalp EEG recordings wa

151 Mass spectral analysis of Dpo4-catalyzed extension products r

152 Spectral analysis of EEG was done with calculation of me

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

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

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

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

157 CAA was obtained from power spectral analysis of heart rate variability (HRV) record

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

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

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

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

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

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

164 Mass spectral analysis of incorporation products also showed

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

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

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

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

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

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

171 A spectral analysis of precipitation and konzo is performe

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

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

174 Spectral analysis of RR interval variability and spontan

175 Spectral analysis of RR variability showed a decreased l

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

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

178 EEG spectral analysis of signals from frontal regions sugges

179 Spectral analysis of spikes and fields revealed evidence

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

181 Spectral analysis of STN local field potentials revealed

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

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

184 Spectral analysis of the data and kinetic modeling was p

185 Spectral analysis of the DCT signals was the only method

186 Here I use spectral analysis of the fossil record to test whether d

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

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

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

190 Mass spectral analysis of the major dissociable product gave

191 Furthermore, spectral analysis of the melanopsin photoproduct shows t

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

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

194 Mass spectral analysis of the reaction mixture and independen

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

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

197 en the two were individually extracted using spectral analysis of the scalp-recorded EEG.

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

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

200 Spectral analysis of these carbon-isotope measurements a

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

202 Mass spectral analysis of tryptic peptides derived from human

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

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

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

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

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

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

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

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

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

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

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

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

215 Spectral analysis proved the existence of respiratory cy

216 SERS spectral analysis provided sufficient sensitivity (0.5-5

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

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

219 Fluorescence spectral analysis revealed an intense excimer band when

220 FT-IR spectral analysis revealed electrostatic interaction bet

221 Spectral analysis revealed several molecular signatures

222 Kinetic and spectral analysis revealed six distinct states in the NR

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

224 UV-visible spectral analysis revealed that oxidation of ferrocytoch

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

226 Spectral analysis revealed that the characteristic 695 n

227 The spectral analysis revealed the presence of several eleme

228 FTIR spectral analysis revealed the presence several aromatic

229 Proton NMR spectral analysis revealed their existence as an insepar

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

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

232 Mass spectral analysis reveals different photocleavage produc

233 Spectral analysis reveals its peculiar characteristics,

234 Spectral analysis reveals pronounced near-IR absorptions

235 Spectral analysis reveals that Ent interferes with compo

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

237 Spectral analysis reveals that the Asp-280-Ala mutant do

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

239 Mass spectral analysis reveals that TSRs from mature, secrete

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

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

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

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

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

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

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

247 Moreover, mass spectral analysis showed efficient transfer of GSH from

248 FTIR spectral analysis showed seed flour to encompass major f

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

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

251 Power spectral analysis showed that delta power increased from

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

253 Anaerobic spectral analysis showed that NO from SNAP bound to the

254 Power spectral analysis showed that slow frequency oscillation

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

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

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

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

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

260 Mass spectral analysis shows that the generation of 2 entails

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

262 Spectral analysis shows that there are GC content fluctu

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

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

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

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

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

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

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

270 QUS spectral-analysis techniques were performed on radiofreq

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

272 cally that even in conventional (unweighted) spectral analysis there should be approximate counterpar

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

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

275 We used Blackman-Tukey spectral analysis to assess sympathetic and parasympathe

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

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

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

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

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

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

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

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

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

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

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

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

288 Spectral analysis was used to separate the responses to

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

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

291 Using spectral analysis, we found spatially tuned elevated pow

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