ライフサイエンスコーパス: frequency analysis

1 traditionally employed for complete genomic frequency analysis.

2 lation bottleneck effect as judged by allele frequency analysis.

3 d = 10) and feature extraction from the time-frequency analysis.

4 hlea provides the mechanical basis for sound frequency analysis.

5 d capturing, 2) impedance conversion, and 3) frequency analysis.

6 critically underlies cochlear passive sound frequency analysis.

7 bar IVDs were assessed by means of principal frequency analysis.

8 to whole-genome sequencing prior to mutation frequency analysis.

9 sed approach: an entropy measure followed by frequency analysis.

10 ng spatiotemporal QRST cancellation and time-frequency analysis.

11 quotient (ISQ) was recorded using resonance frequency analysis.

12 mustached bat is highly specialized for fine frequency analysis.

13 ted the follow-up visit were included in the frequency analysis.

14 e use of host-guest peptides and statistical frequency analysis.

15 ry systems, without a cochlea for mechanical frequency analysis.

16 leukin 2 and quantitated using CTL precursor frequency analysis.

17 1 x 10(-2) ccSTP/g) and a capability of high frequency analysis (1 measure every 2 s), the CF-MIMS (C

18 Upon single-frequency analysis, a second calibration curve with grea

19 Frequency analysis also revealed important disparities b

20 l macroscopic conditions, by performing time-frequency analysis and by analyzing the evolution of the

21 rainsular propagation were computed via time frequency analysis and epileptogenicity mapping.

22 ihepatic lymph nodes were analyzed by clonal frequency analysis and sequencing.

23 2 females, mean age = 22.4 years) using time-frequency analysis and time correlation with motor signs

24 gression was monitored by genome-wide marker frequency analysis, and SMC translocation was monitored

25 t separates the filtering operation from the frequency analysis, and the frequency-warped version of

26 ing for beam steering with a compressed time-frequency analysis approach for depth retrieval.

27 practice of EEG baseline correction in time-frequency analysis, as it may obscure significant modula

28 Statistical frequency analysis based on literature phrase extraction

29 EMD helps in the effective time frequency analysis by disintegrating the EEG signal in t

30 Frequency analysis by the cochlea forms a key foundation

31 Third, marker frequency analysis can be used to reveal the average rep

32 As a result, dielectrophoretic frequency analysis can enable the independent fingerprin

33 However, conventional allele frequency analysis can miss HLA associations because man

34 ltures of PBMC from one donor, and precursor frequency analysis confirms that CTLs specific for these

35 Dominant frequency analysis could recover the frequency of activa

36 Precursor frequency analysis demonstrated CTL responses of similar

37 Precursor frequency analysis demonstrated that skin graft priming,

38 Frequency analysis demonstrated that this activity was a

39 Time-frequency analysis determined the spatiotemporal charact

40 y data, measured repeatedly with a resonance frequency analysis device and the MTD, for seven of 28 i

41 , which are not particularly specialized for frequency analysis, evokes centripetal BF shifts of cort

42 cy neurons, which are highly specialized for frequency analysis, evokes the centrifugal BF shifts of

43 alpha for internal consistency reliability, frequency analysis for floor and ceiling effects, and Sp

44 We developed a nonlinear frequency analysis for non-stationary responses, which c

45 the first time this approach, called marker frequency analysis, has been successfully applied to a e

46 Frequency analysis identified significant peaks with coh

47 t," "dental implants," "Osstell," "resonance frequency analysis," "implant stability quotient," "ISQ,

48 Infrared spectra and projected vibrational frequency analysis imply that intercalated Ca-bound CO2

49 Dominant frequency analysis in Cx40(-/-) RA demonstrated signific

50 Results from time-frequency analysis in frontal electrodes showed an incre

51 We demonstrate the use of digital frequency analysis in single nanoparticle electrochemica

52 Frequency analysis in the cochlea gives rise to V-shaped

53 orphological specializations that facilitate frequency analysis in the mammalian cochlea.

54 Marker frequency analysis indicated that initiation of replicat

55 useful for doped selections such as mutation frequency analysis, information content calculation, mul

56 Frequency analysis may have some advantages over back-av

57 ic, and histomorphometric results, resonance frequency analysis measurements were greater in the cont

58 Further, the Inverse-Frequency Analysis methodology provides robust statistic

59 Time-frequency analysis methods were applied to surface EMG r

60 to investigate, through novel usage of time-frequency analysis methods, the dynamics of hypoxia-indu

61 Here we used whole-genome marker frequency analysis (MFA) and found multiple peaks, indic

62 the features are based on their vibrational frequencies, analysis of rotational band structure, and

63 In fact, the frequency analysis of 46 known splice-altering MYBPC3 in

64 Frequency analysis of all four mutations in this field p

65 CTL frequency analysis of anti-LLO- or anti-p60-specific CTL

66 Time-frequency analysis of each seizure was performed to dete

67 of an anesthetic drug, ketamine, by Inverse-Frequency Analysis of eight million reports from the FDA

68 The frequency analysis of electroencephalographic (EEG) acti

69 The results of frequency analysis of EMG-EMG mirrored those for EEG-EMG

70 ctionary sEntiment Reasoner (VADER) and word frequency analysis of glaucoma specialist Healthgrades r

71 Using conventional time-frequency analysis of human electroencephalographic (EEG

72 Frequency analysis of individual clones indicates these

73 We then performed time-frequency analysis of LFPs and statistically compared th

74 rajectories of gamma-band bursts, using time-frequency analysis of LFPs recorded in macaque primary v

75 Time-frequency analysis of neural responses obtained by magne

76 dynamics and a wavelet-based time-dependent frequency analysis of nonstationary signals.

77 tiation from oriC, as demonstrated by marker frequency analysis of oriC and a locus near the replicat

78 hese CTL results were confirmed by precursor frequency analysis of peptide-specific gamma interferon-

79 pproach that integrates linear amplitude and frequency analysis of physical cardiac contraction, with

80 that this mode shape swapping underlies the frequency analysis of the mammalian cochlea.

81 le frequency complex demodulation based time-frequency analysis of the PPG signal.

82 Precursor frequency analysis of the vaccinia virus-specific memory

83 Spectral frequency analysis of these motion parameters was able t

84 In this research, vibration frequency analysis of three layered functionally graded

85 PMT activity have been described, population frequency analysis of TPMT alleles has not been well def

86 ding of brain function through the multiband frequency analysis of ultra-slow rs-fMRI data.

87 to identify "phenotypic signatures" by time-frequency analysis of unbalanced growth curves measured

88 Time x frequency analysis on EEG data was performed using Fouri

89 Implant stability was assessed by resonance frequency analysis over 4 months following placement.

90 vantage of techniques and theories from time frequency analysis, periodic gene expression profiles ar

91 Electroencephalography (EEG) and time-joint frequency analysis reveal EEG slowing followed by an inc

92 Mathematical modeling and high frequency analysis reveal myosin fluctuations on junctio

93 Frequency analysis revealed 5 kinematic variables distin

94 Time-frequency analysis revealed a dissociation between item

95 EEG time-frequency analysis revealed abrupt onset and end of 3-4

96 Co-occurrence frequency analysis revealed also an interplay between me

97 D and nonlucid REM sleep were minimal, mixed-frequency analysis revealed broad low alpha to gamma pow

98 Frequency analysis revealed significant oscillatory fluc

99 Intracerebellar cross-frequency analysis revealed that delta oscillations modu

100 Source level activity and frequency analysis revealed that sensorimotor, parietal,

101 Time-frequency analysis revealed that the utterance of filler

102 Frequency analysis revealed that the vast majority of CN

103 Time-frequency analysis revealed that while some features of

104 Time-frequency analysis revealed that, whereas the MMN reflec

105 and control) was evaluated using a resonance frequency analysis (RFA) (implant stability quotient [IS

106 d implant stability through use of resonance frequency analysis (RFA) and damping capacity analysis (

107 Resonance frequency analysis (RFA) provides a non-invasive assessm

108 t to abutment connection utilizing resonance frequency analysis (RFA).

109 Two fundamental aspects of frequency analysis shape the functional organization of

110 Time-frequency analysis shares some of the same problems that

111 Time-frequency analysis showed that the amplitude of alpha-de

112 A configural frequency analysis showed that whether an individual was

113 Rank frequency analysis shows the same two-component clonotyp

114 f atrial flutter cycle length using time and frequency analysis techniques.

115 It has been suggested from frequency analysis that cardiac fibrillation is driven b

116 opic vibrations in the katydid inner ear for frequency analysis, the biophysical mechanism leading to

117 Combined with advanced time-frequency analysis, these findings distinguish Higgs fro

118 lity calls were made by transposon insertion frequency analysis (TIFA).

119 Moreover, the ability of the frequency analysis to account for the IEs is evidence ag

120 We used time-frequency analysis to compare pop-out and search conditi

121 We used standard frequency analysis to describe the prevalence of key hos

122 This methodology can be used to perform a frequency analysis to discover the most frequent cleavag

123 used independent component analysis and time-frequency analysis to identify midoccipital alpha (8-12

124 Residue frequency analysis using a limited data set of 36 unique

125 ASSRs were analyzed with 1) time-frequency analysis using Morlet wavelet decomposition, 2

126 n characterized by geometry optimization and frequency analysis using the Becke three-parameter excha

127 llatory responses were analyzed with 1) time-frequency analysis using wavelets decomposition at senso

128 , 28 of whom were HIV infected, using clonal frequency analysis via heteroduplex mobility analysis of

129 A frequency analysis was done to examine the difference in

130 Significant power in the time-frequency analysis was seen within 1 to 20Hz, 20 to 70Hz

131 A classification methodology, based on time-frequency analysis, was developed and tested on these sy

132 Through spatial frequency analysis, we also report that our method gener

133 al multiple component algorithm and dominant frequency analysis were used to reconstruct SAN activati

134 Marker frequency analysis with gene arrays 1) reveals destructi