ライフサイエンスコーパス: QCA

1 QCA and IVUS studies were performed before and after int

2 QCA and optical coherence tomographic analyses were perf

3 QCA and QCU measurements of 1.5- to 2.5-mm residual lume

4 QCA can be used as an accurate method of poststent asses

5 QCA circuits with better speed and reduced power dissipa

6 QCA demonstrated a 15% increase in coronary artery diame

7 QCA measurements included minimal luminal diameter and d

8 QCA measurements included minimum lumen diameter (MLD) a

9 QCA systematic error (SE) varied from 0.01 for the Wikto

10 3-QCA was likely formed through oxidative ring cleavage an

11 ation product, 3-quinolinecarboxylic acid (3-QCA), was identified by liquid chromatography high resol

12 oducts were formed via covalent binding of 3-QCA with DOM molecules of above-average O/C and H/C rati

13 )(R432Q,R440A) mutant, yielding the 5-HT(3A)(QCA) construct with a gamma of 17.7 +/- 0.4 pS.

14 Modification of 5-HT(3A)(QCA) receptors by MTSEA or 2-(trimethylammonium) ethyl-M

15 y (tau = 15 s) reduced the gamma of 5-HT(3A)(QCA) receptors in inside-out patches, an effect reversed

16 Dedicated 3D QCA facilitates reproducible coronary artery volume esti

17 volume demonstrated a low variability of 3D QCA (r = 0.996, p < 0.001).

18 exahydro-1H-cyclop enta[h]quinolin-3-one 3d (QCA-1093) as a novel nonsteroidal glucocorticoid recepto

19 For detection of a 50% QCA stenosis, sensitivity was 64.6% and specificity was

20 s a >=67% QCA stenosis in GadaCAD1 and >=63% QCA stenosis in GadaCAD2.

21 imal threshold for detecting CAD was a >=67% QCA stenosis in GadaCAD1 and >=63% QCA stenosis in GadaC

22 The sensitivity of CMR for a 70% QCA stenosis was noninferior and nonsuperior to gated SP

23 For detection of a >=70% QCA stenosis, the sensitivity of CMR was 78.9%, specific

24 evalence of CAD was 27.8% defined by a >=70% QCA stenosis.

25 rty necessary for their use as elements of a QCA device.

26 We also propose a QCA architecture we call high-dimensional GBS, which is

27 nstrating a quantum computational advantage (QCA) by outperforming the most powerful classical superc

28 aper devises a quantum contingency analysis (QCA) method to identify outage scenarios on Noisy Interm

29 ent between multidetector CT angiography and QCA to detect a coronary stenosis of at least 50%.

30 (P < .001) with disagreement between CTA and QCA in multivariable analysis after controlling for sex,

31 stenosis between clinical interpretation and QCA and a Cohen weighted kappa statistic.

32 stenosis between clinical interpretation and QCA was 8.2+/-8.4%, reflecting an average higher percent

33 here was a good correlation between MDCT and QCA percent stenosis (r = 0.75, p < 0.01, SEE = 15%).

34 man correlation coefficient between MSCT and QCA was 0.76 (p < 0.0001).

35 with severity of atherosclerosis by MSCT and QCA.

36 be assessed quantitatively by both MSCT and QCA.

37 CMR, SPECT, and QCA were evaluated by independent central core lab reade

38 entional quantitative coronary angiographic (QCA) and intravascular ultrasound (IVUS) predictors of r

39 lidity of quantitative coronary angiography (QCA) after stent placement has been questioned because t

40 ned using quantitative coronary angiography (QCA) and an intracoronary Doppler-tipped guidewire.

41 performed quantitative coronary angiography (QCA) and intravascular ultrasound (IVUS) in 37 lesions w

42 Complete quantitative coronary angiography (QCA) and IVUS were obtained in 104 patients before and a

43 combined quantitative coronary angiography (QCA) and single-photon emission CT (SPECT) or QCA alone.

44 onal (3D) quantitative coronary angiography (QCA) application, we have evaluated the characteristics

45 efined by quantitative coronary angiography (QCA) but computed tomography coronary angiography could

46 ent using quantitative coronary angiography (QCA) in 175 randomly selected patients undergoing electi

47 asured by quantitative coronary angiography (QCA) on the benefit of complete revascularization.

48 The quantitative coronary angiography (QCA) reference diameter (3.91 +/- 0.76 mm, mean +/- 1 SD

49 invasive quantitative coronary angiography (QCA).

50 efined by quantitative coronary angiography (QCA).

51 enosis by quantitative coronary angiography (QCA).

52 by using quantitative coronary angiography (QCA).

53 based on quantitative coronary angiography (QCA).

54 MSCT) and quantitative coronary angiography (QCA).

55 1 days of quantitative coronary angiography (QCA).

56 mpared to quantitative coronary angiography (QCA).

57 IVUS) and quantitative coronary angiography (QCA).

58 aboratory quantitative coronary angiography (QCA).

59 Using quantitative angiography (QCA) and intravascular ultrasound (IVUS), we studied 107

60 e >0.8 or quantitative coronary angiography [QCA] showing no percentage diameter stenosis >/=70% in 1

61 The quantum-dot cellular automata (QCA) approach offers an attractive alternative in which

62 of the molecular quantum cellular automata (QCA) cell array by the electric field from the Fe(III)-R

63 Quantum cellular automata (QCA) evolve qubits in a quantum circuit depending only o

64 ementation of quantum-dot cellular automata (QCA) molecular computing.

65 its utilizing quantum-dot cellular automata (QCA) technology.

66 ary diameter (2.69 +/- 0.33 mm) at baseline (QCA of three segments of LAD and three segments of left

67 Blinded comparison between QCA and AI-CSQ was measured on a per-vessel and per-pati

68 ktor groups, there was no difference between QCA and QCU diameters.

69 he results demonstrated that type II binding QCA analogues were metabolically less stable (2- to 12-f

70 true" diameters of any stented lumen by both QCA and quantitative ultrasonic (QCU) measurement postst

71 By QCA, 25 women (27%) had > or = 50% coronary stenosis, in

72 ical interpretation, 56 (26.3%) were <70% by QCA, although none were <50%.

73 ereas approximately one quarter were <70% by QCA.

74 e 16 (94%) transplant patients classified by QCA as having occlusive coronary artery disease and 29 o

75 were euthanized at day 28, and evaluation by QCA revealed a significant improvement in mean lumen los

76 Of the 791 segments identified by QCA, 754 (95%) were analyzable by MDCT.

77 nts were largest for intermediate lesions by QCA (50% to <70%), with variation existing across sites.

78 rvention as more severe than measurements by QCA.

79 m lumen diameter (MLD) (2.26 +/- 0.82 mm) by QCA correlated less well with IVUS (2.8 +/- 0.82 mm, r =

80 gments with >20% coronary artery stenosis by QCA but also in 12 (15%) of 80 segments without angiogra

81 t the type II binding quinoline carboxamide (QCA) compounds were metabolically less stable.

82 is work thus opens the path to demonstrating QCA with programmable photonic processors.

83 l lumen and arterial area); 2) follow-up DS (QCA lesion length); and 3) follow-up MLD (QCA lesion len

84 66 segments of the radial graft on the first QCA study was 0.170 mm (95% confidence interval [CI] 0.1

85 e to the strongest theoretical proposals for QCA.

86 s a design of a highly efficient RAM cell in QCA, utilizing a combination of a 3-input and 5-input Ma

87 In that instance, QCA may underestimate the luminal diameter.

88 S (QCA lesion length); and 3) follow-up MLD (QCA lesion length and preinterventional MLD and DS and I

89 e molecular system which acts as a molecular QCA cell.

90 There was no QCA inaccuracy for a 3.0-mm lumen within the Palmaz-Scha

91 he proposed study analyses the cell count of QCA and the circuit delay.

92 ch computations may enable the employment of QCA in applications like the simulation of strongly-corr

93 transformations, we synthesized a library of QCA compounds that could undergo N-dealkylation, O-dealk

94 Univariate and multivariate predictors of QCA restenosis (> or = 50% diameter stenosis at follow-u

95 Cryptography based on QCA design methodologies is a novel concept in digital c

96 CA) and single-photon emission CT (SPECT) or QCA alone.

97 Here, we experimentally realize QCA on a digital quantum processor, simulating a one-dim

98 0-mm residual lumen within the Wiktor stent, QCA underestimated the luminal size by -0.1 mm.

99 The QCA DS measured 42 +/- 16%.

100 The QCA reference decreased from 3.51 +/- 0.46 mm to 3.22 +/

101 Finally, for the QCA analogues with aza-heteroaromatic rings, we did not

102 tent tissue burden, was not reflected in the QCA measurements, and may contribute to recurrence.

103 CA and SPECT and 64% (59 of 92) according to QCA alone.

104 lence of CAD was 39% (36 of 92) according to QCA and SPECT and 64% (59 of 92) according to QCA alone.

105 evaluate CTA diagnostic accuracy compared to QCA in patients according to calcium score and pre-test

106 c accuracy of 64-slice MSCT in comparison to QCA in a broad spectrum of patients.

107 476 Palmaz-Schatz stents for whom follow-up QCA data were available 5.5 +/- 4.8 months (mean +/- SD)

108 lesion stenosis severity was measured using QCA in the angiographic core laboratory in 3,851 patient

109 ies identify line and generation outages via QCA in typical power systems.

110 CCTA and invasive coronary angiography with QCA.

111 When compared with QCA alone, diagnostic accuracy of CT perfusion and MR pe

112 When compared with QCA and SPECT, per-patient diagnostic accuracy of perfus

113 a high diagnostic performance compared with QCA both on a per-patient and per-vessel basis, with hig

114 tive predictive values of MDCT compared with QCA for the detection of segments with significant (>50%

115 revascularization in the 2,479 patients with QCA stenosis >=60% (2.5%/year vs. 4.2%/year; hazard rati

116 primary outcome was reduced in patients with QCA stenosis >=60% (2.9%/year vs. 6.9%/year; HR: 0.43; 9

117 lyses, the treatment effect in patients with QCA stenosis >=60% versus <60% on the first coprimary ou

118 to 0.79), but not in the 1,372 patients with QCA stenosis <60% (3.0%/year vs. 2.9%/year; HR: 1.04; 95

119 0.54) to a greater extent than patients with QCA stenosis <60% (3.3%/year vs. 5.2%/year; HR: 0.65; 95