Sentence examples for evolution delay from inspiring English sources

Uni-dimensional selective COrrelation SpectroscopY (COSY) spectrum was recorded with 1024 scans, a 5 ms Gaussian selective excitation on the Ha resonance at −0.33 ppm and a 17.5 ms evolution delay.

H CPMG experiments were performed using the relaxation-compensated CPMG pulse sequence with a constant-time CPMG evolution delay of 15 ms, and the N CPMG experiments were performed using a TROSY CPMG sequence with a constant-time relaxation delay of 30 ms. Data were collected at ∼15 different CPMG frequencies in an interleaved manner.

J1(C−H) filtered HMBC experiments were conducted using a 2048 × 256 data matrix, a J(C−H) value of 9 Hz for detection of long-range couplings resulting in an evolution delay of 55 ms, a J1(C−H) filter delay of 145 Hz (34 ms) for the suppression of one-bond couplings, a recycle delay of 1.5 s, and 128 scans per increment.

J1(C H) filtered H C HMBC experiments were acquired using a 2048 × 128 data matrix, a J(C H) value of 9 Hz for detection of long-range couplings resulting in an evolution delay of 55 ms, J1 C H) filter delay of 145 Hz (34 ms) for the suppression of one-bond couplings, a recycle delay of 1.5 s, and 144 scans per increment.

The relaxation and evolution delays [1/4 1J (C, H)] were set to 2.0 s and 1.9 ms, respectively.

We present a formalism for the analysis of sensitivity of nuclear magnetic resonance pulse sequences to variations of pulse sequence parameters, such as radiofrequency pulses, gradient pulses or evolution delays.

However, due to tumor evolution, the delay in our study between the base‐line FDG and the 90Y-microsphere scans makes a tumor co-registration on a voxel basis between the two scans impossible.

Factors associated with unfavorable evolution were: delay in the introduction of anti-TB treatment more than 30 days from the first symptom (p=0.001); the presence of other opportunistic infections apart from TB (p=0.0001), low adherence to treatment (p=0.0001).

We investigate how to use the available information about the evolution of delays for adapting the control law.

We investigate how to use the available information about the evolution of delays for adapting the control law in real time.

which is the same as (23), the evolution of the delay through time is shown in Figure 8. Figure 7 Delay evolution through time.