Exact(1)
A method was created on the basis of ultrafast affinity extraction to determine both the dissociation rate constants and equilibrium constants for drug protein interactions in solution.
Similar(59)
A scoring method was created using an iterative process based on statistical and clinical considerations with American College of Rheumatology + (ACR+) patients and ACR– patients (n = 276), and validated with fibromyalgia and non-fibromyalgia patients (n = 312).
To measure the second transition a second method was created and run if confirmation was needed.
After an unscheduled run to determine retention times for peptides of interest, a scheduled MRM method was created using Skyline to include a 10 min window around the measured peptide retention time along with calculated optimum collision energies.
A reflector interpretation method was created to run the MS-MS 1kv positive acquisition method in batch mode on all spots.
In pursuance of thoroughly understanding and facilitating the evaluation of the radiological changes in the preloaded bone by Compliant Pre-Stress osseointegration (Compress Biomet, Warsaw, Indiana) a new staging method was created depicting four stages.
Another discovery was that a new dark prior method was created using Lemma 2. A cost function was designed to minimize the average centroid position while staying within the atmospheric dichromatic model.
In response to this restriction, a new efficient search method was created for finding the collapse margin ratio for a structural model using parallel computing.
For each sample spot, a data dependent acquisition method was created to select the seven most intense peaks(S/N>50), excluding those from the matrix, due to trypsin autolysis or acrylamide peaks, for subsequent MS/MS data acquisition.
A new product data management method was created in [4] to process the component maintenance and historical failure data of electric multiple units, which resulted in a 30% increase in the reliability.
Once the scoring method was created, a score threshold was defined to optimize the classification of patients at the individual level and ensure that a maximum number of ACR + patients were properly classified.
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