By utilizing a problem, which is typical to designing a water supply well field, several variants of this "stack ordering" approach are tested.
To reduce the extraneous cognitive load, we utilized a new problem format provided by the edX platform: drag-and-drop problems.
In this paper we propose and utilize a model problem that permits the theoretical analysis of iterative schemes for solving such problems.
During the TEP session, team members utilized a variety of group problem solving methods including a review of assessment results, root cause analysis, brainstorming solutions, small group discussion, and voting on key issues.
To circumvent this problem, we utilized a lentivirus-based delivery system to express physiologically relevant levels of human interleukin-7 (hIL-7) in Rag2-/-γc-/ mice following a single intravenous injection.
To rectify this problem, we utilized a simple realignment approach in which the reads were aligned (without gaps) to an 'indel-sensitive' reference sequence generated from consensus sequences of indels identified from the original BWA alignments.
To overcome this problem, we utilized a radiolabelled form of AR-C155858 to measure inhibitor binding to plasma membrane preparations from Xenopus oocytes expressing the different MCT1 mutants.
The evaluation was performed using two large-scale (660 design variables) optimization problems that utilized a dynamic, 27 degree-of-freedom, full-body gait model to predict new gait motions from a nominal gait motion.
This reveals that acquired knowledge was included in the separate blocks; however, due to the lack of horizontal links, these concepts could not supplement one another or be mutually retrieved when utilized in a problem-solving task.
To circumvent these problems, we utilized an in vitro recombinant protein expression system, to use surrogate protein-constructs as standards for quantification.
