The process model is an important "virtual experimentation tool" that can be effectively used to design and evaluate a control system for continuous pharmaceutical manufacturing.
And, there's a very good reason for the politically lopsided innovation: the liberal tendency towards community and collectivism, psychologists have found, breeds technological experimentation with tools of decentralized action.
Due to difficulties and challenges emerged in the experimentations, CFD tools play an important role in the design, optimization and scale-up of HSMs, yet the prediction accuracies still need to be improved.
ETI is an Electronic Tool Integration platform designed for project-oriented, domain-specific, public or private interactive experimentation with heterogeneous tools.
The outcome is the development of a model for an iterative process and a culture of reflective practice that encourages experimentation with new tools and pedagogical approaches in learning design.
Here, we present MUSCLE (multi-platform unbiased optimization of spectrometry via closed-loop experimentation), a software tool for robust and fully automated optimization of targeted LC-MS/MS analyses.
Then, students can be supported by providing them with a hypothesis menu or scratchpad, experimentation hints and strategies, tools for making predictions, and planning and monitoring tools.
Typical examples of learner actions included selection of objects for experimentation, selection of available tools, mouse moves, mouse drags or clicks on tools or objects, mouse drags when the learner was trying to draw a vector, as well as the time when the action was performed.
The paper highlights the pivotal role of systems technology to foster innovation, preview options, and support high-throughput computational experimentation, arguing that systems tools are largely under-deployed.
In this paper, we continue the dialog started by Roth [The Economist as Engineer: Game theory, Experimentation, and Computation as Tools for Design Economics, Fisher Schultz lecture, Econometrica 70 (2002) (4) 1341–1378] between economics and engineering in the context of design of markets.
