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Titlebook: Measuring Productivity in Education and Not-for-Profits; With Tools and Examp Kenneth Moore Book 2021 The Editor(s) (if applicable) and The

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樓主: cherub
21#
發(fā)表于 2025-3-25 04:01:02 | 只看該作者
22#
發(fā)表于 2025-3-25 11:15:41 | 只看該作者
Kenneth Mooreincreased sensitivity needed to detect low-abundant proteins. Sarcomeric and glycolytic enzymes are by far the most abundant proteins in muscle, masking detection and quantification of low-abundant proteins such as dystrophin, dystrophin-associated protein complex, cell signaling proteins, and trans
23#
發(fā)表于 2025-3-25 15:10:54 | 只看該作者
Kenneth Mooreincreased sensitivity needed to detect low-abundant proteins. Sarcomeric and glycolytic enzymes are by far the most abundant proteins in muscle, masking detection and quantification of low-abundant proteins such as dystrophin, dystrophin-associated protein complex, cell signaling proteins, and trans
24#
發(fā)表于 2025-3-25 18:38:30 | 只看該作者
Kenneth Moorealysis of the muscle proteome under different conditions (e.g. health versus disease). In the majority, proteomic studies have generated new insight by linking patterns of protein abundance or post-translational modification with different functional states. Such information is regarded as being sta
25#
發(fā)表于 2025-3-25 23:00:35 | 只看該作者
26#
發(fā)表于 2025-3-26 00:36:31 | 只看該作者
Introduction,ium for conducting analysis. The tutorial in the chapter assumes the reader has a base familiarity with the R programming language and demonstrates a few key features and packages that will be used throughout the book. It further explains how the reader can get the most value out of this resource.
27#
發(fā)表于 2025-3-26 05:06:03 | 只看該作者
Inputs and Outputs,ses two hypothetical school districts as a case study for measurement and benchmarking. The tutorial in this chapter demonstrates how to clean and prepare institutional data for analysis. It establishes common data structures that will be used for the remainder of the book. It then leads the reader
28#
發(fā)表于 2025-3-26 11:47:31 | 只看該作者
29#
發(fā)表于 2025-3-26 12:51:20 | 只看該作者
30#
發(fā)表于 2025-3-26 17:07:25 | 只看該作者
Productivity Change with Threshold Analysis, potential productivity portrayals that could be generated from a single set of data. The tutorial expands upon the case study of four universities from the previous chapter. It provides more data and shows how to further optimize the previous chapter’s code. It then demonstrates how to create both
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