Middle Ordinate Validation
Middle Ordinate Validation - Related Videos
00:55
Ordinal Level of Measurement
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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio. Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
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Reliability and Validity
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Utilizing a Cranial Window to Visualize the Middle Cerebral Artery During Endothelin-1 Induced Middle Cerebral Artery Occlusion
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Cited by 4 •
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This article describes a method for visualizing rat cerebral arteries through a cranial window using temporal craniectomy in order to view proximal portions of the middle cerebral artery (Figure 1). This versatile method can be combined with various techniques of drug delivery to measure cerebral artery reactivity in vivo.
09:43
Mouse Model of Middle Cerebral Artery Occlusion
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We demonstrate in the video a method for producing a middle cerebral artery occlusion in adult mice using an intraluminal monofilament. We also show how to evaluate the extent of cerebral infarction by 2,3,5-triphenyltetrazolium chloride (TTC) staining.
01:15
Data Validation
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2024
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications. Key parameters for method validation include: Specificity: The ability of the method to accurately measure the target analyte without...
FAQs
The theoretical value M = R − √[R² − (L/2)²] is controlled by both radius and chord length. With the radius held constant, changing the chord changes the distance from the chord midpoint to the intended curve. Because the calculation uses half the chord, accurate chord measurement is essential to obtaining a reliable comparison value.
The chord midpoint provides the reference location for measuring the perpendicular offset to the circular curve. This creates a consistent geometric check between the straight chord and the designed arc. Using that defined position allows the measured ordinate to be compared directly with the value calculated from the specified radius and chord length.
A difference shows that the checked curve does not match the expected ordinate for the stated radius and chord. The discrepancy may reflect an error in measurement, layout, or construction, although the comparison alone does not identify which source caused it. Reviewing the radius, chord length, and field or design measurements helps focus the quality check.
First establish the intended radius and chord length, then identify the chord midpoint and measure the perpendicular offset to the curve. Calculate the theoretical ordinate using the stated formula and compare it with the measured value. The resulting agreement or discrepancy provides a direct check of the curve's geometric conformity.
The procedure is useful when engineers need to verify curved alignment during measurement, layout, construction, or design review. It can support checks for roads, railways, pipelines, and other curved infrastructure. Applying the comparison at these stages helps reveal deviations before they undermine alignment control or the acceptance of completed work.
A computer-aided curve can be checked by using its specified radius and chord length to calculate the expected middle ordinate, then comparing that result with the corresponding measured or design geometry. This provides an independent geometric check rather than relying only on the digital representation, supporting verification of alignment accuracy and design consistency.