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We propose in this study a technical simplification for inference about the total deviation index (TDI) estimate to assess agreement between two devices of normally-distributed measurements and describe its utility to evaluate inter- and intra-rater agreement if more than one reading per subject is available for each device.
With the aim of assessing agreement between two devices of continuous measurements via the total deviation index (TDI), the present study evaluated the performance of a simplified technical approximation of the TDI based on probability intervals and a tolerance interval (TI) approach for inference about the resulting TDI estimate.
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If the ranging distance is corrupted by the NLOS condition between two devices, the estimated location of the MMSE is out of the Min-max boundary, and the proposed approach decides its location as the center of the Min-max boundary.
Comparison between the two devices of the effects of enhanced training was consistent across the study groups: asthma patients of different ages, COPD patients and healthy adults.
The purpose of this study is to specify the number of samples and a simple procedure for a robust data conversion of radioactivity value between two devices and to elucidate the number of samples required.
The line of sight between two devices that can exchange radio packets lies in a solid angle that is narrow enough to generate very few false positives in crowded situations.
CONTASSGLU is a prospective clinical study that is designed to assess the level of agreement between two devices used to measure blood glucose.
The transfer of data between two devices is called "tethering" and is the only way to effectively grab data from one device to another without just allowing the person to solely use your device (tethering is a way to "share" your connection, and thereby "share" your data stream!).
LQI is an important metric available in IEEE 802.15.4 for detection of link quality between two devices.
Based on the ZigBee specification, the LQI is a mandatory term in the neighbour table, and this value could reflect the distance between two devices (is approximately proportional to the square of the space).
The ranging process is the action of estimating the distance between two devices.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com