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This dataset consists of 16 tables of measurements of the evolution of the two arms of women who underwent a mastectomy of one breast at the University Hospitals of Strasbourg (HUS) between 2011 and 2019, and who presented a lymphedema. The measurements correspond to repeated averages of perimeters (in cm) of the arms in different positions from the shoulder (indicated by a number in cm).
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Each record in the dataset includes 7 fields:
UserID, CurrentChannel, NextChannel, Date, TimeSection, StartTime, Duration.
The meanings of them are respectively as follows,
1. UserID : the number of a user, sorted in descending order by the number of channels he/she has switched during the period of time; [1, 13246].
2. CurrentChannel: the channel ID viewed by the user in the current time section.
3. NextChannel: the channel ID which the user would view in the next time section.
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This dataset is consist news articles related to COVID-19 from UK, India, Japan and South Korea newspapers.
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Bluetooth communication is widely adopted in IoMT devices due to its various benefits. Nevertheless, because of its simplicity as a personal wireless communication protocol, Bluetooth lacks the security mechanisms which may result in devastating outcomes for patients treated using wireless medical devices.
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We develop a potential biomarker to subdivide the stress groups into eustress and distress groups using hemodynamic responses of functional near-infrared spectroscopy (fNIRS). We stimulate two stress groups divided by saliva alpha-amylase (sAA) with an international affective picture system (IAPS) inducing positive or negative emotions and measure hemodynamic responses at the same time. As a result, we have developed a newly designed biomarker using fNIRS.
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The data are associated with a submitted journal paper.
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In this work, physical parameter‐based modeling of small signal parameters for a metal‐semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions of drain voltage, gate voltage, frequency, and gate width. For this purpose, a device simulator has been used to generate a big dataset of which the physical device parameters included material type, doping concentration and profile, contact type, gate length, gate width, and work function.
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