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The information is provided to increase the data transparency and the scalability of eHealth research and particularly the mHeart studies scalability. This dataset contains relevant information on: - The mHealthCare Platform Technological Description and Specifications. This file aims to describe the general mHealthcare Platform developed by the private firm which has been thereafter adapted to the heart transplant specifications (mHeart System). - The mHeart source code description of the 3 applications (website, app Android, app Apple) and storage location. - A video of the clinical use of the mHeart mobile application. - An apk file with a DEMO (Spain Version 2015). Please, notice that this is a dynamic process. Multiples versions will be uploaded since mHeart was developed. Consult the DEMO access directly on Stores. - User Guidelines (Spain Version 2015) - Scientific Authorship Statement - mHeart trademark - the mHeart System funding and reimbursement model. The mHealthCare Platform is an internet-based system to carry out integral healthcare for disease and therapy management in any population. The first version uploaded in Hospital de la Santa Creu i Sant Pau (HSCSP) was directed at transplant populations and was specifically adapted to the heart transplant population in the ambulatory setting. The mHeart program has been classified by authors as a Behavior Intervention Technology (BIT) to facilitate the following overall clinical goals: (1) health behavior change (i.e. increase patients’ healthy behaviors and prevent the onset of disease); and (2) targeted disease management (i.e. facilitate therapeutic interventions and improve patient’s self-management). The mHeart tool is a mobile phone app connected to a website for use by providers and patients. The tool can be used simultaneously on distinct devices to facilitate caregiver and guardian support. The mobile application can be downloaded for free from the Google and Apple online stores. The website link is salud.trilema.es. The system was developed by Socioemprende SL Technical Team. Scientific advice was provided by the heart transplant interdisciplinary healthcare team and directed by the Pharmacy Department, HSCSP. For further questions about the System, please contact with the scientific coordinator Mar Gomis-Pastor: mar@margomis.com
Data Types:
  • Other
  • Video
  • Dataset
  • Document
Since the amount of data that has been acquired, processed and presented in the paper is non-negligible, the Authors decided to share, as an example, only two combustion points data. Both these points are related to a lambda 1.4 air-CH4 mixture: one ignited by a conventional spark igniter, and one by an RF corona igniter. They have been acquired in the Internal Combustion Engine Lab of the University of Perugia, Department of Engineering. Authors agree to share further data upon request. ------------------------------------------------------------------------------------------------------- The shared data have been converted into an open-access format for sharing purposes: a .csv file for indicating analysis (only in-cylinder pressure is shown) and a .mp4 file (flame images). The .csv files contain the in-cylinder pressure traces in 103 columns: the first one is related to the crank angle degree value (one row each 0.1 CAD), the second one to the average pressure trace, and each of the following 101 is related to the in-cylinder pressure of a single combustion event. The .mp4 files contain the flame images related to one of the 101 combustion pressure traces reported in the corresponding .csv file. The temporal resolution is 0.3 CAD/frame, and the .mp4 speed, during the conversion, was set to 20 fps.
Data Types:
  • Video
  • Tabular Data
  • Dataset
This dataset comprises the results of the hydraulic fracturing test: raw and unprocessed video files, fluid pressures, stress intensity factors, and fracture velocities. Conditions for each experiment are indicated in the description with gelatin stiffness: L for low stiffness, M for medium stiffness, H for high stiffness, and VH for very high stiffness. Total 9 cases of the experiment, 3 cases of homogeneous gelatin samples and 6 cases of layered gelatin samples, were investigated.
Data Types:
  • Video
  • Tabular Data
  • Dataset
A swirling fluidized bed reactor design for the preparation of supported nanoparticles is reported. It uses a DC plasma torch that decomposes and vaporizes salt precursors; the cationic part condenses as metal nanoparticles on a powder support. Any fluidizable granular material can be used as support, as long as it withstands the temperatures of the plasma torch. The torch is located at the center of the reactor axis and the powder is fluidized using a cyclonic action (swirl) to minimize the space where the grains could come into direct contact with the plasma zone. The reactor was tested for the production of silver nanoparticles (AgNPs) supported on silica-alumina, using silver nitrate as precursor.
Data Types:
  • Video
  • Dataset
A CO2 laser fusion splicer (Lzm100) is employed to splice the sensor
Data Types:
  • Video
  • Dataset
Bench test
Data Types:
  • Video
  • Dataset
Esophageal insufflation during bag mask ventilation
Data Types:
  • Video
  • Dataset
Raw images for Supplemental Figures S4-S7
Data Types:
  • Other
  • Image
  • Video
  • Dataset
Figure 5C,D
Data Types:
  • Video
  • Dataset
Video with evolution of the experimental model
Data Types:
  • Video
  • Dataset
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