Results 71 to 80 of about 284,223 (186)

Quantitative accuracy of preclinical in ovo PET/MRI: influence of attenuation and quantification methods

open access: yesEJNMMI Physics
Aim The combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) provides an innovation leap in the use of fertilized chicken eggs (in ovo model) in preclinical imaging as PET/MRI enables the investigation of the chick ...
Theresa Balber   +9 more
doaj   +1 more source

RESONANCE SELF-SHIELDING EFFECT IN UNCERTAINTY QUANTIFICATION OF FISSION REACTOR NEUTRONICS PARAMETERS

open access: yesNuclear Engineering and Technology, 2014
In order to properly quantify fission reactor neutronics parameter uncertainties, we have to use covariance data and sensitivity profiles consistently. In the present paper, we establish two consistent methodologies for uncertainty quantification: a self-
GO CHIBA   +2 more
doaj   +1 more source

Machine Learning Algorithms to Classify and Quantify Multiple Behaviours in Dairy Calves Using a Sensor: Moving beyond Classification in Precision Livestock

open access: yesSensors, 2020
Previous research has shown that sensors monitoring lying behaviours and feeding can detect early signs of ill health in calves. There is evidence to suggest that monitoring change in a single behaviour might not be enough for disease prediction.
Charles Carslake   +2 more
doaj   +1 more source

Conversations on a probable future: interview with Beatrice Fazi [PDF]

open access: yes, 2019
No description ...
Arniani, Marta, Fazi, M Beatrice
core  

Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications [PDF]

open access: yes, 2019
Objective: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources.
Denecke, Kerstin   +8 more
core   +4 more sources

The potential and current use of mHealth-based self-quantification tools for primary prevention [PDF]

open access: yesEuropean Journal of Public Health, 2020
Abstract The panellist Vasileios Nittas will discuss about the potential and current use of mHealth-based self-quantification tools for primary prevention; key barriers and facilitators; their ethical, structural and contextual implications - as well as their impact on developing robust, evidence-based digital (public) health policies.
openaire   +1 more source

Big data in information management : a review of selected issues [PDF]

open access: yes, 2016
Przedmiot artykułu stanowi zagadnienie wykorzystania tzw. wielkich danych (ang. big data) w procesach zarządzania informacją. Celem jest określenie potencjalnego zakresu i form wykorzystania big data w bibliotekach oraz konsekwencji wynikających z ich ...

core  

The quantified self: what counts in the neoliberal workplace [PDF]

open access: yes, 2015
Implementation of quantified self technologies in workplaces relies on the ontological premise of Cartesian dualism with mind dominant over body. Contributing to debates in new materialism, we demonstrate that workers are now being asked to measure our ...
Andrew Robinson   +55 more
core   +1 more source

Boiling Flow Pattern Identification Using a Self-Organizing Map

open access: yesApplied Sciences, 2020
In the paper, a self-organizing map combined with the recurrence quantification analysis was used to identify flow boiling patterns in a circular horizontal minichannel with an inner diameter of 1 mm. The dynamics of the pressure drop during density-wave
Iwona Zaborowska   +2 more
doaj   +1 more source

Qualification and quantification of locus specific methylation – the basics

open access: yesFrontiers in Genetics, 2012
Despite the fact that terms: methylation quantification and qualification sound self-explanatory they are not easy to define. There are three main reasons for difficulties in understanding methylation status measurement.
Tomasz K Wojdacz
doaj   +1 more source

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