Search results for "oftware"
showing 10 items of 7396 documents
On the classification of dynamical data streams using novel “Anti-Bayesian” techniques
2018
Abstract The classification of dynamical data streams is among the most complex problems encountered in classification. This is, firstly, because the distribution of the data streams is non-stationary, and it changes without any prior “warning”. Secondly, the manner in which it changes is also unknown. Thirdly, and more interestingly, the model operates with the assumption that the correct classes of previously-classified patterns become available at a juncture after their appearance. This paper pioneers the use of unreported novel schemes that can classify such dynamical data streams by invoking the recently-introduced “Anti-Bayesian” (AB) techniques. Contrary to the Bayesian paradigm, tha…
E-Learning Experiences in La Ribera Health Department
2014
This paper shows how the training of health professionals is improving thanks to the use of new technologies, in particular e-learning. This type of technology is widely used in medical education and there are multiple research works that report its effective deployment by health professionals and students. However, there is a need to incorporate e-learning platforms and online methods in healthcare organizations through a systematic and rigorous approach what is proposed in the current work. This approach has been applied since 2009 in the context of La Ribera Health Department implementing a high number of e-learning experiences. The obtained outcomes reveal how useful have been these exp…
Client orientation in fashion e-commerce: a comparative study
2020
[EN] E-business and especially e-commerce represents one of the most important ways of doing business in the current context. That is why, researchers are doing a great effort in studying how Business to Consumer platforms manage the relationship with their clients. Regarding the most important channels of connection between consumers and companies in online market, the websites and Apps, this study analyzes the way in which e-businesses present the information to their clients from a client-focused strategy point of view. The present study evaluates how two important e-commerce companies deal with this in such a competitive market as fashion and aims to state some success guidelines for fa…
WCxf: An exchange format for Wilson coefficients beyond the Standard Model
2018
We define a data exchange format for numerical values of Wilson coefficients of local operators parameterising low-energy effects of physics beyond the Standard Model. The format facilitates interfacing model-specific Wilson coefficient calculators, renormalisation group (RG) runners, and observable calculators. It is designed to be unambiguous (defining a non-redundant set of operators with fixed normalisation in each basis), extensible (allowing the addition of new EFTs or bases by the user), and robust (being based on industry standard file formats with parsers implemented in many programming languages). We have implemented the format for the Standard Model EFT (SMEFT) and for the weak e…
SHAPES secure cloud platform for healthcare solutions and services
2020
The SHAPES project is an ambitious endeavour that gathers stakeholders from across Europe to create, deploy and pilot at large-scale a EU-standardised open platform incorporating and integrating a broad range of solutions, including technological, organisational, clinical, educational and societal, to enable the ageing population of Europe to remain healthy, active and productive, as well as to maintain a high quality of life and sense of wellbeing for the longest time possible. Not only each digital solution will be ethical, legal and appropriate for users, but also the results will align with the full and ethically responsible end-to-end exploitation of the new functionalities empowered b…
The MOBI-Kids Study Protocol: Challenges in Assessing Childhood and Adolescent Exposure to Electromagnetic Fields from Wireless Telecommunication Tec…
2014
The rapid increase in mobile phone use in young people has generated concern about possible health effects of exposure to radiofrequency (RF) and extremely low frequency (ELF) electromagnetic fields (EMF). MOBI-Kids, a multinational case–control study, investigates the potential effects of childhood and adolescent exposure to EMF from mobile communications technologies on brain tumor risk in 14 countries. The study, which aims to include approximately 1,000 brain tumor cases aged 10–24 years and two individually matched controls for each case, follows a common protocol and builds upon the methodological experience of the INTERPHONE study. The design and conduct of a study on EMF exposure an…
Automated analysis of images for molecular quantification in immunohistochemistry.
2018
The quantification of the expression of different molecules is a key question in both basic and applied sciences. While protein quantification through molecular techniques leads to the loss of spatial information and resolution, immunohistochemistry is usually associated with time-consuming image analysis and human bias. In addition, the scarce automatic software analysis is often proprietary and expensive and relies on a fixed threshold binarization. Here we describe and share a set of macros ready for automated fluorescence analysis of large batches of fixed tissue samples using FIJI/ImageJ. The quantification of the molecules of interest are based on an automatic threshold analysis of im…
The Nature Tour Mobile Learning Application. Implementing the Mobile Application in Finnish Early Childhood Education Settings
2014
This paper explores the process and impact of the implementation of the Nature Tour mobile learning application in Finnish early childhood education settings. The interest is to explore whether the concept of Nature Tour mobile application meets the needs of early childhood education in field trips. The idea of the mobile application is to help recording and comparing nature observations as well as to arouse children’s interest in nature. The feasibility of the mobile application was evaluated through a theoretical framework, which includes the core aspects of mobile learning. The evaluation framework consists of two levels titled core level and medium level. Three of the core level aspects…
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data
2021
The current exponential increase of spatiotemporally explicit data streams from satellite-based Earth observation missions offers promising opportunities for global vegetation monitoring. Intelligent sampling through active learning (AL) heuristics provides a pathway for fast inference of essential vegetation variables by means of hybrid retrieval approaches, i.e., machine learning regression algorithms trained by radiative transfer model (RTM) simulations. In this study we summarize AL theory and perform a brief systematic literature survey about AL heuristics used in the context of Earth observation regression problems over terrestrial targets. Across all relevant studies it appeared that…
Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)
2019
Abstract. Atmospheric radiative transfer models (RTMs) are software tools that help researchers in understanding the radiative processes occurring in the Earth's atmosphere. Given their importance in remote sensing applications, the intercomparison of atmospheric RTMs is therefore one of the main tasks used to evaluate model performance and identify the characteristics that differ between models. This can be a tedious tasks that requires good knowledge of the model inputs/outputs and the generation of large databases of consistent simulations. With the evolution of these software tools, their increase in complexity bears implications for their use in practical applications and model interco…