Search results for "e learning"
showing 10 items of 2703 documents
Robust Automated Assessment of Human Blastocyst Quality using Deep Learning
2018
AbstractMorphology assessment has become the standard method for evaluation of embryo quality and selecting human blastocysts for transfer inin vitro fertilization(IVF). This process is highly subjective for some embryos and thus prone to human bias. As a result, morphological assessment results may vary extensively between embryologists and in some cases may fail to accurately predict embryo implantation and live birth potential. Here we postulated that an artificial intelligence (AI) approach trained on thousands of embryos can reliably predict embryo quality without human intervention.To test this hypothesis, we implemented an AI approach based on deep neural networks (DNNs). Our approac…
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
2019
AbstractVisual morphology assessment is routinely used for evaluating of embryo quality and selecting human blastocysts for transfer after in vitro fertilization (IVF). However, the assessment produces different results between embryologists and as a result, the success rate of IVF remains low. To overcome uncertainties in embryo quality, multiple embryos are often implanted resulting in undesired multiple pregnancies and complications. Unlike in other imaging fields, human embryology and IVF have not yet leveraged artificial intelligence (AI) for unbiased, automated embryo assessment. We postulated that an AI approach trained on thousands of embryos can reliably predict embryo quality with…
Gamifying Teacher Students’ Learning Platform
2020
This paper presents initial results from a study exploring teacher students’ experiences related to the gamification of an online learning platform in higher education. The aim was to get an understanding of the participants’ views regarding the use of game elements and to examine the user type profile of this group in order to explore the potential of applying user types in planning gamification solutions for teacher students. The participants’ overall experience of having game elements as part of their course platform was principally positive. User types students presented were investigated using the Hexad scale adapted from game design: in this user group, Socialiser and Philanthropist w…
AAA: Aulas de aprendizaje activo
2021
Para promover el aprendizaje de los alumnos, algunas universidades están creando espacios de aprendizaje activo que reemplazan a las aulas tradicionales de clase magistral. En la Universitat Jaume I de Castelló se han creado dos aulas (denominadas TEAM) para potenciar el aprendizaje cooperativo. Este trabajo tiene como objetivo describir el aula TEAM, explicar dos proyectos complementarios dirigidos a mejorar su funcionamiento y presentar los resultados de la primera de sus tres fases. To promote student learning, some universities are creating active learning spaces that replace traditional master class classrooms. In Universitat Jaume I de Castelló, two classrooms (called TEAM) have been …
Anemia management in end stage renal disease patients undergoing dialysis: a comprehensive approach through machine learning techniques and mathemati…
2016
Kidney impairment has global consequences in the organism homeostasis and a disorder like Chronic Kidney Disease (CKD) might eventually exacerbates into End Stage Renal Disease (ESRD) where a complete renal replacement therapy like dialysis is necessary. Dialysis partially reintegrates the blood ltration process; however, even when it is associated to a pharmacological therapy, this is not su fficient to completely replace the renal endocrine role and causes the development of common complications, like CKD secondary anemia (CKD-anemia) The availability of exogenous Erythropoiesis Stimulating Agents (ESA, synthetic molecules with similar structure and same mechanism of action as human eryth…
Performing arts and mediation technology in the period of lockdown
2021
Advancements in digital technologies have become novel ways to enrich communication, expression, and transmission of arts knowledge. Technology is increasingly implemented in the performance space, as a source of inspiration for artists. Especially in this period of lockdown, mediation technology has turned out to be an essential tool for different aspects of social life, as in performing arts. With venues, schools and artistic activities closed, performers, students and spectators have been obliged to keep connecting in remote conditions. This article wants to retrace the aesthetic impact of mediation technology in performing arts during this period of lockdown by focusing on the aspects t…
Connections of the amygdaloid structures integrating olfactory and vomeronasal information in mice
2015
La amígdala es considerada una estructura clave en el aprendizaje emocional asociativo en roedores. La mayor parte de los estudios sobre aprendizaje emocional se han centrado en paradigmas de aprendizaje aversivo, cuando al menos, parte de la amígdala es también relevante en el procesamiento de estímulos reforzantes, particularmente estímulos de naturaleza química (olores y feromonas), dado que los roedores son animales macrosmáticos. La amígala es primer relevo telencefalico en donde convergen las proyecciones provenientes del bulbo olfatorio principal (MOB), que es activado por volátiles y del bulbo olfatorio accesorio (AOB), que es activado por no volátiles. Nuestro estudio se centra en …
Towards Automatic Testing of Reference Point Based Interactive Methods
2016
In order to understand strengths and weaknesses of optimization algorithms, it is important to have access to different types of test problems, well defined performance indicators and analysis tools. Such tools are widely available for testing evolutionary multiobjective optimization algorithms. To our knowledge, there do not exist tools for analyzing the performance of interactive multiobjective optimization methods based on the reference point approach to communicating preference information. The main barrier to such tools is the involvement of human decision makers into interactive solution processes, which makes the performance of interactive methods dependent on the performance of huma…
Orientation Adaptive Minimal Learning Machine for Directions of Atomic Forces
2021
Machine learning (ML) force fields are one of the most common applications of ML in nanoscience. However, commonly these methods are trained on potential energies of atomic systems and force vectors are omitted. Here we present a ML framework, which tackles the greatest difficulty on using forces in ML: accurate prediction of force direction. We use the idea of Minimal Learning Machine to device a method which can adapt to the orientation of an atomic environment to estimate the directions of force vectors. The method was tested with linear alkane molecules. peerReviewed
Attālināts darbs izglītības iestāžu darbības pilnveidošanai
2022
Maģistra darba “Attālinātais darbs izglītības iestāžu darbības pilnveidošanai” mērķis ir izstrādāt ieteikumus Latvijas skolām attālinātā darba izmantošanai skolu darbības pilnveidošanai ikdienas darbā un krīzes apstākļos. Maģistra darbā tiek aktualizēta pandēmijas laika pieredze izglītības iestāžu darbā. Empīriskā pētījuma ietvaros, intervējot 11 Latvijas izglītības iestāžu vadības pārstāvjus, atklāti labās prakses piemēri attālinātam darbam izglītības iestādēs. Secināts, ka attālināts darbs ir veiksmīgi izmantojams turpmākā skolu darbībā, un, balstoties teorijas un empīriskajā pētījuma daļā, izveidoti ieteikumi attālināta darba izmantošanai Latvijas skolu darbības pilnveidošanai.