Search results for "Software"
showing 10 items of 7396 documents
Laboratorio informatico-statistico con R
2018
Questo manuale introduce all’ambiente R, un linguaggio di programmazione a oggetti, e fornisce gli strumenti essenziali per poter effettuare un’analisi statistica dei dati. Costituisce un valido supporto per gli studenti che seguono i corsi di Statistica descrittiva (modulo I) e Statistica inferenziale (modulo II), ma anche per i ricercatori che si accingono per la prima volta a usare questo linguaggio. Il testo richiama i concetti e gli argomenti fondamentali della Statistica di base ed è corredato di numerosi esempi ed esercizi svolti, elementi che lo rendono utile anche a studiosi di altre discipline.
Analogical and Digital Workflow in the Design and Preparation of the Emergence Profile of Biologically Oriented Preparation Technique (BOPT) Crowns o…
2019
: The Biologically Oriented Preparation Technique (BOPT), developed by Ignacio Loi and published in 2008, is a consolidated concept in the modeling and preservation of pericoronal soft tissues. The present study describes the analogical and digital methods allowing adequate design and preparation of the emergence profile of BOPT crowns in the working model, with a view to comparing the workflow and advantages of each method. At present, not all the digital procedures have been fully optimized to completely replace the traditional analogical methods. Nevertheless, it is only a matter of time until dental digitalization technology totally replaces the analogical clinical methods. The digital …
The Norwegian Motion-Laboratory
2018
This paper contains an overview of the equipment currently available in the Norwegian Motion Laboratory, a description of the IT networking infrastructure in the laboratory, a GitHub link to open source code developed, description of the PyQt-based graphical user interface, presentation of robot forward and inverse kinematics, presentation of equations of motion for the suspended load motion and a description of the full system kinematics. The paper ends with a list of research experiments and publications from the laboratory to date.
Technostress and social networking services: Explaining users' concentration, sleep, identity, and social relation problems
2018
It is common for users of social networking sites and services (SNS) to suffer from technostress and the various associated strains that hinder their well‐being. Despite prior SNS stress studies having provided valuable knowledge regarding SNS stressors and their use consequences, they have not examined the various strains related to well‐being that those stressors can create nor the underlying SNS characteristics. To address this gap in the research, we used a qualitative approach involving narrative interviews. As a contribution, our findings reveal four types of strains related to well‐being (concentration problems, sleep problems, identity problems, and social relation problems) as well…
A novel pilot study of automatic identification of EMF radiation effect on brain using computer vision and machine learning
2020
Abstract Electromagnetic field (EMF) radiations from mobile phones and cell tower affect brain of humans and other organisms in many ways. Exposure to EMF could lead to neurological changes causing morphological or chemical changes in the brain and other internal organs. Cellular level analysis to measure and identify the effect of mobile radiations is an expensive and long process as it requires preparing the cell suspension for the analysis. This paper presents a novel pilot study to identify changes in brain morphology under EMF exposure considering drosophila melanogaster as a specimen. The brain is automatically segmented, obtaining microscopic images from which discriminatory geometri…
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…
Aportaciones al proceso de anotación en Realidad Aumentada
2022
Las tecnologías de Realidad Aumentada tienen la capacidad de combinar información sintética del mundo virtual con elemento existentes en el mundo físico. Gracias a ello, la información virtual queda contextualizada y georreferenciada en el entorno físico que rodea al usuario, permitiéndole interactuar con ambos mundos en tiempo real. Dentro del paradigma de interacción de Realidad Aumentada, las anotaciones son su mayor exponente, pues se vinculan a un elemento concreto del entorno físico enriqueciéndolo de tal forma que modifican la percepción que el usuario tiene del mismo. Sin embargo, a pesar de su importancia, la literatura de la materia muestra muy pocos trabajos que aborden la anotac…
Recursos informáticos para el aprendizaje de las matemáticas mediante metáforas musicales: el proceso de creación y evaluación de PicaLab.
2018
El proyecto PicaLab propone el diseño, elaboración y evaluación de recursos informáticos modulares para la enseñanza y el aprendizaje de contenidos matemáticos a través del sonido y la música, en los niveles de tercero, cuarto y quinto año de Educación Básica en Chile. Si bien estos fueron diseñados como recursos para la sala de clases, pueden ser usados por las y los estudiantes fuera de ese contexto. El proceso ha seguido la metodología de investigación de las ciencias del diseño con el fin de diseñar prototipos funcionales de naturaleza multimodal en conjunto con sus guías didácticas: 1) identificación del problema, que permite detectar necesidades y construir un marco teórico ad hoc; 2)…
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…