Search results for "LABOR"

Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis

2016

In this article, a fully unsupervised method for brain tissue segmentation of T1-weighted MRI 3D volumes is proposed. The method uses the Fuzzy C-Means (FCM) clustering algorithm and a Fully Connected Cascade Neural Network (FCCNN) classifier. Traditional manual segmentation methods require neuro-radiological expertise and significant time while semiautomatic methods depend on parameter's setup and trial-and-error methodologies that may lead to high intraoperator/interoperator variability. The proposed method selects the most useful MRI data according to FCM fuzziness values and trains the FCCNN to learn to classify brain’ tissues into White Matter, Gray Matter, and Cerebro-Spinal Fluid in …

Laboratoriotöiden tavoitteiden saavuttaminen fysiikan perus- ja aineopintokursseilla : kvantitatiivinen tutkimus opiskelijoiden kokemuksista

2017

Tämän työn tarkoituksena oli selvittää opiskelijoiden kokemuksia fysiikan perus- ja aineopintokurssien laboratoriotöiden hyödyllisyydestä. Tutkimus toteutettiin kyselyaineistolla, joka kerättiin Jyväskylän yliopiston fysiikan laitoksen oppilaslaboratoriossa kevään ja kesän 2016 aikana. Opiskelijat vastasivat kyselyyn vapaaehtoisesti suoritettuaan jonkin laboratoriotyön. Kerätyn aineiston pohjalta (\(N=154\) ) analysoitiin kvantitatiivisesti opiskelijoiden kokemuksia kehittymisestä viidessä keskeisessä laboratoriotyön tavoitteessa. Tämän lisäksi aineistosta etsittiin koettuun hyötyyn yhteydessä olevia taustamuuttujia moniluokitteluanalyysillä (MCA). Saatujen tulosten perusteella opiskelijat …

Subjective Experience and Sociability in a Collaborative Serious Game

2013

The meaning of social dimension of gaming for enjoyable and engaging game experiences is supported by an increasing amount of research. Nonetheless, this issue has rarely been studied in the context of serious games. This study attempts to narrow the knowledge gap in the understanding of collaborative serious game experiences and the relationship between the social dimension of gaming and core game experiences. The aim of this study is to empirically investigate what kinds of game experiences are generated when playing collaborative serious game and how the sense of social presence and the sociability of the environment are connected to the core game experience. Findings reinforce the idea…

Game Mechanics in the Design of a Collaborative 3D Serious Game

2014

Background. This article investigates the potential of utilizing game mechanics in designing 3-D serious games for Computer-Supported Collaborative Learning (CSCL) and attempt to produce new information about designing collaborative serious games. Aim. This article has two aims: first, to clarify how theoretical knowledge of collaborative learning was related to game design in previous studies; and, second, to design a collaborative serious game based on theoretical knowledge of collaborative learning and game design. Results. The reviewed studies revealed the potential of using collaborative games in education. However, they showed that collaborative learning games were typically designed …

García-Izquierdo, A. L. (Editor). (2017). Ergonomía y psicosociología aplicada a la prevención de riesgos laborales

2019

Support for Prostitution Legalization in Romania: Individual, Household, and Socio-cultural Determinants.

2021

Romania is a major source country of labor migration to other EU countries, being commonly perceived as a source country for sex workers operating in more prosperous economies. However, very little is known about population attitudes in relation to prostitution in Romania. Based on nationally representative data from the Romanian Gender Barometer (2018) survey, we analyzed data on 860 individuals to examine the predictors of policy preferences for legalizing prostitution. We considered individual-level socio-demographics and household-level indicators such as the presence of children and migrants, as well as socio-cultural beliefs and behaviors related to social liberalism and religiosity. …

Ultrasound-assisted MnO2 catalyzed homolysis of peracetic acid for phenol degradation: The assessment of process chemistry and kinetics

2013

Abstract The combination of peracetic acid (PAA) and heterogeneous catalyst (MnO 2 ) was used for the degradation of phenol in an aqueous solution in the presence of ultrasound irradiation (US). As a relevant source of free radicals (e.g. OH), peracetic acid was comprehensively studied by means of electron spin resonance (ESR) spin trapping (ST) techniques with the subsequent identification of free radicals by simulation based fitting (SBF) technique. The radical reaction mechanism, where hydroxyl radical was a primary product of O O bond rupture of PAA, was established taking into account radical reactions, occurring during sonolysis. The potential barriers and the reaction heat were deter…

A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection

2020

In the first seconds of observation of an image, several visual attention processes are involved in the identification of the visual targets that pop-out from the scene to our eyes. Saliency is the quality that makes certain regions of an image stand out from the visual field and grab our attention. Saliency detection models, inspired by visual cortex mechanisms, employ both colour and luminance features. Furthermore, both locations of pixels and presence of objects influence the Visual Attention processes. In this paper, we propose a new saliency method based on the combination of the distribution of interest points in the image with multiscale analysis, a centre bias module and a machine …

On the use of Deep Reinforcement Learning for Visual Tracking: a Survey

2021

This paper aims at highlighting cutting-edge research results in the field of visual tracking by deep reinforcement learning. Deep reinforcement learning (DRL) is an emerging area combining recent progress in deep and reinforcement learning. It is showing interesting results in the computer vision field and, recently, it has been applied to the visual tracking problem yielding to the rapid development of novel tracking strategies. After providing an introduction to reinforcement learning, this paper compares recent visual tracking approaches based on deep reinforcement learning. Analysis of the state-of-the-art suggests that reinforcement learning allows modeling varying parts of the tracki…

2020

Recommender systems are information software that retrieves relevant items for users from massive sources of data. The variational autoencoder (VAE) has proven to be a promising approach for recommendation systems, as it can explore high-level user-item relations and extract contingencies from the input effectively. However, the previous variants of VAE have so far seen limited application to domain-specific recommendations that require additional side information. Hence, The Ensemble Variational Autoencoder framework for recommendations (EnsVAE) is proposed. This architecture specifies a procedure to transform sub-recommenders’ predicted utility matrix into interest probabilities that allo…