The adequacy of the linear model was evaluated by adding a quadratic term to the existing model and testing the difference in fit between the two models using −2 log-likelihood ratios. Results indicated that the parent and teacher models that included a quadratic term provided a better fit ...
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent, chronic, and impairing mental health disorder of childhood. Decades of empirical research has established a strong evidence-based intervention armamentarium for ADHD; however, limitations ex
Preliminary results to a new approach for neurocognitive training on academic engagement and monitoring of attention levels in children with learning difficulties is presented. Machine Learning (ML) techniques and a Brain-Computer Interface (BCI) are used to develop an interactive AI-based game for ed...
Secondary outcomes included self-reported ADHD-symptoms, depressive and anxiety symptoms, and quality of life. We used independent samples t- tests to compare the mean difference of change from pre- to post-treatment between the two treatment groups, and univariate linear models adjusting for ...
modelstomatodeficitcrop coefficientcoefficient of water deficitThe purpose of this study was to investigate the feasibility of SIMDualK c model in estimating greenhouse evapotranspiration and soil evaporation in northwest China. A deficit irrigation experiment was set up in tomato greenhouse in Yangling,...
The adequacy of the linear model was evaluated by adding a quadratic term to the existing model and testing the difference in fit between the two models using −2 log-likelihood ratios. Results indicated that the parent and teacher models that included a quadratic term provided a better fit ...
Initially a 1-class latent mixture model was applied to the data in order to provide a baseline on which other models were compared, as this 1-class model did not have the presence of subgroups. The first comparison involved the fit from a 2-class to the baseline model. When the combinat...
The Kendall correlation coefficients of the order values for the four single evaluation models [45] are shown in Table 6. Here, the mean correlation coefficients between the evaluation values of each single method and other methods are between 0.67 and 0.87, and the comprehensive correlation ...
The training sets were used to build the classification models, which were subsequently applied to the test set, which consisted of records with unknown class labels. The system tries to decrease the training error by completely fitting all the training examples. Each partition of each hypothesis ...