Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks

Maritime vessels provide a wealth of data concerning location, trajectories, and speed. However, while these data are meticulously monitored and logged to maintain course, they can also provide a wealth of meta information. This work explored the potential of data-driven techniques and applied artificial intelligence (AI) to tackle two challenges. First, vessel classification was explored through the use of extreme gradient boosting (XGboost). Second, vessel trajectory time series forecasting was tackled through the use of long-short-term memory (LSTM) networks. Finally, due to the strong dependence of AI model performance on proper hyperparameter selection, a boosted version of the well-known particle swarm optimization (PSO) algorithm was introduced specifically for tuning the hyperparameters of the models used in this study. The introduced methodology was applied to real-world automatic identification system (AIS) data for both marine vessel classification and trajectory forecasting. The performance of the introduced Boosted PSO (BPSO) was compared to contemporary optimizers and showed promising outcomes. The XGBoost model tuned using boosted PSO attained an overall accuracy of 99.72% for the vessel classification problem, while the LSTM model attained a mean square error (MSE) of 0.000098 for the marine trajectory prediction challenge. A rigid statistical analysis of the classification model was performed to validate outcomes, and explainable AI principles were applied to the determined best-performing models, to gain a better understanding of the feature impacts on model decisions

How are parental practices and attitudes towards corporal punishment related to child academic, developmental, or psychological–emotional dysfunctioning?

Corporal punishment (CP) is a widely spread disciplining practice among parents and caregivers globally. Our paper aimed to explore the relationship between the parental attitudes towards CP, expected outcomes of CP, and parenting practices on one hand, with the reported dysfunctions of their children, on the other. Additionally, we aimed to explore the relationship between the use of CP and the reported academic, developmental, and psychological–emotional dysfunctions of their children. The present study involved a nationally representative sample of 1186 parents in Serbia, who had at least one child aged 0–18 years at the moment of interviewing. The parents filled out a series of questionnaires on their attitudes towards CP, expectations of CP outcomes, and their parental practices. Findings indicate that parents that report having a child with dysfunctions have positive attitudes towards CP and expect positive outcomes of CP. These parents also report using more CP as a disciplining method, as well as other harsh disciplining practices. We also identified parental positive expectations of CP, use of physical assault, psychological aggression, neglect as significant predictors of reported child dysfunctions severity. Having all the results in mind, we can assume that children with health-related and school-related issues might be at potential risk of further maltreatment.This is the peer reviewed version of the paper:Grujicic, R., Toskovic, O., Lazarević, L. B., Mandic-Maravic, V., Mitkovic-Voncina, M., Radanović, A., Radosavljev-Kircanski, J., Videnović, M., Pekmezovic, T., & Pejovic Milovancevic, M. (2022). How are parental practices and attitudes towards corporal punishment related to child academic, developmental, or psychological–emotional dysfunctioning? European Child & Adolescent Psychiatry. [https://doi.org/10.1007/s00787-022-02061-z

How are parental practices and attitudes towards corporal punishment related to child academic, developmental, or psychological–emotional dysfunctioning?

Corporal punishment (CP) is a widely spread disciplining practice among parents and caregivers globally. Our paper aimed to explore the relationship between the parental attitudes towards CP, expected outcomes of CP, and parenting practices on one hand, with the reported dysfunctions of their children, on the other. Additionally, we aimed to explore the relationship between the use of CP and the reported academic, developmental, and psychological–emotional dysfunctions of their children. The present study involved a nationally representative sample of 1186 parents in Serbia, who had at least one child aged 0–18 years at the moment of interviewing. The parents filled out a series of questionnaires on their attitudes towards CP, expectations of CP outcomes, and their parental practices. Findings indicate that parents that report having a child with dysfunctions have positive attitudes towards CP and expect positive outcomes of CP. These parents also report using more CP as a disciplining method, as well as other harsh disciplining practices. We also identified parental positive expectations of CP, use of physical assault, psychological aggression, neglect as significant predictors of reported child dysfunctions severity. Having all the results in mind, we can assume that children with health-related and school-related issues might be at potential risk of further maltreatment.Peer-reviewed manuscript: [http://ipir.ipisr.org.rs/handle/123456789/908

Interaction of glutathione S-transferase polymorphisms and tobacco smoking during pregnancy in susceptibility to autism spectrum disorders

Abstract Autism spectrum disorders (ASD) are a group of complex psychiatric disorders, with a proposed gene-environment interaction in their etiology. One mechanism that could explain both the genetic and environmental component is oxidative stress. The aim of our study was to investigate the potential role of common polymorphisms in genes for glutathione transferase A1, M1, T1 and P1 in susceptibility to ASD. We also aimed to explore the possible oxidative stress - specific gene-environment interaction, regarding GST polymorphisms, maternal smoking tobacco during pregnancy (TSDP) and the risk of ASD. This case-control study included 113 children with ASD and 114 age and sex-matched controls. The diagnosis was made based on ICD-10 criteria and verified by Autism Diagnostic Interview – Revised (ADI-R). We investigated GSTA1, GSTM1, GSTP1 and GSTT1 genotypes and explored their individual and combined effects in individuals with ASD. Individual effect of GST genotypes was shown for GSTM1 active genotype decreasing the risk of ASD (OR = 0.554, 95%CI: 0.313–0.983, p = 0.044), and for GSTA1 CC genotype, increasing susceptibility to ASD (OR = 4.132, 95%CI: 1.219–14.012, p = 0.023); the significance was lost when genotype-genotype interactions were added into the logistic regression model. The combination of GSTM1 active and GSTT1 active genotype decreased the risk of ASD (OR = 0.126, 95%CI: 0.029–0.547, p = 0.006), as well as combination of GSTT1 active and GSTP1 llelle (OR = 0.170, 95%CI: 0.029–0.992, p = 0.049). Increased risk of ASD was observed if combination of GSTM1 active and GSTP1 llelle was present (OR = 11.088, 95%CI: 1.745–70.456, p = 0.011). The effect of TSDP was not significant for the risk of ASD, neither individually, nor in interaction with specific GST genotypes. Specific combination of GST genotypes might be associated with susceptibility to ASD, while it appears that maternal smoking during pregnancy does not increase the risk of ASD