Sara M de Cripan, Trisha Arora, Adrià Olomí, Núria Canela, Gary Siuzdak, Xavier Domingo-Almenara
Predicting the Predicted: A Comparison of Machine Learning-Based Collision Cross-Section Prediction Models for Small Molecules
Analytical chemistry
exploratory crosssectional study aimed identify prevalence bullying group students analyze data regarding gender involved violence questionnaire adapted olweus applied seven elementary education schools portugal sample consisted 387 students 7 14 years old data presented terms descriptive statistics differences proportions analyzed using chisquare tests gender analysis victimization aggression shows boys girls victims aggressors significant differences involvement bullying genders roles played boys victims often considering different types bullying although significant differences found physical aggression strategies include gender roles priority prevention careful attention phenomenon school context questions addressed contribute broader understanding phenomenon emphasizing differential participation boys girls bullying