PURPOSE This cross-sectional study examines differences in the frequency of suicidal ideation and suicidal behaviors across a group of verbal bullies, bully-victims, victims, physically aggressive bullies, and students not involved in bullying. METHODS A large sample of middle school students (n = 661; fifth through eighth grades; ages 10-13 years of age) completed a pencil-and-paper survey t...

Bullying, a typical occurrence in schools, has gone digital. As a result, cyberbullying has become ever more present among youth. The current study aimed to classify high school students into four groups based on their cyberbullying experiences and to examine the characteristics of these groups based on the sex and age of the participants and the level of parental monitoring. Participants were ...

In this paper, I have proposed an election algorithm that can be used in distributed systems to elect a coordinator. This is a betterment of an already existing Election algorithm (also known as Bully Algorithm) proposed by Hector Garcia-Monila (1982).The proposed algorithm is an efficient approach than Bully Algorithm.

In distributed cooperation frameworks for completely autonomous agents, conflicts between the involved agents can occur due to inconsistent data available to the agents. In highly dynamic domains, such as RoboCup, it is often neccessary to accept a certain level of conflicts in order to decrease reaction time of single agents, instead of relying on error-free, but extensive communication. Howev...

OBJECTIVE The aim of this study is to compare suicidality, internalizing problems and externalizing problems among adolescent victims, bullies and bully-victims. METHOD This study examined bullying involvement among a subset of the baseline sample of the Climate and Preventure study, a trial of a comprehensive substance use prevention intervention for adolescents in 2012. The sample included ...

BACKGROUND Data regarding the impact of early risk factors on later involvement in bullying are scarce. We investigated the impact of preschool behaviors, family characteristics (socio-economic status, family breakup) and parental mental health on bullying and victimization at age 11 (T1) and age 13.5 (T2). METHODS longitudinal data from a subsample of the TRacking Adolescents' Individual Liv...

The purpose of this study was to examine the relationship between familial, educational, and psychosocial factors and bullying among 702 North American Indigenous adolescents aged 11-14 years. The study used multinomial logistic regression models to differentiate correlates of bully perpetration and victimization versus being neither and between being a perpetrator versus being a victim. Analys...

This study employs latent class analysis to construct bullying involvement typologies among 3114 students (48% male, 58% White) in 40 middle schools across the U.S. Four classes were constructed: victims (15%); bullies (13%); bully-victims (13%); and noninvolved (59%). Respondents who were male and participated in fewer conventional activities were more likely to be members of the victims class...

Adolescents in junior high school (n = 237), completed a questionnaire on bullying as it relates to victim and to perpetrator status, suicidality and biographical data. Psychological symptoms were assessed by the Youth Self Report (YSR) and the Depression Self-Rating Scale (DSRS) supplemented by school health officers blind assessments. Bullying was common: bully only (18%), victim only (10%) a...