New research shows that cyberbullying should be classified as an adverse childhood experience due to its strong link to trauma. Even subtle forms — like exclusion from group chats — can trigger PTSD-level distress. Nearly 90% of teens experienced some form of cyberbullying, accounting for 32% of the variation in trauma symptoms. Indirect harassment was most common, with more than half reporting hurtful comments, rumors or deliberate exclusion. What mattered most was the overall amount of cyberbullying: the more often a student was targeted, the more trauma symptoms they showed.
Tag: statistics
A surprising connection has been found, between two seemingly very different classes of superconductors. In a new material, atoms are distributed irregularly, but still manage to create long-range magnetic order.
Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can autonomously synthesize thin-film samples and measure their material properties. The team’s dLab system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science.
As kids spend more time on screens, a new national survey conducted by Ipsos on behalf of The Kids Mental Health Foundation, founded by Nationwide Children’s Hospital, identifies parents’ greatest fears for their children around screen time.
A new article puts artificial intelligence and machine learning on the task of finding new, powerful electrolytes for designing next-generation batteries for electric vehicles, phones, laptops and grid-scale energy storage. The paper outlines a new framework for finding molecules that maximize three components that make an ideal battery electrolyte — ionic conductivity, oxidative stability and Coulombic efficiency.
Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health care.
Researchers have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.
Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.
Clin Ter. 2025 May_Jun;176(3):363-370. doi: 10.7417/CT.2025.5235.
ABSTRACT
INTRODUCTION: Workplace safety is continually improving in many developed countries, but, despite this, work-related injuries, including fatal ones, are on the rise. Furthermore, in all cases of serious non-fatal accidents, a high morbidity rate for workers has been documented, burdened by an equally large expense that the State will have to sustain as damage compensation. Often, in case of fatal accidents, it is necessary to reconstruct the dynamics that caused the death, which makes it necessary to analyze all the lesions detectable on corpses. In this perspective, postmortem computed tomography (PMCT) has become essential to increase the speed and diagnostic accuracy, especially in case of lesions affecting the bone structures.
METHODS: A retrospective analysis aimed at evaluating the data collected from judicial autopsies performed between January 2019 and the recent month of March 2023 was carried out, focusing on those related to fatal accidents occurred at work.
RESULTS: According to the inclusion criteria, 18 out of the 204 autopsies carried out during the pre-established time frame were included, as certainly classifiable as “occupational deaths”. Among the 18 enrolled corpses, 16 were male and 2 female subjects. The traumatic events responsible of the death were analysed: 40% were related to falls from heights greater than 2 meters, 28% to explosion, 22% to accidental crush, 5% to electrocution and 5% to semi-truncation.
DISCUSSION AND CONCLUSIONS: Among fatal accidents, those related to falls from great heights and crushing are described as the most common, while among the least common are deaths due to electrocution. With reference to the location of injuries, those involving the head are considered the most fatal, while rib fractures are considered as the most common. In this context, postmortem computed tomography can be very helpful, not only for the two- and three-dimensional reconstruction of fractures, but also for understanding the dynamics with which fatal accidents develop in the workplace. This can both ensure a better assessment of the responsibilities of workers and/or the employer, and lead to the evaluation of the suitability of protective devices, also allowing to make them safer.
PMID:40525370 | DOI:10.7417/CT.2025.5235
Clin Ter. 2025 May_Jun;176(3):336-343. doi: 10.7417/CT.2025.5231.
ABSTRACT
OBJECTIVE: The pervasiveness of social media has led to a growing cause for concern regarding potential adverse effects that may stem from excessive social media usage, particularly in relation to its psychological effects. The authors in this study investigated problematic social media use and it’s predictors among emerging adults in the Indian context.
METHODS: We employed stratified cluster sampling technique in this cross-sectional study to select a sample of 204 students from government and private institutions. The inclusion criteria was specific to emerging adults aged 18 to 22 years. Tools included a proforma on socio-demographic data, the Social Media Disorder Scale and Rosenberg’s Self-Esteem Scale. We examined the prevalence and predictors of problematic social media use from self-reports of emerging adults.
RESULTS: Prevalence of problematic social media use was measured at 7.8%. There was a negative correlation observed (r = -0.270, p<0.0001) between problematic social media use and self-esteem of the participants. Living in low-income households and signing up on a single social media platform were protective while lower age at initially signing up and and having a felt need for followers on social media networks increased the odds of problematic social media use.
CONCLUSION: Problematic social media use is inversely correlated with self-esteem of emerging adults. Characteristics of social media usage such as the age at signing up, the number of platforms signed up on and the need for followers significantly predicted problematic social media usage among emerging adults.
PMID:40525366 | DOI:10.7417/CT.2025.5231