University of Cyprus

About: University of Cyprus is a education organization based out in Nicosia, Cyprus. It is known for research contribution in the topics: Large Hadron Collider & Standard Model. The organization has 3624 authors who have published 15157 publications receiving 412135 citations.

Predicting bullying and victimization among early adolescents: Associations with disruptive behavior disorders

Abstract: Bullying is a common problem faced by children and adolescents in schools. One hypothesis that needs to be examined regarding the causation of this problem is whether being a bully or a victim may stem from disparate underlying patterns of psychopathology. Results are particularly scarce regarding the association between bully-victim problems and disruptive behavior disorders. The present study sought to investigate the association between DSM-IV symptoms of Oppositional Defiant Disorder (ODD), Conduct Disorder (CD), and bully-victim problems in a sample of 202 adolescents, aged 12-15, attending two junior high schools in Cyprus, to determine whether these symptoms differentiate between bullies and victims and provide a new approach to the understanding of bully-victim problems. Students completed measures of bullying, victimization, disruptive behavior disorder symptoms, and self-esteem, along with demographic questions. On the basis of their responses, teenagers were classified as bullies, victims, or both bullies and victims. Those who were bully/victims reported greater CD symptomatology. CD and low self-esteem were predictive of bullying, whereas ODD and low self-esteem were predictive of victimization.

Search for new physics in events with same-sign dileptons and jets in pp collisions at √s = 8 TeV

Abstract: A search for new physics is performed based on events with jets and a pair of isolated, same-sign leptons. The results are obtained using a sample of proton-proton collision data collected by the CMS experiment at a centre-of-mass energy of 8 TeV at the LHC, corresponding to an integrated luminosity of 19.5 fb−1. In order to be sensitive to a wide variety of possible signals beyond the standard model, multiple search regions defined by the missing transverse energy, the hadronic energy, the number of jets and b-quark jets, and the transverse momenta of the leptons in the events are considered. No excess above the standard model background expectation is observed and constraints are set on a number of models for new physics, as well as on the same-sign top-quark pair and quadruple-top-quark production cross sections. Information on event selection efficiencies is also provided, so that the results can be used to confront an even broader class of new physics models.

Sewage analysis as a tool for the COVID-19 pandemic response and management: the urgent need for optimised protocols for SARS-CoV-2 detection and quantification

Abstract: COVID-19 is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of July 29th 2020, more than 16,6 million cases have been reported in more than 188 countries/territories, leading to more than 659000 deaths. One of the main challenges facing health authorities has been testing for the virus on a sufficiently comprehensive scale. The pandemic has been an impetus for the wastewater community as it has inspired scientists to look to wastewater to help fill in the gap of measuring the prevalence of SARS-CoV-2 within a given community. Testing the wastewater may serve as an early warning system allowing timely interventions. Although viral shedding varies among individuals and over the course of their infection, the sewage system can blend these variations into an average that represents the wider studied community. The urgent need has led to a lack of coherent reporting of data regarding the analysis, as these huge and remarkable efforts by the wastewater scientific community were made in a very short time. Important information on the analytical approach is often lacking, while there is still no optimisation of the methodology, including sampling, sample storage and concentration, RNA extraction and detection/quantification. This review aims at identifying the main issues for consideration, relating to the development of validated methodological protocols for the virus quantitative analysis in wastewater. Their inclusion will enable the methodological optimisation of SARS-CoV-2 wastewater analyses, transforming the wastewater infrastructure into a source of useful information for the health sector.