The relationship between dark triad personality traits and sexting behaviors among adolescents and young adults across 11 countries

Background: Sexting is an increasingly common phenomenon among adolescents and young adults. Some studies have investigated the role of personality traits in different sexting behaviors within mainstream personality taxonomies like Big Five and HEXACO. However, very few studies have investigated the role of maladaptive personality factors in sexting. Therefore, the present study investigated the relationship between Dark Triad Personality Traits and experimental (i.e., sharing own sexts), risky (i.e., sexting under substance use and with strangers), and aggravated sexting (i.e., non-consensual sexting and sexting under pressure) across 11 countries. Methods: An online survey was completed by 6093 participants (Mage = 20.35; SDage = 3.63) from 11 different countries which covered four continents (Europe, Asia, Africa, and America). Participants completed the Sexting Behaviors Questionnaire and the 12-item Dark Triad Dirty Dozen scale. Results: Hierarchical regression analyses showed that sharing own sexts was positively predicted by Machiavellianism and Narcissism. Both risky and aggravated sexting were positively predicted by Machiavellianism and Psychopathy. Conclusions: The present study provided empirical evidence that different sexting behaviors were predicted by Dark Triad Personality Traits, showing a relevant role of Machiavellian-ism in all kinds of investigated sexting behaviors. Research, clinical, and education implications for prevention programs are discussed

Age, Successive Waves, Immunization, and Mortality in Elderly COVID-19 Haematological Patients: EPICOVIDEHA Findings

Introduction: elderly patients with haematologic malignancies face the highest risk of severe COVID-19 outcomes. The infection impact in different age groups remains unstudied in detail. Methods: We analysed elderly patients (age groups: 65-70, 71-75, 76-80 and >80 years old) with hematologic malignancies included in the EPICOVIDEHA registry between January 2020 and July 2022. Univariable and multivariable Cox regression models were conducted to identify factors influencing death in COVID-19 patients with haematological malignancy. results: the study included data from 3,603 elderly patients (aged 65 or older) with haematological malignancy, with a majority being male (58.1%) and a significant proportion having comorbidities. The patients were divided into four age groups, and the analysis assessed COVID-19 outcomes, vaccination status, and other variables in relation to age and pandemic waves.tThe 90-day survival rate for patients with COVID-19 was 71.2%, with significant differences between groups. The pandemic waves had varying impacts, with the first wave affecting patients over 80 years old, the second being more severe in 65-70, and the third being the least severe in all age groups. factors contributing to 90-day mortality included age, comorbidities, lymphopenia, active malignancy, acute leukaemia, less than three vaccine doses, severe COVID-19, and using only corticosteroids as treatment. Conclusions: These data underscore the heterogeneity of elderly haematological patients, highlight the different impact of COVID waves and the pivotal importance of vaccination, and may help in planning future healthcare efforts

Correction: Need for ICU and outcome of critically ill patients with COVID-19 and haematological malignancies: results from the EPICOVIDEHA survey

Peer reviewe

Symbolic Functional Decomposition Algorithm for FSM Implementation in FPGA Structures

Dotychczasowe podejście do implementacji automatów skończonych w układach FPGA składa sie z dwóch etapów: kodowania stanów automatu oraz mapowania powstałych funkcji w strukturze układu. W przypadku mapowania za pomocą dekompozycji funkcjonalnej trudno jest znaleźć "dobrą" metodę kodowania stanów, szczególnie przy zastosowaniu proce-su syntezy wielopoziomowej. Artykuł opisuje algorytm funkcjonalnej dekompozycji symbolicznej, który zamiast osobnego etapu kodowania wprowadza sukcesywne kodowanie stanów gwarantujące dobrą jakość dekompozycji, oraz przedstawia działanie tego algorytmu na przykładzie wybranego automatu skończonego.The following paper presents an algorithm of symbolic functional decomposition for implementation of finite state machines in FPGA circuits. The idea of symbolic functional decomposition does not require a separate step of encoding the FSM's states. This method uses a description of the FSM that maintains a symbolic representation of the machine's states and introduces their encoding gradually, during each of the iterations of the decomopsition process; such approach guarantees high quality of the final decomposition. This paper presents an algorithm of symbolic functional decomposition based on blanket algebra. Each of the algorithm's steps is described in detail, as well as presented on an example FSM

The role of HEXACO personality traits in different kinds of sexting: a cross-cultural study in 10 countries

Sexting has been defined as sharing sexually suggestive content (i.e., sexts) via Internet or smartphone. To date, only a few studies investigated the role of personality traits in relation to sending or receiving sexts, and most of them used the Five Factor Model of Personality. No studies applied the theoretical model of HEXACO six personality traits (i.e., honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness to experience) when examining different types of sexting (i.e., sending own sexts, risky sexting, sharing sexts from someone else without his/her permission, sexting under pressure). Thus, this is the first study that, using a cross-cultural perspective, investigated HEXACO personality predictors of sexting behaviors considered as a multidimensional construct. A total of 5542 participants from 13 to 30 years old (Mage = 20.36; SDage = 3.67; 60.4% girls and 39.6% boys) from 10 different countries participated in the study. Participants completed the sexting behaviors questionnaire and the HEXACO personality inventory. Four hierarchical regression analyses were conducted to investigate which HEXACO personality traits predicted different sexting behaviors, controlling for country, biological sex, age, sexual identity status, and dating relationship status. Results showed that honesty-humility and conscientiousness were negatively predictive of all investigated sexting behaviors. Emotionality and extraversion were positively related, and agreeableness was negatively related to sending own sexts and risky sexting. Finally, openness to experience was negatively related to sharing sexts from someone else without his/her consent and sexting under pressure. Results have implications for the development and implementation of sexual education and prevention programs aimed towards adolescents and young adults