The study examined trait emotional intelligence as a predictor for emotional reactions experienced during the first full week of the lockdown in Poland (from 16th to 22nd March). One hundred and thirty persons (101 women and 25 men; 4 did not report their gender)participated in the baseline measurement of trait emotional intelligence, positive and negative affect, and affect intensity and in a one-week daily diary. Trait emotional intelligence correlated positively with baseline positive affect and positive intensity, while negatively with baseline negative affect and negative intensity. Trait emotional intelligence marginally significantly predicted a lower frequency of anger, disgust, and sadness during the first week of the pandemic. Trait emotional intelligence predicted a lower intensity of fear, anxiety and sadness. The study showed a complex dynamics of emotional experiences during the first week of the COVID-19 pandemic. Positive states of relaxation and happiness were experienced more frequently and more intensely compared to the negatively-valenced emotions. The protective role of trait emotional intelligence during the COVID-19 pandemic outbreak was mainly associated with experiencing negative emotions (fear, anxiety, and sadness) less intensely, but not less frequently.The novel coronavirus (COVID-19) pandemic has produced an unprecedented impact on all aspects of life, including mental outcomes like death distress. This study examined the mediating effect of positivity on the association between COVID-19 related perceived risk, death distress, and happiness. Participants were 3109 Turkish adults (Mean age = 38.64 ± 10.40) who completed online measures of perceived risk, positivity, death distress, and happiness during the pandemic. Results showed that perceived risk had a significant direct effect on positivity, death distress, and happiness. Positivity had a significant direct effect on death distress and happiness. Mediation analysis indicated that positivity mediated the effect of perceived risk on death distress and happiness. Results suggest that positivity is an important aspect of developing strength-based preventions and interventions aiming to reduce psychological distress and improve happiness.The next generation of Science, Technology & Innovation (STI) policies will be defined by mission orientation and co-creation processes and implemented by dynamic public-private partnerships. However, the experience of European countries up to now in attempting to boost cooperation in innovation reveals a very different story. Beyond some contextual factors, the characteristics of the agents involved, the dynamics of their relationships and the design of the collaboration tools also have a critical influence at organisational level. This paper aims to identify these organisational factors in different contexts through the analysis of the Demola model, a university-industry innovation platform created in Finland which has spread to other countries, including Spain. Demola applies a standardised model but it has differences in its functioning depending on the national levels of collaboration in the innovation systems. In our case study, we have compared Finland and Spain, bearing in mind the features of the agents involved and their relationships, through a content analysis of primary and secondary information. The results of the study show that the institutional structure of the collaboration and the organisational culture of each institution are key factors in its functioning.  https://www.selleckchem.com/products/nedometinib.html  These results can be useful for innovation managers, university leaders, educational experts and policy makers.Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision support system with the diagnosis of cardiovascular diseases. In this sense, it was emphasized that the accuracy rate of diagnosis (classification) can be improved via deep learning algorithms, by needing no hybrid-complex models, and a secure data processing can be achieved with a multi-authentication and Tangle based approach. In detail, heart sounds were classified with Autoencoder Neural Networks (AEN) and the IoHT system was built for supporting doctors in real-time. For developing the diagnosis infrastructure by the AEN, PASCAL B-Training and Physiobank-PhysioNet A-Training heart sound datasets were used accordingly. For the PASCAL dataset, the AEN provided a diagnosis-classification performance with the accuracy of 100%, sensitivity of 100%, and the specificity of 100% whereas the rates were respectively 99.8%, 99.65%, and 99.13% for the PhysioNet dataset. It was seen that the findings by the developed AEN based solution were better than the alternative solutions from the literature. Additionally, usability of the whole IoHT system was found positive by the doctors, and according to the 479 real-case applications, the system was able to achieve accuracy rates of 96.03% for normal heart sounds, 91.91% for extrasystole, and 90.11% for murmur. In terms of security approach, the system was also robust against several attacking methods including synthetic data impute as well as trying to penetrating to the system via central system or mobile devices.This study illustrates the loss of life satisfaction, and with it the psychological costs of the COVID-19 pandemic and the lockdown measures taken, for self-employed and women. Building on the data collected by Windsteiger et al. (2020) and their internet interviews at the peak of lockdown measures, and looking at specific population subgroups, this essay illustrates that many solo self-employed and women report a significant decline in life satisfaction, and that these effects are strongest where solo self-employment coincides with economic losses and childcare responsibilities for women with children of dependent age.Since France was put into lockdown on 17 March 2020 in an unprecedented step to attempt to limit the spread of coronavirus, there has been a sharp fall in the number of psychiatric emergency admissions despite the COVID-19 pandemic which has increased stress levels. The first part of this study shows the reorganisation and adaptation of mental health services to meet the needs in the psychiatric department. The second part is a brief analysis of patient flows to CPOA and the presentation of different hypotheses explaining these disruptions during lockdown. Finally, this study discusses the facts of three clinical cases during this period.