Green Economy – Vector of Sustainable Development

The article is devoted to the formation of theoretical, methodological foundations and the development of conceptual approaches to the practical provision of the green economy, considered as a vector of sustainable development. The study substantiates the need to create a new global economic school. The existence of two concepts of economic development of future generations is established. The author’s vision of economic growth in the conditions of sustainable development is formed, as well as its necessity is also proved. A component model of sustainable development is proposed, which allows reflecting the essence and content of the green economy. The positive experience of green integration is summarized. The negative aspects on the way to the practical implementation of the Millennium Development Goals are identified.

Revisiting the Post-glitch Relaxation of the 2000 Vela Glitch with the Neutron Star Equation of States in the Brueckner and Relativistic Brueckner Theories

We revisit the short-term post-glitch relaxation of the Vela 2000 glitch in the simple two-component model of the pulsar glitch by making use of the latest realistic equations of states from the microscopic Brueckner and the relativistic Brueckner theories for neutron stars, which can reconcile with the available astrophysical constraints. We show that to fit both the glitch size and the post-glitch jumps in frequency derivatives approximately 1 minute after the glitch, the mass of the Vela pulsar is necessarily small, and there may be demands for a stiff equation of state (which results in a typical stellar radius larger than ∼12.5 km) and a strong suppression of the pairing gap in the nuclear medium. We discuss the implications of this result on the understanding of pulsar glitches.

Joint spatio-temporal modelling of adverse pregnancy outcomes sharing common risk factors at sub-county level in Kenya, 2016–2019

Background Adverse pregnancy outcomes jointly account for a high proportion of mortality and morbidity among pregnant women and their infants. Furthermore, the burden attributed to adverse pregnancy outcomes remains high and inadequately characterised due to the intricate interplay of its etiology and shared set of important risk factors. This study sought to quantify and map the underlying risk of multiple adverse pregnancy outcomes in Kenya at sub-county level using a shared component space-time modelling framework. Methods Reported sub-county level adverse pregnancy outcomes count from January 2016 – December 2019 were obtained from the Kenyan District Health Information System. A Bayesian hierarchical spatio-temporal model was used to estimate the joint burden of adverse pregnancy outcomes in space (sub-county) and time (year). To improve the precision of our estimates over time and space, information across the outcomes were combined via the shared and the outcome-specific components using a shared component model with spatio-temporal interactions. Results Overall, the total number of adverse outcomes in pregnancy increased by 14.2% (95% UI: 14.0–14.5) from 88,816 cases in 2016 to 101,455 cases in 2019. Between 2016 and 2019, the estimated low birth weight rate and the pre-term birth rate were 4.5 (95% UI: 4.4–4.7) and 2.3 (95% UI: 2.2–2.5) per 100 live births. The stillbirth and neonatal death rates were estimated to be 18.7 (95% UI: 18.0–19.4) and 6.9 (95% UI: 6.4–7.4) per 1000 live births. The magnitude of the spatio-temporal variation attributed to shared risk was high for pre-term births, low birth weight, neonatal deaths, stillbirths and neonatal deaths, respectively. The shared risk patterns were dominant in sub-counties located along the Indian ocean coastline, central and western Kenya. Conclusions This study demonstrates the usefulness of a Bayesian joint spatio-temporal shared component model in exploiting specific and shared risk of adverse pregnancy outcomes sub-nationally. By identifying sub-counties with elevated risks and data gaps, our estimates not only assert the need for bolstering maternal health programs in the identified high-risk sub-counties but also provides a baseline against which to assess the progress towards the attainment of Sustainable Development Goals.

Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends

This study aimed to analyze and predict interest in mental health-related queries created in Google Trends (GT) during the COVID-19 pandemic. The Google Trends tool collected data on the Google search engine interest and provided real-time surveillance. Five key phrases: “depression”, “insomnia”, ”loneliness”, “psychologist”, and “psychiatrist”, were studied for the period from 25 September 2016 to 19 September 2021. The predictions for the upcoming trend were carried out for the period from September 2021 to September 2023 and were estimated by a hybrid five-component model. The results show a decrease of interest in the search queries “depression” and “loneliness” by 15.3% and 7.2%, respectively. Compared to the period under review, an increase of 5.2% in “insomnia” expression and 8.4% in the “psychiatrist” phrase were predicted. The expression “psychologist” is expected to show an almost unchanged interest. The upcoming changes in the expressions connected with mental health might be explained by vaccination and the gradual removal of social distancing rules. Finally, the analysis of GT can provide a timely insight into the mental health interest of a population and give a forecast for a short period trend.

Why are Psychopaths Difficult to Treat? Testing the Two-Component Model for the Treatment of PCL Psychopaths

<p>Psychopathic personality disorder as conceptualised by the family of scales referred to as the Psychopathy Checklist (PCL), is often cited as a specific responsivity characteristic that will interfere with an otherwise effective treatment programme. However, most research on the treatment of prisoners high on PCL psychopathy asks whether or not they are treatable as opposed to why they are difficult to treat. The Two-Component model (2-C; Wong & Olver, 2015) for the treatment of PCL psychopaths proposes that treatment difficulties observed for those high on PCL psychopathy are primarily caused by the interpersonal and affective personality features of psychopathy represented by PCL Factor 1 (F1). Thus the 2-C model suggests that therapists work around the emotional deficits and disruptive behaviours associated with PCL F1 to focus on changing risk-relevant behaviours that are associated with PCL Factor 2 (F2). In this thesis, we test the assumptions of the 2-C model with a group of high-risk violent men who attended an intensive violence treatment programme and were assessed with a PCL instrument. Specifically, we examined whether the personality features of PCL psychopathy led to more treatment difficulties than the behavioural features by exploring relationships between the factors/facets of the PCL and treatment completion, reconviction, change on dynamic risk, the therapeutic alliance and behaviour during treatment. In support of the 2-C model we found that PCL:SV Part 1 and its underlying facets were significantly associated with higher rates of removal from treatment, a poorer therapeutic alliance, and lower levels of emotional and performance based behaviours during treatment. Mediation analyses also revealed that the relationships between PCL:SV Part 1 variables and removal were partly explained by lower levels of emotional and performance based behaviours. Also in support of the 2-C model, we found that PCL:SV Part 2 and its underlying facets demonstrated stronger, significant associations with pre-treatment dynamic risk and post-treatment reconvictions when compared with PCL:SV Part 1 variables. Furthermore, poorer performance based behaviours during treatment mediated relationships between PCL:SV Part 2 variables and reconviction outcomes. Several of our findings however, also failed to support or contradicted assumptions of the 2-C model. All these findings are discussed in relation to their implications for the 2-C model, psychopathy treatment research, specific responsivity, the structure of PCL psychopathy, and the utility of the PCL in forensic and legal settings.</p>