Disentangling dynamic affect trajectories for distinct depression courses during the COVID-19 pandemic

Background. Why does adversity lead to mental health complaints in some, but not others? Individual differences in the development of depressive complaints are related to the regulation of affect states. The COVID-19 pandemic has caused a prolonged period of perturbations to the daily lives of people across the globe, providing an unparalleled opportunity to investigate how fluctuations in positive and negative affect relate to the evolution of mood complaints.Methods. 228 participants from the Boston College daily sleep and well-being survey completed at least 20 assessments of positive and negative affect and depression complaints between March 20th 2020 and June 26th 2020. We explored affect trajectories throughout this period and estimated longitudinal multilevel network models. Furthermore, we investigated how individual network structures relate to changes in depression severity over time.Results. On average, positive affect was reported somewhat higher than negative affect. However, when separating affect trajectories based on the individuals’ depressive complaints, we identified that individuals consistently experiencing depressive complaints report higher levels of negative affect compared with positive affect. Contrary, individuals consistently reporting no depressive complaints show opposite results. Furthermore, we found many and strong associations in the multilevel network between the distinct affect states and depressive complaints. Lastly, we established that the higher the connectivity of an individual’s network, the larger their change in depressive complaints is.Conclusions. We conclude that affect fluctuations are directly related to the development of depressive complaints, both within- and across individuals, and both within a single measurement moment and over time.

Design of a New Technology to Evaluate the Rocket Forecast Path of a Real-Time Object Under a Multi-Dimensional Graphic Scheme

This article provides a quick and precise algorithm for improving the accuracy of the ballistic path forecast. In order to assess projectile approach corners in every measurement moment the algorithm is focused on the six degree freedom path rules (6DOF). The algorithm uses DFP to fix the nonlinear equations and Doppler trajectory sample data comprising the projectile only location cords to rebuild the linear data. The radar data can therefore be obtained via the projectile. At the end of the radar measurement, “position coordinates of the test” and “angular reconstruction displacements” serve as the initial value for the track calculation for the extrapolation of the path impact. The numerical simulations validate the technique suggested and show that the projected effect value is very consistent with the actual technique. Moreover, other algorithm artillery trajectory can be anticipated, and the suggested algorithm can also be used with other trajectory designs such as 4DOF or 5DOF.

Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review

The literature on portfolio selection and risk measurement has considerably advanced in recent years. The aim of the present paper is to trace the development of the literature and identify areas that require further research. This paper provides a literature review of the characteristics of financial data, commonly used models of portfolio selection, and portfolio risk measurement. In the summary of the characteristics of financial data, we summarize the literature on fat tail and dependence characteristic of financial data. In the portfolio selection model part, we cover three models: mean-variance model, global minimum variance (GMV) model and factor model. In the portfolio risk measurement part, we first classify risk measurement methods into two categories: moment-based risk measurement and moment-based and quantile-based risk measurement. Moment-based risk measurement includes time-varying covariance matrix and shrinkage estimation, while moment-based and quantile-based risk measurement includes semi-variance, VaR and CVaR.

The Outcome of the Single Step Questionnaire in Pectus Excavatum Patients is Phase Dependent

Introduction Pectus excavatum (PE) is the most common chest wall deformity. Patients with PE may have cosmetic complaints, restricted physical capabilities, or both and may seek surgical correction. One method to assess satisfaction after surgery is the single step questionnaire (SSQ). Although the developers state that the SSQ produces a stabile score and only needs to be used once, we hypothesized that the score may depend on point in time after surgery. Materials and Methods One hundred and eight patients from a longitudinal cohort of patients undergoing a Nuss bar placement for PE were selected. Mean age was 16.0 years (range: 12–29). SSQ was completed at 6 weeks, 6 months, 1 year, and 2 years postoperatively. Mean and median scores per question and total scores were calculated on each measurement moment. Overall scores were tested using the Friedman test. Results There were significant differences in overall SSQ scores (p < 0.009) throughout the postoperative period, especially between 6 weeks and 6 months (p = 0.006). Scores on general health, exercise capacity, impact on social life, pain during hospital stay, and after discharge changed also significant in the first 2 years after Nuss bar placement. Conclusion There were significant differences in total SSQ score depending on the time of application postoperatively. However, the most clinical relevant difference was between 6 weeks and 6 months. Assessment of the overall satisfaction postoperative with the SSQ questionnaire should not be done with a single measurement but rather at different postoperative time intervals before and after 6 months postoperatively.