Résumé
The aim of this article is to explore whether COVID-19 aroused an awareness of death, inflamed death anxiety, and affected mental health and to assess the degree that meaning in life played in the relationship between death anxiety and general mental health. A total of 197 participants were recruited using convenience sampling and were divided into an experimental group (n = 100) and a control group (n = 97). All participants completed the Death Anxiety Scale (DA), the Meaning in Life Questionnaire (MLQ), and the General Health Questionnaire (GHQ-12). Death anxiety had a significant positive predictive effect on general mental health and meaning in life. When death anxiety and meaning in life were included in the regression equation, death anxiety still had a significant positive predictive effect on general mental health, and meaning in life had a significant positive predictive effect on general mental health. These results indicated that meaning in life played a partially mediating role in the influence of death anxiety on general mental health. In the COVID-19 context, death information was found to arouse awareness of death and death anxiety, which adversely affected mental health, and it was also confirmed that meaning in life played a partially mediating role between death anxiety and general mental health, which suggested that mental health problems could be alleviated in the future by helping people find meaning and value in their lives and cope more positively with death.
Résumé
The 2022 Winter Olympics bid success promoted the development of the ice and snow sports in China. The emergence of indoor skiing system drives the ski and snow sports into a highly developed period especially at the normal prevention and control stage of COVID-19. However, the conventional indoor skiing system is insufficient in sports experience and inability to track the skier trajectory and attitude for training. Fortunately, the Ultra-Wide Band (UWB) and Micro Inertial Navigation System (MINS) are widely used in indoor environments due to high-precision positioning and low-cost priorities. UWB presents high accuracy in positioning, while it is easily to be disturbed by the Non Line of Sight (NLOS) and multipath effects. Meanwhile, the MINS error would accumulate with time. Therefore, this paper proposed a MINS/UWB integration algorithm to implement the trajectory and attitude measurement of the skier with low-cost. Meanwhile, the MINS/UWB based Extended Kalman Filter (EKE) is designed with sequential algorithm for skiing. Finally, both the indoor positioning experiment and the intelligent skiing system verification experiment were carried out to verify the accuracy of MINS/UWB integration system. Experimental results show the MINS/UWB integration technology could locate effectively When the UWB signal is intermittently blocked.
Résumé
The motivation of this work is to build a multimodal-based COVID-19 pandemic forecasting platform for a large-scale academic institution to minimize the impact of COVID-19 after resuming academic activities. The design of this multimodality work is steered by video, audio, and tweets. Before conducting COVID-19 prediction, we first trained diverse models, including traditional machine learning models (e.g., Naive Bayes, support vector machine, and TF-IDF) and deep learning models [e.g., long short-term memory (LSTM), MobileNetV2, and SSD], to extract meaningful information from video, audio, and tweets by 1) detecting and counting face masks, 2) detecting and counting cough for potential infected cases, and 3) conducting sentiment analysis based on COVID-19-related tweets. Finally, we fed the multimodal analysis results together with daily confirmed cases data and social distancing metrics into the LSTM model to predict the daily increase rate of confirmed cases for the next week. Important observations with supporting evidence are presented. © 1997-2012 IEEE.