Contextualizing Emerging Trends in Financial News Articles

Identifying and exploring emerging trends in news is becoming more essential than ever with many changes occurring around the world due to the global health crises. However, most of the recent research has focused mainly on detecting trends in social media, thus, benefiting from social features (e.g. likes and retweets on Twitter) which helped the task as they can be used to measure the engagement and diffusion rate of content. Yet, formal text data, unlike short social media posts, comes with a longer, less restricted writing format, and thus, more challenging. In this paper, we focus our study on emerging trends detection in financial news articles about Microsoft, collected before and during the start of the COVID-19 pandemic (July 2019 to July 2020). We make the dataset accessible and we also propose a strong baseline (Contextual Leap2Trend) for exploring the dynamics of similarities between pairs of keywords based on topic modeling and term frequency. Finally, we evaluate against a gold standard (Google Trends) and present noteworthy real-world scenarios regarding the influence of the pandemic on Microsoft. ©2022 Association for Computational Linguistics.

Effective node vaccination and containing strategies to halt SIR epidemic spreading in real-world face-to-face contact networks

We model the COVID-19 spreading by running SIR Monte-Carlo simulations in four real face-to-face contact networks. We evaluate the effectiveness of the 'facemask use' and 'vaccination policies' to curb epidemic spreading. We model the facemask use policy by assuming a lower individual infection probability β. We found that while this strategy can delay the disease spreading, it does not significantly reduce the total number of infected individuals (TI), as 80% of the total population still is infected at the end of the epidemic. We model vaccination by setting individual's infection probability β=0, which is equivalent to remove nodes/individuals from the network. The vaccination was found to be very effective. Even with a partial vaccination of 30% of the population nodes selected considering their centrality measure ranking, such as degree, betweenness, or PageRank, it was possible to reduce the TI of 14%. Finally, yet importantly, random partial vaccination is not effective at all, meaning that most of the unvaccinated population will be infected. © 2022 IEEE.

The impact of the COVID-19 pandemic on the stressful relationship between parents and children

The stressful relationship between children and parents is the pain both go through when they find themselves unable to cope as a parent or a child. In order to find out the status, causes, and impacts of the COVID-19 pandemic and suggest some solutions to reduce stress between parents and children, we surveyed the impact of the COVID-19 pandemic on stressful relationships between parents and children at high school age in Da Nang city. The findings of a survey conducted on 550 randomly selected parents and 550 high school students using the Perceived Stress Scale reveal a high rate of tension between parents and their children, particularly up to 51.1% and 38.5%, respectively. In reality, many factors are affecting the stressful relationship between parents and their children at this age, in which psychological fear about health;social distancing policy;closed schools;students staying at home 24 hours a day and learning online;the disruption in children's daily routine;excessive use of electronic devices are major causes of stress in the relationship between parents and their children. From this practice, our research team has proposed such solutions as participating in creative activities and consulting the handbook instructing parents' behaviour rules toward children and vice versa, designing extra-curricular activities, and organizing training courses on life values for both parents and children to increase happiness and reduce stress in the parent-child relationship.

Factors Affecting Green Entrepreneurship Intentions During the COVID-19 Pandemic: An Empirical Study in Vietnam

At present, environmental problems are gradually becoming quite serious because of the expansion of the business scale of companies, factories, and enterprises, and that is also the reason for the global pollution of the world. Green entrepreneurship is playing an increasingly crucial role in influencing people's intentions, behaviors, and attitudes toward environmental protection through sustainable development. The purpose of this research was to examine the factors affecting university students' green entrepreneurship levels in Vietnam. To do this, we performed a scientific research survey with 773 students from reputable universities in Vietnam, 337 of whom are male and 436 of whom are female. To assess the reliability and correlation between observed and total variables, this study employs scale testing methods such as Cronbach alpha, EFA, CFA, and SEM. After evaluating the influencing elements, the findings reveal that the Subjective norm factor and the Risk-aversion component are two distinct aspects that influence university students' green entrepreneurship intentions in Vietnam and of which, the greatest influence is Risk Aversion. Furthermore, the findings revealed that the level of interest in green entrepreneurship is mostly seen by students with university education between the ages of 18-25.