Ph.D.Expressive flexibility, or the ease with which one can switch between enhancing and suppressing emotional expressions in line with situational demands, appears to positively predict psychological well-being among adults. To date, however, this construct has not been explored among youth. The present thesis provided detailed investigations of expressive flexibility in childhood and adolescence, including measurement and development issues as well as links with peer relations. A General Introduction (Chapter 1) describes the theoretical and empirical foundations that inspired this research, as well as unaddressed issues. This is followed by three empirical chapters.The most frequently-used measurement tool of adults’ expressive flexibili...
Ph.D.The prevailing decision-making model named as multi-armed bandits (MAB) elegantly characterizes...
Ph.D.Natural Language Understanding (NLU) is focusing on enabling machine to understand and process ...
Advancements of deep neural networks (DNNs) carry great potential to make significant contributions ...
M.Phil.This study compared the effects of explicit and implicit oral corrective feedback on the acqu...
This dissertation aimed to build a bridge between discussions in the study of cultural beliefs and s...
Ph.D.Recent studies on the deep neural network reveal its ability to extract abstract semantics from...
M.Phil.On Facebook, users consume news content at their own news feeds where news reports and opinio...
Huge amounts of textual content, such as news articles, product reviews, and social media posts, are...
With rapid developments of artificial intelligence in the medical field, the demand for intelligent ...
Recent years have witnessed remarkable advances of machine learning in computer vision applications....
Ph.D.The information technology (IT) paradox has been studied for decades by scholars, with efforts ...
Ph.D.Previous studies have revealed that adolescents with Attention Deficit Hyperactivity Disorder (...
Ph.D.Sequence learning aims to process sequential data such as text, speech, and video, and discover...
Ph.D.Parental emotion socialization has been proposed to capture the transactional processes whereby...
Ph.D.Tail risk lies in the center of financial risk management. Precise modeling and forecasting of ...
Ph.D.The prevailing decision-making model named as multi-armed bandits (MAB) elegantly characterizes...
Ph.D.Natural Language Understanding (NLU) is focusing on enabling machine to understand and process ...
Advancements of deep neural networks (DNNs) carry great potential to make significant contributions ...
M.Phil.This study compared the effects of explicit and implicit oral corrective feedback on the acqu...
This dissertation aimed to build a bridge between discussions in the study of cultural beliefs and s...
Ph.D.Recent studies on the deep neural network reveal its ability to extract abstract semantics from...
M.Phil.On Facebook, users consume news content at their own news feeds where news reports and opinio...
Huge amounts of textual content, such as news articles, product reviews, and social media posts, are...
With rapid developments of artificial intelligence in the medical field, the demand for intelligent ...
Recent years have witnessed remarkable advances of machine learning in computer vision applications....
Ph.D.The information technology (IT) paradox has been studied for decades by scholars, with efforts ...
Ph.D.Previous studies have revealed that adolescents with Attention Deficit Hyperactivity Disorder (...
Ph.D.Sequence learning aims to process sequential data such as text, speech, and video, and discover...
Ph.D.Parental emotion socialization has been proposed to capture the transactional processes whereby...
Ph.D.Tail risk lies in the center of financial risk management. Precise modeling and forecasting of ...
Ph.D.The prevailing decision-making model named as multi-armed bandits (MAB) elegantly characterizes...
Ph.D.Natural Language Understanding (NLU) is focusing on enabling machine to understand and process ...
Advancements of deep neural networks (DNNs) carry great potential to make significant contributions ...