By applying machine learning to the accurate and cost-effective classification of photos
based on sentiment, we introduce a daily market-level investor sentiment index (Photo …

Social media platforms face rampant misinformation spread through multimedia posts
shared in highly-personalized contexts [10, 11]. Foundational qualitative research is …

Massive efforts are made to reduce biases in both data and algorithms to render AI
applications fair. These efforts are propelled by various high-profile cases where biased …

Advocates of the arts agree that the K‐12 curriculum should include dedicated time for arts
instruction. Some have argued further that knowledge and skills acquired through the arts …

Drawing a picture of to-be-remembered information substantially boosts memory
performance in free-recall tasks. In the current work, we sought to test the notion that …

Information delivery in a visual format is always a better way of communication. Even with
many data visualization techniques available, visualizing enormous amounts of data has …

Objective. Directly decoding imagined speech from electroencephalogram (EEG) signals
has attracted much interest in brain–computer interface applications, because it provides a …

We tested whether semantic relatedness between to‐be‐remembered items and item
presentation format (pictorial vs. verbal) affects associative recall. Fifty‐nine children (11–13 …

ABSTRACT A Ubiquitous Learning Log (ULL) is defined as a digital record of what a learner
has learned in daily life using ubiquitous computing technologies. In this paper, a project …

In this paper, we propose a method to protect the hashed passwords by using topological
graphic sequences. This method works effectively even if the password file is leaked. First …