As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The anti-ICE mobilization that unfolded around the killing of Alex Pretti in Minneapolis last week mirrored the methods used to overthrow governments and spark bloody revolutions around the globe, ...

Binaural beat (BB) stimulation has been shown to enhance working memory (WM); however, its role in information segregation and neural processing mechanisms remains insufficiently explored. This study ...

The transition from childhood to early adolescence is a critical developmental period, particularly in rural areas where unique factors play a significant role. This study examined the interplay of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Molecular Dynamics simulations are indispensable tools for comprehending the dynamic ...

Abstract: Fraudulent claims in the automobile industry pose a significant threat to the financial stability of insurance companies and erode the trust between policyholders and insurers. Organized ...

Microfluidic systems have revolutionized a great variety of chemical and biological processes and assays. Increases in complexity often demand the creation of microfluidic networks which are simple to ...

Jane JaeYeon Pyo, a third-year Tepper School of Business doctoral student, has developed a way to measure the distances between financial statements and a novel method of interpreting them, offering a ...