Six experiments are described that use magnitude estimation methods to characterize a nonlinear (approximately square root) utility function for money. These same methods can be used to assign ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

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Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

Abstract: In bioinformatics, protein function prediction stands as a fundamental area of research and plays a crucial role in addressing various biological challenges, such as the identification of ...

Among the projects making headlines, BlockchainFX has emerged as a leader with its all-in-one trading vision and impressive ...

Artificial Intelligence (AI) is no longer just a futuristic idea, it's a dynamic force reshaping how data is processed, ...

Scientists in India are nearly making electricity from thin air, thanks to a new device that relies on evaporation.

Tokens are at the center of Web3. They are not only digital currency but also represent access, governance, or utility in a network. A token may allow ...

While projects like BlockDAG and LIL PEPE seek attention, Layer Brett ($LBRETT) has rapidly emerged, its presale surpassing $3 million. This next-generation Ethereum Layer 2 memecoin expertly fuses ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...