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U.S. Treasury Sec. Bessent calls for internal Fed review, possible loss of regulatory function

CNBC's Steve Liesman joins 'Halftime Report' to discuss Treasury Secretary Bessent's sweeping criticism of the Fed. Four men drove hundreds of miles to hunt hares U.S. announces major visa crackdown U ...
insider.si.edu

211: Propellant Mass Factor as Function of Specific Impulse & Mass Fraction for Several Propulsion Systems & An Ideal Velocity Capability of 40 km/sec

CC0 Usage Conditions ApplyClick for more information. Material is subject to Smithsonian Terms of Use. Should you wish to use NASM material in any medium, please ...
Public Technology

EXCL: Government CDO concludes term with DSIT perm sec to oversee work of GDS and digital function

Credit for all pictures: Crown Copyright/Open Government Licence v3.0 Chief digital officer Joanna Davinson departs interim role with departmental head Emran Mian to ...
IEEE

Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification

Abstract: Recently, many works on Graph Neural Networks (GNNs) have been well developed for graph-level representation learning tasks and continuously improve graph classification accuracy. These ...
GitHub

Struct2GO:protein function prediction based on Graph pooling algorithm and AlphaFold2 structure information

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 ...
IEEE

Bilinear Scoring Function Search for Knowledge Graph Learning

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 ...
GitHub

ProtHGT: Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Knowledge Graphs and Language Models

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 ...