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Found 6 papers, 2 papers with code
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction
In particular, the main contribution can be summarized by: (i) an innovative strategy for iteratively prompting large language models to extract relevant components of the final graph; (ii) a zero-shot strategy for each prompt, meaning that there is no need for providing examples for "guiding" the prompt result; (iii) a scalable solution, as the adoption of LLMs avoids the need for any external resources or human expertise.
Reconstruction of the temporal correlation network of all-cause mortality fluctuation across Italian regions: the importance of temperature and among-nodes flux
All-cause mortality is a very coarse grain, albeit very reliable, index to check the health implications of lifestyle determinants, systemic threats and socio-demographic factors.
Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks
Protein Contact Network (PCN) is a powerful tool for analysing the structure and function of proteins.
FootApp: an AI-Powered System for Football Match Annotation
The analysis of football matches relies on the annotation of both individual players' and team actions, as well as the athletic performance of players.
Human-Computer Interaction Systems and Control Systems and Control
Characterization of graphs for protein structure modeling and recognition of solubility
This paper deals with the relations among structural, topological, and chemical properties of the E. Coli proteome from the vantage point of the solubility/aggregation propensity of proteins.
Toward a multilevel representation of protein molecules: comparative approaches to the aggregation/folding propensity problem
This paper builds upon the fundamental work of Niwa et al. [34], which provides the unique possibility to analyze the relative aggregation/folding propensity of the elements of the entire Escherichia coli (E. coli) proteome in a cell-free standardized microenvironment.
