Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"

Locomotion and hunting strategies of large vertebrate predators in pelagic waters

Abstract Many of the key dynamics that shape predator–prey interactions are governed by the physical and physiological principles which determine how animals move and perform in their environments. This opinion paper outlines the foundations underlying marine vertebrate predator–...

AIDeR: Precision-Oriented Author Name Matching for FAIR Scholarly Metadata Enrichment at Scale

Matching personal names across heterogeneous bibliographic datasets is a fundamental yet challenging string matching problem: variations in formatting, cultural conventions, abbreviations, and transliteration make it difficult to reliably identify when two name strings refer to t...

AIDeR: Precision-Oriented Author Name Matching for FAIR Scholarly Metadata Enrichment at Scale

Matching personal names across heterogeneous bibliographic datasets is a fundamental yet challenging string matching problem: variations in formatting, cultural conventions, abbreviations, and transliteration make it difficult to reliably identify when two name strings refer to t...

Unsupervised ecosystem risk assessment in the Baltic Sea reveals bottom-oxygen depletion and fishing pressure as key threats in species-abundant hotspots

Abstract Marine ecosystems are increasingly shaped by the combined effects of multiple environmental and anthropogenic stressors, generating non-linear, spatially heterogeneous patterns of risks to ecosystem functioning. The Baltic Sea represents a paradigmatic system where geogr...

PhDGPT: Measuring bias in academic mental health across quantised and uncensored LLMs

We investigate bias in academic mental health as reflected by Large Language Models (LLMs). To this aim, we introduce PhDGPT, a synthetic dataset encapsulating the machine psychology of Ph.D. researchers and professors as perceived by OpenAI’s GPT-3.5 and GPT-OSS-20b. The dataset...

Comparative Prognostic Value of AFP, PIVKA-II, and GPC-3 in Hepatocellular Carcinoma: A Real-World Multicenter Cohort Study

Background/Objectives: The current cornerstone for prognostic hepatocellular carcinoma (HCC) stratification is the Barcelona Clinic Liver Cancer (BCLC) score, which integrates tumor and liver function staging but lacks tumor biology parameters. Serum tumor biomarkers, such as alp...

From perception to reaction: an RLCC-engine-driven cybersecurity framework for smart agricultural ecosystems

Abstract Agriculture 4.0 makes significant use of interconnected sensors, autonomous farm equipment, cloud-based farm management systems, and data-driven decision-making. Even though these tools make farm operations more productive and sustainable, they also expose farm equipment...

Cortical dynamics in Angelman syndrome: novel insights from a preclinical mouse model

Angelman syndrome (AS) is a neurogenetic disorder caused by the loss of function in the maternally inherited UBE3A gene, leading to a spectrum of symptoms that include developmental delays, intellectual disability, and motor impairments. While genetic and molecular mechanisms of...

Experimental modal-based damage evaluation of masonry cross-vaults under quasi-static and dynamic cyclic loading

Masonry cross-vaults are double-curvature structural systems widely employed in historic churches and monumental buildings, which exhibit a pronounced vulnerability to seismic actions owing to the mechanical characteristics of their constituent materials. In such structures, diag...