Sofia University "St. Kliment Ohridski"

A Methodological Prototype for Assessing SME Digitalization through Survey Data, Web Scraping, and Human-in-the-Loop Validation

Reliable assessment of the digitalization of small and medium-sized enterprises (SMEs) remains a methodological challenge, as existing studies rely predominantly on survey-based instruments and self-reported information. This article proposes a methodological prototype for evalua...

A Well-Being-Centric Walkable Tourism Platform Using AI Agent

We propose a Well-Being-Centric Walkable Tourism Platform Using AI Agent that fuses heterogeneous urban data—an OSM pedestrian graph, a city-scale microclimate field, and a walkability layer for Sofia, Bulgaria—with an AI agent that converts freetext user requests into a constrai...

Evaluating High-Resolution Geospatial Data for Urban Microclimate Simulations: A Comparative Study Using Official Local and Open Global Datasets in Sofia

Recent advances in digital technologies have enabled the development of urban tools that integrate geospatial data to support the analysis of complex urban systems and climate change. However, the reliability of such tools depends strongly on the availability and integration of h...

Study of Supernova Neutrinos at ESSnuSB

In this paper, we have studied the sensitivity of the ESSnuSB far detector to supernova neutrinos. ESSnuSB is a proposed long-baseline neutrino experiment in Sweden, which will use a 538 kt water Cherenkov detector to probe the leptonic phase δCP by studying the second oscillatio...

Browser-Native Federated Inference on Existing Italian SSN Clinical Workstations: A Peer-to-Peer Sovereignty-Preserving AI Architecture for Italian Regional Health Networks

Clinical adoption of large language models (LLMs) in public healthcare faces a structural impasse: the capital expenditure of centralised high-performance computing on one side and the privacy risk of routing patient data through third-party cloud interfaces on the other. Italian...

In vitro studies of detoxification by intravenous fat emulsions: mechanism of action and preclinical assessment tools

Introduction The use of intravenous fat emulsions for treatment of drug intoxication still follows a trial-and-error approach, due to insufficient understanding of the mechanisms of the process and lack of predictive in vitro tools.Methods We studied the physicochemical mechanism...

Statistics of Marginal Wave Functions as a Real-SpaceDiagnostic of Quantum Entanglement

Abstract We present a statistical framework for extracting spatially resolved entanglement directly from an ensemble of marginal (one-body) wave functions in time-dependent Quantum Monte Carlo (TDQMC). Treating the guide waves as a statistical mixture in Hilbert space, we show th...