Groundwater regimes are key determinants influencing the outcome of peatland ecosystem restoration programmes. Despite widespread application, impacts of ditch blocking on water table levels (WTLs) re...
Among the various disruptions to landscape sustainability caused by the full-scale invasion of Ukraine, the war-related impacts on the supply of cultural ecosystem services (CES) remain understudied. ...
Robin sequence (RS) is congenital craniofacial condition characterized by micrognathia, glossoptosis, and upper airway obstruction, frequently leading to life-threatening respiratory compromise and fe...
Purpose: To assess prostate biopsy uptake and its predictors among patients previously found to have elevated Prostate-Specific Antigen results at the Kyabirwa Surgical Center. Method: An analytical c...
A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...
This paper investigates the gap between portfolio choice theory and observed household behavior by examining how wealth composition influences stock market participation. I develop a participation mod...
The growing prevalence of diabetes highlights the need for scalable, accurate, and privacy-conscious testing technologies. To train models, traditional machine learning (ML) techniques often rely on c...
Among Time-Sensitive Networking (TSN) mechanisms, the Credit-Based Shaper (CBS) ensures bounded latency, while Frame Replication and Elimination for Reliability (FRER) enhances fault tolerance through...
Background The 2023 Kahramanmaraş Earthquakes placed an immense psychosocial burden on healthcare workers. This study explores the experiences of professionals navigating a profound "dual role" parado...
Tire wear particles (TWPs), an emerging anthropogenic micro- and nanoplastic aerosol, are carbon-containing and light-absorbing. Yet the radiative forcing of TWPs has been difficult to assess due to t...
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