A new international study led by Kaunas University of Technology reveals that digital mental health start-ups reaching unicorn status tend to secure private funding early, prioritise simple, scalable services, and use subscription models –  while reliance on state funding may actually hinder growth. The research, based on 125 ventures (including 12 unicorns), suggests success stems from strategic, complementary choices rather than technological complexity alone. Researchers call for a shift in European investment policy to focus more on market relevance and user impact rather than deep tech or rigid scientific criteria.

A new Virginia Tech study highlights the impact of marijuana legalization on hotels.

Digital twins for automated material handling systems (AMHSs) of semiconductor and display fabrication industries suffer from parameter uncertainty and discrepancy. This leads to inaccurate predictions, ultimately affecting performance. To address this, researchers have developed a new Bayesian calibration framework that simultaneously accounts for both parameter uncertainty and discrepancy, improving the prediction accuracy of digital twin models. This innovative framework holds great potential for enhancing digital twin applicability across diverse industries.

A study by UCO's Department of Agricultural Economics, Finance and Accounting identifies stability and flexibility as the two components of farms' economic resilience and underscores the need for more targeted agricultural policies to ensure their effectiveness