UL3DCN: A novel wearable thermal infrared imaging enhancement technology
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Apr-2026 11:15 ET (3-Apr-2026 15:15 GMT/UTC)
With the increasing frequency of natural disasters and health emergencies, wearable infrared thermal imaging devices have gained widespread use in the firefighting and medical fields. However, such devices tend to have poor imaging performance and often suffer from low contrast, dark areas, high noise and blurred boundaries, which greatly hinder practical applications.
The Blavatnik Awards for Young Scientists today announced the Finalists for the 2026 Blavatnik Awards for Young Scientists in the United Kingdom. The Awards recognise scientific advances by UK researchers across Life Sciences, Chemical Sciences, and Physical Sciences & Engineering. Now in its ninth year, each Blavatnik Awards Laureate will receive an unrestricted £100,000 (US$135,000) prize, while the remaining six Finalists will be awarded £30,000 (US$40,400) each.
This year’s Finalists include:
Chemical Sciences Finalists
Michael J. Booth, PhD – University College London (UCL)
Mathew H. Horrocks, PhD – The University of Edinburgh
Maxie M. Roessler, DPhil – Imperial College London
Life Sciences Finalists
Nicholas R. Casewell, PhD – Liverpool School of Tropical Medicine
Thi Hoang Duong (Kelly) Nguyen, PhD – MRC Laboratory of Molecular Biology
Pontus Skoglund, PhD – The Francis Crick Institute
Physical Sciences & Engineering Finalists
Radha Boya, PhD – The University of Manchester
Paola Pinilla, PhD – University College London (UCL)
Iestyn Woolway, PhD – Bangor University
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Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This problem has been widely studied in the context of graph stream processing. However, most of these algorithms are not robust or are limited to unweighted graphs. The reason why they do not robust is because most algorithms assume that the entire stream is predetermined before algorithm execution, rendering them vulnerable to adaptive inputs.
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Professor Jongmin Kim’s research team at POSTECH develops ‘SUPER’ platform, significantly enhancing the performance and stability of gene regulatory devices.