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"When a face has been threatened, face-work must be done"

The emergence of social media opens up more places for interaction. The interaction enables individuals to produce how they want to be perceived by an audience, which can be referred to as image. Image is essential since people will act to fit this picture. However, image can be ravaged in a moment, which causes individuals to take actions to repair the audience's perception of image, if threa

Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence : A machine learning and free energy handshake

DNA carries the genetic code of life, with different conformations associated with different biological functions. Predicting the conformation of DNA from its primary sequence, although desirable, is a challenging problem owing to the polymorphic nature of DNA. We have deployed a host of machine learning algorithms, including the popular state-of-the-art LightGBM (a gradient boosting model), for b

R9K Tuned

30 maj 2026 19:00 till 22:00 | Utställning, Övrigt 30 May 2026Time slots: at 19:00, at 20:00, at 21:00 (max. 15 people per session)Registration: Please register directly with the artists using the following registration form.“R9K Tuned” is a collaborative cross-disciplinary project by Jonatan Bergsman and Oda Haugerud situated between experimental music and fine arts. An artistic investigation exp

https://www.lu.se/evenemang/r9k-tuned-oda-haugerud-jonatan-bergsman - 2026-05-02

A harmonized and spatially explicit dataset from 16 million payments from the European Union's Common Agricultural Policy for 2015

The Common Agricultural Policy (CAP) is the largest budget item in the European Union, but varied data reporting hampers holistic analysis. Here we have assembled the first dataset to our knowledge to report individual CAP payments by standardized CAP funding measures and geolocation. We created this dataset by translating, geolocating to the county or province (NUTS3) level, and consistently harm

AlphaML : A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data

Leveraging the potential of machine learning and recognizing the broad applications of binary classification, it becomes essential to develop platforms that are not only powerful but also transparent, interpretable, and user friendly. We introduce alphaML, a user-friendly platform that provides clear, legible, explainable, transparent, and elucidative (CLETE) binary classification models with comp

CMES Seminar: Eco-Syria: Exploring Conflict-Environment Interactions for Sustainable Development and Conservation.

4 juni 2026 13:15 till 14:30 | Seminarium Presentation by Pinar Dinc, Lina Eklund, Maria Andrea Nardi, Mo Hamza, Hakim Abdi, CMES and Lund University. Over a decade has passed since the onset of the Syrian conflict, which continues to have dire humanitarian consequences in the region. Syria, with a population of approximately 17 million, ranks among low-income countries, with a gross national inco

https://www.lu.se/evenemang/cmes-seminar-eco-syria-exploring-conflict-environment-interactions-sustainable-development-and - 2026-05-02

Design and Implementation of an Embedded Vision System for Industrial Robots

Enhanced vision system attached to any industrial robot undoubtedly increases its accuracy and precision. Today, vision in industrial robots is facilitated almost exclusively via external or fixed cameras which may cause rather inconvenience due to obstacles in the line of sight. In this master thesis project, an Embedded Vision System is designed and developed to stream live video of a robot'