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The project developed a structured workflow for 3D scanning and documentation of artworks. This workflow covers every step from initial image capture to the final 3D model, ensuring consistency and quality in how artworks are digitized. It was presented to students as part of a course, giving them hands-on experience with 3D scanning equipment and photogrammetry software. Through practical exercis
A search for the lepton-flavor violating decays Bs0→φμ±τ is presented, using a sample of proton-proton collisions at center-of-mass energies of 7, 8, and 13 TeV, collected with the LHCb detector and corresponding to a total integrated luminosity of 9 fb-1. The τ leptons are selected using decays with three charged pions. No significant excess is observed, and an upper limit on the branching fracti
Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro
Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level. This class of algorithms is widely applied in robotics with movement primitives or non-differentiable policies. Furthermore, these approaches are particularly relevant where exploration at the action level could cause actuator damage or other safety issues. H
High-risk neuroblastoma (NB) is a rare, solid childhood cancer with poor prognosis due to treatment resistance and metastasis. Improved patient outcome is dependent on the understanding of the resistance mechanisms and subsequent development of novel treatment options.In Paper I, we established a clinically relevant in vivo treatment protocol using current standard-of-care chemotherapy (COJEC). We
Artificial intelligence (AI) and machine learning (ML) are rapidly permeating nearly every aspect of modern life, frompersonal devices and autonomous systems to industrial automation and environmental monitoring. The growing demandfor intelligence at the network edge is reshaping how computing hardware is conceived and built. Edge AI platforms areexpected to deliver high throughput within tight en
The random k-SAT model is one of the most important and well-studied distributions over k-SAT instances. It is closely connected to statistical physics and is a benchmark for satisfiability algorithms. We show that when k=Θ(log n) , any Cutting Planes refutation for random k-SAT requires exponential length in the regime where the number of clauses guarantees that the formula is unsatisfiable with
Federated Learning (FL) enables decentralized training of neural networks across multiple hospitals or patients while preserving data privacy. However, FL schemes typically assume data is independent and identically distributed (IID) while healthcare data can be highly heterogeneous. To address this, we propose Interpretable Personalized Federated Learning (IPFL), a novel framework that allows pat
Enzymes serve as biological catalysts in a wide range of applications, from household products to industrial processes, research, diagnostics and forensic science. They accelerate reactions with high specificity under mild reaction conditions and are essential for life. Advances in recombinant DNA technology have enabled the use of microorganisms as efficient cell factories for production of heter
This chapter explores the evolution and effectiveness of Sweden's climate policy mix for decarbonizing the transport sector—a major contributor to national greenhouse gas (GHG) emissions. Despite early leadership in climate policy, Sweden faces challenges in aligning policy implementation with ambitious goals, such as a 70 % reduction in transport emissions by 2030. The chapter shows that Sweden's
Årligen upptäcks nya kärlväxter i Sverige. Det kan vara arter som etablerar sig i Sverige i klimatförändringarnas spår, som följer med internationella transporter, och inte minst trädgårdsrymlingar. Det finns flera skäl till att dokumentera dessa, inte minst för att förebygga spridning av invasiva arter. Biologiska museet i Lund tar emot belägg och listar här de arter som var nya för Sverige 2024.
The aim of the research is to identify ways to build an object detector (OD) that can ultimately provide a given level of accuracy while operating autonomously in real-time on devices with limited resources. Currently, there is a wide variety of ODs; therefore, this work focuses on selecting an appropriate method and algorithm for OD by developing a prototype using a PC and the MATLAB simulation p
This invention relates to methods for purification of paclitaxel from a paclitaxel-containing material. The method comprises the following steps: (a) extracting a paclitaxel-containing material with an organic solvent to obtain an extract, and concentrating the extract; (b) adding the concentrate with an organic solvent which is not mixed with water to separate an organic solvent phase and then co
Stormwater generated during heavy rainfall needs to be managed to prevent flooding and water pollution. In Sweden, drinking water is also used for non-food purposes like irrigation and toilet flushing. To address this, reusing stormwater for non-food purposes through rainwater harvesting can be a solution, which involves collecting and storing rainwater for later use from sources like rooftops, da
