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https://www.ht.lu.se/serie/5047237/ - 2026-07-23

https://www.ht.lu.se/en/series/2344302/ - 2026-07-24

https://www.ht.lu.se/en/series/9273211/ - 2026-07-24

https://www.ht.lu.se/en/series/9760605/ - 2026-07-24

Operation med konstgjorda ledproteser i höft och knä ger generellt mycket lyckade resultat. Fortfarande förekommer dock lossning och slitage av komponenterna som ett problem, och alla patienter blir inte fullt nöjda. I ett flertal forskningsprojekt studerar vi faktorer av betydelse för fixation och funktion av proteskomponenterna. Vi utvärderar hur man optimerar de biomekaniska ledförhållandena viTotal joint replacements, both in the hip and knee, are generally very successful operations. Still, however, component loosening as well as wear remains a problem, and all patients are not fully satisfied with their new joint. In a number of ongoing investigations, we are studying different factors involved in the fixation and function of the prosthesis components. We are exploring how to optimiz

Injectable Bioresorbable Organic Bioelectronics Neuropharmacology—our ambition is to supplement classical biochemical signaling with the modulation of bioelectricity using both ionic and electronic processes. We focus on organic electronics that self-assemble directly inside or near the nervous system to form electronic circuits that mimic its structure and organization, enabling seamless integrat

https://www.ses.lu.se/att-forebygga-verksamhetsavfall-och-upplasningar/about-project - 2026-07-23

Den största delen av Lunds universitets verksamhet ligger i Lund, men universitetet bedriver också forskning och utbildning i Malmö, Helsingborg och Ljungbyhed. CampusutvecklingLäs mer om hur vi arbetar med campusutveckling för nuvarande och presumtiva studenter och medarbetare:CampusutvecklingLundMerparten av Lunds universitets verksamhet finns i Lund, en stad med 130 000 invånare.Lund är en av S

https://www.lu.se/om-universitetet/universitetet-i-korthet/har-finns-vi - 2026-07-24

Avdelningen ansvarar för läkarprogrammets kursadministration.This division provides the course administration for the Medical Programme.

The widespread adoption of lithium-ion batteries (LIBs) across energy storage systems, electric vehicles, and consumer electronics is accelerating, yet the safety challenges associated with thermal runaway (TR) events remain incompletely understood. This report presents a structured review of current knowledge regarding flammable and toxic gas emissions from LIBs during TR, the consequences for fi

Hydrogen holds a great promise as an efficient and clean future energy carrier due to its high energy density and lack of pollutant generation. Anaerobic degradation of organic substrates by heterotrophic microorganisms enables the production of hydrogen from a wide spectrum of agricultural feedstock and waste products. Using thermophiles in this process is preferable for maximizing the substrate

Based on energy conservation, an optical theorem is constructed for a slab having an arbitrary periodic microstructure in a plane. A sum rule for low pass structures is derived using analytic properties of Herglotz functions based on causality and passivity. The sum rule relates the total cross section to the static polarizability per unit cell, and quantifies the interaction between the slab and

Using a range of different methods including extensive reviews, workshops and an electronic conference, 70 key research recommendations and 12 priority research needs to integrate the ecosystem services approach into biodiversity conservation policy and funding were identified by a cross-disciplinary group of over 100 scientists and 50 stakeholders, including research funders and policy-makers. Th

Vi är Avdelningen för Datorseende och Maskininlärning (Math-CVML) vid Matematikcentrum, Lunds Tekniska Högskola. Vi bedriver forskning och undervisning i datorseende och maskininlärning i flera olika former. Huvudsyftet med vår forskning är att bidra till den snabba utvecklingen inom detta fält. Vi strävar efter att utveckla matematiska metoder för att hantera olika utmaningar med ett brett användWe are the Division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. Our focus involves both research and teaching in diverse aspects of Computer Vision and Machine Learning. Our research aim to actively contribute to the rapid advancements in these fields. We strive to develop mathematical methodologies to address various challenges within this domain. Our work has