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LU-gemensamt Mejlutskick Nr 20-v22-2021

NYTT FRÅN LUNDS UNIVERSITET Mejlutskick på svenska och engelska som vänder sig till fakultetskommunikatörer vid Lunds universitet för vidarespridning i fakultets- och institutionskanaler – Nr 20 v 22 - 2021. UNIVERSITETSGEMENSAMT Lönerevisionen drar ut på tiden Förhandlingarna med anledning av lönerevisionen pågår fortfarande. Tyvärr kan det konstateras att det nu har dragit ut så långt i tiden at

https://www.cec.lu.se/sites/cec.lu.se/files/2021-06/LU-gemensamt%20Mejlutskick%20Nr%2020-v22-2021.pdf - 2026-06-12

Call for nanolund projects for 2021

Call for NanoLund projects for 2021[1] Postal address Box 118, 221 00 Lund, (internal HS14) Visiting address Professorsgatan 1, Lund Telephone +46 222 33 88, +46 46 222 00 00 (switch board) E-mail info@nano.lu.se Website https://www.nano.lu.se Call for NanoLund project proposals for funding start in 2021 Faculty members and affiliated faculty members of NanoLund are invited to propose projects for

https://www.nano.lu.se/sites/nano.lu.se/files/call_for_nanolund_projects_for_2021.pdf - 2026-06-12

Effekt på detaljhandel vid införande av bilfria gator i Lund - Kunders resvanor och konsumtionsbeteende

Car prevalence in society has a negative effect on both local and global environments. One way to tackle these problems is to restrict car traffic in city centres, this comes not only with effects on the environment. How car free zones can affect retail in cities is examined in this study. The study takes place in ten retail shops in the city centre of Lund along three streets. Customers are aske

Adding information on multisite and widespread pain to the STarT back screening tool when identifying low back pain patients at risk of worse prognosis

Objectives ‒ The STarT Back screening Tool (SBT) captures patients with low back pain (LBP) at risk of worse prognosis. However, the SBT does not include assessment of multisite and chronic widespread pain (MS-CWP). The aim was to study the differences in prognostic factors in patients with LBP classified according to SBT or SBT in combination with MS-CWP, and the 1-year outcome regarding visits t

Statement-expert-group HUGE final

Progamme evaluation of PhD education in Service Studies: Statement from external expert group Page 1 of 23 STATEMENT FROM EXTERNAL EXPERT GROUP Reg. No. STYR 2023/22 2023-11-03 Evaluation report for the Department of Human Geography: bachelor and master studies in Human Geography and Urban planning Assignment and composition of the external expert group The expert group consists of two (originally

https://www.sam.lu.se/internt/sites/sam.lu.se.internt/files/2024-05/Statement-expert-group_HUGE_final.pdf - 2026-06-12

CEPI in English

Centre for Evidence-based Psychosocial Interventions, CEPI Centre for Evidence-based Psychosocial Interventions, CEPI, Our research is interdisciplinary and focuses on subjects such as living conditions, support and care initiatives as well as policy and implementation. Through our research, we want to contribute to effective health care and support for persons who experience mental health problem

https://www.cepi.lu.se/cepi-english - 2026-06-11

Evolutionary plant–pollinator responses to anthropogenic land-use change : impacts on ecosystem services

Agricultural intensification at field and landscape scales, including increased use of agrochemicals and loss of semi-natural habitats, is a major driver of insect declines and other community changes. Efforts to understand and mitigate these effects have traditionally focused on ecological responses. At the same time, adaptations to pesticide use and habitat fragmentation in both insects and flow

Robin Kahn

WCMM Clinical Researcher | Pediatric Rheumatology Our research Can children get rheumatic joint disease? Is it a life-long disease? Does my child really need all these drugs?! These are the questions we hear every week when meeting families to children with newly diagnosed inflammatory joint disease. To get a chronic disease will have a major impact on your day-to-day life and suddenly you are dif

https://www.wcmm.lu.se/robin-kahn - 2026-06-11

The Student Council

for Physical Geographers and Geologists (SNG) The Student Council for Physical Geographers and Geologists (SNG) is an organization run entirely by students at INES (Physical Geography department) and the Geology Department. It represents students in the decision-making boards of the two departments and at the Faculty of Science (LUNA). Join SNG SNG provides students an opportunity to give feedback

https://www.nateko.lu.se/student/student-council - 2026-06-11

Gentrifying Practices Affecting Youths’ Habitats

While Sweden falls short in integrating youths growing up in segregated areas, these disadvantaged neighborhoods are more frequently imposed to profit-driven strategies that result in gentrification. This thesis aims to uncover how gentrification affects the lived experience that youths from disadvantaged areas have of their habitat. Choosing the case of Järva, Stockholm, the ways youths perceive

Doctoral student courses

Faculty-wide doctoral student courses Courses and graduate schools at the faculties, open to all doctoral students at the Department of Physics:The Faculty of Engineering, LTH websiteThe Faculty of Science website  Doctoral student courses given by graduate schools Agenda 2030 (external website)ClimBEco (external website)Compute (external website)Helios (external website)XANADU (course page) Cours

https://www.fysik.lu.se/en/education/doctoral-studies/doctoral-student-courses - 2026-06-11

Ester Barinaga

Professor Kontaktinformation E-post: ester [dot] barinaga [at] fek [dot] lu [dot] seOrganisation Entreprenörskap Rumsnummer: Alfa 1, vån 1, rum 1065 Hämtställe: 10 WebbplatsEster Barinagas profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i tidskriftBokBokrecensionDel av eller Kapitel i bokDoktorsavha

https://www.ehl.lu.se/ester-barinaga - 2026-06-11

Standardised and automated assessment of head computed tomography reliably predicts poor functional outcome after cardiac arrest : a prospective multicentre study

Purpose: Application of standardised and automated assessments of head computed tomography (CT) for neuroprognostication after out-of-hospital cardiac arrest. Methods: Prospective, international, multicentre, observational study within the Targeted Hypothermia versus Targeted Normothermia after out-of-hospital cardiac arrest (TTM2) trial. Routine CTs from adult unconscious patients obtained > 48 h

Training Bayesian Neural Networks

Although deep learning has made advances in a plethora of fields, ranging from financial analysis to image classification, it has some shortcomings for cases of limited data and complex models. In these cases the networks tend to be overconfident in their prediction even when erroneous - something that exposes its applications to risk. One way to incorporate an uncertainty measure is to let the neGenom att använda maskininlärning går det att lösa problem som vi tidigare trodde var olösbara. Saker som ansiktsigenkänning, chatbottar och maskiner som lär sig gå självmant känns idag helt triviala men var en enorm utmaning bara några decennier sedan. Maskinlärning används i alla hörn av vårt samhälle, från medicin och finans till bilindustrin och telekommunikation. Gemensamt för alla dessa sekt

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The paper addresses the question of whether there is a correlation between the grammatical developmental level and the lexical developmental level in the written production of learners of French as a foreign language. We have applied a number of quantitative and lexical measures and one grammatical measure to 40 texts in French written by two groups Swedish adults with different proficiency levels

Evolution of a risk indexing method for evaluating safety in Swedish railway tunnels

A risk indexing method for evaluating safety in railway tunnels has been developed. Firstly, ahierarchical structure with one objective, three sub-objectives, four strategies and ten attributes weredefined. Secondly, attributes were elaborated and developed by means of assessable parametersrelated to tunnel safety. Thirdly, the relative importance of the attributes was analysed and assessed bymean

Dual energy CT and deep learning for an automated volumetric segmentation of the major intracranial tissues : Feasibility and initial findings

Background: Magnetic resonance imaging (MRI) has traditionally been preferred over computed tomography (CT) for segmentation of intracranial structures due to its superior low contrast resolution. However, a reliable CT-based segmentation could improve patient management when MRI is not practical. Despite advancements in CT imaging, such as enhanced tissue differentiation using virtual monoenerget