Filetype
CTR på bokmässan! CTR på bokmässan! Publicerad den 24 september 2012 Anne-Christine Hornborg, professor i religionshistoria, kunde du träffa på årets Bokmässa i Göteborg. Lunds universitet deltog i årets Bokmässa i Göteborg. CTR:s Anne-Christine talade om ”Coaching – en modern väckelse?” Läs mer om Lunds universitet på bokmässan Läs mer om A
https://www.ctr.lu.se/article/ctr-paa-bokmaessan/ - 2026-06-27
I detta avsnitt går vi igenom formulärfunktionens olika delar:Lägg till formulär på kurstillfälle och styr synlighetSkapa och hitta QR-koder / prefillsView summary / download summary (kursvärdering) Skapa ett formulärVälj Forms i vänstermenyn.Välj "Create new form". I rutan som dyker upp, ange ett namn på ditt formulär.Om du arbetar med flera kurser, välj aktuell kurs vid fältet "Available for...
https://www.qps.education.lu.se/guider-medarbetare/formular/formular - 2026-06-27
International Day of Persons with Disabilities - The Raoul Wallenberg Institute of Human Rights and Humanitarian Law Skip to content Search for: Search Button Home About Us Who We Are Our History About Raoul Wallenberg Our Theory of Change Staff Opportunities Annual Reports Whistleblower Our work What we do Multi-Disciplinary Research Higher Education Strategic Advice and Analysis Outreach Evaluat
https://rwi.lu.se/blog/international-day-of-persons-with-disabilities/ - 2026-06-27
Årets hedersdoktorer föreläser Årets hedersdoktorer föreläser Publicerad den 4 maj 2012 Teologiska fakultetens hedersdoktorer föreläser på CTR torsdagen den 24 maj. Läs mer... Teologiska fakultetens hedersdoktorer för 2012, Raymond Cohen och Monica Hedlund, föreläser på CTR (sal 118) den 24 maj. Kl. 09.15: Professor Raymond Cohen, Jerusalem: "A Time to Talk" kl. 10.30: Professor Monica Hedlund, Up
https://www.ctr.lu.se/article/aarets-hedersdoktorer-foerelaeser/ - 2026-06-27
Senior Lecturer, Deputy Director Contact details Email: torsten [dot] krause [at] LUCSUS [dot] lu [dot] se Phone: +462220345Organisation LUCSUS (Lund University Centre for Sustainability Studies) Service point: 59 WebpageTorsten Krauses profile in Lund University research portalOther affiliations Assistant director LUCSUS (Lund University Centre for Sustainability Studies) Director of studies LUCS
https://www.lucsus.lu.se/torsten-krause - 2026-06-27
Colombia, as many Latin-American countries have designed a series of welfare programs in order to relief poverty, due to the crisis experimented during the 90s. Hence, the present research estimate the impact on earnings of one of the welfare program implemented in Colombia “Empleo en Acción” and see the possible forgone income from participate in the program. Thereby, based on Diff-Diff method th
BACKGROUND: The discovery of low-frequency coding variants affecting the risk of coronary artery disease has facilitated the identification of therapeutic targets. METHODS: Through DNA genotyping, we tested 54,003 coding-sequence variants covering 13,715 human genes in up to 72,868 patients with coronary artery disease and 120,770 controls who did not have coronary artery disease. Through DNA sequ
This opinion piece takes Google's response to the so-called COVID-19 infodemic, as a starting point to argue for the need to consider societal relevance as a complement to other types of relevance. The authors maintain that if information science wants to be a discipline at the forefront of research on relevance, search engines, and their use, then the information science research community needs
ObjectiveComputerized decision‐support tools may improve diagnosis of acute myocardial infarction (AMI) among patients presenting with chest pain at the emergency department (ED). The primary aim was to assess the predictive accuracy of machine learning algorithms based on paired high‐sensitivity cardiac troponin T (hs‐cTnT) concentrations with varying sampling times, age, and sex in order to rule
Cardiovascular disease (CVD) is the leading cause of mortality and morbidity worldwide. While sociodemographic, dietary and lifestyle factors have been well documented in relation to CVD, environmental factors have been less studied. However, considering the ongoing biodiversity, climate, and health crises, it is imperative to better understand the interplay between the environment and health. Thi
AIMS: To investigate whether out-of-hospital cardiac arrest (OHCA) survivors had lower levels of self-reported physical activity compared to a non-cardiac arrest control group with myocardial infarction (MI), and to explore if symptoms of anxiety, depression, kinesiophobia (fear of movement) and fatigue were associated with a low level of physical activity.METHODS: Predefined case-control sub-studAIMS: To investigate whether out-of-hospital cardiac arrest (OHCA) survivors had lower levels of self-reported physical activity compared to a non-cardiac arrest control group with myocardial infarction (MI), and to explore if symptoms of anxiety, depression, kinesiophobia (fear of movement) and fatigue were associated with a low level of physical activity.METHODS: Predefined case-control sub-stud
Objective: To investigate the dynamic changes of soluble fms-like tyrosine kinase−1 (sFlt−1), placental growth factor (PlGF) and their ratio in maternal plasma, from preeclampsia diagnosis to postpartum, evaluating its clinical utility. Methods: Single-center prospective longitudinal cohort study with repeated sample collection in women with established preeclampsia (PE). Seventy-five (n = 75) wom
The spectrum of frontotemporal dementia/amyotrophic lateral sclerosis (FTD/ALS) and Huntington disease (HD) are fatal neurodegenerative disorders with no major disease-modifying therapies. Recent work has shown that the hallmark pathological proteins TAR DNA binding protein of 43 kDa (TDP-43) in FTD/ALS and mutant huntingtin (mHTT) in HD may be interlinked. Furthermore, these disorders share early
When training a deep learning model, the dataset used is of great importance to make sure that the model learns relevant features of the data and that it will be able to generalize to new data. However, it is typically difficult to produce a dataset without some bias toward any specific feature. Deep learning models used in histopathology have a tendency to overfit to the stain appearance of the t
