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Doktorand Kontaktinformation E-post: sofya [dot] ignatenko [at] fek [dot] lu [dot] seOrganisation Redovisning och finans Hämtställe: 10 WebbplatsSofya Ignatenkos profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaAnnan Filtrera Integrated framing of finance and sustainability in corporate reporting Sofya Ignat
https://www.ehl.lu.se/sofya-ignatenko - 2026-07-09
Utöver grundläggande behörighet har vissa kurser en särskild behörighet. Det kan innebära att du måste ha avklarat kurser inom ett visst område eller från ett visst program. Det kan också innebära krav på arbetsprov och/eller antagningsprov.Här hittar du information om instruktioner för arbetsprov, antagningsprov och särskild behörighet för de fristående kurser där det är aktuellt.Kom ihåg att du
https://www.mhm.lu.se/fristaende-kurser-med-arbetsprov-och-antagningsprov - 2026-07-09
COVID-19: Health or Privacy. Do We Have to Choose? - 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 Eva
https://rwi.lu.se/blog/covid-19-health-or-privacy-do-we-have-to-choose/ - 2026-07-10
BACHELOR’S DISSERTATION AT STRUCTURAL MECHANICS DEPARTMENT OF CONSTRUCTION SCIENCES | FACULTY OF ENGINEERING | LUND UNIVERSITY DIVISION OF STRUCTURAL MECHANICS Lund University, Faculty of Engineering (LTH), Box 118, SE-221 00 Lund, Sweden • Tel: + 46 (0)46-222 73 70 • Fax: + 46 (0)46-222 44 20 • www.byggmek.lth.se kp0001 (2014-10) DAVID KINSELLA PRESENTATION October 2014 SUPERVISOR JONAS LINDEMANN
https://www.byggmek.lth.se/fileadmin/byggnadsmekanik/education/bachelorprojects/kp0001.pdf - 2026-07-10
: Based on the recent progress on research and development on automated vehicles, mass production of partially autonomous driving vehicles is expected to be available in the 2020s. According to the SAE standard level 3, a takeover situation may occur where the vehicle driving party changes if autonomous driving is released for unavoidable reasons resulting from vehicle or system limitations. In th
Denna avhandling utvecklar och utvärderar språkbaserade bedömningar som använder artificiell intelligens (AI) för att omvandla öppet språk till kvantitativa indikatorer och beskrivningar av psykiska hälsorelaterade konstruktioner. Medan slutna skalor länge har dominerat psykologiska bedömningar, är de begränsade av fasta svarsformat och kanske inte helt fångar komplexiteten i individers upplevelseThis thesis develops and evaluates language-based assessments that use artificial intelligence (AI) to transform open-ended language into quantitative indicators and descriptions of mental health related constructs. While closed-ended scales have long dominated psychological assessment, they are limited by fixed response formats and may not fully capture the complexity of individuals’ experiences.
Since 2011, LUNARC has aimed to provide an interactive HPC environment for its resource users. Several different architectures have been used, but since 2013, we have been using a remote desktop environment based on Cendio's ThinLinc [1] combined with a custom backend framework, GfxLauncher [2], supporting hardware-accelerated graphics applications and Jupyter Notebooks [3] submitted to the backen
Introduction Emerging research indicates that integrated treatment of co-occurring post-traumatic stress disorder (PTSD) and substance use disorder can be effective among adolescents and young people. However, various barriers exist to young people accessing evidence-based treatments. Telehealth offers an opportunity to address these barriers and provide a scalable and accessible alternative to in
The use of large language models (LLMs) is being explored for a multitude of tasks in software engineering (SE), ranging from code generation to bug report assignment. Although LLMs provide impressive results, they require more time and energy than some other machine learning models. For some tasks, simpler models may be more sustainable than LLMs. In this paper, we construct natural language clas
Particle physics experiments rely extensively on computing and data services, making e-infrastructure an integral part of the research collaboration. Constructing and operating distributed computing can however be challenging for a smaller-scale collaboration.The Light Dark Matter eXperiment (LDMX) is a planned small-scale accelerator-based experiment to search for dark matter in the sub-GeV mass
BACKGROUND: Before this study started, the standard postoperative chemotherapy regimen for stage II-III Wilms' tumour pretreated with chemotherapy was to include doxorubicin. However, avoidance of doxorubicin-related cardiotoxicity effects is important to improve long-term outcomes for childhood cancers that have excellent prognosis. We aimed to assess whether doxorubicin can be omitted safely fro
A circular concept involving use of faba bean hulls for production of oyster mushrooms (Pleurotus ostreatus (Jacq.) P. Kumm.) and the post-harvest residues for feed purposes was evaluated. Faba bean hulls are a waste remaining after the beans are dehulled to decrease the content of anti-nutritional factors and increase the food value of the beans. Faba bean hulls proved very suitable as substrate
BACKGROUND: Quality of surgical care as a crucial component of a comprehensive multi-disciplinary management improves outcomes in patients with endometrial carcinoma, notably helping to avoid suboptimal surgical treatment. Quality indicators (QIs) enable healthcare professionals to measure their clinical management with regard to ideal standards of care. OBJECTIVE: In order to complete its set of
Background/Aims: Retinopathy of prematurity (ROP) is currently diagnosed through repeated eye examinations to find the low percentage of infants that fulfil treatment criteria to reduce vision loss. A prediction model for severe ROP requiring treatment that might sensitively and specifically identify infants that develop severe ROP, DIGIROP-Birth, was developed using birth characteristics. DIGIROP
