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Förslag på studieplanering för blivande präster - Start VT2024 Huvudspecialisering inkl kandidatuppsats i Tros-och livs Svenska kyrkans akademiska studiekrav: 2011 års studieordning, CTR 255 hp inkl magisterexamen 2013 års utbildningsordning för blivande präster, Svenska kyrkan 180 hp Teol kand Religionsvetenskap: Grundkurs 30 Specialisering inkl ex arbete - TLV 45 VT24 Specialisering - KMS 15 Spe
Senior lecturer Contact details Email: edith [dot] hammer [at] biol [dot] lu [dot] se Phone: +46 46 222 45 36 Mobile: +46 73 244 19 68Organisation Functional Ecology Visiting address: Kontaktvägen 10, Lund Room number: A224 Service point: 50 WebpageEdith Hammers profile in Lund University research portalOther affiliations Researcher Department of Earth and Environmental Sciences (MGeo) Member of S
https://www.cec.lu.se/edith-hammer - 2026-06-27
Här finner du praktisk information till dig som blivit antagen som student vid Centrum för miljö- och klimatvetenskap. Du finner till exempel det du behöver veta om introduktionsmöte, registrering, schema, kurslitteratur, nyttiga länkar med mera. Välkommen! Glöm inte att tacka ja till din platsÄr du antagen till en utbildning vid Centrum för miljö- och klimatvetenskap (CEC)? Stort grattis! Glöm in
https://www.cec.lu.se/sv/utbildning/student-i-miljovetenskap/ny-som-student - 2026-06-27
This paper introduces two new methods of registering 2D point sets over rigid transformations when the registration error is based on a robust loss function. In contrast to previous work, our methods are guaranteed to compute the optimal transformation, and at the same time, the worst-case running times are bounded by a low-degree polynomial in the number of correspondences. In practical terms, th
Purpose: The application of automated image analyses could improve and facilitate standardization and consistency of quantification in [18F]DCFPyL (PSMA) PET/CT scans. In the current study, we analytically validated aPROMISE, a software as a medical device that segments organs in low-dose CT images with deep learning, and subsequently detects and quantifies potential pathological lesions in PSMA P
This study evaluates the applicability of scaled reassigned spectrograms (ReSTS) on ultrasound radio frequency data obtained with a clinical linear array ultrasound transducer. The ReSTS's ability to resolve axially closely spaced objects in a phantom is compared to the classical cross-correlation method with respect to the ability to resolve closely spaced objects as individual reflectors using u
Background: Radical prostatectomy reduces mortality among patients with localised prostate cancer. Evidence on whether different surgical techniques can affect mortality rates is lacking. Objective: To evaluate functional and oncological outcomes 8 yr after robot-assisted laparoscopic prostatectomy (RALP) and open retropubic radical prostatectomy (RRP). Design, setting, and participants: We enroll
Rank and cardinality penalties are hard to handle in optimization frameworks due to non-convexity and discontinuity. Strong approximations have been a subject of intense study and numerous formulations have been proposed. Most of these can be described as separable, meaning that they apply a penalty to each element (or singular value) based on size, without considering the joint distribution. In t
In persons born with myelomeningocele (MMC) secondaryprevention measures are important to survive and to retainfunction. Swedish guidelines in MMC have been developedand a follow-up programme is linked to a quality of care reg-istry, internet-based since 2012. The rationale for creation ofthis registry were to avoid complications in MMC by provid-ing a medical and health overview, facilitate the c
Cardinality and rank functions are ideal ways of regularizing under-determined linear systems, but optimization of the resulting formulations is made difficult since both these penalties are non-convex and discontinuous. The most common remedy is to instead use the ℓ1- and nuclear norms. While these are convex and can therefore be reliably optimized, they suffer from a shrinking bias that degrades
PURPOSE: Fibromyalgia (FM) is a complex pain condition, and exercise is considered the first option of treatment. Few studies have examined the effect of exercise on molecular mechanisms in FM. The aim of this study was to analyze the plasma proteome in women with FM and healthy controls (CON) before and after 15 wk of resistance exercise. This study further investigated whether clinical and exerc
Named entity linking is the task of identifying mentions of named things in text, such as “Barack Obama” or “New York”, and linking these mentions to unique identifiers. In this paper, we describe Hedwig, an end-to-end named entity linker, which uses a combination of word and character BILSTM models for mention detection, a Wikidata and Wikipedia-derived knowledge base with global information aggr
Well-characterized archival formalin-fixed paraffin-embedded (FFPE) tissues are of much value for prospective biomarker discovery studies, and protocols that offer high throughput and good reproducibility are essential in proteomics. Therefore, we implemented efficient paraffin removal and protein extraction from FFPE tissues followed by an optimized two-enzyme digestion using suspension trapping
Things such as organizations, persons, or locations are ubiquitous in all texts circulating on the internet, particularly in the news, forum posts, and social media. Today, there is more written material than any single person can read through during a typical lifespan. Automatic systems can help us amplify our abilities to find relevant information, where, ideally, a system would learn knowledge
Efficient and robust control strategies can greatly contribute to the reliability of fuel cell systems, and a stable output voltage is a key criterion for evaluating a fuel cell system's reliability as a power source. In this study, a polymer electrolyte fuel cell (PEFC) system model is developed, and its performances under different operating conditions are studied. Then two different novel contr
This paper presents a novel method for 3D human pose and shape estimation from images with sparse views, using joint points and silhouettes, based on a parametric model. Firstly, the parametric model is fitted to the joint points estimated by deep learning-based human pose estimation. Then, we extract the correspondence between the parametric model of pose fitting and silhouettes in 2D and 3D spac
In this paper we discuss AI in industrial robotics. In automatic control, computer vision and optimization, ma- chine learning and data mining algorithms are widely used. However, cognition enabling mechanisms, such as high-level logic and symbolic reasoning, are still limited. This is not due to the lack of available algorithms, rather the bottleneck is knowledge representation, acquisition and t
In this paper, we describe how we use a named entity disambiguation module to merge entities in a question answering system. The question answering system uses a baseline passage retrieval component that extracts paragraphs from the Swedish version of Wikipedia. The passages are indexed and ranked using the Lucene platform. Prior to the indexing, we carried out a recognition and disambiguation of
