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We propose a novel hybrid approach that integrates Neural Ordinary Differential Equations (NODEs) with Bayesian optimization to address the dynamics and parameter estimation of a modified time-delay-type Susceptible-Infected-Removed (SIR) model incorporating immune memory. This approach leverages a neural network to produce continuous multi-wave infection profiles by learning from both data and th
Social insurance administrative officers’ decision-making skills influence their efficiency at work and their general well-being. At work their tasks are characterised by complexity and a need for order and accountability. Moreover, cases should usually be handled and finalised within the imposed time frames. We investigated skills related to decision-making success among social insurance officers
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
Background and objective To study the cumulative incidence and surgical treatment of midline incisional hernia (MIH) after cystectomy for bladder cancer. Methods In the nationwide Bladder Cancer Data Base Sweden (BladderBaSe), cystectomy was performed in 5646 individuals. Cumulative incidence MIH and surgery for MIH were investigated in relation to age, gender, comorbidity, previous laparotomy and
Precipitation extremes and their underlying causes are important processes to understand to plan appropriate adaptation measures. This paper presents an analysis of the spatiotemporal variability and trend of precipitation extremes in the important source region of the Yellow River and explores the connection to global teleconnection patterns and the 850-mb vector wind. Six indices for precipitati
In the media and communications field, research investigating the digital media engagements of very young children at home has largely been restricted to survey methods relying on parental self-reports. Recognizing that qualitative approaches can provide insights in families’ practices, values, and attitudes, we argue for the fruitfulness of an ethnographic perspective, drawing on three cases from
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
Video data and the tools for automated analysis have a great potential to be used in road traffic research, particularly road safety. In this project a video dataset is built and made public so that researchers can evaluate their algorithms on it. The dataset focuses on the traffic research applications (data from real research projects) and provides recordings of the traffic scenes, meta-data, ca
High resolution radio based positioning and tracking is a key enabler for new or improved cellular services. In this work, we are aiming to track user movements with accuracy down to centimeters using standard cellular bandwidths of 20-40 MHz. The goal is achieved by using phase information from the multi-path components (MPCs) of the radio channels. First, an extended Kalman filter (EKF) is used
In this paper, we describe a passage retrieval component for a questioning answering system and we evaluate its performance on Swedish documents. We used a corpus of questions and answers transcribed from the Swedish board game Kvitt eller dubbelt and, as source for the passages, we used the articles of the Swedish version of Wikipedia. We show that Wikipedia is a suitable knowledge source to answ
Semantic role labeling has become a key module of many language processing applications. To build an unrestricted semantic role labeler, the first step is to develop a comprehensive proposition bank. However, building such a bank is a costly enterprise, which has only been achieved for a handful of languages. In this paper, we describe a technique to build proposition banks for new languages using
Task-level industrial robot programming is a mundane, error-prone activity requiring expertise and skill. Since humans easily communicate with natural language (NL), it may be attractive to use speech or text as instruction means for robots. However, there has to be a substantial amount of knowledge in the system to translate the high-level language instructions to executable robot programs. In th
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
Although spatial resolution in fluorescence microscopy and related fields has advanced to the nanometer scale, time resolution has remained essentially unchanged and is set by the camera system’s imaging time. Yet adequate time resolution is crucial for information acquisition about, for instance, dynamical processes in cells. This acquisition typically proceeds by analyzing biomolecular trajector
PowerPoint-presentation Institutionen för kulturgeografi och ekonomisk geografi augusti 2016 Hej och välkommen! Ca 350 studenter varje termin, internationella och svenska. Ganska liten institution. Ca 60 anställda (doktorander, forskare, professorer, administratörer, etc.). Studenter är alltid välkomna att ta kontakt med alla som arbetar här. Hos oss finns också den Humanekologiska avdelningen och
https://www.keg.lu.se/sites/keg.lu.se/files/introduktion_ht15_uppdaterad20160817.pptx - 2026-07-23
Objectives: Sjögren's disease (SjD) and systemic lupus erythematosus (SLE) share genetic risk at the DDX6-CXCR5 locus (11q23.3). Identifying and functionally characterising shared SNPs spanning this locus can provide new insights into common genetic mechanisms of autoimmunity. Methods: Transdisease meta-analyses, fine-mapping, and bioinformatic analyses prioritised shared likely functional single
BackgroundLongitudinal data on weight change, its timing, and the age of obesity onset in relation to cause-specific mortality are limited.MethodsFrom ODDS, a nationwide pooled cohort study in Sweden, we included 258,269 men and 361,784 women with at least three weight assessments between ages 17 and 60, collected in 1963–2015. We applied linear mixed-effects models to estimate weight trajectories
