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Background Microarray technology has become popular for gene expression profiling, and many analysis tools have been developed for data interpretation. Most of these tools require complete data, but measurement values are often missing A way to overcome the problem of incomplete data is to impute the missing data before analysis. Many imputation methods have been suggested, some naïve and other mo
Letters are the primitives of reading expertise. Single letter recognition relies on a hierarchy of processing stages, in which early visual features gradually evolve into abstract letter representations, but the temporal organization of these stages remains poorly understood. To address it, we applied multivariate pattern analysis (MVPA) to electroencephalography (EEG) data recorded while adult r
PurposeNo consensus exists whether to administer prophylactic antibiotics in conjunction with manual placenta removal. This study aimed to investigate the postpartum risk of a new prescription of antibiotic treatment, a possible indirect variable for infection, after manual placenta removal.MethodsObstetric data were merged with data from the Anti-Infection Tool (Swedish antibiotic registry). All
Phenological models have mainly been developed to capture the seasonal development of individual trees and local populations, using data from meteorological stations. Ecosystem models that incorporate phenology are however commonly driven by gridded climate data. Using two phenological models to simulate budburst of birch in Germany, we assessed how combining phenological point observations with g
Social services are adapting to an increasingly digital environment, with municipalities expectedto engage citizens through digital channels. This study investigates how clients seeking social as-sistance perceive and use digital tools as well as the challenges and opportunities that arise whenimplementing such technologies in line with public service values. The analysis draws on municipaldigitalSocial services are adapting to an increasingly digital environment, with municipalities expected to engage citizens through digital channels. This study investigates how clients seeking social assistance perceive and use digital tools as well as the challenges and opportunities that arise when implementing such technologies in line with public service values. The analysis draws on municipal digit
Multilevel data occur frequently in many research areas like health services research and epidemiology. A suitable way to analyze such data is through the use of multilevel regression models. These models incorporate cluster-specific random effects that allow one to partition the total variation in the outcome into between-cluster variation and between-individual variation. The magnitude of the ef
Research Areas The research area of clinical and epidemiological research in cognition aims to study risk factors of reduced cognitive ability particularly vascular mechanisms. Another aim entails taking care of already reduced cognitive ability. Several clinical and longitudinal studies have involved mechanisms of interrupted autoregulation of cerebral blood flow, correlation between hypertension
https://www.geriatrik.lu.se/geriatrics/our-research - 2026-07-09
This thesis explores the local identity of Pori, a middle-sized city on Finland’s western coast, through visual representations. The research aims to form a solid base to describe the local identity by answering two questions: ‘What are the main elements building the local identity in the city of Pori?’ and ‘How the visual materials can reveal these elements of identity?’ The research material of
Forskargruppen som leds av professor Kristina Sundquist är baserad inom ett dynamiskt forskningsinstitut, CPF (Centrum för Primärvårdsforskning) som grundades på fyra pelare: klinisk, epidemiologisk, samhällsvetenskaplig och experimentell forskning. Den forskning som gruppen utför är både klinisk och epidemiologisk, och dess huvudsakliga fokus är att besvara frågor relevanta för primärvården. ViktThe research group led by Professor Kristina Sundquist is based within a dynamic research institute, the CPF (Center for Primary Health Care Research) that was founded on four pillars: clinical, epidemiologic, social science, and experimental research. The research performed by the group is both clinical and epidemiologic, and its main focus is to answer primary health care-related questions. Key
Water is necessary for all life and one of the most important natural resources. The water resources problems were the reason why the project Development of the Altiplano area in Bolivia: a collaboration between Lund University (Sweden) and San Andres University in La Paz (Bolivia) was started. In the project PhD students are investigating the groundwater aquifer Challapampa that supplies the city
The concrete sector is a major contributor to global greenhouse gas emissions; consumes substantial amounts of natural resources and serves as a significant source of global waste. The Circular Economy approach has been put forward as the solution to these environmental issues, but the overall effectiveness of the approach has been called into question by existing research. The aim of this thesis
Estimation of density dependence from time series data on population abundance is hampered in the presence of observation or measurement errors. Fitting state-space models has been proposed as a solution that reduces the bias in estimates of density dependence caused by ignoring observation errors. While this is often true, I show that, for specific parameter values, there are identifiability issu
Food is one of the areas of consumption with highest environmental impacts. Additionally, the growing global population and changing diets in emerging countries will further exacerbate the impact of food production and consumption. The challenges of an increasingly resource constrained world pose a need to shift from a consumption-based society to a society where humans can manage with less. There
