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Shared space : Motorists’ perspective
Background: Shared spaces are intended to constitute an attractive urban space for everyone by blending protected and unprotected road users. However, our previous study showed that pedestrians prefer the traditional division between protected and unprotected road users, at the same time as elderly pedestrians focused less on traffic when the division was recreated by large flowerpots. Objective:
The concurrent validity of the Lund University Checklist for Incipient Exhaustion and the Karolinska Exhaustion Disorder Scale: a replication study
Marine sediments are identified as an environmental reservoir for Escherichia coli : Comparing signature-based and novel amplicon sequencing approaches for microbial source tracking
Nordic survey showed wide variation in discharge practices for very preterm infants
Rethinking the Public Fetus : Historical Perspectives on the Visual Culture of Pregnancy
Exploring a wide variety of visualizations of pregnancy and fetuses through 300 years of history, this timely volume offers a fresh look at the influential feminist concept of the "public fetus."Images of pregnant and fetal bodies are today visible everywhere. Through ultrasound screenings at maternity clinics, birth videos on social media platforms, or antiabortion propaganda, visualizations of p
Design and rationale of the myocardial infarction and new treatment with metformin study (MIMET) - Study protocol for a registry-based randomised clinical trial
Aims: To investigate if addition of metformin to standard care (life-style advice) reduces the occurrence of cardiovascular events and death after myocardial infarction (MI) in patients with newly detected prediabetes. Methods: The Myocardial Infarction and new treatment with Metformin study (MIMET) is a large multicentre registry-based randomised clinical trial (R-RCT) within the SWEDEHEART regis
Building organizational adaptive capacity in the face of crisis : Lessons from a public sector case study
While organizations providing critical services to society must have the ability to anticipate and prepare for foreseeable threats, they also need to develop a capacity to adapt in the face of unforeseen challenges and crises. While adaptive capacity becomes manifested in a specific situation through the concrete adaptations carried out by an organization, the preconditions to adapt exist already
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
At the emergency department (ED), it is important to quickly and accurately determine which patients are likely to have a major adverse cardiac event (MACE). Machine learning (ML) models can be used to aid physicians in detecting MACE, and improving the performance of such models is an active area of research. In this study, we sought to determine if ML models can be improved by including a prior
Molecular basis of the reaction mechanism of the methyltransferase HENMT1
PIWI-interacting RNAs (piRNAs) are important for ensuring the integrity of the germline. 3'-terminal 2'-O-methylation is essential for piRNA maturation and to protect them from degradation. HENMT1 (HEN Methyltransferase 1) carries out the 2'-O-methylation, which is of key importance for piRNA stability and functionality. However, neither the structure nor the catalytic mechanism of mammalian HENMT
Genetic predictors of lifelong medication-use patterns in cardiometabolic diseases
Little is known about the genetic determinants of medication use in preventing cardiometabolic diseases. Using the Finnish nationwide drug purchase registry with follow-up since 1995, we performed genome-wide association analyses of longitudinal patterns of medication use in hyperlipidemia, hypertension and type 2 diabetes in up to 193,933 individuals (55% women) in the FinnGen study. In meta-anal
Understanding Self-Determined Motivation to contribute to wildlife health surveillance
Genes with epigenetic alterations in human pancreatic islets impact mitochondrial function, insulin secretion, and type 2 diabetes
Epigenetic dysregulation may influence disease progression. Here we explore whether epigenetic alterations in human pancreatic islets impact insulin secretion and type 2 diabetes (T2D). In islets, 5,584 DNA methylation sites exhibit alterations in T2D cases versus controls and are associated with HbA1c in individuals not diagnosed with T2D. T2D-associated methylation changes are found in enhancers
Herbivore-shrub interactions influence ecosystem respiration and biogenic volatile organic compound composition in the subarctic
Arctic ecosystems are warming nearly 4 times faster than the global average, which is resulting in plant community shifts and subsequent changes in biogeochemical processes such as gaseous fluxes. Additionally, herbivores shape plant communities and thereby may alter the magnitude and composition of ecosystem respiration and biogenic volatile organic compound (BVOC) emissions. Here we determine th
Lessons learned about openness : EndNote course as an open learning resource
Background: In a workshop about working with the Canvas learning platform, three librarians at Lund University started a project to create a resource for the reference management program EndNote. We started in January 2020 and launched our Canvas course with EndNote X9 in August 2020. In 2021, the entire course was updated to adapt to EndNote 20 and we also added an English version due to request.
Is kidney biopsy necessary in children with idiopathic nephrotic syndrome?
Analyzing Factors Contributing to Real-time Train Arrival Delays using Seemingly Unrelated Regression Models
Understanding the impact of various factors on train arrival delays is a prerequisite for effectiverailway traffic operating control and management. Existing studies analyze the train delayfactors using a single, generic regression equation, restricting their capability in accounting forheterogeneous impacts of spatiotemporal factors on arrival delays as the train travels along itsroute. The paper
Real-time High-Speed Train Delay Prediction using Seemingly Unrelated Regression Models
Understanding the impact of various factors on train arrival delays is a prerequisite for effective railway traffic operating control andmanagement. Existing studies model the train delay prediction problems using a single, generic equation, restricting their capabilityin accounting for heterogeneous impacts of spatiotemporal factors on arrival delays as the train travels along its route. The pape