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Insulin Pump Therapy and Adverse Skin Reactions With Focus on Allergic Contact Dermatitis in Individuals Living With Diabetes Mellitus : A Systematic Review and Clinical-Based Update

Background: The use of insulin pumps (continuous subcutaneous insulin infusion [CSII]) in individuals living with type 1 diabetes (T1D) improves disease control. However, adverse skin reactions may hamper compliance. We aimed to assess the relationship of insulin pumps, particularly that of infusion set therapy, used in children and adults with T1D and dermatitis including allergic contact dermati

Model of Health-Related Quality of Life in Breast Cancer Patients Using Cross-Sectional Data: The Role of Resilience

Purpose: Resilience has been suggested as an important predictor of both physical and mental health-related quality of life in breastcancer patients. However, it is unclear why resilient women handle their diagnosis better, not only mentally, but also physically. Theaim of this study was to investigate paths between resilience, physical activity, and mental, physical, and global health-related qua

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:

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

Human Genetic Variation at rs10071329 Correlates with Adiposity-related Traits, Modulates PPARGC1B Expression, and Alters Brown Adipocyte Function

Human genetic variation in PPARGC1B has been associated with adiposity, but the genetic variants that affect PPARGC1B expression have not been experimentally determined. Here, guided by previous observational data, we used CRISPR/Cas9 to scarlessly edit the alleles of the candidate causal genetic variant rs10071329 in a human brown adipocyte cell line (hBAs). Switching the rs10071329 genotype from

Experiences of participating in a group-based sensory modulation intervention for mental health service users

BACKGROUND: People with mental health issues often experience difficulties with sensory modulation affecting occupational engagement. Research conducted in inpatient units has shown positive effects of individual sensory modulation interventions, however, research on experiences of group-based interventions in outpatient units is limited. Hence, a group-based sensory modulation intervention was ad

Gender Smart Mobility : Concepts, Methods, and Practices

This book presents gender and diversity in smart transport as a cutting-edge issue in urban contexts around the globe. It addresses new challenges and possibilities related to the smart transport sector. It demonstrates how gender and diversity are entangled in concepts and various forms of current smart mobility practices in policy, planning, and innovation. Gender Smart Mobility is presented as

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.

Executive Summary : Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus

BACKGROUND Numerous laboratory tests are used in the diagnosis and management of patients with diabetes mellitus. The quality of the scientific evidence supporting the use of these assays varies substantially. An expert committee compiled evidence-based recommendations for laboratory analysis in patients with diabetes. The overall quality of the evidence and the strength of the recommendations wer

Relationships Between Charlson Comorbidity Index Associated Biomarkers and Outcomes Among Participants in the Malmö Diet and Cancer Study

Introduction: The aim was to evaluate two biomarker scores trained to identify comorbidity burden in the prediction of specified chronic morbidities, and mortality in the general population. Methods: Cardiovascular biomarkers were measured in the cardiovascular cohort of the Malmö Diet and Cancer Study. A score of 19 biomarkers associated with Charlson Comorbidity Index (CCI) was created (BSMDC).

Effect of Extruded Mortar Joints on Mould Growth in Timber Frame Wall with Brick Veneer : Probabilistic and Machine Learning Modelling

Extruded mortar joints, resulting from suboptimal workmanship in bricklaying, bridge air gaps within cavity external walls. This phenomenon establishes a connection between brick masonry claddings and adjacent layers (such as insulation or weather-resistive barriers), inadvertently intensifying water penetration due to wind-driven rain (WDR) loads. This study utilises a probabilistic analysis in c