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BeChange: Sustainability education and leadership development : Assessing the links between inner development and outer change for transformation

This report presents the assessment of a six-week online course offered by BeChange, which was given from April to June in 2022. Through a total of five online sessions, an interactive learning platform, diverse practices and individual coaching, the course aimed to support participants in reducing their CO2 emissions, increase their climate engagement, and at the same time enhance their wellbeing

The Torneträsk System - A basis for predicting future subarctic ecosystems

Arctic and subarctic areas have experienced a rapid warming and substantial increases in precipitation in recent decades. The frequency and intensity of some extreme events, such as fires, winter warming events, extreme rainfall, and droughts, has also increased. These climatic changes and other anthropogenic factors have caused profound changes in arctic and subarctic ecosystems with important im

Aerosol formation and emissions from realistic compartment fires

Firefighters are occupationally exposed to a large number of toxic compounds (IARC 2010). The occupational exposure of firefighters has been classified as potentially carcinogenic (class 2B, IARC; (Straif K. et al. 2007)). Poorly quantified emission factors and low understanding of when various aerosol emissions are likely to form during a fire event (initiation, combustion, extinguishing) inhibit

Plasma and Urine Free Glycosaminoglycans as Monitoring Biomarkers in Nonmetastatic Renal Cell Carcinoma—A Prospective Cohort Study

Background: No liquid biomarkers are approved in renal cell carcinoma (RCC), making early detection of recurrence in surgically treated nonmetastatic (M0) patients dependent on radiological imaging. Urine- and plasma free glycosaminoglycan profiles—or free GAGomes—are promising biomarkers reflective of RCC metabolism. Objective: To explore whether free GAGomes could detect M0 RCC recurrence noninv

Digitally Delivered Exercise and Education Treatment Program for Low Back Pain : Longitudinal Observational Cohort Study

BACKGROUND: Exercise and education is recommended as first-line treatment by evidence-based, international guidelines for low back pain (LBP). Despite consensus regarding the treatment, there is a gap between guidelines and what is offered to patients. Digital LBP treatments are an emerging way of delivering first-line treatment.OBJECTIVE: The aim of this study is to evaluate outcomes after partic

Housing Matters for People with Parkinson´s disease. Accessibility, Meaning, Control and Activities of Daily Living

Parkinson´s disease (PD) is one of the most common neurological diseases with both motor and non-motor symptoms that can be perceived as difficult to control despite medical treatment. This leads to several consequences in everyday life for example difficulties in activities of daily living (ADL), sometimes already at diagnosis. Therefore, rehabilitation is important to manage the consequences of

Building innovation capability in retail : Towards a systematic and sustained approach to innovation in large retail organizations

Innovation has received widespread attention in research and in the business world because it plays a crucial role in organization survival and longevity. This especially rings true in the retail industry, as opportunities and challenges confront retailers due to the ongoing disruption of the industry. As retailers face increasing pressure to make innovation a strategic priority, and as major reta

Plasma Inflammatory Protein Biomarkers May Predict Cardiovascular Events in Early Rheumatoid Arthritis

Background/Purpose: Rheumatoid arthritis (RA) is associated with an increased risk of cardiovascular disease (CVD). Systemic inflammation, driven by cytokines such as TNF, IL-6 and IL-17A, has been implicated as a contributing factor to CVD development in RA. The objective of this study was to investigate the impact of 92 inflammatory proteins on the risk of CVD events in patients with early RA.Me

Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms

Background: Predicting future Alzheimer’s disease (AD)-related cognitive decline among individuals with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) is an important task for healthcare. Structural brain imaging as measured by magnetic resonance imaging (MRI) could potentially contribute when making such predictions. It is unclear if the predictive performance of MRI can be

Deciphering the normal-like molecular subtype of breast cancer

The normal-like molecular subtype of breast cancer has not been well characterized and is currently not included in the clinically approved PAM50 molecular subtype classification. Tumors classified as normallike display high expression of basal epithelial genes and low expression of luminal epithelial genes, but also high expression of genes expressed by non-epithelial cell types including adipocy

Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms

Background: With a trend toward de-escalation of axillary surgery in breast cancer, prediction models incorporating imaging modalities can help reassess the need for surgical axillary staging. Although mammography is routinely performed for breast cancer imaging, its potential in nodal staging remains underutilized. This study aims to employ advancements in deep learning (DL) to comprehensively ev

Water Penetration in Solid Clay Brick Masonry and its Mitigation by Repointing

Clay brick masonry façades are widely used because of their extended durability and aesthetic appeal. They also offer good protection against wind-driven rain (WDR), one of the most common moisture sources in Northern Europe. In clay brick masonry, WDR is associated with elevated water content and the possibility of water penetration, which may negatively impact the hygrothermal performance of bui

Elevated carbohydrate antigen 125 (CA125) is associated with incident heart failure and mortality in acute coronary syndrome

AIMS: Carbohydrate antigen 125 (CA125), a mucin produced by serosal cells in response to mechanical and inflammatory stimuli, has emerged as an important biomarker to guide risk stratification in heart failure (HF). The prognostic value of CA125 in acute coronary syndrome (ACS) patients is less explored.METHODS: In a cohort of 524 ACS patients (73% males, mean age 67 ± 12 years), we assessed the a

Tau Positron Emission Tomography for Predicting Dementia in Individuals With Mild Cognitive Impairment

IMPORTANCE An accurate prognosis is especially pertinent in mild cognitive impairment (MCI), when individuals experience considerable uncertainty about future progression. OBJECTIVE To evaluate the prognostic value of tau positron emission tomography (PET) to predict clinical progression from MCI to dementia. DESIGN, SETTING, AND PARTICIPANTS This was a multicenter cohort study with external valid

Biogeochemistry in Subarctic birch forests : Perspectives on insect herbivory

Växtätare kan påverka ekosystemprocesser, dels genom långsiktiga förändringar av växtsamhällets sammansättning, men också på kortare sikt genom derasmatspjälkning av organiskt material som cyklas genom markens nedbryderorganismer och tillbaka till de primära producenterna. Särskilt störreväxtätare har studerats i stor utsträckning, men i vissa ekosystem som skogar kan de mindre ryggradslösa växtätHerbivory can influence ecosystem processes, partly through long-term changes of the plant community compositions, but also more rapidly through the herbivores’ digestive alteration of the organic matter that is cycled through the soil and back to the primary producers. In the Subarctic mountain birch (Betula pubescens ssp. czerepanovii) forest (SMBF) in Northern Fennoscandia, outbreaks by the geo

Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies

Background Genetic determinants of stroke, the leading neurological cause of death and disability, are poorly understood and have seldom been explored in the general population. Our aim was to identify additional loci for stroke by doing a meta-analysis of genome-wide association studies. Methods For the discovery sample, we did a genome-wide analysis of common genetic variants associated with inc

Microbial production of platform chemicals from glycerol

The chemical industry is primarily dependent on fossil oil and gas as raw materials. With increasing demands on reducing the greenhouse gas emissions and carbon footprint attributed to fossil based production, the industry looks for alternative renewable cleaner resources to secure the supplies for future chemical and material products. The current trend in the shift to bio-based economy aims at u

Modelling nutrient transport from forest ecosystems to surface waters : The model ForSAFE-2D

Skogar tillhandahåller en mångfald av produkter och tjänster som alla är kopplade till vattenresurser. Träd behöver vatten för att växa och samtidigt förändrar träd kvalitén och kvantiteten av avrinningen genom modifiering av vatten- och näringsämneskretsloppet. Förståelsen av samspelet mellan skog och vatten är grundläggande för att kunna utvärdera konsekvenserna av naturlig och antropogen påverkForests provide multiple products and services which are all are linked to water resources. Trees need water to grow and, at the same time, they change the quality and the quantity of runoff by modifying water and nutrient cycling. The understanding of the interactions between forest and water is fundamental to assess the consequences of natural and anthropogenic pressures, such as climate change