Filtyp
The aim of this study is to describe in what way the students' learning outcomes and theoretical assumptions are used by teachers to enhance the design of lessons with a focus on development of sustainable learning over time. Seven teachers and 71 students in an upper secondary school participated, along with one researcher. Three lessons were designed and implemented in three different student gr
This study addresses the critical need to report original and current findings on the global food system's ability to meet the growing natural resource demands of an estimated 9?billion global population. The objective is to provide guidance for researchers in developing strategies to reduce climate change risks in the food and beverage supply. To achieve this, we propose integrating innovative in
Share and repair organizations (SROs) have important implications for resource efficiency and socio-economic sustainability in cities, but their potential to contribute to long-term urban resilience has yet to be systematically investigated. Knowledge is scarce about how these nascent circular initiatives can provide building blocks for socio-economic recovery in the wake of recent crises such as
BACKGROUND: Fatigue is a distressing and prevalent long-term sequela of treatment for childhood cancer, and there is a need for longitudinal studies to investigate the development of fatigue over time. The objective of this study was to calculate growth-curves for the longitudinal development of fatigue after treatment for childhood cancer, and to investigate the effects of biopsychosocial predict
OBJECTIVES: Very early-life conditions are recognized as critical for healthy brain development. This study assesses early-life risk factors for developing dementia. In the absence of historical medical birth records, we leverage an alternative full population approach using demographic characteristics obtained from administrative data to derive proxy indicators for birth complications and unfavor
Lipid nanoparticles (LNPs) are the most versatile and successful gene delivery systems, notably highlighted by their use in vaccines against COVID-19. LNPs have a well-defined core–shell structure, each region with its own distinctive compositions, suited for a wide range of in vivo delivery applications. Here, we discuss how a detailed knowledge of LNP structure can guide LNP formulation to impro
We present a novel design of an electrode arrangement for measurement of the resistivity of soil samples contained in a sample cylinder used in standard geotechnical site investigations in Sweden. The objective is to make it possible to measure the resistivity of the same samples that are to be used for mechanical tests, without disturbing the samples in order to get unbiased mechanical test data.
In vivo magnetic resonance spectroscopy (MRS) is a powerful tool for biomedical research and clinical diagnostics, allowing for non-invasive measurement and analysis of small molecules from living tissues. However, currently available MRS processing and analytical software tools are limited in their potential for in-depth quality management, access to details of the processing stream, and user fri
Accurate density matrix simulation of nuclear spin systems is critical for quantifying magnetic resonance spectroscopy (MRS) data, as well as for simulation studies designed to optimize acquisition parameters. Although a variety of packages exist to achieve this result, no currently available software is capable of computing a large number of spatial points in a reasonable time frame. Here we pres
Online wall temperatures were measured with fiber-coupled phosphor thermometry in a full-scale gas turbine combustor. The combustor was operated with natural gas and up to 100 vol% hydrogen at engine-relevant conditions. Two phosphors were tested for this application, namely YAG:Dy and YAG:Tm;Li. Although YAG:Tm;Li seemed to be the most promising phosphor for this application, it turned out to be
The diagnosis of Parkinsonian disorders is currently based on clinical criteria, which have limited sensitivity until most dopaminergic neurons are lost. Here we show that cerebrospinal fluid levels of DOPA decarboxylase (DDC) (also known as aromatic L-amino acid decarboxylase) can accurately identify patients with Lewy body disease (LBD) (area under the curve (AUC) = 0.89; PFDR = 2.6 × 10-13) and
The suitability of Hansen solubility parameters as descriptors for modelling analyte retention during reversed-phase chromatographic experiments was investigated. A novel theoretical model using Hansen solubility parameters as the basis for a complete mathematical derivation of the model was developed. The theoretical model also includes the cavitation volumes of the analytes, which were calculate
The human brain can be described as a complex network of functional connections between distinct regions, referred to as the brain functional network. Recent studies show that the functional network is a dynamic process and its community structure evolves with time during continuous task performance. Consequently, it is important for the understanding of the human brain to develop dynamic communit
We have designed a [Fe(SH)4H]− model with the fifth proton binding either to Fe or S. We show that the energy difference between these two isomers (∆E) is hard to estimate with quantum-mechanical (QM) methods. For example, different density functional theory (DFT) methods give ∆E estimates that vary by almost 140 kJ/mol, mainly depending on the amount of exact Hartree–Fock included (0%–54%). The m
PurposeTo ultimately make accurate and precise fetal noninvasive oxygen saturation (sO2) measurements by T2-prepared bSSFP more widely available by systematically assessing error sources in order to potentially reduce perinatal mortality in cardiovascular malformations and fetal growth restriction.MethodsT2-prepared bSSFP data were acquired in phantoms; in flowing blood in adults in the superior s
Place-based innovation policy for sustainability is essential for the delivery of the European Green Deal. In the current twin green and digital transition, deep societal transformations and new innovative solutions emerge in concrete territories. In this anthology, leading scholars reflect on the conditions for place-based innovation for sustainability and its consequences for directionality, str
