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Three-dimensional city models are increasingly being used for analyses and simulations. To enable such applications, it is necessary to standardise semantically richer city models and, in some cases, to connect the models with external data sources. In this study, we describe the development of a new Swedish specification for 3D city models, denoted as 3CIM, which is a joint effort between the thr
Purpose: Consistent assessment of bone metastases is crucial for patient management and clinical trials in prostate cancer (PCa). We aimed to develop a fully automated convolutional neural network (CNN)-based model for calculating PET/CT skeletal tumor burden in patients with PCa. Methods: A total of 168 patients from three centers were divided into training, validation, and test groups. Manual an
PurposeWe describe the design and implementation of the Malmö Breast ImaginG (M-BIG) database, which will support research projects investigating various aspects of current and future breast cancer screening programs. Specifically, M-BIG will provide clinical data to: 1. investigate the effect of breast cancer screening on breast cancer prognosis and mortality; 2. develop and validate the us
Machine learning, a sub-field of artificial intelligence, is the study of computer algorithms that improve automatically through experience. Although the term was coined in 1959, machine learning builds on questions/methods that were developed earlier in linear algebra, mathematical analysis, optimization, and mathematical statistics. In this chapter we will give a brief overview of machine learni
Structural brain MRI has proven invaluable in understanding movement disorder pathophysiology. However, most work has focused on grey/white matter volumetric (macrostructural) and white matter microstructural effects, limiting understanding of frequently implicated grey matter microstructural differences. Using ultra-strong spherical tensor encoding diffusion-weighted MRI, a persistent MRI signal
Metal-halide perovskites (MHPs) are promising as active optoelectronic materials for a diverse range of devices. Anion exchange is a post-growth modification of MHP materials that allows tuning of the band gap and crystal structure by exposure to alternative halides, normally using solution methods. Here, low temperature gas-phase anion exchange for the conversion of CsPbBr3 nanowires (NW) into Cs
Steady state and ultrafast spectroscopy on [FeIII(phtmeimb)2]PF6 (phtmeimb = phenyl(tris(3-methylimidazol-2-ylidene))borate) was performed over a broad range of temperatures. The intramolecular deactivation dynamics of the luminescent doublet ligand-to-metal charge-transfer (2LMCT) state was established based on Arrhenius analysis, indicating the direct deactivation of the 2LMCT state to the doubl
The double quantum coherence (DQC) signal in nonlinear spectroscopy gives information about the many-body correlation effects not easily available by other methods. The signal is short-lived, consequently, a significant part of it is generated during the pulse overlap. Since the signal is at two times the laser frequency, one may intuitively expect that the pulse overlap-related artifacts are filt
BACKGROUND: Gleason grading is the standard diagnostic method for prostate cancer and is essential for determining prognosis and treatment. The dearth of expert pathologists, the inter- and intraobserver variability, as well as the labour intensity of Gleason grading all necessitate the development of a user-friendly tool for robust standardisation.OBJECTIVE: To develop an artificial intelligence
ObjectiveTo report trends and characteristics of post-biopsy infections, with regard to etiology and resistance patterns, in a large unique cohort from a single-centre using the same antibiotic prophylactic regimens during a 15-year period.MethodsThis is an observational cross sectional cohort study, including all patients who underwent transrectal prostate biopsy (TR PBx) guided by ultrasound for
BACKGROUND: The aims of this study were to determine which consent procedure patients prefer for use of stored tissue for research purposes and what the effects of consent procedures on actual consenting behaviour are.METHODS: We offered 264 cancer patients three different consent procedures: 'one-time general consent' (asked written informed consent), 'opt-out plus' (had the opportunity to opt ou
Background: The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed. Methods: Using an objective machine-learning method we quantified the tum
E-commerce is a complex societal challenge with an enormous potential to contribute to sustainable development. In order to capture this potential and transform e-commerce into a sustainable system requires radical change. But which areas are in need of change in order to achieve a grand effect and what key issues must addressed?
BACKGROUND: Most cerebral palsy (CP) cases have an unexplained etiology, but a role for environmental exposures has been suggested. One purported environmental risk factor is exposure to endocrine-disrupting pollutants specifically per- and polyfluoroalkyl substances (PFAS).OBJECTIVES: We investigated the association between prenatal PFAS exposures and CP in Swedish children.METHODS: In this case-
Neurodegenerative diseases have traditionally been defined in vivo based on clinical symptoms. However, the development of biomarkers has enabled a shift towards in vivo biological definitions. There is now a need to characterize memory clinic populations using multi-dimensional biomarker information. Here, we employed a data-driven approach to develop a biological framework for categorizing indiv
Graphical methods for system analysis have played a central role in control theory. The Scaled Relative Graph (SRG) has recently emerged as a useful tool for stability analysis of feedback interconnections. In this letter, we further extend its applicability by showing how the SRG of a discrete-time linear-time-invariant (LTI) system can be computed exactly from its state-space representation usin
The electromechanical properties of hafnium zirconium oxide fluorite (Hf0.5Zr0.5O2, HZO) remain largely unexplored despite its widespread use as a ferroelectric in CMOS-compatible devices. Here, we demonstrate that electrostriction-driven phase instability enables a giant pseudo-piezoelectric response in epitaxial HZO thin films. Above a critical field of 24 kilovolts per centimeter, field-induced
Nonwoven fibre networks underpin filtration, insulation and geotextiles, where liquid uptake, redistribution and release govern performance. In needle-punched felts, barbed needles mechanically entangle fibres and partially reorient them towards the thickness direction (z), creating out-of-plane “pillars” and heterogeneity. While mechanical and structural consequences of needling are well document
Palladium hydrides are promising systems for hydrogen sensors and hydrogen storage, making the study of hydride formation in nanoparticles highly relevant. Lately, such studies have often been performed in situ or operando using synchrotron radiation of increasingly high intensity and brilliance. While beam-induced effects are well documented in liquid environments, they are rarely considered in t
