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Development of Perovskite Nanocrystal Superlattices for Studies of Collective Phenomena

Colloidal perovskite nanocrystals are building blocks for novel materials due to the property of nanocrystals to self-assemble into ordered structures (superlattices). Exemplified by a prototypical perovskite CsPbBr3, research into perovskite nanocrystal superlattices is motivated by reports of intriguing phenomena such as superfluorescence and superradiance.[1] Such cooperative luminescence arise

Deep learning performance on MRI prostate gland segmentation : evaluation of two commercially available algorithms compared with an expert radiologist

PURPOSE: Accurate whole-gland prostate segmentation is crucial for successful ultrasound-MRI fusion biopsy, focal cancer treatment, and radiation therapy techniques. Commercially available artificial intelligence (AI) models, using deep learning algorithms (DLAs) for prostate gland segmentation, are rapidly increasing in numbers. Typically, their performance in a true clinical context is scarcely

Increasing rates of urinary- and bloodstream infections following transrectal prostate biopsy in South Sweden

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

A review of the current status and development of 5GDHC and characterization of a novel shared energy system

This review presents the status and outlook for shared energy systems (SES) and fifth-generation district heating and cooling (5GDHC). It provides an overview of the technical and functional knowledge encompassing design and development, operational and system architecture, and control and decision support systems of these technologies. The review also presents different tools and models found in

Interval Cancers in a Large, Prospective Breast Tomosynthesis Screening Trial

PURPOSETo assess interval cancer rate in a large, prospective digital breast tomosynthesis (DBT) screening trial in comparison with a concurrent screening population and to assess tumor characteristics of interval cancers in DBT-screening.METHOD AND MATERIALSThe prospective ****Trial, comparing digital breast tomosynthesis (DBT) with digital mammography (DM) in 14,848 women has shown a significant

Exposure to per- and polyfluoroalkyl substances in early pregnancy and risk of cerebral palsy in children

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-

Competing dynamics of intramolecular deactivation and bimolecular charge transfer processes in luminescent Fe(iii) N-heterocyclic carbene complexes

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

Anion-Specific Adsorption of Carboxymethyl Cellulose on Cellulose

Integration of fiber modification step with a modern pulp mill is a resource efficient way to produce functional fibers. Motivated by the need to integrate polymer adsorption with the current pulping system, anion-specific effects in carboxymethylcellulose (CMC) adsorption have been studied. The QCM-D adsorption experiments revealed that CMC adsorption to the cellulose model surface is prone to an

Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index

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

Cystatin C–Based Equation to Estimate GFR without the Inclusion of Race and Sex

BACKGROUNDThe accuracy of estimation of kidney function with the use of routine metabolic tests, such as measurement of the serum creatinine level, has been controversial. The European Kidney Function Consortium (EKFC) developed a creatinine-based equation (EKFC eGFRcr) to estimate the glomerular filtration rate (GFR) with a rescaled serum creatinine level (i.e., the serum creatinine level is divi

Malmö Breast ImaginG database: objectives and development

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 use of a

Charge Regulation during Amyloid Formation of α-Synuclein

Electrostatic interactions play crucial roles in protein function. Measuring pKa value perturbations upon complex formation or self-assembly of e.g. amyloid fibrils gives valuable information about the effect of electrostatic interactions in those processes. Site-specific pKa value determination by solution NMR spectroscopy is challenged by the high molecular weight of amyloid fibrils. Here we rep

Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study

Type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD) often co-occur. Defining causal pathways underlying this relationship may help optimize the prevention and treatment of both diseases. Thus, we assessed the strength and magnitude of the putative causal pathways linking dysglycemia and fatty liver, using a combination of causal inference methods.Measures of glycemia, insulin dynam

The Meaning of Europe, a phenomenological study

How do individuals feel and think themselves on themselves? Our actual multicultural world offer us a unique, natural experiment for a detailed study of this problematic. We will use the Meaning Constitution Analysis methodology for planification of research as it is: 1. Oriented towards meaning, as it is constituted in/by the individual in his daily life activities; 2. Oriented towards a gatherin