Sökresultat

Here we report the results from exploratory analysis using a Bayesian network approach of data originally derived from a large North European study of type 2 diabetes (T2D) conducted by the IMI DIRECT consortium. 3029 individuals (795 with T2D and 2234 without) within 7 different study centres provided data comprising genotypes, proteins, metabolites, gene expression measurements and many differen

The long-standing debate in the scientific community about whether ferroelectricity or ferroelasticity is the key property influencing the optoelectronic behavior of metal halide perovskites continues. In this study, we experimentally investigate the temperature dependence of photoluminescence from CsPb(Br1−xClx)3 nanowires and their heterojunctions. Our findings show an enhancement of the exciton

The influence of alkyl chain on the physical and photochemical properties of D-A-π-A-π-A sensitizers (GZ-121 and GZ-124) for dye-sensitized solar cells (DSSCs) was investigated through density functional theory (DFT). Key aspects examined include geometry, optical characteristic, electron injection, intramolecular charge transfer, and dye regeneration. Adsorption models of dye@TiO2, short-circuit

We present a temperature-dependent intensity modulated two-photon excited fluorescence microscopy technique that enables high-resolution quantitative mapping of charge carrier dynamics in perovskite microcrystal film. By disentangling the emission into harmonics of the excitation modulation frequency, we analyze the first and second order charge carrier recombination processes, including potential

Varför väljer utbildare inom FM de utbildningsmetoder de väljer? Vilka faktorer påverkar? Skiljer sig FMs utbildningsmetoder från skolans utbildningsmetoder? Denna studie penetrerar frågorna ur före detta värnpliktigas synvinkel. En litteraturstudie redovisar en jämförelse mellan utbildningsmetoder inom olika utbildningar, inte bara inom skolans värld. En kvantitativ och kvalitativ studie redovisa

Early and correct diagnosis of inflammatory rheumatic diseases (IRD) poses a clinical challenge due to the multifaceted nature of symptoms, which also may change over time. The aim of this study was to perform protein expression profiling of four systemic IRDs, systemic lupus erythematosus (SLE), ANCA-associated systemic vasculitis (SV), rheumatoid arthritis (RA), and Sjögren's syndrome (SS), and

BACKGROUND: The Chronic Kidney Disease in Children Study (CKiD) equation for children and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for adults are recommended serum creatinine (SCr)-based calculations for estimating glomerular filtration rate (GFR). However, these equations, as well as their combination, have limitations, notably the problem of implausible changes in

Aim: The overall aim of was to investigate the impact of self-reportedallergic disease on physical activity (PA) and health-related quality oflife (HRQoL) among adolescents.Methods: A cross-sectional analysis of 1 181 adolescents aged 13-14years (251 with current allergic disease), participating in the baselineinvestigation of the Southern Sweden allergy cohort, including a surveywith questions on

The enhancement of the electromagnetic field elicited by localized surface plasmon resonance (LSPR) is conducive to the generation of charge carriers, which have an important effect in driving many kinds of chemical reactions. Nonetheless, the short lifespan of charge carriers generated by plasmon (typically femtoseconds to nanoseconds) limits their effectiveness in promoting chemical reactions. H

The amyloid precursor protein intracellular domain (AICD), a cleavage product of amyloid precursor protein implicated in Alzheimer disease and amyloid lateral sclerosis, is a functionally important but structurally elusive intrinsically disordered protein. In this study, we investigate the conformational ensemble of a 35-residue AICD segment encompassing the conserved YENPTY motif using molecular

Understanding and managing charge carrier recombination dynamics is crucial for optimizing the performance of metal halide perovskite optoelectronic devices. In this work, we introduce a machine learning-assisted intensity-modulated two-photon photoluminescence microscopy approach for quantitatively mapping recombination processes in MAPbBr3 perovskite microcrystalline films at micrometer-scale re

Organic luminescent narrowband emitters have emerged as promising candidates for wide-color-gamut displays. However, the comprehensive photo-induced structural and vibrational dynamics responsible for the spectral broadening remain poorly understood. In this study, ultrafast spectroscopy is employed to elucidate the excited state dynamics of a sulfone-embedded narrowband emitter, 2tCPD. An intrins

Multi-wavelength thermo-optical analysis (MW-TOA) and Raman spectroscopy are commonly used methods to study soot sampled on filters, in terms of carbon content, nanostructure, and absorption properties. In this work, these techniques were combined to study how these characteristic properties of soot change in premixed flames, 1) at various flame heights during soot maturation and 2) as a result of

Using megahertz x-ray free electron laser imaging with x-ray pulses of ~25 femtoseconds and a machine-learning strategy, we have conducted comprehensive in situ imaging studies on the dynamics of cavitation bubble clouds in ultrasound fields at the SPB/SFX beamline of the European XFEL. The research unambiguously revealed the quasi-simultaneous implosion of multiple bubbles and simultaneous collap

System co-sensitization and extension of the π-conjugated system are recognized as two key strategies for improving the performance of dye-sensitized solar cells (DSSCs). In this study, density functional theory (DFT) was employed to simulate two experimentally synthesized molecules, RK1 and D205, and to evaluate the performance of their co-sensitization system. Furthermore, molecular design was c

The growing complexity of urban energy systems, climate uncertainties, and geopolitical disruptions highlight the need for energy flexibility and smart management. Recent developments in smart buildings enable real-time adaptability and collective energy behavior through the deployment of Reinforcement Learning (RL), which optimizes energy use, integrates distributed resources, and enhances demand

Gold particles are commonly used as catalysts in the vapor-liquid-solid (VLS) growth of GaAs nanowires, but the incorporation of gold into the nanowires can negatively affect their electronic and optical properties. In this work, we investigate the equilibrium concentration of Au in GaAs nanowires using density functional theory calculations combined with thermodynamically assessed chemical potent

Carbon Black (CB), graphene, and nanodiamonds represent three classes of manufactured carbonaceous nanoparticles consisting almost exclusively of insoluble material. Particle-related Reactive Oxygen Species (ROS) have been linked to in vivo and in vitro toxicity and determining particle ROS activity is an efficient way of estimating nanomaterial toxicity and assist in the safe-by-design developmen

Background: Metformin is one of the most used drugs worldwide. Given the increasing use of proteomics in trials, bioresources, and clinics, it is crucial to understand the influence of metformin on the levels of the circulating proteome. Methods: We analysed a combined longitudinal proteomics dataset from the IMPOCT, RAMP and S3WP-T2D clinical trials in 98 participants before and after metformin e

With organic solar cells surpassing 20% efficiency, the focus is shifting toward understanding the more complex mechanisms in ternary blends. This work investigates the distinct working principles of ternary organic solar cells based on a polymer donor (D) and a nonfullerene acceptor (NFA), with a fullerene acceptor (FA) as the third component. A systematic comparison between ternary D:NFA:FA syst