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Human in vitro models of neural tissue with tunable microenvironment and defined spatial arrangement are needed to facilitate studies of brain development and disease. Towards this end, embedded printing inside granular gels holds great promise as it allows precise patterning of extremely soft tissue constructs. However, granular printing support formulations are restricted to only a handful of ma
BackgroundNearly 10% of the global population living with dementia resides in South Asia, a region of over two billion people with limited diagnostic and care resources. Clinicians require accessible, flexible, and contextually relevant training to improve dementia care in frontline settings.AimTo develop, pilot, and implement a multi-modal, interactive, hybrid training program to improve clinicia
Lead-free hybrid metal halide phosphors/crystals showing self-trapped exciton (STE) emission have been recently explored for thermography due to the strong temperature dependence of their photoluminescence (PL) lifetime (τ). However, realizing high-spatial-resolution thermography using polycrystalline powders or crystals presents a challenge. Moreover, the underlying mechanism of temperature-depen
This study employs computational algorithms to automatically identify and classify features in X-Ray fluorescence (XRF) microscopy images. Principal component analysis (PCA) and unsupervised machine learning algorithms, such as Gaussian mixture (GM) clustering, are implemented to label features on a collection of XRF maps of human atherosclerotic plaque samples. The investigation involves the hard
Deciphering the genetic basis of prostate-specific antigen (PSA) levels may improve their utility for prostate cancer (PCa) screening. Using genome-wide summary statistics from 95,768 PCa-free men, we conducted a transcriptome-wide association study (TWAS) to examine impacts of genetically predicted gene expression on PSA. Analyses identified 41 statistically significant (p < 0.05/12,192 = 4.10×10
Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) is a multilevel regression approach grounded in intersectionality theory. It examines inequalities across intersections of social identities (e.g., gender, ethnicity, class) and is argued to provide more accurate predictions of intersectional means than conventional methods that estimate group means directly or vi
BackgroundResearch involving current and future generations of older adults in the design of smart home technology (SHT) is scarce. In this study, current and future generations of older adults, professionals, and researchers together sought to identify user needs and aspirations for and related to SHT. The aim was to co-produce prioritized ideas for SHT solutions to support engagement in everyday
Cardiac rehabilitation (CR) is a well established intervention for secondary prevention after myocardial infarction (MI), yet substantial variability in CR delivery and patient outcomes persists globally. This review provides an in-depth overview of the SWEDEHEART-CR registry, a comprehensive Swedish national quality registry that has facilitated continuous quality improvement and clinical researc
Background Aortic valve calcification (AVC) is a disease process driven by inflammation and lipid infiltration, serving as a precursor to aortic stenosis. While male sex has been implicated as a risk factor for AVC, sex-specific differences, particularly among younger individuals in the general population, are not well characterised. Methods The Swedish CArdioPulmonary BioImage Study was used, com
BACKGROUND: A growing body of evidence links microRNAs (miRNAs) to major depressive disorder (MDD). However, the causal nature of these associations remains unclear.OBJECTIVES: This study aimed to investigate the potential causal association between miRNAs and MDD by combining Mendelian Randomization (MR) analyses and experimental validation.METHODS: Single-nucleotide polymorphisms (SNPs) signific
Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development an
All inorganic halide perovskites in the form of colloidal quantum dots (QDs) have come into people's view as one of the potential materials for the high-efficiency solar cells; nevertheless, the high surface trap density and poor stability of QDs restrict the performance improvement and application. Here, we obtain colloidal inorganic perovskite CsPb1-xZnxI3 QDs by the hot-injection synthesis proc
Despite medical, technical, and pedagogical advances, the risk for language impairment is still much higher in deaf and hard-of-hearing (DHH) children than in hearing peers. Research on linguistic, cognitive, and communicative development in DHH children has found a range of basic spoken language deficits. Twenty percent to 50% of deaf children still meet criteria for language impairment. Tests of
Determining how electrode structure governs the performance of an electrocatalyst requires techniques capable of probing structure at the atomic scale, often in situ and operando. In recent years, there have been numerous advances in the main experimental techniques for determining the structure of the electrochemical interface. In situ/operando synchrotron surface x-ray diffraction measurements a
Bacteria and fungi, representing two major soil microorganism groups, play an important role in global nutrient biogeochemistry. Biogeographic patterns of bacterial and fungal biomass are of fundamental importance for mechanistically understanding nutrient cycling. We synthesized 1323 data points of phospholipid fatty acid-derived fungal biomass C (FBC), bacterial biomass C (BBC), and fungi:bacter
