Publications by authors named "H S Stern"
Article Synopsis
- Cyclometalated iridium(III) complexes are being explored for use in G-quadruplex (GQ) nucleic acid biosensors, highlighting their potential in biochemistry.
- Through NMR titrations, researchers discovered that the compound [Ir(ppy)(pizp)](PF) significantly affects specific GQ residues, suggesting it mainly binds via end-stacking at the 5' tetrad position.
- Molecular docking and dynamics simulations not only corroborate these findings but also refine the understanding of the binding interactions, indicating their effectiveness in predicting binding sites for experimental contexts.
Background: Unpredictable childhood experiences are an understudied form of early life adversity that impacts neurodevelopment in a sex-specific manner. The neurobiological processes by which exposure to early-life unpredictability impacts development and vulnerability to psychopathology remain poorly understood. The present study investigates the sex-specific consequences of early-life unpredictability on the limbic network, focusing on the hippocampus and the amygdala.
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- The study explored how different levels of signature complexity impact the ability of forensic document examiners (FDEs) and laypeople to identify authentic versus forged signatures.
- FDEs performed better than novices, particularly with medium and high-complexity signatures, but their accuracy varied; they showed high sensitivity for medium complexity but lower for low complexity, and poor sensitivity for disguised signatures (only 11%).
- The research aimed to clarify how signature complexity affects evaluations, recognizing that actual forensic error rates might differ from the study due to varying experimental conditions.*
Background: Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow CMR) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data introduces variability and limits the reproducibility of aortic hemodynamics visualization and quantitative flow-related parameter computation. This paper explores the potential of deep learning to improve 4D flow CMR segmentation by developing models for automatic segmentation and analyzes the impact of the training data on the generalization of the model across different sites, scanner vendors, sequences, and pathologies.
View Article and Find Full Text PDFAdverse early-life experiences (ELA) affect a majority of the world's children. Whereas the enduring impact of ELA on cognitive and emotional health is established, there are no tools to predict vulnerability to ELA consequences in an individual child. Epigenetic markers including peripheral-cell DNA-methylation profiles may encode ELA and provide predictive outcome markers, yet the interindividual variance of the human genome and rapid changes in DNA methylation in childhood pose significant challenges.
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