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Daily briefing: Editing the epigenome with CRISPR to treat disease
Controlling the formation of endotaxial CoSi2 nanowires and nanodots on Si(001)
Analysis of the boundary load impact on porcelain insulators and DIC test
How one US scientist is adapting to life abroad after DOGE cuts
Effect of ZnO/MWCNT incorporation on the multifunctional properties of chitosan–PEO nanocomposites for potential food-packaging applications
Perception and knowledge of Fabry disease: a comparative survey of patients and medical professionals in South Korea
Abstract Fabry disease (FD) is a rare X-linked lysosomal storage disorder associated with progressive multiorgan damage. Because perceptual differences between patients and clinicians regarding diagnosis and treatment can contribute to suboptimal management. We aimed to compare the perceptions of patients with FD and nephrologists in South Korea regarding the diagnostic process, treatment decisions, and genetic counseling. We conducted a cross-sectional survey enrolling 25 patients with FD, 33 patients with chronic kidney disease (without a known genetic etiology), and 27 nephrologists. The surveys assessed diagnostic testing considerations, treatment preferences, attitudes toward angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEi/ARB), and genetic counseling priorities. All three groups prioritized diagnostic accuracy, while both patient groups emphasized procedural concerns (e.g., pain from blood draw and blood loss risk) significantly more than clinicians. A perception gap existed regarding ACEi/ARB therapy: 92.3% of clinicians believed in its renoprotective effect, whereas only 26.1% of patients agreed to treatment without strong evidence. Both groups agreed on the importance of genetic counseling for family screening. Regarding treatment, 96% of patients and 81.5% of clinicians preferred oral over injectable enzyme replacement therapy. These significant perception gaps highlight the need for improved patient education and shared decision-making to enhance treatment adherence and clinical outcomes in FD management.
Family of magnetic field-boosted superconductors in rhombohedral graphene
Identification of novel 5’ UTR variants for enhanced mRNA translation and vaccine immunogenicity
Audio long read: Is the peptide craze backed by science? The promise behind the hype
Stress and permeability evolution characteristics of a long distance upper protected coal seam based on hydromechanical coupling and gas extraction technology
Retraction Note: Study on the spatial and temporal evolution characteristics and spatial influencing factors of carbon emission intensity in commercial land
A diffusion-inspired noise augmentation framework for robust multilingual text classification
Advanced hierarchical ZnFe-LDH@MnO₂ nanostructures for sensitive voltammetric determination of lenalidomide
Synthesis of a novel highly active Ce(NDC)MOF@Bentonite nanocatalyst for sustainable production of hydrogen via the hydrolysis of sodium borohydride
Abstract One of the most important concerns now governing international attention is energy generation. In this work, Ce(NDC)MOF@Bentonite nanocomposite was synthesized and used as a novel and effective catalyst for the green synthesis of hydrogen. The synthesized composite was characterized using X-ray diffraction (XRD), thermogravimetric analysis (TGA), N 2 -adsorption, Fourier- transform infrared (FT-IR), and scanning electron microscope (SEM) techniques. On the view of the characterized data, a pure and distinct crystalline phase with a highly specific surface area (S BET ) of 58.5 m 2 /g was formed. Moreover, the morphology of the nanocomposite was monitored through scanning (SEM). SEM image which revealed a highly porous surface texture with some large particles with highly spherical morphology. The catalytic performance of the fabricated catalysts was propped via the hydrolysis of sodium borohydride. The effect of NaBH 4 concentration, weight of the catalyst, and the reaction temperature on NaBH 4 hydrolysis was investigated. The hydrogen generation rate HGR of 116.02 mL min −1 g − 1 at 30 °C was achieved using 16 mg of the catalyst and 0.05 M NaBH 4 . Kinetic and thermodynamic functions including activation energy, enthalpy, entropy, and free energy changed were also estimated. This work suggests that such novel and highly active catalysts hold strong potential as advanced materials for hydrogen energy applications.
Retraction: Jayne DRW et al. Avacopan for the Treatment of ANCA-Associated Vasculitis, N Engl J Med 2021;384:599-609.
Cognitive and personality trait prediction using activation maps and temporal dynamics derived from resting-state fMRI
Abstract Predicting behavioral and personality traits from neuroimaging data requires effective modeling of complex and high-dimensional brain dynamics. Although recent advances in neurocomputations have paved the way for trait prediction models, the attempts remain at a nascent stage, as reflected in the moderate prediction accuracies. To this end, in this work, we propose a novel unified framework that leverages both spatial and temporal information derived from resting-state functional MRI (rs-fMRI) for trait prediction. Task-activation maps are first estimated directly from rs-fMRI, providing spatial representations of task-evoked brain activity without requiring explicit task paradigms. To capture temporal dynamics, MultiRocket, an efficient time-series feature-extraction method, is employed, encoding trait-specific patterns in rs-fMRI signals. The spatial and temporal features are then fused to form a unique unified spatio-temporal representation that is subsequently provided to an ensemble framework to predict cognitive traits, viz., reading ability, fluid intelligence, and processing speed, and personality traits, viz., openness to experience and extraversion. Experimental validation of the proposed framework on the HCP dataset demonstrates superior predictive performance, achieving state-of-the-art correlations of up to 0.5284, thereby highlighting the importance of the proposed spatio-temporal modeling for understanding brain-behaviour relationships.