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Experimental revival of an unknown state from the past in quantum walks.
Natl Sci Rev
January 2025
Beijing Computational Science Research Center, Beijing 100193, China.
The physical process in the macroscopic world unfolds along a single time direction, while the evolution of a quantum system is reversible in principle. How to recover a quantum system to its past state is a complex issue of both fundamental and practical interests. In this article, we experimentally demonstrate a novel method for recovering the state in quantum walks (QWs), also known as full-state revival.
View Article and Find Full Text PDFTraditional clustering and visualization approaches in human genetics often operate under frameworks that assume inherent, discrete groupings . These methods can inadvertently simplify multifaceted relationships, functioning to entrench the idea of typological groups . We introduce a network-based pipeline and visualization tool grounded in relational thinking , which constructs networks from a variety of genetic similarity metrics.
View Article and Find Full Text PDFThe literacy barrier in clinical trial consents: a retrospective analysis.
EClinicalMedicine
September 2024
Brown University, Providence, RI, USA.
Background: Historically, the readability of consent forms in medicine have been above the average reading level of patients. This can create challenges in obtaining truly informed consent, but the implications on clinical trial participant retention are not fully explored. To address this gap, we seek to analyze clinical trial consent forms by determining their readability and relationship with the associated trial's participant dropout rate.
View Article and Find Full Text PDFHuman exposure to complex, changing, and variably correlated mixtures of environmental chemicals has presented analytical challenges to epidemiologists and human health researchers. There have been a wide variety of recent advances in statistical methods for analyzing mixtures data, with most of these methods having open-source software for implementation. However, there is no one-size-fits-all method for analyzing mixtures data given the considerable heterogeneity in scientific focus and study design.
View Article and Find Full Text PDFClinical severity grading of NF2-related schwannomatosis.
Orphanet J Rare Dis
January 2025
Department of Neurosurgery, Helios Klinikum Erfurt, Erfurt, Germany.
Background: NF2-related schwannomatosis (NF2) is associated with various tumors of the central and peripheral nervous system. There is a wide range of disabilities these patients may suffer from and there is no validated clinical classification for disease severity. We propose a clinical classification consisting of three severity grades to assist in patient management.
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