Browse Articles

Investigating practices and difficulties in communicating with patients about COVID-19 vaccination among healthcare workers in Italy

Abstract The aims of this cross-sectional study were to understand the healthcare workers’ (HCWs) practices and difficulties in communicating with patients about COVID-19 vaccinations, to investigate the factors associated, and to identify targets to improve the efficacy of the COVID-19 immunization strategy. Questionnaires were administered between November 2021 and March 2022 in three immunization centers in Italy. More than half of HCWs (56.8%) reported to always recommend COVID-19 vaccination to their patients, and the recommendations for other vaccinations were provided by 50.4% of the participants. Physicians/medical residents, males, and those who recommended other vaccinations to their patients were more likely to always recommend COVID-19 vaccination. The participants’ perception of difficulties in communicating with patients about COVID-19 vaccination and the impact of sources of information on patients’ knowledge about vaccination, explored using a ten-point Likert-type scale, resulted in a mean value of 6.3 and 7.9, respectively. A higher level of perception regarding difficulties in communicating with patients was more likely to be found among nurses/midwives and younger HCWs. It is important to reduce HCWs’ perceived gap regarding difficulties in communicating with patients, supporting them through health policy to recommend vaccinations, and engaging them in increasing uptake rates.

Prolonged persistence of mutagenic DNA lesions in somatic cells

Abstract DNA is subject to continual damage, leaving each cell with thousands of individual DNA lesions at any given moment 1–3 . The efficiency of DNA repair means that most known classes of lesion have a half-life of minutes to hours 3,4 , but the extent to which DNA damage can persist for longer durations remains unknown. Here, using high-resolution phylogenetic trees from 89 donors, we identified mutations arising from 818 DNA lesions that persisted across multiple cell cycles in normal human stem cells from blood, liver and bronchial epithelium 5–12 . Persistent DNA lesions occurred at increased rates, with distinctive mutational signatures, in donors exposed to tobacco or chemotherapy, suggesting that they can arise from exogenous mutagens. In haematopoietic stem cells, persistent DNA lesions, probably from endogenous sources, generated the characteristic mutational signature SBS19 13 ; occurred steadily throughout life, including in utero; and endured for 2.2 years on average, with 15–25% of lesions lasting at least 3 years. We estimate that on average, a haematopoietic stem cell has approximately eight such lesions at any moment in time, half of which will generate a mutation with each cell cycle. Overall, 16% of mutations in blood cells are attributable to SBS19, and similar proportions of driver mutations in blood cancers exhibit this signature. These data indicate the existence of a family of DNA lesions that arise from endogenous and exogenous mutagens, are present in low numbers per genome, persist for months to years, and can generate a substantial fraction of the mutation burden of somatic cells.

Chemical modification and antioxidant activity of Wendan peel polysaccharide

Predicting three-dimensional chaotic systems with four qubit quantum systems

Abstract Reservoir computing (RC) is among the most promising approaches for AI-based prediction models of complex systems. It combines superior prediction performance with very low CPU-needs for training. Recent results demonstrated that quantum systems are also well-suited as reservoirs in RC. Due to the exponential growth of the Hilbert space dimension obtained by increasing the number of quantum elements small quantum systems are already sufficient for time series prediction. Here, we demonstrate that three-dimensional systems can already well be predicted by quantum reservoir computing with a quantum reservoir consisting of the minimal number of qubits necessary for this task, namely four. This is achieved by optimizing the encoding of the data, using spatial and temporal multiplexing and recently developed read-out-schemes that also involve higher exponents of the reservoir response. We outline, test and validate our approach using eight prototypical three-dimensional chaotic systems. Both, the short-term prediction and the reproduction of the long-term system behavior (the system’s “climate”) are feasible with the same setup of optimized hyperparameters. Our results may be a further step towards the realization of a dedicated small quantum computer for prediction tasks in the NISQ-era.

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Spontaneous ordering of identical materials into a triboelectric series

Abstract When two insulating, neutral materials are contacted and separated, they exchange electrical charge 1 . Experiments have long suggested that this ‘contact electrification’ is transitive, with different materials ordering into ‘triboelectric series’ based on the sign of charge acquired 2 . At the same time, the effect is plagued by unpredictability, preventing consensus on the mechanism and casting doubt on the rhyme and reason that series imply 3 . Here we expose an unanticipated connection between the unpredictability and order in contact electrification: nominally identical materials initially exchange charge randomly and intransitively, but—over repeated experiments—order into triboelectric series. We find that this evolution is driven by the act of contact itself—samples with more contacts in their history charge negatively to ones with fewer contacts. Capturing this ‘contact bias’ in a minimal model, we recreate both the initial randomness and ultimate order in numerical simulations and use it experimentally to force the appearance of a triboelectric series of our choosing. With a set of surface-sensitive techniques to search for the underlying alterations contact creates, we only find evidence of nanoscale morphological changes, pointing to a mechanism strongly coupled with mechanics. Our results highlight the centrality of contact history in contact electrification and suggest that focusing on the unpredictability that has long plagued the effect may hold the key to understanding it.