Publications by authors named "Ioana Coman"

Facebook is the most popular social media platform and often used by news organizations to distribute content to broad audiences. Features of this online news environment, especially user-generated comments shown to news consumers, have the potential to induce audience perceptions of hostile media bias. This study furthers investigation into the influence of exposure to Facebook comments and news topics on consumers.

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We propose a mechanism that couples matter fields to three-dimensional quantum gravity, which can be used for theories with a positive or negative cosmological constant. Our proposal is rooted in the Chern-Simons formulation of three-dimensional gravity and makes use of the Wilson spool, a collection of Wilson loops winding around closed paths of the background. We show that the Wilson spool correctly reproduces the one-loop determinant of a free massive scalar field on rotating black holes in AdS_{3} and Euclidean dS_{3} as G_{N}→0.

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This paper describes the reconstruction of the topological string partition function for certain local Calabi-Yau (CY) manifolds from the quantum curve, an ordinary differential equation obtained by quantising their defining equations. Quantum curves are characterised as solutions to a Riemann-Hilbert problem. The isomonodromic tau-functions associated to these Riemann-Hilbert problems admit a family of natural normalisations labelled by the chambers in the extended Kähler moduli space of the local CY under consideration.

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The current study explores the risk communication conversations on Twitter and Instagram in the context of the 2019 HPV Awareness Day, through the theoretical lenses of the stigma associated with HPV, HPV-related cancer, and the HPV vaccine. Our findings reveal that: 1) self and enacted stigma are present in these social media conversations, via nonprofits and official ambassadors, and via regular people; 2) other categories related to stigma, which can be seen as reactions to stigma and appeals to better individuals and society (i.e.

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Unlabelled: 1.

Background: Literature data on bacterial infections and their impact on the mortality rates of COVID-19 patients from Romania are scarce, while worldwide reports are contrasting. 2.

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Purpose: Drawing from the Health Belief Model, we explored how disadvantaged groups in the U.S., including Black, Hispanic, less educated and wealthy individuals, experienced perceived barriers and cues to action in the context of the COVID-19 vaccination.

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This longitudinal study integrates exposure effects and confirmation bias under the theoretical framework of dynamic motivation activation (DMA) to examine the dynamic reciprocity of misinformation, misperceptions, and attitudes in the context of COVID-19 vaccination. Results from a three- national survey showed that misinformation exposure, misperceptions, and attitudes toward COVID-19 vaccines reinforced themselves over time. Further, misperceptions reduced subsequent pro-vaccine attitudes, and pro-vaccine attitudes in turn decreased subsequent misperceptions.

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COVID-19 has been spreading fast worldwide, and until effective and safe vaccines have been widely adopted, preventive measures such as social distancing are crucial to keep the pandemic under control. The study's research questions asked which psychosocial factors predict social distancing behavior and whether there are country-level differences in social distancing? Using the Extended Parallel Process Model (EPPM) as a theoretical lens, we examined the predictive effects of threat and efficacy and demographic variables on adherence to the COVID-19 preventive behavior of social distancing using a survey among an international sample of university students. Using path modeling and analysis of covariance, we confirmed the predictive effects of the EPPM on social distancing behavior.

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With 675 confirmed cases of measles in Romania in September 2016, the Ministry of Health launched the online campaign called 'Vaccines Save Lives'. This study seeks to apply the Health Belief Model (HBM) constructs to the online communication among the Romanian Ministry of Health and online users throughout this vaccination campaign. Using a mixed-method approach, we demonstrate how cluster analysis can help in visualizing the overall relationship among codes (HBM constructs) in the thematic interpretation related to vaccination.

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Background: Public health experts estimate that only very high COVID-19 vaccine uptake levels can result in herd immunity.

Objective: This study's main objective was to evaluate the impact of vaccine price levels, including payments, and the efficacy levels on COVID-19 vaccine demand.

Methods: Data for this study were collected from an online survey of 2000 US individuals aged 18 years and older, which included a set of contingent valuation questions.

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The commensal and opportunistic pathogen is an important cause of fungal diseases in humans, with the gastrointestinal tract being an important reservoir for its infections. The study of the mechanisms promoting the commensal state has attracted considerable attention over the last few years, and several studies have focused on the identification of the intestinal human mycobiota and the characterization of genes involved in its establishment as a commensal. In this work, we have barcoded 114 clinical isolates to identify strains with an enhanced fitness in a murine gastrointestinal commensalism model.

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Early research into the implications concerning the evolution of the infection caused by the new coronavirus in people with glucose metabolism dysfunction, in this case diabetics, shows that severe forms of the disease predominate in this risk category. Moreover, it seems that even in patients with normal glycaemic status, COVID-19 may predispose to the development of hyperglycaemia which modulates immune mechanisms and inflammatory responses, with direct effects on morbidity and mortality. Thus, taking into account these scientific data, as well as the increased frequency of diabetes in the general population, we aimed to assess the risk of an unfavourable outcome of diabetic patients, which is in a strong connection with the presence and severity of pulmonary disease such as interstitial pneumonia/bronchopneumonia, as well as the effectiveness of Tocilizumab administration.

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Background: The COVID-19 pandemic has quickly spread around the world, and since currently no treatments that are safe and effective for large groups of people nor a vaccine are available, the best way to prevent the illness is to avoid being exposed to the virus causing it. The purpose of this study was to examine the predictive effects of both demographic and psychosocial factors originating with the Health Belief Model on reported intent to adhere to COVID-19 preventive behaviors (e.g.

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The 22q11.2 deletion syndrome (22q11DS) is a developmental genetic syndrome associated with a 30% risk for developing schizophrenia. Lateral ventricles and subcortical structures are abnormal in this syndrome as well as in schizophrenia.

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Background: Abnormalities in fronto-striatal-thalamic (FST) sub-circuits are present in schizophrenia and are associated with cognitive impairments. However, it remains unknown whether abnormalities in FST sub-circuits are present before psychosis onset. This may be elucidated by investigating 22q11.

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Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season.

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Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area.

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Article Synopsis
  • CRISPR is not just a gene-editing tool; it can also regulate gene expression by combining Cas9 with transcriptional repressors or activators.
  • Researchers created a system in yeast that shows specific gene repression or activation, demonstrating success through various techniques like qPCR and flow cytometry.
  • The study highlights the potential of CRISPR technology to manipulate complex regulatory traits in important fungal pathogens, enhancing our understanding of their virulence pathways.
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Background: 22q11.2 Deletion Syndrome (22q11DS) is a genetic, neurodevelopmental disorder characterized by a chromosomal deletion and a distinct cognitive profile. Although abnormalities in the macrostructure of the cortex have been identified in individuals with 22q11DS, it is not known if there are additional microstructural changes in gray matter regions in this syndrome, and/or if such microstructural changes are associated with cognitive functioning.

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Article Synopsis
  • - Certain yeasts produce killer toxins (mycocins) that can harm sensitive yeast and fungi, a phenomenon observed in various environmental species.
  • - Recent research found cheese-derived yeast strains that produce these toxins and indicated that mutants lacking the MAPK Hog1 signal pathway are more susceptible to the mycocins, unlike other mutants.
  • - The study revealed that while Hog1's phosphorylation is crucial for survival against these toxins and coping with osmotic and oxidative stresses, overactive catalase does not provide protection, hinting at other stress-related mechanisms involved.
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Background: 22q11.2 deletion syndrome (22q11DS) is a neurodevelopmental syndrome associated with deficits in cognitive and emotional processing. This syndrome represents one of the highest risk factors for the development of schizophrenia.

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Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a genetic neurodevelopmental syndrome that has been studied intensively in order to understand relationships between the genetic microdeletion, brain development, cognitive function, and the emergence of psychiatric symptoms.

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22q11.2 Deletion syndrome (22q11DS) is a genetic disorder associated with numerous phenotypic consequences and is one of the greatest known risk factors for psychosis. We investigated intrinsic-connectivity-networks (ICNs) as potential biomarkers for patient and psychosis-risk status in 2 independent cohorts, UCLA (33 22q11DS-participants, 33 demographically matched controls), and Syracuse (28 22q11DS, 28 controls).

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Background: Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a neurogenetic disorder that is associated with a 25-fold increase in schizophrenia.

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Article Synopsis
  • 22q11.2 deletion syndrome is a neurogenetic disorder involving the loss of over 40 genes, and around 40% of those affected may develop schizophrenia, with unclear mechanisms behind this link.
  • The study hypothesized that variations in specific genes within the deleted region could influence brain volume and predict psychosis risk in youth with the syndrome, involving 56 participants.
  • Findings indicated a significant association between a specific SNP (rs701428) in the RTN4R gene and changes in gray matter in parts of the brain linked to visual processing, suggesting RTN4R may be a key gene related to psychosis susceptibility in these individuals.
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