Publications by authors named "Z Evans"

As disturbance regimes change in response to anthropogenic activities, ecosystem resilience is critically important to the persistence of biodiversity and ecological functions. However, resilience in literature is often treated as an abstract concept, with widely varying definitions. Achieving common and reliable resilience metrics that cross systems and contexts remains elusive.

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Purpose: This study systematically reviews and meta-analyses the extent of ethnic minority representation in neuro-oncology Phase III and IV clinical trials, explores the effect of ethnicity on outcomes, and identifies predictors for the inclusion of ethnicity data in publications.

Methods: Adhering to PRISMA guidelines, we conducted a comprehensive literature search across multiple databases, on Phase III and IV trials in neuro-oncology that reported on adult and/or paediatric subjects. Through meta-analysis, we synthesized information on overall survival, event-free survival, and the incidence of adverse outcomes across ethnicities.

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Objectives: Pediatric cochlear implantation (CI) provides sound perception to children with significant sensorineural hearing loss and, despite its challenging process, early implantation can enhance children's speech/language outcomes and potentially improve parental quality of life (PQoL). This study aims to examine parental perspectives on quality of life and parenting children with CI.

Methods: This study combined retrospective chart review and parent reported outcomes.

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Extensive efforts are underway to develop bacteriophages as therapies against antibiotic-resistant bacteria. However, these efforts are confounded by the instability of phage preparations and a lack of suitable tools to assess active phage concentrations over time. In this study, we use dynamic light scattering (DLS) to measure changes in phage physical state in response to environmental factors and time, finding that phages tend to decay and form aggregates and that the degree of aggregation can be used to predict phage bioactivity.

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