Publications by authors named "Hemming V"

Article Synopsis
  • The offshore Multi-use Setting (MUS) aims to combine marine industrial activities like wind farms and aquaculture to optimize space and resources while addressing global policy priorities.
  • A study using expert predictions assessed the potential social and environmental impacts of co-locating seaweed aquaculture with a wind farm, revealing both risks, such as species mortality and stakeholder conflict, and benefits, like improved habitat functionality.
  • The findings highlight the complexity and uncertainty in managing MUS, suggesting the need for further integrated assessments and alternative strategies to minimize trade-offs and risks in such ventures.
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This paper explores judgements about the replicability of social and behavioural sciences research and what drives those judgements. Using a mixed methods approach, it draws on qualitative and quantitative data elicited from groups using a structured approach called the IDEA protocol ('investigate', 'discuss', 'estimate' and 'aggregate'). Five groups of five people with relevant domain expertise evaluated 25 research claims that were subject to at least one replication study.

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  • Expert knowledge is crucial for creating habitat suitability models (HSMs) used in wildlife management, but their consistency has been questioned.
  • The study focused on four felid species, finding that models for specialist species (like ocelots) aligned better with camera-trap data compared to generalists (like pumas).
  • Increased participant experience and model feedback improved model accuracy, especially for generalist species, highlighting the importance of including knowledgeable experts in the modeling process.
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As replications of individual studies are resource intensive, techniques for predicting the replicability are required. We introduce the repliCATS (Collaborative Assessments for Trustworthy Science) process, a new method for eliciting expert predictions about the replicability of research. This process is a structured expert elicitation approach based on a modified Delphi technique applied to the evaluation of research claims in social and behavioural sciences.

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Journal peer review regulates the flow of ideas through an academic discipline and thus has the power to shape what a research community knows, actively investigates, and recommends to policymakers and the wider public. We might assume that editors can identify the 'best' experts and rely on them for peer review. But decades of research on both expert decision-making and peer review suggests they cannot.

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The estimation of parameters and model structure for informing infectious disease response has become a focal point of the recent pandemic. However, it has also highlighted a plethora of challenges remaining in the fast and robust extraction of information using data and models to help inform policy. In this paper, we identify and discuss four broad challenges in the estimation paradigm relating to infectious disease modelling, namely the Uncertainty Quantification framework, data challenges in estimation, model-based inference and prediction, and expert judgement.

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Article Synopsis
  • Biodiversity conservation decisions are challenging due to conflicting values, complex objectives, limited resources, and uncertainty, but decision science offers practical frameworks and tools to assist in these processes.
  • The lack of training and confusion over terminology and tools has hindered the application of decision science, which does not have to be complicated or time-consuming if approached systematically.
  • By breaking down decision analysis into clear steps and employing rapid-prototyping methods, decision-makers can effectively use decision-support tools and frameworks to navigate conservation challenges more efficiently.
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  • Using weighted aggregation of expert judgments based on their performance on calibration questions may yield better results than equal weighting, but finding relevant calibration questions can be challenging.
  • This study investigates the impact of including irrelevant calibration questions on the effectiveness of performance weighted aggregations compared to equal weights, concluding that experts struggle to adapt their knowledge across different domains.
  • The findings suggest that if relevant questions aren't available, analysts should opt for equal weights and explore other methods to enhance judgments, highlighting the limitations of performance weighted aggregations in terms of predictive accuracy across varying question types.
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Expert elicitation is deployed when data are absent or uninformative and critical decisions must be made. In designing an expert elicitation, most practitioners seek to achieve best practice while balancing practical constraints. The choices made influence the required time and effort investment, the quality of the elicited data, experts' engagement, the defensibility of results, and the acceptability of resulting decisions.

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Performance weighted aggregation of expert judgments, using calibration questions, has been advocated to improve pooled quantitative judgments for ecological questions. However, there is little discussion or practical advice in the ecological literature regarding the application, advantages or challenges of performance weighting. In this paper we (1) illustrate how the IDEA protocol with four-step question format can be extended to include performance weighted aggregation from the Classical Model, and (2) explore the extent to which this extension improves pooled judgments for a range of performance measures.

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Article Synopsis
  • Natural resource management often relies on expert judgement, but these judgements are usually made using untested methods, which can be improved with structured approaches like the IDEA protocol.
  • The IDEA protocol was tested with 76 participants estimating future events on the Great Barrier Reef, using a four-step process that involved investigation, discussion, estimation, and aggregation of opinions.
  • Results showed that using the IDEA protocol not only enhanced the accuracy of judgements through group collaboration but also clarified communication and encouraged rigorous review, making it a valuable tool in scientific decision-making.
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Background: Febrile neutropenia (FNP) causes significant morbidity and mortality in children undergoing treatment for cancer. The development of clinical decision rules to help stratify risks in paediatric FNP patients and the use of inflammatory biomarkers to identify high risk patients is an area of recent research. This study aimed to assess if procalcitonin (PCT) levels could be used to help diagnose or exclude severe infection in children with cancer who present with febrile neutropenia, both as a single measurement and in addition to previously developed clinical decision rules.

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  • Chronic helminth infections induce a shift in immune response towards Th2, which may suppress the Th1 immunity necessary for controlling Mycobacterium tuberculosis (MTB) infection.
  • Co-infection studies in cotton rats showed that chronic helminth infections did not increase MTB loads or lung granulomas, challenging the initial hypothesis.
  • The results suggest that eradicating filarial infections may not aid in controlling MTB, but there may be potential for developing therapies from worms for autoimmune diseases without heightening infection risks.
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Respiratory syncytial virus (RSV) causes significant morbidity in very young children, preterm infants with and without chronic lung disease, and children with hemodynamically significant congenital heart disease. In the absence of a safe and effective vaccine, alternative means of protecting high-risk infants and young children from serious RSV illness have been studied. Clinical observations and animal model data over the past 30 years suggested that RSV immunoglobulin G (IgG) neutralizing antibodies might offer protection from severe RSV lower respiratory tract disease.

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To test the hypothesis that herpes viruses may have a role in thyroid neoplasia, we analysed thyroid tissues from patients with benign (44) and malignant (65) lesions for HSV1 and HSV2 DNA. Confirmatory studies included direct sequencing, analysis of viral gene expression, and activation of viral-inducible signalling pathways. Expression of viral entry receptor nectin-1 was examined in human samples and in cancer cell lines.

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We previously described primary tuberculosis in Sigmodon hispidus cotton rats up to 6 months following a pulmonary challenge. At that time, we observed fewer animals demonstrating disease as time from exposure progressed. We hypothesized that some cotton rats may control a primary infection to latency in a similar fashion to humans.

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  • The study aimed to investigate the prevalence and features of congenital small intestinal atresia (SIA) using data from the Northern Congenital Abnormality Survey (NorCAS) between 1991 and 2001.
  • Out of 372,717 registered births, 99 cases of SIA were identified, with a notable percentage associated with chromosomal and other structural anomalies, resulting in a prevalence rate of 2.66 per 10,000 births.
  • The research highlights an increasing prevalence of jejunoileal atresia (JIA) over the years and improved prenatal diagnosis rates for more proximal lesions, with key findings supporting previous research while also suggesting new trends.
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Respiratory syncytial virus (RSV) is a leading cause of infant mortality worldwide. Although anti-RSV Ab prophylaxis has greatly reduced infant mortality in the United States, there is currently no vaccine or effective antiviral therapy. RSV fusion (F) protein activates cells through TLR4.

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Epidemiological studies show an association between early exposure to respiratory syncytial virus (RSV) and the development or exacerbation of asthma. This idea is supported by studies in mice that demonstrate worsened airway hyper-reactivity (AHR) when RSV-infected animals are exposed to allergen. The effect of allergen on RSV disease, however, has not been reported.

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Several animal models are used to study Mycobacterium tuberculosis (MTB) infections, but none is a fully ideal model of human disease. The American cotton rat is an excellent model for the study of several human viral and bacterial respiratory infectious diseases, but until now has not been reported to be a model with MTB infection. Preliminary experiments were designed in which two species of cotton rats (Sigmodon hispidus and Sigmodon fulviventer) received respiratory challenges with M.

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TLR4 is the signal-transducing receptor for structurally diverse microbial molecules such as bacterial LPS, respiratory syncytial virus fusion (F) protein, and chlamydial heat shock protein 60. Previous studies associated two polymorphic mutations in the extracellular domain of TLR4 (Asp(299)Gly and Thr(399)Ile) with decreased LPS responsiveness. To analyze the molecular basis for diminished responsiveness, site-specific mutations (singly or coexpressed) were introduced into untagged and epitope (Flag)-tagged wild-type (WT) TLR4 expression vectors to permit a direct comparison of WT and mutant signal transduction.

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Triamcinolone acetonide, methylprednisolone, and dexamethasone were each evaluated in combination with palivizumab (Synagis) for the therapy of established respiratory syncytial virus infection in the cotton rat. Triamcinolone and methylprednisolone proved to be more effective than dexamethasone in reducing lung pathology. No recurrence of viral replication or pulmonary pathology followed the cessation of therapy.

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