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Miles Richardson

Publications and source records attributed to Miles Richardson.

3 recordsLinked to original sources

Divergent avian strains drive an off-season influenza A peak in municipal wastewater.

Wastewater sequencing is an increasingly valuable tool in tracking the spread of infectious disease agents across space and time in areas of dense human settlement. Among pathogens that can be readily detected by this approach is influenza A, which follows predictable patterns of prevalence through the winter months in North America. Here, we leverage routine surveillance of a municipal wastewater treatment plant in Northern California to describe an atypical, off-season spike in influenza A concentrations that rivals that of the winter respiratory virus season. Drawing upon metagenomic data generated through hybrid-capture sequencing, we assemble and subsequently characterize fragments of divergent influenza genomes that appear to derive predominantly from the avian H16 clade. These strains exhibit close evolutionary relationships to influenza isolated from migratory shorebirds, hinting at potential host species and mechanisms of geographic spread. Analysis of read abundances suggests that these avian strains dominate the pool of influenza circulating during the summer months, when typical human-infecting strains are essentially absent. Together, our results expand the value of wastewater sequencing to encompass sensitive tracking of outbreaks within animals in interface regions where human settlement abuts wildlands, increasing overall pandemic preparedness.IMPORTANCEResearchers now commonly search municipal wastewater for viral genetic material, which can indicate trends in the diversity and abundance of strains circulating in communities. Here, we show that under certain conditions, municipal wastewater can also capture the signatures of viruses circulating among animal populations, such as birds. Specifically, we draw on a targeted form of nucleic acid sequencing to discover a strain of influenza that is fairly genetically distinct from known relatives and may be circulating among shorebirds in Northern California. These findings both broaden the possible use cases of wastewater sequencing and provide new insights into avian viruses, some of which can jump host species to make other animals or people sick.

hybrid-capture sequencing↗

Identifying the task variables that predict object assembly difficulty.

OBJECTIVE: We investigated the physical attributes of an object that influence the difficulty of its assembly. Identifying attributes that contribute to assembly difficulty will provide a method for predicting assembly complexity. BACKGROUND: Despite object assembly being a widespread task, there has been insufficient research into information processing and cognition during assembly. The lack of research means that the variables that affect the performance of procedural assembly tasks with illustration-only instructions are unknown. METHOD: In Experiment 1, seven physical characteristics (task variables) of assembly objects were systematically varied in a balanced fractional factorial and orthogonal design to create 16 abstract assemblies, which were assembled by 12 participants (6 men and 6 women aged 18-56). A second experiment (20 participants, 8 men and 12 women aged 18 to 52) involved scaled-down models of 8 real-world assemblies. RESULTS: A clear relationship between the task variables and assembly difficulty was found in both studies, and the regression model from the first experiment was able to predict the assembly difficulty timings in Experiment 2. CONCLUSION: The proposed task variables are associated with assembly difficulty, and the regression analysis has shown four of the task variables to be significant predictors of difficulty. APPLICATION: Applications of this research include the use of the regression model as a tool to evaluate the difficulty of assemblies or assembly steps defined by instructions. The task variables can also be used to produce guidelines to ensure that assemblies or assembly steps are manageable.

Adolescent↗

Identifying the task variables that influence perceived object assembly complexity.

There is a general lack of understanding as to what issues affect assembly task performance when using diagrammatic instructions because few of the task variables contributing to assembly complexity have been identified. Using a task analysis of a range of self-assembly products, seven task variables hypothesized to predict assembly complexity were identified and studied in the instruction comprehension phase of assembly. Experiment 1 took nine real world assembly instructions and described each in terms of the seven task variables. Seventy-two participants gave a subjective rating of assembly difficulty for each assembly, showing a clear relationship between the task variables and perceived assembly difficulty. As real world assemblies provide little control a second experiment used an orthogonal design to systematically vary the values of each of the assembly task variables in 16 abstract assemblies. Forty-two participants compared the 16 assembly instructions to a final assembly. There was a clear relationship between the task variables and the time taken to view the instructions. Further, it was found that it is possible to predict the complexity of assembly tasks based upon the levels of the task variables identified. The task variables identified are a significant step towards identifying the factors that influence assembly complexity, together with providing progress towards a tool for predicting assembly complexity.

Audiovisual Aids↗