12 research outputs found
Using USB Devices for Online Document Storage in Worcester Business School
The Worcester Business School (WBS) is migrating from paper-based assignment submission to electronic submission and feedback. Currently, no policies or procedures exist for staff and tutors to effectively manage the administration document storage for this process, thus creating confusion and lack of effectiveness among stakeholders. This project report suggests a method for managing the administration portion of the e-submission/feedback procedure using USB devices for online storage
SNX27–Retromer directly binds ESCPE-1 to transfer cargo proteins during endosomal recycling
Coat complexes coordinate cargo recognition through cargo adaptors with biogenesis of transport carriers during integral membrane protein trafficking. Here, we combine biochemical, structural, and cellular analyses to establish the mechanistic basis through which SNX27-Retromer, a major endosomal cargo adaptor, couples to the membrane remodeling endosomal SNX-BAR sorting complex for promoting exit 1 (ESCPE-1). In showing that the SNX27 FERM (4.1/ezrin/radixin/moesin) domain directly binds acidic-Asp-Leu-Phe (aDLF) motifs in the SNX1/SNX2 subunits of ESCPE-1, we propose a handover model where SNX27-Retromer captured cargo proteins are transferred into ESCPE-1 transport carriers to promote endosome-to-plasma membrane recycling. By revealing that assembly of the SNX27:Retromer:ESCPE-1 coat evolved in a stepwise manner during early metazoan evolution, likely reflecting the increasing complexity of endosome-to-plasma membrane recycling from the ancestral opisthokont to modern animals, we provide further evidence of the functional diversification of yeast pentameric Retromer in the recycling of hundreds of integral membrane proteins in metazoans
The Irish Rover: Phil Lynott and the Search for Identity
Phil Lynott, the lead singer of the rock band Thin Lizzy, was a complex character. An illegitimate black child who grew up in a working-class, Catholic district of Dublin, Ireland in the 1950s, Lynott spent his life searching for a sense of belonging, something which he explored through rock and roll. This study uses Lynott’s song lyrics to investigate his quest for identity. In particular, it identifies the many recurring themes and archetypes in his music that offered multifaceted self-portraits of his internal conflict between being black, Irish, illegitimate, a rockstar, a Lothario, a son, a father, and a husband, all at the same time
Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS Coronavirus Infection Survey
Background: Decisions about the continued need for control measures to contain the spread of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) rely on accurate and up-to-date information about the number of people
testing positive for SARS-CoV-2 and risk factors for testing positive. Existing surveillance systems are generally not
based on population samples and are not longitudinal in design.
Methods: Samples were collected from individuals aged 2 years and older living in private households in England that
were randomly selected from address lists and previous Office for National Statistics surveys in repeated crosssectional household surveys with additional serial sampling and longitudinal follow-up. Participants completed a
questionnaire and did nose and throat self-swabs. The percentage of individuals testing positive for SARS-CoV-2 RNA
was estimated over time by use of dynamic multilevel regression and poststratification, to account for potential
residual non-representativeness. Potential changes in risk factors for testing positive over time were also assessed.
The study is registered with the ISRCTN Registry, ISRCTN21086382.
Findings: Between April 26 and Nov 1, 2020, results were available from 1 191 170 samples from 280327 individuals; 5231
samples were positive overall, from 3923 individuals. The percentage of people testing positive for SARS-CoV-2 changed
substantially over time, with an initial decrease between April 26 and June 28, 2020, from 0·40% (95% credible interval
0·29–0·54) to 0·06% (0·04–0·07), followed by low levels during July and August, 2020, before substantial increases at
the end of August, 2020, with percentages testing positive above 1% from the end of October, 2020. Having a patient facing role and working outside your home were important risk factors for testing positive for SARS-CoV-2 at the end of
the first wave (April 26 to June 28, 2020), but not in the second wave (from the end of August to Nov 1, 2020). Age (young
adults, particularly those aged 17–24 years) was an important initial driver of increased positivity rates in the second
wave. For example, the estimated percentage of individuals testing positive was more than six times higher in those
aged 17–24 years than in those aged 70 years or older at the end of September, 2020. A substantial proportion of
infections were in individuals not reporting symptoms around their positive test (45–68%, dependent on calendar time.
Interpretation: Important risk factors for testing positive for SARS-CoV-2 varied substantially between the part of the
first wave that was captured by the study (April to June, 2020) and the first part of the second wave of increased
positivity rates (end of August to Nov 1, 2020), and a substantial proportion of infections were in individuals not
reporting symptoms, indicating that continued monitoring for SARS-CoV-2 in the community will be important for
managing the COVID-19 pandemic moving forwards
A holistic approach to feature modeling for product line requirements engineering
Requirements engineering (RE) offers the means to discover, model, and manage the requirements of the products that comprise a product line, while software product line engineering (SPLE) offers the means of realizing the products’ requirements from a common base of software assets. In practice, however, RE and SPLE have proven to be less complementary than they should. While some RE techniques, particularly goal modeling, support the exploration of alternative solutions, the appropriate solution is typically conditional on context and a large product line may have many product-defining contexts. Thus, scalability and traceability through into product line features are key challenges for RE. Feature modeling, by contrast, has been widely accepted as a way of modeling commonality and variability of products of a product line that may be very complex. In this paper, we propose a goal-driven feature modeling approach that separates a feature space in terms of problem space and solution space features, and establish explicit mappings between them. This approach contributes to reducing the inherent complexity of a mixed-view feature model, deriving key engineering drivers for developing core assets of a product line, and facilitating the quality-based product configuration