Interceptive Actions in Adults and Children

Interceptive actions refer to goal directed movements in which people attempt to make a controlled collision with a moving object (e.g. catching a ball). Because interceptive actions often take place under severe temporal constraints, movements need to be executed with exquisite temporal accuracy and precision. To achieve this the sensorimotor system needs to: (i) accurately predict the motion of the target object, and (ii) move the intercepting effector (e.g. hand, bat) to a location through which the object will pass at just the right time. This presents the sensorimotor system with numerous computational challenges. Examining interceptive timing in adults provides insights into how these challenges are overcome in the developed sensorimotor system, while studying children can reveal how these abilities are acquired and how they are related to the development of other sensorimotor and cognitive processes. The first part of this thesis investigates the control of interceptive timing behaviours in adults. Chapter 3 provides evidence that online sensory information is combined with a-priori knowledge, using Bayesian integration, to optimise movement timing. Chapter 4 demonstrates that adults optimally time their movements to exploit a physical relationship between the speed and temporal precision of their movements. The second part of this thesis then examines interceptive timing abilities in children. Chapter 5 documents the developmental trajectory of interceptive timing abilities over childhood, revealing that performance is still far from adult levels by the time children finish primary school (age 11 years). Chapter 6 tests a common taxonomy of motor skills, revealing that interceptive timing tasks measure a somewhat distinct ‘motor construct’ from that measured by ‘fine’ and ‘gross’ motor tasks. Finally, chapter 7 reveals a relationship between interceptive timing abilities and academic attainment in mathematics, even after controlling for motor skills in other taxonomic domains. Together these experiments shed light on how humans are able to exquisitely time interceptive actions, and provide key insights into the ontogeny of this fundamental motor ability

Tracing the transmission of Scandinavian literature to the UK: 1917-2017

The interest in understanding how books move from a Scandinavian source culture to the British target culture has never been greater. This thesis analyses this buoyant demand by tracing the transmission of Scandinavian literature to Britain and its relationship with the British literary market over the past century. Through a series of case studies, the thesis examines what influences the likelihood of transmission and successful reception in Britain; the position of Scandinavian books in the British literary polysystem; how the transmission of Scandinavian books to Britain differs from the transmission to other polysystems; and how the publication practices of translated books have evolved. This approach is supported by an interdisciplinary framework encompassing translation, literary and sociocultural theories: key theoretical strands utilised are Holmes’ theory of function-oriented Descriptive Translation Studies, Even-Zohar’s polysystem theory, and Heilbron’s sociology of translation. In addition, elements of book history and patronage theory are also applied. The thesis comprises five case studies, spanning the years 1917-2017, of which one is Danish (Peter Høeg’s Miss Smilla’s Feeling for Snow), two are Norwegian (Knut Hamsun’s Growth of the Soil and Agnar Mykle’s four Ash Burlefoot novels), and two are Swedish (Maj Sjöwall and Per Wahlöö’s Martin Beck decalogy, and Stieg Larsson’s Millennium series, now continued by David Lagercrantz). Each of these case studies draws upon a wide range of sources, including newspapers, periodicals, archival materials, interview transcripts, industry statistics, and a range of scholarship, in order to provide comprehensive and contextualised insight into the transmission and reception trajectory of its respective subject, exploring the sociological and literary background to both production and reception. The increasing commercialisation of publishing, and more specifically of translated Scandinavian literature, is explored alongside literary and social changes, with emphasis on the tendency for transmission to be most likely at moments of paradigmatic shift in British society. This is especially reflected in the emergence of genre fiction and hybrid forms of writing during the period in question. Taken in combination, the case studies generate significant and original findings by identifying and analysing overarching trends that cannot be established through examining just one case subject or one source language. They both provide an historical account of Scandinavian literary transmission to Britain during the twentieth and early-twenty- first centuries, and they identify and analyse the significant factors involved in that process. The research offers an enhanced understanding of the contemporary situation of the publication of Scandinavian books in Britain

Variable-Drift Diffusion Models of Pedestrian Road-Crossing Decisions

Peer reviewe

Learning machines for health and beyond

Machine learning techniques are effective for building predictive models because they are good at identifying patterns in large datasets. Development of a model for complex real life problems often stops at the point of publication, proof of concept or when made accessible through some mode of deployment. However, a model in the medical domain risks becoming obsolete as soon as patient demographic changes. The maintenance and monitoring of predictive models post-publication is crucial to guarantee their safe and effective long term use. As machine learning techniques are effectively trained to look for patterns in available datasets, the performance of a model for complex real life problems will not peak and remain fixed at the point of publication or even point of deployment. Rather, data changes over time, and they also changed when models are transported to new places to be used by new demography.Comment: 12 pages, 3 figure

Hitting the target: Mathematical attainment in children is related to interceptive timing ability

Interceptive timing (IntT) is a fundamental ability underpinning numerous actions (e.g. ball catching), but its development and relationship with other cognitive functions remains poorly understood. Piaget (1955) suggested that children need to learn the physical rules that govern their environment before they can represent abstract concepts such as number and time. Thus, learning how objects move in space and time may underpin the development of related abstract representations (i.e. mathematics). To test this hypothesis, we captured objective measures of IntT in 309 primary school children (4-11 years), alongside ‘general motor skill’ and ‘national standardized academic attainment’ scores. Bayesian estimation showed that IntT (but not general motor capability) uniquely predicted mathematical ability even after controlling for age, reading and writing attainment. This finding highlights that interceptive timing is distinct from other motor skills with specificity in predicting childhood mathematical ability independent of other forms of attainment and motor capability

Laparoscopic motor learning and workspace exploration

Background: Laparoscopic surgery requires operators to learn novel complex movement patterns. However, our understanding of how best to train surgeons’ motor skills is inadequate and research is needed to determine optimal laparoscopic training regimes. This difficulty is confounded by variables inherent in surgical practice – e.g. the increasing prevalence of morbidly obese patients presents additional challenges related to restriction of movement due to abdominal wall resistance and reduced intra-abdominal space. The aim of this study was to assess learning of a surgery related task in constrained and unconstrained conditions using a novel system linking a commercially available robotic arm with specialised software creating the novel kinematic assessment tool (Omni-KAT). Methods: We created an experimental tool that records motor performance by linking a commercially available robotic arm with specialised software that presents visual stimuli and objectively measures movement outcome (kinematics). Participants were given the task of generating aiming movements along a horizontal plane to move a visual cursor on a vertical screen. One group received training that constrained movements to the correct plane whilst the other group was unconstrained and could explore the entire ‘action space’. Results: The tool successfully generated the requisite force fields and precisely recorded the aiming movements. Consistent with predictions from structural learning theory, the unconstrained group produced better performance after training as indexed by movement duration (p < .05). Conclusion: The data showed improved performance for participants who explored the entire action space, highlighting the importance of learning the full dynamics of laparoscopic instruments. These findings, alongside the development of the Omni-KAT, open up exciting prospects for better understanding of the learning processes behind surgical training and investigating ways in which learning can be optimised

Methodologies to Understand the Road User Needs When Interacting with Automated Vehicles

Interactions among road users play an important role for road safety and fluent traffic. In order to design appropriate interaction strategies for automated vehicles, observational studies were conducted in Athens (Greece), Munich (Germany), Leeds (UK) and in Rockville, MD (USA). Naturalistic behaviour was studied, as it may expose interesting scenarios not encountered in controlled conditions. Video and LiDAR recordings were used to extract kinematic information of all road users involved in an interaction and to develop appropriate kinematic models that can be used to predict others behaviour or plan the behaviour of an automated vehicle. Manual on-site observations of interactions provided additional behavioural information that may not have been visible via the overhead camera or LiDAR recordings. Verbal protocols were also applied to get a more direct recording of the human thought process. Real-time verbal reports deliver a richness of information that is inaccessible by purely quantitative data but they may pose excessive cognitive workload and remain incomplete. A retrospective commentary was applied in complex traffic environment, which however carries an increased risk of omission, rationalization and reconstruction. This is why it was applied while the participants were watching videos from their eye gaze recording. The commentaries revealed signals and cues used in interactions and in drivers decision-making, that cannot be captured by objective methods. Multiple methods need to be combined, objective and qualitative ones, depending on the specific objectives of each future study. Document type: Part of book or chapter of boo

Ischemic stroke risk, smoking, and the genetics of inflammation in a biracial population: the stroke prevention in young women study

<p>Abstract</p> <p>Background</p> <p>Although cigarette smoking is a well-established risk factor for vascular disease, the genetic mechanisms that link cigarette smoking to an increased incidence of stroke are not well understood. Genetic variations within the genes of the inflammatory pathways are thought to partially mediate this risk. Here we evaluate the association of several inflammatory gene single nucleotide polymorphisms (SNPs) with ischemic stroke risk among young women, further stratified by current cigarette smoking status.</p> <p>Methods</p> <p>A population-based case-control study of stroke among women aged 15–49 identified 224 cases of first ischemic stroke (47.3% African-American) and 211 age-comparable control subjects (43.1% African-American). Several inflammatory candidate gene SNPs chosen through literature review were genotyped in the study population and assessed for association with stroke and interaction with smoking status.</p> <p>Results</p> <p>Of the 8 SNPs (across 6 genes) analyzed, only <it>IL6 </it>SNP rs2069832 (allele C, African-American frequency = 92%, Caucasian frequency = 55%) was found to be significantly associated with stroke using an additive model, and this was only among African-Americans (age-adjusted: OR = 2.2, 95% CI = 1.0–5.0, p = 0.049; risk factor adjusted: OR = 2.5, 95% CI = 1.0–6.5, p = 0.05). When stratified by smoking status, two SNPs demonstrated statistically significant gene-environment interactions. First, the T allele (frequency = 5%) of <it>IL6 </it>SNP rs2069830 was found to be protective among non-smokers (OR = 0.30, 95% CI = 0.11–.082, p = 0.02), but not among smokers (OR = 1.63, 95% CI = 0.48–5.58, p = 0.43); genotype by smoking interaction (p = 0.036). Second, the C allele (frequency = 39%) of <it>CD14 </it>SNP rs2569190 was found to increase risk among smokers (OR = 2.05, 95% CI = 1.09–3.86, p = 0.03), but not among non-smokers (OR = 0.93, 95% CI = 0.62–1.39, p = 0.72); genotype by smoking interaction (p = 0.039).</p> <p>Conclusion</p> <p>This study demonstrates that inflammatory gene SNPs are associated with early-onset ischemic stroke among African-American women (<it>IL6</it>) and that cigarette smoking may modulate stroke risk through a gene-environment interaction (<it>IL6 and CD14</it>). Our finding replicates a prior study showing an interaction with smoking and the C allele of <it>CD14 </it>SNP rs2569190.</p

The european urology residents education programme hands-on training format: 4 years of hands-on training improvements from the European School of Urology

Background: The European School of Urology (ESU) started the European Urology Residents Education Programme (EUREP) in 2003 for final year urology residents, with hands-on training (HOT) added later in 2007. Objective: To assess the geographical reach of EUREP, trainee demographics, and individual quality feedback in relation to annual methodology improvements in HOT. Design, setting, and participants: From September 2014 to October 2017 (four EUREP courses) several new features have been applied to the HOT format of the EUREP course: 1:1 training sessions (2015), fixed 60-min time slots (2016), and standardised teaching methodology (2017). The resulting EUREP HOT format was verified by collecting and prospectively analysing the following data: total number of participants attending different HOT courses; participants’ age; country of origin; and feedback obtained annually. Results and limitations: A total of 796 participants from 54 countries participated in 1450 HOT sessions over the last 4 yr. This included 294 (20%) ureteroscopy (URS) sessions, 237 (16.5%) transurethral resection (TUR) sessions, 840 (58%) basic laparoscopic sessions, and 79 (5.5%) intermediate laparoscopic sessions. While 712 residents (89%) were from Europe, 84 (11%) were from non-European nations. Of the European residents, most came from Italy (16%), Germany (15%), Spain (15%), and Romania (8%). Feedback for the basic laparoscopic session showed a constant improvement in scores over the last 4 yr, with the highest scores achieved last year. This included feedback on improvements in tutor rating (p = 0.017), organisation (p < 0.001), and personal experience with EUREP (p < 0.001). Limitations lie in the difficulties associated with the use of an advanced training curriculum with wet laboratory or cadaveric courses in this format, although these could be performed in other training centres in conjunction with EUREP. Conclusions: The EUREP trainee demographics show that the purpose of the course is being achieved, with excellent feedback reported. While European trainees dominate the demographics, participation from a number of non-European countries suggests continued ESU collaboration with other national societies and wider dissemination of simulation training worldwide.EUREP is supported by educational grant from Olympus.info:eu-repo/semantics/acceptedVersio