Modelling and correcting for the impact of the gait cycle on touch screen typing accuracy

Walking and typing on a smartphone is an extremely common interaction. Previous research has shown that error rates are higher when walking than when stationary. In this paper we analyse the acceleration data logged in an experiment in which users typed whilst walking, and extract the gait phase angle. We find statistically significant relationships between tapping time, error rate and gait phase angle. We then use the gait phase as an additional input to an offset model, and show that this allows more accurate touch interaction for walking users than a model which considers only the recorded tap position

Method51 for mining insight from social media datasets

We present Method51, a social media analysis software platform with a set of accompanying methodologies. We discuss a series of case studies illustrating the platform’s application, and motivating our methodological proposals

Effects of Monovalent and Divalent Cations on the Rheology of Entangled DNA

In this paper we investigate the effects of varying cation valency and concentration on the rheology of entangled lambda DNA solutions. We show that monovalent cations moderately increase the viscoelasticty of the solutions mainly by stabilising linear condensation of lambda DNA ``monomers'' via hybridisation of their sticky ends. On the contrary, divalent cations have a far more complex and dramatic effect on the rheology of the solution and we observe evidence of inter-molecular DNA-DNA bridging by Mg2+. We argue that these results may be interesting in the context of dense solutions of single and double stranded DNA, e.g. in vivo or in biotechnology applications such as DNA origami and DNA hydrogels.Comment: 8 pages, 5 figure

Understanding the substance use of autistic adolescents and adults: a mixed-methods approach.

BACKGROUND: Autistic individuals might be more likely to misuse substances than non-autistic individuals. Better understanding of these patterns can help clinicians identify strategies to reduce substance use, protecting physical and mental health. The aim of this study was to compare the experiences of substance use between autistic and non-autistic adolescents and adults. METHODS: This study is a mixed-methods study, including both quantitative (closed-ended questions) and qualitative (one open-ended question) online assessments. Data were collected as part of a larger study, the Autism and Physical Health Survey, in which we administered an anonymised, online questionnaire to autistic and non-autistic individuals aged 16-90 years. In the present study, we investigated data on substance use or misuse, using two overlapping but separate samples from the survey (one sample with complete quantitative responses and one sample with complete qualitative responses). Binary measures of substance use were investigated using unadjusted and adjusted binomial logistic regression models. Content analysis was used to compare experiences of autistic and non-autistic adolescents and adults. We used Fisher's exact tests to assess differences in frequency of reporting particular qualitative themes and subthemes. FINDINGS: Survey recruitment was done between Feb 7, 2018, and Aug 26, 2019. At the end of the recruitment, 3657 individuals had accessed the survey. After excluding duplicates as well as participants with missing or incomplete responses, we had data from 2386 participants (1183 autistic and 1203 non-autistic participants; 1571 female and 815 male participants) for the quantitative analyses and data from 919 participants (429 autistic and 490 non-autistic participants; 569 female and 350 male participants) in the qualitative analyses. The samples for the quantitative and qualitative analyses were predominantly composed of female individuals, White individuals, UK residents, and those without intellectual disability. Autistic individuals were less likely than non-autistic individuals to report consuming alcohol regularly (16·0% of autistic individuals vs 22·2% of non-autistic individuals; adjusted model: odds ratio [OR] 0·69, 95% CI 0·55-0·86; p=0·0022) or binge-drinking (3·8% vs 8·2%; adjusted model: OR 0·38, 0·26-0·56; p<0·0001). Autistic male participants were less likely than non-autistic male participants to report ever having smoked (50·8% of autistic male participants vs 64·6% of non-autistic male participants; adjusted OR 0·50; 0·32-0·76; p=0·0022) or ever using drugs (35·4% vs 52·7%; adjusted OR 0·53; 0·35-0·80; p=0·0022). Regarding our qualitative analyses, among participants who reported a specific motivation for drug use, compared with non-autistic individuals, autistic individuals were nearly nine times more likely to report using recreational substances to manage behaviour (OR 8·89, 2·05-81·12; p=0·0017) and more likely to report using recreational substances to manage mental health symptoms (OR 3·08, 1·18-9·08; p=0·032). Autistic individuals were also more likely to report vulnerability associated with substance use (OR 4·16, 1·90-10·05; p=0·00027), including childhood use of drugs and being forced or tricked into using drugs. INTERPRETATION: Autistic individuals might be less likely than non-autistic individuals to report engaging in substance misuse. They also report using drugs to self-medicate. Clinicians should be aware of vulnerability linked to substance use among autistic patients and should work cooperatively with patients to effectively manage autistic and comorbid symptoms. FUNDING: Autism Research Trust, Rosetrees Trust, Cambridge and Peterborough NHS Foundation Trust.Autism Research Trust, Cambridge and Peterborough NHS Foundation Trust, Rosetrees Trust, Corbin Charitable Trust, Autistica MRC, ARC-EoE, and Innovative Medicines Initiative 2 Joint Undertakin

An investigation of the diet, exercise, sleep, BMI, and health outcomes of autistic adults.

BackgroundStudies of autistic children suggest that restricted eating, reduced physical activity, and sleep disorders are common; however, no studies attempt to broadly describe the diet, exercise, and sleep patterns of autistic adults or consider relationships between lifestyle behaviors and the widely reported increased risks of obesity and chronic conditions. To address this, the authors developed the largest study of lifestyle patterns of autistic adults and assessed their relationships to body mass index, health outcomes, and family history.MethodsWe administered an anonymized, online survey to n = 2386 adults (n = 1183 autistic) aged 16-90 years of age. We employed Fisher's exact tests and binomial logistic regression to describe diet, exercise, and sleep patterns; mediation of seizure disorders on sleep; body mass index (BMI); relationships of lifestyle factors to BMI, cardiovascular conditions, and diabetic conditions; and sex differences among autistic adults.ResultsAutistic adults, and particularly autistic females, exhibit unhealthy diet, exercise, and sleep patterns; they are also more likely to be underweight or obese. Limited sleep duration and high rates of sleep disturbances cannot be accounted for by epilepsy or seizure disorders. Lifestyle factors are positively related to higher risk of cardiovascular conditions among autistic males, even more than family history.LimitationsOur sample may not be representative of all autistic and non-autistic people, as it primarily comprised individuals who are white, female, have a high school education or higher, and reside in the UK. Our sampling methods may also exclude some individuals on the autism spectrum, and particularly those with moderate to severe intellectual disability. This is a cross-sectional sample that can test for relationships between factors (e.g., lifestyle factors and health outcomes) but cannot assess the direction of these relationships.ConclusionsAutistic adults are less likely to meet minimal health recommendations for diet, exercise, and sleep-and these unhealthy behaviors may relate to excess risk of cardiovascular conditions. Although the present study can only provide preliminary, correlational evidence, our findings suggest that diet, exercise, and sleep should be considered and further investigated as key targets for reducing the now widely reported and dramatically increased risks of health comorbidity and premature death among autistic individuals compared to others. Physicians should work cooperatively with patients to provide health education and develop individualized strategies for how to better manage challenges with diet, exercise, and sleep

An investigation of the diet, exercise, sleep, BMI, and health outcomes of autistic adults.

BackgroundStudies of autistic children suggest that restricted eating, reduced physical activity, and sleep disorders are common; however, no studies attempt to broadly describe the diet, exercise, and sleep patterns of autistic adults or consider relationships between lifestyle behaviors and the widely reported increased risks of obesity and chronic conditions. To address this, the authors developed the largest study of lifestyle patterns of autistic adults and assessed their relationships to body mass index, health outcomes, and family history.MethodsWe administered an anonymized, online survey to n = 2386 adults (n = 1183 autistic) aged 16-90 years of age. We employed Fisher's exact tests and binomial logistic regression to describe diet, exercise, and sleep patterns; mediation of seizure disorders on sleep; body mass index (BMI); relationships of lifestyle factors to BMI, cardiovascular conditions, and diabetic conditions; and sex differences among autistic adults.ResultsAutistic adults, and particularly autistic females, exhibit unhealthy diet, exercise, and sleep patterns; they are also more likely to be underweight or obese. Limited sleep duration and high rates of sleep disturbances cannot be accounted for by epilepsy or seizure disorders. Lifestyle factors are positively related to higher risk of cardiovascular conditions among autistic males, even more than family history.LimitationsOur sample may not be representative of all autistic and non-autistic people, as it primarily comprised individuals who are white, female, have a high school education or higher, and reside in the UK. Our sampling methods may also exclude some individuals on the autism spectrum, and particularly those with moderate to severe intellectual disability. This is a cross-sectional sample that can test for relationships between factors (e.g., lifestyle factors and health outcomes) but cannot assess the direction of these relationships.ConclusionsAutistic adults are less likely to meet minimal health recommendations for diet, exercise, and sleep-and these unhealthy behaviors may relate to excess risk of cardiovascular conditions. Although the present study can only provide preliminary, correlational evidence, our findings suggest that diet, exercise, and sleep should be considered and further investigated as key targets for reducing the now widely reported and dramatically increased risks of health comorbidity and premature death among autistic individuals compared to others. Physicians should work cooperatively with patients to provide health education and develop individualized strategies for how to better manage challenges with diet, exercise, and sleep

Universal and Programmable Thinning and Thickening of Topologically-Active DNA Fluids

Understanding and controlling the rheology of polymeric fluids that are out-of-equilibrium is a fundamental problem in biology and industry. For example, to package, repair, and replicate DNA, cells use enzymes to constantly manipulate DNA topology, length, and structure. Inspired by this impressive feat, we combine experiments with theory and simulations to show that complex fluids of entangled DNA display a rich range of non-equilibrium material properties when undergoing enzymatic reactions that alter their topology and size. We reveal that while enzymatically-active fluids of linear DNA display universal viscous thinning, circular DNA fluids - undergoing the same non-equilibrium process - display thickening with a rate and degree that can be tuned by the DNA and enzyme concentrations. Our results open the way for the topological functionalization of DNA-based materials via naturally occurring enzymes to create a new class of "topologically-active" materials that can autonomously alter their rheological properties in a programmable manner