1,550 research outputs found

    Why haven’t YOU thought of that? Over 15 great mobile app ideas for improving the quality of life of a young person with type 1 diabetes

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    Introduction The use of mobile devices to look up health-related information is of increasing importance to young people, who have a radically different view of technology than either their parents or practitioners. We explored what young people with type 1 diabetes required from social media and mobile technology by seeking their views and ideas, enabling the eventual design of innovative new tools to help them engage with health services and their own health in their preferred manner. Methods Data collected by semi-structured, in-depth qualitative interviews (n=9) of people with type 1 diabetes aged 18-21. Interviews were transcribed and loaded onto the qualitative data analysis tool NVivo. Baseline data analysis was then undertaken to locate potential ideas for mobile App development. Results Over fifteen innovative new ideas for mobile Apps not currently available were suggested including: • Twitter - contacting other people with type 1 diabetes, an emergency link for contacting the health service and receiving direct messages from clinic staff which would help to personalise diabetes care. • Hypoglycaemia awareness - advice on what to do for friends, family and colleagues who might come into contact with the participant. • Illness information. • News/information on existing/new diabetes technology. Summary We have explored what young people with type 1 diabetes want from social media and mobile technology, so that the design and implementation of new technology to help self-management is more patient-centred, more likely to be used and more likely to improve quality of life

    Reconsidering your perceptions: exploring the lifeworld of a young person with type 1 diabetes

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    Introduction Views of young people with type 1 diabetes are vital in developing quality services, yet research on their lifestyle and use of web and mobile technology to support their condition is sparse. We aimed to develop a deeper understanding of the perspective of a young person with type 1 diabetes and construct a picture of their lifeworld. Methods Data collected by semi-structured, in-depth qualitative interviews (n=9) of people with type 1 diabetes aged 18-21. Interviews were transcribed and loaded onto the qualitative data analysis tool NVivo. Results A number of themes emerged, including: • The effects of technology on living with diabetes. • Use of social media, mobile phones and Apps to obtain information and support. • Feelings about the health services they used. We also uncovered several interesting issues that concern patients in this age group: • Understanding the isolation that young people might feel at this age. • Personal attitudes to type 1 diabetes and initiating improvement. • Fear, discomfort and being seen as different. • Why we might embrace and show negative views of the condition. • Rethinking the use of Facebook. Summary We obtained a deeper and more empathetic understanding of the feelings of young people with type 1 diabetes, and the issues that are important to them. This data will be used to look at local services, producing more effective systems for support and self-management which take into account the feelings of patients and make them more likely to engage with technology

    The development of an innovative mobile phone app for type 1 diabetes alcohol education

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    Introduction Social media is being increasingly used to try and engage young people with their healthcare issues. However, most mobile diabetes applications (Apps) do not include personalised patient education, a key facet of diabetes self-management. We sought the views and ideas of young people with type 1 diabetes to enable the design of innovative new Apps which might help to improve their quality of life. This project highlights an innovative, patient-centric approach to the development and production of a health based mobile App concerning diabetes education about alcohol. Methods Data collected by semi-structured, in-depth qualitative interviews (n=9) of people with type 1 diabetes aged 18-21. Interviews were transcribed and loaded onto the qualitative data analysis tool NVivo. Baseline data analysis was undertaken to locate potential ideas for mobile App development, with suggestions chosen needing to reflect interviewee requirements and to meet clinic goals. Results Interviewees suggested that they would find a guide which could be accessed via a mobile device about alcohol limits and the effects of alcohol on their diabetes particularly useful on a night out. An App about alcohol and diabetes, ‘Start Safe, Stay Safe’, was developed with further input from young people with type 1 diabetes and clinic staff. Summary In developing a mobile App about alcohol and diabetes, we have shown how young people with type 1 diabetes can participate effectively in the design and implementation of new technology which they can then use to improve their quality of life

    Observed flux density enhancement at submillimeter wavelengths during an X-class flare

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    We analyse the 30 October, 2004, X1.2/SF solar event that occurred in AR 10691 (N13 W18) at around 11:44 UT. Observations at 212 and 405 GHz of the Solar Submillimeter Telescope (SST), with high time resolution (5 ms), show an intense impulsive burst followed by a long-lasting thermal phase. EUV images from the Extreme Ultraviolet Imaging Telescope (SOHO/EIT) are used to identify the possible emitting sources. Data from the Radio Solar Telescope Network (RSTN) complement our spectral observations below 15 GHz. During the impulsive phase the turnover frequency is above 15.4 GHz. The long-lasting phase is analysed in terms of thermal emission and compared with GOES observations. From the ratio between the two GOES soft X-ray bands, we derive the temperature and emission measure, which is used to estimate the free-free submillimeter flux density. Good temporal agreement is found between the estimated and observed profiles, however the former is larger than the latter.Comment: 13 pages, 7 figure

    Modeling magnetospheric fields in the Jupiter system

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    The various processes which generate magnetic fields within the Jupiter system are exemplary for a large class of similar processes occurring at other planets in the solar system, but also around extrasolar planets. Jupiter's large internal dynamo magnetic field generates a gigantic magnetosphere, which is strongly rotational driven and possesses large plasma sources located deeply within the magnetosphere. The combination of the latter two effects is the primary reason for Jupiter's main auroral ovals. Jupiter's moon Ganymede is the only known moon with an intrinsic dynamo magnetic field, which generates a mini-magnetosphere located within Jupiter's larger magnetosphere including two auroral ovals. Ganymede's magnetosphere is qualitatively different compared to the one from Jupiter. It possesses no bow shock but develops Alfv\'en wings similar to most of the extrasolar planets which orbit their host stars within 0.1 AU. New numerical models of Jupiter's and Ganymede's magnetospheres presented here provide quantitative insight into the processes that maintain these magnetospheres. Jupiter's magnetospheric field is approximately time-periodic at the locations of Jupiter's moons and induces secondary magnetic fields in electrically conductive layers such as subsurface oceans. In the case of Ganymede, these secondary magnetic fields influence the oscillation of the location of its auroral ovals. Based on dedicated Hubble Space Telescope observations, an analysis of the amplitudes of the auroral oscillations provides evidence that Ganymede harbors a subsurface ocean. Callisto in contrast does not possess a mini-magnetosphere, but still shows a perturbed magnetic field environment. Callisto's ionosphere and atmospheric UV emission is different compared to the other Galilean satellites as it is primarily been generated by solar photons compared to magnetospheric electrons.Comment: Chapter for Book: Planetary Magnetis

    Sleeping trees and sleep-related behaviours of the siamang (Symphalangus syndactylus) in a tropical lowland rainforest, Sumatra, Indonesia

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    Sleeping tree selection and related behaviours of a family group and a solitary female siamang (Symphalangus syndactylus) were investigated over a 5-month period in northern Sumatra, Indonesia. We performed all day follows, sleeping tree surveys and forest plot enumerations in the field. We tested whether: (1) physical characteristics of sleeping trees and the surrounding trees, together with siamang behaviours, supported selection based on predation risk and access requirements; (2) the preferences of a solitary siamang were similar to those of a family group; and (3) sleeping site locations within home ranges were indicative of home range defence, scramble competition with other groups or other species, or food requirements. Our data showed that (1) sleeping trees were tall, emergent trees with some, albeit low, connectivity to the neighbouring canopy, and that they were surrounded by other tall trees. Siamangs showed early entry into and departure from sleeping trees, and slept at the ends of branches. These results indicate that the siamangs’ choice of sleeping trees and related behaviours were strongly driven by predator avoidance. The observed regular reuse of sleeping sites, however, did not support anti-predation theory. (2) The solitary female displayed selection criteria for sleeping trees that were similar to those of the family group, but she slept more frequently in smaller trees than the latter. (3) Siamangs selected sleeping trees to avoid neighbouring groups, monopolise resources (competition), and to be near their last feeding tree. Our findings indicate selectivity in the siamangs’ use of sleeping trees, with only a few trees in the study site being used for this purpose. Any reduction in the availability of such trees might make otherwise suitable habitat unsuitable for these highly arboreal small apes

    Accurate prediction of gene expression by integration of DNA sequence statistics with detailed modeling of transcription regulation

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    Gene regulation involves a hierarchy of events that extend from specific protein-DNA interactions to the combinatorial assembly of nucleoprotein complexes. The effects of DNA sequence on these processes have typically been studied based either on its quantitative connection with single-domain binding free energies or on empirical rules that combine different DNA motifs to predict gene expression trends on a genomic scale. The middle-point approach that quantitatively bridges these two extremes, however, remains largely unexplored. Here, we provide an integrated approach to accurately predict gene expression from statistical sequence information in combination with detailed biophysical modeling of transcription regulation by multidomain binding on multiple DNA sites. For the regulation of the prototypical lac operon, this approach predicts within 0.3-fold accuracy transcriptional activity over a 10,000-fold range from DNA sequence statistics for different intracellular conditions.Comment: 15 pages, 5 figure

    Generation of atom-photon entangled states in atomic Bose-Einstein condensate via electromagnetically induced transparency

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    In this paper, we present a method to generate continuous-variable-type entangled states between photons and atoms in atomic Bose-Einstein condensate (BEC). The proposed method involves an atomic BEC with three internal states, a weak quantized probe laser and a strong classical coupling laser, which form a three-level Lambda-shaped BEC system. We consider a situation where the BEC is in electromagnetically induced transparency (EIT) with the coupling laser being much stronger than the probe laser. In this case, the upper and intermediate levels are unpopulated, so that their adiabatic elimination enables an effective two-mode model involving only the atomic field at the lowest internal level and the quantized probe laser field. Atom-photon quantum entanglement is created through laser-atom and inter-atomic interactions, and two-photon detuning. We show how to generate atom-photon entangled coherent states and entangled states between photon (atom) coherent states and atom-(photon-) macroscopic quantum superposition (MQS) states, and between photon-MQS and atom-MQS states.Comment: 9 pages, 1 figur

    Unique Molecular Identifiers and Multiplexing Amplicons Maximize the Utility of Deep Sequencing To Critically Assess Population Diversity in RNA Viruses

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    Next generation sequencing (NGS)/deep sequencing has become an important tool in the study of viruses. The use of unique molecular identifiers (UMI) can overcome the limitations of PCR errors and PCR-mediated recombination and reveal the true sampling depth of a viral population being sequenced in an NGS experiment. This approach of enhanced sequence data represents an ideal tool to study both high and low abundance drug resistance mutations and more generally to explore the genetic structure of viral populations. Central to the use of the UMI/Primer ID approach is the creation of a template consensus sequence (TCS) for each genome sequenced. Here we describe a series of experiments to validate several aspects of the Multiplexed Primer ID (MPID) sequencing approach using the MiSeq platform. We have evaluated how multiplexing of cDNA synthesis and amplicons affects the sampling depth of the viral population for each individual cDNA and amplicon to understand the relationship between broader genome coverage versus maximal sequencing depth. We have validated reproducibility of the MPID assay in the detection of minority mutations in viral genomes. We have also examined the determinants that allow sequencing reads of PCR recombinants to contaminate the final TCS data set and show how such contamination can be limited. Finally, we provide several examples where we have applied MPID to analyze features of minority variants and describe limits on their detection in viral populations of HIV-1 and SARS-CoV-2 to demonstrate the generalizable utility of this approach with any RNA virus

    What do people do with porn? qualitative research into the consumption, use and experience of pornography and other sexually explicit media

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    This article reviews qualitative research into the consumption of pornography and other sexually explicit media emerging from a range of subject areas. Taking a critique of quantitative methods and a focus on measuring sexual effects and attitudes as a starting point, it considers the proposition that qualitative work is more suited to an examination of the complex social, cultural and political constructions of sexuality. Examining studies into the way men, women and young people see, experience, and use explicit media texts, the article identifies the key findings that have emerged. Qualitative work shows that sexuality explicit media texts are experienced and understood in a variety of ways and evoke strong and often contradictory reactions, not all of which are represented in public debates about pornography. These texts function in a range of different ways, depending on context; as a source of knowledge, a resource for intimate practices, a site for identity construction, and an occasion for performing gender and sexuality. The article reviews these studies and their findings, identifying what they suggest about directions for future research, both in terms of developing methodology and refining approaches to sexuality and media consumption.</p
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