2,496 research outputs found

    An Exploration of User Engagement in HCI

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    Engagement is a concept of the utmost importance in human computer interaction, not only for informing the design and implementation of interfaces, but also for enabling more sophisticated interfaces capable of adapting to users. While the notion of engagement is actively being studied in a diverse set of domains, the term has been used to refer to a number of related, but different concepts. This paper represents a first attempt at exploring a number of important concepts that the term has been used to refer to, of relevance to both human-human and human-machine interaction modelling

    A Complexity View of Rainfall

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    We show that rain events are analogous to a variety of nonequilibrium relaxation processes in Nature such as earthquakes and avalanches. Analysis of high-resolution rain data reveals that power laws describe the number of rain events versus size and number of droughts versus duration. In addition, the accumulated water column displays scale-less fluctuations. These statistical properties are the fingerprints of a self-organized critical process and may serve as a benchmark for models of precipitation and atmospheric processes.Comment: 4 pages, 5 figure

    General practitioners' views on reattribution for patients with medically unexplained symptoms: a questionnaire and qualitative study

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    Background: The successful introduction of new methods for managing medically unexplained symptoms in primary care is dependent to a large degree on the attitudes, experiences and expectations of practitioners. As part of an exploratory randomised controlled trial of reattribution training, we sought the views of participating practitioners on patients with medically unexplained symptoms, and on the value of and barriers to the implementation of reattribution in practice. Methods: A nested attitudinal survey and qualitative study in sixteen primary care teams in north-west England. All practitioners participating in the trial (n = 74) were invited to complete a structured survey. Semi-structured interviews were undertaken with a purposive sub-sample of survey respondents, using a structured topic guide. Interview transcripts were used to identify key issues, concepts and themes, which were grouped to construct a conceptual framework: this framework was applied systematically to the data. Results: Seventy (95%) of study participants responded to the survey. Survey respondents often found it stressful to work with patients with medically unexplained symptoms, though those who had received reattribution training were more optimistic about their ability to help them. Interview participants trained in reattribution (n = 12) reported that reattribution increased their confidence to practice in a difficult area, with heightened awareness, altered perceptions of these patients, improved opportunities for team-building and transferable skills. However general practitioners also reported potential barriers to the implementation of reattribution in routine clinical practice, at the level of the patient, the doctor, the consultation, diagnosis and the healthcare context. Conclusion: Reattribution training increases practitioners' sense of competence in managing patients with medically unexplained symptoms. However, barriers to its implementation are considerable, and frequently lie outside the control of a group of practitioners generally sympathetic to patients with medically unexplained symptoms and the purpose of reattribution. These findings add further to the evidence of the difficulty of implementing reattribution in routine general practice

    The Impact of Operation Bushmaster on Medical Student Decision-making in a High-Stress, Operational Environment.

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    INTRODUCTION: Operation Bushmaster is a high-fidelity military medical field practicum for fourth-year medical students at the Uniformed Services University. During Operation Bushmaster, students treat live-actor and mannequin-based simulated patients in wartime scenarios throughout the five-day practicum. This study explored the impact of participating in Operation Bushmaster on students\u27 decision-making in a high-stress, operational environment, a crucial aspect of their future role as military medical officers. MATERIALS AND METHODS: A panel of emergency medicine physician experts used a modified Delphi technique to develop a rubric to evaluate the participants\u27 decision-making abilities under stress. The participants\u27 decision-making was assessed before and after participating in either Operation Bushmaster (control group) or completing asynchronous coursework (experimental group). A paired-samples t-test was conducted to detect any differences between the means of the participants\u27 pre- and posttest scores. This study was approved by the Institutional Review Board at Uniformed Services University #21-13079. RESULTS: A significant difference was detected in the pre- and posttest scores of students who attended Operation Bushmaster (P \u3c .001), while there was no significant difference in the pre- and posttest scores of students who completed online, asynchronous coursework (P = .554). CONCLUSION: Participating in Operation Bushmaster significantly improved the control group participants\u27 medical decision-making under stress. The results of this study confirm the effectiveness of high-fidelity simulation-based education for teaching decision-making skills to military medical students

    Probing ISM Structure in Trumpler 14 & Carina I Using The Stratospheric Terahertz Observatory 2

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    We present observations of the Trumpler 14/Carina I region carried out using the Stratospheric Terahertz Observatory 2 (STO2). The Trumpler 14/Carina I region is in the west part of the Carina Nebula Complex, which is one of the most extreme star-forming regions in the Milky Way. We observed Trumpler 14/Carina I in the 158 μ\mum transition of [C\,{\sc ii}] with a spatial resolution of 48'' and a velocity resolution of 0.17 km s1^{-1}. The observations cover a 0.25^\circ by 0.28^\circ area with central position {\it l} = 297.34^\circ, {\it b} = -0.60^\circ. The kinematics show that bright [C\,{\sc ii}] structures are spatially and spectrally correlated with the surfaces of CO clouds, tracing the photodissociation region and ionization front of each molecular cloud. Along 7 lines of sight that traverse Tr 14 into the dark ridge to the southwest, we find that the [C\,{\sc ii}] luminosity from the HII region is 3.7 times that from the PDR. In same los we find in the PDRs an average ratio of 1:4.1:5.6 for the mass in atomic gas:dark-CO gas: molecular gas traced by CO. Comparing multiple gas tracers including HI 21cm, [C\,{\sc ii}], CO, and radio recombination lines, we find that the HII regions of the Carina Nebula Complex are well-described as HII regions with one-side freely expanding towards us, consistent with the champagne model of ionized gas evolution. The dispersal of the GMC in this region is dominated by EUV photoevaporation; the dispersal timescale is 20-30 Myr.Comment: ApJ accepte

    Pharmaceutical Digital Design: From Chemical Structure through Crystal Polymorph to Conceptual Crystallization Process

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    A workflow for the digital design of crystallization processes starting from the chemical structure of the active pharmaceutical ingredient (API) is a multistep, multidisciplinary process. A simple version would be to first predict the API crystal structure and, from it, the corresponding properties of solubility, morphology, and growth rates, assuming that the nucleation would be controlled by seeding, and then use these parameters to design the crystallization process. This is usually an oversimplification as most APIs are polymorphic, and the most stable crystal of the API alone may not have the required properties for development into a drug product. This perspective, from the experience of a Lilly Digital Design project, considers the fundamental theoretical basis of crystal structure prediction (CSP), free energy, solubility, morphology, and growth rate prediction, and the current state of nucleation simulation. This is illustrated by applying the modeling techniques to real examples, olanzapine and succinic acid. We demonstrate the promise of using ab initio computer modeling for solid form selection and process design in pharmaceutical development. We also identify open problems in the application of current computational modeling and achieving the accuracy required for immediate implementation that currently limit the applicability of the approach
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