450 research outputs found
Wave effect on the trajectory of a high-speed rigid body in a water column
In “Advances in Fluid Mechanics, 8, edited by M. Rahman and C.A. Brebbia, WIT Press (ISSN-1746-4471), 383-39
Infinitesimals without Logic
We introduce the ring of Fermat reals, an extension of the real field
containing nilpotent infinitesimals. The construction takes inspiration from
Smooth Infinitesimal Analysis (SIA), but provides a powerful theory of actual
infinitesimals without any need of a background in mathematical logic. In
particular, on the contrary with respect to SIA, which admits models only in
intuitionistic logic, the theory of Fermat reals is consistent with classical
logic. We face the problem to decide if the product of powers of nilpotent
infinitesimals is zero or not, the identity principle for polynomials, the
definition and properties of the total order relation. The construction is
highly constructive, and every Fermat real admits a clear and order preserving
geometrical representation. Using nilpotent infinitesimals, every smooth
functions becomes a polynomial because in Taylor's formulas the rest is now
zero. Finally, we present several applications to informal classical
calculations used in Physics: now all these calculations become rigorous and,
at the same time, formally equal to the informal ones. In particular, an
interesting rigorous deduction of the wave equation is given, that clarifies
how to formalize the approximations tied with Hook's law using this language of
nilpotent infinitesimals.Comment: The first part of the preprint is taken directly form arXiv:0907.1872
The second part is new and contains a list of example
Using the affective priming paradigm to explore the attitudes underlying walking behaviour
Objectives. Walking is poorly represented in memory, making it difficult to measure
using self-report and even harder to predict. To circumvent this, we used the affective
priming paradigm (Fazio, Sanbonmatsu, Powell, & Kardes, 1986) to assess implicit
attitudes towards walking.
Methods. Royal Air Force trainee aircraftsmen (N ÂĽ 188) wore pedometers for 1
week prior to completing the affective priming paradigm, questionnaire and interview.
The affective priming paradigm involved a computer-based response latency task
containing physical activity words as primes followed by adjectives as targets to be
evaluated. Targets were drawn from two bipolar dichotomies, good–bad (the original
Fazio et al. items) and happy–sad (mood).
Results. Priming for mood items was related to levels of physical activity with high
frequency participants priming for the positive (happy) pole and low frequency
participants priming for the negative (sad). Both groups primed for the negative element
of the Fazio (good–bad) dichotomy. Regarding walking and running, there was no
differentiation on the basis of participation level. Instead, facilitated responses to happy
targets contrasted with inhibited responses to sad targets for both types of locomotion.
There was weak evidence that intentions to run were associated with priming of
positive target items, irrespective of category.
Conclusions. The relationship between implicit attitudes and behaviour is complex.
Whereas implicit attitudes were related to overall exercise participation, they were not
related to the specific activity of walking, despite the behaviour being mainly under
automatic control.</p
Bezlotoxumab for prevention of recurrent Clostridium difficile infection in patients at increased risk for recurrence
Background: Bezlotoxumab is a human monoclonal antibody against Clostridium difficile toxin B indicated to prevent C. difficile infection (CDI) recurrence (rCDI) in adults at high risk for rCDI. This post hoc analysis of pooled monocolonal antibodies for C.difficile therapy (MODIFY) I/II data assessed bezlotoxumab efficacy in participants with characteristics associated with increased risk for rCDI.
Methods: The analysis population was the modified intent-to-treat population who received bezlotoxumab or placebo (n = 1554) by risk factors for rCDI that were prespecified in the statistical analysis plan: age ≥65 years, history of CDI, compromised immunity, severe CDI, and ribotype 027/078/244. The proportion of participants with rCDI in 12 weeks, fecal microbiota transplant procedures, 30-day all cause and CDI-associated hospital readmissions, and mortality at 30 and 90 days after randomization were presented.
Results: The majority of enrolled participants (75.6%) had ≥1 risk factor; these participants were older and a higher proportion had comorbidities compared with participants with no risk factors. The proportion of placebo participants who experienced rCDI exceeded 30% for each risk factor compared with 20.9% among those without a risk factor, and the rCDI rate increased with the number of risk factors (1 risk factor: 31.3%; ≥3 risk factors: 46.1%). Bezlotoxumab reduced rCDI, fecal microbiota transplants, and CDI-associated 30-day readmissions in participants with risk factors for rCDI.
Conclusions: The risk factors prespecified in the MODIFY statistical analysis plan are appropriate to identify patients at high risk for rCDI. While participants with ≥3 risk factors had the greatest reduction of rCDI with bezlotoxumab, those with 1 or 2 risk factors may also benefit.
Clinical Trials Registration: NCT01241552 (MODIFY I) and NCT01513239 (MODIFY II)
Improving ranking for systematic reviews using query adaptation
Identifying relevant studies for inclusion in systematic reviews requires significant effort from human experts who manually screen large numbers of studies. The problem is made more difficult by the growing volume of medical literature and Information Retrieval techniques have proved to be useful to reduce workload. Reviewers are often interested in particular types of evidence such as Diagnostic Test Accuracy studies. This paper explores the use of query adaption to identify particular types of evidence and thereby reduce the workload placed on reviewers. A simple retrieval system that ranks studies using TF.IDF weighted cosine similarity was implemented. The Log-Likelihood, ChiSquared and Odds-Ratio lexical statistics and relevance feedback were used to generate sets of terms that indicate evidence relevant to Diagnostic Test Accuracy reviews. Experiments using a set of 80 systematic reviews from the CLEF2017 and CLEF2018 eHealth tasks demonstrate that the approach improves retrieval performance
The theory of planned behaviour predicts self-reports of walking, but does not predict step count
Objectives This paper compares multiple measures of walking in two studies, and the second study compares how well Theory of Planned Behaviour (TPB) constructs perform in predicting these different measures.
Methods In Study 1, 41 participants wore a New Lifestyles NL-2000 pedometer for 1 week. Subsequently, participants completed a questionnaire containing measures of the TPB constructs and two self-report measures of walking, followed by two interview measures of walking. For Study 2, 200 RAF trainee aircraftsmen wore pedometers for 2 weeks. At the end of each week, participants completed the questionnaire and interview measures of walking.
Results Both studies found no significant association between questionnaire measures of walking and pedometer measures. In Study 1, the interview measures produced significant, large correlations with the pedometer measure, but these relationships were markedly weaker in the second study. TPB variables were found to explain 22% of variance in intention to walk in Study 1 and 45% of the variance in Study 2. In Study 2, prediction of subsequent measures of behaviour was found to be weak, except when using a single-item measure of walking.
Conclusions Recall of walking is poor, and accurate measurement by self-report is problematic. Although the TPB predicts intentions to walk well, it does not predict actual amount of walking, as assessed by pedometer. Possible reasons for these findings include the unique nature of walking as an activity primarily used to facilitate higher order goals. The use of single-item measures may exaggerate the effectiveness of the TPB model for walking, and possibly other forms of physical activity.</p
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