423 research outputs found
Testing the left-handedness of the b \to c transition
We analyse the spin structure of inclusive semileptonic b \to c transitions
and the effects of non-standard model couplings on the rates and the spectra.
The calculation includes the {\cal O} (\alpha_s) corrections as well as the
leading non-perturbative ones.Comment: 15 pages, 3 figure
Development of a probabilistic precipitation-nowcastingapproach at DWD
Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEMET en Madrid del 24 al 26 de abril de 2019
An explicit SU(12) family and flavor unification model with natural fermion masses and mixings
We present an SU(12) unification model with three light chiral families,
avoiding any external flavor symmetries. The hierarchy of quark and lepton
masses and mixings is explained by higher dimensional Yukawa interactions
involving Higgs bosons that contain SU(5) singlet fields with VEVs about 50
times smaller than the SU(12) unification scale. The presented model has been
analyzed in detail and found to be in very good agreement with the observed
quark and lepton masses and mixings.Comment: 11 pages, 4 table
A Clinical Trial
Purpose The aim of this study was the systematic image quality evaluation of
coronary CT angiography (CTA), reconstructed with the 3 different levels of
adaptive iterative dose reduction (AIDR 3D) and compared to filtered back
projection (FBP) with quantum denoising software (QDS). Methods Standard-dose
CTA raw data of 30 patients with mean radiation dose of 3.2 ± 2.6 mSv were
reconstructed using AIDR 3D mild, standard, strong and compared to FBP/QDS.
Objective image quality comparison (signal, noise, signal-to-noise ratio
(SNR), contrast-to-noise ratio (CNR), contour sharpness) was performed using
21 measurement points per patient, including measurements in each coronary
artery from proximal to distal. Results Objective image quality parameters
improved with increasing levels of AIDR 3D. Noise was lowest in AIDR 3D strong
(p≤0.001 at 20/21 measurement points; compared with FBP/QDS). Signal and
contour sharpness analysis showed no significant difference between the
reconstruction algorithms for most measurement points. Best coronary SNR and
CNR were achieved with AIDR 3D strong. No loss of SNR or CNR in distal
segments was seen with AIDR 3D as compared to FBP. Conclusions On standard-
dose coronary CTA images, AIDR 3D strong showed higher objective image quality
than FBP/QDS without reducing contour sharpness
Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers
BACKGROUND: Accurate recording of problems and diagnoses in health records is key to safe and effective patient care, yet it is often done poorly. Electronic health record systems vary in their functionality and ease of use, and are not optimally designed for easy recording and sharing of clinical information. There is a lack of professional consensus and guidance on how problems and diagnoses should be recorded. METHODS: The Professional Record Standards Body commissioned work led by the Royal College of Physicians Health Informatics Unit to carry out a literature review, draft guidance, carry out an online consultation and round table discussion, and produce a report including recommendations for systems. A patient workshop was held to explore patient preferences for mechanisms for sharing diagnosis information between primary and secondary care. RESULTS: Consensus was reached among medical specialties on key elements of diagnosis recording, and draft guidance was produced ready for piloting in a variety of care settings. Patients were keen for better ways for diagnosis information to be shared. DISCUSSION: Improving the recording of diagnoses and problems will require a major effort of which the new guidance is only a part. The guidance needs to be embedded in training, and clinical systems need to have improved, standardised functionality. Front-line clinicians, specialist societies, clinical informaticians and patients need to be engaged in developing information models for diagnoses to support care and research, accessible via user-friendly interfaces
Ego depletion in real-time: an examination of the sequential-task paradigm
Current research into self-control that is based on the sequential task methodology is currently at an impasse. The sequential task methodology involves completing a task that is designed to tax self-control resources which in turn has carry-over effects on a second, unrelated task. The current impasse is in large part due to the lack of empirical research that tests explicit assumptions regarding the initial task. Five studies test one key, untested assumption underpinning strength (finite resource) models of self-regulation: Performance will decline over time on a task that depletes self-regulatory resources. In the aftermath of high profile replication failures using a popular letter-crossing task and subsequent criticisms of that task, the current studies examined whether depletion effects would occur in real time using letter-crossing tasks that did not invoke habit-forming and breaking, and whether these effects were moderated by administration type (paper and pencil vs. computer administration). Sample makeup and sizes as well as response formats were also varied across the studies. The five studies yielded a clear and consistent pattern of increasing performance deficits (errors) as a function of time spent on task with generally large effects and in the fifth study the strength of negative transfer effects to a working memory task were related to individual differences in depletion. These results demonstrate that some form of depletion is occurring on letter-crossing tasks though whether an internal regulatory resource reservoir or some other factor is changing across time remains an important question for future research
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