6,158 research outputs found
Recommended from our members
Early in-bed cycling versus usual care in the ICU on muscle atrophy and mobility: A randomized trial
Impact of birth weight and gender on early postnatal hypothalamic energy balance regulatory gene expression in the young lamb
Peer reviewedPreprin
Polarization of Thermal Emission from Aligned Dust Grains Under an Anisotropic Radiation Field
If aspherical dust grains are immersed in an anisotropic radiation field,
their temperature depends on the cross-sections projected in the direction of
the anisotropy.It was shown that the temperature difference produces polarized
thermal emission even without alignment, if the observer looks at the grains
from a direction different from the anisotropic radiation. When the dust grains
are aligned, the anisotropy in the radiation makes various effects on the
polarization of the thermal emission, depending on the relative angle between
the anisotropy and alignment directions. If the both directions are parallel,
the anisotropy produces a steep increase in the polarization degree at short
wavelengths. If they are perpendicular, the polarization reversal occurs at a
wavelength shorter than the emission peak. The effect of the anisotropic
radiation will make a change of more than a few % in the polarization degree
for short wavelengths and the effect must be taken into account in the
interpretation of the polarization in the thermal emission. The anisotropy in
the radiation field produces a strong spectral dependence of the polarization
degree and position angle, which is not seen under isotropic radiation. The
dependence changes with the grain shape to a detectable level and thus it will
provide a new tool to investigate the shape of dust grains. This paper presents
examples of numerical calculations of the effects and demonstrates the
importance of anisotropic radiation field on the polarized thermal emission.Comment: 13pages, 7figure
3D Reconstruction of the Density Field: An SVD Approach to Weak Lensing Tomography
We present a new method for constructing three-dimensional mass maps from
gravitational lensing shear data. We solve the lensing inversion problem using
truncation of singular values (within the context of generalized least squares
estimation) without a priori assumptions about the statistical nature of the
signal. This singular value framework allows a quantitative comparison between
different filtering methods: we evaluate our method beside the previously
explored Wiener filter approaches. Our method yields near-optimal angular
resolution of the lensing reconstruction and allows cluster sized halos to be
de-blended robustly. It allows for mass reconstructions which are 2-3
orders-of-magnitude faster than the Wiener filter approach; in particular, we
estimate that an all-sky reconstruction with arcminute resolution could be
performed on a time-scale of hours. We find however that linear, non-parametric
reconstructions have a fundamental limitation in the resolution achieved in the
redshift direction.Comment: 11 pages, 6 figures. Accepted for publication in Ap
The NCBO OBOF to OWL Mapping
Two of the most significant formats for biomedical ontologies are the Open Biomedical Ontologies Format (OBOF) and the Web Ontology Language (OWL). To make it possible to translate ontologies between these two representation formats, the National Center for Biomedical Ontology (NCBO) has developed a mapping between the OBOF and OWL formats as well as inter-conversion software. The goal was to allow the sharing of tools, ontologies, and associated data between the OBOF and Semantic Web communities.

OBOF does not have a formal grammar, so the NCBO had to capture its intended semantics to map it to OWL.

This official NCBO mapping was used to make all OBO Foundry ontologies available in OWL. 

Availability: This mapping functionality can be embedded into OBO-Edit and Protégé-OWL ontology editors. This software is available at: http://bioontology.org/wiki/index.php/OboInOwl:Main_Pag
Recommended from our members
Using the Plan-Do-Study-Act cycle to manage interruptions during nursing team leader handover in the intensive care unit: Quality improvement project
Introduction: Intensive care unit (ICU) nursing team leader (TL) handover is a process that is at risk for miscommunication, compromising patient safety. Interruptions during this process have the potential to increase miscommunication. Bedside handover and use of a structured handover tool are two strategies advocated internationally to improve safety of handover.
Study objectives: This quality improvement project employed the Plan-Do-Study-Act (PDSA) cycle to improve handover processes during nursing TL handover, including to reduce interruptions post-implementation of a multidimensional strategy.
Methods: The project was conducted in a 21-bed adult medical/surgical ICU, at a tertiary referral hospital, in Queensland, Australia. All TLs were invited to participate, with consent provided to observe and record process details of handover. Baseline data indicated that TLs experienced frequent interruptions during handover. An audit of the source and reason interruptions occurred informed the development of an intervention that included education sessions focussed on safe handover practices, hands on training using an evidence-based electronic minimum dataset to discuss patient information and the relocation of handovers from the central ICU desk to the bedside. Data were analysed using descriptive statistics (median, IQR, frequency and percentages).
Results: Handovers during the baseline period (n = 40) were conducted at the central desk and attracted 64 interruptions, equivalent to one interruption every 23 min. After implementation of the improvement strategy (n = 49 handovers), 52 interruptions occurred at the bedside, equivalent to one interruption every 29 min. During both the baseline period and post-intervention nurses were the main source to interrupt handovers to exchange greetings with the TL and to discuss patient and organisational updates.
Conclusion: The PDSA provided a structure to understand the problem, develop an improvement strategy and inform future work to effectively manage interruptions during nursing TL handover
Recommended from our members
Barriers and facilitators to the implementation of an evidence-based electronic minimum dataset for nursing team leader handover: A descriptive survey
© 2017 Australian College of Critical Care Nurses Ltd. Introduction: There is widespread use of clinical information systems in intensive care units however, the evidence to support electronic handover is limited. Objectives: The study aim was to assess the barriers and facilitators to use of an electronic minimum dataset for nursing team leader shift-to-shift handover in the intensive care unit prior to its implementation. Methods: The study was conducted in a 21-bed medical/surgical intensive care unit, specialising in cardiothoracic surgery at a tertiary referral hospital, in Queensland, Australia. An established tool was modified to the intensive care nursing handover context and a survey of all 63 nursing team leaders was undertaken. Survey statements were rated using a 6-point Likert scale with selections from 'strongly disagree' to 'strongly agree', and open-ended questions. Descriptive statistics were used to summarise results. Results and discussion: A total of 39 team leaders responded to the survey (62%). Team leaders used general intensive care work unit guidelines to inform practice however they were less familiar with the intensive care handover work unit guideline. Barriers to minimum dataset uptake included: a tool that was not user friendly, time consuming and contained too much information. Facilitators to minimum dataset adoption included: a tool that was user friendly, saved time and contained relevant information. Identifying the complexities of a healthcare setting prior to the implementation of an intervention assists researchers and clinicians to integrate new knowledge into healthcare settings. Conclusion: Barriers and facilitators to knowledge use focused on usability, content and efficiency of the electronic minimum dataset and can be used to inform tailored strategies to optimise team leaders' adoption of a minimum dataset for handover
- …