260 research outputs found
Potential of Equatorial Atlantic Variability to Enhance El Nino Prediction
Extraordinarily strong El Niño events, such as those of 1982/83 and 1997/98, have been poorly predicted by operational seasonal forecasts made before boreal spring, despite significant advances in understanding, improved models, and enhanced observational networks. The Equatorial Atlantic Zonal Mode – a phenomenon similar to El Niño but much weaker and peaking in boreal summer – impacts winds over the Pacific, and hence affects El Niño, and also potentially its predictability. Here we use a climate model to perform a suite of seasonal predictions with and without SST in the Atlantic restored to observations. We show for the first time that knowledge of Equatorial Atlantic sea surface temperature (SST) significantly improves the prediction across boreal spring of major El Niño events and also weaker variability. This is because Atlantic SST acts to modulate El Niño variability, rather than triggering events. Our results suggest that better prediction of major El Niño events might be achieved through model improvement in the Equatorial Atlantic
The Mu3e experiment: Toward the construction of an HV-MAPS vertex detector
The Mu3e experiment searches for the lepton flavor violating decay with an ultimate aimed sensitivity of 1 event in decays. This goal can only be achieved by reducing the material budget per tracking layer to . High-Voltage Monolithic Active Pixel Sensors (HV-MAPS) which are thinned to 50 μm serve as sensors. Gaseous helium is chosen as coolant.
Results of recent studies related to the sensor prototypes, the helium cooling, and module prototyping are presented. The recent chip submission MuPix10 has proven its functionality regarding efficiency and time resolution. The helium cooling system for the inner tracker could be verified using a full-scale prototype. A complete prototype equipped with MuPix10 chips will be tested inside the Mu3e magnet in summer 2021
The Mu3e experiment: Toward the construction of an HV-MAPS vertex detector
The Mu3e experiment searches for the lepton flavor violating decay
with an ultimate aimed sensitivity of 1 event
in decays. This goal can only be achieved by reducing the material
budget per tracking layer to . High-Voltage Monolithic
Active Pixel Sensors (HV-MAPS) which are thinned to serve as
sensors. Gaseous helium is chosen as coolant.
Results of recent studies related to the sensor prototypes, the helium
cooling, and module prototyping are presented. The recent chip submission
MuPix10 has proven its functionality regarding efficiency and time resolution.
The helium cooling system for the inner tracker could be verified using a
full-scale prototype. A complete prototype equipped with MuPix10 chips will be
tested inside the Mu3e magnet in summer 2021.Comment: Talk presented at the International Workshop on Future Linear
Colliders (LCWS2021), 15-18 March 2021. C21-03-15.
Lower-Third Standardized Letters of Evaluation in Emergency Medicine: Does Gender Make a Difference in Match Outcome?
Objective The purpose of this study was to determine whether gender influences the likelihood of receiving a lowerthird global assessment (GA) on the standardized letter of evaluation (SLOE) submitted as part of the emergency medicine (EM) application process as well as the impact of gender on ultimate match outcomes for applicants receiving a lower-third GA ranking. Our hypothesis was that female applicants with a lowerthird GA ranking have a higher risk of not matching.
Methods We conducted a retrospective cohort study evaluating U.S.-based allopathic applicants to a single EM residency program in the Mid-Atlantic region during the 2017-2018 and 2018-2019 match cycles. GA SLOE rankings and gender for all applicants were extracted and compared to the National Resident Matching Program (NRMP) data for each applicant on match outcome. Comparative analyses were conducted between gender and SLOE GA rankings in order to obtain an odds ratio (OR) of gender and match outcomes.
Results A total of 2,017 SLOEs were reviewed from 798 applicants in the 2018 and 2019 EM match cycles. Overall, 716 (90%) applicants successfully matched in EM, with 82 (10%) applicants failing to match into EM; 277 students had at least one lower-third GA ranking. For all applicants, having at least one lower-third GA ranking was associated with a significant risk of not matching (OR: 0.20; 95% CI: 0.12-0.34). Of the 277 students with at least one lower-third GA ranking, 85 (31%) were female and 192 (69%) were male. Of the female applicants with a lower-third GA ranking, 15 (18%) failed to match in EM, and 39 (20%) of the males failed to match in EM. For applicants with a lower-third GA ranking, female gender alone was not associated with a significantly increased risk of not matching (OR: 1.18; 95% CI: 0.61-2.21).
Conclusions Female applicants receive a lower-third GA ranking less frequently than their male counterparts. One or more lower-third rankings on the GA significantly reduced an applicant’s chances of matching into an EM program. For those with a lower-third GA ranking, female gender alone does not significantly increase the risk of not matching into EM
The ICON-A model for direct QBO simulations on GPUs (version icon-cscs:baf28a514)
Classical numerical models for the global atmosphere, as used for numerical weather forecasting or climate research, have been developed for conventional central processing unit (CPU) architectures. This hinders the employment of such models on current top-performing supercomputers, which achieve their computing power with hybrid architectures, mostly using graphics processing units (GPUs). Thus also scientific applications of such models are restricted to the lesser computer power of CPUs. Here we present the development of a GPU-enabled version of the ICON atmosphere model (ICON-A), motivated by a research project on the quasi-biennial oscillation (QBO), a global-scale wind oscillation in the equatorial stratosphere that depends on a broad spectrum of atmospheric waves, which originates from tropical deep convection. Resolving the relevant scales, from a few kilometers to the size of the globe, is a formidable computational problem, which can only be realized now on top-performing supercomputers. This motivated porting ICON-A, in the specific configuration needed for the research project, in a first step to the GPU architecture of the Piz Daint computer at the Swiss National Supercomputing Centre and in a second step to the JUWELS Booster computer at the Forschungszentrum Jülich. On Piz Daint, the ported code achieves a single-node GPU vs. CPU speedup factor of 6.4 and allows for global experiments at a horizontal resolution of 5 km on 1024 computing nodes with 1 GPU per node with a turnover of 48 simulated days per day. On JUWELS Booster, the more modern hardware in combination with an upgraded code base allows for simulations at the same resolution on 128 computing nodes with 4 GPUs per node and a turnover of 133 simulated days per day. Additionally, the code still remains functional on CPUs, as is demonstrated by additional experiments on the Levante compute system at the German Climate Computing Center. While the application shows good weak scaling over the tested 16-fold increase in grid size and node count, making also higher resolved global simulations possible, the strong scaling on GPUs is relatively poor, which limits the options to increase turnover with more nodes. Initial experiments demonstrate that the ICON-A model can simulate downward-propagating QBO jets, which are driven by wave–mean flow interaction
Cultural differences in postnatal quality of life among German-speaking women - a prospective survey in two countries.
Assessment of quality of life after childbirth is an important health-outcome measurement for new mothers and is of special interest in midwifery. The Mother-Generated Index (MGI) is a validated instrument to assess postnatal quality of life. The tool has not been applied for making a cross-cultural comparison before. This study investigated (a) responses to the MGI in German-speaking women in Germany and Switzerland; and (b) associations between MGI scores on the one hand and maternity and midwifery care on the other
Earth Virtualization Engines -- A Technical Perspective
Participants of the Berlin Summit on Earth Virtualization Engines (EVEs)
discussed ideas and concepts to improve our ability to cope with climate
change. EVEs aim to provide interactive and accessible climate simulations and
data for a wide range of users. They combine high-resolution physics-based
models with machine learning techniques to improve the fidelity, efficiency,
and interpretability of climate projections. At their core, EVEs offer a
federated data layer that enables simple and fast access to exabyte-sized
climate data through simple interfaces. In this article, we summarize the
technical challenges and opportunities for developing EVEs, and argue that they
are essential for addressing the consequences of climate change
Informal and formal reconciliation strategies of older peoples’ working carers: the European carers@work project
Faced with a historically unprecedented process of demographic ageing, many European societies implemented pension reforms in recent years to extend working lives. Although aimed at rebalancing public pension systems, this approach has the unintended side effect that it also extends the number of years in which working carers have to juggle the conflicting demands of employment and caregiving. This not only impinges on working carers’ well-being and ability to continue providing care but also affects European enterprises’ capacity to generate growth which increasingly relies on ageing workforces. The focus of this paper will thus be a cross-national comparison of individual reconciliation strategies and workplace-related company policies aimed at enabling working carers to reconcile both conflicting roles in four different European welfare states: Germany, Italy, Poland, and the United Kingdom
Earth Virtualization Engines (EVE)
To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines is proposed as an international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change
Knowledge translation on dementia: a cluster randomized trial to compare a blended learning approach with a "classical" advanced training in GP quality circles
<p>Abstract</p> <p>Background</p> <p>Thus far important findings regarding the dementia syndrome have been implemented into patients' medical care only inadequately. A professional training accounting for both, general practitioners' (GP) needs and learning preferences as well as care-relevant aspects could be a major step towards improving medical care. In the WIDA-study, entitled "Knowledge translation on dementia in general practice" two different training concepts are developed, implemented and evaluated. Both concepts are building on an evidence-based, GP-related dementia guideline and communicate the guideline's essential insights.</p> <p>Methods/Design</p> <p>Both development and implementation emphasize a procedure that is well-accepted in practice and, thus, can achieve a high degree of external validity. This is particularly guaranteed through the preparation of training material and the fact that general practitioners' quality circles (QC) are addressed. The evaluation of the two training concepts is carried out by comparing two groups of GPs to which several quality circles have been randomly assigned. The primary outcome is the GPs' knowledge gain. Secondary outcomes are designed to indicate the training's potential effects on the GPs' practical actions. In the first training concept (study arm A) GPs participate in a structured case discussion prepared for by internet-based learning material ("blended-learning" approach). The second training concept (study arm B) relies on frontal medical training in the form of a slide presentation and follow-up discussion ("classical" approach).</p> <p>Discussion</p> <p>This paper presents the outline of a cluster-randomized trial which has been peer reviewed and support by a national funding organization – Federal Ministry of Education and Research (BMBF) – and is approved by an ethics commission. The data collection has started in August 2006 and the results will be published independently of the study's outcome.</p> <p>Trial Registration</p> <p>Current Controlled Trials [ISRCTN36550981]</p
- …