4,117 research outputs found
The Data Quality Monitoring for the CMS Electromagnetic Calorimeter
The detector performance of the CMS electromagnetic calorimeter is monitored using applications based on the CMS Data Quality Monitoring (DQM) framework and running on the High-Level Trigger Farm as well as on local DAQ systems. The monitorable quantities are organized into hierarchical structures based on the physics content. The information produced is accessible by client applications according to their subscription requests. The client applications process the received quantities, according to pre-defined analyses, making the results immediately available, while also storing the results in a database, and in the form of static web pages, for subsequent studies. We describe here the functionalities of the CMS ECAL DQM applications and report about their use in real environments
Towards a More Inclusive Society: The Social Return on Investment (SROI) of an Innovative Ankle–Foot Orthosis for Hemiplegic Children
Hemiplegia is a form of disability that affects one side of the body and has a prevalence of 0.5–0.7 per 1000 live births. It has consequences not only at the medical level but also on psychological, cognitive, and social aspects, and it prevents children from social participation, especially in sports settings. The studies demonstrating the social impact of sports on the hemiplegic population and, in particular, children, are limited. In addition, previous evaluations of healthcare sports initiatives in the hemiplegic population are not available, and traditional methods of evaluation, which are mostly focused on economic outcomes, are not applicable. Thus, this article employs the social return on investment (SROI) methodology, which is able to determine the socio-economic impacts of an initiative, to evaluate the impact of an innovative ankle–foot orthosis (AFO) for hemiplegic children that was created to promote the possibility of “sports for all”. The model was designed with the involvement of stakeholders in all the phases and with mixed methods to assess the input, outcomes, and impact indicators. The final SROI, computed for a time horizon of three years and with a focus on the Lombardy Region, was equal to 3.265:1. Based on this result, the initiative turned out to be worthy of investment
Edge Directionality Improves Learning on Heterophilic Graphs
Graph Neural Networks (GNNs) have become the de-facto standard tool for
modeling relational data. However, while many real-world graphs are directed,
the majority of today's GNN models discard this information altogether by
simply making the graph undirected. The reasons for this are historical: 1)
many early variants of spectral GNNs explicitly required undirected graphs, and
2) the first benchmarks on homophilic graphs did not find significant gain from
using direction. In this paper, we show that in heterophilic settings, treating
the graph as directed increases the effective homophily of the graph,
suggesting a potential gain from the correct use of directionality information.
To this end, we introduce Directed Graph Neural Network (Dir-GNN), a novel
general framework for deep learning on directed graphs. Dir-GNN can be used to
extend any Message Passing Neural Network (MPNN) to account for edge
directionality information by performing separate aggregations of the incoming
and outgoing edges. We prove that Dir-GNN matches the expressivity of the
Directed Weisfeiler-Lehman test, exceeding that of conventional MPNNs. In
extensive experiments, we validate that while our framework leaves performance
unchanged on homophilic datasets, it leads to large gains over base models such
as GCN, GAT and GraphSage on heterophilic benchmarks, outperforming much more
complex methods and achieving new state-of-the-art results
Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses
Predicting the time of failure is a topic of major concern in the field of geological risk management. Several approaches, based on the analysis of displacement monitoring data, have been proposed in recent years to deal with the issue. Among these, the inverse velocity method surely demonstrated its effectiveness in anticipating the time of collapse of rock slopes displaying accelerating trends of deformation rate. However, inferring suitable linear trend lines and deducing reliable failure predictions from inverse velocity plots are processes that may be hampered by the noise present in the measurements; data smoothing is therefore a very important phase of inverse velocity analyses. In this study, different filters are tested on velocity time series from four case studies of geomechanical failure in order to improve, in retrospect, the reliability of failure predictions: Specifically, three major landslides and the collapse of an historical city wall in Italy have been examined. The effects of noise on the interpretation of inverse velocity graphs are also assessed. General guidelines to conveniently perform data smoothing, in relation to the specific characteristics of the acceleration phase, are deduced. Finally, with the aim of improving the practical use of the method and supporting the definition of emergency response plans, some standard procedures to automatically setup failure alarm levels are proposed. The thresholds which separate the alarm levels would be established without needing a long period of neither reference historical data nor calibration on past failure events
Nursing students’ experience of risk assessment, prevention and management: a systematic review
Introduction: As a fundamental dimension of quality, the patient safety and healthcare workers safety in the healthcare environment depend on the ability of each healthcare workers (whether administrators or technicians) to reduce the probability of error. This review focused on nursing students. The aim was to assess level and determinants of knowledge about risk assessment, risk prevention and risk management of nursing students.
Methods: A systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Two reviewers searched the bibliographic databases Pubmed, Scopus and Cinahl to collect all the available articles in English and Italian issued between 2015 and August 2019. To obtain an exhaustive string search, the following keywords were combined through Boolean operators AND and OR: Clinical Risk Assessment, Nursing Education, Nursing Student*, Patient Safety. The authors assessed the quality of the evidence by using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) method.
Results: Twelve papers are included. Although the literature on the nursing student's error is limited, their frequencies are worrying. Some authors have created a model of prevention of clinical error based on three level. However, the majority of nursing students don’t felt confident with a patient safety. Many authors shown that patient safety education was delivery by lecture, laboratory or simulation sessions.
Conclusions: This review underlines the need to revise the nursing curriculum on patient safety and the need to think what educational methodology is the better for the student to create a safe care.  
The New Physics in LILITA_N21: An Improved Description of the Reaction 190 MeV 40Ar + 27Al
In this paper, light charged particle emission in the evaporation residue channel for the 190 MeV 40Ar + 27Al reaction leading to 67Ga composite nuclei at Ex = 91 MeV and angular momentum up to 46 ℏ has been re-analyzed. The main goal was to study the decay of 67Ga on the basis of an extended set of observables in order to provide a description of the evaporative decay cascades using the multistep Monte Carlo approach. The proton and α-particle energy spectra along with their angular distributions and ratios of differential multiplicities have been considered. The measured observables were compared with statistical model calculations. Having used a single-step Monte Carlo approach and standard parameters decades ago, the model does not provide a good description of the full dataset. Only a subset of the data was reproduced by assuming emitting nuclei with very large deformed shapes in a previous work published in the late 1980s. In the reported analysis, better agreement has been observed. Using the new transmission coefficients from the Optical Model, the parameters of which have recently been derived, the multi-step approach and the introduction of a nuclear shape description based on the nuclear stratosphere allowed us to realize a significant improvement
Capsule endoscopy in pediatrics: a 10-years journey.
Video capsule endoscopy (CE) for evaluation the esophagus (ECE), small bowel (SBCE) and the colon (CCE) is particularly useful in pediatrics, because this imaging modality does not require ionizing radiation, deep sedation or general anesthesia. The risk of capsule retention appears to be dependent on indication rather than age and parallels the adult experience by indication, making SBCE a relatively safe procedure with a significant diagnostic yield. The newest indication, assessment of mucosal change, greatly enhances and expands its potential benefit. The diagnostic role of CE extends beyond the SB. The use of ECE also may enhance our knowledge of esophageal disease and assist patient care. Colon CCE is a novel minimally invasive and painless endoscopic technique allowing exploration of the colon without need for sedation, rectal intubation and gas insufflation. The limited data on ECE and CCE in pediatrics does not yet allow the same conclusions regarding efficacy; however, both appear to provide safe methods to assess and monitor mucosal change in their respective areas with little discomfort. Moreover, although experience has been limited, the patency capsule may help lessen the potential of capsule retention; and newly researched protocols for bowel cleaning may further enhance CE's diagnostic yield. However, further research is needed to optimize the use of the various CE procedures in pediatric populations
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