1,831 research outputs found
Cooperative Learning Approach to Delivering Professional Modules to Bachelor and Master Students: TPU Experience
Modern tendencies in engineering education set certain requirements on the competences to be obtained. To enable a future engineer to work at a highly competitive level and become an internationally recognized specialist, they must possess advanced English speaking and writing skills. At present most universities introduce educational programs that attract bright domestic and international students to ensure that they are in demand at the global market. The Strategic Program on Competitiveness Enhancement of National Research Tomsk Polytechnic University proposes that modules of professional training should be developed and delivered in English as a language of instruction so that the quality of teaching could be raised. To develop their own approaches to teaching, improve their language proficiency and develop courses and their elements in English, TPU teachers are to meet these challenging requirements and design course documentation and teaching aids, and engage modern teaching approaches in order to ensure high quality work with student groups which are often mixed in their abilities in both professional subjects and language proficiency levels. This paper addresses the course "Professional Training in English" which was developed upon completion of the joint program of TPU and the University of Southampton "Delivering through the Medium of English" and has successfully been delivered to bachelor students with the major "Oil and Gas Engineering" using the cooperative learning approach. The cooperative learning approach has proved to be one of the most successful in terms of teaching professional English to groups of students with mixed abilities
Intrinsic quadrupole moment of the nucleon
We address the question of the intrinsic quadrupole moment Q_0 of the nucleon
in various models. All models give a positive intrinsic quadrupole moment for
the proton. This corresponds to a prolate deformation. We also calculate the
intrinsic quadrupole moment of the Delta(1232). All our models lead to a
negative intrinsic quadrupole moment of the Delta corresponding to an oblate
deformation.Comment: 17 pages, 5 figure
Excessive collagen turnover products are released during colorectal cancer progression and elevated in serum from metastatic colorectal cancer patients
Neural network approximated Bayesian inference of edge electron density profiles at JET
A neural network (NN) has been trained on the inference of the edge electron density profiles from
measurements of the JET lithium beam emission spectroscopy (Li-BES) diagnostic. The novelty of the
approach resides in the fact that the network has been trained to be a fast surrogate model of an existing
Bayesian model of the diagnostic implemented within the Minerva framework. Previous work showed
the very first application of this method to an x-ray imaging diagnostic at the W7-X experiment, and it
was argued that the method was general enough that it may be applied to different physics systems.
Here, we try to show that the claim made there is valid. What makes the approach general and versatile
is the common definition of different models within the same framework. The network is tested on data
measured during several different pulses and the predictions compared to the results obtained with the
full model Bayesian inference. The NN analysis only requires tens of microseconds on a GPU
compared to the tens of minutes long full inference. Finally, in relation to what was presented in the
previous work, we demonstrate an improvement in the method of calculation of the network
uncertainties, achieved by using a state-of-the-art deep learning technique based on a variational
inference interpretation of the network training. The advantage of this calculation resides in the fact that
it relies on fewer assumptions, and no extra computation time is required besides the conventional
network evaluation time. This allows estimating the uncertainties also in real time applications.Comunidad Europea de la Energía Atómica. EURATOM - 2014-2018 y 2019-2020 - 63305
Risk factors for severe outcomes in patients with systemic vasculitis & COVID‐19: a bi‐national registry‐based cohort study
OBJECTIVE: COVID-19 is a novel infectious disease with a broad spectrum of clinical severity. Patients with systemic vasculitis have an increased risk of serious infections and so may be at risk of severe outcomes following COVID-19. It is important to establish the risk factors for severe COVID-19 outcomes in these patients, including the impact of immunosuppressive therapies. METHODS: A multi-centre cohort was developed through the participation of centres affiliated with national UK and Ireland vasculitis registries. Clinical characteristics and outcomes were described. Logistic regression was used to evaluate associations between potential risk factors and severe COVID-19 outcome, defined as a requirement for advanced oxygen therapy, invasive ventilation, or death. RESULTS: Sixty-five cases of patients with systemic vasculitis who developed COVID-19 were reported (median age 70 years, 49% female) of whom 25 (38%) experienced a severe outcome. Most cases (55/65, 85%) had ANCA-associated vasculitis (AAV). Almost all patients required hospitalization (59/65, 91%), 7 patients (11%) were admitted to intensive care and 18 patients (28%) died. Background glucocorticoid therapy was associated with severe outcome (adjusted odds ratio [aOR] 3.7 (1.1-14.9, p=0.047)) as was comorbid respiratory disease (aOR 7.5 (1.9-38.2, p=0.006)). Vasculitis disease activity and non-glucocorticoid immunosuppression were not associated with severe outcome. CONCLUSION: In patients with systemic vasculitis, glucocorticoid use at presentation and comorbid respiratory disease were associated with severe outcomes in COVID-19. These data can inform clinical decision making relating to risk of severe COVID-19 in this vulnerable patient group
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