Series of Conferences最新文献

{"title":"Transformation on the run—Digitising medical education during the COVID-19 pandemic","authors":"Bowman Sara","doi":"10.5555/taps.2021-6-3/gp2430","DOIUrl":"https://doi.org/10.5555/taps.2021-6-3/gp2430","url":null,"abstract":"Introduction: The article is a succinct summary of events and process for emergency digitisation and transition to remote teaching during the COVID- 19 pandemic. The challenges of such transition included the need for enhanced infrastructure facilities, compliance to directives from regulatory bodies, providing an equivalent learning experience in the virtual learning environment (VLE) and ensuring the end user capacity to utilise the VLE created. Methods: To accomplish this task a suitable instructional design and transition model was utilised to create an integrated Moodle and Microsoft Teams platform as the VLE. The curriculum was recreated in the VLE through review of existing infrastructure and resources, deconstructing the demands of the curriculum, reconstructing the learning experiences of curriculum in VLE and innovating to improve. The end user training was also provided using the same VLE created, which ensured capacity building. Virtual Clinical Assessments (VCA) were created to ensure the completion of assessment tasks. Results: The utilisation of the ACTIONS transition model resulted in the evolution of instructional delivery from a Web Enhanced approach to a customised Web Centric approach and implementation of Virtual Clinical Assessments. Students expressed their satisfaction in the learning experience through VLE, but were anxious about their clinical training and connectivity issues. Conclusion: This transition demonstrated the need of future directions in terms of learner readiness to be more self-directed and self-determined, design thinking for transformation to a Web Centric curriculum, faculty readiness to change and develop the competency of Technological Pedagogical Content Knowledge (TPACK).","PeriodicalId":308727,"journal":{"name":"Series of Conferences","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paper Title","authors":"Jean, N. Capdeville, H. Menjyo, Y. Muraki","doi":"10.5555/conferences123","DOIUrl":"https://doi.org/10.5555/conferences123","url":null,"abstract":"A large number of solar protons are accelerated into high energies by solar flares. They are observed as Ground Level Enhancements (GLEs). In previous cosmic ray conferences the percentage increase of cosmic rays induced by solar flares was reported. This was sufficient to describe briefly the effect of solar flares at Earth. However, a problem is encountered if we wish to describe the energy spectra of protons at the Earth. Particle detectors are commonly located at different places on the world, and at different altitudes. The attenuation of neutrons and protons in the atmosphere is therefore different from one detector to another. Corrections need to be made to account for these differences in order to deter mine energy spectra. Monte Carlo calculations performed by Shibata provided atmospheric attenuation curves for neutrons with energies from 50 MeV to 1 GeV. In this paper, we employ the GEANT 4 and CORSIKA Monte Carlo simulation codes to obtain correction data for the analysis of Solar Energetic Particles (SEPs) with energies in the range 100MeV to 1000GeV. Purpose of Monte Carlo simulation Large numbers of particles are accelerated to high energies in solar flares, sometimes beyond 10 GeV. These particles reach Earth and produce Ground Level Enhancements (GLEs). They used to be monitored by the GOES satellite. When we try to deduce the energy spectra of SEPs at the top of the atmosphere, it is necessary to combine data obtained by the GOES satellite with data obtained by neutron monitors at ground levels. A conversion factor of the neutron monitor data is then needed to deduce fluxes at the top of the atmosphere. Neutron monitors are sited at various altitudes observations are often made at different altitudes. Atmospheric attenuation factors of SEPs at various altitudes are therefore required. A good code of Monte Carlo calculations was not made available until recently. This is because the interaction processes of very low energy neutrons in nuclear cascades are complicated. However, the new GEANT 4 code (version 4.6.2.p02) together with the interaction model, QGSP_BERT, is now available with improved simulations of neutron cascade processes at low energies down to a few MeV. It is now possible to deduce initial proton fluxes at the top of the atmosphere with use of these codes. In this paper, we present new results on atmospheric attenuation and compare these with results calculated by CORSIKA. The new results should be useful in future cosmic ray research, especially for understanding SEPs. A valuable catalogue of SEPs was published by Moscow University Press in 1998 [1]. In addition, they were summarized in two books on cosmic rays [2, 3]. IC R C 2007 P rocedings P re-C onrence E dtion PARTICLE COMPOSITION IN THE ATMOSPHERE FOR THE SEP Conditions of calculations and Results We calculated integral spectra of electrons, photons, muons, protons and neutrons for primary incident protons and neutrons with energies 10, 50, 100, 500, and 100","PeriodicalId":308727,"journal":{"name":"Series of Conferences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132108054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}