Architectural Heart 4D Movement MRI for Hemodynamic Evaluation How We Undertake it

This paper is based on the observation that, during Covid-19 epidemic, the choice of which individuals should be tested has an important impact on the effectiveness of selective confinement measures. This decision problem is closely related to the problem of optimal sensor selection, which is a very active research subject in control engineering. The goal of this paper is to propose a policy to smartly select the individuals to be tested. The main idea is to model the epidemics as a stochastic dynamic system and to select the individual to be tested accordingly to some optimality criteria, e.g. to minimize the probability of undetected asymptomatic cases. Every day, the probability of infection of the different individuals is updated making use of the stochastic model of the phenomenon and of the information collected in the previous days. Simulations for a closed community of 10'000 individuals show that the proposed technique, coupled with a selective confinement policy, can reduce the spread of the disease while limiting the number of individuals confined if compared to the simple contact tracing of positive and to an off-line test selection strategy based on the number of contacts.In March 2020, COVID-19 appeared in the State of Maryland, resulting in strict stay-at-home orders and the shutting down of physical business operations. These restrictions directly impacted College Park Academy (CPA), a public charter middle and high school in Prince George's County, MD that typically follows a hybrid approach to in-person and online instruction. The purpose of this qualitative study was to review CPA's transition to full online distance learning during emergency remote teaching. selleck kinase inhibitor The research worked to establish a snapshot of the school's underlying structure and disaster preparedness strategies before evaluating the perceived viability of the online model and its effects on students, teachers, parents, and educational administrators. The researchers conducted interviews, as well as document analysis and online classroom observations. The findings reveal that despite strong infrastructure and communications during the transition, there remained issues with school readiness, including the maintenance of academic rigor and social emotional wellbeing. Overall, recommendations are made as to how the school would benefit from a shift in its approach to technology-enhanced learning, including the need for digital tools that better facilitate wellness checks, provide human touchpoints, and target collaborative, student-centered pedagogy. These lessons learned are relevant for other school administrators to consider as society continues to adapt to a new era of virtual learning during times of crisis.Student satisfaction is of great significance in online learning, but few studies have explored its determinants in emerging countries. This study investigated the determinants of university students' satisfaction with online learning platforms in China through applying the Technology Satisfaction Model during the COVID-19 pandemic, when an unprecedented amount of learning began to take place online due to the closure of educational institutions. A total of 928 students from five universities in four Chinese provinces or municipalities were surveyed through a purposive sampling technique and analyzed through structural equation modeling and the Rasch model. Findings show that Chinese university students' satisfaction with online learning platforms is directly and indirectly impacted by their computer self-efficacy and the perceived ease of use and usefulness of the platforms. Findings also show that regional differences moderate the associations among these components. The current study adds to theoretical, methodical and practical understanding of university students' satisfaction with using online learning platforms, which have been recognized as irreplaceable emergency educational tools.With the advent of COVID-19 arose the need for social distancing measures, including the imposition of far-reaching lockdowns in many countries. The lockdown has wreaked havoc on many aspects of daily life, but education has been particularly hard hit by this unprecedented situation. The closure of educational institutions brought along many changes, including the transition to more technology-based education. This is a systematic literature review that seeks to explore the transition, in the context of the pandemic, from traditional education that involves face-to-face interaction in physical classrooms to online distance education. It examines the ways in which this transition has impacted academia and students and looks at the potential long-term consequences it may have caused. It also presents some of the suggestions made by the studies included in the paper, which may help alleviate the negative impact of lockdown on education and promote a smoother transition to online learning.
The online version contains supplementary material available at 10.1007/s10639-021-10507-1.
The online version contains supplementary material available at 10.1007/s10639-021-10507-1.The current study addressed the impact of computerized dynamic assessment (C-DA) on the TOEFL iBT listening comprehension test administered to Iranian EFL learners (n = 185) who took part in preparation courses on the TOEFL exam in some language centres in Iran. To mediate the test-takers with hints to process the listening questions, a computer software program was developed, and it was meant to produce the following Actual, mediated, and learning potential scores. Findings of the study indicated that the actual and mediated scores led to significant different mean scores in various listening ability levels in almost all question types. Generally, results highlighted the significant positive impact of C-DA on improving EFL test-takers' performances in the monologue and dialogue tasks. Teachers were recommended to implement C-DA since the information gained from this sociocultural assessment mode empowers them to provide learners with more individualized and accordingly more effective teaching and assessment strategies.