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Journal of Engineering Education Transformations ; 36(3):8-17, 2023.
Article in English | Scopus | ID: covidwho-2248176

ABSTRACT

Outcome based education involves a student centric approach. Active participation of students in the classroom plays a significant role in the Outcome Based Education model. This paper explains the use of two active learning techniques viz. 1) Muddiest Point Technique 2) One Minute Paper for three courses taught to third year Mechanical Engineering undergraduate program. The Muddiest Point Technique was used for the course Computer Oriented Numerical Methods (CONM) by using Padlet as a tool to record the conceptual difficulties. One Minute Paper (OMP) was applied to the two courses, Analysis and Synthesis of Mechanisms (ASM) using traditional One Minute Paper and to another course namely Automation and Control Engineering (ACE) using goggle form. Students' responses to the survey questionnaire showed that implementation of these techniques improved overall understanding of the course content. It gives students a chance to communicate their conceptual difficulties without any hesitation. © 2023, Rajarambapu Institute Of Technology. All rights reserved.

2.
5th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions, CSITSS 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1741148

ABSTRACT

Wearing masks has been one of the key methods of preventing the spread of COVID-19. Being able to ensure that the people entering the premises of any institution are wearing masks reduces the risk of the people within those premises to be affected by the virus. This paper describes the approach of taking Google's pre-trained Inception-V3 architecture and using transfer learning to adapt it for mask detection in Indian scenario. The mask detection model was converted to a TFlite version deployable on Raspberry Pi 3 Model B. Pi camera was used for data capture. All hardware chosen and software adaptations were done with the focus of making the model portable and affordable. This model was created with the focus of providing a cost-efficient way to enforce preventive measures during this pandemic. © 2021 IEEE.

5.
Neurology ; 96(15 SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1407854

ABSTRACT

Objective: To determine the immediate impacts of the COVID-19 Shelter-in-Place mandates (SIPM) on utilization of emergency room and inpatient care for patients with neurological diagnoses at pediatric hospitals. Background: The Coronavirus 2019 (COVID-19) pandemic lead to SIPM across the US to decrease transmission and alleviate pressure on healthcare systems, including recommendations to avoid elective hospitalizations. We hypothesized SIPM resulted in decreased hospital encounters for pediatric neurological diagnoses. Design/Methods: This retrospective cross-sectional study included all emergency, urgent-care and inpatient encounters with a neurological primary admission or discharge ICD-10 diagnosis code during the six-weeks post SIPM or same six-week timeframe from the prior three years from five US pediatric institutions. Patient demographics, length of encounter, utilization of neuroimaging, and EEG were extracted from the medical record. Results: Over four years and With in the six-week timeframes there were 20,504 included encounters. During SIPM there was a 51% (p<0.001) reduction in neurological hospital-based encounters. Patients were younger (median 7yrs vs. 5.1yrs, p<0.001), and encounters for African Americans decreased (OR 0.88 CI 0.79-0.98, p=0.02) compared to prior years. During SIPM length of stay increased by one day (median 2 vs. 3 days, p<0.01), and relative utilization of intensive care increased by 66% (p<0.01). Migraine encounters had a relative decrease during SIPM by 47% (12.8%-8.0%, p<0.001). Emergent diagnoses had relative increases, with admissions for TBI increasing 60% (13.5%-21.6%, p<0.001) and status epilepticus 38% (9.1%- 12.62%, p=0.003). Diagnostic testing proportionally increased including: continuous EEG (20%, p<0.01), brain MRI (55%, p<0.001), and head CT (60%, p<0.001). Conclusions: COVID-19 SIPM led to overall decreased utilization of hospital-based care for neurological diagnosis and a relative increase in neurological emergencies, utilization of intensive care, EEG, and neuroimaging. These data support preserved staffing of hospital-based neurological services during SIPM. Further studies are needed to determine the impact of increased imaging, racial disparities, and potentially delayed diagnosis or treatment.

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