A novel remote hands-on training for neuroendovascular-based treatment in the era of the COVID-19 pandemic

The COVID-19 pandemic has demanded a change in learning modalities, which led us to develop a remote personal training system for clinicians performing neuroendovascular procedures. A portable vascular model designed for practicing catheter navigation guidance, thrombus retrieval, and intracranial aneurysm coil embolisation was established. We created an environment that enabled interactive dialogue and communication across long distances using the Internet. The instructor conducted approximately 2 h of hands-on training with two to four trainees at a time. Despite the restrictions enforced by the Government of Japan due to the COVID-19 pandemic, 17 online hands-on training were successfully conducted throughout Japan over 1 year for a total of 48 trainees. The developed remote training programme, to avoid the aggregation of a large number of trainees at a developed time, proved to be at par with the conventional learning system. The training was well-received since the operation time was longer and the question and answer sessions were more fulfilling compared to the conventional format in which a group of trainees had got a brief opportunity to receive actual hands-on experience.

The use of the X-Plane flight simulator and SimInTech environment in the educational process during the practical lesson "Flight data processing"

During training sessions at an aviation university, it is advisable to demonstrate samples of aviation equipment, individual elements of systems and assemblies, or use specialized stands and posters. However, when conducting classes remotely, not all of these materials can be used, since it is not always possible to show them in dynamics and thus ensure the formation of a clear idea of students about the object being studied. The article considers an example of using a flight simulator in the educational process as a means of visualizing aviation equipment during a practical lesson "Flight data processing". Visual perception of the materials of objective control does not give a complete understanding of the dynamics of the aircraft flight, its attitude while executing pilotage and aerobatics elements, therefore, it is necessary to demonstrate the performance of flight elements with the simultaneous display of flight parameters in a graphical form. For this purpose, the X-Plane flight simulator is used, for interaction with which a project has been developed in the SimInTech environment that implements data exchange for flight control of an aircraft model and registration of parametric information for its further analysis. Schemes for simulating the operation of on-board recording devices are described. The ways of solving the tasks are described. The possibility of using the developed projects for remote training of aviation specialists, as well as the implementation of the results obtained in the educational process of aviation universities, is indicated.

Adaptive Care and Remote Training: Models of Resilience for GWEPs During a Pandemic

Service and training are interconnected for GWEP’s, whose dual missions are to advance training as well as service delivery to improve the care of older adults. The COVID-19 pandemic has necessitated a pivoting from in-person to remote delivery of program content and services. As a result, older adults and their families require the continuity of services with their providers due to the barriers that the pandemic has created. Additionally, universities and organizations have adapted virtually to teach learners how to work with older adults around different health initiatives. The pandemic required these programs to develop immediate services that provided an alternative to remote delivery services. This collection of GWEP programs utilized students and trainees in their older adult services and initiatives. The goal of this symposium is to demonstrate new models of educational and program delivery to enhance and extend training and service to new audiences. The symposium centers on best practices including technological tools to promote GWEP aims and will allow a discussion of challenges and outcomes faced. The session will be comprised of presentations from five university-based, Geriatric Workforce Enhancement Programs (approximately 12 minutes each), a 20 minute discussion and sharing of best practices, and a 10 minute question/answer session. Individual presentations will address areas that include: 1.) group interventions for dementia and caregivers, 2.) teaching interdisciplinary interns in conducting telehealth visits, 3.) adapting geriatrics regional conferences to reach older adults virtually, and 4.) Developing new programs and services for underserved and underrepresented older adult populations.

Adapting Training and Use of an Application for Cognitively Impaired Older Adults Amidst COVID-19

The emergence of COVID-19 and social distancing requirements have resulted in disruptions to daily life, reduced opportunities for social engagement, and diminished resource access for millions of older adults. Individuals with cognitive impairments (CI) are particularly vulnerable to risk for social isolation. This presentation will discuss the PRISM-CI pilot trial, which aims to examine the feasibility and potential efficacy of the PRISM-CI software system on enhancing connectivity and quality of life among a diverse sample of 50 older adults aged 65 and over with a CI. PRISM-CI, adapted from the PRISM system (developed by the Center for Research and Education on Aging and Technology Enhancement) for this population, is intended to support social engagement, memory, and access to resources and information. We will present data regarding the feasibility and perceived value of PRISM-CI and discuss the challenges, and strategies used, to adapt the PRISM-CI trial during the pandemic. We used a multi-modal approach to provide remote training and specialized tablet instruction that includes individualized training sessions tailored to individuals’ learning needs, hobbies, and prior technology use. The adapted protocol also involves the use of remote access software for troubleshooting. We will also discuss how participant feedback guided the inclusion of additional features, such as Zoom videoconferencing and virtual library access, for the PRISM-CI application. Finally, we will demonstrate how the adaptation of the PRISM-CI protocol holds promise for the use of flexible, remote technology approaches to reach socially isolated older adults to foster psychosocial well-being.

Reflecting on over a year of remote training, and where businesses must go from here

Purpose The study aims to explore how businesses across the UK have adapted to over a year of remote training, and where there is room for improvement as long-term hybrid working plans are put in place. The study also uncovers what digital tools businesses have relied on to deliver learning and development initiatives during remote working, and their effects on employee engagement and experience. Design/methodology/approach An independent body of research was commissioned among 750 UK business leaders and 1,235 UK adults in full-time employment. Findings The research found that while the majority of businesses were able to leverage digital solutions during extended periods of remote work, significant numbers found it difficult to train and develop employees remotely, with many employees dissatisfied with the outcomes. Originality/value The research offers some valuable insights for business leaders looking to improve their training schemes as workplaces settle into new patterns of working.

Remote vs. In-person Delivery of LearningRx One-on-One Cognitive Training During the COVID-19 Pandemic: A Non-inferiority Study

The COVID-19 pandemic challenged in-person delivery of cognitive training. Some clinics pivoted to remote delivery for those impacted by lockdowns, illness, or fear of exposure to the virus. However, it was unknown if remote delivery using teleconferencing technology was as effective as in-person delivery. The current study compared the outcomes of remote delivery to in-person delivery of ThinkRx cognitive training during 2020. The sample included 381 child and adult clients from 18 cognitive training centers. One group (n = 178, mean age = 12.3) received traditional in-person delivery of cognitive training. The second group (n = 203, mean age = 11.7) received remote delivery of one-on-one cognitive training via Zoom teleconferencing. Each client was assessed before and after the intervention using the Woodcock Johnson IV Tests of Cognitive Abilities. Clients completed an average of 112 h of cognitive training delivered by a clinician in 90-min sessions 3 or 4 days per week. Paired samples t-tests revealed significant differences from pretest to post-test across all constructs for both groups. After Bonferroni correction, MANOVA revealed no significant difference in changes scores between the two intervention groups on any of the subtests. With very small effect sizes, linear regression analyses indicated that age was a significant predictor of change in working memory and processing speed for the in-person group, and a significant predictor of change in overall IQ score for the teletherapy group. Non-inferiority analyses indicated remote delivery is not inferior to in-person delivery on the primary outcome measure of overall IQ score along with processing speed, fluid reasoning, long-term memory, and visual processing. Although in-person training results were slightly higher than remote training results, the current study reveals remote delivery of cognitive training during COVID-19 was a viable alternative to in-person delivery of cognitive training with little practical differences based on the age of client.

Back to the medical classes-Part I- Strategy for return to the presential practices during COVID-19 pandemics in a Brazilian Medical School

Introduction: In Brazil, practices of medical students have been interrupted due to COVID-19 to meet emergency demands. Aim: To describe a strategy for a controlled return to the presential practices for medical students. Methods: We developed a standardized protocol to be applied before and during the return of the practical classes in medical students of Universidade Federal Fluminense, in the follow months after COVID-19 pandemic beginning. The protocol was comprised in three parts: Remote training on COVID-19 prevention; Face-to-face training focused in COVID-19 prevention, handwashing and personal protective equipment use; Investigation of students COVID-19 status before starting practical activities and weekly monitoring for COVID-19 during seven weeks. The training was done by medical teachers in small groups for medical students of the last lective semester. Results: The classes were interrupted on March 12, 2020 and returned in August 10, 2020. Seventy-one students were trained and followed. The mean age was 26.6 years (26.7 +/- 0.835) and 54% were female. Forty-nine (69%) students over 71 had a private health insurance, 60 (84.5%) shared a house/apartment with one or more person and 12(16.9%) reported a previous comorbidity. Eighteen (25.4%) over 71 reported previous symptoms of COVID-19, being positive in two students. During the follow-up, fourteen (19.7%) over 71 students were placed in quarantine due to signals/symptoms compatible with COVID-19 or contact with symptomatic case. Only two cases (2.8%) were confirmed and occurred in Brazilian epidemiological week 37. Conclusion: The protocol was successful in minimizing COVID-19 acquisition during practical classes of medical students.

Multi-User Drone Flight Training in Mixed Reality

The development of services and applications involving drones is promoting the growth of the unmanned-aerial-vehicle industry. Moreover, the supply of low-cost compact drones has greatly contributed to the popularization of drone flying. However, flying first-person-view (FPV) drones requires considerable experience because the remote pilot views a video transmitted from a camera mounted on the drone. In this paper, we propose a remote training system for FPV drone flying in mixed reality. Thereby, beginners who are inexperienced in FPV drone flight control can practice under the guidance of remote experts.

Self-Learning Pipeline for Low-Energy Resource-Constrained Devices

The trend of bringing machine learning (ML) to the Internet of Things (IoT) field devices is becoming ever more relevant, also reducing the overall energy need of the applications. ML models are usually trained in the cloud and then deployed on edge devices. Most IoT devices generate large amounts of unlabeled data, which are expensive and challenging to annotate. This paper introduces the self-learning autonomous edge learning and inferencing pipeline (AEP), deployable in a resource-constrained embedded system, which can be used for unsupervised local training and classification. AEP uses two complementary approaches: pseudo-label generation with a confidence measure using k-means clustering and periodic training of one of the supported classifiers, namely decision tree (DT) and k-nearest neighbor (k-NN), exploiting the pseudo-labels. We tested the proposed system on two IoT datasets. The AEP, running on the STM NUCLEO-H743ZI2 microcontroller, achieves comparable accuracy levels as same-type models trained on actual labels. The paper makes an in-depth performance analysis of the system, particularly addressing the limited memory footprint of embedded devices and the need to support remote training robustness.

Determining the Readiness Status of University Students in STEM Education and Distance Education Course

This research, Science, Technology, Engineering, Mathematics (STEM) and remote training on information given and university students in STEM, and distance education classes integration on the emphasis and work, STEM and remote training on course to integration on the information given is intended. On the other hand, STEM education and distance education with related re-search support in order to ready distance education presence, levels were in-vestigated. The study was applied during the 2020–2021 fall semester. The quantitative research method was used in the research. This research study comprises groups that have been created by 520 4th grade reading Science In-formation Teacher candidates of universities. University Students ‘STEM and Distance Education Ready presence, Survey’ was applied. Data and survey were collected online. The collected data were analysed using Statistical Package for the Social Sciences software. Research on the results based on students’ training and daily lives for technology support needs that heard, their needs education and their their lives ease it provides to the results, fur-ther STEM and related studies in the literature even more writing space font contribution will provide, also STEM Education ‘ready presence, status, re-mote training ready presence, status on by more high that the result was reached.