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Copy_of_KHN_ICU_bed_county_analysis_2 for Rural America’s Hospitals are Not Prepared to Protect Older Adults From a Surge in COVID-19 Cases by Natalie M. Davoodi, Margaret Healy and Elizabeth M. Goldberg in Gerontology and Geriatric Medicine

The rapid spread of COVID-19 around the globe has increased the need to adopt autonomous social robots within our healthcare systems. In particular, socially assistive robots can help to improve the day-to-day functioning of our healthcare facilities including long-term care, while keeping residents and staff safe by performing repetitive tasks such as health screening. In this paper, we present the first human-robot interaction study with an autonomous multi-task socially assistive robot used for non-contact screening in long-term care homes. The robot monitors temperature, checks for face masks, and asks screening questions to minimize human-to-human contact. We investigated staff perceptions of 7 attributes: screening experience without and with the robot, efficiency, cognitive attitude, freeing up staff, safety, affective attitude, and intent to use the robot. Furthermore, we investigated the influence of demographics on these attributes. Study results show that, overall, staff rated these attributes high for the screening robot, with a statistically significant increase in cognitive attitude and safety after interacting with the robot. Differences between gender and occupation were also determined. Our study highlights the potential application of an autonomous screening robot for long-term care homes.

Due to COVID-19, remote physics instruction has become ubiquitous. This research examines which practices are highly impactful for creating social connections between teaching assistants and students in synchronous remote settings. We recorded interactions between students and teaching assistants in introductory physics active learning problem solving sessions and coded teaching assistant behaviors for types of social practices (e.g., addressing students by name or expressing empathy about course workload). By administering a validated survey of social alignment to students at the end of their recorded sessions, we were able to determine which practices were most impactful to students��� feelings of social connection with their instructors. The results of this study have implications for training teaching assistants in facilitating remote problem-solving sessions.

Additional file 3: Figure S3. The input interface of dog faeces collection information.

���Experimental Techniques��� is an intermediate laboratory course designed in part to help students decide whether they want to pursue experimental physics. Key to this goal are meaningful opportunities for creative exploration and problem solving which mimic real-world research. Despite the COVID-19 pandemic, by building an interferometer at home using inexpensive department-provided materials, students were afforded opportunities for real creativity while proving that changes in optical path length ��� not just arm length ��� lead to fringe evolution. Though the physics involved was significantly simpler than in other experiments, students developed a better understanding of optical path length and interferometry while being introduced to instrumentation and some of the fundamental skills used by experimentalists in the lab. Members of the class also gained a meaningful sense of accomplishment and excitement. Consequently, we are now considering implementing this experiment as part of the in-person version of the course.

This dataset was constructed by 294 Vietnamese teachers' perspectives on the teaching profession, as well as the support they received from different types of stakeholders during COVID-19. A questionnaire has been spread over 2,500 randomly selected teachers in two major teacher communities on Facebook: MIE Expert Vietnam (38,600 members), and Vietnam Innovative Education Forum (14,000 members).

This dataset contains satellite images of areas of interest surrounding 30 different European airports. It also provides ground-truth annotations of flying airplanes in part of those images to support future research involving flying airplane detection. This dataset is part of the work entitled "Measuring economic activity from space: a case study using flying airplanes and COVID-19" published by the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. It contains modified Sentinel-2 data processed by Euro Data Cube.

Patient Servant Robot in the Pandemic Covid-19

We surveyed a national sample of United States physics faculty about the COVID-19 transition to online learning. The majority of faculty had 1-2 weeks to prepare and no prior experience with teaching online. They relied on department peers to discuss approaches and used lecture adaptations such as videoconferencing rather than new curricular elements. Their responses were empathetic to the students' situation, and 90% said they were average or above at implementing online instruction. Faculty's preference for local resources and existing methods suggests that in a crisis, strong network ties will dominate as information sources, with consequences for professional development and instructional change.

Social robots have been introduced in different fields such as retail, health care and education. Primary education in the Netherlands (and elsewhere) recently faced new challenges because of the COVID-19 pandemic, lockdowns and quarantines including students falling behind and teachers burdened with high workloads. Together with two Dutch municipalities and nine primary schools we are exploring the long-term use of social robots to study how social robots might support teachers in primary education, with a focus on mathematics education. This paper presents an explorative study to define requirements for a social robot math tutor. Multiple focus groups were held with the two main stakeholders, namely teachers and students. During the focus groups the aim was 1) to understand the current situation of mathematics education in the upper primary school level, 2) to identify the problems that teachers and students encounter in mathematics education, and 3) to identify opportunities for deploying a social robot math tutor in primary education from the perspective of both the teachers and students. The results inform the development of social robots and opportunities for pedagogical methods used in math teaching, child-robot interaction and potential support for teachers in the classroom.