EscapeWine!

In the last year, lectures have been forced to adapt teaching to a virtual mode. The loss of face-to-face teaching has generated a detriment in active collaborative learning and has worsened the sharing of concepts. Although gamification has been widely used to improve the quality of teaching and the interest of the students, there is still a need for more interactive alternatives in teaching-learning systems to motivate students in remote lessons. EscapeWine! is an online activity designed for students of the Enology Degree to help them contextualize concepts from different disciplines and to strengthen their transversal skills in a motivating environment while providing the lectures with an online evaluation tool. Students must solve different riddles presented as tasks in Moodle platform to make a high-quality wine and not “get fired.” The results showed that the activity has the potential to be implemented as an innovative environment in virtual lessons.

Pivoting Services: Resilience in the Face of Disruptions in Nonprofit Organizations Caused by COVID-19

The COVID-19 pandemic is an unprecedented global event that has sent shockwaves through every aspect of the economy. The nonprofit sector has been dealt a double hit—relying on donations in a time of economic hardship while being on the frontlines of the response to increased need. Previous studies have shown that COVID-19 has impacted nonprofits in numerous ways; however, the majority of studies have focused on the financial impact. Using a resilience framework, this study adds to the literature by analyzing how nonprofits have dealt with the loss of services, what it has looked like to pivot and adapt to this new environment, and what impact the loss of volunteers has had on organizations. In this qualitative study of 12 nonprofits in the Southeast United States, we find that while the organizations do talk about financial strain, equally as stressful has been the loss of face-to-face services. Nonprofits are used to being on the frontlines of most emergencies, and in this pandemic, many have struggled to keep their workers safe by following health guidelines while also serving their clients. The inability to meet with clients and the stress of pivoting to an online environment is as great or greater of a burden as the financial impact.

Affective life of financial loss: Detaching from lost investments in the wake of the gig economy

How people detach from financial relations is a critical but overlooked dimension of economic life. This paper offers a response by exploring how financial loss is reckoned with in the wake of disruptive digital technological change. It examines the experiences of people who have lost significant financial investments owing to the rise of gig economy rideshare platforms to evaluate how a loss of investment is reckoned with as both a financial and existential challenge. Through fieldwork with owners of taxi licences in Melbourne, Australia, the paper contributes to debates on affective investments within geography and beyond to argue that financial and affective investments are inextricably linked. For these investors, their financial loss precipitates the loss of affective investments expressed in terms of a loss of faith in institutions; a loss of face in terms of public respect; and a loss of conviction in terms of an inability to move forward with their lives. The paper argues that reckoning with these losses involves working on one's active and passive affections—capacities to act and sense. The paper concludes that this work of divestment is difficult and acceptance is not guaranteed.

Impact of COVID-19 pandemic on oncologists’ professional and personal lives: A pre-vaccine study.

45 Background: The COVID-19 pandemic has adversely impacted healthcare workers globally, leading to high rates of burnout, especially among frontline workers. We conducted a study to assess the pandemic’s impact on community-based medical oncologists and hematologists (mO/H) in the U.S. before the widespread distribution of vaccines. Methods: Between October and December 2020, mO/H participated in a compensated, online survey addressing the impact of COVID-19 on oncologists’ professional and personal lives and other issues in oncology; demographic, clinical, and practice-based questions were also asked. Results are presented using descriptive statistics. Results: A total of 259 geographically diverse mO/H, with a median of 18 (1-42) years in practice, completed the survey. At the time of the study, local trends in COVID-19 cases were reported as increasing, stable, or decreasing by 29%, 51%, and 20%, respectively. The summative view of the pandemic was “proud of my work as a physician in the frontlines” (37%), “a challenge to get through” (35%), and “no significant impact” (23%). Over half reported a moderate to severe impact on their professional (60%) and personal lives (65). The top 3 factors adversely impacting professional life were: concern of transmitting COVID-19 to patients or staff (52%), difficulty providing patient care (45%), and loss of income (41%). The top 4 factors adversely impacting personal life were: concerns of safety for self and family (84%), a sense of anxiety (50%), loss of family income (24%), and a sense of depression/doom (22%). Fifty percent agreed or strongly agreed that they had increased burnout at work since the beginning of the pandemic. However, workload was assessed as stable (51%) or reduced (33%) during the pandemic. The top 3 factors contributing to burnout were: loss of face-to-face patient interaction (46%), financial loss by practice (42%), and reduced patient volume (35%). The factors thought to impact income were: use of virtual patients visits (38%), pay cuts from the employer (33%), and cancellation of elective procedures (31%). Overall, 41% reported receiving funds from government-based programs (e.g., CARES act) during the pandemic. While about half (52%) did not believe that the pandemic would impact their retirement, some felt that the pandemic would likely hasten (17%) or delay (17%) their plans to retire. Conclusions: This study confirms greater feelings of burnout among U.S. community-based mO/H in the wake of the pandemic and offers insight into drivers of professional and personal dissatisfaction. While mO/H have concerns about loss of income, notably, loss of in-person patient interaction is also a key factor impacting their professional satisfaction. Given the high baseline rate of burnout among mO/H, it is critical to prevent, mitigate and control additional risks imposed by pandemic-related factors.

“Meet Me Halfway”: The Costs and Benefits of Bargaining

Bargaining is an important pricing mechanism, prevalent in both online and offline markets. However, there is little empirical work documenting the costs and benefits of bargaining, primarily because of the lack of real-world bargaining data. We leverage rich, transaction-level bargaining data from a major online platform and supplement it with primary data to quantify the costs and benefits of bargaining for sellers, buyers, and the platform. We do this by building a structural model of buyer demand and seller pricing decisions while allowing for the existence of bargaining initiation cost, loss-of-face cost, and price discrimination. Using our results, we perform three policy simulations to quantify the importance of not distinguishing between no-bargain and failed-bargain transactions, ignoring the loss-of-face cost, and not allowing for bargaining. These simulations provide rich details on how the various costs of bargaining impact our understanding of buyer and seller behavior and transaction outcomes. Banning bargaining, in particular, benefits the buyer and the platform greatly but only has a modest benefit for sellers. Finally, we show that our results are robust to our assumptions and replicate in another product category.

602 From Laptop to Laparotomy: A Retrospective Evaluation of Virtual Teaching Methods in Surgical Anatomy During COVID-19

Introduction Sound knowledge of anatomy is the cornerstone of safe surgical practice and COVID-19 has created new barriers to universally achieving this standard of education. There has been drastic change to the way in which anatomy education is delivered, with the loss of ‘face-to-face’ and ‘hands-on’ teaching methods creating unique challenges in a subject that relies on students’ understanding of 3-D concepts. Globally, institutions have switched to online learning methods and student experience is vital in shaping this new landscape and optimising resources. Method A retrospective, online survey distributed to a cohort of Year 2 BMBS students after a term of anatomy teaching during COVID. Results 40 students participated in the survey. Qualitative feedback was largely positive towards online learning. Smaller groups and facilitator-led sessions, for example utilising virtual ‘breakout rooms’, were more favourable. Sessions based around clinical scenarios appeared the most popular, followed by those using an online quiz format and then those using virtual dissections on an anatomy app (63%, 39% and 18% of students rating each option respectively as ‘extremely helpful’). Where feedback was negative, themes included a perceived lack of 3-D visual aids or ‘real-life’ anatomy and difficulty navigating the anatomy app used for virtual dissection. Conclusions Small group sessions with a focus on clinical scenarios were the most popular. The ability to visualise structures in 3-D remains an important component of student experience. The challenge lies in simultaneously delivering new anatomical concepts while supporting students to adapt to the new technology that will enable this.

Fear of Evaluation and Online Self-Disclosure on WeChat: Moderating Effects of Protective Face Orientation

Fear of evaluation is a key factor that affects how social media users present themselves to others, but little is known about the effects and mechanisms involved, especially on the relationship between fear of positive evaluation and online self-disclosure. This study explores how fear of evaluation affects online self-disclosure and examines how this relationship is moderated by protective face orientation in the Chinese context. A total of 750 Chinese WeChat users constituted the sample for a questionnaire-based analysis and regression analysis. The results showed that both fear of positive evaluation and fear of negative evaluation had a significant negative effect on the amount of online self-disclosure and a significant positive effect on the depth of online self-disclosure. Protective face orientation had a moderating effect on the relationship between fear of evaluation and online self-disclosure for both the amount and depth of online self-disclosure. Our findings suggest that social network site (SNS) users' fear of evaluation can be attributed to their cognitive attitude toward the external environment, and the loss of face in the Chinese context can be included in the social context.

Caring with a Forced Smile: Emotional Labour Among Private Hospital Nurses in Sri Lanka

Emotional labour among nurses is researched extensively. However, whether nurses in market-oriented, for-profit and customer-focused healthcare contexts performed emotional labour similarly to other nurses is severely underexplored. The minimal research available on this phenomenon have focused on Western for-profit healthcare contexts. Therefore, this article explores how nurses from for-profit healthcare sector performed emotional labour in a non-Western context—Sri Lanka. Using 30 interviews with private hospital nurses, this qualitative study found that scripted and closely managed behaviour routines, being subordinate to patients and their relatives, constant exposure to service recipients’ aggression and minimal organisational support led to a significant sense of powerlessness, loss of face, emotional exhaustion and tit-for-tat exchange of emotions with patients among nurses.

Mask Detection and Tracing System

Covid19 has given a new identity for wearing a mask. It is meaningful when these masked faces are detected accurately and efficiently. As a unique face detection task, face mask detection is much more difficult because of extreme occlusions which leads to the loss of face details. Besides, there is almost no existing large-scale accurately labelled masked face dataset, which increase the difficulty of face mask detection. The system encourages to use CNN-based deep learning algorithms which has done vast progress towards researches in face detection In this paper, we propose novel CNN-based method which is formed of three convolutional neural networks to detect face mask. Besides, because of the shortage of face masked training samples, we propose a new dataset called” face mask dataset” to finetune our CNN models. We evaluate our proposed face mask detection algorithm on the face mask testing set, and it achieves satisfactory performance