A Novel Packaging of the MEMS Gas Sensors Used for Harsh Outdoor and Human Exhale Sampling Applications.

Dust or condensed water present in harsh outdoor or high-humidity human breath samples are one of the key sources that cause false detection in Micro Electro-Mechanical System (MEMS) gas sensors. This paper proposes a novel packaging mechanism for MEMS gas sensors that utilizes a self-anchoring mechanism to embed a hydrophobic polytetrafluoroethylene (PTFE) filter into the upper cover of the gas sensor packaging. This approach is distinct from the current method of external pasting. The proposed packaging mechanism is successfully demonstrated in this study. The test results indicate that the innovative packaging with the PTFE filter reduced the average response value of the sensor to the humidity range of 75~95% RH by 60.6% compared to the packaging without the PTFE filter. Additionally, the packaging passed the High-Accelerated Temperature and Humidity Stress (HAST) reliability test. With a similar sensing mechanism, the proposed packaging embedded with a PTFE filter can be further employed for the application of exhalation-related, such as coronavirus disease 2019 (COVID-19), breath screening.

Active Transportation, For Who?

Our world has drastically changed since COVID-19 hit in March. Half of the department stores anchoring retail districts have closed permanently. Hotels are projecting occupancies below 20 percent. Student housing, multi-family, and senior housing demand have experienced uncharacteristic, disproportional demand reductions. Increased work from home has reduced the need for office space. Major event venues are closed. Active transportation depends upon people's need to travel. Here, McCourt examines what happens when near-term events etch indelible change in how and what people find a need to travel for.

Impact of Disruption on Ship Emissions in Port: Case of Pandemic in Long Beach

To achieve environmental sustainability on ships, stakeholders should make efforts to reduce emissions. Port authorities are crucial to attain this goal by introducing new policies. This study takes the Port of Long Beach as an example to assess port-wide ship emissions and explain the significance of shore power policy. Additionally, the study considers the impact of disruptions, such as the COVID pandemic, on ship emissions. The analysis compares data from three years before and after the pandemic to examine the relationship between ship waiting times, quantities, and emissions. The findings indicate that the majority of port-wide ship emissions are generated by berthing or anchoring vessels, from ship auxiliary engines and boilers. Furthermore, ship congestion due to reduced port productivity during the pandemic significantly increased emissions from berthing and anchoring vessels, with the emission proportion increasing from 68% to 86%. Adopting the shore power policy has effectively reduced ship emissions in port areas, and increasing the number of ships utilising shore power will be instrumental in tackling excessive ship emissions.

A Study on Real Estate Purchase Decisions

This study examines the influence of joint information framing and personality traits on housing purchase decisions, specifically in the context of the COVID-19 pandemic. Using a between-subjects experimental design, we found that negative framing has a stronger impact on purchase decisions for optimistic participants compared with pessimistic ones. Additionally, high-price anchoring has a greater negative effect on purchase intention for pessimists, while low-price anchoring has a stronger positive effect for optimists. Furthermore, our findings suggest that the low-price real estate market has been less severely impacted by the pandemic than the high-price market. The real estate market seeks to minimize information asymmetry to achieve sustainable and healthy development. These results contribute to creating inclusive, safe, and sustainable cities.

Measuring the personal perspective on work engagement: An empirical exploration of the self-anchoring work engagement scale in Poland

PurposeWork engagement is among the most influential constructs in human resource management, but work engagement's current understanding overlooks what employees consider as engagement. The author aims to advance the human resources theory and practice by discussing the need for understanding engagement from the employee point of view, and the author explores the properties of a self-anchoring work engagement scale – the measure capturing the personal perspective on work engagement.Design/methodology/approachThe author has presented a conceptual discussion providing a rationale for capturing employee personal perspective on work engagement as supplementary to multi-item measures capturing researcher perspective. Based on empirical evidence, the author tests convergent and discriminant validity of self-anchoring work engagement in relation to job resources, job demands and burnout;the author confronts the nomological network of self-anchoring scale with previous work engagement meta-analysis.FindingsThe obtained results provided preliminary evidence supporting convergent and discriminant validity of self-anchoring work engagement. The analysis of the nomological network of self-anchoring work engagement in comparison to the previous meta-analysis revealed that self-anchoring work engagement might be more strongly related to challenging job demands than the multi-item researcher perspective work engagement.Research limitations/implicationsPractical implicationsSocial implicationsOriginality/valueThe author's findings provide a modicum of evidence that asking employees about self-assessment of employees' work engagement on a 0–10 scale provides researchers with access to a freely available measurement method of the personal perception on work engagement.Contribution to impact

The MAX puzzle in a frontier market before and during the Covid-19 pandemic

This study analyses the MAX anomaly in a frontier market before and during the Covid19 pandemic. Our sample has 39,673 firm-month observations of non-financial firms in Vietnam from 2008 to 2021. Using the Carhart four-factor model augmented with MAX anomaly, Fama-Macbeth two-step estimations, and portfolio analyses, we report the persistence of the MAX puzzle in Vietnam before and during the Covid-19 pandemic. The arbitrary returns between the highest and lowest MAX portfolios are around 1% per month. Finally, our results report that the MAX anomaly is subsumed by the IVOL anomaly, while the skewness fails to explain the MAX anomaly. Our findings align with the anchoring theory, prospect theory, and prior literature. Our findings align with the anchoring theory, prospect theory, and prior literature. Our study suggests that policymakers improve market transparency to protect retail investors. [ FROM AUTHOR] Copyright of Investment Analysts Journal is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Desaturation during the pandemic: Covid or cognitive bias?

The coronavirus pandemic has put an unprecedented strain on our health care system. An urgent need for timely and accurate diagnosis coupled with an inordinate caseload and myriad overlapping signs and symptoms with other differentials is leaving physicians fatigued. This often leads to the use of mental shortcuts - "heuristics" by the strained mind and the inadvertent use of intuitive thought processes rather than the more controlled analytical thinking to cope and speed up the decision-making process. Availability bias - making a recent or vivid patient diagnosis more readily accessible to the mind - and anchoring bias - relying too heavily on a single symptom for deducing diagnosis - are among the most prevalent cognitive biases. Therefore, it is not unexpected that any new cases of acute onset respiratory illness may be mis-diagnosed as coronavirus disease 2019 during the pandemic, significantly impacting the morbidity and mortality of true diagnosis. To reduce the risk of patient harm, it is therefore imperative that medical practitioners be aware of the existence and influence of cognitive bias in clinical decision making and maintain sight of a variety of differential diagnoses to ensure that no adverse condition is overlooked.

Historical Touchstones and Imagined Futures During COVID-19 in Aotearoa/New Zealand

During the COVID-19 pandemic to date, particular histories have come to serve as touchstones for the pandemic experience. The specific form this historical imagination takes can be significant as it is likely to shape people's understandings and responses to the pandemic with consequences for official policy, community action and public behaviour. This research examines this imaginative space in Aotearoa/New Zealand's public media during COVID-19, asking what past epidemics have been invoked and how. We conducted a content and thematic analysis of media stories in Aotearoa/NZ from February 2020 to December 2021. This analysis reveals how historical experiences are made meaningful in the context of the present crisis, and how the COVID-19 pandemic has prompted New Zealanders to look back on their histories for lessons and cautionary tales as they imagine possible futures. While the 1918 flu was the most frequent touchstone in both years, the focus of the stories changed, reflecting changes in public health policies. In 2020, the stories mirrored the major public health measures enacted by the government, namely isolation and quarantine requirements and lockdowns. They focused on anchoring the present in past experiences, collectively framing the 'extraordinary' as something more 'ordinary' and thus helping people to cope with the new crisis. In 2021, the focus on Maori populations increased, reflecting the emerging disparities in vaccination rates, as did explicit messaging encouraging vaccination. The sense of urgency grew, with the past providing impetus for present action, to bring about-or avert-particular imagined futures.

A Sensitive Approach to Managing Hypersensitivity Pneumonitis.

Hypersensitivity pneumonitis (HP), also known as extrinsic allergic alveolitis, is an immunologically mediated disorder that typically presents as a case of interstitial lung disease (ILD) in response to any identified or unidentified antigen. We present a case of a 46-year-old female with HP, who presented with fever and shortness of breath. Although negative by real-time reverse transcription-polymerase chain reaction (RT-PCR), her condition was initially diagnosed as COVID-19 clinically as a result of anchoring bias due to similar symptoms and radiologic features presenting in the pandemic. A detailed further probing into history revealed the diagnosis of HP due to cat hair, and hence, was managed accordingly.

The MAX puzzle in a frontier market before and during the Covid-19 pandemic

This study analyses the MAX anomaly in a frontier market before and during the Covid19 pandemic. Our sample has 39,673 firm-month observations of non-financial firms in Vietnam from 2008 to 2021. Using the Carhart four-factor model augmented with MAX anomaly, Fama-Macbeth two-step estimations, and portfolio analyses, we report the persistence of the MAX puzzle in Vietnam before and during the Covid-19 pandemic. The arbitrary returns between the highest and lowest MAX portfolios are around 1% per month. Finally, our results report that the MAX anomaly is subsumed by the IVOL anomaly, while the skewness fails to explain the MAX anomaly. Our findings align with the anchoring theory, prospect theory, and prior literature. Our findings align with the anchoring theory, prospect theory, and prior literature. Our study suggests that policymakers improve market transparency to protect retail investors. [ FROM AUTHOR] Copyright of Investment Analysts Journal is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Risk perception, but also political orientation, modulate behavioral response to COVID-19: A randomized survey experiment.

Prior work has shown that accurately perceiving the risk for COVID-19 is associated with higher adherence to protective health behaviors, like face mask use, and more acceptance of governmental restrictive measures such as partial or complete banning of indoor activities and social gatherings. In this study we explored these associations at the beginning of the second wave of COVID-19 in Argentina through a national representative probabilistic survey that evaluated personal and contextual risk perception, self-reported compliance with protective health behaviors, attitude to governmental restrictive measures, and political orientation and psychological distress as potential modulators. Also, going beyond measures of association, here we sought to test whether messages highlighting potential risks increased acceptance of restrictive measures. Three types of messages were randomized to the participants. Two messages conveyed risk-related content (either through emotional arousal or cognitive appraisal) and the third a prosocial, altruistic content. Between March 29th and 30th, 2021, 2,894 participants were recruited (57.57% female). 74.64% of those surveyed evaluated the current health situation as "quite serious" or "very serious" and 62.03% estimated that the situation will be "worse" or "much worse" in the following 3 months. The perception of personal risk and the level of adherence to protective behaviors gradually increased with age. Through a regression model, age, perceived personal risk, and contextual risk appraisal were the variables most significantly associated with protective behaviors. In the case of the acceptance of restrictive measures, political orientation was the most associated variable. We then found messages aimed at increasing risk perception (both emotionally or cognitively focused) had a significantly greater effect on increasing the acceptance of restrictive measures than the prosocial message, mainly for government supporters but also for non-supporters. However, the level of response was also modulated by the political orientation of the participants. We propose a mechanism of "ideological anchoring" to explain that participants were responsive to risk modulation, but within the limits established by their pre-existent political views. We conclude that messages highlighting risk can help reinforce the acceptance of restrictive measures even in the presence of polarized views, but must be calibrated by age and political orientation.

COVID-19 IN INDIA: REFLECTIONS FROM BEHAVIORAL ECONOMICS

Although both central and state governments in India took the decisions to impose hard paternalistic policies of lockdown/shutdown to manage the spread of COVID-19, new cases were rising even after the first and second waves. Reverse migration, lack of social distancing, and failure to adhere to appropriate covid behavior are attributed as the leading cause of COVID-19 spread. The policy measures like 'Pradhan Mantri Gareeb Kalyan Yojana,' financial assistance, and series of lockdowns and shutdowns by the government of India have not significantly controlledthe spread of disease owing to a lack of understanding of individual's reaction to the pandemic and their reactive behavior. This paper used daily COVID-19 positive cases data to show the overall picture of COVID-19 in India. It used the explorative method to review articles related to behavioral biases involved in the decision-making process of migrant workers and individuals during the pandemic. The paper's findings show that different behavioral biases like base rate neglect, herd behavior, anchoring effect, availability bias are responsible for creating chaos, trauma, and anxiety among the migrant workers and leading to reverse migration in India. Despite knowing that COVID-19 is a fatal disease, some individuals' reaction to it was casual mainly because of hyperbolic discounting bias, optimism bias, overconfidence bias, confirmation bias, status quo bias, and loss aversion. Taking behavioral economics lessons, the paper suggests different nudging techniques for guiding people to maintain social distancing during this pandemic. Nudging has been proved to be an inexpensive tool in bringing desired behavioral changes in health economics. The paper concludes that nudging techniques can influence human behavior to control the spread of the disease. In the end, it gives direction for future work in this area to explore how behavioral economics can help policymakers to tackle the spread of infectious diseases such as COVID-19. [ FROM AUTHOR] Copyright of Journal of Developing Areas is the property of Tennessee State University, College of Business and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Characterizing Anchoring Bias in Vaccine Comparator Selection Due to Health Care Utilization With COVID-19 and Influenza: Observational Cohort Study.

BACKGROUND: Observational data enables large-scale vaccine safety surveillance but requires careful evaluation of the potential sources of bias. One potential source of bias is the index date selection procedure for the unvaccinated cohort or unvaccinated comparison time ("anchoring"). OBJECTIVE: Here, we evaluated the different index date selection procedures for 2 vaccinations: COVID-19 and influenza. METHODS: For each vaccine, we extracted patient baseline characteristics on the index date and up to 450 days prior and then compared them to the characteristics of the unvaccinated patients indexed on (1) an arbitrary date or (2) a date of a visit. Additionally, we compared vaccinated patients indexed on the date of vaccination and the same patients indexed on a prior date or visit. RESULTS: COVID-19 vaccination and influenza vaccination differ drastically from each other in terms of the populations vaccinated and their status on the day of vaccination. When compared to indexing on a visit in the unvaccinated population, influenza vaccination had markedly higher covariate proportions, and COVID-19 vaccination had lower proportions of most covariates on the index date. In contrast, COVID-19 vaccination had similar covariate proportions when compared to an arbitrary date. These effects attenuated, but were still present, with a longer lookback period. The effect of day 0 was present even when the patients served as their own controls. CONCLUSIONS: Patient baseline characteristics are sensitive to the choice of the index date. In vaccine safety studies, unexposed index event should represent vaccination settings. Study designs previously used to assess influenza vaccination must be reassessed for COVID-19 to account for a potentially healthier population and lack of medical activity on the day of vaccination.

A New Approach to Assess Inflation Expectations Anchoring Using Strategic Surveys

We propose a new approach to assess inflation expectations anchoring using “strategic surveys.” Namely, we measure households’ revisions in long-run inflation expectations after they are presented with different economic scenarios. This approach has a causal interpretation and maps directly into policy makers concerns. We implement the method in the summer of 2019 and the spring-summer of 2021 when the anchoring of long-run inflation expectations was questioned. We find that the risk of un-anchoring was reasonably low in both periods, and that long-run inflation expectations were essentially as well anchored in August 2021 as in July 2019, before the Covid-19 pandemic.

The Metaphor of War in Political Discourse on COVID-19 in Uganda

The article examines the use of the metaphor of war in political communication on the novel COVID-19 pandemic in Uganda using two analytical tools of the social representation theory, anchoring and objectification. Drawing data for analysis from six widely televised presidential addresses to the nation on COVID-19 made by Uganda’s president, H.E. Yoweri Kaguta Museveni during the months of March 2020 to September 2020, the article argues that during the time of the COVID-19 pandemic, there was a persistent dominant use of the metaphor of war by government representatives as a rhetorical device to communicate about and to make intelligible an emerging unknown virus as a threat that should be managed through combat behavior. In so doing, the use of the war metaphor and its implied call for combat behavior to control, manage, and eradicate the virus spread engendered consequences such as standardizing hegemonic understanding of the nature and causes of the virus as well as normalizing and legitimizing interventions that the government adopted to manage it. Copyright © 2022 Atuhura.

Reporting on one's behavior: a survey experiment on the nonvalidity of self-reported COVID-19 hygiene-relevant routine behaviors

Surveys based on self-reported hygiene-relevant routine behaviors have played a crucial role in policy responses to the COVID-19 pandemic. In this article, using anchoring to test validity in a randomized controlled survey experiment during the COVID-19 pandemic, we demonstrate that asking people to self-report on the frequency of routine behaviors are prone to significant measurement error and systematic bias. Specifically, we find that participants across age, gender, and political allegiance report higher (lower) frequencies of COVID-19-relevant behaviors when provided with a higher (lower) anchor. The results confirm that such self-reports should not be regarded as behavioral data and should primarily be used to inform policy decisions if better alternatives are not available. To this end, we discuss the use of anchoring as a validity test relative to self-reported behaviors as well as viable alternatives to self-reports when seeking to behaviorally inform policy decisions.

COVID-19 and the Consequences of Anchoring Bias.

Suspicion of coronavirus disease in febrile patients might lead to anchoring bias, causing misdiagnosis of other infections for which epidemiologic risks are present. This bias has potentially severe consequences, illustrated by cases of human granulocytic anaplasmosis and Lyme disease in a pregnant woman and human granulocytic anaplasmosis in another person.

You Only Find What You Look for: Anchor Bias During the COVID-19 Pandemic.

Hypersensitivity pneumonitis (HP) is an immune-mediated syndrome caused by allergen inhalation. High-resolution computed tomography (HRCT) of HP usually shows diffuse ground-glass opacities, but can show centrilobular ground-glass nodules, areas of air-trapping, or fibrotic changes. The clinical presentation of HP as well as the imaging findings can resemble coronavirus disease 2019 (COVID-19) pneumonia. This resemblance, in the absence of a high level of suspicion for other etiologies, led to anchor bias and delayed diagnosis in the case presented here.

Cutaneous and Pulmonary Manifestations: COVID-19 Virus or Coccidioidomycosis?

COVID-19 viral pandemic continues to manifest itself in the form of various clinical symptoms. Due to concerns of COVID-19 in the setting of high rates of false-negative, there is increased likelihood of anchoring bias. We present a case of a 48-year-old white female who presented with two weeks of dry cough and diffuse pruritic nodular cutaneous rash. Patient was exposed to a colleague who tested positive for COVID 19. Initial visits were conducted virtually and workup was negative for COVID-19. Patient was offered supportive care; however, her symptoms continued to worsen. Subsequent workup was positive for left lower lobe nodular opacity on the chest X-ray, follow up CT chest showed demonstrated a focal 3.4 cm infiltrate in the left lower lobe pleural base posteriorly, blood workup was positive for eosinophil count, elevated liver enzymes and positive coccidioides antibody IgG and IgM. This case highlights the importance of avoiding anchoring bias when creating differential diagnoses and triaging patients.