Public Services: Forced Digitalization in a Pandemic- The Nuances of Management

The aim of the article is to assess the digital transformation quantitatively and qualitatively in the management of public services against the background of the pandemic. The E-Government Development Index (EGDI) analog for evaluating the effectiveness of digital public services was developed. Qualitative and quantitative changes in digital transformation in the management of public services on the background of the pandemic were determined. It was found that no more extensive range of non-mandatory actions aimed at improving the client -oriented nature of public services and communication is observed in the innovative regions of the Russian Federation. It is established that the main transformations are qualitative, as the trend of increasing digitalization of public services was observed even before the pandemic, but during the pandemic the requirements for the expansion of such services, their efficiency, "customer centricity", and communication both within the organization and with users have increased.

Hotel employee resilience during a crisis: conceptual and scale development

This research aims to address the lack of research on hotel employee resilience during a crisis (HERC) and the absence of a measurement scale to assess it. A mixed-method approach was used to conceptualize HERC, identify its dimensions, and build a measurement scale. In Study 1, an online survey of 69 employees from upscale hotels was conducted, revealing a five-factor HERC model comprising resistance, adaptability, cooperation, restoration, and thriving. Study 2 developed preliminary measurement items for HERC, which were refined through exploratory factor analysis (EFA). Study 3 conducted another round of surveys and used a confirmatory factor analysis (CFA) to verify the factors generated from the second study. This research provides a comprehensive five-factor model of employee resilience during a crisis and a corresponding measurement scale, offering a theoretical foundation for hotel managers to develop effective strategies to manage crises. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Trends in Stress Urinary Incontinence Procedures from 2012 to 2020 from the Uda Project

INTRODUCTION AND OBJECTIVE: Stress urinary incontinence (SUI) is a major quality of life problem for many people. In women, SUI is associated with pelvic organ prolapse (POP) and in men after a radical prostatectomy. A safety review started in 2011 by the FDA of POP mesh resulted in the 2019 recall. This study reviews the prevalance and procedure trends for SUI between 2012 to 2020. METHOD(S): Using the 100% Optum Clinformatics Data Mart data and 100% national Medicare Fee-for-Service data, we identified subjects claims for urinary incontinence (UI) and any procedures performed for UI. Results reported as mean +/- standard deviation. RESULT(S): From 2012 - 2020, the mean prevalence of any UI in the 18-64 age group was 37,529 +/- 3292 or 0.62% of the population. In the Medicare population (aged 65+), it was 1,439,221 +/- 90507, or 5.7% of the group. The Female to Male ratio in the <65 yr group was 2.52:1 and in the 65+ was 5.31:1. The Medicare mean SUI prevalence was 212223 +/- 14292 (0.84% population), and the Optum group was 13,179 +/- 1,535 (0.22%).38,677 Medicare patients received procedures for UI in 2012. This increased to 54,122 by 2019, falling to 45,667 during COVID. In 2012, 12,286 patients received SUI procedures, which plateaued at 8,670/yr for 2015 to 2019. In 2020, 6508 patients had a SUI procedure. (Breakdown in Figure 1A). 4020 patients with UI aged 18-64 got a procedure in 2012, which decreased by 45% to 2635 in 2019 with a dip for COVID to 2020. The numbers plateaued from 2014 to 2019 at 2500 patients/yr approximately. The SUI patient numbers for this group decreased from 2501 in 2012 to 967 in 2020, plateaued between 2014 and 2019 at 1250 patients/yr approximately. (Breakdown in Figure 1B) There was a 50% decrease in patients getting sling procedures. Patients obtaining artificial urinary sphincter, and injectables remained constant. Men receiving artificial urinary sphincter, slings, and injectables has remained even in the 65+ age group. However, in the 18-64 age group, men obtaining slings decreased. CONCLUSION(S): The claims prevalence for UI has increased in older age and decreased in younger patients. Sling use has decreased in all female patients and younger men. The overall decrease in procedures for SUI, appears partly due to decreased reporting of incontinence claims in the younger population, together decreased Sling procedures in female patients.

An observational study on the safety of COVID-19 vaccination in patients with myasthenia gravis.

OBJECTIVE: There is concern that the coronavirus disease (COVID-19) vaccine may trigger or worsen autoimmune diseases. The objective of this study was to determine the impacts of COVID-19 vaccination on symptom severity in patients with myasthenia gravis (MG). METHODS: A total of 106 enrolled patients with MG who were vaccinated against COVID-19 were followed up, and a questionnaire was used to document in detail the exacerbation of muscle weakness after vaccination and all other uncomfortable reactions after vaccination. Demographic, clinical characteristics, medication, and vaccination data were collected by follow-up interview. The main observation outcome was whether the MG symptoms of patients were exacerbated. The definition of exacerbation is according to the subjective feeling of the patient or a 2-point increase in daily life myasthenia gravis activity score relative to before vaccination, within 30 days after vaccination. RESULTS: Of 106 enrolled patients [median age (SD) 41.0 years, 38 (35.8%) men, 53 (50.0%) with generalized MG, 74 (69.8%) positive for acetylcholine receptor antibody, and 21 (19.8%) with accompanying thymoma], muscle weakness symptoms were stable in 102 (96.2%) patients before vaccine inoculation. Muscle weakness worsened in 10 (9.4%) people after vaccination, of which 8 patients reported slight symptom worsening that resolved quickly (within a few days). Two (1.9%) of patients showed serious symptom aggravation that required hospitalization. CONCLUSION: Our results suggest that inactivated virus vaccines against COVID-19 may be safe for patients with MG whose condition is stable. Patients with generalized MG may be more likely to develop increased muscle weakness after vaccination.

Metaphor analysis of the COVID-19 public health emergency on Chinese national news media

COVID-19 poses a threat to social stability globally, which requires efficacious governance and public cooperation. To handle the COVID-19 pandemic, the Chinese national news media have mobilized the public to identify and collaborate with the nation. This paper investigates how war, chess, and examination metaphors, nation personification, and metonymies (i.e. the part representing the whole) are utilized in news reports and editorials to achieve the purpose. We adhere to the theoretical framework of Critical Metaphor Analysis and analyze 156 articles that are sourced from Xinhua News Agency and People's Daily from January 22, 2020 to February 13, 2020. Besides demonstrating the specific entailments of these metaphors and metonymies, we also involve scenarios such as the 'Heroic Fight' scenario and the 'Harmonious Family' scenario. Those framing devices function to evoke patriotism and reinforce national identity by activating collective, historical, and cultural memories and evaluating in-group members positively.

Effects of risk messages on tourists' travel intention: Does distance matter?

This study aims to examine how distance to risk center in the COVID-19 context moderates the effects of two contrasting risk message frames (amplifying vs. attenuating) on tourists' post-pandemic travel intention via the mediation of ontological security threat and perceived coping efficacy. Two experiments were designed to test the proposed conceptual model. Results of experiment 1 showed that risk messages predicted tourists' ontological security threat, perceived coping efficacy, and travel intention. Results of experiment 2 showed that ontological security threat and perceived coping efficacy partially mediated the effects of risk messages on travel intention. Moreover, distance to risk center moderated the relationships between risk message frames and travel intention via ontological security threat and perceived coping efficacy, demonstrating different patterns (i.e., "ripple effect”, "psychological typhoon eye effect”, "marginal zone effect”). This study contributes to an enhanced understanding of the effect of risk message framing in the COVID-19 context by clarifying the role of geographic distance, which is beneficial for destinations to adopt differentiated risk communication strategies for different pandemic areas and levels of pandemic severity. © 2023 The Authors

A Quantitative Study to Examine the Comprehensiveness of Palliative Care Consultations During COVID-19 (Sch406)

Outcomes: 1. Evaluate the comprehensiveness of palliative care consultations in different clinical settings and time periods quantitatively by utilizing national consensus project guidelines. 2. Analyze patient sociodemographic and administrative data and palliative care consultation charts to infer variables that predict the comprehensiveness of consultations. Background(s): COVID-19 has caused unprecedented suffering, strained healthcare systems, and jeopardized the well-being of healthcare providers. Few studies exist to characterize how inpatient specialist palliative care (PC) teams managed an increase in demand for consultations while maintaining the quality of their service. Objective(s): This quantitative study aims to: (1) examine the comprehensiveness of inpatient PC consultations conducted from 2019 through 2022 at a tertiary academic hospital in Toronto, Canada, and (2) assess the predictors of comprehensiveness of PC consultations. Method(s): We are conducting a retrospective cohort study examining a 33% random sample of inpatient palliative care consultation notes (n=600) completed for adult (>18 years old) inpatients at Mount Sinai Hospital between January 1, 2019, and July 1, 2022. Our definition of comprehensiveness is informed by a recent publication addressing necessary clinical domains (eg, performing a spiritual history, code status discussion) in a palliative care assessment. We will code each inpatient palliative care consult note for the completion of individual clinical domains using template analysis. We will dual code a random selection of 10% of the transcripts to evaluate interrater reliability. Informed by Andersen's behavioral model for health services utilization, we will sociodemographic (age, gender, rurality, English language proficiency) and clinical pathophysiological variables (primary diagnosis, referral service, reason for referral, disposition, etc.) from the consult notes and linked administrative data. We will calculate frequencies and distributions of all study variables and use multiple linear regressions to examine predictors of comprehensiveness of PC consultations. Conclusion(s): This study will provide novel data on the clinical work completed by inpatient palliative care clinicians during the COVID-19 pandemic. The data will offer critical insights into how palliative care clinicians prioritize clinical domains during initial assessments of inpatients with varying sociodemographic and clinical backgrounds.Copyright © 2023

Pandemic and insurance purchase: How do people respond to unprecedented risk and uncertainty?

We investigate how people insure themselves against an upsurge of risk and uncertainty during a pandemic. Using high-frequency, city-level insurance purchases data from the largest online insurance platform in China, we employ difference-in-differences strategies to quantify changes in insurance purchases before and after the COVID-19 outbreak relative to a corresponding period in 2019. We show that the pandemic induces a substantial increase in daily number of insurance purchase, with evident impact on both health and life insurance. We demonstrate that the increase mainly originates from an expanded number of consumers;and is not driven by compositional shifts. Particularly, we show that the observed increase is better explained by pandemic risk exposure than other mechanisms such as negative emotions and insurance awareness. Nevertheless, there is a notable discrepancy between changes in insurance purchases and COVID-19 risk exposure, which is driven by individuals' lack of information on pandemic. We find that the more direct and high-quality information people have, the more likely their decisions are to accord with the objective risk exposure. These findings reveal the key driving forces of the risk management responses under an unprecedented pandemic, and point to the importance and necessity of public information disclosure. © 2023 Elsevier Inc.

Optimization of CNN for Diagnosis on Lung Disease by Lung Segmentation and Rib Suppression

The discrimination of lung diseases by chest X- ray images is a clinically important tool. How to use artificial intelligence to accurately and quickly help doctors to diagnose different lung diseases is very important in the context of the current COVID-19 global pandemic. In this paper, we propose a model structure, including two U-Net, which implement lung segmentation and rib suppression for chest X-ray images respectively, image enhancement techniques such as histogram equalization, which enhances images contrast, and a Xception- based CNN, which classifies the processed images finally. The model can effectively avoid the interference of regions outside the lung to CNN for feature recognition and the influence of environmental factors such as X-ray machines on the quality of X-ray images and thus on the classification. The experimental results show that the classification accuracy of the model is higher than that of the direct use of the Xception model for classification. © 2022 IEEE.

Self-powered digital microfluidics driven by rotational triboelectric nanogenerator

Digital microfluidic (DMF) has emerged as one of the most popular microfluidic platforms for sample-preparation in biochemical analysis and lab-on-a-chip applications. Operated with electrowetting on dielectric (EWOD) mechanism, DMF conventionally requires an external power source to provide the actuation voltage, which limited its portability and broader applications in point-of-care testing (POCT) environment. Herein, a DMF device, self-powered by triboelectric nanogenerator (TENG) is presented. TENG possesses a number of unique characteristics, and is very attractive to be integrated with DMF. It only requires a simple configuration with low-cost fabrication that can improve the DMF portability, but it also provides high voltage, low current output characteristics that are consistent with the EWOD actuation requirements. Basic droplet manipulations, including transportation, split, merge, dispense, and even elongate to follow the electrode patterns of alphabets, on a DMF device powered with manually-rotated Disk-TENG are demonstrated for the first time. Further, droplets containing samples and reagents are transported and mixed on the programmed electrode patterns on the chip to conduct chemical reactions, including nucleic acid amplification and phenol red test, showing that Disk-TENG can serve as the power source for DMF chips in POCT applications. © 2023 Elsevier Ltd

Retrospective Analysis of the Duration of Hospitalization of Imported Patients Infected with SARS-CoV-2 in Guangzhou, 2021

The pandemic of coronavirus disease 2019 is "not over,"in fact, the "dynamic clearing"policy for SARS-CoV-2 control and prevention in China has been firmly enforced. This study aimed to analyze the clinical symptoms and dynamic viral RNA changes in 2021 at Guangzhou Eighth People's Hospital. This study showed that 31.4% of the patients (695/2212) tested negative for viral RNA from admission to the final release from quarantine. Of all negative cases, 86.5% (601/695) remained in the hospital for no more than 5 days and were asymptomatic or mild. Among the remaining 402 patients who stayed for no more than 5 days, 76.4% (307/402) were viral RNA retest positive during the isolation stage. However, 96.4% of the peak viral RNA (296/307) was over Ct = 33 cycles during the isolation stage. © Wolters Kluwer Health, Inc. All rights reserved.

Restoring hope and optimism through staycation programs: an application of psychological capital theory

This study marks an early attempt to evaluate staycation incentive programs initiated by local authorities. It aims to gauge the effectiveness of staycation programs in cultivating learning opportunities and restorative benefits with an emphasis on temporal positive psychological outcomes amid this continuing pandemic. Relying on a survey-based research design, we conducted a survey with 409 local tourists in Macau, where a recent staycation initiative has attained prominent success. We then undertook the structural equation modeling test using AMOS. Results show how short local excursions could still fortify one's psychological capital with respect to ephemeral improvement in hope, confidence, optimism, and resilience in the face of extenuating circumstances. By synthesizing a path leading from COVID-related distress to fortification of a more prepared mental state for the new normal through the staycation's experiential benefits, this study thus puts forth a mechanism that explains why tourists/residents engage in staycation programs, as well as illuminating the psychological values associated with such activities. By answering these questions, this research improvises a three-stage process that identifies pre-trip, during-trip, and post-trip mental encounters that improve participants' psychological capabilities, even if only temporarily. The present inquiry sheds light on a new form of sustainability: mental (or psychological) sustainability. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models

Despite deep learning (DL) success in classification problems, DL classifiers do not provide a sound mechanism to decide when to refrain from predicting. Recent works tried to control the overall prediction risk with classification with rejection options. However, existing works overlook the different significance of different classes. We introduce Set-classifier with Class-specific Risk Bounds (SCRIB) to tackle this problem, assigning multiple labels to each example. Given the output of a black-box model on the validation set, SCRIB constructs a set-classifier that controls the class-specific prediction risks. The key idea is to reject when the set classifier returns more than one label. We validated SCRIB on several medical applications, including sleep staging on electroencephalogram (EEG) data, X-ray COVID image classification, and atrial fibrillation detection based on electrocardiogram (ECG) data. SCRIB obtained desirable class-specific risks, which are 35%-88% closer to the target risks than baseline methods.

Realising the Sustainable Development Goal 11.7 in the post-pandemic era – A case study of Taiwan

The COVID-19 pandemic has dramatically impacted our daily lives worldwide. For instance, pandemic-prevention policies restrict people's mobility, which causes problems in accessing urban greenspaces. Indeed, unequal access to urban greenspace has been accentuated during the most stringent lockdowns of 2020 and 2021. Amid such challenging circumstances, there has been a growing attention placed on Sustainable Development Goal (SDG) 11.7, which has brought opportunities for urgent action. In this paper, we applied the Gini coefficient to our analysis of unequal access to urban greenspaces across all urban planning areas in six special municipalities in Taiwan. Moreover, we also conducted comparative analyses between the Gini coefficient and other socio-economic factors. The results show that approximately 63.98% of the urban planning area suffers from unequal access to greenspaces. In addition, urban greenspace provision and household income show significant positive correlations with the Gini coefficient, which reflects Taiwan's environmental injustice. Furthermore, these findings can help city planners and decision-makers evaluate levels of equality in each urban planning area and decide which priority areas should be improved. Finally, this study can also be used as a reference for decision-makers to realise SDG 11.7 in the post-pandemic era. © The Author(s) 2022.

Gaining resilience through transformative services in cause-related events: an interaction ritual chain perspective

PurposeThis study aims to unlock a ritual chain mechanism that promotes socio-mental (or socio-psychological) resilience. This study draws on interaction ritual chains theory and the concept of transformative service to answer the question of how people could be inspired toward an elevated level of group solidarity, emotional energy, morality and, thus, socio-mental resilience. Design/methodology/approachThis study took a qualitative approach resting upon online reviews and observations from an augmented food festival about hot pot delicacies dedicated to medical workers fighting hard amid the early coronavirus outbreak. FindingsThe results of this study point to four primary ritual outcomes (e.g. emotional energy, group solidarity, symbols of relationships and standards of morality) along with a two-tier micro-macro socio-mental resilience sustainability paradigm. Research limitations/implicationsEmpirical findings from this study could help operators to justify their transformative initiatives as means for customers to replenish their depleted physical and mental resources. Originality/valueThis inquiry presents new nuances to interaction ritual chains. This study also extends the transformative role of hospitality services to accentuate a linkage among individuals, communities and the society.

Potential of Antibody-Dependent Cellular Cytotoxicity in Acute and Recovery Phases of SARS-CoV-2 Infection

Background:Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused a global pandemic that has resulted in millions of casualties. Although researchers have reported the existence of neutralizing antibodies and viral T cell immunity against SARS-CoV-2, little is known about the presence of antibody-dependent cellular cytotoxicity (ADCC) and its role in combating SARS-CoV-2 infection.Methods:Nineteen acute COVID-19 patients at the First Affiliated Hospital of Guangzhou Medical University from January to February, 2020 and 55 recovery COVID-19 patients at the Second Peoples Hospital of Changde City from February, 2020 to February, 2021 were recruited in this study. Longitudinal plasma samples were collected. A virus-specific ADCC assay was performed to study the COVID-19 plasma samples. The correlations between ADCC and total IgG titer, including anti-RBD, anti-N, and neutralizing antibody titer were analyzed.Results:A high level of ADCC with 0.86% of IFN-γ+CD107a+NK cells induced by anti RBD antibodies and with 0.54% of IFN-γ+CD107a+NK cells induced by anti N antibodies was observed. This activity peaked at 3 weeks after disease onset with 1.16% and 0.63% of IFN-γ+CD107a+NK cells induced by anti RBD and anti N antibodies respectively, declined to 0.32% and 0.32% of IFN-γ+CD107a+NK cells respectively after more than 2 months, and persisted for 12 months after disease onset. The ADCC did not aggravate the severity of COVID-19 in terms of sequential organ failure assessment, although ADCC decreased with the age of COVID-19 patients. Interestingly, ADCC response is not correlated with neutralizing antibody titer or total IgG titers against S protein RBD and N protein in acute patients. ADCC in recovered patients showed a significant correlation with anti RBD IgG titer (R2 = 0.33, P < 0.001).Conclusion:Antibodies from COVID-19 patients against the N protein and S protein RBD domains could stimulate high levels of ADCC response. Our results provide evidence that vaccination should not only focus on neutralizing antibodies but also binding antibodies that may facilitate the antiviral function of ADCC, especially in the elderly. © 2022 Journal of Bone and Joint Surgery Inc.. All rights reserved.

Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images

Automatic diagnosis of COVID-19 using chest CT images is of great significance for preventing its spread. However, it is difficult to precisely identify COVID-19 due to the following problems: 1) the location and size of lesions can vary greatly in CT images;2) its unique characteristics are often imperceptible in imaging findings. To solve these problems, a Deep Dual Attention Network (<inline-formula><tex-math notation="LaTeX">$\textrm {D}

FUTURE SELF, PERCEIVED CONTROL, AND AGING PREPARATION BEFORE AND AFTER THE PANDEMIC: MODERATED MEDIATION EFFECT

Aging preparation, which can be seen as an adaptation to age-related challenges, is always oriented toward the future. The present study aims to explore how thinking about the future self and aging preparation are related. Domain-specific aging preparation was assessed in a longitudinal sample including 359 Hong Kong adults aged from 20 to 98 yrs. In both the pre- (2018) and during pandemic (2020) waves, perceived control fully mediated the positive relationship between thinking clarity on the near future self and aging preparation in the financial domain. However, the mediation effect of perceived control on aging preparation was moderated by age in the pre-pandemic wave, with a higher effect for older adults than for younger adults. Yet, these age differences were no longer significant during the pandemic. The present findings suggested the critical role of perceived control in preparation for the age-related changes and the age-equating effect of COVID-19 pandemic outbreak.

CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification

Chest X-ray (CXR) is a common imaging modality for examination of pneumonia. However, some pneumonia signs which are visible in CT may not be clearly identifiable in CXR. It is challenging to create a good ground truth for positive pneumonia cases based on CXR images especially for cases with small pneumonia lesions. In this paper, we propose a novel CT-based CXR synthesis framework, called ct2cxr, to perform data augmentation for pneumonia classification. Generative Adversarial Networks (GANs) were exploited and a customized loss function was proposed for model training to preserve the target pathology and maintain high image fidelity. Our results show that CXR images generated through style mixing can enhance the performance of general pneumonia classification models. Testing the models on a Covid-19 dataset shows similar improvements over the baseline models. © 2022, Springer Nature Switzerland AG.