Were CEO pay cuts during the COVID-19 pandemic merely symbolic? Shareholders' reaction and outrage

We examine whether CEO pay cut announcements during the COVID-19 pandemic are symbolic and made to appease various stakeholders. We find that firms announcing a CEO pay cut are more likely to announce news that has a negative impact on their stakeholders, suggesting that pay cut announcements were used to alleviate stakeholder pressure. We also document that the pay cut announcements are associated with lower CEO salary but not total pay. In fact, our results suggest that pay cut announcements were symbolic, whereby salary cuts were substituted with increases in cash bonuses. Furthermore, we find a lower rate of shareholder dissent votes if a firm announced a pay cut. However, this effect is reduced if the CEO received higher total pay. Finally, we document higher shareholder dissent votes if a firm received government subsidies and paid higher CEO compensation or increased dividends. This suggests that shareholders do not prioritise their immediate financial interests and hold managers accountable for actions perceived negatively by the public. © 2023

Canadians' opinions towards COVID-19 data-sharing: a national cross-sectional survey.

OBJECTIVES: COVID-19 research has significantly contributed to pandemic response and the enhancement of public health capacity. COVID-19 data collected by provincial/territorial health authorities in Canada are valuable for research advancement yet not readily available to the public, including researchers. To inform developments in public health data-sharing in Canada, we explored Canadians' opinions of public health authorities sharing deidentified individual-level COVID-19 data publicly. DESIGN/SETTING/INTERVENTIONS/OUTCOMES: A national cross-sectional survey was administered in Canada in March 2022, assessing Canadians' opinions on publicly sharing COVID-19 datatypes. Market research firm Léger was employed for recruitment and data collection. PARTICIPANTS: Anyone greater than or equal to 18 years and currently living in Canada. RESULTS: 4981 participants completed the survey with a 92.3% response rate. 79.7% were supportive of provincial/territorial authorities publicly sharing deidentified COVID-19 data, while 20.3% were hesitant/averse/unsure. Datatypes most supported for being shared publicly were symptoms (83.0% in support), geographical region (82.6%) and COVID-19 vaccination status (81.7%). Datatypes with the most aversion were employment sector (27.4% averse), postal area (26.7%) and international travel history (19.7%). Generally supportive Canadians were characterised as being ≥50 years, with higher education, and being vaccinated against COVID-19 at least once. Vaccination status was the most influential predictor of data-sharing opinion, with respondents who were ever vaccinated being 4.20 times more likely (95% CI 3.21 to 5.48, p=0.000) to be generally supportive of data-sharing than those unvaccinated. CONCLUSIONS: These findings suggest that the Canadian public is generally favourable to deidentified data-sharing. Identifying factors that are likely to improve attitudes towards data-sharing are useful to stakeholders involved in data-sharing initiatives, such as public health agencies, in informing the development of public health communication and data-sharing policies. As Canada progresses through the COVID-19 pandemic, and with limited testing and reporting of COVID-19 data, it is essential to improve deidentified data-sharing given the public's general support for these efforts.

A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

Human activities are hugely restricted by COVID-19, recently. Robots that can conduct inter-floor navigation attract much public attention since they can substitute human workers to conduct the service work. However, current robots either depend on human assistance or elevator retrofitting, and fully autonomous inter-floor navigation is still not available. As the very first step of inter-floor navigation, elevator button segmentation and recognition hold an important position. Therefore, we release the first large-scale publicly available elevator panel dataset in this work, containing 3,718 panel images with 35,100 button labels, to facilitate more powerful algorithms on autonomous elevator operation. Together with the dataset, a number of deep learning based implementations for button segmentation and recognition are also released to benchmark future methods in the community. The dataset is available at https://github.com/zhudelong/elevator_button_recognition

Addressing Privacy Concerns in Sharing Viral Sequences and Minimum Contextual Data in a Public Repository During the COVID-19 Pandemic.

COVID-19 was declared to be a pandemic in March 2020 by the World Health Organization. Timely sharing of viral genomic sequencing data accompanied by a minimal set of contextual data is essential for informing regional, national, and international public health responses. Such contextual data is also necessary for developing, and improving clinical therapies and vaccines, and enhancing the scientific community's understanding of the SARS-CoV-2 virus. The Canadian COVID-19 Genomics Network (CanCOGeN) was launched in April 2020 to coordinate and upscale existing genomics-based COVID-19 research and surveillance efforts. CanCOGeN is performing large-scale sequencing of both the genomes of SARS-CoV-2 virus samples (VirusSeq) and affected Canadians (HostSeq). This paper addresses the privacy concerns associated with sharing the viral sequence data with a pre-defined set of contextual data describing the sample source and case attribute of the sequence data in the Canadian context. Currently, the viral genome sequences are shared by provincial public health laboratories and their healthcare and academic partners, with the Canadian National Microbiology Laboratory and with publicly accessible databases. However, data sharing delays and the provision of incomplete contextual data often occur because publicly releasing such data triggers privacy and data governance concerns. The CanCOGeN Ethics and Governance Expert Working Group thus has investigated several privacy issues cited by CanCOGeN data providers/stewards. This paper addresses these privacy concerns and offers insights primarily in the Canadian context, although similar privacy considerations also exist in other jurisdictions. We maintain that sharing viral sequencing data and its limited associated contextual data in the public domain generally does not pose insurmountable privacy challenges. However, privacy risks associated with reidentification should be actively monitored due to advancements in reidentification methods and the evolving pandemic landscape. We also argue that during a global health emergency such as COVID-19, privacy should not be used as a blanket measure to prevent such genomic data sharing due to the significant benefits it provides towards public health responses and ongoing research activities.

Interplay of Influenza A/B Subtypes and COVID-19

Influenza, or most commonly termed the flu, is a common respiratory illness caused by viral infection. The circulation of this virus is found year-round but is more common during the flu season: fall and winter. In the United States, the number of reported cases begins to rise in October, reaches a peak in December, and returns to normal in April. Even though there are four subtypes of the Influenza virus, the seasonal flu outbreaks in humans are caused by type A and B viruses. eVision utilizes influenza data provided by the United States Center for Disease Control and Prevention (CDC) and the World Health Organization (WHO) to analyze influenza A and B cases throughout the flu season. During the 2019-20 flu season, the positive influenza cases reported in the US were between 36 and 56 million, which is the highest over the past six years. However, during the 2020-21 flu season which is the first complete flu season within the COVID-19 pandemic, the reported flu cases reduced drastically to 1,899;of which 713 were caused by influenza A viruses, and 1,186 by influenza B viruses. This indicates that the number of flu B cases was higher than that of flu A which was not normally the case prior to the COVID-19 pandemic. It was further observed that flu B reached its peak either at the same time or earlier than flu A which is also unusual compared to the flu trends prior to the onset of the COVID-19 pandemic. This peculiar trend is also noted during the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003. This paper reports the findings on deviation in the Influenza type A and type B trends during the circulation of Coronavirus in the US and Canada and provides possible reasons for these changes. © 2021 IEEE.

Research on effective measures for prevention and control management of outpatient radiotherapy during COVID-19 pandemic

Objective: To analyze and summarize the effective management measures for the prevention of COVID-19 infection during outpatient radiotherapy in general hospitals. Method: Based on the requirements of pandemic prevention and control, combined with the possible problems during diagnosis and treatment process in the radiotherapy outpatient of the First Medical Center of Chinese PLA General Hospital, the prevention and control measures such as process adjustment, environmental zoning, protection control and disinfection were retrospectively reviewed under the prevalence of COVID-19, and the effectiveness of the prevention and control was evaluated. Results: The targeted protective measures were taken during outpatient radiotherapy. Through strengthening the entrance management, strict escort management and appointment treatment, a pandemic prevention and control model for outpatient radiotherapy was summarized during the COVID-19 pandemic. A total of 1 959 patients were admitted to our medical center from January to December 2020. All of them accepted radiotherapy and no infection was found among patients and medical personnel, achieving good prevention and control effects. Conclusions: During the COVID-19 pandemic, effective preventative management measures must be taken for the treatment process, the environment, and the personnel in the radiotherapy outpatient clinics of general hospitals, so as to minimize the medical risk of infection, ensure the safety of the medical personnel and patients, and ensure the safe and orderly work of outpatient radiotherapy. © 2022, The Second Affiliated Hospital, College of Medicine, Zhejiang University.. All right reserved.

Progress in Nucleic Acid Detection Technology and Its Application in SARS-CoV-2 Nucleic Acid Detection

Up to now, the COVID-19 is still prevalent in many countries around the world, and threatens health security of global public seriously. China not only developed the reagent kits for detecting of SARS-CoV-2 nucleic acids and testing equipment, but also established 10 in 1 mixed detection strategy and related policies which have improved the efficiency of epidemic prevention and control, and ensured the health of the people. This review summarizes the principles, advantages, disadvantages and supporting equipment of various methods for the detection of SARS-CoV-2.

Reintubation during COVID-19 pandemic: a simple self-made guiding device facilitates reintubation and minimizes transmission

Consensus guidelines to protect airway managers during COVID-19 were developed to encourage safe, accurate and swift performance in intubation and extubation, but reintubation was not considered. With the massive surge of patients requiring mechanical ventilation in this COVID-19 pandemic, great incidence of difficult airways may necessitate reintubation. Equipments could be used now in extubation and reintubation are either too expensive and time-consuming in decontamination, or have not gained wide acceptance. Here, we adapted an extubation device from an intubating stylet, which is provided as accessory of endotracheal tube. Such stylet could provide safe access for expediting reintubation both during and after the COVID-19 pandemic, which is inexpensive, single-use, readily available, straightforward to handle, and well-tolerated, thereby benefiting both the patients and healthcare providers.

Identification of a Conserved Intracellular Loop (CIL) Structure That Scaffolds PIP3 to Amplify Oncogenic Signaling during Malignant B-Cell Transformation

Background: Within seconds of antigen-encounter, B-cell receptor (BCR) signaling induces dramatic changes of cell membrane lipid composition, including >40-fold increases of local PIP3-concentrations within lipid rafts. While several structural elements, including pleckstrin homology (PH) domains have been identified as PIP3-binding proteins, the underlying mechanisms that amplify BCR-signaling to assemble large signaling complexes within lipid rafts within 15 to 30 seconds, remained elusive. To understand the mechanistic and biophysical requirements for PIP3 accumulation during normal B-cell activation and acute oncogenic transformation, we identified PIP3-interacting proteins by cell-surface proteomic analyses. Results: In addition to proteins known to bind PIP3 with their PH-domains, we identified the short 133 aa protein IFITM3 (interferon-inducible transmembrane protein 3) as a top-ranking PIP3 scaffold. This was unexpected because IFITM3 was previously identified as endosomal protein that blocks viral infection by stiffening endosomal membranes to firmly contain viral cargo. Previous studies revealed that polymorphisms that lead to the expression of truncated IFITM3 are associated with increased susceptibility to viral infections, including SARS-CoV2. Among known cell membrane lipids, PIP3 has the highest negative charge. Instead of a PH-domain, IFITM3 laterally sequestered PIP3 through electrostatic interactions with two basic lysine residues (K83 and K104) located at the membrane-solution interface. Together with three other basic lysine and arginine residues K83 and K104 form a conserved intracellular loop (CIL), which enable IFITM3 to efficiently capture two PIP3 molecules. Bivalent PIP3-binding of the IFITM3-CIL enables a crosslinking mechanism that results in dramatic amplification of B-cell activation signals and clustering of large signaling complexes within lipid rafts. In normal resting B-cells, Ifitm3 was minimally expressed and mainly localized in endosomes. However, B-cell activation and oncogenic kinases induced phosphorylation at IFITM3-Y20, resulting in translocation of IFITM3 from endosomes and massive accumulation at the cell surface. Ifitm3ˉ /ˉ naïve B-cells developed at normal numbers, however, activation by antigen encounter was compromised. In Ifitm3ˉ /ˉ B-cells, lipid rafts were depleted of PIP3, resulting in defective expression of >60 lipid raft-associated surface receptors and impaired PI3K-signaling. Ifitm3ˉ /ˉ B-cells were unable to undergo affinity maturation and di not contribute to germinal center formation upon immunization. Analyses of gene expression and clinical outcome data from patients in six clinical cohorts for pediatric and adult B-ALL, mantle cell lymphoma, CLL and DLBCL, we consistently identified IFITM3 as a top-ranking predictor of poor clinical outcome. Inducible activation of BCR-ABL1 and NRAS G12D rapidly induced development of B-ALL but failed to transform and initiate B-ALL from Ifitm3ˉ /ˉ B-cell precursors. Conversely, the phospho-mimetic IFITM3-Y20E mutation, mimicking phosphorylation of the IFITM3 N-terminus at Y20 induced constitutive membrane localization of IFITM3, spontaneous aggregation of large oncogenic signaling complexes and readily initiated transformation in a genetic model of pre-malignant B-cells. Conclusions: We conclude that phosphorylation of IFITM3 upon B-cell activation induces a dynamic switch from antiviral effector functions in endosomes to oncogenic signal-amplification at the cell-surface. IFITM3-dependent amplification of PI3K-signaling is critical to enable rapid expansion of activated B-cells. In addition, multiple oncogenes depend on IFITM3 to assemble PIP3-dependent signaling complexes and amplify PI3K-signaling for malignant transformation and initiation of B-lymphoid leukemia and lymphoma. [Formula presented] Disclosures: Weinstock: SecuraBio: Consultancy;ASELL: Consultancy;Bantam: Consultancy;Abcuro: Research Funding;Verastem: Research Funding;Daiichi Sankyo: Consultancy, Research Funding;AstraZeneca: Consultanc ;Travera: Other: Founder/Equity;Ajax: Other: Founder/Equity.

Airport check-in counters assignment using predicted passenger load: A case study

Before Covid19, airport around the world are faced with limited capacity issues and predicting the passenger demand at the airport is vital for resource planning at various customer touch points ranging from check-in counters and immigration. In this case study, we use one-year historical data to forecast the departure demand for each airline and develop a simulation model to determine the number of check-in counters required to optimize the resource utilization at the airport. The overall objective of this paper is to uncover the real-world business problem in the classroom setting and the authors will share how to go through this case study in detail. © IEOM Society International.

The Biobanque québécoise de la COVID-19 (BQC19)-A cohort to prospectively study the clinical and biological determinants of COVID-19 clinical trajectories.

SARS-CoV-2 infection causing the novel coronavirus disease 2019 (COVID-19) has been responsible for more than 2.8 million deaths and nearly 125 million infections worldwide as of March 2021. In March 2020, the World Health Organization determined that the COVID-19 outbreak is a global pandemic. The urgency and magnitude of this pandemic demanded immediate action and coordination between local, regional, national, and international actors. In that mission, researchers require access to high-quality biological materials and data from SARS-CoV-2 infected and uninfected patients, covering the spectrum of disease manifestations. The "Biobanque québécoise de la COVID-19" (BQC19) is a pan-provincial initiative undertaken in Québec, Canada to enable the collection, storage and sharing of samples and data related to the COVID-19 crisis. As a disease-oriented biobank based on high-quality biosamples and clinical data of hospitalized and non-hospitalized SARS-CoV-2 PCR positive and negative individuals. The BQC19 follows a legal and ethical management framework approved by local health authorities. The biosamples include plasma, serum, peripheral blood mononuclear cells and DNA and RNA isolated from whole blood. In addition to the clinical variables, BQC19 will provide in-depth analytical data derived from the biosamples including whole genome and transcriptome sequencing, proteome and metabolome analyses, multiplex measurements of key circulating markers as well as anti-SARS-CoV-2 antibody responses. BQC19 will provide the scientific and medical communities access to data and samples to better understand, manage and ultimately limit, the impact of COVID-19. In this paper we present BQC19, describe the process according to which it is governed and organized, and address opportunities for future research collaborations. BQC19 aims to be a part of a global communal effort addressing the challenges of COVID-19.

Efficacy of traditional chinese medicine for covid-19 pneumonia: Two case reports

Coronavirus disease, COVID-19, is a new viral illness that was initially identified in the central Chinese city of Wuhan in December 2019. It causes an extremely high incidence of pneumonia, is highly infectious and has spread quickly throughout the world. The treatment of viral conditions is well established within the context of Chinese Medicine. Here we report two successful cases, including CT scans of the patient’s chest and temperature charts from before, during and after treatment to demonstrate the benefits achieved. Because traditional Chinese medicine (TCM) shows a positive effect in the treatment of COVID-19, it is highly recommended that TCM is incorporated early in the treatment of patients affected by this disease.

Clinical characteristics associated with long-term viral shedding in patients with coronavirus disease 2019

Background: To delineate the clinical characteristics associated with long-term viral shedding (>21 days) in patients with coronavirus disease 2019 (COVID-19). Methods: In this retrospective study, factors associated with long-term (>21 days) severe acute respiratory coronavirus 2 (SARS-CoV-2) RNA shedding were evaluated in a conhort of 609 patients from two hospitals in Wuhan. Results: The median duration of SARS-CoV-2 viral shedding was 19 days (interquartile range, 10-28 days) among all patients. There were 42% of patients having prolonged viral shedding time (>21 days), in which the longest viral shedding time was 58 days. When comparing patients with early (≤21 days) and late viral RNA clearance (>21 days), prolonged viral shedding was associated with age <65 (P=0.015), female sex (P=0.028), cough (P=0.025), fatigue (P=0.035), sore throat (P=0.013), aspartate aminotransferase (P=0.038), procalcitonin (P=0.010), albumin (P=0.003), D-dimer (P=0.011), lung involvement (P=0.014), reticular shadow (P<0.001) and lung consolidation (P=0.004). Age range (<65 years) (odds ratio [OR], 1.46 [95% CI, 1.05-2.03]) and female sex (odds ratio [OR], 1.40 [95% CI, 1.00-1.94]) were independent risk factors. Conclusions: Long-term viral shedding (>21 days) is not a rare phenomenon among COVID-19 infectious patients. Age range (<65) and female sex are independent risk factors for long-term viral shedding. Early antiviral treatment should be considered for COVID-19 patients with such risk factors. Further study should be conducted to know the infectivity of patients with long-term viral shedding in order to develop reasonable control measures.

[Nursing strategies for the facial skin injuries caused by wearing medical-grade protective equipment].

For effective resistance to virus attack and infection and reducing virus transmission chance, it is extremely important for the medical staff and related workers to have their own safe protection. The paper summarizes the occurrence causes, common locations, and prevention ways about the device related pressure ulcers on the face resulted from wearing medical-grade protective equipment for a long working time. The paper proposes the prevention and nursing strategies for device related pressure ulcers and other related skin injuries during application of medical-grade protective equipment. The paper aims to provide reference for the prevention and nursing of device related pressure ulcers and related skin diseases for clinical medical staff, especially to the respectable personnel in front line of fighting against coronavirus disease 2019.