Masked Face Recognition Model with Explainable AI

Due to the recent COVID-19 pandemic, people tend to wear masks indoors and outdoors. Therefore, systems with face recognition, such as FaceID, showed a tendency of decline in accuracy. Consequently, many studies and research were held to improve the accuracy of the recognition system between masked faces. Most of them targeted to enhance dataset and restrained the models to get reasonable accuracies. However, not much research was held to explain the reasons for the enhancement of the accuracy. Therefore, we focused on finding an explainable reason for the improvement of the model's accuracy. First, we could see that the accuracy has actually increased after training with a masked dataset by 12.86%. Then we applied Explainable AI (XAI) to see whether the model has really focused on the regions of interest. Our approach showed through the generated heatmaps that difference in the data of the training models make difference in range of focus. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

MODELING OF ANTIBODY RESPONSE TO COVID-19 VACCINATIONS IN PATIENTS WITH RHEUMATOID ARTHRITIS

BackgroundUnderstanding the dynamics of humoral immunity after COVID-19 vaccination is crucial in developing vaccination strategies. Antibody response patterns are more complex in patients with rheumatoid arthritis (RA) because of their underlying autoimmunity and immunosuppressive medications. The kinetics of vaccine response in RA patients are not well understood.ObjectivesTo construct a model of antibody response to COVID-19 vaccination in patients with RA.MethodsTwo patient groups were included for the study. The first group was composed of RA patients who were enrolled for influenza vaccination study between Oct 6, 2021 and November 3, 2021, in whom serial serum samples were obtained 0, 4, 16 weeks after vaccination. The second group was consecutively enrolled from outpatient clinic between October 6, 2021 and June 3, 2022, in whom serum sample was obtained once. After collecting data on demographics, vaccination and infection history of COVID-19 were obtained by self-report via questionnaire and data from Korean center for disease control. We then measured antibody titers against receptor binding domain of spike protein (anti-RBD) and nucleocapsid (anti-N), using Chemiluminescence microparticle immunosaasy (Abbott, USA) and Electrochemiluminescence immunoassay (Roche, Germany) respectively. The anti-RBD titer was log-transformed to improve normality. Time from vaccination and log of anti-RBD titer was modeled using fractional polynomial. Covariates including age, sex, BMI, underlying disease and immunosuppressive drugs were analyzed using Generalized Estimating Equations to account for repeated measured from a subject.ResultsA total of 736 patients (1042 samples) were enrolled. After excluding patients who experienced COVID-19 infection before sampling (n=84), those unvaccinated (n=44) and uncertain COVID-19 infection history (n=59), the data on 778 samples from 549 patients were analyzed (Group 1: 125, Group 2: 424). Antibody titer reached peak at 12 days after vaccination and decreased exponentially (Figure 1) which fell to 36.5% from peak after 2 months. Compared to the first vaccination, the 3rd and 4th vaccination significantly shifted anti-RBD antibody response curve (28 times, 95% CI 4~195;32 times 95% CI 4~234, respectively). However, there was no significant shift after the 4th vaccination from the 3rd vaccination (p=0.6405). Multivariable analysis showed that number of vaccinations and sulfasalazine (coefficient: 0.40, 95% CI 0.12~0.68) increased vaccine response but age (coefficient: -0.03, 95% CI -0.04~-0.02), abatacept (coefficient: -2.07, 95% CI -3.30~-0.84) and, JAK inhibitor (coefficient: -0.82, 95% CI -1.34~-0.31) decreased vaccine response.ConclusionAnti-RBD response to COVID-19 vaccination showed a peak at 12 days after vaccination and then exponentially decreased in patient with RA. The antibody response is affected by age and medications used for the treatment of RA.Table 1.ln[RBD (U/ml)]coefficient (univariable)95% CIp-valuecoefficient (multivariable)95% CIp-valuesex (female)0.17-0.22, 0.550.393---age-0.02-0.03, -0.01<.001**-0.03-0.04, -0.02<.001**DM0.11-0.27, 0.500.568---HTN-0.38-0.69, -0.070.018*---CKD0.680.07, 1.290.030*---RA duration (yr)-0.04-0.06, -0.010.001**---Pd (mg/d)-0.06-0.11, 0.000.035*---MTX use-0.23-0.52, 0.050.105---HCQ use0.01-0.28, 0.290.965---SSZ use0.450.07, 0.840.022*0.400.12,0.680.005**LEF use0.00-0.37, 0.370.988---TNF inhibitors use0.29-0.16, 0.730.208---Abatacept use-2.07-3.14, -0.99<.001**-2.07-3.30, -0.840.001**JAK inhibitors use-0.88-1.52, -0.240.007**-0.82-1.34, -0.310.002**Time (months)log(t)-1.96-2.37, -1.54<.001**-1.90-2.29, -1.50<.001**t

The relationship between inflammatory diet score and cancer-specific outcomes: Systematic review and meta-analysis

Cancer remains one of the most prevalent diseases in the United States and a leading cause of death. Large prospective studies have found significant correlations between dietary intake and cancer. Chronic inflammation promotes pro-cancer inflammatory environments and nutrition can influence inflammation, with the intake of certain food items increasing inflammatory biomarkers. The objective of this research was to explore the relationship between inflammatory diet score measured by the Dietary Inflammatory index and all-cause mortality, cancer-specific mortality, and cancer recurrence among cancer survivors. Web of Science, Medline, CINHAL, and PsycINFO databases were searched to collect potentially eligible sources that focus on dietary inflammation and cancer outcomes. All sources were uploaded to Covidence software and screened by two independent blinded reviewers. The quality of the sources was assessed using the Newcastle Ottawa scale and relevant data was extracted and transferred to the Comprehensive Meta Analysis software and a random effects model was used to perform meta-analysis. Of the 1444 studies imported into the Covidence software, 13 passed all the screening stages and were included in the final analysis. Eight studies reported on pre-diagnosis diet while five others reported on postdiagnosis diet. Five studies reported on colorectal cancer, four on breast cancer, two on ovarian cancer, one on endometrial cancer and one on prostate cancer. Meta-analysis of the studies found that being in the highest postdiagnosis DII score indicating pro-inflammatory diet significantly increased the risk of all-cause death among cancer survivors by 33.5% (HR = 1.335, 95% CI = 1.049, 1.698, n = 6). Analysis did not show a statistically significant association between DII score and cancer mortality or recurrence (HR = 1.097, 95% CI = 0.939, 1.281, n = 6). Analysis by cancer subtype found a significant correlation between postdiagnosis DII score and all-cause mortality among the breast cancer survivors (HR = 1.335, 95% CI = 1.041, 1.711, n = 3) though there were no significant associations between DII and the outcomes of interest from the other cancer types. The meta-analysis concludes that being in the highest postdiagnosis DII score group significantly increased the risk of all-cause death among cancer survivors. This suggests that risk of all-cause mortality could be reduced for cancer survivors by consuming more anti-inflammatory food components and reducing consumption of pro-inflammatory foods. These findings also warrant more research in this field to clarify the relationship between dietary inflammation as measured by the DII and cancer outcomes, particularly cancer-specific mortality.

Comparative Analysis of AI-Based Facial Identification and Expression Recognition Using Upper and Lower Facial Regions

The COVID-19 pandemic has significantly impacted society, having led to a lack of social skills in children who became used to interacting with others while wearing masks. To analyze this issue, we investigated the effects of masks on face identification and facial expression recognition, using deep learning models for these operations. The results showed that when using the upper or lower facial regions for face identification, the upper facial region allowed for an accuracy of 81.36%, and the lower facial region allowed for an accuracy of 55.52%. Regarding facial expression recognition, the upper facial region allowed for an accuracy of 39% compared to 49% for the lower facial region. Furthermore, our analysis was conducted for a number of facial expressions, and specific emotions such as happiness and contempt were difficult to distinguish using only the upper facial region. Because this study used a model trained on data generated from human labeling, it is assumed that the effects on humans would be similar. Therefore, this study is significant because it provides engineering evidence of a decline in facial expression recognition;however, wearing masks does not cause difficulties in identification.

Risk of Microbial Transmission in Reusing Gloves after Alcohol-Based Hand Hygiene

Intro: The need for re-use of gloves as an alternative to single use was raised in times of resource shortages because during the coronavirus disease 2019 pandemic, marked increase in healthcare associated infection was reported, which might owing to shortage of personal protective equipment. we aimed to evaluate the risk of microbial transmission by comparing residual microorganism after multiple patient contact according to with or without gloves in clinical practice. Method(s): Three researchers made rounds of patients while touching the same area successively followed by alcohol-based hand rub: one with bare hands, one with single gloves, and one with double gloves. Hand imprints were obtained before and after rounds, and cultured to count colony-forming units (CFU). The number of colonies was compared between groups in a semi-quantitative manner by hand area. Finding(s): Mean CFU counts after round were 10.06 for bare hands, 31.22 for single-gloved hands, and 49.67 for double-gloved hands (p=0.084). The most commonly identified microorganism after rounding was coagulase-negative Staphylococci (77.8%, 42/54), followed by Bacillus species (62.9%, 34/54). Carbapenem-resistant Acinetobacter baumannii was confirmed from a pair of double-gloved hand specimens after the rounds. That round included a patient with the same organism with the same antibiotic susceptibility results. More microorganisms were remained after alcohol-based hand rub on gloved hands than on bare hands. Conclusion(s): From our results, the possibility of microbial transmission seems more likely in gloved hands than in bare hands even after alcohol-based hand rub. Therefore, we do not recommend the re-use of gloves after alcohol-based hand hygiene.Copyright © 2023

Remdesivir Reduces Mortality in Immunocompromised Patients Hospitalized for Covid-19

Background: There is limited information on effectiveness of COVID-19 therapies in immunocompromised patients, who are at higher risk of hospitalizations, complications, and mortality due to COVID-19. We examined hospital all-cause mortality for early RDV use vs. no RDV use among immunocompromised COVID-19 patients across several distinct dominant variants of concern (VOC) periods: pre-Delta (Dec'20-Apr'21), Delta (May-Nov'21) and Omicron (Dec'21-Apr'22). Method(s): Using the Premier Healthcare Database, we identified adults with an immunocompromised condition (cancer, solid organ and hematopoietic stem cell transplant, hematologic malignancies, primary immunodeficiencies, asplenia, bone marrow failure/aplastic anemia, severe combined immunodeficiencies or HIV), hospitalized with a primary diagnosis of COVID-19. Patients treated with RDV in first 2 days of admission vs. those not treated with RDV during the hospitalization were matched using 1:1 preferential withinhospital propensity matching with replacement. Patients were excluded if discharged within 3 days of RDV initiation. Cox Proportional Hazards Model was used to examine time to 14-and 28-day mortality. Result(s): Overall (Dec'20-Apr'22), 14,169 RDV-treated patients were matched to 5,341 unique non-RDV patients. Post-matching balance was achieved with 59% being 65+ years, 40.5% with no supplementary oxygen charges, 39% received low-flow oxygen, 19% on high-flow oxygen/non-invasive ventilation and 1.5% on invasive mechanical ventilation/ECMO at baseline. During the study period, unadjusted mortality rate was significantly lower for RDV patients at 14 days (11% [95% CI: 11%-12%] vs 15% [15%-16%];p< .0001) and 28 days (18% [17%-18%];p< .0001 vs 22% [22%-23%];p< .0001) as compared to patients that did not receive RDV. After adjusting for baseline and clinical covariates, 14-day results showed that RDV had significantly lower mortality risk compared to non-RDV across all VOC periods [overall (30% lower risk), pre-delta (41%), Delta (23%), Omicron (25%)]. Similarly, 28-day results showed that RDV had significantly lower mortality risk compared to non-RDV across all VOC periods [overall (25%), pre-delta (35%), Delta (21%), Omicron (16%)] (Fig). Conclusion(s): Timely initiation of RDV in first two days of hospital admission demonstrated significant mortality reduction in immunocompromised patients hospitalized with primary diagnosis of COVID-19. RDV demonstrated consistent benefit in an immunocompromised cohort across all variant periods of the pandemic.

Remdesivir Reduces Mortality in Hospitalized Covid-19 Patients across Variant Eras

Background: Clinical management of COVID-19 based on oxygenation requirements continues to change over time as variants of concern (VOC) evolve. We examine hospital all-cause mortality for early hospital RDV use vs. no RDV use across dominant VOC periods: pre-Delta (Dec'20-Apr'21), Delta (May-Nov'21) and Omicron (Dec'21-Apr'22). Method(s): We examined adults with a primary discharge diagnosis of COVID-19 (ICD-10: U07.1) using the Premier Healthcare Database. Patients treated with RDV in the first 2 days of admission vs. those not treated with RDV during the hospitalization were matched using a 1:1 preferential within-hospital propensity matching with replacement. Patients were excluded if discharged within 3 days of RDV initiation. Time to mortality at 14-and 28-days was examined for patients with no supplemental oxygen charges (NSOc), low-flow oxygen (LFO), high-flow oxygen/non-invasive ventilation (HFO/NIV) and invasive mechanical ventilation/ECMO (IMV/ECMO) at baseline. Baseline was defined as first 2 days of hospitalization. Result(s): 164,791 RDV-treated patients were matched to 48,473 unique non-RDV patients. Post-matching balance was achieved across groups with different baseline oxygenation levels and VOC periods. In the matched weighted cohort, 35% required NSOc, 41% LFO, 21% HFO/NIV and 3% IMV/ECMO. During the overall study period (Dec'20-Apr'22), unadjusted mortality rate was significantly lower for RDV patients across all oxygenation levels at 14 days (NSOc: 5.4% vs. 7.3%, LFO: 6.4% vs. 8.8%, HFO/NIV: 16.8% vs. 19.4%, IMV/ECMO: 27.8% vs. 35.3%) and 28 days (NSOc: 8.0% vs. 9.8%, LFO: 9.8% vs. 12.3%, HFO/ NIV: 25.8% vs. 28.3%, IMV/ECMO: 41.4% vs. 50.6%). After adjusting for baseline and clinical covariates, 14-day mortality results showed that RDV significantly lower risk compared to non-RDV across all oxygenation levels at baseline [NSO (26%), LFO (28%), HFO/NIV (17%), IMV/ ECMO (27%)]. Similarly, 28-day mortality results showed that RDV significantly lower risk compared to non-RDV across all oxygenation levels at baseline [NSO (19%), LFO (21%), HFO/NIV (12%), IMV/ECMO (26%)]. This lower mortality risk associated with RDV was consistently observed across all variant periods (Figure). Conclusion(s): Timely initiation of RDV within first two days of hospital admission demonstrated significant mortality reduction in patients hospitalized for a primary diagnosis of COVID-19 across all oxygenation levels. Remdesivir demonstrated consistent benefit across all variant periods of the pandemic to-date.

An Effective Threat Detection Framework for Advanced Persistent Cyberattacks

Recently, with the normalization of non-face-to-face online environments in response to the COVID-19 pandemic, the possibility of cyberattacks through endpoints has increased. Numerous endpoint devices are managed meticulously to prevent cyberattacks and ensure timely responses to potential security threats. In particular, because telecommuting, telemedicine, and tele-education are implemented in uncontrolled environments, attackers typically target vulnerable endpoints to acquire administrator rights or steal authentication information, and reports of endpoint attacks have been increasing considerably. Advanced persistent threats (APTs) using various novel variant malicious codes are a form of a sophisticated attack. However, conventional commercial antivirus and anti-malware systems that use signature-based attack detection methods cannot satisfactorily respond to such attacks. In this paper, we propose a method that expands the detection coverage in APT attack environments. In this model, an open-source threat detector and log collector are used synergistically to improve threat detection performance. Extending the scope of attack log collection through interworking between highly accessible open-source tools can efficiently increase the detection coverage of tactics and techniques used to deal with APT attacks, as defined by MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK). We implemented an attack environment using an APT attack scenario emulator called Carbanak and analyzed the detection coverage of Google Rapid Response (GRR), an open-source threat detection tool, and Graylog, an open-source log collector. The proposed method expanded the detection coverage against MITRE ATT&CK by approximately 11% compared with that conventional methods. © 2023 Tech Science Press. All rights reserved.

Impact of Patient Navigation on Reducing Breast Imaging Disparities and Applications in the COVID-19 Era

The coronavirus (COVID-19) pandemic has impacted breast cancer screening with concerns that this may lead to increased overall breast cancer mortality and worsened racial and ethnic disparities in breast cancer survival. As pandemic recovery efforts are underway, we must be prepared to address barriers to timely access of breast imaging services, including those that existed prior to the pandemic, as well as any new barriers that may arise as a result of the pandemic. Patient navigation is an important tool that has been shown to address barriers to timely breast imaging access and help reduce disparities. Patient navigation programs can serve as a key part of the strategy to mitigate the impact of the COVID-19 pandemic on timely breast cancer diagnosis. These programs have been shown to be successful in promoting adherence to breast cancer screening guidelines as well as encouraging timely diagnostic follow-up, particularly in underserved communities. Further research is needed to explore the role of using a telehealth platform for patient navigation and evaluate the cost-effectiveness of patient navigator programs as well as more randomized controlled trials to further explore the impact of patient navigation programs.

Multipurpose advanced split T7 promoter-based transcription amplification for ultrasensitive molecular diagnostics

An accurate, convenient, and rapid diagnostic platform, which can be applied in facility-limited or point-of-care (POC) settings, is essential to help prevent the spread of infectious diseases and enable the most effective treatment to be selected. In this study, we describe the development of a new isothermal molecular diagnostic system named multipurpose advanced split T7 promoter-based transcription amplification (MASTER) for the rapid and ultrasensitive detection of various pathogens containing single-stranded RNA and double-stranded DNA. MASTER produces a large number of RNA amplicons in the presence of target pathogens, which generate fluorescence or colorimetric signals based on light-up RNA aptamers or lateral flow assays. Implementing MASTER at 37 °C for<1 h achieved the detection of a single copy per reaction without cross-reactivity. Moreover, the testing of 40 clinical samples revealed that MASTER exhibited excellent accuracy with 100% sensitivity and specificity for SARS-CoV-2 diagnosis. Furthermore, a one-pot MASTER system capable of accelerating practical applications was demonstrated, indicating that the MASTER system is a promising platform for the effective surveillance of various pathogens. © 2023 Elsevier B.V.

COVID-19, Hyper Vulnerabilities, Silenced Traumas, and Colonial Scars: Social Work Scholars Engaging in Critical Dialogue with Racialized Communities

The arrival of the COVID-19 pandemic has resulted not only in the closing of national borders but also in the revival of symbolic borders informed by colonial, orientalist, and white supremacist legacies that have entrenched socioeconomic and racial inequalities, resulting in devastating impacts on migrant and refugee communities in the Global South and on racialized communities in the Global North. At the same time, racialized and migrant communities, and their allies, continue to struggle and reformulate strategies of survival and resistance. As social work educators and scholars situated in Quebec, Canada, the authors of this chapter aim to engage in critical dialogue and reflection about the ways in which COVID-19 has reorganized how they engage in social work research and education alongside oppressed communities and within their university and school of social work. The authors witnessed of the impacts of COVID-19 were shaped by forms of hypervulnerability that revived feelings of belonging and rejection to dominant and oppressed communities as well as silenced and intergenerational traumas. These dynamics were informed by historical colonial heritages that are often erased but then resurfaced in the form of colonial scars. As COVID-19 broke upon these colonial scars, the authors engage in critical dialogue about the ways in which their varied social locations and experiences shaped how they navigated complex "insider/outsider” dynamics. Through deep listening and giving account to oneself, a decolonial feminist approach in responding to COVID-19 crises is proposed. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Jing Si Herbal Drink as a prospective adjunctive therapy for COVID-19 treatment: Molecular evidence and mechanisms

Background: SARS-CoV-2 has led to a sharp increase in the number of hospitalizations and deaths from pneumonia and multiorgan disease worldwide;therefore, SARS-CoV-2 has become a global health problem. Supportive therapies remain the mainstay treatments against COVID-19, such as oxygen inhalation, antiviral drugs, and antibiotics. Traditional Chinese medicine (TCM) has been shown clinically to relieve the symptoms of COVID-19 infection, and TCMs can affect the pathogenesis of SARS-CoV-2 infection in vitro. Jing Si Herbal Drink (JSHD), an eight herb formula jointly developed by Tzu Chi University and Tzu Chi Hospital, has shown potential as an adjuvant treatment for COVID-19 infection. A randomized controlled trial (RCT) of JSHD as an adjuvant treatment in patients with COVID-19 infection is underway Objectives: This article aims to explore the efficacy of the herbs in JSHD against COVID-19 infection from a mechanistic standpoint and provide a reference for the rational utilization of JSHD in the treatment of COVID-19. Method(s): We compiled evidence of the herbs in JSHD to treat COVID-19 in vivo and in vitro. Result(s): We described the efficacy and mechanism of action of the active ingredients in JSHD to treat COVID-19 based on experimental evidence. JSHD includes 5 antiviral herbs, 7 antioxidant herbs, and 7 anti-inflammatory herbs. In addition, 2 herbs inhibit the overactive immune system, 1 herb reduces cell apoptosis, and 1 herb possesses antithrombotic ability. Conclusion(s): Although experimental data have confirmed that the ingredients in JSHD are effective against COVID-19, more rigorously designed studies are required to confirm the efficacy and safety of JSHD as a COVID-19 treatment.Copyright © 2021

CPAP therapy and the COVID pandemic

Introduction: Continuous positive airway pressure (CPAP) is an aerosol-generating procedure with increased potential to transmit COVID-19 during use. Our health service was located at the epicentre of the COVID-19 outbreak in Melbourne, Australia, placing our patients and staff at high risk of nosocomial COVID-19 infection. We describe our experience with a modified CPAP circuit utilising non vented masks and high efficiency microbial filters to reduce viral transmission in patients potentially infected with COVID-19. Method(s): Retrospective analysis of medical records and polysomnography (PSG) reports of 82 inpatients who used CPAP during admission, and 72 patients who underwent CPAP in-lab PSG with our modified circuit. This consisted of a non vented mask, 2 high efficiency microbial filters, an oxygen port (placed distal to a filter) for expiration, and ancillary equipment such as disposable tubing. Result(s): The mean age amongst inpatients (45 males/37 females) was 65.9 +/- 11.6 years. Equipment issues occurred in 28/82 patients. 9 patients (10.9%) chose not to use PAP therapy, 10 patients (12.2%) experienced excessive mask leak and 6 patients (7.3%) experienced discomfort. 7 patients (8.5%) were discharged before the circuit could be unmodified. The majority of issues occurred on non-respiratory wards. The mean age of in-lab PSG patients (48 males/24 females) was 51.3 +/- 13.6 years. 24 CPAP implementation, 31 CPAP treatment review and 17 split-night studies were included. Circuit modification did not impact the study conclusion in the majority (97.2%). Mask leak (13.9%) and patient discomfort (8.3%) were common. Conclusion(s): Our modified circuit was safe and well tolerated in the majority and did not significantly affect the outcome of in-lab CPAP studies.

Prototyping a Spatial Skills AR Authoring Tool for Partially Sighted, Blind, and Sighted Individuals

Spatial skills are critical for understanding the relations among objects and people, playing an important role in how we interact with the world. Spatial relationships are built through interactions with physical objects;however, in computational/online environments, these change to bi-dimensional media and computer-assisted design comprised of 3D representations viewable through a flat screen. Due to spatial immersion and interaction limitations, a traditional 2D and 3D approach presents challenges to partially sighted, blind, and sighted individuals. This paper presents the prototyping of a co-design Augmented Reality (AR) authoring tool by recruiting inclusive emerging affordances of consumer-level AR technologies within the context of current e-learning provisions in subject matters, including inclusive design, engineering design, game hardware design, and health sciences. This work has been inspired by the COVID-19 pandemic that has shown the need to level the field in inclusive design for teaching a subject typically oriented to the sighted. Our prototype allows users to create e-learning content for visualization, interaction, collaboration, and inclusive learning. Future work will investigate our tool's impact on skills development and content creation. © 2022 IEEE.

Do SEC filings indicate any trends? Evidence from the sentiment distribution of forms 10-K and 10-Q with FinBERT

Purpose: This study quantified companies' views on the COVID-19 pandemic with sentiment analysis of US public companies' disclosures. The study aims to provide timely insights to shareholders, investors and consumers by exploring sentiment trends and changes in the industry and the relationship with stock price indices. Design/methodology/approach: From more than 50,000 Form 10-K and Form 10-Q published between 2020 and 2021, over one million texts related to the COVID-19 pandemic were extracted. Applying the FinBERT fine-tuned for this study, the texts were classified into positive, negative and neutral sentiments. The correlations between sentiment trends, differences in sentiment distribution by industry and stock price indices were investigated by statistically testing the changes and distribution of quantified sentiments. Findings: First, there were quantitative changes in texts related to the COVID-19 pandemic in the US companies' disclosures. In addition, the changes in the trend of positive and negative sentiments were found. Second, industry patterns of positive and negative sentiment changes were similar, but no similarities were found in neutral sentiments. Third, in analyzing the relationship between the representative US stock indices and the sentiment trends, the results indicated a positive relationship with positive sentiments and a negative relationship with negative sentiments. Originality/value: Performing sentiment analysis on formal documents like Securities and Exchange Commission (SEC) filings, this study was differentiated from previous studies by revealing the quantitative changes of sentiment implied in the documents and the trend over time. Moreover, an appropriate data preprocessing procedure and analysis method were presented for the time-series analysis of the SEC filings. © 2022, Emerald Publishing Limited.

What makes nonprofit organizations (NPOs) talk transparently about their connections with businesses on Twitter? Insights from nonprofit-business network portfolios and resource dependencies

Drawing on network portfolio literature and resource dependence theory, this study investigates how a nonprofit's N2B partnership portfolio configurations (i.e., size and industry diversification), reliance on individual donations, and reliance on government grants influence the nonprofit's transparency in disclosing N2B partnerships on Twitter. We manually coded the level of transparency reflected in 911 tweets sent by 81 leading COVID-19 NPOs mentioning 501 companies from March 1 to July 19, 2020. Social network analysis and regression models were performed to answer the research inquiries. Findings indicate that maintaining a large number of business connections is associated with lowered transparency in N2B communication on Twitter, whereas keeping diverse connections with different business industries relates to increased transparency in N2B communication. NPOs with a stronger reliance on government grants signaled more transparency in N2B parentships on Twitter, but the reliance on individual donations did not influence N2B transparency signaling. © 2023 Elsevier Inc.

Speech handicap and vocal tract discomfort with different types of face masks in the COVID-19 era

Purpose: Compulsory use of masks is recommended to prevent droplet infection during the COVID-19 pandemic. This can alter optimal communication in daily life. This study compared the self-perceived speech handicap and vocal tract discomfort when wearing and not wearing a face mask and different types of face masks in a healthy population. Methods: This is a cross-sectional study conducted via an online questionnaire. Speech Handicap Index (SHI) and Vocal Tract Discomfort Scale (VTDS) scores were collected via Google forms (Google, Mountain View, California) from 128 healthy Korean populations with and without face masks and different types of face masks. Results: While speaking with a face mask, subjects were identified with a significant lack of air, unclear articulation, and reduced speech intelligibility in a noisy situation. Although total SHI and VTDS scores exhibited slightly higher with a face mask, no significant differences were found between with and without mask conditions. For mask type, individuals who frequently wore KF94 masks subjectively perceived significantly higher speech handicap and vocal tract discomfort than surgical or fabric masks. Conclusions: In the current study, wearing a face mask did not have a significant impact on speech handicap and vocal tract discomfort in a healthy adult population during the CO-VID-19 pandemic period, implying people already adapted to wearing a face mask. In terms of speech problems and frequency, the severity of sensation or symptoms of vocal discomfort significantly differed depending on which face mask type they used. Future research should address self-evaluation of their feeling or experience due to face mask use, considering the elderly and patients with communication disorders who suffer more with communication in daily life. © 2022 The Korean Association of Speech-Language Pathologists.

COVID-19 treatment and outcomes: trends over 20 months in 338,930 US hospital patients with COVID-19 and pneumonia

Methods: This retrospective study included adults with COVID-19 (ICD-10: U07.1) and pneumonia (ICD-10 subcodes within J11.x - J16.x, J18.x) May 2020-December 2021 in the Premier Healthcare Database, analyzing severity, treatment patterns and clinical outcomes. Result(s): Between May 2020 and December 2021: N=338,930 patients in 856 hospitals 79% of patients received any dexamethasone(DEX);>50% received any remdesivir(RDV) Combination therapy use increased: DEX+RDV only from <1% of patients to 29%;DEX+RDV with baricitinib or tocilizumab from <1% to 19% RDV initiation in the first 2 days of hospitalization increased 41% to 88% Overall all-cause mortality increased 19% to 24% with large differences between severity subgroups: in December 2021, 20%, 32%, 46% and 60%, respectively, in no supplementary oxygen(NSOc), low-flow(LFO), highflow/non-invasive(HFO/NIV) and invasive mechanical ventilation/ECMO(IMV/ECMO) Overall median hospital LOS and ICU LOS remained between 6-10 days, with notable variation by severity subgroup and over time Overall ICU use was 35%-38%, with large differences by severity subgroups: in December 2021, 28%, 47%, 67% and 94%, respectively, in NSOc, LFO, HFO/NIV and IMV/EC Conclusion(s): COVID-19 can result in severe outcomes;understanding treatment and severity trends can improve prognosis.

Mapping changes in human mobility for dining activities: a perceived risk theory perspective

Purpose: This study aims to explain how the impact of COVID-19 on human mobility is affected by the perceived risk of the pandemic. Design/methodology/approach: Using a statistical analysis and a geographic visualization technique, we investigate whether and how changes in people's restaurant visiting patterns during COVID-19 vary with their level of risk perception. Findings: The changes in people's restaurant visiting patterns vary with their risk perception: the tendency to increase the number of visits to restaurants located in non-popular areas is related to the level of perceived risk. Originality/value: This research confirms the importance of risk perception when examining the pandemic's multi-dimensional impacts. © 2023, Emerald Publishing Limited.