Nonlinear dynamics modeling and epidemic forecast of COVID-19

To study the spreading trend and risk of COVID-19, according to the characteristics of COVID-19, this paper proposes a new transmission dynamic model named SLIR(susceptible-low-risk-infected-recovered), based on the classic SIR model by considering government control and personal protection measures. The equilibria, stability and bifurcation of the model are analyzed to reveal the propagation mechanism of COVID-19. In order to improve the prediction accuracy of the model, the least square method is employed to estimate the model parameters based on the real data of COVID-19 in the United States. Finally, the model is used to predict and analyze COVID-19 in the United States. The simulation results show that compared with the traditional SIR model, this model can better predict the spreading trend of COVID-19 in the United States, and the actual official data has further verified its effectiveness. The proposed model can effectively simulate the spreading of COVID-19 and help governments choose appropriate prevention and control measures. Copyright ©2023 Control and Decision.

Research on impacts of COVID-19 on students' clinical social work career determination in Taiwan

A quantitative method is adopted to survey 197 students at the department of social work at a university in Taiwan from April to May in 2020. The study aims to explore the impact of the new coronavirus on social work students' career determination. The result presents the participants with higher social loneliness have lower "Career Determination of Clinical Medical Social Work (CDCMSW)", and the mental burden feeling, and family relationship are predictive of the CDCMSW. © 2023 Author(s).

Vaccine Uptake in a Predominantly Black and Latinx Cohort Hospitalized for Covid-19

Background: Vaccine uptake has been notably lower in minoritized populations in the United States. The impact of previous infection with SARSCoV- 2, disease severity, and persistent symptoms on the uptake of COVID-19 vaccines and boosters in predominantly Black and Latinx communities has not been examined. We aimed to describe correlates of vaccine uptake in a minoritized cohort hospitalized for COVID-19 during the first pandemic wave in New York City, and investigate whether those with more severe initial COVID-19 and persistent symptoms would be less likely to get vaccinated. Method(s): This retrospective cohort study included the electronic medical records of the first 894 consecutive adult patients who survived hospitalization for COVID-19 at a large quaternary care medical center in Northern Manhattan between 1 March and 8 April 2020. We ed data regarding demographics, comorbidities, oxygen requirements during hospitalization, persistence of symptoms at 3- and 6-months after admission, COVID-19 vaccinations through November 2022, and influenza vaccination during the 2018-2019 through 2021-2022 seasons. Unadjusted and adjusted logistic regression analyses were conducted to describe the predictors of COVID-19 vaccination, delayed vaccination (first dose after 6 May 2021), and receipt of a booster vaccine. Statistical analyses were performed using R V.4.2.1. Result(s): The cohort of 894 patients was predominantly Latinx (54%) and Non- Hispanic Black (15%). 41% received at least one influenza vaccine pre-COVID, and 67% had at least one comorbidity. 22% (199/894) remained COVID-19 unvaccinated. Of the individuals who received at least one dose of COVID-19 vaccine, 57% (397/695) received at least one booster. Exactly 31% (212/695) delayed vaccination. 25% (27/106) of unvaccinated individuals reported persistent generalized symptoms compared to 18% (78/436) of vaccinated individuals. Multiple logistic regression showed that Hispanic/Latinx ethnicity, age 35-64, and concurrent influenza vaccination were associated with increased COVID-19 vaccine uptake. No association was found between vaccine uptake and disease severity or persistence of symptoms. Conclusion(s): Achieving a deeper understanding of the factors driving vaccine hesitancy is critical to increasing and sustaining acceptance of COVID-19 vaccination especially in communities with historically low uptake of annual vaccines.

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

Effects of risk message on loneliness and travel intention: roles of conflictive family atmosphere and risk propensity in the context of COVID-19 pandemic

This study examines the effects of risk message frames on tourists' post-pandemic travel intention via the meditation of loneliness and went further to investigate the roles of conflictive family atmosphere and risk propensity in moderating these effects. A situational experiment was conducted in China resulting 622 valid responses. The study found that respondents in risk attenuating frame had higher travel intention than those in risk amplifying frame;social loneliness partially mediated the effect of risk message on travel intention. Conflictive family atmosphere moderated the effects of risk message on social loneliness and travel intention. And risk propensity alleviated the negative impact of risk message on travel intention. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Cross-border issues and technology and management solutions during COVID-19

Critical cross-border issues have emerged during the COVID-19 pandemic, especially pertaining to security, supply chain, and education, which has led to several new challenges for management. The balance between potential risks and economic benefits has attracted the attention of both industry and academia. Hence, we invited three panelists to participate in the 2021 Association for Information Systems (AIS) Special Interest Group (SIG) on Information Systems in Asia Pacific (ISAP) workshop. The suggested solutions include the right Internet approach, multi-national cooperation to develop flexible global operations, and people's education (especially refugees) to mitigate risks. These solutions encompass three levels, i.e., technology, management, and society. © 2023 Xi'an Jiaotong University

Analysis on occurrence and risk factors of drug-induced liver injury in patients with novel coronavirus pneumonia.

Objective: To analyze the occurrence and risk factors of drug-induced liver injury (DILI) in patients with novel coronavirus pneumonia (COVID-19). Method(s): The medical records of patients with COVID-19 who were discharged from the First Hospital of Changsha from January 15 to March 7, 2020 were collected and the patients were divided into the DILI group and the non-DILI group based on DILI diagnostic criteria. Basic information of patients in the 2 groups including gender, age, underlying diseases, classification of COVID-19, liver function test results on admission and after medication, drug use, time to DILI onset after medication, and treatments and outcomes of DILI were recorded and compared. The incidence of DILI in patients with COVID-19 was calculated, and the factors whose P<0.05 in inter-group comparison were included in the multivariate logistic regression analysis to calculate the odds ratio (OR) and95% confidence interval (CI). Result(s): A total of 203 discharged patients with COVID-19 met the inclusion criteria. Of them, 36 patients developed DILI, the incidence was 17.73%. Between the DILI group and the non-DILI group (167 patients), the differences were statistically significant in gender distribution, proportion of patients with underlying diseases such as hypertension, fatty liver, and cholelithiasis, clinical classification of COVID-19, and the kinds of drug use (P<0.05 for all), but not statistically significant in levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and total bilirubin (TBil) on admission (P>0.05 for all). The levels of ALT and AST in patients in the DILI group after medication were higher than those before medication, and the differences were statistically significant (P<0.001 for all). The median time for time to DILI onset after medication was 8 (6, 11) days and none of the patients had obvious clinical signs and symptoms. After the occurrence of DILI, 16 patients stopped the suspicious drugs and received liver-protective treatments, 6 patients only stopped the suspicious drug without additional treatments, and 14 patients received liver-protective treatments without drug withdrawal. Among the 36 patients in the DILI group, liver function were improved in 34 patients but did not returned to normal in 2 patients when they were discharged from the hospital. Multivariate logistic regression analysis showed that male (OR=3.939, 95%CI: 1.426-10.883, P=0.008), being severe and critical in clinical classification (OR=6.433, 95%CI: 2.411-17.162, P<0.001), fatty liver (OR=3.815, 95%CI: 1.298-11.215, P=0.015), cholelithiasis (OR=16.347, 95%CI: 1.267-210.990, P=0.032), and the kinds of drug use >8 (OR=10.181, 95%CI: 3.606-28.744, P<0.001) were the independent risk factors of DILI in patients with COVID-19. Conclusion(s): The incidence of DILI in COVID-19 patients discharged from the First Hospital of Changsha is 17.73%. Male, being severe and critical in clinical classification of COVID-19, fatty liver, cholelithiasis, and the kinds of drug use >8 are the independent risk factors for DILI patients with COVID-19.Copyright © 2020 by the Chinese Medical Association.

Expert consensus on diagnosis and treatment of adult mental stress-induced hypertension in China (2022 Revision): Part B

Mental stress has been recognized as an essential risk factor for hypertension. Therefore, experts specializing in cardiology, psychiatry, and Traditional Chinese Medicine organized by the Psycho-cardiology Group, College of Cardiovascular Physicians of Chinese Medical Doctor Association, and Hypertension Group of the Chinese Society of Cardiology proposed the expert consensus on the diagnosis and treatment of adult mental stress-induced hypertension in March 2021, which includes the epidemiology, etiology, diagnosis, and treatment of the mental stress-induced hypertension. This consensus will hopefully facilitate the clinical practice of this disorder. In addition, the COVID-19 pandemic has become one of the primary global sources of psychosocial stressors since the beginning of 2020, and the revision of this expert consensus in 2022 has increased the relevant content. This consensus consists of two parts. The sections of Part A include (I) Background and epidemiological characteristics, (II) Pathogenesis, and (III) Diagnosis. The sections of Part B contain (IV) Treatment recommendations, and (V) Prospects. This article presents Part B of the consensus. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

Expert consensus on diagnosis and treatment of adult mental stress induced hypertension in China (2022 revision): Part A

Mental stress has been recognized as an essential risk factor for hypertension. Therefore, experts specializing in cardiology, psychiatry, and Traditional Chinese Medicine organized by the Psycho-Cardiology Group of College of Cardiovascular Physicians of Chinese Medical Doctor Association and Hypertension Group of Chinese Society of Cardiology proposed the expert consensus on the diagnosis and treatment of adult mental stress-induced hypertension in March 2021, which includes the epidemiology, etiology, diagnosis, and treatment of the mental stress-induced hypertension. This consensus will hopefully facilitate the clinical practice of this disorder. In addition, the COVID-19 pandemic has become one of the primary global sources of psychosocial stressors since the beginning of 2020, and the revision of this expert consensus in 2022 has increased the relevant content. This consensus consists of Part A and Part B. Part A includes (I) Background and epidemiological characteristics, (II) Pathogenesis, and (III) Diagnosis and Part B includes (IV) Treatment recommendations and (V) Prospects. This part presents the content of Part A. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

The Antibody Response of an MMF-Containing Immunosuppressive Regimen Aftercovid-19 Vaccination in Asian Heart Transplant Recipient

Organ transplant recipients have diminished humoral immune responses to COVID-19 vaccination than the general population. The current study have reported the risk factors about the antibody response after vaccination. Data from several studies show that to use of mycophenolate mofetil (MMF) as a major factor associated with poor antibody response after COVID-19 vaccination. But little is known at heart transplant recipients(HTXs) and in Asian race. We performed a single-center, prospective observational cohort study of 59 HTXs from National Taiwan University Hospital, Taiwan, was conducted between Jun 1, 2021 and July 31, 2022. We identified the response of antibody titers after vaccination and there were stratified into two categories: with MMF;without MMF. Anti‐spike IgG (S‐IgG) antibody was determined at a specified time point, which is 30 days after each dose of vaccine, and a S‐IgG value of 0.8 U/mL or higher was considered positive (Roche Diagnostics). We enrolled 59 patients (age: 53±13 years;86 % were men) with a negative SARS-CoV-2 anti-nucleocapsid antibody test. 21 patients received an immunosuppressive regimen with MMF, Among these patients, 21 received an immunosuppressive regimen with MMF (36%) throughout the study period. The time period of vaccine administration between the first and the second dose ranged from 28 to 135 days. The time period between the second and the third dose ranged from 34 to 182 days For those recipient, tacrolimus blood levels is 2.6 to 12.1 ng/mL, MMF is given in dose of 250 to 3000 mg QD, the everolimus(EVR) blood level is 1.6 to 5 ng/mL before the first vaccination. The antibody response positive of HTXs on a MMF-containing immunosuppressive regimen were 13% after first vaccination, whereas the response on the no-MMF regimen was significantly higher at 50% (P = 0.002). And the antibody response titer of an MMF-containing group is were significantly lower than no MMF-containing group (P = 0.019 and P = 0.002) after 1 and 2 vaccinations. An immunosuppressive regimen with MMF (no/with EVR) is hampered the antibody response after COVID-19 2 vaccinations and no significantly after COVID-19 3 vaccinations(p=0.101). The result will not affected by the type of vaccination. This finding should be investigated in larger cohorts, including transplant recipients of all races. [ABSTRACT FROM AUTHOR] Copyright of Journal of Heart & Lung Transplantation is the property of Elsevier B.V. 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

COVID-19 two years on: a review of COVID-19-related empirical research in major tourism and hospitality journals

Purpose: This study aims to provide a timely review of the COVID-19-related empirical research published in 19 quartile one (Q1) and quartile two (Q2) tourism and hospitality journals in social science citation index (SSCI). Design/methodology/approach: A total of 407 COVID-19-related empirical papers were collected from the 19 SSCI Q1 and Q2 tourism and hospitality journals via Scopus database. Thematic content analysis was supplemented with Leximancer software to identify the research themes/subthemes, research methods and countries/regions of research. Findings: The study found studies of COVID-19's impact on consumer behaviour predominate in number, followed by studies on response actions and recovery strategies, impact on industry or sectors and impact on workers and employees. Based on the research themes identified, a knowledge mapping framework was produced. Over 70% of the studies used quantitative methods with quantitative survey as the dominant method of data collection. The USA and China were found to be the most studied countries. Research limitations/implications: The study reviewed empirical research papers until January 2022 and covered most of the COVID-19-related empirical works in the field. An overview of the current state of COVID-19-related empirical research was provided with some critical discussions and suggestions for future research topics. Originality/value: The findings give researchers a clear index for the current state of the art of COVID-19 research in hospitality and tourism. The paper provides practical implications for industry practitioners to retrieve relevant knowledge from the recent COVID-19-related literature in tourism and hospitality in coping with practical challenges brought by the COVID-19 pandemic. © 2022, Emerald Publishing Limited.

Robots or humans for disaster response? Impact on consumer prosociality and possible explanations

Hurricanes, wildfires, pandemics, and other disasters have taken millions of lives in the past few years and caused substantial economic losses. To tackle these extraordinary circumstances, governments, organizations, and companies seek assistance from both humans and high-technology machines such as robots. This research report documents how highlighting robots' (vs. humans') helping behaviors in disaster response can affect consumers' prosociality, explores driving mechanisms, and tests solutions. Study 1 found that consumers donated fewer items of clothing after watching news highlighting robots' (vs. humans') assistance in a mudslide disaster. Featuring the COVID-19 pandemic, Study 2 further showed that this decrease in prosociality occurred because reading about robots' assistance felt less encouraging/inspiring to consumers. Studies 3A-3C (and a supplemental study) explored multiple mechanisms and identified a key driver for the backfire effect—a lower perception of courage in disaster response robots. Accordingly, Study 4 tested three theory-driven solutions to raise the perceived courage in robots to increase consumer prosociality. © 2022 Society for Consumer Psychology.

Rapid construction of modular buildings for emergencies: A case study from Hong Kong, China

A new wave of the Covid-19 pandemic struck Hong Kong in February 2022. It led to construction of a temporary 1000-bed hospital and 10 000-bed isolation and treatment facility on an island site in just 51 days using factory-made modules. To achieve such rapid construction, module assembly was carried out at a separate site between the factories and site. Several new modular construction technologies were also developed, including adjustable base supports, large-span roof modules, universal safety barriers and an intelligent cloud platform for construction management. But to enable sustainable construction of such emergency buildings in future, further studies on demolition, recycling and relocation of modular buildings need to be carried out in the post-pandemic era. © 2022 ICE Publishing: All rights reserved.

Evaluating Barriers and Potential Solutions to Speaking Up About COVID-19 Symptoms: A Survey Among Nursing Home Workers

Background. Nursing homes (NHs) are high risk settings for COVID. Staff are the primary source for introducing COVID into a NH. Preventing staff from working when ill is key to resident safety. NH staff face significant socioeconomic pressures that may influence their willingness to report COVID symptoms. Understanding the drivers behind unreported illness can inform ways to prevent working when ill. Methods. We conducted a confidential survey of 120 COVID-positive NH staff in Orange County, CA from Dec '20-Feb '22 to quantify the frequency and drivers of unreported COVID symptoms. We designed a 40-item survey to assess demographics, course of illness, symptom reporting behavior, and monetary, logistic, and emotional (stigma/fear) barriers to reporting using a 5-point Likert scale. Recruitment flyers were shared with all 70 NHs in the county and referrals were accepted from NH leadership. Participants received $50 for completing the 20-30 min phone-based survey. We calculated summary statistics, transformed all data to a 0-100 scale, assessed the reliability of each factor related to reporting at the group level using Cronbach's alpha, and assessed discriminant validity with t-tests comparing responses among subsets expected to differ. Results. Table 1 shows participant characteristics. 49% of surveys were during the 2020-21 winter wave and 51% were during the Delta/Omicron waves, with a relatively even distribution of certified nursing assistants (CNAs), nurses, and nonfrontline staff. Most cases (70%) were detected by routine testing at the NH and most (63%) had >=1 symptom prior to their test. Only 39% disclosed their symptom to a supervisor. It is unknown how many staff would have disclosed symptoms if they were not captured during routine testing. Responses were consistent across 15 discrete factors with Cronbach alpha >0.7. Overall, fear and encouragement from supervisors were the most salient factors for speaking up about COVID symptoms (Table 2). Responses varied between the two waves and between frontline vs nonfrontline workers. Conclusion. Frequent surveillance testing of NH staff during a pandemic is critical due to many factors that drive reluctance to speak up about potential symptoms. Encouragement from supervisors to report symptoms and stay home when ill may improve NH safety.

CLUSTER Trial An 82 U.S. Hospital Cluster Randomized Trial (CRT) to Assess the Impact of an Automated Statistical Outbreak Detection Tool and Response Protocol to Limit Hospital Transmission

Background. The CLUSTER trial assessed the impact of prospective identification of clusters coupled with a response protocol on the containment of hospital clusters. Methods. This 82-hospital CRT in 16 states compared clusters of bacterial and fungal healthcare pathogens using a statistical outbreak detection tool (WHONET-SaTScan) coupled with a standardized response protocol (automated cluster detection arm) compared to routine surveillance with the response protocol (control arm). Trial periods: 24 mo Baseline (2/17-1/19);5 mo Phase-in (2/19-6/ 19);30 mo Intervention (7/19-1/22). The primary outcome was the number of additional cases occurring after initial cluster detection. Analyses used generalized linear mixed models to assess differences in additional cases between the intervention vs baseline periods across arms, clustering by hospital. Results were assessed overall and, to account for the effect of COVID-19 on hospital operations, stratified into pre-COVID-19 (7/19-6/20) and during COVID-19 (7/20-1/22) intervention periods. We also assessed the probability that a patient was in a cluster. Results. In the baseline period, the automated cluster detection and control arms had 0.09 and 0.07 additional cluster cases/1000 admissions, respectively. The automated cluster detection arm had a 22% greater relative reduction in additional cluster cases in the intervention vs baseline period compared to control (P=0.5). Within the intervention period, the automated cluster detection arm had a significant 64% relative reduction pre-COVID-19 (P< 0.05) and a non-significant 6% relative reduction during COVID-19 (P=0.9) compared to control (Figure). When evaluating patient risk of being part of a cluster across the entire intervention period, the automated cluster detection arm had a significant 35% relative reduction vs control (P< 0.01). Conclusion. A statistical automated tool coupled with a response protocol improved cluster containment by 64% pre-COVID-19 but not during COVID-19;there were no significant differences between the arms when using the entire intervention period. Automated cluster detection may substantially improve outbreak containment in non-pandemic periods when infection prevention programs are able to optimize containment protocols. (Figure Presented).

Increasing Bioburden of Candida auris Body Site Colonization is Associated with Environmental Contamination

Background: Environmental contamination is suspected to play a key role in transmission of Candida auris in healthcare facilities. We recently showed that environmental surfaces near C. auris-colonized patients are commonly recontaminated within hours after disinfection. Clinical factors contributing to environmental contamination are not well characterized. Methods: We conducted a multi-regional (Chicago, IL;Irvine, CA) prospective study of environmental contamination associated with C. auris colonization at six long-term care facilities (LTCF) and 1 acute-care hospital (ACH). On day of sampling, 5 participant body sites were cultured once, followed by routine daily room cleaning by facility staff, then targeted disinfection of high-touch surfaces with hydrogen peroxide wipes by research staff. Surfaces were cultured for C. auris using pre-moistened sponge-sticks and neutralizer immediately pre- and post-disinfection, and 4, 8, and 12 hours post-disinfection. We calculated the odds of surface recontamination after disinfection as a function of body site colonization with C. auris using generalized estimating equations to account for clustering among multiple surfaces within timepoints, patients, and facilities. Models included an interaction between facility type and colonization. Results: C. auris was cultured from ≥1 body site in 41 participants (12 ACH and 29 LTCF patients, 205 body sites) on day of sampling. Proportion of body sites colonized did not vary by facility type (Table). Although environmental contamination rates were similar prior to disinfection [ACH 38% (n=60 samples) vs LTCF 29%, (n=145 samples), p=0.209)], the proportion of surfaces recontaminated between 4–12 hours after disinfection was higher in ACH vs LTCF (n=574 samples) (Figure). Number of body sites colonized with C. auris was associated with higher odds of environmental recontamination [ACH: OR 2.16 (95% CI 1.63–2.88), p< 0.001;LTCF: OR 1.40 (95% CI 1.07–1.84), p=0.015;Interaction ACH vs LTCF p< 0.001].Figure.Percent of Environmental Surfaces Recontaminated with C. auris within 12 hours of Cleaning by Facility Type Conclusion: The number of body sites colonized was associated with odds of C. auris environmental contamination. Differences in environmental recontamination by facility type may be related to greater provider-patient interactions in ACH as a driving factor. Disclosures: Gabrielle M. Gussin, MS, Medline: Conducted studies in which hospitals and nursing homes received contributed antiseptic and/or environmental cleaning products;Stryker: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products;Xttrium Laboratories: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products Raveena D. Singh, MA, Medline: Conducted studies in which hospitals and nursing homes received contributed antiseptic and/or environmental cleaning products;Stryker: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products;Xttrium Laboratories: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products Raheeb Saavedra, AS, Medline: Conducted studies in which hospitals and nursing homes received contributed antiseptic and/or environmental cleaning products;Stryker: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products;Xttrium Laboratories: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products Nicholas M. Moore, PhD, D(ABMM), Abbott Molecular: Grant/Research Support;Cepheid: Grant/Research Support Susan S. Huang, MD, MPH, Medline: Conducted studies in which hospitals and nursing homes received contributed antiseptic and/or environmental cleaning products;Molnlyke: Conducted clinical studies in which hospitals received contributed antiseptic product;Stryker: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic products;Xttri m Laboratories: Conducted clinical studies in which hospitals and nursing homes received contributed antiseptic product Mary K. Hayden, MD, Sanofi: Member, clinical adjudication panel for an investigational SARS-CoV-2 vaccine.

The Influence of Phygital Learning: The User Expectations of Perceived Usability of Practical and Theoretical Courses

Recently, due to the coronavirus pandemic, we are experiencing a revolution that is transforming the way, the education has now shifted to an "physical plus digital” or "phygital” multimodal. This paper analyses the students' behavioral intention to the phygital learning, meaning how students use online learning platform (e.g. Moodle), collaboration application (e.g. Microsoft teams), chat application (e.g. Wechat) and device (e.g. smartphone, laptop) of a course. For the evaluation purpose is followed by using the Semantic Differential Technique to distinguish the usage attitude of computer and smartphone. The Usage Questionnaire is followed by the System Usability Scale (SUS), which is a Human Computer Interaction (HCI) based approach, and the Technology Acceptance Model (TAM), which is an Information Systems (IS) based approach. The sample size consisted of 68 participants completed the survey questionnaire measuring their responses to perceived usefulness (PU), perceived ease of use (PEOU) and attitudes towards usage (ATU). Through simultaneously both these instruments in one work for the purpose of usability evaluation. By doing so, this work attempts to streamline and unify the process of usability evaluation. Results that are obtained from a large-scale survey of university students show the attitudes towards usage on phygital learning. Moreover, this work also considers the digital-divide aspect (mobile v.s. web environment) whether it has any effect on the perceived usability. Results show that the multiple education modal could reduce the stress on the learning. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation

Previous research for adapting a general neural machine translation (NMT) model into a specific domain usually neglects the diversity in translation within the same domain, which is a core problem for domain adaptation in real-world scenarios. One representative of such challenging scenarios is to deploy a translation system for a conference with a specific topic, e.g., global warming or coronavirus, where there are usually extremely less resources due to the limited schedule. To motivate wider investigation in such a scenario, we present a real-world fine-grained domain adaptation task in machine translation (FGraDA). The FGraDA dataset consists of Chinese-English translation task for four sub-domains of information technology: autonomous vehicles, AI education, real-time networks, and smart phone. Each sub-domain is equipped with a development set and test set for evaluation purposes. To be closer to reality, FGraDA does not employ any in-domain bilingual training data but provides bilingual dictionaries and wiki knowledge base, which can be easier obtained within a short time. We benchmark the fine-grained domain adaptation task and present in-depth analyses showing that there are still challenging problems to further improve the performance with heterogeneous resources. © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

Hcv Testing Pattern Improvements after New Universal Screening Ehr Alert Implementation at a Large Healthcare System

Background: Screening for HCV is the first critical decision point for preventing morbidity and mortality from HCV cirrhosis and hepatocellular carcinoma, and will ultimately contribute to global elimination of a curable disease. This study aims to portray the changes over time in HCV screening rates and the screened population characteristics following the 2020 implementation of an EHR alert for universal screening in the outpatient setting in a large healthcare system in the US mid-Atlantic region. Method(s): Data was ed from the EHR on all outpatients from 1/1/2017 through 10/31/2021, including individual demographics and their HCV antibody screening dates. Mixed effects multivariable regression analyses were performed to compare the timeline and characteristics of those screened and un-screened for a limited period from 1/1/2020 to 10/31/2020 and centered on the EHR alert implementation. Result(s): Absolute number of screens increased by 103% after the implementation of the EHR alert. When comparing the five-month period before and after the EHR alert, the odds of being screened at an outpatient visit increased by 62% from 17 to 27 screens per 1,000 outpatient visits. Also during this time period, patients with Medicaid were more likely to be screened than private insurance (ORadj 1.10, [CI95: 1.05, 1.15]), females more likely than males (1.26, [1.20, 1.32]);Black race more than White (1.59, [1.53, 1.64]);while those with Medicare were less likely than private insurance (0.62, [0.62, 0.65]). Over the entire 58-month period, the HCV Ab positivity rate decreased from 4.2% to 1.5%. Conclusion(s): Implementation of a universal HCV screening EHR alert was followed by a large increase in absolute screens and screening rates in the outpatient setting, despite the concurrent onset of the COVID-19 pandemic. These findings support that such an alert could play a crucial role in identification and subsequent elimination of HCV. Females, Black race and Medicaid patients were screened at higher rates, suggesting possible bias toward certain groups. Targeted testing in addition to universal screening remains a need despite much higher screening rates -expectedly, the proportion screened decreased, however the absolute number of HCV positive individuals decreased over time (data not shown). Our findings suggest that an EHR alert for universal screening could play a crucial role as the first step in identification and then elimination of HCV.