Dynamic Safety Assessment and Enhancement of Port Operational Infrastructure Systems during the COVID-19 Era

Seaports function as lifeline systems in maritime transportation, facilitating critical processes like shipping, distribution, and allied cargo handling. These diverse subsystems constitute the Port Infrastructure System (PIS) and have intricate functional interdependencies. The PIS is vulnerable to several external disruptions, and the impact of COVID-19 is severe and unprecedented in this domain. Therefore, this study proposes a novel general port safety framework to cope with recurring hazards and crisis events like COVID-19 and to augment PIS safety through a multi-state failure system. The PIS is divided into three critical subsystems: shipping, terminal, and distribution infrastructure, thereby capturing its functional interdependency and intricacy. A dynamic input-output model is employed, incorporating the spatial variability and average delay of the disruption, to determine the PIS resilience capacity under the stated disruptions. This study simulates three disruption scenarios and determines the functional failure capacity of the system by generating a functional change curve in Simulink. This study offers viable solutions to port managers, terminal operators, and concerned authorities in the efficient running of intricate interdependent processes and in devising efficient risk control measures to enhance overall PIS resilience and reliability. As part of future studies, given the difficulty in obtaining relevant data and the relatively limited validation of the current model, we aim to improve the accuracy and reliability of our model and enhance its practical applicability to real-world situations with data collected from a real-world case study of a PIS system.

The COVID-19 pandemic and the characteristic comparison of English achievement tests

Aim. The objectives of this research were to characterize and contrast the features of English language proficiency tests conducted before and during the COVID-19 pandemic. Methodology and research methods. Before coronavirus pandemic, there were 287 students;during pandemic, there were 288 pupils;there were also an English teacher and a forum for English teachers. Through documentation and interviews, the information was gathered from eighth-graders at SMP Negeri 2 Semarang in Central Java, Indonesia. Results. Some aspects of English accomplishment tests made before COVID-19 can be seen. First, the percentages of items in the Easy, Moderate, and Difficult categories are 55%, 37.5%, and 7.5%, respectively. The item discrimination percentages for the Poor, Fair, Good, and Very Good categories are 10%, 30%, 25%, and 35%, respectively. Third, the distractor's effectiveness as a percentage is 53.30% and 46.70%. (effective: ineffective). Finally, the test reliability value is 0.990. The English proficiency test created during COVID-19 exhibits some of the same traits. First, the percentages for Easy, Moderate, and Difficulty categories for item difficulty: 10%, 84%, and 6%. The item discrimination percentages for the Poor, Fair, Good, and Very Good categories are 2%, 4%, 14%, and 80%, respectively. Third, the distractor's percentage efficacy is 99.30%: 0.70% (effective: ineffective). Finally, the test reliability value is 0.960. The foundation of classical test theory (CTT) was the effectiveness of the distractor, item difficulty, and item discrimination. The exams administered during coronavirus pandemic were more normally distributed than the tests administered prior to pandemic based on item difficulty. The tests given during coronavirus pandemic fell more into the very good category than the tests given before pandemic, according to item discrimination. In comparison to tests conducted before to coronavirus pandemic, more tests during pandemic were classified as effective based on the distractor's effectiveness. Both tests were compared based on the data of the collected features. The English achievement exam created during the epidemic was determined to be superior to the test created prior to the outbreak based on CTT. However, the English performance exam created before the epidemic is superior than that created during the pandemic, according to Item Response Theory (IRT). IRT was based on item fit and dependability. Testing for dependability before COVID-19 is more accurate than during pandemic. Before COVID-19, item fit tests were more favorable than during pandemic. Conclusions. The English proficiency test that was created during the epidemic is superior to the test that was created prior to the pandemic based on CTT. But according to IRT, the English proficiency exam created before the pandemic is superior to that created during the pandemic. © 2023 LLC Ecological Help. All rights reserved.

Next normal for business post pandemics: COVID-19

The world's supply chains are changing as both expected and unexpected environmental pandemics occur. Even though some may be expected, the full extent and ramifications a pandemic will have is an estimate at best. Thus, both flexibility and resiliency are becoming crucial to efficient supply chain systems. This study analyses the recent COVID-19 phenomenon and uses it to gauge reactions, best practices, resilience-based issues and operational performance metrics in order to assist with potential future pandemics. Education, as seen, plays a pivotal role in effectively offering options to combat uncertainty and fluid situations. Such dynamic environments have historically posed a serious problem to operations;however, with proper preparation and care taken options are available today that help marginalize harm of future pandemics.

Detection and Classification of Pneumonia Using Deep Learning by the Dense Net-121 Model

A chronic respiratory disease known as pneumonia can be devastating if it is not identified and treated in a timely manner. For successful treatment and better patient outcomes, pneumonia must be identified early and properly classified. Deep learning has recently demonstrated considerable promise in the area of medical imaging and has successfully applied for a few image-based diagnosis tasks, including the identification and classification of pneumonia. Pneumonia is a respiratory illness that produces pleural effusion (a condition in which fluids flood the lungs). COVID-19 is becoming the major cause of the global rise in pneumonia cases. Early detection of this disease provides curative therapy and increases the likelihood of survival. CXR (Chest X-ray) imaging is a common method of detecting and diagnosing pneumonia. Examining chest X-rays is a difficult undertaking that often results in variances and inaccuracies. In this study, we created an automatic pneumonia diagnosis method, also known as a CAD (Computer-Aided Diagnosis), which may significantly reduce the time and cost of collecting CXR imaging data. This paper uses deep learning which has the potential to revolutionize in the area of medical imaging and has shown promising results in the detection and classification of pneumonia. Further research and development in this area is needed to improve the accuracy and reliability of these models and make them more accessible to healthcare providers. These models can provide fast and accurate results, with high sensitivity and specificity in identifying pneumonia in chest X-rays. © 2023 IEEE.

Evaluation of animal biosafety webinar series for professionals working in animal facilities across Pakistan during the COVID-19 pandemic

Experimental research with animals can help the prevention, cure, and alleviation of human ailments. Animal research facilities are critical for scientific advancement, but they can also pose a higher risk than other biomedical laboratories. Zoonosis, allergic reactions, bites, cuts, and scratches by animals are all substantial concerns that can occur in animal facilities. Furthermore, human error and unexpected animal behavior pose a risk not just to humans, but also to the environment and the animals themselves. The majority of biosafety and biosecurity training programs focus on clinical and biomedical laboratories dealing with human safety factors, with little emphasis on animal biosafety. The current virtual training was designed to improve biosafety and biosecurity capabilities of animal laboratory personnel, researchers, and veterinarians from different regions of Pakistan. The results revealed that understanding was improved regarding triggers for risk assessment in addition to annual and regular reviews (56% to 69%), biosecurity (21% to 50%), decontamination (17% to 35%), safe handling of sharps (21% to 35%), Dual Use Research of Concern (DURC) (17% to 40%), Personal Protective Equipment (PPE) usage by waste handlers (60.9% to 75%), waste management (56% to 85%), animal biosafety levels (40.57% to 45%), and good microbiological practices and procedures (17% to 35%). To bring human and animal laboratories up to the same level in terms of biosafety and biosecurity, it is critical to focus on areas that have been overlooked in the past. Training programs focusing on animal biosafety should be conducted more frequently to strengthen bio risk management systems in animal research facilities.Copyright © 2021

Australian experiences using a COVID-19 chest radiography reporting template: An implementation study

Introduction: Chest X-rays are an important tool in COVID-19 disease management and progression.1 Several radiology societies have developed structured reporting templates to reduce interpretation variability and measure concordance.2 This study aimed to measure concordance of three international chest X-ray reporting templates in a Sydney hospital. Method(s): 12 radiologists viewed a test set of 50 COVID-19-positive patients' chest X-rays (30 classic appearance, 20 indeterminate) and 20 normal or 'other' diagnoses chest X-rays. Radiologists classified the cases according to the Royal Australian and New Zealand College of Radiology (RANZCR), British Society of Thoracic Imaging (BSTI) and modified Co-RADS (Dutch)3 templates. Intra-reader and inter-reader reliability were calculated plus measures of experiences of using templates. Result(s): Inter-reader agreement between radiologists was highest for the BSTI template (0.46), followed by RANZCR (0.36) and modified Co-RADS (0.31). The intra-reader agreement across the three templates for 'classic/characteristic' COVID-19 cases was 0.61, for 'normal' cases 0.76 and 'alternative' 0.68 with large variations that were not related to experience. Radiologists agreed the templates were easy to use and would consider using them in the future, although some cases had very low concordance (intra- and inter-reader). Conclusion(s): The BSTI template yielded highest agreement for reporting all chest X-ray types. There was a large range of intra-reader agreement for all four types of patient presentations. Further investigation of radiology lexicon is required to seek reasons for variation as well as understanding the perception of utility by referring physicians. Extension of this work should include radiographers using the templates.

Validation of CES-D8 among Czech university students during COVID-19 pandemic

Objectives: Due to the rise of depressive symptomatology especially among vulnerable populations such as young adults during the COVID-19 outbreak, a reliable measuring tool is needed. Because of the lack of such studies, the authors decided to validate the 8-item Center for Epidemiologic Studies Depression Scale (CES-D 8) among Czech university students capturing the beginning of lockdown experience. Statistical analyses: Confirmatory factor analysis was conducted and structural equation modelling with diagonally weighted least squares estimation using lavaan was employed. Different hypotheses about the dimensionality of the CES-D 8 scale were tested. The authors assessed the measurement equivalence of the CES-D 8 scale according to gender using multigroup confirmatory factor analysis. The effect of socio-demographic and COVID-19 issues variables on depression was examined. Results: One dimensional model with correlated errors showed sufficient validity and therefore, the best fit. Multigroup confirmatory factor analysis results revealed that the factor structure is invariant across gender. Women and those who reported financial distress and academic stress showed a higher level of depressive symptomatology. On the other hand, relationships proved to have a protective effect. Limitations: The sample came from an online survey, respondents were self-selected. There was a gender imbalance in the sample that cannot be explained by a higher number of women in the Czech university environment. Conclusions: The CES-D 8 proved to be a useful instrument for measuring depressed mood that opens further possibilities for depression research in the university environment and during pandemic situations. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Czech) Cile: Vzhledem k narustu depresivni sympto-matologie behem pandemie covid-19 zejmena u zranitelnych skupin, jako jsou mladi dospeli, narostla potrebnost spolehliveho nastroje na mereni depresivity. Z duvodu chybejici validizace se autori rozhodli overit osmipolozkovou skalu Center for Epidemiologic Studies Depression Scale (CES-D 8) u ceskych vysokoskolskych studentu v dobe sameho pocatku pandemie. Statisticke analyzy: Byla provedena konfirmacni faktorova analyza za pouziti strukturniho modelovani metodou DWLS (diagonally weighted least squares) pomoci baliku laavan. Byly testovany ruzne hypotezy o dimenzionalite skaly CES-D 8. Pomoci MCFA (multigroup confirmatory factor analysis) autori posuzovali ekvivalenci mereni skaly CES-D 8 podle pohlavi. Byl zkouman vliv sociodemografickych promennych a promennych tykajicich se problematiky covid-19 na depresivni symptoma-tologii. Vysledky: Jednodimenzionalni model s korelo-vanymi rezidualnimi rozptyly u dvou polozek prokazal dostatecnou validitu a nejlepe odpovidal datum. Vysledky MCFA ukazaly, ze faktorova struktura zvoleneho modelu byla invariantni vzhledem k pohlavi. Zeny a osoby, ktere byly ve financni nouzi nebo prozivaly zvyseny stres ze studia, vykazovaly vyssi uroven depresivni symptomatologie. Naopak partnersky vztah se ukazal mit protektivni efekt. Limity prace: Vzorek pochazi z online pruzku-mu, respondenti byli vybrani samovyberem. Nadreprezentaci zen-studentek v datech nelze zduvodnit vyssim podilem zen na ceskych univerzitach. Zaver: CES-D 8 se ukazal byt uzitecnym nastro-jem pro mereni depresivity, jenz otevira dalsi moznosti pro vyzkum deprese v univerzitnim prostredi a behem pandemickych situaci. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Factor Analysis and Reliability of the Pro-Lockdown Compliance Scale

A multilevel lockdown was introduced during the COVID-19 pandemic worldwide. This new experience, however, received mixed responses from the public in different countries including India. A quantitative self-report, the Pro-Lockdown Compliance Scale (Pro-LCS), was developed to help 1) the Government and enforcing agents understand the compliance level of the public and 2) researchers investigate the antecedent factors of the compliance of the lockdown measures. The initial 10 items were administered to 309 male residents in Kerala via an online survey. The responses were randomly divided and submitted to exploratory and confirmatory factor analyses. Both analyses consistently support that the scale is best represented by a 5-item unidimensional model. Moreover, the Pro-LBS also demonstrated adequate internal consistency. The preliminary findings suggest that the scale is a brief and useful tool to examine the compliance level of the lockdown measures.

Comparison of Methods of Assessment and Results of Traditional Osce with Electronic-Osce

Introduction: The onset and rise of COVID-19 and its sudden progression to a worldwide pandemic lead medical and dental institutes to change their way of teaching and conducting assessments to distance learning as compared to the previously applied conventional approaches. Teaching and assessment during this era have changed vastly, earlier it was solely traditional/live Objective Structured Clinical Examination (OSCE) but due to the current circumstances electronic/online OSCE (E-OSCE) method was introduced. In Pakistan also, Pakistan Medical Council (PMC) and the College of Physicians and Surgeons of Pakistan (CPSP) conducted online exams so that the scheduled exams do not get delayed. Aim(s): The main objective of this paper is to measure the reliability of an E-OSCE and to compare it with the traditional OSCE. Methodology: This was a cross-sectional study which got conducted at the Rawal Institute of Health Sciences, Islamabad. Traditional OSCEs and E-OSCEs were conducted with 71 participants including final year students and house officers. Each OSCEs had 10 stations, including one interactive station in traditional OSCE. Students' scores in both the OSCEs were collected and paired t-test was used to compare the mean scores at p<0.05. Result(s): Total number of house officers were 27 and final year students were 44. The scores of 71 participants were collected. The difference between mean scores of house officers' traditional OSCE and E-OSCE was statistically significant (p=0.000). The difference between final year students traditional OSCE and E-OSCE was also statistically significant (p=0.020). Finally, the overall difference between traditional OSCE and E-OSCE was also statistically significant (p=0.000) Practical implication: The main objective of this study was to assess the reliability of an E-OSCE and to compare whether the electronic method of conducting OSCE is more reliable than the traditional method of conducting OSCE. Conclusion(s): Despite limitations and the biases, the results of E-OSCE proved to be better than traditional OSCE. Further research needs to be conducted on E-OSCE to control the factors causing biases and limitations.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.

Validating Social Service Robot Interaction Trust (SSRIT) Scale in Measuring Consumers' Trust Toward Interaction With Artificially Intelligent (AI) Social Robots With a Chinese Sample of Adults

Research on consumers' trust toward interaction with Artificially Intelligent (AI) social robots in service delivery has gained much more interest due to the outbreak of COVID-19 pandemic. However, this topic has not been widely invesgiated in China. To provide a psychometrically sound instrument in diverse cultural contexts, this study was to validate a scale of Social Service Robot Interaction Trust (SSRIT) that measures consumers' trust toward interaction with AI social robots in service delivery in a Chinese sample of adults. The results showed that the Chinese version of the SSRIT was validated with reliability and validity, suggesting that the Chinese version of the SSRIT could be used as an effective tool to assess trust in AI social robots in service delivery within the Chinese context. The implications of the findings were also discussed. [ FROM AUTHOR] Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

OPEES: Online Proctored Entrance Examination System with Degree Program Recommender for Colleges and Universities

The college entrance examination is vital for program admission. Typically, entrance examinations are conducted onsite using paper and pens. When the COVID-19 pandemic hit, the entrance examination was lifted and physical gatherings were prohibited. Since many schools cannot offer an online admissions exam, they rely on grades and interviews to admit and qualify students for degree programs. However, academic standards differ between schools, and grades may not be enough to assess students' capacity. Thus, this study aims to develop an Online Proctored Entrance Examination System (OPEES) with Degree Program Recommender for colleges and universities to help institutions administer onsite or online entrance tests and generate course suggestions using a rulebased algorithm. The study employed the scrum methodology in software development. OPEES allows applicants to submit applications online, and institutions can manage user accounts, tailor exams and degree programs' criteria, manage exam dates, and assign proctors. Online proctoring using Jitsi, an opensource multiplatform voice, video, and instant messaging tool with end-to-end encryption, ensures exam integrity. The system's features were evaluated by 102 respondents, comprised of end-users (students and school personnel) and IT professionals, using the FURPS (Functionality, Usability, Reliability, Performance, and Supportability) software quality model. In the software evaluation, the overall system proved to be functional as perceived by the respondents, as manifested by the mean rating of 4.61. In conclusion, the system's architecture was deemed feasible and offers a better way to streamline admission examinations and determine a student's applicable degree program by enabling institutions to customize their exams and degree program requirements. It will be beneficial to look into recommendation system algorithms and historical enrollment data to improve the system's use case. © 2022 IEEE.

Patient Experience of Using Telehealth Services during COVID-19 in Dubai Health Authority: A Retrospective Cross-Sectional Electronic Survey

Objectives: To examine patients' telehealth usability during COVID-19 in Dubai. Method(s): A cross-sectional retrospective study adopted Telehealth Usability Questionnaire (TUQ). A total of 64,173 participants who used telehealth services during 2020 - 2021 were recruited from the electronic medical record to participate in electronic survey from October to December 2022. The survey was administered through DHA text messaging system. The survey examined participants' characteristics and the six domains of TUQ with a Likert scale. Frequency, percentage, and weighted mean score percentages were used as descriptive statistics to analyze this data. Result(s): A total of 1,535 participants completed the survey. The overall TUQ showed the mean age of users was 43.37 years (+/-11.67 SD). More than half of the users were females (65.21%), the majority were married (74.46%), of a UAE nationality (83.58%), had higher education (56.68%), and were currently working (57.13%). Consultations and COVID-19-related concerns (45.14%), medication refills (19.80%), and laboratory tests (18.24%) were the main reasons for telehealth visits. Weighted means of TUQ six domains were usefulness (87.11%), ease of use and learnability (86.98%), interface quality (85.73%), interaction quality (86.44%), reliability (79.48%), and satisfaction and future use (86.44%). Conclusion(s): Our study revealed high levels of usability and willingness to use telehealth services as an alternative modality to in-person consultations among the participants of the survey. Our results support the implementation of telehealth services in DHA;however, further studies are required to understand the applicability of telehealth after COVID-19 and how to further improve satisfaction.Copyright © 2023

The COVID Psychosocial Impacts Scale: A Reliable and Valid Tool to Examine the Psychosocial Impacts of the COVID-19 Pandemic.

This paper reports on the development and validation of the COVID Psychosocial Impacts Scale (CPIS), a self-report measure that comprehensively examines both positive and negative psychosocial impacts from the COVID-19 pandemic. This is the first part of the program of work in which the CPIS was administered and compared with a measure of psychological distress (Kessler Psychological Distress Scale, K-10) and wellbeing (World Health Organization Well-Being Index, WHO-5). The data were obtained online in 2020 and 2022 at two distinct time points to capture different exposures to the pandemic in the New Zealand population to a non-representative sample of 663 and 687 adults, respectively. Two hundred seventy-one participants took part in both surveys. Findings indicate a unidimensional structure within CPIS subscales and inter-relatedness among CPIS stress-related subscales. The scatter plots and correlation matrix indicate CPIS having a positive moderate correlation with K10 and a negative moderate correlation with WHO-5, indicative of construct validity. The paper outlines contextual factors surrounding CPIS development and makes suggestions for future iterations of CPIS. Further work will examine its psychometric properties across cultures.

Fear and Stigma of COVID-19 Reinfection Scale (FSoCOVID-19RS): New Scale Development and Validation.

BACKGROUND: The advent of COVID-19 and its impacts have prompted fear and stigma among people all across the world. Because of stigma, there was often a delay in diagnosis and treatment, which resulted in a poor prognosis. As a result, a reliable scale is required to measure the level of fear and stigma of COVID-19 reinfection. AIM: To develop and validate a scale for determining the level of fear and stigma of COVID-19 reinfection. METHODS: A cross-sectional study including 200 nursing-college students who had previously tested positive for COVID-19 was conducted. The scale's reliability was evaluated by external and internal consistency methods. Construct, convergent, and discriminant validity were evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). RESULTS: The scale's mean score was 24.85 ± 11.35, and no floor or ceiling effects were detected. The scale items' reliability, measured by Cronbach's alpha coefficient if an item was deleted, ranged from 0.76 to 0.95, with a total score value of 0.86. The range of convergent validity coefficients was between 0.37 and 0.64. Pearson's correlation coefficients for test-retest validity ranged from 0.71 to 0.93, with a total score of 0.82. The coefficient of split-half correlation was 0.87, while the coefficient of reliability was 0.93. According to the factor analysis, two components had latent roots larger than 1. The rotated component matrix of the two factors revealed that all items had R values over 0.30, indicating that none of them should be excluded. In addition, CFA results revealed that χ2 = 3524, df = 1283, χ2/df ratio = 2.74, p < 0.001, GFI = 0.86, CFI = 0.92, AGFI = 0.88, and RMSEA = 0.05. The scale's convergent and discriminant validity was confirmed. CONCLUSIONS: The 14-item, two-dimensional Fear and Stigma of COVID-19 Reinfection Scale (FSoCOVID-19 RS) was demonstrated to have reliable psychometric properties.

Comparing the Effects of Traditional Media and Social Media Use on General Trust in China During the COVID-19 Pandemic

Although previous studies have indicated a generally positive association between social media use and general trust, the differential impacts of traditional media and social media on general trust and their underlying mechanisms have yet to be fully elaborated. Drawing on the three-dimensional definition of social capital (i.e., personal networks, social norms, and interpersonal trust) as its theoretical framework, this study comparatively examines the impacts of traditional media and social media on general trust, focusing on the mediating role of social capital. Analyses of survey data from China (N = 1,519) during the first stage of COVID-19 demonstrate that social media has a positive relationship with general trust. In addition, social media has two opposing indirect effects on general trust through increased interpersonal trust and personal networks. In contrast, traditional media use has no positive relationship with general trust, either directly or indirectly, although it has a positive relationship with social norms. The differential consequences of using traditional media and social media on general trust are discussed from the perspective of social capital.

Psychometric properties and measurement invariance of a European Portuguese version of the fear of COVID-19 scale

The novelty and uncertainty of the pandemic nourished a gener-alized fear of the COVID-19, which seems to have exacerbated the pan-demic's negative impact. It is thus relevant to monitor fear of COVID-19 and its association with individuals' mental health, well-being, and behav-iors. Valid and reliable measures of fear of COVID-19 are necessary for that purpose. This study aimed at assessing the psychometric properties of a European Portuguese version of the Fear of COVID-19 scale (FCV-19S-P). A secondary aim was to assess FCV-19S-P's multigroup measurement invariance (female vs. male). A sample of 572 Portuguese adults (72 % fe-male) completed the FCV-19S-P and measures of depression, anxiety, and stress. The study results supported this version validity and reliability (Cronbach's alpha = .84;Composite Reliability = .83), and a factorial struc-ture similar to the original version. Fear of COVID-19 was positively asso-ciated (.23 < r < .31) with depression, anxiety, and stress. Results of the multigroup invariance analysis supported the FCV-19S-P total scalar invar-iance and its partial residual invariance, suggesting that this measure may be used to reach valid conclusions in respect to gender comparisons in samples of Portuguese adults in regard to group observed composite means. © 2023, Universidad de Murcia Servicio de Publicaciones. All rights reserved.

A new copula-based bivariate Gompertz–Makeham model and its application to COVID-19 mortality data

One of the useful distributions in modeling mortality (or failure) data is the univariate Gompertz–Makeham distribution. To examine the relationship between the two variables, the extended bivariate Gompertz–Makeham distribution is introduced, and its properties are provided. Also, some reliability indices, including aging intensity and stress-strength reliability, are calculated for the proposed model. Here, a new copula function is constructed based on the extended bivariate Gompertz–Makeham distribution. Some of its features including dependency properties, such as dependence structure, some measures of dependence, and tail dependence, are studied. The estimation of the parameters of new copula is presented, and at the end, a simulation study and a performance analysis based on the real data are presented. So, by analyzing the mortality data due to COVID-19, the appropriateness of the proposed model is examined. [ FROM AUTHOR] Copyright of Iranian Journal of Fuzzy Systems is the property of University of Sistan & Baluchestan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

A Survey of Covid-19 Infections in Rheumatology Patients in Shropshire, Uk

Background/Aims To assess the incidence and vulnerability of rheumatology patients to COVID-19 infection in early stages of pandemic. Methods Self completed questionnaire was posted to patients. Results Patients diagnosed with rheumatic diseases were categorised as people at high risk of infection with COVID-19 (pharmacologically immunosuppressed) and with possible worsening outcomes than the general population. This study was a self-completed questionnaire which was sent to all patients registered under a National Health Services specialist rheumatology department in the UK, between May 2020 and May 2021. A total of 610 responses were received and data was analysed statistically. The aim from this survey was to assess COVID19 infection prevalence amongst rheumatology patients under the care of this department, and to examine the profiles of patients with reported COVID-19 infection, their comorbidities, rheumatoidrelated medications and infection severity and outcome. Of 610 responders diagnosed with rheumatoid diseases, 12 patients (1.96%) received a diagnosis of COVID-19 based on their clinical presentation. However, when patients undertaken a Polymerase Chain Reaction test, only 2 patients (16.6%) returned positive results. In both the COVID-19 and non-COVID groups 60% were shielding (n=361). In our sample infection rate was around 30 times (1 in 50 rheumatoid patients, 2% in the sample population) the prevailing rate for the general population in the region (75 in 100,000, 0.075% in the general population). Negative testing did not preclude the presence of disease, but this may reflect poor efficacy and reliability of testing in the early days of the pandemic. The sample means and SD+/- were 63.96/ 13.23 for age and 27.76/5.79 for BMI. Sample population characteristics presented in Table 1. Conclusion This patient group were more vulnerable to COVID-19 infection compared to the general population but appear not to be at greater risk of severe disease.

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage of vaccine. The rapid production of vaccines for the prevention of coronavirus disease 2019 (COVID-19) is a worldwide requirement. Now the next challenge is to store the vaccine in a ULT freezer. It's become really a big problem to store the vaccine which creates the demand of ULT freezer. The present paper investigates a situational based performance of the ULT freezer with the aim to predict the impact of different component failures as well as human errors on the final performance of the same. For the study, it is not possible to extract the parameters (failure rate and repair time) of the components that never failed before. Thus, to overcome this difficulty, here authors use the possibility theory. Authors present the available data in Right triangular fuzzy number with some tolerance as suggested by system analyst. The lambda-tau methodology and arithmetic operations on right triangular generalized fuzzy numbers (RTrFN) are used to find the various performance parameters namely MTTF, MTTR, MTBF, reliability, availability, maintainability (RAM) and ENOF, under fuzzy environment. The proposed model has been studied using possibility theory under working conditions, preventive maintenance as well as under the rest of conditions. This study reveals the most and least critical component of the ULT freezer which helps maintenance department to plan the maintenance strategy accordingly.

Consumer purchase intention on Boba drinks in Kuching during Covid-19

Many businesses were badly impacted as consumer spending habit shifted due to Covid-19 outbreak. The purpose of this study is to investigate consumer purchase intention on Boba drink during Covid-19. By adopting Theory of Planned Behavior, this study explores the influence of perceived behavioral control, subjective norm, and attitude. Importantly, perceived risks is added to the conceptual model to study consumer purchase intention amid Covid-19. Boba drink is a popular beverage in every city in Malaysia, including Kuching, where one could easily spot a Boba drink outlet at almost every corner of the city. A total of 394 complete observations have been obtained from the respondents through a self-administered online survey. The outcome of the analysis uncovered that perceived behavioral control and subjective norm have significant direct relation, while attitude and perceived risks have significant adverse relation with consumer purchase intention during Covid-19. This research offers insights to Boba drink sellers to devise appropriate strategies to market their beverages by targeting consumers' ability to buy the beverage, health-conscious belief, food safety, and attractive promotion to encourage consumers to buy their products during the pandemic.