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PurposeThis study aims to propose a systematic knowledge management model to explore the causal links leading to the organizational crisis preparedness (OCP) level of integrated resorts (IRs) during the COVID-19 pandemic based on the intangible capital of organizational climate, dynamic capability, substantive capability and commitment.Design/methodology/approachThe authors use data obtained from IRs in Macau. The Wuli–Shili–Renli (WSR) approach underpins the study. Structural equation modeling following fuzzy-set qualitative comparative analysis (fsQCA) was used for data processing.FindingsThe results showed that organizational climate has an essential role in IRs preparedness for crises and affects their dynamic capacity, substantive capacity and commitment. The fsQCA results revealed that the relationships between conditions with a higher level of dynamic and substantive capability lead to higher OCP scores.Practical implicationsExecutives should develop systemic thinking regarding organization preparedness in IRs for crisis management. A comprehensive understanding of the IRs' business environment and crises is necessary, as they will require different factor constellations to allow the organization to perform well in a crisis. Financial support for employees could ensure their assistance when dealing with such situations. Rapid response teams should be set up for daily operations and marketing implementation of each level of the IRs management systems.Originality/valueThis study contributes to the extant literature on IRs crisis management in the OCP aspect. The authors constructed a systematic composite picture of organization executives' knowledge management through the three layers of intangible capitals in WSR. Moreover, the authors explored causal links of WSR from symmetric and asymmetric perspectives.
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Background: Pulmonary tuberculosis is still a public health problem, and surveillance data analysis has not been done much. Recently a global pandemic of COVID-19 has the potential in disturbing TB elimination programs and treatment. This study aims to comprehensively analyse the incidence rate (IR) and Case Fatality Rate (CFR) of pulmonary tuberculosis in East Java from 2015–2020 and during COVID-19 and the strategies for optimizing tuberculosis disease control. Methodology: The study analyzed annual surveillance data using an analytical descriptive design. The Variables were analyzed with Spearman correlation with a level of evidence of 95% (p<0.05). Results: The prevalence of pulmonary tuberculosis in East Java fluctuated from 2015–2020. In 2020 and during the COVID-19 pandemic, the number of cases and morbidity rates increased. Statistic results confirm the presence of a significant correlation between the values of Incidence rate (IR) and Case Fatality rate (CFR) (p = 0.032), IR and Treatment Success Rate (TSR) (p = 0.020), and CFR and TSR (p = 0.002). Population density is not correlated with the number of new cases (p = 0.667). Treatment rates have increased to 51%;cure and treatment rates have decreased to 76% and 89%, respectively, and there was a 4% increase in mortality during COVID-19. Conclusions: COVID-19 has tremendously affected the treatment of pulmonary TB cases in East Java, Indonesia by increasing the incidence rate and decreasing the fatality rate. The pandemic promotes fear in the community to check their medical status and improve the quality of their health in East Java. © The Authors retain the copyrights of this article, with first publication rights granted to Medsci Publications.
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Public restrooms can be a breeding ground for germs and viruses, especially in light of the current COVID-19 pandemic. Touching surfaces like door handles can have a lot of harmful bacteria and microorganisms that increase the risk of transmission of infectious diseases. Additionally, ensuring the cleanliness of public restrooms can be a challenge as its being used by a lot of people on a day-to-day basis. To overcome this, we propose a model that provides a touchless door-locking mechanism with self-sanitization capabilities, thereby reducing the risk of transmission and ensuring a safer and cleaner environment for users. As the Internet of Things is an evolving technology and is providing modern solutions for various problems, the proposed system uses touchless doors that are incorporated with Node Microcontroller Unit and automatic Ultraviolet C sanitization. UVC light radiation is used for disinfecting purposes. The overall invention combines various features to provide a hygienic, secure, and safe restroom experience, ensuring that the restroom is always clean, secure, and accessible to those who need it. © 2023 IEEE.
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Developing an automatic door-opening system that can recognize masks and gauge body temperature is the aim of this project. The new Corona Virus (COVID-19) is an unimaginable pandemic that presents the medical industry with a serious worldwide issue in the twenty-first century. How individuals conduct their lives has substantially changed as a result. Individuals are reluctant to seek out even the most basic healthcare services because of the rising number of sick people who pass away, instilling an unshakable terror in their thoughts.This paper is about the Automatic Health Machine (AHM). In this dire situation, the government provided the people with a lot of directions and information. Apart from the government, everyone is accountable for his or her own health. The most common symptom of corona infection is an uncontrollable rise in body temperature. In this project, we create a novel device to monitor people's body temperatures using components such as an IR sensor and temperature sensor. © 2023 IEEE.
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COVID-19 has negatively affected business operations and drastically threatened different ongoing organizational changes. Digital transformation has been considered a unique way of improving performance and business operations in the new digital world. However, the immediate shutdown caused by the pandemic and the lack of preparation for implementing digital transformation influenced most industries. This chapter outlines the negative implications of COVID-19 on transferring to digital solutions as well as revealed prospects. In this regard, the outcomes of implementing digital transformation in several sectors are reviewed. Assessing these impacts addresses the benefits and drawbacks associated with digitalized solutions. We highlight the beginning of the year 2020, the announcement of the global pandemic, as an important timeline for evaluating the contributions of published papers. Furthermore, we emphasize that papers published following the epidemic in addition to considering the impacts should be included in future research studies in this field. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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COVID-19, is caused by the transmission of SARS-CoV-2 through direct or indirect contact with infected people though respiratory droplets has transitioned from a pandemic to an endemic but is still regarded as active by WHO. Restrictions and lockdowns were lifted as the situation became endemic, but the previous measures had to be kept in place. By developing a module that includes temperature monitoring, face mask detection, a non-contact sanitizer dispenser, and door automation that operates based on the number of individuals inside a closed area in order to maintain social distance, our project aims to incorporate these precautions into our everyday language. As a part of making the new normal easily adaptable, we also introduce a webpagebased reservation system, which wm essentially display the current count and also help in reducing the waiting periods. © 2023 IEEE.
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Este texto discute o cenário do trabalho de assistentes sociais (AS) da Previdência Social (PS) no Brasil, a partir da pandemia do novo coronavírus, COVID-19. Busca evidenciar como AS responderam à pandemia, em termos do seu trabalho e quais as principais mudanças ocorridas na PS nesse período. Utiliza-se de uma entrevista semiestruturada na forma de grupo focal com AS da PS. A ênfase fundamental recai sobre os processos de informatização dos benefícios previdenciários e teletrabalho correspondendo ao aprofundamento do neoliberalismo e maior fragilização do trabalho.Alternate :This text discusses the work scenario of social workers (SW) of Brazilian Social Security (BSS) from the pandemic of the new coronavirus, COVID-19. It seeks to highlight how SW responded to the pandemic, in terms of their work and what the main changes occurred in BSS during this period. It uses a semi-structured interview in the form of a focus group with SW of BSS. The fundamental emphasis is on the computerization processes of social security benefits and telework, corresponding to the deepening of neoliberalism and greater weakening of work.
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This article uses data from several publicly available databases to show that the distribution of intellectual property for frontier technologies, including those useful for sustainable development, is very highly skewed in favor of a handful of developed countries. The intellectual property rights (IPR) regime as it exists does not optimize the global flow of technology and know-how for the attainment of the sustainable development goals and is in need of updating. Some features of the Fourth Industrial Revolution imply that the current system of patents is even more in need of reform than before. COVID-19 vaccines and therapies and the vast inequality in access to these has highlighted the costs of inaction. We recommend several policy changes for the international IPR regime. Broadly, these fall into three categories: allowing greater flexibility for developing countries, reassessing the appropriateness of patents for technologies that may be considered public goods, and closing loopholes that allow for unreasonable intellectual property protections.
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A novel epidemic infection Coronavirus-19 (COVID-19) considered as one of the challenges in sustainable development. A new-onset of hyperglycaemia has been observed between many COVID-19 patients. The clear explanation of this elevation in fasting plasma glucose (FPG) was debuted. Here we investigate whether this increase is due to impaired insulin secretion or insulin resistance. 269 participants, group 1 (control, n = 46) group 2 (COVID-19 patients, n = 223). 27 Patients were excluded due to missing of their FPG results. FPG, liver enzymes (ALT, AST, and Alk. Phosphatase), b.urea, s.creatinine, s. insulin, C-peptide, D-dimer, and s.ferritin were measured. Our results showed that FPG was increased in 82% (161) patients and this increase was positively correlated with ferritin (r20.039, P-value 0.0013). There is no correlation between FPG with liver enzymes (ALT and AST). The level of insulin hormone and c-peptide were normal. Because there were no increase in insulin or c-peptide and the only relationship was between FPG and ferritin. Therefore, we concluded that COVID-19 infection could cause insulin resistance. © 2023 Author(s).
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All coronaviruses are characterized by spike glycoproteins whose S1 subunits contain the receptor binding domain (RBD). The RBD anchors the virus to the host cellular membrane to regulate the virus transmissibility and infectious process. Although the protein/receptor interaction mainly depends on the spike's conformation, particularly on its S1 unit, their secondary structures are poorly known. In this paper, the S1 conformation was investigated for MERS-CoV, SARS-CoV, and SARS-CoV-2 at serological pH by measuring their Amide I infrared absorption bands. The SARS-CoV-2 S1 secondary structure revealed a strong difference compared to those of MERS-CoV and SARS-CoV, with a significant presence of extended ß-sheets. Furthermore, the conformation of the SARS-CoV-2 S1 showed a significant change by moving from serological pH to mild acidic and alkaline pH conditions. Both results suggest the capability of infrared spectroscopy to follow the secondary structure adaptation of the SARS-CoV-2 S1 to different environments.
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COVID-19 , Middle East Respiratory Syndrome Coronavirus , Humans , SARS-CoV-2/metabolism , Spike Glycoprotein, Coronavirus/metabolism , Spectrum AnalysisABSTRACT
With the expansion of novel coronavirus pneumonia's influence on the world, people's dependence on infrared thermometer guns is increasing. In order to improve the measurement accuracy of the infrared temperature measuring gun and meet the requirements of rapid and accurate measurement of human body temperature, the core components for the infrared temperature measuring gun are developed and prepared in this paper. The film fogging phenomenon caused by the anisotropy of metal germanium and semiconductor properties is analysed and solved by measuring the atomic force microscope image and infrared spectrum of the film, the 5.5-micron infrared filter with high transmittance and good film quality was prepared by electron beam evaporation, resistance evaporation and ion source assisted deposition.
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Theoretical and experimental studies are performed on the new organic-inorganic hybrid molecule N-(2,6-dimethylphenyl)-1-piperazineacetamide. The vibrational spectra of the molecule are characterized using FT-IR and FT-Raman in the range 4000-600 cm(-1) and 4000-100 cm(-1), respectively. Density functional theory with B3LYP/3-21G and B3LYP/cc-pVDZ basis sets is used to calculate energy, geometrical structure, and vibrational modes of stretching, bending, and torsion. The VEDA software Autodock Vina revealed a good binding is employed to calculate the detailed vibrational assignments. The theoretical and experimental vibrational data are compared to support the present study. Density functional theory is used to calculate thermodynamic parameters (heat capacity, entropy, and enthalpy) and nonlinear optical properties. The software Gaussian09W and Gaussview 6.0 are used for theoretical calculations. Molecular docking studies are carried out to investigate the effect of the titled molecule against various proteins such as SARS-CoV-2 that affect the immune system in humans. Chemical shifts are identified using carbon and proton NMR. Non-covalent interactions are studied using a reduced density gradient. The chemical reactivity and selectivity for a local reactivity site are analyzed with the help of Fukui functions.
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The digital revolution is the widespread diffusion of information and communication technologies and transformation into an entirely digitised society. The study aimed to investigate the extent of mathematics teachers' readiness for online education in the Fourth Industrial Revolution (4IR) and COVID-19 psychologically, sociologically, environmentally, financially, and concerning human resources and content in the case of two selected universities in Ethiopia. Many educational institutions were obliged to transition to an online method of teaching and learning because of the lockdowns implemented in many countries to combat the epidemic. The study used a quantitative research method to investigate the university's e-readiness of e-learning in the 4IR). The study participants were purposively selected from mathematics departments in the two universities. The study's literature review reveals that both 4IR and COVID-19 bring new teaching opportunities in education sectors known as e-learning. The Chapnick Readiness Model (2000) was used to determine the findings. The study found that while teachers' are ready psychologically, sociologically, environmentally, and financially, and regarding human resources and content were moderate. They lacked knowledge of 4IR in all these categories. Most teachers are far from mastering 4IR knowledge and skills. The study reveals a lack of e-readiness of teachers toward technology due to a lack of teachers' training during their degrees, a lack of training on e-learning, technical support on e-learning, and a course for using e-learning. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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The fourth industrial revolution (4IR) is transforming the skills and competencies needed to lead a successful working life. The climate crisis is threatening ways of life, and the Covid-19 pandemic has tested our social-economic systems. The work and training of public policy professionals is also changing as a result. How graduate and undergraduate learning is designed and delivered should adapt with pedagogies and content relevant to our changing world. This chapter details how public policy is transforming given the 4IR and the educational changes that can be implemented to deliver relevant, impactful public policy learning in Asia. Practitioners working in higher education across Asia can consider case study and simulation learning authentic to real-world scenarios and experiential learning to form professionals ready for the automated world's demands. The chapter provides practical advice for pedagogy and content shifts. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
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In the present work, at first, DFT calculations were carried out to study the molecular structure of the tenofovir at B3LYP/MidiX level of theory and in the water as solvent. The HOMO/LUMO molecular orbitals, excitation energies and oscillator strengths of investigated drug were also calculated and presented. NBO analysis was performed to illustrate the intramolecular rehybridization and electron density delocalization. In the following, a molecular docking study was performed for screening of effective available tenofovir drug which may act as an efficient inhibitor for the SARS-CoV-2 M-pro. The binding energy value showed a good binding affinity between the tenofovir and SARS-CoV-2 Mpro with binding energy of-47.206 kcal/mol. Therefore, tenofovir can be used for possible application against the SARS-CoV-2 M-pro.
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The world of work is changing from the way that we used to know it. This is caused by the fourth industrial revolution (4IR) as well as the COVID-19 pandemic that hit the world in early 2020. COVID-19 has pushed organisations into the 4IR, both triggering the workplace to change in an instant. In the wake of the 4IR and recovering from the pandemic shock, organisations need to rethink their pay practices. The traditional approach to remunerating employees may not be a viable option anymore. Not only will organisations have more skilled workers in the future due to the technological changes, but the remote working phenomenon triggered by the COVID-19 pandemic, could lead to a move towards more individualised and flexible rewards and the use of a cafeteria type of benefits. This chapter forms a literature study, considering the implications for the development of remuneration strategies to adapt to the new reality brought on by the 4IR and the pandemic and for managing employee remuneration in the new normal. It provides practical implications and suggestions for future research. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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Understanding public responses to emergencies, including outbreaks of diseases, is necessary and significant. A demonstration of how to separate papers about the virus Covid-19 into different topics using topic modeling techniques in several studies is introduced in this research article. Inthe field of machine learning, topic modeling is a major topic. Though primarily, it is used to build models. It provides a quick and easy way to mine data from unstructured textual data, with samples representing documents.The most extensively utilized subject modeling approaches are Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA). On the other hand, model creation can be tedious and repetitious, requiring costly and methodical sensitivity analyses to determine the ideal collection of model parameters. Moreover, comparing models frequently require time-consuming subjective opinions. The topic models assign a probability to each word in the vocabulary corpus related to one or more themes (LSA, LDA). Several LDA and LSA models with varied degrees of coherence were generated, and the model with the greatest degree of coherence was selected. This experiment demonstrates that LDA outperforms LSA. © 2023 Author(s).
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Purpose: To continue to stay relevant in the era of Industry Revolution 4.0 (IR4.0) alongside the unprecedented disruption of COVID-19, the importance of lifelong learning is indisputable though this concept has existed for decades. In this context, open and distance learning (ODL) institutions are urged to re-think and re-design their online learning support systems that inculcate self-regulated lifelong learning (SR3Ls) in their learners to be adaptable and resilient for the post-pandemic economy. The purpose of this paper is to develop a SR3Ls model, namely SR3Ls model by utilising the collective opinions of a panel of experts to determine the key domains and attributes. Design/methodology/approach: A 2-round Delphi consensus study was conducted with 39 experts from five countries. The mean, standard deviation (SD), inter-quartile range (IQR) and the ratio of experts assigned score of 4 or greater were used as the basis of consensus assessment with criteria set at mean = 3.0, SD = 1.5, IQR = 1, ratio on score 4 or greater at = 75%. The questionnaire consisted of 5-point Likert-type scale rating the importance level of each attribute combined with open-ended questions. Findings: This paper presented the findings of the first round of Delphi consensus study. For the first round, the experts were asked to evaluate 31 key attributes of SR3Ls model under five domains. The findings revealed that there were five key attributes to be eliminated from the list, while there were seven attributes identified as the key attributes with highest consensus. There were additional attributes suggested by the Delphi panel to be added in the second round of evaluation. Originality/value: This international consensus-based SR3Ls model serves as an important benchmark for ODL institutions across the regions in developing meaningful and relevant online learning support systems for their learners to adopt SR3Ls attributes in order to meet the dynamic market demands. © 2023, Fei Ping Por and Balakrishnan Muniandy.
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Human Resources jobs are becoming more and more challenging as the work dynamics are changing during the Fourth Industrial Revolution (4IR). The processes of organisations have improved, and machines have become more complicated, but the basic principles of organisational processes remain the same (Wang et al., Appl Psychol 70(1):16–59, 2021). In contrast, Human Resources is about dealing with people who are constantly changing in terms of behaviour, habits, thinking, or according to their circumstances, albeit personal or professional (Hembrom, HR Future:32–33, 2020). This makes organisational processes more difficult because, while managing and understanding people, their state of mind is more important when communicating with them (Bui, The roles of leaders in virtual working environment, 2020). Talking to people in person, Human Resources managers can view body language, facial expressions of the employee, among others, which is helpful during communication. However, with the COVID-19 pandemic where the workforce is mostly working virtually from home the situation is a bit more complicated. The turn of events in the 4IR during the COVID-19 pandemic has not been very encouraging for organisations and business being slow and layoffs across the world have brought new Human Resources challenges (Richter, Int J Inf Manage 55:102–107, 2020;Rosario, HR Future 2020(10):34–35, 2020). It could be contemplated that it is easier to communicate without paying attention to emotions. However, the impact it has on the employees and their families is immense. Human Resources, known for its empathetic attitude, understanding nature, for offering solace and support to the employees, is now no more than a robot, delivering messages without any feelings by Zoom or WhatsApp, based on a decision taken by the organisation. The aim of this chapter is to conceptualise a new dimension of Human Resources, where a change in strategy is required to manage virtual work in the ‘new normal'. Organisations may never return to the old ways of working. There might be a mix of both office and virtual work. For organisations that prefer to return to the ‘old normal' and do not allow for more flexible and virtual working practices, there is a very real risk that top talent will go elsewhere (Hubbard, Finweek, p 10. www.fin24.com/finweek, 2020;Waizenegger et al., Eur J Inf Syst 29(4):429–442, 2020). © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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This research investigated the impact measures (such as lockdowns) used to combat the spread of the coronavirus disease of 2019 (COVID-19) have on the church's mission. When people face travel and assembly restrictions, the church as a community of witnesses testifying and participating in Christ's work risks is being neutralised, and its presence weakened. What then does mission as ‘ being with ' look like in these situations? Is faithful presence something one can turn on and off at will depending on the situation? If faithful presence was no more, what then was the impact of such absence on the church's mission? These questions underscore the relevance of this research which sought to ascertain the impact the COVID-19 pandemic lockdown had on the church's mission. The crucial area this research sought to explore are the lessons from the COVID-19 lockdown that will help the church prepare for future pandemics which scientists say are inevitable. The research made use of a qualitative interview method to discover the meaning of ‘ being with' in the context of the COVID-19 lockdown. The results revealed six attributes of a missional church. Based on these attributes, the research recommends a seven-step process to prepare the church for possible future pandemics. Contribution: This research has provided the church with an opportunity to shift from being ‘inward-looking' to a church that is community focused, a church that prepares, trains and equips its adherents for the work of ministry in their own communities such that the work of ministry continues with or without gatherings.