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This paper gives a bibliographical review of the finite element methods (FEMs) applied to the analysis of ceramics and glass materials. The bibliography at the end of the paper contains references to papers, conference proceedings and theses/dissertations on the subject that were published between 1977‐1998. The following topics are included: ceramics – material and mechanical properties in general, ceramic coatings and joining problems, ceramic composites, ferrites, piezoceramics, ceramic tools and machining, material processing simulations, fracture mechanics and damage, applications of ceramic/composites in engineering; glass – material and mechanical properties in general, glass fiber composites, material processing simulations, fracture mechanics and damage, and applications of glasses in engineering.

Gives a bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view. The range of applications of FEMs in this area is wide and cannot be presented in a single paper; therefore aims to give the reader an encyclopaedic view on the subject. The bibliography at the end of the paper contains 2,025 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1992‐1995.

Due to the constituent nitrogen atom of the amino group, amines have been extensively used as inhibitors of metallic corrosion. This article reviews the reported uses of aniline and related aromatic amines as corrosion inhibitors.

Diethylene triamine, triethylene tetramine and tetraethylene pentamine have been studied as cathodic corrosion inhibitors for aluminium‐57S in hydrochloric acid. Compared to diethylene triamine and triethylene tetramine, tetraethylene pentamine is less satisfactory. Diethylene triamine and triethylene tetramine protect aluminium 57S in 1·ON HCl in the temperature range 35°C–55°C. The effect of external cathodic and anodic currents is studied.

2: Aminobenzoic acids as inhibitors in nitric acid Ortho, meta and para aminobenzoic acids have been studied as corrosion inhibitors for 60/40 brass in nitric acid. Ortho and para aminobenzoic acids are cathodic in action whereas meta aminobenzoic acid acts by influencing both the cathodic and anodic reactions.

Several national- and state-level studies have been predicting the course of the COVID-19 pandemic using supervised machine learning algorithms. However, the comparison of such models has not been discussed before. This is the first-ever research wherein the two leading models, susceptible-infected-recovered (SIR) and logistic are compared. The purpose of this study is to observe their utility, at both the National and Municipal Corporation level in India.

The modified SIR and the logistic were deployed for analysis of the COVID-19 patients’ database of India and three Municipal Corporations, namely, Akola, Kalyan-Dombivli and Mira-Bhayander. The data for the study was collected from the official notifications for COVID-19 released by respective government websites.

This study provides evidence to show the superiority of the modified SIR over the logistic model. The models give accurate predictions for a period up to 14 days. The prediction accuracy of the models is limited due to change in government policies. This can be observed by the drastic increase in the COVID-19 cases after Unlock 1.0 in India. The models have proven that they can effectively predict for both National and Municipal Corporation level database.

The modified SIR model can be used to signify the practicality and effectiveness of the decisions taken by the authorities to contain the spread of coronavirus.

This study modifies the SIR model and also identifies and fulfills the need to find a more accurate prediction algorithm to help curb the pandemic.

Based on the key dimensions of the Metaverse environment (immersiveness, fidelity and sociability), this paper aims to develop the concept of sensory word-of-mouth (WOM) in Metaverse – the metaWOM. It attempts to upgrade the Reviewchain model and suggests the utilization of non-transferable tokens (NTTs) in curbing the explosion of fake WOM.

Following Macinnis’ (2011) approach to conceptual contributions, the authors browsed the currently available literature on WOM, Metaverse and NTT to portray the emergence of metaWOM.

By relying on Metaverse’s three building blocks, the authors map out the persuasiveness of metaWOM in the Metaverse-like environment. By incorporating NTT in the Reviewchain model, the authors upgraded it to provide a transparent, safe and trusted review ecosystem. An array of emerging research directions and research questions is presented.

This paper comprehensively analyzes the implications of a Metaverse-like environment on WOM and debates on technologies that can enhance the metaWOM persuasiveness. The proposed model in this paper can assist various stakeholders in understanding the complex nature of virtual information-seeking and giving.

This is the original attempt to delineate the sensory aspect of WOM in the Metaverse based on three crucial aspects of the Metaverse environment: immersiveness, fidelity and sociability. This paper extends the discussion on the issue of fake reviews and offers viable suggestions to curb the ever-growing number of fraudulent WOM.

Terrorism is as old as humanity itself, but its new form in the twenty-first century is adversely affecting the performance of businesses in both developing and developed countries. The purpose of this study is to identify and analyse the evolution and diffusion of academic knowledge on the topic of terrorism in business-related literature.

Data was gathered from two databases, namely, the Scopus and Web of Science over 30 years (1990–2019). The search terms related to terrorism in titles, abstracts and authors’ keywords, which resulted in a total of 1,097 articles. Bibliometric methods, including a thematic and content analysis identifying main themes and using Gephi and VOSviewer software, were used to analyse the data.

The results reveal the productivity of the main actors, current thematic choices and future research opportunities. The main thematic areas of the research arising from the bibliometric analysis included the impact of terrorism on economic growth, Foreign Direct Investment, tourism, stock market reforms, security of multinational corporations as a result of terrorism and finally, the impact of political instability and terrorism on business. This study’s findings may guide the research of future academics and assist policy stakeholders in their strategic choices related to future business development.

The study has certain limitations that are inherent to the bibliometric methods or to the choices related to data collection and processing.

This study recognised evolution and trends regarding the influence of terrorism on businesses, which is crucial information for the development of business and policy strategies in the future. These strategies should enhance the ability of businesses to cope with the negative effects of terrorism and make these effects less devastating. For academics, this study provides relevant insights on recent research trends in the field of terrorism in business and emerging future academic thematic opportunities.

The findings of the study indicate that issues of terrorism in business have broader social implications, which both academia and policy stakeholders can attend with their work.

This bibliometric review offers new insights into terrorism from the business lens by identifying the common streams of research in the field, along with the key journals, articles, countries, institutions, authors, data sources and networks in this field. The future research directions in this field of knowledge are also articulated in the study.

Lacan et. al. studied oleic acid, naphthenic acid, stannous chloride, potassium dihydrogen phosphate and cobalt linolate for the prevention of corrosion of brass in sodium hydroxide solutions.

This study aims to investigate the relationship between person-role conflict, psychological capital and emotional exhaustion. Specifically, the research explores how person-role conflict magnified due to daily contact with COVID-19 carriers leads doctors and nurses to experience emotional exhaustion. Moreover, psychological capital function as an explanatory mechanism between stressor strain relationships has also been tested.

The study results are based on three months of lagged data conducted from the sample of 347 frontline physicians and nurses who provide treatment and care to infected people. To test direct, indirect and total effect, the author's used PROCESS Macro.

The results suggested that person-role conflict reduces state-like psychological capital and increases emotional exhaustion through reduced psychological capital. Results aligned with the model's expectations in that psychological capital mediated the relationship between person-role conflict and emotional exhaustion, and the mediation was partial.

This paper is the first one that tested the link between person-role conflict and emotional exhaustion. Moreover, up till now, no study has examined the mediating role of psychological capital in the relationship between person-role conflict and emotional exhaustion. Finally, in the context of the contagion outbreak, this is the preliminary effort that validated the resource loss cycle principle of conservation of resource theory.