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This study aims to extend the application of the quality category approach in rapid fatigue assessment of complex welded structures containing defects under arbitrary loadings, following the investigation of their core data and fatigue assessment procedures based on fracture mechanics.

The analysis methods and procedures for calculating equivalent sizes of semi-elliptic cracks and initial sizes of through-width cracks at the weld toe were developed based on the life equivalence principle. Different stress concentration solutions, i.e. 2D-M_k and 3D-M_k solutions, and different bending ratios were considered. Then, approximate equations were proposed to calculate the crack size under combined stress. In addition, a procedure for calculating the fatigue life by interpolation was proposed and applied to engineering examples.

The fatigue lives of fillet and butt weld joints obtained with the 3D-M_k solution for large L/B are longer than those obtained with the 2D-M_k solution. The results of the fatigue life of the brake unit bracket show that the average error between the proposed approximation equations and the quality category approach is 1.6%.

The quality category and equivalent size curves of different stress concentration solutions under combined membrane and bending stresses are newly added, which further expands the application of the quality category approach. When the proposed fatigue life calculation methods are employed, the remaining life can be quickly derived in addition to the qualitative conclusion on the safety of the structure. These provide the necessary conditions to perform a rapid fatigue assessment adapted to engineering purposes.

The outbreak of COVID-19 not only had serious negative impacts on the world economy but also on the global mental health because of the psychological disorders associated with the spread of the pandemic, the increased degree of uncertainty and the unprecedented measures taken by different countries to face the pandemic’s spread. This paper analyses the mental health well-being of individuals in selected MENA countries (Jordan, Morocco, Tunisia and Egypt) during the pandemic.

The study employs a pooled OLS model using the Economic Research Forum (ERF) COVID-19 MENA Monitor Survey panel dataset collected during 2020 and 2021.

The findings show that there is no association between the mental health of individuals in the selected countries and their age, gender, family size, marital status, receipt of social support and participation in care work. Mental health improved at higher levels of education, being employed, being a rural area resident and living in Morocco or Tunisia compared to living in Jordan while it worsened as income declined, food insecurity and anxiety about being infected with Covid-19 increased, being a resident in camps, and during waves 4 and 5. Based on these results, it is recommended that suitable financial, physical and human resources should be directed towards the provision of mental health care services in the region. Also, mental health care services should be accessible to different population groups, with a special focus towards the most vulnerable since they are more prone to mental illnesses, especially during health crises and economic shocks. This should be accompanied by increasing awareness about the provided services and reducing stigma against mental illnesses. Furthermore, introduction of policies targeted towards reducing food insecurity and income instability can play a key role in enhancing mental well-being.

Although few papers have previously investigated the impact of COVID-19 on mental health in MENA countries, most of them have focused on a country-level analysis and adopted a gender perspective. Hence, this paper aims at exploring the association between mental health well-being and socio-economic factors in selected MENA countries during the pandemic.

The purpose of this study is to investigate how cronyism is employed by some married female faculty to secure workplace rights and privileges.

A qualitative research design is employed and interviews were conducted with 32 female academics working at four different universities.

The narrative demonstrates the gendered use of cronyism at work – pre-COVID-19, during which female academics had to work full-time and be present on school campuses, and after COVID-19 pandemic, when academic working conditions changed due to the lockdown of university campuses and the reliance on remote online protocols to fulfil academic duties. The paper shows an increased use of cronyism as a mechanism to reduce heavy workloads. This type of cronyism is known as the expectation of mutual favour cronyism, which means that benefits are exchanged between a female academic and the chair of her department and/or the school rector, but the interests of the university they work in are not taken into consideration.

Virtually, no research exists on the sociocultural determinants of nepotism that undermine the professional performance of female academics at work. The authors draw on social exchange theory and the norm of negative reciprocity to identify the conditions under which social capital is undermined. The results have important implications for theory, practice and future research.

This research aims to find which components of Decent Work are associated with Subjective Well-Being.

With data from 2021 from the states of Mexico, econometric models are carried out.

It is found that disposable income and satisfaction with leisure time have a significant positive relationship with employees' Subjective Well-Being. Likewise, the rate of critical occupancy conditions and informality rate have a significant negative relationship with Subjective Well-Being. The research suggests that influencing the Decent Work conditions of the population in Mexico could favour their Subjective Well-Being.

Share guidelines that enable employers and governments to establish strategies and policies that promote Decent Work to increase the Subjective Well-being of employees.

This article evaluates different variables that make up the Decent Work construct in their level of influence on Subjective Well-being. These relationships and variables considered have not been identified in previous studies as a whole.

Despite several policies in the Arab Gulf States aimed at promoting women’s empowerment through employment, women’s career progress has not met the expected gains. Workplace empowerment is a critical aspect of women’s economic empowerment. Therefore, this paper aims to investigate the factors that contribute to workplace empowerment for women in the Qatari public sector.

This research uses a mixed-methods approach to explore workplace empowerment among female civil servants in the State of Qatar. The study combines surveys (N = 310) and interviews (N = 30) and uses an inductive thematic approach that considers women’s narratives as the primary source of knowledge construction.

The authors’ findings strongly suggest that perception-related factors have a more significant impact on workplace empowerment than structural ones. The results indicate that feelings of disempowerment are influenced by perceptions of gender-based discrimination, poor relationships with supervisors and dissatisfaction with work–life balance. Women feel empowered when they have access to decision-making opportunities and perceive that their workplace supports their professional growth and advancement.

Although this paper focuses solely on women’s perceptions, additional research is necessary to compare the experiences of both men and women regarding workplace empowerment. While individual and organizational factors were examined in this paper, future studies should also consider societal factors. The results highlight the importance of equal and supportive organizational practices and cultures to foster empowerment among women in the workplace, providing valuable insights for policymakers.

This paper addresses a critical research gap on the intersection of gender, work and management in the Middle East. It responds to the need for more diverse contextual research on Arab women’s work experiences and provides methodological diversity by using an exploratory, mixed-methods design with a grounded approach. The study highlights the interaction between structural and psychological factors, emphasizing the gap between policies and resources and women’s lived experiences and perceptions of workplace empowerment.

Scholars mainly propose and establish theoretical models of cumulative fatigue damage for their research fields. This review aims to select the applicable model from many fatigue damage models according to the actual situation. However, relatively few models can be generally accepted and widely used.

This review introduces the development of cumulative damage theory. Then, several typical models are selected from linear and nonlinear cumulative damage models to perform data analyses and obtain the fatigue life for the metal.

Considering the energy law and strength degradation, the nonlinear fatigue cumulative damage model can better reflect the fatigue damage under constant and multi-stage variable amplitude loading. In the following research, the complex uncertainty of the model in the fatigue damage process can be considered, as well as the combination of advanced machine learning techniques to reduce the prediction error.

This review compares the advantages and disadvantages of various mainstream cumulative damage research methods. It provides a reference for further research into the theories of cumulative fatigue damage.

This study aims to present a methodology and a system to support the technical and managerial issues involved in anomaly detection within the reverse logistics process of an e-commerce company.

A case study approach is used to document the company’s experience, with interviews of key stakeholders and integration of obtained evidence with secondary data.

The paper presents an algorithm and a system to support a more efficient and smart management of reverse logistics based on a set of anticipatory actions, and continuous and automatic monitoring of returned goods. Improvements are described in terms of a number of key performance indicators.

The analysis and the developed system need further applications and validations in other organizational contexts. However, the research presents a roadmap and a research agenda for the reverse logistics transformation in Industry 4.0, by also providing new insights to design a multidimensional performance dashboard for reverse logistics.

The paper describes a replicable experience and provides checklists for implementing similar initiatives in the domain of reverse logistics, in the aim to increase the company’s performance along four key complementary dimensions, i.e. time savings, accuracy, completeness of data analysis and interpretation and cost efficiency.

The main novelty of the study stays in carrying out a classification of anomalies by type and product category, with related causes, and in proposing operational recommendations, including process monitoring and control indicators that can be included to design a reverse logistics performance dashboard.

Human actions on natural ecosystems have not only jeopardized human well-being but also threatened the existence of other species. On the other hand, the benefits resulting from a greater integration between the logic of nature and human occupations have been seen as motivating factors for the prevention and mitigation of environmental impacts in landscape planning, since it provides human well-being through the grant of resources, regulation of the environment and socio-cultural services called ecosystem services. This article highlights the relevance of using ecosystem integrity indicators related to the functioning of ecological support processes for landscape planning.

The research used the photosynthetic performance of vegetation through carbon fluxes in the landscape, defining areas where different approaches to green infrastructure can be applied, gaining over the majority of work in this area, in which low degrees of objectivity on measurement and consequent ecological recovery still prevail. Thus, using the conceptual support of restoration ecology and remote sensing, the work identified different vegetation performances in relation to the supporting ecological processes using the multispectral CO₂flux index, linked to the carbon flux to identify the photosynthetic effectiveness of the vegetation and the Topographic Wetness Index (TWI).

With a study in the Distrito Federal (DF), the results of the different performances of vegetation for ecological support, through electromagnetic signatures and associated vegetation formations, allowed for the identification of hotspots of greater integrity that indicate multifunctional areas to be preserved and critical areas that deserve planning actions using green infrastructure techniques for their restoration and integration into the landscape.

This approach could be the initial step towards establishing clear and assertive criteria for selecting areas with greater potential for the development of supporting ecological processes in the territorial mosaic.