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The study is a preliminary attempt to identify cognitive factors (e.g., executive functions and intelligence) promoting resilience in youth in an underprivileged population. Sample consisted of 26 adolescents (seven female, 19 male) between the ages of 13 and 19 years (M=16.62, SD=1.53) from an underserved population who live in circumstances of poverty and family dysfunction and who had experienced multiple traumas.

Resilience was measured with the Child and Youth Resilience Measure (CYRM)-28. Intelligence, working memory, and information processing speed were the cognitive factors of interest. Socioeconomic status was the environmental factor in interest.

The protective factors (i.e. individual skills, relationship with caregivers and contextual factors) promoting resilience were correlated with cognitive factors. Further analyses yielded gender differences in these relations.

Long-held beliefs that intelligence is positively associated with resilience are brought into question by these findings. The relationship between these concepts seems to differ in accordance with socioeconomic status.

The purpose of this study is to review the existing fatigue and vibration-based structural health monitoring techniques and highlight the advantages of combining both approaches.

Fatigue monitoring requires a fatigue model of the material, the stresses at specific points of the structure, a cycle counting technique and a fatigue damage criterion. Firstly, this paper reviews existing structural health monitoring (SHM) techniques, addresses their principal classifications and presents the main characteristics of each technique, with a particular emphasis on modal-based methodologies. Automated modal analysis, damage detection and localisation techniques are also reviewed. Fatigue monitoring is an SHM technique which evaluate the structural fatigue damage in real time. Stress estimation techniques and damage accumulation models based on the S-N field and the Miner rule are also reviewed in this paper.

A vast amount of research has been carried out in the field of SHM. The literature about fatigue calculation, fatigue testing, fatigue modelling and remaining fatigue life is also extensive. However, the number of publications related to monitor the fatigue process is scarce. A methodology to perform real-time structural fatigue monitoring, in both time and frequency domains, is presented.

Fatigue monitoring can be combined (applied simultaneously) with other vibration-based SHM techniques, which might significantly increase the reliability of the monitoring techniques.

In terms of countries, renewable energy sources are increasing their importance day by day. The decrease in fossil fuels and the difficulty of accessing the related fuels as well as their expensiveness can be cited as reasons for this situation. This situation obliges countries to make legal arrangements for the production and use of renewable energy sources in their legal systems. In this context, legal arrangements have been made in Turkey regarding the production and use of related energy resources. One of these regulations is the law dated May 10, 2005 and numbered 5346. The relevant law aims to bring electrical energy to the economy in a reliable, economical, and at the same time high quality way by using renewable energy sources. At the same time, the main purposes of enacting the law include increasing the diversity of resources in energy, reducing greenhouse gas emissions as much as possible, evaluating waste, and protecting the environment. At the same time, the law includes sustainable energy sources. It has been defined as nonfossil energy sources such as hydraulic, wind, solar, geothermal, biomass, waves, currents, and tides. In this context, the main purpose of the study is to examine what renewable energy sources are and to reveal the legal nature of energy services by considering the production and use of renewable energy sources in Turkey in the context of Turkish legal legislation.

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.

The purpose of this study was to examine the effect of perceived social support on postpartum depression (PPD) in Arab immigrant mothers and Turkish mothers.

This descriptive study was conducted with 140 mothers between September 2017 and January 2018. The data was collected via the Turkish and Arabic versions of the sociodemographic questionnaire, the Edinburgh Postnatal Depression Scale (EPDS) and the Multidimensional Scale of Perceived Social Support. Percentage and arithmetic mean calculations, independent samples t-test, Mann–Whitney U test, paired logistic regression analysis backward elimination method and Pearson and Spearman correlation analyses were conducted to analyze the data.

The data revealed that the risk of PPD was twice as high in Arab immigrant mothers (56.3%) compared to Turkish mothers (29%). The EPDS mean score was 12.37 ± 6.28 for Arab immigrant mothers and 8.81 ± 5.48 for Turkish mothers. The social support mean score was found to be 50.70 ± 19.27 for Arab immigrant mothers and 61.41 ± 16.51 for Turkish mothers. The independent risk factors for Turkish mothers included mother’s age, monthly income level and infant’s age, while the independent risk factors for Arab immigrant mothers included number of children, husband’s status of employment and access to regular medical care during pregnancy. The negative correlation between EPDS and social support overall scores and subscale scores was found to be significant for both groups.

To the best of the authors’ knowledge, this is the first study on the impact of social support on PPD in Arab immigrant and Turkish women in the national and international literature. The study helped reveal the correlation between perceived social support and PPD, the PPD risk rates and risk factors according to citizenship status for the first time.

Online privacy pertains to an individual’s capacity to regulate and oversee the gathering and distribution of online information. Conversely, online privacy concern (OPC) pertains to the protection of personal information, along with the worries or convictions concerning potential risks and unfavorable outcomes associated with its collection, utilization and distribution. With a holistic approach to these relationships, this study aims to model the relationships between digital literacy (DL), digital data security awareness (DDSA) and OPC and how these relationships vary by gender.

The participants of this study are 2,835 university students. Data collection tools in the study consist of personal information form and three different scales. Partial least squares (PLS), structural equation modeling (SEM) and multi-group analysis (MGA) were used to test the framework determined in the context of the research purpose and to validate the proposed hypotheses.

DL has a direct and positive effect on digital data security awareness (DDSA), and DDSA has a positive effect on OPC. According to the MGA results, the hypothesis put forward in both male and female sub-samples was supported. The effect of DDSA on OPC is higher for males.

This study highlights the positive role of DL and perception of data security on OPC. In addition, MGA findings by gender reveal some differences between men and women.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2023-0122