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In today’s digital age, news and social media are abuzz with ChatGPT and a myriad of advanced AI tools. Experts from disciplines like computer science and socioeconomics have discussed the profound transformations AI can bring. While certain industries have embraced AI, its penetration across all sectors remains uneven. Yet, even with this limited adoption, the psychological ramifications it presents for workplace employees are profound. Our study integrated social information processing and transactional stress theories to analyze the effect of automation brought by AI on job insecurity. Our study also considers whether moderating factors like supervisor–subordinate relationships and social media engagement can alleviate the adverse consequences of automation.

We empirically test our research hypotheses with longitudinal data from the US General Social Survey (GSS).

Using US General Social Survey data, our findings indicate that employees in industries with high automation potential are more susceptible to job insecurity. Interestingly, social media engagement appears to dampen this relationship, while the quality of the supervisor–subordinate relationship shows negligible impact.

This study provides valuable insights into the effects of automation potential and the role of social media engagement in coping with it, making a meaningful contribution to the existing literature in this area.

The purpose of this paper is to introduce the Futures Triangle 2.0, a methodological advancement of the Futures Triangle method (Inayatullah, 2008), which better integrates the original method with Scenario Planning by visually representing scenarios against the three dimensions of the Triangle, i.e. pulls, pushes and weights.

The paper explains the theoretical rationale behind the creation of the method, outlines the steps required to use it in a futures workshop or in a futures research project with a step-by-step procedure and reports a case study of its application in practice.

The Futures Triangle 2.0 encourages a deliberate and systematic discussion on the three dimensions of the Futures Triangle in each scenario and on whether scenarios differ in these attributes. The method allows the foresight researcher/practitioner to capture the valuable tensions between weights on the past on one hand and pushes of the present/pulls of the futures on the other hand, and to make sure that the scenarios differ substantially in these three attributes.

The method integrates the Futures Triangle and Scenario Planning in an intuitive, easily reproducible and visually pleasant graphical procedure.

This study aims to explore why marine development and maritime security in Pakistan are significant and what the Chinese concerns are. Therefore, the objective of this research is to analyse a growing Pak–China bilateral interests, particularly at Gwadar, to achieve the geostrategic objectives of China–Pakistan Economic Corridor (CPEC).

The study adopts a qualitative means to discuss the significance of China’s ambitions towards the CPEC project concerning strategic deep-sea management and maritime regulations in the region, with a particular focus on the Gwadar Port.

The paper concludes that the Gwadar Port is a critical element for maritime security in the whole region. The study also provides an analysis of national and international, security and legal challenges associated with CPEC.

Most of the potential outcomes have already been discussed in public, though a limited academic discussion is available on the legal aspects. It is particularly so with regard to the development and capacity building in the maritime sector of Pakistan under this project. This study aims to explore why marine development and maritime security in Pakistan is significant and what the Chinese concerns are.

The purpose of this study is to investigate the application of non-destructive testing methods in measuring bearing oil film thickness to ensure that bearings are in a normal lubrication state. The oil film thickness is a crucial parameter reflecting the lubrication status of bearings, directly influencing the operational state of bearing transmission systems. However, it is challenging to accurately measure the oil film thickness under traditional disassembly conditions due to factors such as bearing structure and working conditions. Therefore, there is an urgent need for a nondestructive testing method to measure the oil film thickness and its status.

This paper introduces methods for optically, electrically and acoustically measuring the oil film thickness and status of bearings. It discusses the adaptability and measurement accuracy of different bearing oil film measurement methods and the impact of varying measurement conditions on accuracy. In addition, it compares the application scenarios of other techniques and the influence of the environment on detection results.

Ultrasonic measurement stands out due to its widespread adaptability, making it suitable for oil film thickness detection in various states and monitoring continuous changes in oil film thickness. Different methods can be selected depending on the measurement environment to compensate for measurement accuracy and enhance detection effectiveness.

This paper reviews the basic principles and latest applications of optical, electrical and acoustic measurement of oil film thickness and status. It analyzes applicable measurement methods for oil film under different conditions. It discusses the future trends of detection methods, providing possible solutions for bearing oil film thickness detection in complex engineering environments.