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Massive open online courses (MOOCs) have been gaining popularity as non-formal lifelong learning educational platforms. However, they have been criticized for their low completion rate and low ability for networking. The purpose of this paper is to analyze how incorporating entrepreneurial competencies in MOOCs develops attributes of educational innovation and collaborative projects.

The research followed a three-stage process: in first stage, a comprehensive literature review was conducted to identify dimensions of entrepreneurial skills and attributes of educational innovation in MOOCs. In the second stage, a quantitative study was carried out, based on the analysis of pre- and post-test surveys taken by a sample of 6,517 participants. In the last stage, the interaction analysis model/computer-mediated communication analysis model was applied through qualitative analysis, using the MAXQDA tool to identify if entrepreneurship opportunities were generated in the interactions within the discussion forums of the MOOCs.

The results show that the analyzed MOOCs have an overall completion rate of 12.55 per cent, above the average of the rates found in the literature review. However, only 14.29 per cent of the participants expressed at least one opportunity to generate ventures related to the topics of energy in the discussion forums.

This research could help instructional designers and universities to consider the inclusion of entrepreneurship issues in the design of MOOCs’ content and to encourage more activities that promote networking among participants, to identify business potential from the educational materials.

This research is one of the very few studies on entrepreneurship competencies in MOOCs to understand how the inclusion of issues related to entrepreneurship in MOOCs can generate a positive impact on participants.

The porpose of this study is to critically consider the use of global reporting initiative (GRI) guidelines in universities’ sustainability reports.. In light of the recent literature and Habermas’s thinking, the study advances the research field by considering the process of internal colonisation from steering institutions and makes suggestions regarding the future role of GRI in the higher education (HE) context.

This study presents a systematic literature review and content analysis for enhancing the critical reading of GRI applications in HE studies. The results are analysed in light of Habermas’s thinking, considering the GRI as a steering institution and its guidelines as steering mechanisms.

This study updates the literature review on sustainability reporting (SR) at universities and underlines the general trend in the employment of the GRI in this context. The results highlight the need to adapt the GRI to enhance its applicability in the HE context by considering additional dimensions such as research, teaching and operations. In doing so, the framework loses effectiveness and weakens the role of the GRI as a steering institution.

The results suggest that the GRI guidelines should be reframed to enhance comparability among reports and increase its wider employment at universities.

Universities need to be guided in their accountability process towards SR by dedicated frameworks. This study suggests the potentially pivotal role that the GRI could play in providing dedicated tools for HE to steer and enhance the development of SRs at universities.

This study presents an updated review of studies on SR at universities and suggests possible paths for the future of the GRI framework applicability to universities’ SR.

The paper aims to solve the problem of personnel intrusion identification within the limits of high-speed railways. It adopts the fusion method of millimeter wave radar and camera to improve the accuracy of object recognition in dark and harsh weather conditions.

This paper adopts the fusion strategy of radar and camera linkage to achieve focus amplification of long-distance targets and solves the problem of low illumination by laser light filling of the focus point. In order to improve the recognition effect, this paper adopts the YOLOv8 algorithm for multi-scale target recognition. In addition, for the image distortion caused by bad weather, this paper proposes a linkage and tracking fusion strategy to output the correct alarm results.

Simulated intrusion tests show that the proposed method can effectively detect human intrusion within 0–200 m during the day and night in sunny weather and can achieve more than 80% recognition accuracy for extreme severe weather conditions.

(1) The authors propose a personnel intrusion monitoring scheme based on the fusion of millimeter wave radar and camera, achieving all-weather intrusion monitoring; (2) The authors propose a new multi-level fusion algorithm based on linkage and tracking to achieve intrusion target monitoring under adverse weather conditions; (3) The authors have conducted a large number of innovative simulation experiments to verify the effectiveness of the method proposed in this article.