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As LLMs gain an increasingly relevant role and agency, their alignment with human values, principles and goals is crucial for their responsible deployment and acceptance. The main goal of this study is to assess the alignment of different LLMs regarding the relative importance of AI Ethics principles across different domains. To this end, human experts in different domains were asked, through a questionnaire, to rate the relative importance of six AI Ethics principles in their respective domains, totaling 6 domains. Then, five publicly available LLMs were asked to rate the same Ethics principles in different domains. Multiple prompts were used multiple times, to also evaluate consistency, totaling 90 runs per LLM. Model alignment was measured through the correlation with human experts, and consistency was evaluated through the standard deviation. Results show varying degrees of alignment and consistency, with a couple of models showing satisfactory results. This makes it possible to envisage the use of such models to automatically configure and adapt data pipeline ecosystems and architectures across different domains, selecting processes, dashboard elements or monitored KPIs according to the target domain or the goals of the system.

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This article presents the prototyping of an educational manipulator robot, based on the EEZYbotARM Mk2 robot, tailored for first-year master's students in the field of robotics. The project encompasses the assembly of the robot arm, computation of both forward and inverse kinematics, and analysis of two path-planning movement algorithms. These features are consolidated into an Arduino library to streamline the process for students to generate instructions for the robot. The EEZYbotARM Mk2 features a three-degree-of-freedom revolute arm with a gripper that remains parallel to its base at all times, enhancing its suitability for educational applications such as pick-and-place tasks. The article provides detailed descriptions of the materials and methods employed, along with proposed challenges for student engagement.

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Similar to software systems, programming languages evolve substantially over time. Indeed, the community has more recently seen the release of new versions of mainstream languages in shorter and shorter time frames. For instance, the C++ working group has begun to release a new version of the language every 3 years, which now has a greater number of modern C++ features and improvements in modern standards (C++11, C++14, C++17, and C++ 20). Nonetheless, there is little empirical evidence on how developers are transitioning to use modern C++ constructs in legacy systems, and not understanding the trends and reasons for adopting these new modern C++ features might hinder software developers in conducting rejuvenation efforts. In this paper, we conduct an in-depth study to understand the development practices of KDE contributors to evolve their projects toward the use of modern C++ features. Our results show a trend in the widespread adoption of some modern C++ features (lambda expressions, auto-typed variables, and range-based for) in KDE community projects. We also found that developers in the KDE community are making large efforts to modernize their programs using automated tools, and we present some modernization scenarios and the benefits of adopting modern C++ features of the C++ programming language. Our results might help C++ software developers, in general, to evolve C++ legacy systems and tools builders to implement more effective tools that could help in rejuvenation efforts.

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This article introduces a new theoretical concept, the foreign champion, which attempts to solve the principal-agent problem and improve academic understanding of foreign market entry decisions by analyzing what experts in the field consider to be best practices. Based on empirical research into the determinants of SME internationalization success, semi-structured interviews (n = 12, t = 5 h 10 min.) were conducted with industry experts, including one academic, government officials, chamber and association leaders, a venture capitalist, and several CEOs, and key testimonies were studied using qualitative analysis software. The results shed light on effective internationalization strategies and common market entry mistakes. Despite the perception of saturation, the prominence of the experts, and the large sample, there may be limitations, such as not covering several regions. The originality of this study lies in its conceptual framework, the insights gained from the select interviews, and a new concept of foreign market entry.

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