Abstract
As digital design methodologies and tools are evolving to higher abstraction levels, teaching the low-level concepts of digital electronic system design is becoming increasingly challenging. The raise of the design abstraction level and, more recently, the ability of AI-assisted automated design is pushing the interest of students away from the lower-level details of the digital world. Nevertheless, digital electronic systems are (still) made of transistors, gates and flip-flops, and people do need to keep this basic knowledge to be able to build efficient circuits, understand them and develop the essential electronic design automation tools. For learning these subjects, hands-on experimentation, and learning by doing, is proven to be an effective tool, and when students finally see and feel the results of their designs, motivation raises rapidly. This paper presents the technical aspects of a platform created in the DECEL project to support an FPGA-based remote laboratory based on a commercial single-board computer that can be located somewhere in the Internet. This computer runs a Linux operating system and is based on an AMD/XILINX device that integrates in the same chip an ARM Cortex A9 CPU and a region of FPGA programmable logic. The user develops a digital circuit using standard hardware-description languages (Verilog or VHDL) and runs the implementation tools for the target FPGA using a very simple web interface running in a remote server.

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This study focuses on exploring new formats and innovative approaches to digital storytelling in museums, offering a critical analysis of existing formats and proposing new perspectives. Initially, current digital storytelling formats are examined, ranging from mobile applications and augmented reality to interactive and multimedia exhibitions. Next, new paradigms and strategies are discussed that aim to expand the possibilities of public engagement and enrich museum experiences. Using a detailed method, careful selections, in-depth analyses and presentation of results are made that highlight both the potential and challenges of these new approaches. The final discussion contextualizes these practices in the current scenario of digital culture and suggests paths for future investigations and developments in the field of digital storytelling in museums.

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This article presents a systematic reviewof themost prevalent vulnerabilities plaguing web and mobile applications. By analyzing recent research, it identifies a core set of vulnerabilities, including injection flaws, broken authentication, crosssite scripting (XSS), and insecure direct object references. Recognizing the human element, the article acknowledges the role of social engineering in exploiting these technical weaknesses. The review delves deeper, exploring how these vulnerabilities manifest differently acrossweb and mobile platforms, considering factors like serverside security and API access. The research concludes by advocating for a defense strategy, emphasizing the importance of secure coding practices, robust authentication, and user awareness training. This comprehensive approach paves the way for a more secure digital landscape where both web and mobile applications can thrive.

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In today's competitive higher education sector, institutions increasingly rely on international rankings to secure financial resources, attract top-tier talent, and elevate their global reputation. Simultaneously, these universities have expanded their presence on social media, utilizing sophisticated posting strategies to disseminate information and boost recognition and engagement. This study examines the relationship between higher education institutions' (HEIs') rankings and their social media posting strategies. We gathered and analyzed publications from 18 HEIs featured in a consolidated ranking system, examining various features of their social media posts. To better understand these strategies, we categorized the posts into five predefined topics-engagement, research, image, society, and education. This categorization, combined with Long Short-Term Memory (LSTM) and a Random Forest (RF) algorithm, was utilized to predict social media output in the last five days of each month, achieving successful results. This paper further explores how variations in these social media strategies correlate with the rankings of HEIs. Our findings suggest a nuanced interaction between social media engagement and the perceived prestige of HEIs.