Abstract
This case study aims to analyze the impact of the digital transformation on Delta Cafes. To this end, a consumer survey was carried out to understand their perception of the brand, from the products to how the company works and its actions. The sample consisted of 140 participants. An attempt was also made to understand whether the participants' perceptions were independent of whether or not they were Delta Cafes customers. The chi-square test results indicate that Delta Cafes customers are more aware of the brand, both because of the coffee and because of its founder, are more aware of the social responsibility actions carried out by the company and are more involved with organizations that positively impact society. Finally, an interview was conducted with Delta's Systems Director, who has been with the company for 12 years and is currently responsible for 54 employees out of a total of around 3500 employees. The interview lasted approximately 1 h and 15 min, via Zoom. The big challenge is to automatically manage all the processes associated with finance, logistics and production. Delta is looking to digitize the whole organization, which will free people from superfluous tasks and allow them to perform others that matter more. Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) and Electronic Data Interchange (EDI) have all been implemented, as well as e-commerce and m-commerce (Delta Mobile). Dehumanization and loss of human capital are a risk of digitization which Delta Cafes seeks to avoid through trainingone of the pillars of the organization.

Abstract
This paper aims to evaluate how different combinations of multisensory stimuli affect the vividness of users' mental imagery in the context of virtual tourism. To this end, a between-subjects experimental study was conducted with 94 participants, who were allocated to either a positive or a negative immersive virtual environment. The positive environment contained only pleasant multisensory stimuli, whereas the negative contained only unpleasant stimuli. For each of the virtual experiences, a multisensory treasure hunt was developed, where each object found corresponded to a planned combination of stimuli (positive or negative, accordingly). The results showed that positive stimuli involving a higher number of sensory modalities resulted in higher reported vividness. In contrast, when the same multisensory modalities were delivered with negative stimuli, vividness levels decreased - an effect we attribute to potential cognitive overload. Nevertheless, some reduced negative combinations (audiovisual with smell and audiovisual with haptics) remained effective, indicating that olfactory and haptic cues play an important role in shaping users' vividness of mental imagery, even in negative contexts.

Abstract
This study aims to explore the impact of seven dimensions of local communities’ involvement in the context of the sustainable open innovation paradigm on entrepreneurial performance considering a tri-dimensional perspective comprising turnover, innovation capacity (IC), and employability. A quantitative methodology was adopted, applying correlational analysis and hypothesis testing to a total of 296 new ventures based in European science parks. The findings indicate that only the entrepreneurial capacity of new ventures has improved, but not turnover and employment. Also, only years of experience in open innovation networks contribute to increasing the performance of entrepreneurs in their IC, but age and gender are not significant factors. This study broadens the scope of sustainable open innovation by positioning local communities as central actors rather than peripheral stakeholders. It enriches key theoretical frameworks such as Sustainable Development Goals (SDGs) and social capital theory by emphasizing community-driven innovation. Practically, it offers actionable strategies for engaging communities and guiding policymakers toward inclusive innovation policies, thereby contributing to both academic discourse and real-world impact in sustainability and innovation ecosystems.

Abstract
EMSO ERIC is a unique European distributed marine Research Infrastructure dedicated to the observation and study of the deep ocean in the long term in fixed regional areas. It provides different services of which access to its infrastructure by external users -engineers, scientists and researchers-, working both in the public and private sectors. The aim of this service, called physical access, is to facilitate access to instrumented platforms deployed at different sites across the European seas, from the seabed to the surface, in order to perform experiments in geosciences and engineering in real ocean conditions. Depending on the logistics and availability of each site, users may deploy their own platforms, instruments, systems or technologies to be tested by the existing equipment that, in this case, can provide reference measurements. Users may also deploy their own systems on the existing EMSO platforms, either in standalone mode or connected to them, receiving power and, in some cases, being able to transmit data by satellite or by cable, depending on the site. Projects requiring the use of several EMSO sites are also accepted. The host EMSO Regional Facility provides logistics and technical support in order to deploy and recover the systems, access the data and it may also offer training and co-development. EMSO ERIC launches the physical access call on a yearly basis and evaluates the received project proposals every two months. Access is free of charge and funding is available for travel, consumables, shipping, operations and hardware adaptations needed to run the project. Since 2022, when the first call was launched, ten projects with varied topics have been funded and are in different phases of execution.

Abstract

Abstract
This paper presents an optimized framework for Post-Disaster Search and Rescue (PDSR) that leverages multiple Unmanned Aerial Vehicles (UAVs) equipped with integrated radar and communication capabilities to simultaneously address sensing and connectivity requirements. The proposed solution includes a scalable system architecture and an optimization strategy that enable the rapid deployment of UAV swarms with diverse sensing, communication, and edge-enabled coordination features, ensuring enhanced performance in real-world disaster environments. The proposed approach formulates and solves a 3D UAV positioning and power allocation problem to maximize sensing performance and communication efficiency over multiple targets in designated zones. Due to the NP-hard and combinatorial nature of the problem, we propose a Distributed Joint Radar-Communication (DJRC) solution. This solution employs an efficient reward for potential actions and consistently selects the best action that maximizes the reward while ensuring both communications and sensing performance. Simulation results demonstrate significant performance improvements of the proposed solution over state-of-the-art radar- or communication-centric methods, with polynomial complexity dependent on the number of UAVs and linear dependence on the iteration count.