Abstract
Escape rooms offer an immersive and engaging learning experience that encourages critical thinking, problem solving and teamwork. Although they have shown promising results in promoting student engagement in the teaching-learning process, they continue to operate as independent systems that are not fully integrated into educational environments. This work aims to detail the integration of educational escape rooms, based on international standards, with the typical central component of an educational setting - the learning management system (LMS). In order to proof this concept, we present the integration of a math escape room with the Moodle LMS using the Learning Tools Interoperability (LTI) specification. Currently, this specification comprises a set of Web services that enable seamless integration between learning platforms and external tools and is not limited to any specific LMS which fosters learning interoperability. With this implementation, a single sign-on ecosystem is created, where teachers and students can interact in a simple and immersive way. The major contribution of this work is to serve as an integration guide for other applications and in different domains. © Ricardo Queirós, Carla Pinto, Mário Cruz, and Daniela Mascarenhas;

Abstract

Abstract
The assertive online strategies of Portuguese luxury fashion brands/designers (LFBDs) are essential for managers to succeed in the digital medium and establish long-lasting relationships with clients. This paper explores the challenges in digitizing all the dis-tinctive elements of a luxury fashion brand: the product characteristics, the luxury atmosphere, the personalization of the service, and the services provided. Fourteen Portuguese brands/designers were selected for content analysis. According to Hansen's framework, 43% of Portuguese LFBDs fail to share information about their com-panies on their websites, and only 43% include promotions. Only 36% have a com-munity outside the websites, compared to 93% of the international luxury fashion brands. Moreover, Portuguese websites lack 360 & DEG; technology and augmented reality. Considering the Digital Visual Merchandising - MVD Grid, Portuguese LFBDs do not allow multiple zooms and 2D F/T cursor change, while international brands feature these tools. Regarding the Social Media Performance Analysis Grid, the global aver-age engagement rate of Portuguese LFBDs on Facebook is 0.19% and on Instagram - 0.89%. According to Social Media Content Analysis Grid, Portuguese brands bet a lot on sharing content in story format, mainly on Instagram; however, Facebook has a higher network value. Therefore, the findings show that Portuguese LFBDs should be present and market their products online. This online presence must be supported by a multi-channel strategy while maintaining luxury product characteristics and elements of differentiation.

Abstract
This paper presents a planning and operational strategy to improve the recoverability of distribution systems (DSs) to deal with a set of possible line fault scenarios. The strategy simultaneously optimizes the allocation of dispatchable distributed generation (DG) units while coordinating a dynamic restoration process based on a radial topology reconfiguration, an islanding operation, a demand response program, and the pre-positioning and dispatch of mobile emergency storage units. The uncertainty and variability associated with solar irradiation and demand are captured via a multi-period formulation based on a stochastic mixed-integer linear programming model. The objective function of this model minimizes the investment cost of new dispatchable DG units and the amount of energy shedding within the system. Simulations are performed on adapted 33-node and 53-node test systems to validate the proposed strategy under four different test conditions, numerical results reveal the advantages of simultaneously solving the planning and operational stages to improve the recoverability of the system.

Abstract
The 10th edition of the Technological Ecosystems for Enhancing Multiculturality (TEEM 2022) brings together researchers and postgraduate students interested in combining different aspects of the technology applied to knowledge society development, with particular attention to educational and learning issues. This volume includes contributions related to communication, educational assessment, sustainable development, educational innovation, mechatronics, and learning analytics. Besides, the doctoral consortium papers close the proceedings book from a transversal perspective. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Abstract
An autonomous vehicle relying on LiDAR data should be able to assess its limitations in real time without depending on external information or additional sensors. The point cloud generated by the sensor is subjected to significant degradation under adverse weather conditions (rain, fog, and snow), which limits the vehicle's visibility and performance. With this in mind, we show that point cloud data contains sufficient information to estimate the weather accurately and present MobileWeatherNet, a LiDAR-only convolutional neural network that uses the bird's-eye view 2D projection to extract point clouds' weather condition and improves state-of-the-art performance by 15% in terms of the balanced accuracy while reducing inference time by 63%. Moreover, this paper demonstrates that among common architectures, the use of the bird's eye view significantly enhances their performance without an increase in complexity. To the extent of our knowledge, this is the first approach that uses deep learning for weather estimation using point cloud data in the form of a bird's-eye-view projection.