Abstract
Este capítulo abordou o desenvolvimento de competências empreendedoras no ambiente acadêmico, a partir do Paradigma da Educação OnLIFE e seus fundamentos teóricos. A Educação OnLIFE, um paradigma que emerge e vai se constituindo na conexão com a vida online e offline, é analisada em relação ao desenvolvimento de competências empreendedoras, destacando sua relevância e pertinência no contexto educacional moderno. Inicialmente, o capítulo define e identifica as competências empreendedoras essenciais, discutindo suas características. Em seguida, é apresentada uma concepção de educação empreendedora OnLIFE, enfatizando a flexibilidade curricular para permitir que os estudantes sejam co-criadores dos ambientes ecologicamente conectados, desenvolvendo trajetórias de aprendizado de acordo com seus interesses e necessidades de uma sociedade Onlife. O capítulo também propõe uma rede de Competências para Educação Empreendedora, que se conflua em dimensões da formação do empreendedor no paradigma da Educação OnLIFE: (1) Competências Empreendedoras, (2) Competências Comportamentais, (3) Competências Técnicas, (4) Competências digitais, (5) Competências para o Século XXI, (6) Competências Verdes e Azuis, e (7) Competências para a Educação OnLIFE. Assim, aprofundam-se os conceitos da Educação OnLIFE, explicando como esse paradigma inovador pode problematizar a práxis para o ensino e a aprendizagem do empreendedorismo.

Abstract
Semantic segmentation is a relevant process for creating the rich semantic maps required for indoor navigation by autonomous robots. While foundation models like Segment Anything Model (SAM) have significantly advanced the field by enabling object segmentation without prior references, selecting an efficient variant for real-time robotics applications remains a challenge due to the trade-off between performance and accuracy. This paper evaluates three such variants — FastSAM, MobileSAM, and SAM 2 — comparing their speed and accuracy to determine their suitability for semantic mapping tasks. The models were assessed within the Robot@VirtualHome dataset across 30 distinct scenes, with performance quantified using Frames Per Second (FPS), Precision, Recall, and an Over-Segmentation metric, which quantifies the fragmentation of an object into multiple masks, preventing high quality semantic segmentation. The results reveal distinct performance profiles: FastSAM achieves the highest speed but exhibits poor precision and significant mask fragmentation. Conversely, SAM 2 provides the highest precision but is computationally intensive for real-time applications. MobileSAM emerges as the most balanced model, delivering high recall, good precision, and viable processing speed, with minimal over-segmentation. We conclude that MobileSAM offers the most effective trade-off between segmentation quality and efficiency, making it a good candidate for indoor semantic mapping in robotics.

Abstract
This paper presents the experimental validation of an overactuated Quadrotor TiltRotor (QTR) prototype through a testbench experiment focused on angular stability analysis. The QTR incorporates an additional degree of freedom via four servomotors, enabling enhanced maneuverability and effective disturbance rejection. The experiment was conducted under controlled conditions to evaluate roll, pitch, and yaw stability, with full battery charge and predefined initial orientations. Also, the system relies on a Fast Control Allocation (FCA) strategy to distribute control efforts among redundant actuators in real time optimally. Then, the results confirm the effectiveness of the proposed overactuated architecture in maintaining stability, accurately tracking setpoints, and handling actuator saturation. These findings support the viability of the QTR design for future applications in cooperative robotic systems and autonomous aerial missions. © 2025 IEEE.

Abstract
Interoperability among diverse devices, from traditional substation control rooms to modern inverters managing components like Distributed Energy Resources (DERs), is a primary challenge in modern power systems. It is essential for streamlining decision-making and control processes through effective communication, ultimately enhancing energy management efficiency. This paper introduces the open-source Legacy Protocol Converter (LPC) grounded in the IEEE 2030.5 standard, which incorporates advanced features for improved adaptability. The LPC bridges legacy equipment using standard protocols such as Message Queuing Telemetry Transport (MQTT) and Modbus with a light-weight asynchronous Neural Autonomic Transport System (NATS) communication system. In light of the limitations inherent in traditional synchronous RESTful systems-specifically those compliant with IEEE 2030.5 that are incapable of facilitating multiple endpoints-the adoption of asynchronous NATS is implemented. This approach can notably enhance communication flexibility and performance. The implementation is containerized for efficient service orchestration and supports the reusability of solutions. The LPC is engineered for seamless integration of DERs with Energy Management System (EMS), aggregation platforms, and Hardware-in-the-loop (HIL) testing environments. In this paper, the LPC has been tested and further developed in various use cases such as multi-physics optimization involving HIL and fast frequency services, e.g., virtual inertia and load shedding, each in a different architectural setup. The findings validate the applicability of LPC not only for devices within modern power systems, but also for heat pumps in the thermal energy sector, facilitating sector coupling. Moreover, the paper provides additional insights into LPC's functionality, reaffirming its efficacy as a scalable, robust, and user-friendly solution for bridging legacy systems through the enhanced IEEE 2030.5 standard designed for the monitoring and control of DERs.

Abstract
Research on Programmable Electromagnetic Surfaces has gained considerable attention as an enabling technology for 6G communications, particularly at millimeter-wave and sub-THz bands. However, RISs face challenges related to the need for high-performance reconfigurable techniques that offer compact size and reduced power consumption at high frequencies. Moreover, the experimental characterization of unit cell performance using a waveguide remains a challenging issue. This paper discusses the design and performance analysis of a 1-bit reconfigurable unit cell at the Dband using non-volatile reconfigurable technology. The efficiency analysis of the unit cell was performed using periodic boundary conditions and waveguide configurations to mitigate simulation risks and validate the proposed design at the unit cell level. All simulation configurations confirmed an operational bandwidth of 25.65 GHz across the 147.8-173.45 GHz range, with a reflection loss of less than 1 dB and a phase difference within 180 degrees +/- 20 degrees.

Abstract
This paper presents an adaptive protection strategy for multi-microgrid (MMG) systems with inverter-based resources (IBRs) in medium voltage (MV) networks, using the IEEE 33-bus test system. The approach combines overcurrent (OC) and undervoltage (UV) protections through an offline-optimized, clustering-based scheme and real-time selection of setting groups. A metaheuristic algorithm determines optimal relay settings for representative scenarios, ensuring responsive and coordinated protection. Hardware-in-the-loop validation on OPAL-RT confirms the method's effectiveness across varying loads, DER outputs, and fault conditions. Results demonstrate reliable fault isolation, smooth mode transitions, and uninterrupted supply to healthy segments. Identified limitations in high-impedance fault handling suggest future improvements.