Abstract
Marine growth impacts the stability and integrity of offshore structures, while simultaneously preventing inspection procedures. In consequence, companies need to employ specialists that manually assess each impacted part of the structure. Due to harsh sub-sea environments, acquiring large quantities of quality underwater data becomes difficult. To mitigate these challenges a new data augmentation algorithm is proposed that generates new images by performing localized crops on regions of interest from the original data, expanding the total size of the dataset approximately 6 times. This research also proposes a learning-based algorithm capable of automatically delineating marine growth in underwater images, achieving up to 0.389 IoU and 0.508 Dice Loss. Advances in this area contribute for reducing the manual labour necessary to schedule maintenance operations in man-made submerged structures, while increasing the reliability and automation of the process.

Abstract
Despite the ubiquitous term climate neutral cities, there is a distinct lack of quantifiable and meaningful municipal decarbonization goals in terms of the targeted energy balance and composition that collectively connect to national scenarios. In this paper we present a simple but useful allocation approach to derive municipal targets for energy demand reduction and renewable expansion based on national energy transition strategies in combination with local potential estimators. The allocation uses local and regional potential estimates for demand reduction and the expansion of renewables and differentiates resulting municipal needs of action accordingly. The resulting targets are visualized and opened as a decision support system (DSS) on a web-platform to facilitate the discussion on effort sharing and potential realization in the decarbonization of society. With the proposed framework, different national scenarios, and their implications for municipal needs for action can be compared and their implications made explicit.

Abstract
Wikipedia is the world's largest online encyclopedia, but maintaining article quality through collaboration is challenging. Wikipedia designed a quality scale, but with such a manual assessment process, many articles remain unassessed. We review existing methods for automatically measuring the quality of Wikipedia articles, identifying and comparing machine learning algorithms, article features, quality metrics, and used datasets, examining 149 distinct studies, and exploring commonalities and gaps in them. The literature is extensive, and the approaches follow past technological trends. However, machine learning is still not widely used by Wikipedia, and we hope that our analysis helps future researchers change that reality.

Abstract
As profundas transformações globais deste século: pandemia do Covid-19, mudanças climáticas e inovações tecnológicas evidenciam a interdependência entre humano, natureza e tecnologia, desafiando a visão antropocêntrica predominante e redefinindo a compreensão do mundo. Esse contexto afeta a educação e consequentemente as pesquisas em educação que são instigadas a repensar o paradigma e a ética que orienta suas formas de operar. O objetivo é compreender como as transformações globais recentes desafiam o paradigma antropocêntrico predominante e provocam uma redefinição do paradigma educacional e da ética que fundamenta a educação e a pesquisa em educação, com foco na interdependência entre humanos, natureza e tecnologia. O procedimento metodológico envolve revisão teórica das contribuições de autores como Serres, Latour e Di Felice, que destacam a interconectividade entre humanos, natureza e tecnologia, o que contribui para pensar a educação no terceiro milênio. Os resultados sugerem que a educação permanece pouco permeável às mudanças globais e aos desafios para habitar o terceiro milênio. Perspectivas inovadoras, como o Paradigma da Educação OnLIFE, apresentam-se como alternativas que incorporam a conectividade digital e a hibridização dos espaços, tempos, tecnologias, presenças, linguagens e modalidades educacionais, na composição de novos espaços a serem habitados pelo ensinar e pelo aprender. Esse paradigma - ao operar na problematização e na invenção - refere-se a uma formação em ecossistemas ecologicamente conectados, onde humanos e não-humanos co-criam conhecimento em ambientes digitais e físicos, interligados, enfatizando a necessidade de uma nova política cognitiva na educação e, portanto, de uma ética que ultrapasse o antropocentrismo e adote uma perspectiva ecológica e conectiva.

Abstract

As climate change drives increasingly severe heatwaves, the strain on public health systems continues to grow, particularly for vulnerable populations. Our work argues for the integration of digital health technologies into heatwave action plans, drawing lessons from the COVID-19 pandemic's success in deploying such tools. It explores the potential of digital communication strategies, telemedicine, and data-driven simulations to enhance public awareness, maintain healthcare accessibility, and improve real-time crisis responses. Despite their effectiveness, digital solutions remain underutilized in existing European heat-health action plans. We emphasize the need for a proactive, systems-based approach to optimize heatwave management and ensure equitable healthcare access, particularly for at-risk communities. Integrating digital health innovations can transform heatwave response strategies, making them more flexible, efficient, and capable of saving lives.

Abstract
This paper discusses the assessment of integrating photovoltaic-battery hybrid power plants into the electrical grids of the Azores islands and their ability to comply with advanced network services. To ensure the hybrid power plant supports the grid operational requirements, a methodology was devised through steady-state and dynamic numerical simulations. On one hand, the steady-state analysis generated active-reactive power diagrams for different voltage levels at the plant’s interconnection point with the island’s grid, demonstrating that the internal grid of the PV-battery hybrid power plant allows a significant range of reactive power modulation in different operating conditions. On the other hand, dynamic analysis highlighted the plant’s crucial role in modulating reactive current production during grid faults. Additionally, it showed the plant’s capability to automatically reduce active power injection during over-frequency events and, as a result, lessening the frequency regulation effort for synchronous generators and fast energy storage system. © Energynautics GmbH.