Abstract
Nowadays ransomware attacks have become one of the main problems organizations face. The threat of ransomware attacks, with their capacity to paralyze entire organizations, creates the need to develop a ransomware recovery utility function to help further prepare for the impact of such attacks and enhance the organization's knowledge and perception of risk. This work proposes a ransomware recovery utility function that aims to estimate the impact of a ransomware attack measured in manpower hours till recovery and taking into account different devices and different scenarios.

Abstract
In the dynamic realm of nowadays manufacturing, integrating digital technologies has become paramount for enhancing operational efficiency and decision-making processes. This article presents a novel system architecture that integrates a Simulation-based Digital Twin (DT) with emerging trends in manufacturing to enhance decision-making, accompanied by a detailed technical approach encompassing protocols and technologies for each component. The DT leverages advanced simulation techniques to model, monitor, and optimize production processes in real time, facilitating both strategic and operational decision-making. Complementing the DT, trending technologies such as artificial intelligence, additive manufacturing, collaborative robots, autonomous vehicles, and connectivity advancements are strategically integrated to enhance operational efficiency and facilitate the adoption of the Manufacturing as a Service (MaaS) paradigm. A case study within a MaaS supplier context, deployed in an industrial laboratory with advanced robotic systems, demonstrates the practical application of optimizing dynamic job-shop configurations using Simulation-based DT, showcasing strategies to improve operational efficiency and resource utilization. The results of the industrial experiment were highly encouraging, underscoring the potential for extension to more intricate industrial systems, with particular emphasis on incorporating sustainability and remanufacturing principles.

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.