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Contributions of artificial intelligence to decision making in nursing: a scopi...

Fernandes, Filipe; Shinners, Lucy; Mota, Mauro; Santos, Paulo; Sá, Luís

Recognizing the complexity of decision-making is essential in nursing practice, where Artificial Intelligence (AI) can serve as a valuable tool to support nurses in the process of decision-making. This scoping review aims to map and systematize evidence regarding AI's contributions to nursing decision-making, following the Joanna Briggs Institute (JBI) methodological approach. Databases consulted: CINAHL Comple...


Aprendizagem imersiva de engenharia de requisitos de software

Rodrigues, Claudia Susie; Fernandes, Filipe; Cardoso, Diego; Werner, Cláudia

Este artigo apresenta uma investigação experimental conduzida durante um curso de Engenharia de Software (ES) na COPPE, Universidade Federal do Rio de Janeiro, com o objetivo de avaliar o desenvolvimento e o impacto de um Ambiente Virtual (VE) projetado para educação em ES, com foco específico em requisitos de software. O estudo avaliou como a natureza imersiva dos VEs contribui para otimizar os resultados da a...


Evaluation of Employment Contentment among Nurses in Critical Care Settings

Fernandes, Filipe; Dias, Almeida; Araújo, Isabel; Ribeiro, Jorge; Vicente, Henrique; Neves, José

In Intensive Care Units (ICUs), nurses operate within an environment where data may be interpreted in entropic terms, directly influencing rapid decision-making and strategy formulation, i.e., this high-stakes environment necessitates seamless collaboration between nurses, physicians, and patients, which is vital for the association and consolidation of long-term objectives. Indeed, job satisfaction for nurses ...


Microstructure, Mechanical, and Tribological Properties of Mo2N/Ag-SiNx Nanomul...

Fernandes, Filipe; Luan, Jing; Wang, Lei; Dong, Songtao; Ferreira, Fábio; Mo, Changpan; Cavaleiro, Albano; Ju, Hongbo

The multilayered Mo2N/Ag-SiNx self-lubricant films were designed and deposited using a DC (Direct Current) magnetron sputtering system under mixed gas atmosphere of N2 and Ar. The modulation ratio (thickness ratio of Mo2N to Ag-SiNx) was fixed at 2:1, while the modulation periods (thickness of Mo2N and its adjacent Ag-SiNx layer) were set at 20, 40, and 60 nm. The results indicated that all multilayer films, re...


Nitrogen alloyed MoSe2 coatings – Role of optimized morphology, structure and m...

Fernandes, Filipe; Yaqub, Talha Bin; Nadeem, Irfan; Yaqoob, Khurram; Kalin, Mitjan; Cavaleiro, Albano

Transition metal dichalcogenide (TMD) coatings are gaining increasing interest among the scientific community as eco-friendly solutions for reducing friction, improving energy conservation, and lowering carbon footprints. N-alloyed MoSe2 coatings (MoSeN), a subset of TMDs, remain largely underexplored, with no research on their frictional performance across various sliding environments. Herein, an in-depth anal...


Machinability and surface integrity analysis of Ti-17 alloy using WEDC for adva...

Fernandes, Filipe; Chinna, Ramatenki; Sharma, Priyaranjan

Recent advancements in aerospace industry demand intricate aero-engine parts, leading to the increased use of titanium alloys, particularly Ti-17, due to its high strength, thermal stability, and corrosion resistance. However, its low thermal conductivity and tool wear tendency pose significant machining challenges, impacting surface integrity, fatigue life, and overall component performance. This study investi...


Mutually enhanced mechanical and tribological properties in magnetron sputtered...

Fernandes, Filipe; Luan, Jing; Wang, Lei; Dong, Songtao; Choukourov, Andrei; Yang, Junfeng; Kalin, Mitjan; Cavaleiro, Albano; Ju, Hongbo

Achieving simultaneous enhancement of both mechanical and self-lubricating properties by incorporating soft lubricants into nitride films has been a longstanding challenge in the development of solid lubricant materials. This paper introduced a novel approach to overcome this challenge by developing coherent-structured Mo2N/Ag-SiNx multilayered films using radio frequency (RF) magnetron sputtering. The multilay...


Performance analysis of steel W18CR4V grinding using RSM, DNN-GA, KNN, LM, DT, ...

Fernandes, Filipe; Touati, Sofiane; Boumediri, Haithem; Karmi, Yacine; Chitour, Mourad; Boumediri, Khaled; Zemmouri, Amina; Moussa, Athmani

This study presents an innovative approach to optimizing the grinding process of W18CR4V steel, a high-performance material used in reamer manufacturing, using advanced machine learning models and multi-objective optimization techniques. The novel combination of Deep Neural Networks with Genetic Algorithm (DNN-GA), K-Nearest Neighbors (KNN), Levenberg-Marquardt (LM), Decision Trees (DT), and Support Vector Mach...


Improvement of Surface Properties and Wear Resistance of Selective Laser Meltin...

Fernandes, Filipe; Fathipour, Zahra; Hadi, Morteza; Bayat, Omid

nconel 625 alloy is widely utilized in the production of components for demanding industries. This study investigates the effect of ultrasonic nanocrystal surface modification (UNSM) on the surface properties and wear resistance of Inconel 625 alloy produced by selective laser melting (SLM). Specifically, it focused on analyzing the effect of UNSM on the microstructure, hardness, surface roughness, coefficient ...


Zirconium aluminum nitride thin films for temperature sensing applications

Fernandes, Filipe; Martins, Bruno; Patacas, Carlos; Cavaleiro, Albano; Faia, Pedro; Alves, Cristiana F. Almeida; Carbo-Argibay, Enrique

This study explores the development and characterization of zirconium aluminum nitride (ZrAlN) thin films produced via magnetron sputtering for temperature sensing applications. The sensor film is integrated into a fully nitride multilayer coating and designed to work in harsh environments. The ZrAlN demonstrated stable semiconductor behavior up to 750 °C, making it suitable for high-temperature thermistors, wi...


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