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Additive manufacturing (AM) is a rapidly evolving manufacturing process, which refers to a set of technologies that add materials layer-by-layer to create functional components. AM technologies have received an enormous attention from both academia and industry, and they are being successfully used in various applications, such as rapid prototyping, tooling, direct manufacturing and repair, among others. AM does not necessarily imply building parts, as it also refers to innovation in materials, system and part designs, novel combination of properties and interplay between systems and materials. The most exciting features of AM are related to the development of radically new systems and materials that can be used in advanced products with the aim of reducing costs, manufacturing difficulties, weight, waste and energy consumption. It is essential to develop an advanced production system that assists the user through the process, from the computer-aided design model to functional components. The challenges faced in the research and development and operational phase of producing those parts include requiring the capacity to simulate and observe the building process and, more importantly, being able to introduce the production changes in a real-time fashion. This paper aims to review the role of robotics in various AM technologies to underline its importance, followed by an introduction of a novel and intelligent system for directed energy deposition (DED) technology.

AM presents intrinsic advantages when compared to the conventional processes. Nevertheless, its industrial integration remains as a challenge due to equipment and process complexities. DED technologies are among the most sophisticated concepts that have the potential of transforming the current material processing practices.

The objective of this paper is identifying the fundamental features of an intelligent DED platform, capable of handling the science and operational aspects of the advanced AM applications. Consequently, we introduce and discuss a novel robotic AM system, designed for processing metals and alloys such as aluminium alloys, high-strength steels, stainless steels, titanium alloys, magnesium alloys, nickel-based superalloys and other metallic alloys for various applications. A few demonstrators are presented and briefly discussed, to present the usefulness of the introduced system and underlying concept. The main design objective of the presented intelligent robotic AM system is to implement a design-and-produce strategy. This means that the system should allow the user to focus on the knowledge-based tasks, e.g. the tasks of designing the part, material selection, simulating the deposition process and anticipating the metallurgical properties of the final part, as the rest would be handled automatically.

This paper reviews a few AM technologies, where robotics is a central part of the process, such as vat photopolymerization, material jetting, binder jetting, material extrusion, powder bed fusion, DED and sheet lamination. This paper aims to influence the development of robot-based AM systems for industrial applications such as part production, automotive, medical, aerospace and defence sectors.

The presented intelligent system is an original development that is designed and built by the co-authors J. Norberto Pires, Amin S. Azar and Trayana Tankova.

This paper aims to disseminate the results of research aiming to identify the prevalence of dysphagia and related clinical factors in nursing home residents.

A cross-sectional descriptive study was developed, including 99 residents in five nursing homes. A sociodemographic questionnaire and the Gugging Swallowing Screen for dysphagia screening were used for data collection.

The prevalence of dysphagia was 59.59%. A significant correlation was found between dysphagia and worse scores for fall risk, pressure ulcer, level of independence for activities of daily living and cognitive functioning.

Results should be interpreted carefully due to sample size and specific country context. A larger sample must be achieved in further research.

Nurses must receive proper training to perform systematic dysphagia screening, and it should be considered, given the high prevalence, the inclusion of professionals specially trained for rehabilitating dysphagic residents in nursing home teams.

The social and economic burden of dysphagia, in addition to all the implications on the person’s quality of life, requires a differentiated focus on this issue by nursing home managers.

Nursing homes have nurses providing health care; however, trained professionals for dysphagia treatment commonly are not. These results highlight the importance of systematic screening for dysphagia in all residents, thus promoting timely intervention to prevent respiratory and nutritional complications.

The purpose of this paper is to assess dimensions of the food choice process among older consumers. Based on Gains’ model (1994), the study focuses on the dimensions: consumer, food and context, and investigates these consumers’ heterogeneities through the identification of possible market segments.

A quantitative study was conducted with 401 respondents in Brazil. The data were analyzed using exploratory factor analysis and cluster analysis.

The results highlighted four factors related to characteristics of food (appearance, price, packaging and quality), and four related to characteristics of the context/environment of the store (staff characteristics, external shopping environment, internal store environment and ease of access). The results also showed that older consumers liked to make food purchases, even though their options were restricted by health issues. Two segments were identified. “Older with a restricted diet” comprised consumers with lower education levels. They had fewer daily meals (three) and chose food with more regard to health. The second segment “Younger and better educated” comprised respondents with higher education levels and higher income. They had more daily meals, and health was less of a restriction on food choice than it was for the first cluster.

This study applies Gains’ three dimensions’ food choice model, with the variables adjusted in detail to enable a description of the purchasing behaviors of older adults in Brazil.

The purpose of this paper is to look at the adoption of double entry bookkeeping at the Royal Treasury, Portugal, on its establishment in 1761 and the factors contributing to this development. The Royal Treasury was the first central government organization in Portugal to adopt double entry bookkeeping and was a crucial first step in the institutionalisation of the technique in Portuguese public administration.

Set firmly in the archive, this paper adopts new institutional sociology (NIS) to inform the findings of the local, time‐specific accounting policy and practice at the Portuguese Royal Treasury.

Embedded within the broader European context, this study identifies the key pressures exerted upon the Royal Treasury on its formation in 1761, which resulted in major accounting change within Portuguese central government from that date. The study provides further evidence of the importance of the state in the institutionalization of accounting practices by means of coercive pressures and highlights for Portugal the importance of individual actors who, as powerful change agents, made key decisions that influenced accounting change.

This study examines a major instance of accounting change in European central government and broadens the application of NIS in accounting history research to a different country – Portugal – and to a different time – the eighteenth century. It also serves to illuminate the difficulties of collecting pertinent evidence pertaining to this long‐dated time period in identifying certain forms of institutional pressures.

This paper seeks to propose a technology classification model for mobile content and service delivery platforms (MCSDPs), the core of mobile middleware technology providers' (MMTPs) value proposition.

The proposed model is grounded on existing literature and empirical research consisting of 40 in‐depth case studies with MMTPs and 102 semi‐structured interviews with top management from firms operating in the mobile content environment that already own or are interested in purchasing a MCSDP. Theoretical sampling was employed. The quality function deployment (QFD) technique was used to create the final technology classification schema.

The MCSDP technology classification model has three components: a MCSDP functional architecture, which describes platform structure in terms of its endowment of functionalities and capabilities; a MCSD classification schema, which allows the identification of a set of platform categories classified according to the range of functionalities usually possessed; and a technology classification schema consisting of a set of technology dimensions that directly influence platform efficiency and effectiveness.

The proposed model can be used for mapping existing and future MCSDP offer in terms of technological strengths and weaknesses and thus support decision‐making by platform vendors and buyers.

The main contribution is the creation of a reference framework capable of rigorously modelling the emergent phenomenon related to the rise of middleware platform providers within the mobile content environment. The paper also contributes to extending the existing QFD literature, since it demonstrates the house of quality tool's usefulness in a new context of application.