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The aim of this chapter is to describe a four-type model of organisational structures and to discuss two cases, Embrapa and the Brazilian Agricultural Research Corporation, as well as additional cases at SAM-Research and the centre for shared medical support services established at the University of Bologna.

These cases should help readers understand the importance of designing distinctive, tailored-made support services while keeping these structures flexible for further adaptation under unforeseen changes.

The chapter concludes by stressing the role of institutions to steadily invest in the design of these tailored support structures and in personalised training for their support staff.

Increasingly 3D printing is used for parts of garments or for making whole garments due to their flexibility and comfort and for functionalizing or enhancing the aesthetics of the final garment and hence adding value. Many of these applications rely on complex programming of the 3D printer and are usually provided by the vendor company. This paper introduces a simpler, easier platform for designing 3D-printed textiles, garments and other artifacts, by predicting the optimal orientation of the target objects to minimize the use of plastic filaments.

The main idea is based on the shadow-casting analogy, which assumes that the volume of the support structure is similar to that of the shadow from virtual sunlight. The triangular elements of the target object are converted into 3D pixels with integer-based normal vectors and real-numbered coordinates via vertically sparse voxelization. The pixels are classified into several groups and their noise is suppressed using a specially designed noise-filtering algorithm called slot pairing. The final support structure volume information was rendered as a two-dimensional (2D) figure, similar to a medical X-ray image. Thus, the authors named their method modified support structure tomography.

The study algorithm showed an error range of no more than 1.6% with exact volumes and 6.8% with slicing software. Moreover, the calculation time is only several minutes for tens of thousands of mesh triangles. The algorithm was verified for several meshes, including the cone, sphere, Stanford bunny and human manikin.

Simple hardware, such as a CPU, embedded system, Arduino or Raspberry Pi, can be used. This requires much less computational resources compared with the conventional g-code generation. Also, the global and local support structure is represented both quantitatively and graphically via tomographs.

Two-level support with Level 1 consisting of a set of beams and Level 2 consisting of a tree-like structure is an efficient support structure for extrusion-based additive manufacturing (EBAM). However, the literature for finding a slim two-level support is rare. The purpose of this paper is to design a lightweight two-level support structure for EBAM.

To efficiently solve the problem, the lightweight design problem is split into two subproblems: finding a slim Level 1 support and a slim Level 2 support. To solve these two subproblems, this paper develops three efficient metaheuristic algorithms, i.e. genetic algorithm (GA), genetic programming (GP) and particle swarm optimization (PSO). They are problem-independent and are powerful in global search. For the first subproblem, considering the path direction is a critical factor influencing the layout of Level 1 support, this paper solves it by splitting the overhang region into a set of subregions, and determining the path direction (vertical or horizontal) in each subregion using GA. For the second subproblem, a hybrid of two metaheuristic algorithms is proposed: the GP manipulates the topologies of the tree support, while the PSO optimizes the position of nodes and the diameter of tree branches. In particular, each chromosome is encoded as a single virtual tree for GP to make it easy to manipulate Crossover and Mutation. Furthermore, a local strategy of geometric search is designed to help the hybrid algorithm reach a better result.

Simulation results show that the proposed method is preferred over the existing method: it saves the materials of the two-level support up to 26.34%, the materials of the Level 1 support up to 6.62% and the materials of the Level 2 support up to 37.93%. The proposed local strategy of geometric search can further improve the hybrid algorithm, saving up to 17.88% of Level 2 support materials.

The proposed approach for sliming Level 1 support requires the overhanging region to be a rectilinear polygon and the path direction in a subregion to be vertical or horizontal. This limitation limits the further material savings of the Level 1 support. In future research, the proposed approach can be extended to handle an arbitrary overhang region, each with several choices of path directions.

The details of how to integrate the proposed algorithm into the open-source program CuraEngine 4.13.0 is presented. This is helpful for the designers and manufacturers to practice on their own 3D printers.

The path planning of the overhang is a critical factor influencing the distribution of supporting points and will thus influence the shape of the support structure. Different from existing approaches that use single path directions, the proposed method optimizes the volume of the support structure by planning hybrid paths of the overhangs.

This study aims to examine the motivations and supports of stakeholders in the slum communities, Ghana.

Two-stage methodologies were used for data collection. Published Google News articles about the phenomenon as well as exploratory qualitative in-depth interviews with 15 participants.

The evidence shows that structured and unstructured are the two main categories of stakeholders operating in the space of slums in Ghana. It shows that stakeholders are motivated by their objectives and ethical or moral obligations to provide support in the form of consumables, housing and finance to the slums.

Because of the data collection regime used in this project, findings are specific to the Ghanaian context and not generalisable. However, the results could be beneficial in other contexts with similar slum phenomena.

The conclusions drawn serve as a springboard for urban managers responsible for slum administration and management to develop policy packages to incentivise and enlist more non-slum stakeholders in the existing stakeholders.

To the best of the authors’ knowledge, this study is one of the few that expands the frontiers of the stakeholder model within context to discover specific slum stakeholders, their motivations and support for the slums in a consolidated manner.

The lightweight design of aircraft seats can significantly improve fuel efficiency and reduce greenhouse gas emissions. Metal additive manufacturing (MAM) can produce lightweight topology-optimized designs with improved performance, but limited build volume restricts the printing of large components. The purpose of this paper is to design a lightweight aircraft seat leg structure using topology optimization (TO) and MAM with build volume restrictions, while satisfying structural airworthiness certification requirements.

TO was used to determine a lightweight conceptual design for the seat leg structure. The conceptual design was decomposed to meet the machine build volume, a detailed CAD assembly was designed and print orientation was selected for each component. Static and dynamic verification was performed, the design was updated to meet the structural requirements and a prototype was manufactured.

The final topology-optimized seat leg structure was decomposed into three parts, yielding a 57% reduction in the number of parts compared to a reference design. In addition, the design achieved an 8.5% mass reduction while satisfying structural requirements for airworthiness certification.

To the best of the authors’ knowledge, this study is the first paper to design an aircraft seat leg structure manufactured with MAM using a rigorous TO approach. The resultant design reduces mass and part count compared to a reference design and is verified with respect to real-world aircraft certification requirements.

The purpose is to explore the free vibration behaviour of elastic foundation-supported porous functionally graded nanoplates using the Rayleigh-Ritz approach. The goal of this study is to gain a better knowledge of the dynamic response of nanoscale structures made of functionally graded materials and porous features. The Rayleigh-Ritz approach is used in this study to generate realistic mathematical models that take elastic foundation support into account. This research can contribute to the design and optimization of advanced nanomaterials with potential applications in engineering and technology by providing insights into the influence of material composition, porosity and foundation support on the vibrational properties of nanoplates.

A systematic methodology is proposed to evaluate the free vibration characteristics of elastic foundation-supported porous functionally graded nanoplates using the Rayleigh-Ritz approach. The study began by developing the mathematical model, adding material properties and establishing governing equations using the Rayleigh-Ritz approach. Numerical approaches to solve the problem are used, using finite element methods. The results are compared to current solutions or experimental data to validate the process. The results are also analysed, keeping the influence of factors on vibration characteristics in mind. The findings are summarized and avenues for future research are suggested, ensuring a robust investigation within the constraints.

The Rayleigh-Ritz technique is used to investigate the free vibration properties of elastic foundation-supported porous functionally graded nanoplates. The findings show that differences in material composition, porosity and foundation support have a significant impact on the vibrational behaviour of nanoplates. The Rayleigh-Ritz approach is good at modelling and predicting these properties. Furthermore, the study emphasizes the possibility of customizing nanoplate qualities to optimize certain vibrational responses, providing useful insights for engineering applications. These findings expand understanding of dynamic behaviours in nanoscale structures, making it easier to build innovative materials with specific features for a wide range of industrial applications.

The novel aspect of this research is the incorporation of elastic foundation support, porous structures and functionally graded materials into the setting of nanoplate free vibrations, utilizing the Rayleigh-Ritz technique. Few research have looked into this complex combo. By tackling complicated interactions, the research pushes boundaries, providing a unique insight into the dynamic behaviour of nanoscale objects. This novel approach allows for a better understanding of the interconnected effects of material composition, porosity and foundation support on free vibrations, paving the way for the development of tailored nanomaterials with specific vibrational properties for advanced engineering and technology applications.

The career is a space where family and work lives amalgamate. The role of work for the individual, and the meaning of work within the culture, will determine the relevance of family. This study investigates CEOs' perception about conjugal family influence on career decisions, and it examines family factors.

Through a qualitative study, 22 Latin American CEOs who work for multinational firms were interviewed in a semi-structured way.

Not all career decisions were influenced by conjugal family. CEOs varied in the extent to which they considered their families when reflecting on their career decisions. Expatriation, joining or quitting an organization and change of area of work were found as those decisions perceived to be influenced by conjugal family. Family support, family structure and family demands and responsibilities were identified as the family factors involved. In spite of the role salience, family factors influenced some of CEOs' career decisions, in part, due to the cultural characteristics of the Latin American environment. The instrumental support of the extended family, as part of collectivist societies, was also evidenced.

A better understanding of the family influenced decisions and family factors involved may enhance individual career decision-making as well as organizational career management processes and public initiatives.

This study contributes to family and career literature, being the first one to explore the conjugal family influence upon CEOs' career decisions.

Deaf people, who are British Sign Language (BSL) users, are, at times, carers for their parent or spouse when they have dementia. This can be a challenging role for the wider population, but if the common language in service provision is not one you share, then this care can be impacted by the lack of formal structures that support the Deaf caring role. This study aims to explore the experiences of Deaf carers supporting people with dementia, in an unpaid role, during the COVID-19 pandemic to understand more about their potential support preferences.

Online interviews with seven Deaf carers sharing their experiences of supporting their family member with dementia happened during the first year of the COVID-19 pandemic. Interpretive phenomenological analysis was used to qualitatively examine each Deaf carers’ stories.

Findings included Deaf carers’ lack of access to information, surrendering their autonomy to hearing family members to communicate with health-care professionals, with overarching isolation within local communities and online. Findings show a widespread infrastructural failure to meet the linguistic and specific support needs of this minority population.

Seven Deaf carers took part in this study. This means the findings may not be generalisable.

Health-care professionals and social care structures need to develop robust clear communication pathways for Deaf carers to receive the support needed to provide effective care.

If health-care professionals undertake training about Deaf people and BSL, that will mean Deaf carers will receive effective support to be able to care for a person living with dementia. This means that their Deaf identity will be recognised within the mainstream and the care provided will be much more effective for the person with dementia.

To the best of the authors’ knowledge, these are the first interviews undertaken with Deaf carers of people with dementia during the COVID-19 pandemic and its subsequent lockdowns. Understanding everyday barriers and social care limitations in terms of language access will enable Deaf carers to assert their rights and for care professionals to adapt their communication to match the individuals involved in the care package.

This study provides an analysis of professional development school (PDS) dissertation research that focuses on learning in PDSs. These 103 dissertations written between 1990 and 2020 address an aspect of learning in PDS work, including inquiry as a pedagogical learning tool, student learning PK-12, intern/teacher candidate learning, university teacher educator learning, and inservice teacher learning. From the current exploration of PDS dissertations, most especially from the comparison studies, the authors have learned that there is still no clear path to presenting PDS as having a positive impact when compared with non-PDS experiences..

Within each of these categories, the authors examine the dissertations by methodology and explore common themes among dissertation findings. As the PDS movement enters its third decade of inquiry and builds its efficacy on models of learning, the findings provide insight into the degree to which PDS scholars are building on the past to determine future PDS research agendas around learning.

The authors examine the dissertations by methodology and explore common themes among dissertation findings. The themes included: intern learning does happen in PDS sites; PDSs provide structures for intern learning; teacher educators can learn from their PDS work; dissertations in the area of student learning overwhelmingly had inconclusive findings, except for research that focused on targeted interventions, which demonstrated student gains.

With fewer PDS-focused dissertations being written in more recent years, the authors wonder if the complexity of PDS may be a deterrent to the growth and sustainability of this model?

From the current exploration of PDS dissertations, most especially from the comparison studies, the authors have learned that the authors still do not have a clear path to presenting PDS as having a positive impact when compared with non-PDS experiences. However, the authors are beginning to understand the types of studies that are needed to move this agenda forward and hope the work will help inform the PDS community of some.

This is the first known study of PDS dissertations across time.

To research involvement of healthcare staff in the UK and identify practical organisational and policy solutions to improve and boost capacity of the existing workforce to conduct research.

A mixed-method study presenting three work packages here: secondary analysis of levels of staff research activity, funding, academic outputs and workforce among healthcare organisations in the United Kingdom; 39 Research and Development lead and funder interviews; an online survey of 11 healthcare organisations across the UK, with 1,016 responses from healthcare staff included for analysis; and 51 interviews of healthcare staff in different roles from six UK healthcare organisations.

Interest in research involvement is strong and widespread but hampered by a lack of systematic organisational support despite national policies and strategies to increase staff engagement in research. While useful, these external strategies have limited universal success due to lack of organisational support. Healthcare organisations should embed research within organisational and human resources policies and increase the visibility of research through strategic organisational goals and governance processes. A systems-based approach is needed.

The research gathered data from a limited number of NHS trusts but these were purposively sampled to provide a range of different acute/community health service organisations in different areas. But data was therefore more detailed and nuanced due to a more in-depth approach.

The findings are relevant for developing policies and practice within healthcare organisations to support research engagement. The findings also set out key policy and strategic recommendations that will support greater research engagement.

Increased research activity and engagement in healthcare providers improves healthcare outcomes for patients.

This is a large scale (UK-wide) study involving a broad range of healthcare staff, with good engagement of nurses, midwives and Allied Healthcare Professionals who have not been previously achieved. This allowed valuable analysis of under-researched groups and comparisons by professional groups. The findings highlight the need for tailored action to embed research reporting, skills, professional development and infrastructure into organisational policies, strategies and systems, along with broader system-wide development.