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The purpose of this study is to reduce the semantic distance by proposing a model for integrating indexes of textual and visual features via a multi-modality ontology and the use of DBpedia to improve the comprehensiveness of the ontology to enhance semantic retrieval.

A multi-modality ontology-based approach was developed to integrate high-level concepts and low-level features, as well as integrate the ontology base with DBpedia to enrich the knowledge resource. A complete ontology model was also developed to represent the domain of sport news, with image caption keywords and image features. Precision and recall were used as metrics to evaluate the effectiveness of the multi-modality approach, and the outputs were compared with those obtained using a single-modality approach (i.e. textual ontology and visual ontology).

The results based on ten queries show a superior performance of the multi-modality ontology-based IMR system integrated with DBpedia in retrieving correct images in accordance with user queries. The system achieved 100 per cent precision for six of the queries and greater than 80 per cent precision for the other four queries. The text-based system only achieved 100 per cent precision for one query; all other queries yielded precision rates less than 0.500.

This study only focused on BBC Sport News collection in the year 2009.

The paper includes implications for the development of ontology-based retrieval on image collection.

This study demonstrates the strength of using a multi-modality ontology integrated with DBpedia for image retrieval to overcome the deficiencies of text-based and ontology-based systems. The result validates semantic text-based with multi-modality ontology and DBpedia as a useful model to reduce the semantic distance.

The aim of this paper is to describe and detail a new workforce initiative developed by a third sector organisation: the Multi-Modality Practitioner (MMP) approach, in the provision of support for individuals and families presenting in the community with multiple and varied needs.

This paper presents a case study on a third sector organisation’s pioneering workforce initiative – the MMP approach.

The MMP approach has been developed as an alternative to existing approaches designed to address “single issues”, providing those working in the fields of health and social care and beyond, with a range of technically eclectic interventions from different modalities and approaches, to enable them to appropriately meet the needs of individuals and families presenting with multiple needs.

This case study is limited to providing a rationale for the development of the MMP approach and a description. It does not include any formal analysis as a future evaluative paper will report on an independent theory-based examination of the MMP approach via Theory of Change and Contribution Analysis methodologies.

This case study describes the innovative role that the MMP approach as a workforce innovation plays in meeting multiple needs in the community when deployed as either a stand-alone approach, or one that can be integrated with existing community-based services including, but not limited to, mental health, employability, addiction, housing, homelessness, public health and child and family services.

The MMP approach constitutes a disruptive, pionneering, client-centred, workplace innovation that is trauma-informed, relational, strengths-based and continuity of care focused, capable of supporting individuals and families with multiple needs, negating onward referral and with potential to reduce demand on public services. It also provides those working in a range of health and social care roles with the opportunity to expand their therapeutic repertoire through high-quality, multi-skilled training in evidence-based and societally important, technically eclectic interventions drawn from a range of modalities.

Pluralistic practice and multimodal theories have been in existence for over two decades, the MMP approach however, whilst sharing some of these concepts and philosophies, differs in that it provides those trained in the approach with a ‘toolkit’ of interventions that are technically eclectic, drawn from a range of modalities and approaches and aimed at meeting multiple needs in a pragmatic and accessible manner. Furthermore, the Diploma in Multi-Modality Practice is the first training course of its kind available at postgraduate level.

Crude oil separation is an important process in the oil industry. To make efficient use of the separators, it is important to know their internal behaviour, and to measure the levels of multi‐interfaces between different materials, such as gas‐foam, foam‐oil, oil‐emulsion, emulsion‐water and water‐solids. To develop a multi‐interface level sensor.

Multi‐modality sensor with segmented capacitance and electromagnetic sensing elements. Some key issues are addressed, including the effect of salt content in water on measurement.

Working with gas/oil/saline water, the simulation and experimental results show that the newly designed sensor is promising.

First time to present this multi‐modality sensor, which can cope with current problems with saline water.

The purpose of this paper is to explore how corporate heritage identity (CHI) implementation strategies are communicated by Grundfos, a 70-year-old global company from Denmark, in their internal history references.

Drawing on an interdisciplinary methodological framework related to heritage identity communication, hypertextuality, and multi-modality, it proposes a multi-leveled analysis model through which communicative strategies are explored at the level of four semiotic modes (written text, speech, still image, and moving image) and at the level of their hypermodal interplay.

This exploratory case study explains how CHI implementation strategies are communicated in accordance with the potential and constraints of semiotic modes and hyperlinking affordances. The analytical work suggests that the management employs complex CHI implementation strategies in order to strengthen organizational identity and to influence employees’ identification with the company across past, present, and future.

By examining the semiotic modes’ interconnectivity and functional differentiation in a hypermodal context, this paper expands existing research by extending the multi-modal focus to a hypertextual one.

By exploring CHI implementation strategies from a hypermodal perspective and by providing a replicable model of hypermodal analysis, this paper fills a gap in the heritage identity research. Furthermore, it can also be of value to practitioners who intend to design company webpages that strategically communicate heritage identity implementation strategies in order to engage the employees in the company’s heritage.

Despite the prevalence of technology in health care, marketing research on social media in the birthspace is limited. The purpose of this paper is to explore how birthing women leverage social media for transformative well-being in the liminal context of birth.

A qualitative study of women who had recently experienced birth was undertaken. Thematic analysis of data from in-depth interviews reveals birthing women’s digital practices and social media capabilities for well-being in a liminal space.

Within the birthspace, women use social media and digital platforms in an effortful and goal-directed way for role transitions and transformation, curating self and other history, goal striving and normalizing experience. These digital practice styles facilitate consumer integration of the liminal digital birthspace and in situ service encounter enabling diverse value outcomes. Drawing on liminality and social presence theories, the authors interpret these practices as demonstrating three interactive liminal stages of suspending, comprehending and transforming. Multi-modality and rapid connection afforded by digital devices and social media platforms provide social presence (according to perceived immediacy and intimacy) enabling transformative well-being outcomes.

This study is unique, as it provides insights into the traditionally private health service experience of birth. Further, the authors extend the understanding of liminal spaces and use of digital technology, specifically for transformative outcomes, by proposing a framework of consumers’ digital practice styles for well-being in liminal spaces.

This paper aims to further improve the efficiency of multi-objective optimization design of synchronous reluctance motors (SynRMs) using the level set (LS) method, which has the advantage of obtaining a practical shape. The solutions obtained by gradient methods tend to be local ones due to the multi-modality of the objective function, especially when multiple objective functions. A huge number of trial calculations are required to obtain a high-quality and broadly distributed Pareto front. Therefore, it is indispensable to effectively get out of the local solutions in the optimization process with the LS method.

The authors propose a novel method appropriately switching multiple objective functions with high independence of sensitivity information. The authors adopt highly independent mathematical expressions for the objective functions of the average torque and torque ripple. In addition, the authors repeatedly perform the optimization while appropriately selecting the sensitivity information of one objective function from multiple ones, which enables the authors to effectively break out of local solutions in the optimization process.

The proposed method was applied to the shape optimization of SynRM flux barriers and successfully searched a more extensive and advanced Pareto front in comparison with the conventional method.

The proposed method adopts search spaces with mathematical high independence for average torque and torque ripple. In the optimization process, when the solution search is judged to get stuck by several criteria, the search space is alternately switched to effectively get out of local solutions.

This chapter focuses on the impact of digitization on the conception, development and examination of the doctoral thesis in the contemporary university.

The approach taken is that of reflective inquiry. The author has taken a lead role in the editing of two handbooks for Sage: one on e-learning research and the other on the digital dissertation/thesis, and this chapter reflects on the changes taking place in higher education as a result of digitization. A number of examples are used to illustrate the possibilities afforded by digitization not only at doctoral levels but also in all dissertations.

It is proposed that digitization affects not only the conception and direction of doctoral research for the student but it has implications also for supervisors, those who ‘upgrade’ work from MPhil to PhD levels and also for examiners and librarians. Changes in the format of the presentation of the digital thesis allow moving image and sound, as well as still images, to be incorporated into the main body of the text rather than be relegated to an appendix (e.g. in a CD-Rom). The storage of the completed thesis in digital form, via a number of different repositories, allows for greater access and use.

One of the major implications of the digital thesis is that all universities must regularly re-visit their regulations to ensure that the parameters for doctoral research are clear, and that they are appropriate for the kind of research that is undertaken by students. Many universities are now making a digital copy of the thesis for principal submission, with print copies as optional.

Consideration of the implications of the digital thesis for students and universities is essential not only in terms of knowledge creation but also in terms of validation of such knowledge and its dissemination and use.

This chapter presents a discussion of innovations in pedagogic approaches for high-achieving, pre-degree pathway program students at the University of Edinburgh, Scotland.

The question under discussion in the academic language classroom is the extent to which dynamic cohorts of multi-lingual, multi-cultural and multi-disciplinary students are being enabled to fulfill individual learning goals as well as the institution’s expectations of pathway learners and academic language users. Wingate (2015) argues that in the absence of an epistemological and socioculturally embedded literacy instruction, students are not equitably prepared for success in the discipline or the wider institution. The chapter reviews critiques of English for Academic Purposes (EAP) and Academic Literacies by addressing “the best of both worlds” (Wingate & Tribble, 2012, p. 492) approach.

The chapter continues with a case study into the Academic Vocabulary in Literacy strand of the Foundation EAP course on the International Foundation Programme at Edinburgh University. There then follows close analysis of innovation by course designers to adapt the “best of both traditions” model (Wingate & Tribble, 2014, p. 2) into an integrated academic language and literacy approach. It is posited that this approach could enable attempts at transition for high-achieving foundation students by experiencing language in dynamic and multi-modal genres.

In past years, the global supply chain has witnessed devastating effects of coronavirus (COVID-19) disease. However, the COVID-19 pandemic has renewed the interest of the Sustainable Supply Chain (SSC) stakeholders on sustainability. The stakeholders are now rethinking their business processes and strategy to make them sustainable. In this context, the relevant literature is required to support emerging markets to formulate sustainability-focussed strategies. The purpose of this study is to provide a comprehensive analysis of potential antecedents that leads towards sustainable development of freight transportation in emerging markets.

Initially, the antecedents of the Sustainable Freight Transport (SFT) system are derived from the literature survey followed by verification from the experts. Then, the potential antecedents are categorized under four (social, organizational, operational and environmental) broad categories. Afterwards, a Neutrosophic Analytic Network Process (N-ANP) method is employed to obtain the priority weights of the identified potential antecedents.

The paper identified and ranked 17 antecedents of the SFT system. According to the study’s findings, the top three antecedents of SFT are “the presence of a multimodal transportation system,” “circularity in SFT” and “traffic congestion management”. The results from the study advocate the promotion of existing multi-modal transport facilities which is promising to achieve sustainability. The results suggested the adoption of the digital twin to manage the transport operations.

This study sheds light on how to achieve sustainability in the freight transportation system post-COVID era highlighting the potential antecedents. The study’s findings will assist practitioners in developing SFT strategies in the face of such pandemics in future.

This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.

The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.

The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.

The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.

Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.

The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.