Interactive Toolkit Research Articles

A dynamic platform for global pullorum disease and fowl typhoid

Pullorum disease and fowl typhoid are caused by the Salmonella serovars Gallinarum biovars Pullorum and Gallinarum, respectively. The prevalence of these diseases varies across regions and is affected by different risk factors that remain insufficiently documented. To fill this knowledge gap, we have compiled a global dataset for its prevalence, drawing upon a collection of literature from the last seven decades obtained from bilingual databases. However, a more interactive and dynamic platform is still needed for both academics and policymakers to improve biosecurity measures, limit disease transmission, and prevent future outbreaks at the global and local levels. Here, we developed an advanced visualization platform to depict the prevalence of Salmonella Pullorum and Gallinarum, especially in China, which is categorized by geographical region and temporal span. The platform offers a user-friendly, efficient, and visually engaging tool to explore the prevalence of pullorum disease and fowl typhoid between 1945 and 2021 in different regions. Additionally, this platform allows users to understand the influence of various factors, such as breed, farm mode, economic usage and even the sex of the primary host, chickens, on the prevalence of this disease. We further provided a detailed overview of individual province within China. In particular, by selecting two different provinces on the interface, users can quickly visualize and grasp the disparities in disease prevalence between the chosen regions. This interactive toolkit enables a dynamic exploration of the patterns and factors contributing to the prevalence of Salmonella Pullorum and Gallinarum. This interactive platform is freely available open source at http://139.9.85.208/.

SEER: An End-to-End Toolkit for Benchmarking Time Series Database Systems in Monitoring Applications

Time series database systems (TSDBs) are prevalent in many applications ranging from monitoring and IoT devices to scientific research. Those systems are specifically designed to efficiently manage data indexed by time. Because of the variety of workloads, the diversity of time series features, and the sophistication of existing TSDBs, there is no clear way to pick the most suitable system. In this demo, we introduce SEER, an automated, configurable, and interactive toolkit to evaluate TSDBs. SEER is based on TSM-Bench, a benchmark tailored for time series database systems used in monitoring applications. It implements an end-to-end pipeline for database benchmarking from data generation and feature contamination to workload evaluation. Users can define their portfolios by configuring and parameterizing custom queries, specifying their frequencies, controlling the type and level of data features, and indicating the type of workloads. Moreover, they can deploy new systems and/or reconfigure the pre-installed ones. SEER would process users' requests and gracefully recommend the best system on a use-case basis.

CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets

BackgroundShotgun metagenomics for microbial community survey recovers enormous amount of information for microbial genomes that include their abundances, taxonomic, and phylogenetic information, as well as their genomic makeup, the latter of which then helps retrieve their function based on annotated gene products, mRNA, protein, and metabolites. Within the context of a specific hypothesis, additional modalities are often included, to give host-microbiome interaction. For example, in human-associated microbiome projects, it has become increasingly common to include host immunology through flow cytometry. Whilst there are plenty of software approaches available, some that utilize marker-based and assembly-based approaches, for downstream statistical analyses, there is still a dearth of statistical tools that help consolidate all such information in a single platform. By virtue of stringent computational requirements, the statistical workflow is often passive with limited visual exploration.ResultsIn this study, we have developed a Java-based statistical framework (https://github.com/KociOrges/cviewer) to explore shotgun metagenomics data, which integrates seamlessly with conventional pipelines and offers exploratory as well as hypothesis-driven analyses. The end product is a highly interactive toolkit with a multiple document interface, which makes it easier for a person without specialized knowledge to perform analysis of multiomics datasets and unravel biologically relevant patterns. We have designed algorithms based on frequently used numerical ecology and machine learning principles, with value-driven from integrated omics tools which not only find correlations amongst different datasets but also provide discrimination based on case–control relationships.ConclusionsCViewer was used to analyse two distinct metagenomic datasets with varying complexities. These include a dietary intervention study to understand Crohn’s disease changes during a dietary treatment to include remission, as well as a gut microbiome profile for an obesity dataset comparing subjects who suffer from obesity of different aetiologies and against controls who were lean. Complete analyses of both studies in CViewer then provide very powerful mechanistic insights that corroborate with the published literature and demonstrate its full potential.EDLr-6-tH-9CdVCxoa6z_8Video

Factors Affecting Adherence in Allergic Disorders and Strategies for Improvement

Addressing patient adherence is a key element in ensuring positive health outcomes and improving health-related quality of life for patients with atopic and immunologic disorders. Understanding the complex etiologies of patient nonadherence and identifying real-world solutions is important for clinicians, patients, and systems to design and effect change. This review serves as an important resource for defining key issues related to patient nonadherence and outlines solutions, resources, knowledge gaps, and advocacy areas across five domains: health care access, financial considerations, socioenvironmental factors, health literacy, and psychosocial factors. To allow for more easily digestible and usable content, we describe solutions based on three macrolevels of focus: patient, clinician, and system. This review and interactive tool kit serve as an educational resource and call to action to improve equitable distribution of resources, institutional policies, patient-centered care, and practice guidelines for improving health outcomes for all patients with atopic and immunologic disorders.

Measures affecting driving safety and experience in the era of semi-autonomous driving: In-vehicle interaction design toolkit

Semi-autonomous driving technology has rapidly advanced, enhancing driver convenience and comfort. However, ensuring driving safety remains a critical challenge for autonomous vehicle development. Moreover, drivers’ expectations for driving experience are also increasing. This paper develops a design toolkit to help evaluate the in-vehicle interaction methods in terms of both driving safety and driving experience dimensions. We first conducted user interviews to identify 19 interaction methods. Then, an online questionnaire was conducted to assess the reliability and usability of these 19 interaction methods. Based on the results, we propose two interaction toolkits for semi-autonomous driving, the Usability Interaction Toolkit and the Reliability Interaction Toolkit, which are referred to as the IVI (In-Vehicle Interaction) toolkit. The proposed IVI Toolkit serves as a reference for customized safety maps in this evolving field. Meanwhile, it can be drawn upon to compare and evaluate the reliability and usability of the new interaction methods.

DIProT: A deep learning based interactive toolkit for efficient and effective Protein design

The protein inverse folding problem, designing amino acid sequences that fold into desired protein structures, is a critical challenge in biological sciences. Despite numerous data-driven and knowledge-driven methods, there remains a need for a user-friendly toolkit that effectively integrates these approaches for in-silico protein design. In this paper, we present DIProT, an interactive protein design toolkit. DIProT leverages a non-autoregressive deep generative model to solve the inverse folding problem, combined with a protein structure prediction model. This integration allows users to incorporate prior knowledge into the design process, evaluate designs in silico, and form a virtual design loop with human feedback. Our inverse folding model demonstrates competitive performance in terms of effectiveness and efficiency on TS50 and CATH4.2 datasets, with promising sequence recovery and inference time. Case studies further illustrate how DIProT can facilitate user-guided protein design.

VIRTUAL REALITY (VR) ASSISTED GEOMATICS LAB DEVELOPMENT

Abstract. Virtual Reality (VR) lab components provide the opportunity to explore the efficacy of this technology on Geomatics education and lay the groundwork for the VR as an emerging education paradigm. Geomatics education at UF has been innovatively optimized towards a hybrid education system, with most of the curriculum taught using distance communication. Nevertheless, Geomatics teaching still involves intensive indoor and outdoor lab components. VR labs enable learning and practicing lab techniques as an alternative or supplement to live lab activities. These technically and physically demanding activities require intensive training on expensive lab equipment. The labs often go beyond allocated lab time and are susceptible to bad weather conditions. Using VR technology provides an integrated learning experience that mixes instructions with simulated physical activities, eliminating many limitations associated with lab instruction. In this study, we demonstrate the development of the total station device centring and levelling lab activity using the Meta Quest 2 Headset on the Unity Software Development Platform, as well as Unity’s XR Interaction Toolkit. Development challenges related to different setup components (e.g., bubble-level setup, effective gravity for editing tripod placement, component intractability) are presented. Among multiple challenges of using Unity for the development of an educational VR application, adjusting the functions of the XR Toolkit in order to get the desired outcomes stands as one of the largest difficulties. Unity’s physics is not intuitive for the intended purposes of this project, so multiple technical workarounds were required including the use of Unity’s UI (User Interface) features.

Prognosis of Performing Split-Rib Bone Graft for Cranial Bone Defects.

Frontal sinus anterior wall defects occur because of various diseases, causing not only aesthetic problems, such as forehead bulging and upper eyelid ptosis, but also exerting physical pressure on the brain or optic nerve. Therefore, this study aimed to evaluate the prognosis of performing split-rib bone graft for frontal sinus anterior wall defects. This study included 30 patients who received a split-rib bone graft for a frontal sinus anterior wall defect. The sizes and volumes of the defects and grafts were measured using three-dimensional computed tomography before, after, and every 6 months for 2 years after the surgery. The Medical Imaging Interaction Toolkit was used for analysis. The average size and volume of the grafts were 27.29 cm 2 and 5.88 cm 3 , whereas they were 23.76 cm 2 and 4.80 cm 3 at 24 months after surgery, respectively. In a graft size and volume of less than 27 cm 2 and 6 cm 3 , respectively, the rate of graft take was greater than 80% during long-term observation. The younger the age, the higher the rate of graft take. No difference was found in the defect causes. Absorption occurred for up to 18 months. Frontal bone defect reconstruction revealed the stable results of the split-rib bone graft over a long period when the size and volume were less than 27 cm 2 and 6 cm 3 , respectively. Furthermore, bone resorption was seen in more than 20% to 30% of the patients, and the rate of resorption increased with age; thus, it is appropriate to consider overcorrection and other reconstruction methods. Therapeutic, IV.

Diffusion kurtosis imaging and MRI-detected extramural venous invasion in rectal cancer: correlation with clinicopathological prognostic factors.

To investigate the prognostic value of the diffusion kurtosis imaging (DKI)-derived parameters D value, K value, diffusion-weighted imaging (DWI) parameter apparent diffusion coefficient (ADC) value, and magnetic resonance imaging (MRI)-detected extramural venous invasion (EMVI) (mrEMVI) in rectal cancer patients. Forty patients who underwent MRI for rectal cancer were retrospectively evaluated. DKI-derived parameters D and K were measured using the Medical Imaging Interaction Toolkit. Conventional ADC values were measured from the corresponding DWI images. An experienced radiologist evaluated the mrEMVI status on MR images using the mrEMVI scoring system. An independent sample t-test or analysis of variance was used to analyze and compare the measurement data. The x2 test or Fisher exact test was used for categorical variables. Receiver operating characteristic curves were used to assess the diagnostic performance of these parameters. Among the 40 patients, MRI showed positive EMVI in 15 patients and negative EMVI in 25 patients. Positive mrEMVI status was associated with age, positive circumferential resection margin, pT-stage, lymphovascular invasion (LVI), distant metastasis, and serum carcinoembryonic antigen (CEA) level (P = 0.004-0.036). The dispersion coefficient (D) values and ADC values were significantly higher in the mucinous adenocarcinoma (MC) group than in the common adenocarcinoma (AC) group (P = 0.001), while kurtosis coefficient (K) values were lower in the MC group than in the AC group (P = 0.022). D values were significantly higher in the KRAS-mutated group than in the wild-type group (P < 0.05), whereas K values were lower in the KRAS-mutated group than in the wild-type group (P < 0.05). All three parameters (D, K, and ADC values) showed good diagnostic performance for discriminating MC from AC. Both the D and K values showed certain diagnostic performance for discriminating KRAS mutation. DKI-derived parameters, conventional ADC values, and mrEMVI are associated with different histopathological prognostic factors. All DKI-derived parameters and conventional ADC values may distinguish MC from AC. DKI-derived parameters may also be used to discriminate KRAS mutation.

Enhancing the degree apprenticeship curriculum through work-based manager and mentor intervention

PurposeEducational policy instruments such as apprenticeship levy and forthcoming lifetime skills guarantee are creating unprecedented opportunities for rapid growth in a range of work-based learning (WBL) programmes, requiring increasingly complex levels of collaboration between providers and employers. Apprenticeships require providers to assume responsibility in ensuring apprentices’ work-based managers and mentors (WBMMs) are equipped to provide effective support to individuals as they learn ‘on the job’. After six years of higher education institution (HEI) apprenticeship curriculum delivery, there is opportunity to examine existing WBMM practice to inform the design, content and delivery of a shared knowledge base via a practical interactive toolkit. By developing clearer understanding of WBMMs’ experiences, expectations and challenges, the study aims to reduce potential gaps in knowledge and skills and encourage more effective collaboration between employers and providers to better support apprentices as they progress through WBL programmes.Design/methodology/approachThis paper discusses evolution of higher level and degree apprenticeships, explores guidance for WBMMs and investigates the influence of expectations and motivations of WBMMS. Theoretical and conceptual foundations relating to WBL programme delivery and WBMM role are analysed and discussed. Qualitative data drawn from semi-structured surveys are analysed thematically to investigate common patterns, clarify understanding and identify development areas to inform future university provider and employer practice.FindingsThe findings suggest a number of themes to improve apprentice management; further clarity of WBMMs role, greater involvement of WBMM’s for negotiated learning, unplanned experiences do add value and scope for richer mentoring dialogues. WBL value for WBMMs is broader than expected, incorporating apprentice performance and output improvements, and solving complex problems.Research limitations/implicationsThe research is drawn from an established university with five years of experience. However, the context in which programmes are delivered significantly varies according to providers and employers. This means factors other than those highlighted in this paper may continue to emerge as the research in this field develops.Practical implicationsThe practical implications from findings can be used to cultivate stronger collaboration, providing a foundation of knowledge intended to provoke further dialogue regarding content for an interactive toolkit. The findings signal the need for further resources, a review of the restrictions associated with levy funding for co-creation of a more effective national apprenticeship framework.Originality/valueThis paper builds on a limited body of research examining employers’ perspectives of apprenticeship management. Degree apprenticeships have attracted limited scholarly attention over six years since their inception (Bowman, 2022) resulting in a significant paucity of research that focuses upon employer role. This study addresses this void by exploring WBMMs experiences, requirements and expectations, revealing new insights for providers of WBL, employers and individuals employed as WBMMs.

Three-Dimensional Reconstruction of Pelvicalyceal System of the Kidney Based on Native CT Images Are 1-Step Away from the Use of Contrast Agent.

To describe special algorithm for the semi-autonomous 3-dimensional reconstruction of the pelvicalyceal system based on native computed tomography images of patients with upper urinary tract obstruction. Fifty patients with renal colic fitting to inclusion criteria were enrolled. All patients underwent computed tomography urography to perform 3-dimensional reconstruction of the pelvicalyceal system on the affected size based on excretory phase representing "gold standard" and on native phase, which was performed via Medical Imaging Interaction Toolkit program updated with the described algorithm. Five urologists estimated their similarities and the potential use of non-contrast models for interventional planning. Contralateral non-distended pelvicalyceal system was reconstructed to evaluate the viability of the proposed technology in such cases. Surface areas of contrast and non-contrast models were compared. Distended pelvicalyceal system of 1 patient was used to reconstruct virtual endoscopic view. Obtained 3-dimensional noncontrast pelvicalyceal system models were analyzed by an engineer for suitability for 3-dimensional printing. The average surface area of contrast and non-contrast models was 3513 and 3371 mm2 , respectively (P=.0818). Non-contrast 3-dimensional reconstruction was possible with all distended pelvicalyceal systems and with 9 non-distended cases. Properties of non-contrast models were estimated as 4.3 out of 5. Obtained models were suitable for their intraluminal reconstruction and potential 3-dimensional printing. Described semi-autonomous approach allows for 3-dimensional reconstruction of dilated pelvicalyceal system based on non-contrast computed tomography images.

Evaluating a Structured Online Peer Evaluation System Among Graduate-Level Communication Capstone Students Through Action Research

Although enrollment in online courses continues to accelerate, challenges exist in online learning. A failure to experience collaboration and interaction can impact student retention and success. While peer review activity promotes student interaction, a collaborative community of learners, and critical thinking skills, higher education environments have failed to equip students with the knowledge and tools to ensure adept participation. As students offered limited participation and low-quality engagement in routine online peer review activities, the purpose of this action research was to implement and evaluate the impact of a structured online peer evaluation system for Graduate Communication Capstone students at the University of North Coast Muscari (UNCM). This study incorporated a structured peer evaluation system, including an interactive educational technology peer review tool kit innovation. The theoretical framework of the innovation was aligned to learning theory and grounded in Vygotsky’s zone of proximal development, cognitive and mind tools, and Constructivist theory of cognitive apprenticeship. Data collection offered seven methods and data analysis included quantitative and qualitative approaches as part of a triangulation mixed methods design. Community of Inquiry (CoI) deductive analysis was performed to denote social and cognitive presences, while further validating the themes that had emerged through qualitative data analysis. As an impact of this research study, students used the structured peer evaluation system to transform anxiety into social and cognitive freedom, producing a focused, responsible approach to peer learning.

Process for the Implementation of Evidence-Based Parenteral Nutrition in German Perinatal Centres - Outcomes of a Multidisciplinary Network

ZusammenfassungEinleitung Die parenterale Ernährung (PE) ist gewöhnlich bei Frühgeborenen<1500 g Geburtsgewicht und kranken Neugeborenen indiziert und gewährleistet eine Versorgung mit essentiellen Nährstoffen. Da ein hohes Maß Therapiesicherheit erforderlich ist, gibt die europäische Leitlinie Empfehlungen zur sicheren Anwendung. Dieses Projekt zielte darauf ab, die Anwendung der europäischen Leitlinie in deutschen Perinatalzentren zu evaluieren und Barrieren, die die Umsetzung erschweren oder verhindern, abzubilden. Zusätzlich sollten Lösungsansätze zur Überwindung möglicher Barrieren erarbeitet werden. Methodik und Ergebnisse In einer multidisziplinären Kooperation wurde eine Online-Umfrage durchgeführt, in der PädiaterInnen und KrankenhausapothekerInnen aus Perinatalzentren zur Umsetzung der europäischen Leitlinien befragt wurden. Die Umfrageergebnisse wiesen auf Barrieren entlang des Bereitstellungsprozesses der PE hin, die eine leitliniengerechte Anwendung erschweren. Basierend auf den Ergebnissen erarbeitete das Expertennetzwerk ein interaktives Toolkit mit vereinfachten Leitlinienempfehlungen, leitlinienkonformen Anwendungsratschlägen, Best-Practice-Beispielen, Formularen und Handouts. Es soll zur kritischen Reflexion der Routineprozesse anregen und liefert konkrete Lösungsansätze zur Überwindung der Barrieren in der Praxis. Schlussfolgerung Die Anwendung der PE bei Früh- und kranken Neugeborenen weicht von den Leitlinienempfehlungen ab. Das erarbeitete Toolkit liefert praxisorientiere Hilfestellungen mit dem Ziel, eine leitliniengerechte Anwendung in Perinatalzentren zu fördern.

Toolkit for Developing Structural Competency in Health Disparities in Allergy and Immunology Training and Research

Resources to prepare Allergy and Immunology trainees and providers to recognize and address health disparities are lacking. We designed a curriculum using interactive sessions incorporating disease-specific, evidence-based content, and a panel-based workshop with facilitated discussion to prepare Allergy and Immunology trainees to identify structural racism and health disparities. Pre-session surveys revealed that a high portion of trainees reported feeling comfortable recognizing bias and discussing health equity (n= 16, mean= 3.6/5 on a Likert scale), but felt less confident in their ability to address disparities in practice or to identify resources to care for historically disadvantaged communities (n= 16, mean= 2.9/5 on a Likert scale). The curriculum improved respondents' confidence in their ability to address these issues, with a panel-based workshop increasing attendees' scores an average of 0.65 points (n= 17, mean: pre-survey 3.31 vs post-survey 3.95). After the sessions, a toolkit was created to optimize delivery of medical education to address health disparities and define core concepts for this subject. Resources to implement these concepts in research design and recruitment efforts were included. With inadequate guidance for the incorporation of disparities-focused medical education curricula, our educational series, resources, and interactive toolkit add to existing literature to improve disparities competencies in teaching, clinical practices, and research design.

VR Toolkit for Identifying Group Characteristics

Visualising crowds is a key pedestrian dynamics topic, with significant research efforts aiming to improve the current state-of-the-art. Sophisticated visualisation methods are a standard for modern commercial models, and can improve crowd management techniques and sociological theory development. These models often define standard metrics, including density and speed. However, modern visualisation techniques typically use desktop screens. This can limit the capability of a user to investigate and identify key features, especially in real time scenarios such as control centres. Virtual reality (VR) provides the opportunity to represent scenarios in a fully immersive environment, granting the user the ability to quickly assess situations. Furthermore, these visualisations are often limited to the simulation model that has generated the dataset, rather than being source-agnostic. In this paper we implement an immersive, interactive toolkit for crowd behaviour analysis. This toolkit was built specifically for use within VR environments and was developed in conjunction with commercial users and researchers. It allows the user to identify locations of interest, as well as individual agents, showing characteristics such as group density, individual (Voronoi) density and speed. Furthermore, it was used as a data-extraction tool, building individual fundamental diagrams for all scenario agents, and predicting group status as a function of local agent geometry. Finally, this paper presents an evaluation of the toolkit made by crowd behaviour experts.

Housing for all, understood by few: Colloquial narratives from Delhi

In this conversational piece, the authors reflect on their process of designing an interactive toolkit, named ‘Kaun Hai Master? Kya Hain Plan’ (Hindi for ‘Who is the Master? What is the Plan?’), in a step towards linguistic decolonisation. It was developed as a part of the Main Bhi Dilli (Hindi for ‘I’m Delhi too’) Campaign—a civic society campaign in Delhi formed to inclusively reimagine the latest Master Plan for Delhi 2041. The toolkit deconstructed the technocratic documents in English that represent Delhi’s Master Plans, and present a more inclusive alternative to the typical top-down processes behind formulating them. It was developed keeping in mind the communities who are typically left out of planning processes. Drawing from the experience of the workshops conducted using the toolkit, emergent narratives are offered to discuss methods in which key terms and concepts related to housing can be broken down to inform, and align with, people’s struggles in asserting their right to the city. The authors discuss outcomes from the workshops that may enable us to think of ways to embed learnings from on the ground experiences in policy and planning frameworks. Simultaneously, they urge for the expansion of vocabulary located within a particular place and its people.

Prediction of Malignant Cell Infiltration Patterns with Texture Features of Biopsy-Correlated Positron Emission Tomography of Osteolytic Lesions in Multiple Myeloma

Prediction of Malignant Cell Infiltration Patterns with Texture Features of Biopsy-Correlated Positron Emission Tomography of Osteolytic Lesions in Multiple Myeloma

The three-dimensional reconstruction of the dilated renal pelvicalyceal system by non-enhanced computed tomography

Introduction. The three-dimensional reconstruction of the renal pelvicalyceal system (PCS) is possible when performing enhanced computed tomography (CT). However, the use of a contrast agent has its limitations associated with the presence of allergy and chronic kidney disease.Purpose of the study. To describe the method of semi-autonomous three-dimensional (3D) reconstruction of the PCS based on non-enhanced CT images of patients with upper urinary tract obstruction.Materials and methods. Five patients diagnosed with renal colic were recruited from April-May 2021. All patients underwent CT-urography after informed consent. Medical Imaging Interaction Toolkit program (MITK) expanded with explainable update were used for 3D-reconstruction of PCS via excretory and native phases. To assess the accuracy of the latter, both contrast and non-contrast models were compared regarding their surface area. Also, the PCS of one patient was used to reconstruct virtual endoscopic views based on enhanced and non-enhanced models. Five urologists estimated their similarity and potential use of non-enhanced models for the interventional planning via a Likert scale questionnaire. The resulting models were also analyzed by programmer-engineers to test their suitability for 3D-printing.Results. The average surface area of enhanced and non-enhanced models was 3291 mm2 and 2879 mm2, respectively. Obtained models were suitable for their intraluminal reconstruction and potential 3D-printing. Analyzed properties of non-enhanced models were estimated at 4.5 out of 5.0.Conclusion. The described semi-autonomous reconstruction of the renal PCS based on non-enhanced CT images allows for a short time to reconstruct its 3D-view in patients with the upper urinary tract obstruction.

Envisioning, designing, and rapid prototyping heritage installations with a tangible interaction toolkit

This paper discusses an empirical study on the use and appropriation of a toolkit for cultural heritage professionals and other non-technical experts (such as exhibition designers) to envision, design and prototype tangible interactive installations for visitor engagement. The Toolkit is composed of an online editor (the software) and a set of interconnected physical components and devices (the hardware). The software enables creating, adapting, deploying and testing installations together with the digital content populating them, while the hardware underpins their hands-on interactivity. The Toolkit was evaluated holistically in workshops with participants from the cultural sector. We detail aspects of the Toolkit design and how it was used in practice by collaborating teams. We discuss results showing how the Toolkit supported three phases of development of tangible heritage installations: envisioning, designing, and rapid prototyping. This paper contributes new research in HCI on digital interaction in the heritage domain, and on designing and assessing tools supporting user-driven development of novel technologies.

Think Diabetes in the Workplace: an initiative to raise awareness of diabetes structured education among employers in South London

Abstract The evidence base on the effectiveness of diabetes structured education (SE) programmes in helping people to manage their diabetes is strong. However, despite good levels of referrals for people newly diagnosed with diabetes, attendance at diabetes SE programmes is low. The workplace has been highlighted as a setting within which people with diabetes can be reached and informed about SE and potentially gain access to such programmes.This initiative was aimed at human resources (HR) and occupational health (OH) managers to promote a more flexible approach to improving access to SE for their staff with diabetes.A task and finish group was formed comprising HR and OH representatives from four public sector organisations in south London, patient advocates, diabetes clinicians and the project manager. Several activities were delivered across the organisations which can be grouped into three themes: policy changes, SE delivered in the workplace, and healthy lifestyles awareness‐raising sessions at work.Upon completion, these activities were presented as case studies in an online toolkit along with recommendations for undertaking this initiative in workplaces. Written in the style of a ‘How‐to Guide’, the interactive toolkit is an important resource for employers who want to support their staff with diabetes to attend SE programmes. Copyright © 2021 John Wiley &amp; Sons.