Current Project Research Articles

Rethinking Blockchain Technologies for the Maritime Industry: An Overview of the Current Landscape

This survey aims to provide an up-to-date and succinct yet informative overview of the blockchain technologies for the maritime industry. We synthesize the recent advancements in blockchain development and its adoption across maritime sectors, highlighting the key blockchain use cases, including promoting maritime sustainability and optimizing maritime supply chain management through improved traceability, advancing smart shipping with automated processes and fostering collaboration among stakeholders by enhancing transparency. Through an analysis of current implementations, pilot projects, and case studies, we especially focus on identifying the challenges and barriers, reasoning on the status quo, and the opportunities and future perspectives for blockchain in maritime.

ADEPT 2023 Workshop Summary

The Architecture Analysis and Design Language (AADL) is a SAE standard for modeling both hardware and software architecture of embedded systems. Widely embraced by stakeholders in critical real-time embedded systems, the AADL standard is used to address a large set of concerns including performances (latency, schedulability), safety, and security. The ADEPT workshop aims to present and report on current projects in the field of design, implementation, and verification of critical real-time embedded systems where AADL is a first-citizen technology. This article is a summary of the second edition of the workshop in 2023.

Unveiling the potential of Au cocatalysts to induce SPR charges on CuO/CdS system for sunlight driven hydrogen production†

Atmospheric pollution and increasing costs of the fossil fuels have compelled the researchers to explore the alternative sources. The objective of current project is to discover the stable catalysts that can drive water splitting reaction with sunlight. To the purpose, visible light active catalysts i.e. CdS, CuO/CdS, and Au@CuO/CdS have been synthesized and evaluated for hydrogen generation activities. Gold cocatalysts have been employed to enhance the surface stability and catalytic efficiencies. Whereas, CuO/CdS heterojunction have been synthesized to improve charge separation ability. The optical characteristics, structural properties, and morphology of catalysts have been evaluated by UV‒Vis/DRS, XRD, Raman, BET, SEM, AFM, PL and FTIR techniques. Chemical compositions, photocurrent or charge transfer have been verified with XPS, EDX and EIS results. Catalytic reactions were performed in photoreactor (150mL/Pyrex), whereas hydrogen production activities were predicted via online GC-TCD (Shimadzu-2010/Japan). Results depict that catalyst with 0.8% of Au on CuO/CdS exhibit relatively higher activity (i.e. 32.13 mmolg‒1h‒1) than the other catalysts of the series. Higher activities were attributed to the presence of Au cocatalysts. It has been predicted that coexistence of gold develops Schottky junctions that progressively rectify the surface charges (i.e. movement of electrons). Additionally, gold induces the SPR charges and enhances activity of electrons. Schottky junctions formed by Au cocatalysts on CuO/CdS system restrict the charge recombination i.e. back reactions. In this study, various factors like temperature, pH, light intensity and dose of catalysts have been assessed and discussed. On the basis of activities, it has been concluded that work reported herein hold promise to replace the conventional catalysts used for hydrogen energy technologies.

A moving target: trade-offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate.

Observational evidence indicates that tree leaf area may acclimate in response to changes in water availability to alleviate hydraulic stress. However, the underlying mechanisms driving leaf area changes and consequences of different leaf area allocation strategies remain unknown. Here, we use a trait-based hydraulically enabled tree model with two endmember leaf area allocation strategies, aimed at either maximizing carbon gain or moderating hydraulic stress. We examined the impacts of these strategies on future plant stress and productivity. Allocating leaf area to maximize carbon gain increased productivity with high CO2, but systematically increased hydraulic stress. Following an allocation strategy to avoid increased future hydraulic stress missed out on 26% of the potential future net primary productivity in some geographies. Both endmember leaf area allocation strategies resulted in leaf area decreases under future climate scenarios, contrary to Earth system model (ESM) predictions. Leaf area acclimation to avoid increased hydraulic stress (and potentially the risk of accelerated mortality) was possible, but led to reduced carbon gain. Accounting for plant hydraulic effects on canopy acclimation in ESMs could limit or reverse current projections of future increases in leaf area, with consequences for the carbon and water cycles, and surface energy budgets.

Advancing gender equality through strategic project management: A framework for integrating gender-responsive policies in development projects

This review presents a strategic framework for integrating gender-responsive policies into project management to advance gender equality within development projects. Gender equality is increasingly recognized as a crucial component of sustainable development, yet significant gaps remain in effectively embedding gender considerations in project planning and execution. Through a review of successful case studies and current project management practices, this review explores how structured, gender-responsive strategies can enhance the impact of development projects across diverse sectors. The proposed framework emphasizes a systematic approach to incorporating gender perspectives from the project design phase through implementation and evaluation. Key components include conducting initial gender impact assessments, establishing gender-specific goals and indicators, and ensuring adequate budget allocations for gender-focused activities. Additionally, the framework underscores the importance of continuous monitoring, stakeholder engagement, and the collection of gender-disaggregated data to inform adaptive management. Challenges such as institutional constraints, cultural resistance, and limited gender-specific expertise among project teams are addressed with recommendations for building capacity and securing policy support. Best practices highlighted include fostering partnerships with local women’s organizations, engaging community leaders, and providing gender sensitivity training for project staff. This review concludes that integrating gender-responsive policies in project management not only advances gender equality but also contributes to more inclusive and effective development outcomes. The framework offers a replicable model for project managers and policymakers, advocating for a shift towards projects that prioritize equitable participation and benefits for all genders. By implementing these practices, development initiatives can create sustainable socio-economic improvements and foster gender-inclusive environments.

Monitoring of toxic metals(loids) in fifteen raptor bird species of Iran.

The current study was conducted to identify the contamination of 10 toxic metals(loids) (mercury (Hg), lead (Pb), cadmium (Cd), chromium (Cr), zinc (Zn), copper (Cu), selenium (Se), nickel (Ni), arsenic (As) and aluminium (Al)) in the feathers of 15 raptor bird species, which tries to analyze the adverse effects, taxonomic affiliation, spatial distribution, habitat type, and effect of age. During 2020-2022, 476 feathers of 115 birds were collected and the primary feathers of each bird were sampled and an Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to analyze the toxic metals(loids). It was found that there is a statistically significant difference between the concentration of metals(loids) and the studied birds (except for As) (p < 0.05). The highest average concentrations of Hg and Al in tawny owl (2.26 and 1184.75 mg/kg dry weight, respectively), Cu in spotted little owl (10.45 mg/kg), and Pb, Cd, Cr, Zn, Se, Ni, and As in pallid scops owl (5.44, 0.19, 3.93, 251.99, 4.84, 5.45, and 0.52 mg/kg, respectively) were observed. According to the threshold level of elements, the status of Pb, Cr, Ni, and Al can be reported as unfavorable. In the current project, there was a statistically significant difference between the concentration of Hg, Cr, and Ni in the studied birds and spatial distribution (p < 0.05). The pollution of birds in Khuzestan province with toxic elements was considerable and in all ten elements investigated, this province is among the first 5 provinces in terms of pollution. In the case of most of the investigated elements, namely Pb, Cd, Cr, Zn, As, and Ni, the highest concentration was related to the habitat of open grasslands (2.10, 0.04, 0.98, 64.66, 0.15, and 1.26 mg/kg, respectively). Regarding most of the studied elements, adult birds had the highest concentration, but elements such as Ni and As showed a reverse trend so that nestling birds had higher concentrations of Ni and As in their feathers. As a conclusion, tawny owl, spotted little owl, and pallid scops owl can be introduced among the important group of raptor birds as distinct indicators of environmental pollution.

Student Networking Presentations: Cultivating Communication and Critical Thinking Skills in the Asynchronous Virtual Classroom

More work is now completed in a remote setting than ever before. As the skills demanded by employers evolve to meet changing workplace demands, communication remains a noted deficiency for recent college graduates. To bridge this skill gap, we present a format translation of a qualitative interview exercise that has been reimagined for use in the asynchronous online classroom. As a supplement to the several peer-to-peer networking activities already available in the management education literature, the current project provides a structured environment for online students to engage in a real-world networking interview with a business professional of their choosing. Through the activity, students hone their networking, communication, and critical thinking skills as they utilize a variety of Microsoft Teams tools to practice interviewing and presenting in a virtual, asynchronous setting.

SINGULARITIES OF THE SELF, AS A YANOMAMI SHAMAN

Based on the need to gather resources that would allow us to conduct a careful reading of the work A Queda do Céu – Palavras de um Xamã Yanomami, by Davi Kopenawa and Bruce Albert, in our current research project, we attempted to find answers to the misunderstandings in the historical, cultural, and legal-institutional relations maintained between civilized people and indigenous people who share Brazilian territory, or, according to Viveiros de Castro (2015), to elucidate a “poor, sporadic, and highly unequal dialogue.” However, when addressing the problem of the enunciation of person, which we set out to address, the inappropriateness of the theoretical inflections we chose at the beginning of such research was revealed. Faced with this impasse, we decided to resume the studies already conducted, seeking, in this text, to unfold them as a kind of report of errors – and possible course correction. Thus, we begin by exposing the difficulties posed by the use of modern literary and philosophical categorizations – autodiegesis and heterodiegesis, subject and alterity, author and reader. We then examine certain enunciative problems established by the autodiegetic figuration of a non-Western historical subject, as well as certain interpretative marks constituted both by the reading repertoire and by the horizon of expectations (ISER, 2013). By way of conclusion, we present the realignment of the epistemological perspective adopted to account for the intended investigation.

Advancing Additive Manufacturing Through Machine Learning Techniques: A State-of-the-Art Review

In the fourth industrial revolution, artificial intelligence and machine learning (ML) have increasingly been applied to manufacturing, particularly additive manufacturing (AM), to enhance processes and production. This study provides a comprehensive review of the state-of-the-art achievements in this domain, highlighting not only the widely discussed supervised learning but also the emerging applications of semi-supervised learning and reinforcement learning. These advanced ML techniques have recently gained significant attention for their potential to further optimize and automate AM processes. The review aims to offer insights into various ML technologies employed in current research projects and to promote the diverse applications of ML in AM. By exploring the latest advancements and trends, this study seeks to foster a deeper understanding of ML’s transformative role in AM, paving the way for future innovations and improvements in manufacturing practices.

Assessing Project Resilience Through Reference Class Forecasting and Radial Basis Function Neural Network

A project needs to be able to anticipate potential threats, respond effectively to adverse events, and adapt to environmental changes. This overall capability is known as project resilience. In order to make efficient project decisions when the project is subjected to disruption, such as adjusting the project budget, reformulating the work plan, and rationalizing the allocation of resources, it is necessary to quantitatively understand the level of project resilience. Therefore, this paper develops a novel approach for forecasting project performance, illustrating the changes in performance levels during the disruption and recovery phases of a project and thus quantitatively assessing project resilience. While there are several methods for assessing project resilience in existing research, the majority of assessment approaches originate from within projects and are highly subjective, which makes it difficult to objectively reflect the level of project resilience. Moreover, the availability of project samples is limited, which makes it difficult to forecast the level of project performance. In view of the fact that the Reference Class Forecasting (RCF) technique avoids subjectivity and the Radial Basis Function (RBF) neural network is known to be better at forecasting small sample datasets, this paper therefore combines the RCF technique and the RBF neural network to construct a model that forecasts the project performance of the current project after experiencing a disruption, further assessing the level of the project resilience. Specifically, this paper first presents a conceptual model of project resilience assessment; subsequently, an RBF neural network model that takes into account project budget, duration, risk level of disruption, and performance before disruption based on the RCF technique is developed to forecast project performance after experiencing disruption; and finally, the level of project resilience is assessed through calculating the ratio of recovery to loss of project performance. The model is trained and validated using 64 completed construction projects with disruptions as the datasets. The results show that the average relative errors between the forecast results of schedule performance index (SPI) and the real values are less than 5%, and the R2 of the training set and the testing set is 0.991 and 0.964, respectively, and the discrepancy between the forecasted and real values of project resilience is less than 10%. These illustrate that the model performs well and is feasible for quantifying the level of project resilience, clarifying its impact on project disruption and recovery situations, and facilitating the decision-makers of the project to make reasonable decisions.

BIOM-57. PERITUMORAL EDEMA AS A PREDICTOR OF PD-1 EXPRESSION IN BRAIN METASTASES

Abstract Brain metastases represent a significant problem in oncology with associated high morbidity and mortality. They have been associated with increased peritumoral edema which can worsen neurological symptoms and patient outcomes. Peritumoral cerebral edema may be an important metric of interest as some MRI studies have suggested an association between molecular factors and peritumoral edema. We hypothesized that an association exists between PD-1 expression in brain mets from NSCLC and the radiographic peritumoral edema to enhancing tumor ratio (ETR). A retrospective analysis of tumor characteristics was conducted to identify patients with brain metastases from non-small cell lung cancer. Patients were stratified into three groups based on their tumor PD-1 expression levels: 0%, 1-49%, and 50% or higher. Tumor and edema volumes were measured in these patients using MRIs at the time of diagnosis and converted into edema to tumor ratios. Radiographic analysis has been completed for 19 patients with 9 having no PD-1 expression, 5 having low PD-1 expression, and 5 having high PD-1 expression. The no expression group had an average ETR of 3.02 while the low expression group had an average of 15.85 and the high expression group had an average of 9.12. These initial results show increased peritumoral edema in tumors with PD-1 expression when compared to tumors with no PD-1 expression, with a non-significant trend in favor of increased edema to tumor ratio (p = 0.055). The current project is ongoing with plans to expand patient cohorts to affirm or rule out significant ETR association by MRI.

Designing platforms for digital object-based learning

Over the last decade, object-based learning programs have become a staple of museum collections. These programs encourage and allow patrons to engage with a series of curated objects, offering educational experiences through tactile exploration. Naturally, they are focused on having their audience engage with the physical objects themselves (Chatterjee &amp; Hannan 2016). Applying museological practice and object-based learning in the digital context requires not just presenting digital replica of physical objects, but scaffolding their presentation and platform with purpose, intent, and understanding of the strengths and pitfalls of digital delivery (Beetham &amp; Sharpe 2013; De Kluis, Romp, &amp; Land-Zandstra 2024). As such, digital object-based learning platforms and programs purposefully designed for remote learning and online delivery fill a unique niche in the higher education space and are beginning to come into their own. At Macquarie University, objectbasedlearning.com (an initiative of the Faculty of Arts and stewarded by its Learning Design and Production team) was relaunched in late 2023 following an extensive redesign, with learning designers, academics, and students now working together to provide new remote learning opportunities and experiences for the classroom. This presentation introduces the audience to the refurbished website, explains the ethos behind its redesign with an eye to evolving learning spaces and remote learning, and explores the site’s current and future applications and projects as a case study for designing digital object-based learning. The site was designed with future utility and outreach at its core, offering flexibility in how it presents and categorizes digital objects, and a site layout which reflects the needs of its target audience – schoolteachers. The NSW Stages 5 and 6 Curriculum informs the website’s design, determining how objects are grouped, how users navigate the site, and what information and metadata is prioritized, developed, and displayed. Since its relaunch, the website has been utilized in schools and faculties in NSW to deliver object-based learning experiences and classes. While it is too early to publish on outcomes of the project, early feedback has been positive, and new teaching initiatives have developed around the platform. In 2024, student interns at Macquarie were challenged to develop educational materials, lessons, and workshops which took advantage of the potential of technology-enabled object-based learning. These artefacts were designed to give students a unique object-based learning experience, removing the boundaries of physical distance, financial constraints, and fragility of objects. Moreover, student interns involved in the photogrammetric scanning of objects for the website were themselves enjoying an object-based learning experience, engaging with their materiality and learning how best to present the object in a digital environment.

Last-Mile Delivery Optimization: Balancing Cost Efficiency and Environmental Sustainability

The significance of last-mile delivery in supply chains has increased due to the growth of e-commerce. Last- mile delivery (LMD) is responsible for a large amount of the environmental impact and overall logistical costs. In order to balance economic effectiveness and environmental sustainability in last-mile delivery operations, this article examines optimization options. The study used a descriptive design; collected and analyzed quantitative data. Key players in last-mile delivery, including logistics firms, online merchants, and delivery service providers, who were given surveys via Google Forms to collect primary data. The topics covered included cost structures, environmental issues, current optimization techniques, and practices. Data on current last-mile delivery strategies, optimization techniques, and environmental sustainability projects were gathered through a literature review. With a case study in Lagos, Nigeria, the study focused on metropolitan areas. Participants with substantial last-mile delivery and logistics experience were chosen using a purposive sample technique. Twenty logistics and supply chain managers, ten couriers and delivery drivers, ten owners of e-commerce businesses, thirty customers, five transportation and logistics service providers, five sustainability specialists, eight city officials and urban planners, and seven technology providers were included in the sample. The analysis with statistical methods, such as table and charts, was used to analyzed the participants opinions. The paper contributes to the growing body of literature that links supply chain efficiency with sustainability goals

DNAR-05. VALIDATING THE ERK5 PROTAC OS11 AS A POTENTIAL NOVEL THERAPEUTIC INEX VIVO GLIOMA STEM CELL MODELS OF INTRATUMOURAL HETEROGENEITY AND RESIDUAL DISEASE

Abstract Glioblastoma is a grade IV brain tumour with poor survival rates of 15 months post-diagnosis, and 5-year survival rates of 10%. Limited progress over the past 40 years to improve the current treatment regimen of surgery and chemo-/radio-therapy are mainly due to tumour heterogeneity that drive resistance mechanisms. The persistence of glioma stem-like cells (GSCs) sub-populations, particularly within post-surgical residual tumour tissue. ERK5 is an emerging oncology drug target that we previously highlighted as a potential target for combined therapy with temozolomide (TMZ) in glioblastoma due to heightened ERK5 expression, which is associated with poor survival. This current project aims to expand on our previous findings by establishing whether targeting ERK5 can sensitise glioblastoma cells to TMZ using primary derived ex vivo GSC models of intratumor heterogeneity and residual disease. Primary GSC models were derived from patients at the Royal Hallamshire Hospital. The PROTAC OS11 (CRUK &amp; University of Manchester) was used to degrade ERK5. DNA damage and cell survival were evaluated following treatment of TMZ alone and in combination with OS11. Consistent with our findings in established glioma cell lines, OS11 was able to robustly degrade ERK5 in a 3D GSC model for at least 72hrs. Combining OS11 and TMZ in GSCs led to a significant increase in DNA damage, with MGMT negative cells exhibiting a greater increase in DNA damage compared to MGMT positive cells. However, unlike our previous findings in established cell lines, this did not lead to reduced cell survival in combination with TMZ. These findings further support the preclinical use of ex vivo models that better represent intratumoural heterogeneity and post-surgical GCS niches. Overall, these data highlight the value of preclinical validation in more clinically relevant models to identify the best possible novel therapeutic approaches to pursue further towards clinical delivery.

Fairy Tales And Reading Skills

The current research is demanded to cover an examination accomplished with the succeeding topic: “Fairy Tales and Reading Skills” which investigates the relationship among both variables and how students’ understudies improve their reading subskills. Firstly, it is necessary to mention that reading is not considered in the way it should be in education. As a result, it leads to poor use of resources to develop reading skills. Thus, English teachers affirm that the four language skills should be developed in an integrated way because they complement each other. Therefore, the current research aims to recognize the impact of fairy tales on reading skills. Secondly, this research was carried out to scrutinize the importance of fairy tales in reading skills on the 4th level at “Unidad Educativa Bilingue La Granja”. The participants of the study were 17 students; 10 men, and 7 women. The current project had a qualitative approach and descriptive research. Thirdly, a 20 questions survey was applied to identify the use of fairy tales in the development of reading skills and the frequency that different resources are used in English classes. Finally, discerning the results of the survey, the rejection of the null hypothesis was established. Consequently, the acceptance of the alternative hypothesis was verified by corroborating that Fairy Tales influence the improvement of reading skills, and it is advised the implementation of fairy tales as a resource in English teaching methodologies.

Different metal-doped NiO nanoparticles for sunlight-mediated degradation of low-density polyethylene microplastic films.

Due to the widespread use and incorrect handling of plastics, we need to find a practical and effective way to eliminate plastic waste from the environment. Different metal-doped nickel oxide (DMD-NiO) nanoparticles (NPs) were synthesized using a sol-gel technique and were used to degrade low-density polyethylene (LDPE) microplastic (MP) films when exposed to sunlight. The optical and structural properties of sol-gel method synthesized materials were investigated using a variety of characterization methods (Fourier transform infrared (FT-IR), UV-vis diffuse reflectance spectroscopy (UV-vis DRS), X-ray diffractometer (XRD) analysis, X-ray photoelectron spectroscopy (XPS), high-resolution transmission electron microscopy (HR-TEM), scanning electron microscopy (SEM) with energy dispersive X-ray (EDX) analysis, and thermogravimetric analysis (TGA). Degradation study results suggest that the photocatalytic activity of DMD-NiO-LDPE nanocomposites (NCs) films was greater than that of pure LDPE and undoped NiO-LDPE films. Because of their increased optical absorption and efficient suppression of photo-produced charge carriers' recombination, the DMD-NiO NPs showed higher photocatalytic degradation of LDPE films. Thus, LDPE films with 2% wt Fe-NiO (iron-doped nickel oxide) nanomaterials showed a degradation of around 38.16% among DMD-NiO-LDPE NCs films under visible light over a short period of 30 days (240 h). The formation of carbonyl groups in the degradation product of LDPE was confirmed by Fourier transform infrared (FT-IR) analysis. When compared to the original LDPE film, the Fe-NiO-LDPE NCs films showed a significant decrease in crystallinity and carbonyl indexes, as much as 8.4% lower. The current project proposes the development of eco-friendly photocatalysts using a sol-gel technique for combating MP pollution in the environment.

Salt marsh litter decomposition varies more by litter type than by extent of sea-level inundation

Salt marshes are among the most efficient blue carbon sinks worldwide. The fate of this carbon is uncertain due to limited knowledge about organic matter (OM) decomposition processes under sea-level rise. In an in-situ manipulative experiment, we compared salt marsh OM decomposition and quality across simulated sea-level scenarios (by modifying the inundation) and litter types (absorptive root, fine transportive root, leaves, and rhizomes of Halimione portulacoide) for 170 days. The litter decomposition varied only between the inundation treatments with the longest and shortest durations, while the decomposition differed significantly across litter types, with absorptive roots releasing up to 40% less carbon than other litters. Changes in lignin composition were minimal for absorptive roots and were unaffected by sea-level rise scenarios. Our study suggests that (i) current projections of sea-level rise are unlikely to decrease litter decomposition; (ii) separating litter types might lead to better assessments of salt marshes’ OM dynamics.

University Technological Entrepreneurship Projects: Factors of Success

The paper presents the results of an empirical analysis of the success factors in university technological entrepreneurial projects, based on a unique empirical dataset created with the support of the project office and the office for promoting the federal project «University Technological Entrepreneurship Platform». The dataset includes a ranking of over 1,000 university projects from 2023, each of which contains information on approximately 35 characteristics, both financial and non-financial. The success indicators selected for analysis are the «final ranking position» and «investment attractiveness of the project». Statistical methods, implemented through Python libraries, were used to examine the relationships between different forms of project support and the aforementioned characteristics. The results highlight the critical role of the university environment in supporting entrepreneurial projects, while also revealing that specific support measures can exhibit varying degrees of association with project success. Two key findings are noteworthy. First, there is no positive correlation between the project’s strong embeddedness in the university environment (e.g., a team assembled within the university or a project initially started as an academic exercise) and the project’s success. Second, among the support measures implemented within the current federal project «University Technological Entrepreneurship Platform», the strongest association with the success of entrepreneurial initiatives is found in participation in startup studios. Considering contemporary discussions on the need to seek new solutions to enhance the educational and life experiences of modern students, bringing them closer to the realities of a dynamically changing labor market, the university startup studio model may serve as a source for developing new models of university organization.

Participation of persons living with dementia in research: A means to address epistemic injustice.

Epistemic injustice refers to wronging or mistreating individuals in terms of their capacity as knowers, based on prejudices or negative attitudes. Excluding people with dementia from research is a form of epistemic injustice. In this article, we discuss epistemic injustice associated with data collection processes and the participation of people with dementia in scientific research. The challenges of participation that we discuss pertain to the role of gatekeepers and ethical research perspectives. The arguments presented are based on previous research, experiences from our current project, and critical self-assessment regarding the latter. The aim is to shed light on what enables or prevents people living with dementia from participating in research, and how this is connected to epistemic injustice. It is known that prejudices related to dementia affect both researchers and people living with dementia: the former tend to exclude people with dementia, and the latter may practice self-silencing due to dementia-related stigma. In addition to these individual issues, we argue that epistemic injustice occurs at a structural level, where a major role is played by gatekeepers and research ethics panels. As close family members, health officials, and dementia-related associations are the main gatekeepers, their attitudes and perceptions are highlighted. In terms of ethical issues, the concept of informed consent needs to be elaborated. If the research is not expected to harm participants and may contribute to improving the lives of those with dementia, the perspective should be shifted from informed consent to ongoing consent assessment. While acknowledging the features and symptoms of dementia, researchers should be more courageous, trust in the good cause, and enable persons living with dementia to participate in research that concerns them. This is the only way for researchers to genuinely understand the social world, experiences, and needs of those with dementia and to address epistemic injustice.

Applying the Cognitive Walkthrough for Implementation Strategies methodology to inform the redesign of a selection-quality implementation toolkit for use in schools.

Implementation strategies are key to enhancing thetranslation of new innovations but there is a need to systematically design and tailor strategies to match the targeted implementation context and address determinants. There are increasing methods to inform the development and tailoring of implementation strategies to maximize their usability, feasibility, and appropriateness in new settings such as the Cognitive Walkthrough for Implementation Strategies (CWIS) approach. The aim of the current project is to apply the CWIS approach to inform the redesign of a multifaceted selection-quality implementation toolkit entitled Adoption of Curricular supports Toolkit: Systematic Measurement of Appropriateness and Readiness for Translation in Schools (ACT SMARTS) for use in middle and high schools. We systematically applied CWIS as the second part of a community-partnered iterative redesign of ACT SMARTS for schools to evaluate the usability and inform further toolkit redesign areas. We conducted three CWIS user testing sessions with key end users of school district administrators (n = 3), school principals (n = 6), and educators (n = 6). Our CWIS application revealed that end users found ACT SMARTS acceptable and relevant but anticipate usability issues engaging in the ACT SMARTS process. Results informed the identification of eleven usability issues and corresponding redesign solutions to enhance the usability of ACT SMARTS for use in middle and high schools. Results indicated the utility of CWIS in assessing implementation strategy usability in service of informing strategy modification as part of our broader redesign to improve alignment with end user, end recipient, and setting needs. Recommendations regarding the use of this participatory approach are discussed.