Design Framework Research Articles

Phase transition mechanism and property prediction of hafnium oxide-based antiferroelectric materials revealed by artificial intelligence

Constrained by the inefficiency of traditional trial-and-error methods, especially when dealing with thousands of candidate materials, the swift discovery of materials with specific properties remains a central challenge in contemporary materials research. This study employed an artificial intelligence-driven materials design framework for identifying dopants that impart antiferroelectric properties to HfO2 materials. This strategy integrates density functional theory (DFT) with machine learning (ML) techniques to swiftly screen HfO2 materials exhibiting stable antiferroelectric properties based on the critical electric field. This approach aims to overcome the high cost and lengthy cycles associated with traditional trial-and-error and experimental methods. Among 30 undeveloped dopants, four candidate dopants demonstrating stable antiferroelectric properties were identified. Subsequent DFT analysis highlighted the Ga dopant, which displayed favorable characteristics such as a small volume change, minimal lattice deformation, and a low critical electric field after incorporation into hafnium oxide. These findings suggest the potential for stable antiferroelectric performance. Essentially, we established a correlation between the physical characteristics of hafnium oxide dopants and their antiferroelectric performance. The approach facilitates large-scale ML predictions, rendering it applicable to a broad spectrum of functional material designs.

Persuasive design principle of social support in digital interventions targeting mental health symptoms: a systematic review and meta-analysis

ObjectiveThis systematic review and meta-analysis evaluates the available evidence on efficacy of social support strategies, as defined by the persuasive system design framework, in internet-based and mobile-based interventions (IMI) targeting...

Induced-Strain Actuators for Morphing of Multi-Element Airfoils

A multi-objective optimization framework is developed to examine the capabilities of surface-mounted piezocomposites for camber morphing of multi-element airfoils for various sizes of aircraft. A parameterized piezocomposite-actuated airfoil concept, along with associated modeling and analysis methods, is presented for determining the static aeroelastic response of a morphing multi-element airfoil. The optimization algorithm is also presented for determining airfoil parameters for meeting an arbitrary mission objective. The optimization capability is demonstrated using a multi-element airfoil to produce high-lift control surface geometries. A model-scale prototype is designed based on the optimization and fabricated for experimental testing to validate the design framework and provide confidence for full-scale analysis. Full-scale morphing capability is examined using commercially available piezocomposite actuators for a small passenger jet, clearly quantifying the limitations of induced-strain actuation at large aerodynamic loading and Reynolds numbers. Additional design optimizations are conducted and presented with a so-called “vision” actuator that is not available today; however, it may become available in the future. It is shown that strain-induced actuation for large aircraft may become reality in the future with reasonable developments in smart materials.

Development of fluorescence lifetime biosensors for ATP, cAMP, citrate, and glucose using the mTurquoise2-based platform

Single-fluorescent protein (FP)-based FLIM (fluorescence lifetime imaging microscopy) biosensors can visualize intracellular processes quantitatively. They require a single wavelength for detection, which facilitates multi-color imaging. However, their development has been limited by the absence of a general design framework and complex screening processes. In this study, we engineered FLIM biosensors for ATP (adenosine triphosphate), cAMP (cyclic adenosine monophosphate), citrate, and glucose by inserting each sensing domain into mTurquoise2 (mTQ2) between Tyr-145 and Phe-146 using peptide linkers. Fluorescence intensity-based screening yielded FLIM biosensors with a 0.5 to 1.0ns dynamic range upon analyte binding, demonstrating that the mTQ2(1-145)-GT-X-EF-mTQ2(146-238) backbone is a versatile platform for FLIM biosensors, allowing for simple intensity-based screening while providing dual-functional biosensors for both FLIM and intensity-based imaging. As a proof of concept, we monitored cAMP and Ca2+ dynamics simultaneously in living cells by dual-color imaging. Our results complement recent studies, establishing mTQ2 as a valuable framework for developing FLIM biosensors.

Design Of A Hybrid Power Generation System in Cipatujah Tasikmalya Regency

The escalating daily demand for electricity, propelled by technological advancements and the pervasive use of electronic devices, accentuates the imperative for a dependable and sustainable power generation system. Renewable energy sources emerge as a viable solution to address the electricity needs in Indonesia, particularly in remote areas where access to the main grid is challenging. Tasikmalaya Regency, situated in West Java Province and defined by its geographical coordinates between 7°02' 29" - 7°49' 08" South Latitude and 107°54' 10" - 108°25' 52" East Longitude, presents a promising setting for the implementation of such sustainable energy solutions. The coastal area of Tasikmalaya, specifically Cipatujah Subdistrict, exhibits substantial renewable energy potential, including wind, solar radiation, and ocean waves. This research endeavors to design an efficient hybrid power generation system in Cipatujah Subdistrict using HomerPro software. The methodology involves crafting various models to determine the most economically efficient generation strategy. The study utilizes electricity consumption data sourced from the Karangnunggal Tasikmalaya Substation, situated in the southern coastal region of Tasikmalaya, particularly in Cipatujah Subdistrict, with a daily consumption of 20.6917 MW. By addressing the specific energy needs of the region, the research aims to make a positive contribution to the development of renewable energy and, concurrently, serve as a guiding framework for similar system designs in locations sharing comparable characteristics. This multifaceted approach underscores the significance of tailoring sustainable energy solutions to the unique requirements of diverse regions, fostering a broader transition towards a reliable and environmentally conscious energy future.

Integrating Multiple Redox‐Active Units into Conductive Covalent Organic Frameworks for High‐Performance Sodium‐Ion Batteries

AbstractThe rational design of porous covalent organic frameworks (COFs) with high conductivity and reversible redox activity is the key to improving their performance in sodium‐ion batteries (SIBs). Herein, we report a series of COFs (FPDC‐TPA‐COF, FPDC‐TPB‐COF, and FPDC‐TPT‐COF) based on an organosulfur linker, (trioxocyclohexane‐triylidene)tris(dithiole‐diylylidene))hexabenzaldehyde (FPDC). These COFs feature two‐dimensional crystalline structures, high porosity, good conductivity, and densely packed redox‐active sites, making them suitable for energy storage devices. Among them, FPDC‐TPT‐COF demonstrates a remarkably high specific capacity of 420 mAh g−1 (0.2 A g−1), excellent cycling stability (~87 % capacity retention after 3000 cycles, 1.0 A g−1) and high rate performance (339 mAh g−1 at 2.0 A g−1) as an anode for SIBs, surpassing most reported COF‐based electrodes. The superior performance is attributed to the dithiole moieties enhancing the conductivity and the presence of redox‐active carbonyl, imine, and triazine sites facilitating Na storage. Furthermore, the sodiation mechanism was elucidated through in situ experiments and density functional theory (DFT) calculations. This work highlights the advantages of integrating multiple functional groups into redox‐active COFs for the rational design of efficient and stable SIBs.

A Fully Saturated Covalent Organic Framework.

We report the design and synthesis of the first aliphatic covalent organic framework (COF), NUS-119, and its subsequent conversion to NUS-120, marking the first fully saturated COF. NUS-119 is built by imine-linkages exhibiting high crystallinity and porosity, achieved by using a Lewis acid as a reaction modulator to circumvent compatibility issues between the Brønsted acid and the strong basic monomer. The structure was successfully solved using 3D microelectron diffraction (microED) techniques. NUS-119 and NUS-120 demonstrated remarkable catalytic performance in base-catalyzed Knoevenagel condensation reactions, exhibiting high conversion rates, excellent size selectivity, and good recyclability. This work advances the understanding of COF materials and paves the way for future research and applications.

Integrating Multiple Redox-Active Units into Conductive Covalent Organic Frameworks for High-Performance Sodium-Ion Batteries.

The rational design of porous covalent organic frameworks (COFs) with high conductivity and reversible redox activity is the key to improving their performance in sodium-ion batteries (SIBs). Herein, we report a series of COFs (FPDC-TPA-COF, FPDC-TPB-COF, and FPDC-TPT-COF) based on an organosulfur linker, (trioxocyclohexane-triylidene)tris(dithiole-diylylidene))hexabenzaldehyde (FPDC). These COFs feature two-dimensional crystalline structures, high porosity, good conductivity, and densely packed redox-active sites, making them suitable for energy storage devices. Among them, FPDC-TPT-COF demonstrates a remarkably high specific capacity of 420 mAh g-1 (0.2 A g-1), excellent cycling stability (~87 % capacity retention after 3000 cycles, 1.0 A g-1) and high rate performance (339 mAh g-1 at 2.0 A g-1) as an anode for SIBs, surpassing most reported COF-based electrodes. The superior performance is attributed to the dithiole moieties enhancing the conductivity and the presence of redox-active carbonyl, imine, and triazine sites facilitating Na storage. Furthermore, the sodiation mechanism was elucidated through in situ experiments and density functional theory (DFT) calculations. This work highlights the advantages of integrating multiple functional groups into redox-active COFs for the rational design of efficient and stable SIBs.

이해중심 교육과정에 기반한 호주 자국어 교육과정 문학 영역의 교육 내용 분석

Objectives This study aims to identify the advantages and limitations that may arise when the Understanding by Design (UbD) framework is fully implemented in the literature domain of the Korean language curriculum by analyzing the educational content of the literature domain in the Australian national language curriculum based on the UbD framework. Methods For this purpose, I selected educational content combined with performance verbs related to understanding (explanation, interpretation, application, perspective, empathy, self-knowledge) provided by the UbD framework from the literature domain of the Australian national language curriculum (version 9.0). The selected content was then analyzed according to sub-domains of literature and types of understanding. Results In terms of sub-domains, cognitive activities were distributed as educational content, focusing on the exploration of literature represented in socio-cultural and historical contexts (<Literature and Context>), engagement and response to literature (<Engaging with and Responding to Literature>), multifaceted exploration of literary forms (<Examining Literature>), and the transfer of literary knowledge (<Creating Literature>). Regarding types of understanding, the content was designed to ‘explain’ the reasons and methods of appreciating literature, ‘interpret’ by attributing value to understanding literature, ‘apply’ literary knowledge appropriately in new contexts, form ‘perspectives’ by relationally expanding and refining understanding of literature, and develop ‘self-knowledge’ by reflecting on personal understanding of literature. Conclusions The advantage of this approach is that it allows for a meta-understanding of literature by using literature phenomena as the organizing principle of literature education content and promotes the formation of a knowledge repertoire for transfer based on conditional knowledge. However, a limitation is that literature education activities tend to be biased towards the generalization of knowledge.

Emotional Resonance in Brand Innovation: An Examination of Emotion Recognition and Customized Music Services within the Shengchuan Poetry Brand Design Framework

This research endeavors to delve into the intricate nexus of emotion recognition technologies and artistic design methodologies, examining their harmonious integration within the realm of brand design. Specifically, it investigates how these modalities can evoke multifaceted emotions, including anger, fear, excitement, and sadness, to forge profound emotional connections with consumers. By analyzing the innovative strategies employed by the hypothetical yet illustrative Shengchuan Poetry brand, particularly in its visual communication, user experience architecture, and customized music services, this study aims to elucidate the emotional underpinnings of its distinctive brand identity and the mechanisms that facilitate emotional resonance among its audience. It contributes to the scholarly discourse on brand innovation by proposing a conceptual framework that advocates for emotions as a strategic lever in designing memorable and impactful brand experiences.

Optimizing Thermoplastic Starch Film with Heteroscedastic Gaussian Processes in Bayesian Experimental Design Framework.

The development of thermoplastic starch (TPS) films is crucial for fabricating sustainable and compostable plastics with desirable mechanical properties. However, traditional design of experiments (DOE) methods used in TPS development are often inefficient. They require extensive time and resources while frequently failing to identify optimal material formulations. As an alternative, adaptive experimental design methods based on Bayesian optimization (BO) principles have been recently proposed to streamline material development by iteratively refining experiments based on prior results. However, most implementations are not suited to manage the heteroscedastic noise inherently present in physical experiments. This work introduces a heteroscedastic Gaussian process (HGP) model within the BO framework to account for varying levels of uncertainty in the data, improve the accuracy of the predictions, and increase the overall experimental efficiency. The aim is to find the optimal TPS film composition that maximizes its elongation at break and tensile strength. To demonstrate the effectiveness of this approach, TPS films were prepared by mixing potato starch, distilled water, glycerol as a plasticizer, and acetic acid as a catalyst. After gelation, the mixture was degassed via centrifugation and molded into films, which were dried at room temperature. Tensile tests were conducted according to ASTM D638 standards. After five iterations and 30 experiments, the films containing 4.5 wt% plasticizer and 2.0 wt% starch exhibited the highest elongation at break (M = 96.7%, SD = 5.6%), while the films with 0.5 wt% plasticizer and 7.0 wt% starch demonstrated the highest tensile strength (M = 2.77 MPa, SD = 1.54 MPa). These results demonstrate the potential of the HGP model within a BO framework to improve material development efficiency and performance in TPS film and other potential material formulations.

Optimization of architectural design and construction with integrated BIM and PLM methodologies.

Digital transformation in the architecture industry encounters challenges such as data silos within design stages, between design and construction, and across the entire industry chain, including BIM and project management. This study introduces a pioneering approach for seamlessly integrating building information modeling (BIM) and product lifecycle management (PLM) within the management framework and collaborative workflows of architectural design and construction. The proposed methodology was implemented in two major projects, namely, the Wuhan Next-Generation Weather Radar Construction Project and the Hubei Center for Disease Control and Prevention Comprehensive Capacity Enhancement Project (Phase I), with the former being China's first end-to-end digitally integrated construction project. Compared with traditional projects, these implementations achieved improvements of 24.39% and 38.04%, respectively, in objective function values. The findings highlight the unique advantages of BIM-PLM integration in optimizing lifecycle management, enhancing cross-disciplinary, cross-enterprise, and cross-regional collaboration, improving project design efficiency and quality, and reducing costs and waste. This integration provides valuable insights into the digital advancement of the construction industry.

Increasing the collaboration of data science stakeholders with a knowledge management system

PurposeThis paper presents the design and implementation of collaborative data science framework (CoDS), a knowledge management system for consolidating data science activities in an enterprise.Design/methodology/approachThe development of the CoDS framework is grounded on the design science research methodology for information systems research. In our case study, we first designed the initial framework for CoDS based on a systematic literature review. Then, we collected the expert opinions of eight data scientists to validate the need for generic content for such a knowledge management system. In the second iteration, a portfolio prototype is developed by the same data scientists as a part of our technical action research. Finally, a survey is conducted with 57 data analyst candidates in the last iteration.FindingsUsing the CoDS portfolio strengthened the communication among data scientists and stakeholders to improve development and scaling activities. It eased the reuse or modification of existing analytical solutions in other company processes.Practical implicationsThe CoDS presents a platform on which business details, data-related knowledge, modeling procedures and deployment steps are shared for (1) mediating and scaling ongoing projects, (2) enriching knowledge transfer among stakeholders, (3) facilitating ideation of new products and (4) supporting the onboarding of new employees and developers.Originality/valueThis study proposes a novel structure and a roadmap for creating a data science knowledge management system for the collaboration of all stakeholders in an enterprise.

Corrosion resistance in LNG plant design: Engineering lessons for future energy projects

Corrosion resistance is a critical consideration in the design and operation of liquefied natural gas (LNG) plants, where harsh environmental conditions and aggressive chemicals can significantly impact asset integrity and safety. This paper explores engineering lessons learned from past LNG projects, emphasizing the importance of corrosion management strategies to enhance the longevity and reliability of energy infrastructure. The study highlights key factors contributing to corrosion in LNG facilities, including materials selection, environmental exposure, and operational practices. By employing advanced materials such as corrosion-resistant alloys and coatings, engineers can mitigate corrosion risks, leading to reduced maintenance costs and extended equipment lifespan. The paper examines successful case studies where proactive corrosion management has been implemented, showcasing innovative engineering solutions such as cathodic protection, corrosion monitoring systems, and design modifications that enhance resistance to corrosion-related failures. Furthermore, it addresses the role of regular inspections, predictive maintenance, and risk-based approaches in identifying potential corrosion issues before they escalate into significant problems. As LNG plants continue to proliferate globally, the integration of corrosion resistance into design and operational frameworks becomes increasingly vital. This paper also discusses emerging technologies and materials that hold promise for improving corrosion resistance, including nanotechnology and smart coatings that provide real-time monitoring capabilities. By learning from past projects and embracing a proactive approach to corrosion management, future energy projects can enhance safety, reduce operational risks, and achieve greater sustainability in their operations. Ultimately, the lessons derived from this research will contribute to developing best practices for designing and operating LNG plants and other energy facilities, ensuring that they meet the challenges of a rapidly evolving energy landscape.

Model-based design of a mechanically intelligent shape-morphing structure

Soft robotics has significant interest within the industrial applications due to its advantages in flexibility and adaptability. Nevertheless, its potential is challenged by low stiffness and limited deformability, particularly in large-scale application scenarios such as underwater and offshore engineering. The integration of smart materials and morphing structures presents a promising avenue for enhancing the capabilities of soft robotic systems, especially in large deformation and variations in stiffness. In this study, we propose a multiple smart materials based mechanically intelligent structure devised through a model-based design framework. Specifically, the intelligent structure incorporates smart hydrogel and shape memory polymer (SMP). Employing the finite element method (FEM), we simulated the complex interactions among smart material to analyze the performance characteristics of the intelligent structure. The results demonstrate that, utilizing smart hydrogel and shape memory polymer (SMP) can effectively attain large deformation and exhibit variable stiffness due to the shape memory effect. Besides, the shape-morphing structures exhibit customized behaviours including bending, curling, and elongation, all while reducing reliance on external power sources. In conclusion, utilizing multiple smart materials within the model-based design framework offers an efficient approach for developing mechanically intelligent structure capable of complex deformations and variable stiffness, thereby providing support for underwater or offshore engineering applications.

A next-generation holistic building design framework: a focus on integrating sustainable and vernacular design principles

The proliferation of sustainable design approaches and assessment methods has resulted in a vast array of indicators. However, this abundance often leads to confusion during interpretation and application. Additionally, rapid urbanization and environmental concerns sometimes overshadow social and economic considerations, emphasizing environmental impact reduction. This study addresses these challenges through an integrated approach that combines a Systematic Literature Review (SLR) with a Decision-Making Trial and Evaluation Laboratory (DEMATEL) analysis to provide a holistic model for sustainable building design. The SLR was carried out individually through a relative Structural Query Language (SQL) regarding sustainable building design and vernacular principle. The output of SLR was subjected to DEMATEL model to recognize the holistic indicators interconnection and validate the proposed model. The research identified 23 global indicators for building sustainability worldwide, with five—Energy, Materials & Resources, Sites & Ecology, Indoor Environmental Quality, and Water—emerging as the most prevalent. Additionally, 22 consistently applied indicators in vernacular design practices exhibited significant overlap with those in sustainable design. This model integrated two novel indicators—Vernacular Principles and Social—Culture—with common sustainable building indicators. These primary indicators complement the common and applicable sustainable building indicators, ensuring a balanced approach that considers global contexts. DEMATEL analysis confirmed the validity and interconnection of these indicators, emphasizing the critical role of vernacular principles in achieving true sustainability.

The Influence of Different Pontic Designs on Fracture Resistance of Implant-supported Fixed Partial Dentures Anchored in Polyurethane Simulating Bone-blocks of Two Different Densities: An In Vitro Study.

This study aimed to evaluate the fracture resistance of implant-supported fixed partial prostheses fabricated from monolithic zirconia with different pontic framework designs and anchored in different bone-like simulation models of two different densities. A total of 60 implants were anchored in two different in vitro bone simulation models of two different densities, namely, solid polyurethane foam blocks, 20 and 10 pounds per cubic foot (PCF) to construct implant-supported fixed partial dentures (FPDs), the pontic constructed to replace missing second premolar and first molar. Thirty models were constructed and then divided into two groups according to anchoring material D2 (n = 15) and D3 (n = 15). Each group of models was subdivided into three groups according to pontic design (n = 5). Each model was tested against fracture in a universal testing machine. The data were analyzed with a two-way univariate ANOVA and Tukey HSD test (α = 0.05). The results were statistically analyzed, and the values were considered significant at p≤0.05. The findings showed that neither change in pontic design nor change in bone type has a significant influence on the fracture resistance of the prostheses (p > 0.05). All the tested materials fell within the acceptable range for functioning under mastication, with a slight change in resistance when the pontic design was changed. Zirconia is considered the material of choice when planning implant-supported FPDs because of its high fracture strength values. Within the limitations of this study, the pontic design and synthetic polyurethane bone-simulating model had no effect on the fracture resistance of four-unit implant-supported FPDs. This study postulated that any pontic design could be used in four units of implant-supported FPDs according to functional and aesthetic needs, as long as the histological nature of the alveolar bone falls within the D2 or D3 bone type. How to cite this article: Othman MS, Abu-Eittah MRH. The Influence of Different Pontic Designs on Fracture Resistance of Implant-supported Fixed Partial Dentures Anchored in Polyurethane Simulating Bone-blocks of Two Different Densities: An In Vitro Study. J Contemp Dent Pract 2024;25(7):684-690.

Connect, care, create: practical framework for physical environment design for person-centred palliative care.

This article aims to explore architectural-rich insights derived from users' experiences within everyday practice in palliative environments and provides a practical framework for healthcare organisations, architects and researchers involved in (re)designing palliative environments for person-centred care. An ethnographic study involving participatory observation was undertaken to gain insight into the influence of palliative environments on the diverse users' subjective experiences. This immersive research took place across multiple palliative environments, encompassing a palliative care unit, a day care centre for palliative care and a hospice located in Belgium. Also, informal conversations and photo-elicitation interviews were conducted with residents, family members, healthcare professionals, volunteers and maintenance staff. Analysing the subjective experiences yielded a practical framework of four architectural atmospheres (proximity, support, engagement, comfort) intended to serve as guiding principles for designing palliative environments. To shape these atmospheres, this article elaborates on 17 spatial aspects and aligns them with real-life experiences of users within palliative environments, thereby enriching and contextualising these insights. This study presents a practical framework encompassing atmospheres, spatial aspects and overarching insights. It is augmented by supplemental material featuring real-life user experiences, all directed towards guiding the design of palliative environments in pursuit of person-centred palliative care. This article advocates for a collaborative, interdisciplinary, holistic design approach that acknowledges these considerations' interconnectedness and considers the users' multiple perspectives. Ultimately, this approach serves as a means of bridging design intentions and actual experiences encountered by users in their real-life contexts to assist healthcare organisations and architects in creating environments for person-centred palliative care.

Attack-Dependent Adaptive Event-Triggered Security Fuzzy Control for Nonlinear Networked Cascade Control Systems Under Deception Attacks

This article investigates the issue of H∞ security output feedback control for a nonlinear networked cascade control system with deception attacks. First, to further reduce the amount of communication data, reasonably schedule network resources, and alleviate the impact of multi-channel deception attacks, an attack-dependent adaptive event-triggered mechanism is introduced into the primary network channel, and its adaptive triggered threshold can be adjusted according to the random attack probability. Secondly, the output dynamic quantization of the secondary network channel is considered. Then, a novel security cascade output feedback controller design framework based on the Takagi–Sugeno (T-S) fuzzy networked cascade control system under deception attacks is established. In addition, by introducing the Lyapunov–Krasovskii stability theory, the design conditions of the controller are given. Finally, the effectiveness and superiority of the proposed design strategies are verified by two simulation examples of power plant boiler–turbine system and power plant boiler power generation control system.

Cross-cutting integration of equity and diversity lens in public health: a novel approach of JACARDI

Abstract Issue/Problem Health inequities persist across European countries, impacting the distribution, prevention, and management of non-communicable diseases. With increasing population diversity and improved understanding of the intersectional nature of drivers of health inequities, narrowing inequities calls for systematic integration of diversity perspectives into equity-driven policy and practice. Description of the problem The EU-co-funded Joint Action on CVDs and diabetes (JACARDI, 11/2023-10/2027) project with 76 partners from 21 countries and 142 national-level projects (later pilots), applies a structured approach for integrating equity and diversity perspectives within all project structures. This is achieved through design of a common methodological framework and terminology glossary for all thematic work packages (WPs) and their pilots, which are further supported through capacity building sessions and consultations. Results The “4Cs” framework (Critical reflection; Context and data; Co-design; and inclusive and accessible Communications) for integrating equity and diversity principles in JACARDI was developed based on results of focus group interviews with WP leaders (n = 24) and review of previous literature. This framework was applied as a lens to be applied in the planned activities by WPs and pilots, elaborated in an equity and diversity maturity matrix aligned with the XV methodological steps for pilot implementation. Additionally, equity and diversity indicators were integrated into harmonized context analysis questionnaires for national focal points of each partner country, as well as into the methodology for pilot assessment and reporting. Lessons Equity and diversity perspectives should be integrated into the core structures of project implementation, supported by practical tools, trainings and practical consultations to improve adherence and collaborative understanding across project partners. Key messages • Equity and diversity integration into core structures are essential for tackling health inequities and the NCD-related social gradient in Europe. • Encouraging critical reflection among JACARDI partners is pivotal for initiating a paradigm shift towards equity and diversity inclusion.