Parameters for selecting biological features in multifunctional bio-inspired design: a convergent evolution approach.

Combining different biological features exhibiting different functions is necessary to generate uncommon and unique multifunctional bio-inspired conceptual designs. Different biological features independently evolve characteristics to solve the same need/necessity. This phenomenon is called convergent evolution. Without parameters, selecting a suitable feature from those that exhibit the same function and have the same geometric relevance becomes quite difficult. This research investigates and identifies the parameters that have the potential to support choosing the suitable biological feature and to support the multifunctional design concept generation. In this paper, parameters are hypothesized by studying the mechanisms of tissue formation responsible for generating structural features in a biological system. These parameters are used in the Expandable Domain Integrated Design (xDID) ideation model to aid designers in choosing and combining suitable biological features for multifunctional concepts. A case study is presented to validate the effectiveness of the parameters in the selection process .

Can ESG ratings promote green total factor productivity? Empirical evidence from Chinese listed companies.

Against the backdrop of frequent extreme climates and international consensus on green and low-carbon development, Environmental, Social, and Governance (ESG) has progressively drawn increasing attention. Integrating the perspectives of stakeholder theory and signaling theory, this study employed the Malmquist-Luenberger productivity index, fixed-effects regression model, mediating effect model, propensity matching score difference-in-differences model, and a two-stage least squares method. Using the research sample of Chinese A-share listed companies between 2011 and 2021, the mechanisms linking ESG ratings and each component (the individual scores of E, S, and G) with the green innovation and green total factor productivity (GTFP) of enterprises were investigated. This study conducted heterogeneity analysis integrating regional, industry, and enterprise dimensions, fully considered the potential endogeneity issues, and conducted multiple robustness tests by exploring alternative approaches, replacing the measures of indicators, and reducing the research sample. The results demonstrated that higher ESG ratings significantly improved the green innovation and GTFP of enterprises. This improvement was achieved through the stakeholders and signaling mechanisms, and was more prominent in economically underdeveloped regions, patent-intensive industries, and industries with lower environmental risk. In addition, the impact varied among enterprises with different property rights. The findings elucidate the pathways through which soft regulation influences micro-level corporate decision-making, making significant contributions to the literature. Furthermore, this study provides a theoretical foundation and policy reference for constructing a positive feedback loop mechanism for ESG ratings and promoting the green transformation and upgrading of enterprises.

Can carbon emission trading improve regional eco-efficiency? Based on the environmental innovation perspective.

This paper uses green innovation and environmental pollution as the mediating variables to construct a mediating effect model to investigate whether China's carbon emission trading policy can improve regional eco-efficiency by reducing regional environmental pollution and stimulating green innovation. This study is based on panel data from 30 provinces and municipalities directly under China's central government and autonomous regions from 2003 to 2019. The eco-efficiency of these provinces is measured using the super-efficiency DEA model and the difference-in-difference method (DID). The results show that (1) China's emission trading policy significantly improves regional ecological efficiency and the per capita GDP. The improvement can effectively improve regional ecological efficiency. (2) The mediating effect of green innovation and environmental pollution is significant. That is, China's carbon emission trading policy further improves regional ecological efficiency by stimulating more green innovation and reducing the synergy brought by environmental pollution. (3) There are differences in the feedback of this impact mechanism between different regions: It shows the characteristics of the western region being more significant than the eastern region. The central region has no significant effect. The research conclusion can provide a policy reference for the subsequent unified promotion of the construction of a carbon emission trading market nationwide and a theoretical basis for helping to achieve the "dual carbon" goal.

Mapping sustainable supply chain innovation: A comprehensive bibliometric analysis.

This comprehensive bibliometric study investigates Sustainable Supply Chain Innovation (SSCI) research, examining its evolution, identifying key contributors, and unveiling emerging trends. Analyzing 1158 English-language SSCI articles using the robust Scopus dataset exposes noteworthy journals, authors, institutions, and global contributions. The findings suggest a consistent increase in research output since 1999, with a notable surge in the past decade. Network analysis and density-based spatial clustering identified six SSCI research clusters: Sustainability and Responsibility in Business, Navigating Innovation and Disruption, Sustainable Business Strategies, Environmental Sustainability and Innovation, Sustainable Food Systems and Environmental Impact, and Sustainable Business Dynamics. These clusters highlight the diverse nature of the evolving Sustainability and Supply Chain Management (SCM) field, contributing to a thorough understanding of the SSCI research landscape and emphasizing interconnections between sustainability and SCM themes, potentially leading to more comprehensive theoretical models. Furthermore, this understanding aids businesses in anticipating emerging trends and implementing optimal practices in SSCI. Moreover, recognizing active institutions and global contributors provides practical insights for fostering strategic collaborations.

Well-being and dignity in innovative digitally-led healthcare for aged adults.

Dignity is a central value in care for aged adults, and it must be protected and respected. With demographic changes leading to an aging population, health ministries are increasingly investing in digitalization. However, using unfamiliar digital technology can be challenging and thus impact aged adults' dignity and well-being. The INNOVATEDIGNITY project aims to research new, dignified ways of engaging with aged adults to shape digital developments in care delivery. This qualitative study aimed to explore how innovative digitally-led healthcare have influenced aged adults' well-being and dignity through three studies conducted as part of the INNOVATEDIGNITY project: a scoping review, an empirical study and a policy analysis. The three documents were analysed to uncover meanings relevant to the research problem revealing four main themes: the advantages of new technologies in facilitating aged adults' well-being, the rupture of dignity due to bewilderment in the digital world, aged adults' dignity is affected by their worries about human face of care being replaced by technology and preserving aged adults' dignity in digitally-led healthcare. Digitalization in healthcare impacts aged adults' well-being as providing new opportunities for care, but preserving aged adults' dignity when working with unfamiliar digital innovations is challenging. Aged adults need to be informed about the use of technology in their care and supported to develop the necessary digital skills to better adapt to digitally-led healthcare. The circumstances, conditions and needs of individuals should remain central when implementing new technologies in healthcare settings in a dignified way.

The Radiation Therapy Technology Evidence Matrix: a framework to visualize evidence development for innovations in radiation therapy.

Clinical evidence is crucial in enabling the judicious adoption of technological innovations in radiation therapy (RT). Pharmaceutical evidence development frameworks are not useful for understanding how technical advances are maturing. In this paper, we introduce a new framework, the Radiation Therapy Technology Evidence Matrix (rtTEM), that helps visualize how the clinical evidence supporting new technologies is developing. The matrix is a unique 2D model based on the R-IDEAL clinical evaluation framework. It can be applied to clinical hypothesis testing trials, as well as publications reporting clinical treatment. We present the rtTEM and illustrate its application, using emerging and mature RT technologies as examples. The model breaks down the type of claim along the vertical axis and the strength of the evidence for that claim on the horizontal axis, both of which are inherent in clinical hypothesis testing. This simplified view allows for stakeholders to understand where the evidence is and where it is heading. Ultimately, the value of an innovation is typically demonstrated through superiority studies, which we have divided into three key categories - administrative, toxicity and control, to enable more detailed visibility of evidence development in that claim area. We propose the rtTEM can be used to track evidence development for new interventions in RT. We believe it will enable researchers and sponsors to identify gaps in evidence and to further direct evidence development. Thus, by highlighting evidence looked for by key policy decision makers, the rtTEM will support wider, timely patient access to high value technological advances.

Fostering Digital Life Skills Through Social Media With Adolescents in 6 German States: Protocol for an Accessibility Study According to the RE-AIM Framework.

BACKGROUND: Social media is essential in the lives of adolescents, with 97% of US teenagers engaging daily. While it facilitates communication, learning, and identity development, it also poses risks like harmful content exposure and psychological distress, particularly for adolescents in their critical developmental stage. Teaching digital life skills innovatively counters these risks, adapting traditional competencies such as decision-making, problem-solving, creative and critical thinking, communication, interpersonal skills, self-awareness, empathy, and emotional and stress management to digital challenges. OBJECTIVE: This study evaluates the accessibility of the "leduin" program, a novel intervention designed to impart digital life skills through Instagram. The program aims to leverage social media's educational potential, focusing on effective strategies to engage adolescents. Emphasizing accessibility is crucial, as it determines the program's overall impact. METHODS: The leduin program, developed through intervention mapping, applies behavior change techniques via social media for 9th and 10th graders. It is a 14-week spaced learning curriculum with daily sessions <5 minutes. Emphasizing the "reach" aspect of the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) model, the recruitment targets diverse educational settings across 6 German states, aiming for inclusivity. Recruitment will involve schools, youth centers, and therapeutic facilities. The study seeks at least 128 participants, a calculated minimum to detect medium-sized effects in the quasi-experimental design and explore varying engagement levels and program responses. Data collection includes preintervention, postintervention, and 6-month follow-up surveys, using multilevel regression, latent growth models, and qualitative analysis to extensively assess reach and gain first insights on effectiveness, acceptance, implementation, and maintenance. The study aims to reveal key factors influencing program participation and interaction; a detailed analysis of engagement patterns will reveal the effectiveness of the recruitment strategies and barriers to participation. Additionally, initial indications of the program's impact on life skills, social media-related skills, health status, risk behaviors, and academic performance will be analyzed. RESULTS: Recruitment was planned from May 2023 until the beginning of the leduin program in October 2023. As of March 2024, we have recruited 283 participants. CONCLUSIONS: The leduin program stands as an innovative and essential initiative in adolescent health promotion, harnessing the power of social media to teach important digital life skills. This study highlights the critical role of accessibility in the success of social media interventions. Effective adolescent engagement strategies are imperative, as they dictate the overall impact of such interventions. The insights gained from this study will be instrumental in shaping future programs, laying groundwork for a subsequent, more comprehensive cluster-randomized controlled trial. The study's design acknowledges the limitations of the current quasi-experimental approach, including the anticipated sample size and the absence of a control group, and aims to provide a foundational understanding for future research in this field. TRIAL REGISTRATION: Deutsches Register Klinischer Studien DRKS00032308; https://drks.de/search/de/trial/DRKS00032308. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/51085.

Recruitment, Retention, and Training of Citizen Scientists in Translational Medicine Research: A Citizen Science Initiative on Non-Alcoholic Fatty Liver Disease.

Citizen science is a participatory science approach in which members of the public (citizens) collaborate with scientists and professional researchers and become involved in research and innovation activities, resulting in the co-creation of scientific knowledge and innovation. Citizen science has been widely applied in research, particularly in the social sciences, environmental sciences, information and communication technologies, and public health. However, the application of this approach in clinical sciences, particularly in translational medicine research, is still nascent. This exploratory study involved members of the public (citizen scientists) in a translational medicine experiment on non-alcoholic fatty liver disease that incorporated a lifestyle and weight-loss intervention. The aim of this paper is to report successful methods and approaches for the recruitment, retention, and training of citizen scientists. For the citizen scientists' recruitment, online calls placed on the websites of our research project and biomedical research center and targeted emails were the most helpful. Of the 14 members of the public who expressed interest in our study, six were recruited as citizen scientists. Citizen scientists were mostly female (n = 5, 83%), white (n = 3, 50%), over 50 years of age (n = 4, 67%), educated to postgraduate level (n = 5, 83%), and either retired or not in employment (n = 5, 83%). The retention rate was 83% (n = 5), and the dropout rate was 17% (n = 1). We arranged instructor-led interactive online training sessions (an hour-long one-on-one session and two-hour group sessions). Research skills training covered ethics in research and qualitative and quantitative data analysis. Citizen scientists were given several incentives, such as reimbursement of travel and care costs, selection as citizen scientists of the month, publications of their blogs and perspective articles, and co-authorship and acknowledgement in papers and project deliverables. To conclude, members of the public (particularly middle-aged white women with postgraduate education) are interested in becoming citizen scientists in translational medicine research. Their retention rate is higher, and they can contribute to different research activities. However, they need training to develop their research skills and expertise. The training should be simple, comprehensive, and flexible to accommodate the schedules of individual citizen scientists. They deserve incentives as they work on a voluntary basis.

Promoting a Patient-Centered Understanding of Safety in Acute Mental Health Wards: A User-Centered Design Approach to Develop a Real-Time Digital Monitoring Tool.

BACKGROUND: Acute mental health services report high levels of safety incidents that involve both patients and staff. The potential for patients to be involved in interventions to improve safety within a mental health setting is acknowledged, and there is a need for interventions that proactively seek the patient perspective of safety. Digital technologies may offer opportunities to address this need. OBJECTIVE: This research sought to design and develop a digital real-time monitoring tool (WardSonar) to collect and collate daily information from patients in acute mental health wards about their perceptions of safety. We present the design and development process and underpinning logic model and programme theory. METHODS: The first stage involved a synthesis of the findings from a systematic review and evidence scan, interviews with patients (n=8) and health professionals (n=17), and stakeholder engagement. Cycles of design activities and discussion followed with patients, staff, and stakeholder groups, to design and develop the prototype tool. RESULTS: We drew on patient safety theory and the concepts of contagion and milieu. The data synthesis, design, and development process resulted in three prototype components of the digital monitoring tool (WardSonar): (1) a patient recording interface that asks patients to input their perceptions into a tablet computer, to assess how the ward feels and whether the direction is changing, that is, "getting worse" or "getting better"; (2) a staff dashboard and functionality to interrogate the data at different levels; and (3) a public-facing ward interface. The technology is available as open-source code. CONCLUSIONS: Recent patient safety policy and research priorities encourage innovative approaches to measuring and monitoring safety. We developed a digital real-time monitoring tool to collect information from patients in acute mental health wards about perceived safety, to support staff to respond and intervene to changes in the clinical environment more proactively.

A systematic review of articles influencing United States retail cheese packaging, labeling, and market trends related to cheese in the marketplace and cheese during consumption.

Innovation around cheese is constant in attempts to meet ever-increasing consumer demands. Retail packaging provides a canvas to communicate to consumers added value from innovations or inherent properties of cheese. Packaging itself may also be the subject of cheese-related innovation. This systematic review of literature organizes research over the past 10 years related to cheese packaging innovation that consumers experience in the marketplace and during consumption of cheese products. The review discusses shipping, displaying cheese at grocery stores, the value of branding, purchasing preferences by demographics, health and nutrition claims, opportunities to highlight protein in cheese, marketing to children, issues of obesity and cheese, diet cheeses, allergens and non-dairy or vegan cheese, opening cheese packaging, cutting of cheese, cooking with cheese, eating cheese, the growing trend of snacking and convenience, and flavor preferences. This review provides helpful insights to cheese producers applying findings from research of various styles of cheeses, cheese marketers communicating effectively to consumers, cheese developers designing new products relevant to recent consumer demands, smaller or specialized companies seeking to differentiate their cheese product through available technology and strategy, and cheese lovers or those with hobbies surrounding food wanting to know recent advancements in cheese packaging. This review is a tool for discovering relevant articles relating to cheese packaging in a marketplace and consumption setting to guide cheese and cheese packaging and labeling innovation in the United States.

How I GPT It: Development of Custom Artificial Intelligence (AI) Chatbots for Surgical Education.

Artificial Intelligence (AI) chatbots provide a novel format for individuals to interact with large language models (LLMs). Recently released tools allow nontechnical users to develop chatbots using natural language. Surgical education is an exciting area in which chatbots developed in this manner may be rapidly deployed, though additional work will be required to ensure their accuracy and safety. In this paper, we outline our initial experience with AI chatbot creation in surgical education and offer considerations for future use of this technology.

CONfidence: Developing an app to promote bladder and bowel health.

The CONfidence app was developed to address an unmet need for access to self-help advice and information for bladder and bowel incontinence. The app was developed by the Bladder and Bowel CONfidence Health Integration Team and Expert Self Care and this paper describes the evolution of this innovation to empower patients and the public with bladder and bowel leakage. The app is intended to provide a proactive approach to continence promotion and not replace formal healthcare. Crucial steps were identified to ensuring this resource was accessible and understandable for the intended audience including: input from national clinical experts and individuals with lived experience to co-produce content, clear definition of scope, technical expertise in app development, clear language avoiding jargon or medical terms, credibility assurance and a strategic plan for dissemination. The app is free to download and will remain so to ensure evidence-based continence advice can be in the palm of all with a smartphone. The CONfidence app has been downloaded approaching 7000 times and is in use in 10 countries. A continual effort is required to share this resource as disclosure of these symptoms is shrouded in secrecy and many people could benefit from its content.

How to solve novel problems: the role of associative learning in problem-solving performance in wild great tits Parus major.

Although problem-solving tasks are frequently used to assess innovative ability, the extent to which problem-solving performance reflects variation in cognitive skills has been rarely formally investigated. Using wild breeding great tits facing a new non-food motivated problem-solving task, we investigated the role of associative learning in finding the solution, compared to multiple other non-cognitive factors. We first examined the role of accuracy (the proportion of contacts made with the opening part of a string-pulling task), neophobia, exploration, activity, age, sex, body condition and participation time on the ability to solve the task. To highlight the effect of associative learning, we then compared accuracy between solvers and non-solvers, before and after the first cue to the solution (i.e., the first time they pulled the string opening the door). We finally compared accuracy over consecutive entrances for solvers. Using 884 observations from 788 great tits tested from 2010 to 2015, we showed that, prior to initial successful entrance, solvers were more accurate and more explorative than non-solvers, and that females were more likely to solve the task than males. The accuracy of solvers, but not of non-solvers, increased significantly after they had the opportunity to associate string pulling with the movement of the door, giving them a first cue to the task solution. The accuracy of solvers also increased over successive entrances. Our results demonstrate that variations in problem-solving performance primarily reflect inherent individual differences in associative learning, and are also to a lesser extent shaped by sex and exploratory behaviour.

Object Detection and Tracking with YOLO and the Sliding Innovation Filter.

Object detection and tracking are pivotal tasks in machine learning, particularly within the domain of computer vision technologies. Despite significant advancements in object detection frameworks, challenges persist in real-world tracking scenarios, including object interactions, occlusions, and background interference. Many algorithms have been proposed to carry out such tasks; however, most struggle to perform well in the face of disturbances and uncertain environments. This research proposes a novel approach by integrating the You Only Look Once (YOLO) architecture for object detection with a robust filter for target tracking, addressing issues of disturbances and uncertainties. The YOLO architecture, known for its real-time object detection capabilities, is employed for initial object detection and centroid location. In combination with the detection framework, the sliding innovation filter, a novel robust filter, is implemented and postulated to improve tracking reliability in the face of disturbances. Specifically, the sliding innovation filter is implemented to enhance tracking performance by estimating the optimal centroid location in each frame and updating the object's trajectory. Target tracking traditionally relies on estimation theory techniques like the Kalman filter, and the sliding innovation filter is introduced as a robust alternative particularly suitable for scenarios where a priori information about system dynamics and noise is limited. Experimental simulations in a surveillance scenario demonstrate that the sliding innovation filter-based tracking approach outperforms existing Kalman-based methods, especially in the presence of disturbances. In all, this research contributes a practical and effective approach to object detection and tracking, addressing challenges in real-world, dynamic environments. The comparative analysis with traditional filters provides practical insights, laying the groundwork for future work aimed at advancing multi-object detection and tracking capabilities in diverse applications.

Enhancing Dental Material Performance: Tung Oil-Infused Polyurea Microcapsule Coatings for Self-Healing and Antimicrobial Applications.

Within the realm of dental material innovation, this study pioneers the incorporation of tung oil into polyurea coatings, setting a new precedent for enhancing self-healing functionality and durability. Originating from an ancient practice, tung oil is distinguished by its outstanding water resistance and microbial barrier efficacy. By synergizing it with polyurea, we developed coatings that unite mechanical strength with biological compatibility. The study notably quantifies self-healing efficiency, highlighting the coatings' exceptional capacity to mend physical damages and thwart microbial incursions. Findings confirm that tung oil markedly enhances the self-repair capabilities of polyurea, leading to improved wear resistance and the inhibition of microbial growth, particularly against Streptococcus mutans, a principal dental caries pathogen. These advancements not only signify a leap forward in dental material science but also suggest a potential redefinition of dental restorative practices aimed at prolonging the lifespan of restorations and optimizing patient outcomes. Although this study lays a substantial foundation for the utilization of natural oils in the development of medical-grade materials, it also identifies the critical need for comprehensive cytotoxicity assays. Such evaluations are essential to thoroughly assess the biocompatibility and the safety profile of these innovative materials for clinical application. Future research will concentrate on this aspect, ensuring that the safety and efficacy of the materials align with clinical expectations for dental restorations.

IDEAL: Maintaining PHC-focused training in a MBChB programme through a COVID-induced innovation.

Responding to the need for authentic clinical training for students in the context of coronavirus disease 2019 (COVID-19), the Stellenbosch University Faculty of Medicine and Health Sciences developed an innovative 12-week longitudinal, integrated rotation for pre-final-year medical students, the Integrated Distributed Engagement to Advance Learning (IDEAL) rotation. This saw 252 students being placed across 30 primary and secondary healthcare facilities in the Western and Northern Cape provinces. With a focus on service learning, the rotation was built on experiences and research of members of the planning team, as well as partnership relationships developed over an extended period. The focus of student learning was on clinical reasoning through being exposed to undifferentiated patient encounters and the development of practical clinical skills. Students on the distributed platform were supported by clinicians on site, alongside whom they worked, and by a set of online supports, in the form of resources placed on the learning management systems, learning facilitators to whom patient studies were submitted and wellness supporters. Important innovations of the rotation included extensive distribution of clinical training, responsiveness to health service need, co-creation of the module with students, the roles of learning facilitators and wellness supporters, the use of mobile apps and the integration of previously siloed learning outcomes. The IDEAL rotation was seen to be so beneficial as a learning experience that it has been incorporated into the medical degree on an ongoing basis.Contribution: Longitudinal exposure of students to undifferentiated patients in a primary health care context allows for integrated, self-regulated learning. This provides excellent opportunities for medical students, with support, to develop both clinical reasoning and practical skills.

Heterogeneous relations among environmental regulation, technological innovation, and environmental pollution.

In this study, interprovincial panel data of China from 2011 to 2020 are selected and empirically examined to determine the effects of three types of environmental regulation tools: command-and-control, market-incentive, and public-participation types. Then, hierarchical regression analysis and instrumental variables are used to analyze and verify the mediating role of technological innovation. Results show no significant relationship between command-and-control regulation and environmental pollution, while market-incentive and public-participation regulations have a significantly negative inhibitory effect on environmental pollution and contribute to pollution reduction. In addition, product and process innovations play partially mediating roles between market-incentive regulation and environmental pollution and between public-participation regulation and environmental pollution, respectively, thus indicating that technological innovation is an effective way to reduce pollutant emissions. Compared with product innovation, process innovation has a better effect on pollution emission reduction but a smaller incentive effect under environmental regulation. This finding indicates that enterprise technology innovation and environmental regulation fail to achieve a suitable match for maximizing environmental benefits. Further analysis shows that the effects of the three types of environmental regulation tools on reducing pollution emissions vary in different periods and show significant changes around 2010. The effects of command-based regulation weaken, while those of the pollution abatement of market-incentive and public-participation regulations increase.

Innovation in the realm of the unforeseen: a review of competence needed.

Introduction: Our main research question in this article was: What are the competence structures for innovative processes? Both the nature of the unforeseen and innovation are related to something unknown, i.e., that competence needs to be developed to be able to handle situations and solutions that are not yet completely known. In our article, we address the question of how studies of innovation describe and use concepts of competence in various forms. Method: We performed a systematic review of the relation between the unforeseen and innovation. In this systematic review we followed the Non-Interventional, Reproducible, and Open (NIRO) Systematic Reviews protocol. The identification of studies via databases and registers was conducted in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyzes (PRISMA) statement. The various types of competence found in the literature review were grouped in such a way that we could develop a structure to use as the basis for a new concept of competence needed in order to initiate and implement innovative processes. We refer to this overview of different competence types as designated competence structures for innovative processes. The searches resulted in the following number of abstracts, respectively Web of Science (2997), ERIC (454), and PsycInfo (550), meaning that a total of 3,768 abstracts were found to be relevant. The 3,768 abstracts were imported into the program Covidence for screening in the first search. Results: After completing the evaluation process in accordance with the PRISMA checklist and flow diagram, 32 abstracts were found to be relevant for our research question as they were related to competence for the unforeseen and innovation. Conclusion: Few of the studies we investigated specifically mention competence. Another finding is that the innovation literature describes the activities that should take place linked to what it refers to as competence. Thus, the innovation research field does not define what the competence is or what it consists of, at either individual or group level, but rather describes the activities that contribute to successful innovation in an organization with little emphasis on how this competence should be developed. Training perspectives are lacking when it comes to innovation literature perspectives on competence.

Subject matter changes in the dental curriculum: A scoping review of the last two decades.

PURPOSE: In recent years, dental education has witnessed significant advancements and curriculum shifts in response to evolving healthcare needs, technological advances, and changing societal demands. As a result, dental universities worldwide have undergone substantial curriculum changes to ensure the adequate education and training of future dental professionals. The purpose of this study was to delineate the curriculum innovations over the past 20 years, with a focus on content within the current dental curriculum at universities worldwide. METHOD: The articles reviewed for this manuscript were published from 2000 to June 2023. Search queries were conducted in four databases: Embase, PubMed, Web of Science, and ERIC, yielding 367 unique studies. Of these, 31 were included in the final synthesis. RESULTS: The nine principal subject matter themes identified in the thematic analysis of these articles were critical scientific thinking, computational thinking, global mindset, geriatric dental care, interprofessional teamwork, transition to practice, local community, integration, and lifelong learning. The themes were modeled and mapped in a three-axis figure, elucidating the interconnections between the themes. CONCLUSION: The identified themes signify the trajectory that dental education has taken and provide insights into the future course of the dental profession.