Exemplary Model Research Articles

Promoting PLACE in Rural Schools: A Praxis Exemplary Model of Gifted Education in Rural Areas

Promoting PLACE in Rural Schools: A Praxis Exemplary Model of Gifted Education in Rural Areas

Unleashing the Power of Civil Society: Examining the Impact of the Saudi Green Building Forum in Advancing Eco-friendly Construction in Saudi Arabia

This paper delves into the role of civil society in propelling green building practices, one key to a sustainable future. It focuses on the Saudi Green Building Forum (SGBF) “in Consultative Status with the United Nations Economic and Social Council, since 2017” as a case study that illuminates how civil society organizations contribute to environmental stewardship, social equity, and economic prosperity in the construction sector. The concept of green building is traced from its origins through its global development, explicitly emphasizing notable examples from Gulf Cooperation Council (GCC) countries and Saudi Arabia. The paper reassures the audience by outlining the unique and robust alignment of SGBF’s initiatives and its support for the Sustainable Development Goals (SDGs), underscoring its commitment to global sustainability. The study presents a descriptive analysis based on desktop research, illustrating the transformative impact of civil society in promoting sustainable construction practices through the SGBF. Key aspects covered include the historical evolution of the green building movement, successful implementations of green building standards, and the activation of civil society institutions and organizations in driving sustainability. The paper showcases SGBF’s strategies and projects as exemplary models of civil society’s contribution to greening the built environment and fostering a sustainable future in Saudi Arabia and beyond. The objective is to inspire by highlighting civil society’s far-reaching impact on the construction sector’s environmental, social, and economic dimensions of sustainable development.

Self-DNA in Caenorhabditis elegans Affects the Production of Specific Metabolites: Evidence from LC-MS and Chemometric Studies

The worm Caenorhabditis elegans, with its short lifecycle and well-known genetic and metabolic pathways, stands as an exemplary model organism for biological research. Its simplicity and genetic tractability make it an ideal system for investigating the effects of different conditions on its metabolism. The chemical analysis of this nematode was performed to identify specific metabolites produced by the worms when fed with either self- or nonself-DNA. A standard diet with OP50 feeding was used as a control. Different development stages were sampled, and their chemical composition was assessed by liquid chromatography–mass spectrometry combined with chemometrics, including both principal component analysis and orthogonal partial least squares discriminant analysis tools. The obtained data demonstrated that self-DNA-treated larvae, when arrested in their cycle, showed significant decreases in dynorphin, an appetite regulator of the nematode, and in N-formyl glycine, a known longevity promoter in C. elegans. Moreover, a substantial decrease was also recorded in the self-DNA-fed adults for the FMRF amide neuropeptide, an embryogenesis regulator, and for a dopamine derivative modulating nematode locomotion. In conclusion, this study allowed for the identification of key metabolites affected by the self-DNA diet, providing interesting hints on the main molecular pathways involved in its biological inhibitory effects.

Performance of Machine Learning, Artificial Neural Network (ANN), and stacked ensemble models in predicting Water Quality Index (WQI) from surface water quality parameters, climatic and land use data

Assessing water quality is essential for managing freshwater resources, safeguarding ecosystems, and guaranteeing public health. Traditional water quality assessment methods suffer from seasonal sampling, multi-parameter requirements, and labor-intensive sampling processes, which are major constraints for the frequent monitoring of vast river basins. To overcome this issue, the study modeled the remote sensing-based climatic and land use parameters with Principal Component Analysis (PCA) to leverage Artificial Neural Networks (ANN) and machine learning (ML) algorithms to predict the Water Quality Index (WQI). The Weighted Arithmetic Water Quality Index (WAWQI) method was used to calculate the WQI of the Godavari River Basin for the available 19 stream water quality parameters (SWQPs). Further, PCA was applied to reduce the dimensionality of the parameters from 19 to 6. These results led to the development of two modeling methods to predict the WQI. In the first method, the correlation-based model was developed to predict WQI by evaluating six SWQPs. The second method, the causal-effect model, uses land use and meteorological factors to determine WQI using causality. Using advanced AutoML techniques, the initial pool of 40 ML models was meticulously evaluated and refined, culminating in the selection of the top three exemplary models such as Extreme Gradient Boosting (XGB), Extra Trees (ET), and Random Forest (RF). In both methods, XGB models show better prediction, with the coefficient of determination (R2) value of 0.95 during training and 0.83 during testing in method one. Whereas in the second method, R2 of 0.93 in training and 0.80 in testing are obtained. Further, XGB, ET, and ANN outputs were stacked with each model to enhance these results in both methods. Among these three stacked models, the stacked ANN_ML model performed better compared to stacked XGB_ML and stacked ET_ML. In the first method, the stacked ANN_ML model predicts R2 values of 0.95 and 0.91 for training and testing. In the second method, 0.95 and 0.90 for training and testing are obtained using stacked ANN_ML model. These findings emphasize the stacked model prediction ability to capture nonlinear relationships in the parameters and the novel approach of land use and climate parameters based WQI prediction, which replace the laborious, time-consuming SWQP measurements.

Reshaped Local and Systemic Immune Responses Triggered by a Biomimetic Multifunctional Nanoplatform Coordinating Multi-Pathways for Cancer Therapy.

Immunotherapy has fundamentally transformed the clinical cancer treatment landscape; however, achieving intricate and multifaceted modulation of the immune systems remains challenging. Here, a multipathway coordination of immunogenic cell death (ICD), autophagy, and indoleamine 2,3-dioxygenase-1 (IDO1) was achieved by a biomimetic nano-immunomodulator assembled from a chemotherapeutic agent (doxorubicin, DOX), small interfering RNA (siRNA) molecules targeting IDO1 (siIDO1), and the zeolitic imidazolate framework-8 (ZIF-8). After being camouflaged with a macrophage membrane, the biomimetic nanosystem, named mRDZ, enriched in tumors, which allowed synergistic actions of its components within tumor cells. The chemotherapeutic intervention led to a compensatory upregulation in the expression of IDO1, consequently exerting an inhibitory effect on the reactive oxygen species (ROS) and autophagic responses triggered by DOX and ZIF-8. Precise gene silencing of IDO1 by siIDO1 alleviated its suppressive influence, thereby facilitating increased ROS production and improved autophagy, ultimately bolstering tumor immunogenicity. mRDZ exhibited strong capability to boost potent local and systemic antitumor immune responses with a feature of memory, which led to the effective suppression of the growth, lung metastasis, and recurrence of the tumor. Serving as an exemplary model for the straightforward and potent reshaping of the immune system against tumors, mRDZ offers valuable insights into the development of immunomodulatory nanomaterials for cancer therapy.

Teacher Professional Development Through Writing Scientific Papers

Objektive: This research aims to develop teacher professionalism through the writing of scientific papers. Theoretical Framework: Professional teachers will be reflected in the implementation of the service of tasks characterized by the presence of expertise, both in materials and methods. In addition, it is also shown through his responsibility in carrying out all his devotion. Professional teachers should be able to bear and carry out their responsibilities as teachers to their learners, parents, society, nation, state, and religion. Professional teachers have personal, social, academic, moral, and spiritual responsibilities. Method: The design used in this research is descriptive qualitative. The data sources are 139 Indonesian language teachers from the Gorontalo Province. The research data consists of scientific papers written as part of the development of teacher professionalism, with the sources being 139 teachers. Data analysis is based on three processes, namely data reduction, data display, and verification, focusing on scientific papers to develop teacher professionalism. Results and Discussion: The teacher is one of the components of education in schools that has an important and strategic role. Among a number of competencies of professional teachers, the most important thing we emphasize is competence in learning management. A profession is a skill and authority in a certain position that requires certain competencies (attitudes, knowledge, and skills) specifically obtained from intensive academic education. In relation with that compiling scientific work is one of the forms of teacher professional development activities. Writing scientific papers for teachers is actually a basic necessity for developing their profession. Furthermore, the development of the ability to write scientific papers for teachers will have two main impacts, namely (a) teachers earn additional income from writing scientific papers if they are published in the mass media and win competitions and (b) teachers’ insight and understanding of the world of education and learning more deeply and comprehensively. Research Implications: This research has implications for increasing teacher professionalism through the writing of scientific papers. Teachers' ability to correctly write scientific papers significantly impacts their professionalism in teaching. Teachers will have better teaching skills if their scientific writing skills are also good. Additionally, teachers will serve as exemplary role models for their students in scientific writing. Originality/Value: This research significantly contributes to the improvement of teacher professionalism. Teachers with previously low professionalism can be continuously improved through their ability to write scientific papers. Gradually but surely, the persistent training in scientific writing will lead to increased professionalism. This professionalism is

Virtual Analysis and Optimization of Fuel Consumption for Diesel-Powered Buses

In this study, fuel consumption test cycles and commonly used SORT cycles for buses were discussed. An exemplary bus model was extensively modeled in terms of power systems. In ad-dition to main components such as the engine, transmission, torque converter, and axle, the drags of engine-powered components such as alternators, engine cooling fan, and air conditioning compressor were integrated into the powertrain model to ensure that the calculated consumption comes as close as possible to the real-life values. The tire model, which determines the quality standard in vehicle simulation, was also discussed in detail. During the modeling of these components, necessary parameters were obtained through analyses and tests conducted on the sample vehicle using the CAN bus and added sensors. After the completion of the model, real-life tests were conducted to validate the virtual analysis results. Once the model was validated, virtual studies continued to reduce the vehicle's consumption. Particularly during these studies, reducing consumption and enhancing performance through automatic transmission optimization were emphasized. When virtual models validated with SORT simulations are optimized with route-specific virtual analysis, public vehicles will minimize environmental impacts by reducing carbon emissions and at the same time perform more efficiently.

From college to university: A practical exploration of tertiary vocational education at Shenzhen Polytechnic University

The emerging phenomenon of tertiary vocational education is a category of education positioned within vocational education. In China, tertiary vocational education has passed through the stages of "associate degree level" and "permitted establishment". Shenzhen Polytechnic University (SZPU), serving as an exemplary model of tertiary vocational education, plays a pivotal role in providing valuable insights for the transformation and development of other vocational institutions in China. This research aims to collect policy documents from SZPU and, through interviews from multiple stakeholder perspectives, gain an understanding of the perceptions and experiences of those involved in tertiary vocational education. It conducts an in-depth analysis of SZPU's motivations, trajectory, challenges, impacts, and countermeasures in initiating undergraduate vocational programs. On this basis, the study compares the educational practices of other institutions offering tertiary vocational education, synthesizes the pedagogical rationale and developmental directions of this type of education at a theoretical level, and proposes empirical and feasible developmental strategies at a practical level.

The Industrial Design Model in Italy at the Stage of Formation. The Aemilia Ars Group

The article considers the formation of the industrial design model in Italy in the peculiarity of socio-political conditions at the turn of the 20th century. Orientated towards the prospects of the design industrial culture, the progress of new art tended towards two vectors of development: a strong influence of traditional heritage of the great classical past and passion for modern examples of European design schools. The design, formed within the boundaries of the Italian regional version of the Art Nouveau style, stile Liberty, became a product of a specifically Italian design and artistic culture with a strong designer’s original creative beginning. It allowed freedom of experimentation in the search for its own unique means of expression. The industrial model of design was determined by the experience of the great craft heritage in addition to the influence of the artistic traditions of the new style. The new “revival” of the artistic industry of Italy took place in symbiosis of the activities of an artist-designer and artistic craft and industrial production. The Aemilia Ars group, as a regional design and production association, became an exemplary model of industrial design in Italy. The multidisciplinary structure of the association, which included a collaboration of architects, designers, and artisans specialising in various areas of the art industry, allowed the implementation of interdisciplinary tasks: from architectural restoration to interior design solutions. The group was an example of a unique design culture focused on a scientifically based approach, regional craft artistic traditions and an original style of a creative experiment. The great design-artistic and technological heritage as well as design potential of the Aemilia Ars craft traditions can still be found in the practice of a number of local associations of embroiderers of modern Bologna.

Reckoning with COVID-19 denial: Brazil's exemplary model for global response.

In the aftermath of the coronavirus disease 2019 (COVID-19) pandemic in Brazil, accountability is crucial for those who denied the severity of the virus, spreading false information and causing harm. Some individuals have already faced legal proceedings against them, revealing economic motivations behind their actions. It is equally important to hold doctors accountable for prescribing ineffective treatments, putting the population at risk. The leaders of the denial movement and the federal government, who mishandled the pandemic, should be held accountable for the high death toll. Seeking justice from the legislative and executive branches is necessary, along with exemplary measures for those who spread misinformation about COVID-19.

Behind the budget: analysing the factors driving sustainable urban development financing in Spain

ABSTRACT This study addresses the factors that determine EU-funded resources in the context of urban development policies in Spain. The interplay of institutional capacity, prior inertia, and local characteristics emerge as determinant variables on Spanish urban financing dynamics. The analysis of the 121 funded cases in the 2021 Spanish call for sustainable urban development reveals the presence of specific local characteristics to be crucial in assessing funding. Stable small and medium-sized municipalities with previous funding experience are more likely to secure funding. The Spanish case emerges as paradigmatic, illustrating how current urban funding frameworks recognise cities with unique characteristics as exemplary models.

Exploring the Link Between Genetic Predictors of Cardiovascular Disease and Psoriasis.

The epidemiological link between immune-mediated diseases (IMIDs) and cardiovascular disease has often been attributed to systemic inflammation. However, the direction of causality and the biological mechanisms linking cardiovascular disease with IMIDs are incompletely understood. Given the robust epidemiological association and the growing body of supportive mechanistic evidence, psoriasis is an exemplary IMID model for exploring this relationship. To assess the bidirectional relationships between genetic predictors of psoriasis and the 2 major forms of cardiovascular disease, coronary artery disease (CAD) and stroke, and to evaluate the association between genetic predictors of cardiovascular disease with 9 other IMIDs. This was a genetic association study using mendelian randomization (MR), a powerful genetic tool to help distinguish causation from associations observed in epidemiological studies, to provide supportive evidence for causality between traits. The study conducted 2-sample MR analyses using summary-level data from large-scale genome-wide association meta-analysis studies (GWAS) for each trait. The analysis focused on individuals of European descent from GWAS meta-analyses, involving CAD, stroke, psoriasis, and 9 other IMIDs. Data were analyzed from January 2023 to May 2024. Genetic predictors of CAD, stroke, psoriasis, and 9 other IMIDs. The primary outcomes were the associations of genetic predictors of CAD and stroke with the risk of psoriasis and 9 other IMIDs, determined using inverse-variance weighted (IVW) MR estimates. This study included 181 249 cases and 1 165 690 controls with CAD, 110 182 cases and 1 503 898 controls with stroke, 36 466 cases and 458 078 controls with psoriasis, for a total of approximately 3 400 000 individuals, and 9 other IMIDs. In contrast to previous assumptions, genetic predictors of psoriasis were found to have no association with CAD or stroke. In the reverse direction, genetic predictors of both CAD (MR estimate IVW odds ratio [OR], 1.07; 95% CI, 1.04-1.10; P = .003) and stroke (IVW OR, 1.22; 95% CI, 1.05-1.41; P = .01) were found to have risk-increasing associations with psoriasis. Adjusting for stroke rendered the associations of genetically predicted CAD with psoriasis risk nonsignificant (and vice versa), suggesting that a shared effect underlying genetic risk for CAD and stroke associates with increased psoriasis risk. No risk-increasing associations were observed for genetic predictors of cardiovascular disease with other common IMIDs, including rheumatoid arthritis and inflammatory bowel disease. Findings of this mendelian randomization study indicate that genetic predictors of cardiovascular disease were associated with increased psoriasis risk with no reciprocal effect or association with other IMIDs. Elucidating mechanisms underpinning this association could lead to novel therapeutic approaches in both diseases.

Insights into physiological and biochemical responses of Zea mays L. under salinity stress

Growth of crops in the semi-arid and arid regions of the world is significantly affected by salinity stress. The present study investigated maize, which is a globally cultivated crop and known for its salt sensitivity. Widespread cultivation and notable characteristics of maize make it an exemplary model for investigating stress response. We analyzed maize plants morphological and biochemical responses under salinity stress at different intervals. Current results showed that under 100 mM NaCl stress, germination rate of maize seeds decreases up to 40% compared to their respective control non-stressed seeds. Additionally, prolonged exposure to salinity stress negatively impacted various physiological and biochemical aspects of maize plants including shoot/root length, leaf width, and chlorophyll contents, especially in plants treated with NaCl for 21 days. Furthermore, our findings showed that the NaCl stress triggered various enzymatic and non-enzymatic activities, including catalase (CAT), polyphenol oxidase (PPO), total polyphenol (TPP), and flavonoid in maize plants. However, maize plants respond differently to NaCl stress regarding protein content in different durations. This research underscores the urgent need for innovative strategies to mitigate salinity stress and food security for local maize varieties in saline regions and provides valuable insights to tackle these challenges.

An improved CRISPR and CRISPR interference (CRISPRi) toolkit for engineering the model methanogenic archaeon Methanococcus maripaludis

BackgroundThe type II based CRISPR-Cas system remains restrictedly utilized in archaea, a featured domain of life that ranks parallelly with Bacteria and Eukaryotes. Methanococcus maripaludis, known for rapid growth and genetic tractability, serves as an exemplary model for studying archaeal biology and exploring CO2−based biotechnological applications. However, tools for controlled gene regulation remain deficient and CRISPR-Cas tools still need improved in this archaeon, limiting its application as an archaeal model cellular factory.ResultsThis study not only improved the CRISPR-Cas9 system for optimizing multiplex genome editing and CRISPR plasmid construction efficiencies but also pioneered an effective CRISPR interference (CRISPRi) system for controlled gene regulation in M. maripaludis. We developed two novel strategies for balanced expression of multiple sgRNAs, facilitating efficient multiplex genome editing. We also engineered a strain expressing Cas9 genomically, which simplified the CRISPR plasmid construction and facilitated more efficient genome modifications, including markerless and scarless gene knock-in. Importantly, we established a CRISPRi system using catalytic inactive dCas9, achieving up to 100-fold repression on target gene. Here, sgRNAs targeting near and downstream regions of the transcription start site and the 5′end ORF achieved the highest repression efficacy. Furthermore, we developed an inducible CRISPRi-dCas9 system based on TetR/tetO platform. This facilitated the inducible gene repression, especially for essential genes.ConclusionsTherefore, these advancements not only expand the toolkit for genetic manipulation but also bridge methodological gaps for controlled gene regulation, especially for essential genes, in M. maripaludis. The robust toolkit developed here paves the way for applying M. maripaludis as a vital model archaeal cell factory, facilitating fundamental biological studies and applied biotechnology development of archaea.

Embracing sustainable development goals in B.Arch. design studio curriculum guideline through framework

PurposeThe Sustainable Development Goals (SDGs) were established by the UN in 2015 as an international call to action to end poverty, protect the environment, and ensure that everyone will live in peace and prosperity by the year 2030. (UNDP, 2015). Out of the 17 Goals, Goal 4 talks about “ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all.” The SDGs are essential to architectural education since buildings account for 40% of extracted materials used in construction and 39% of global energy-related carbon emissions. (Hendawy, 2023) To accomplish these objectives, the architecture curriculum must be up-to-date and efficient. It specifically takes into account the field of architecture. The purpose of this paper is to propose a framework for curriculum guidelines of B.Arch. design studios, focusing on the parameter designing for inclusivity (UIA2023CPH, 2020) of SDGs.Design/methodology/approachModels, approaches and theories of curriculum development are studied. An evaluation matrix is made to evaluate different curriculum framework for government colleges on their incorporation of SDGs. A survey/questionnaire and interviews with academicians from architecture are conducted to analyze the incorporation of SDGs in design studios and find recommended solutions for its incorporation.FindingsFinally, this research paper proposes a set of Architecture curriculum guidelines based on the evaluation framework for B.Arch. and an exemplary curriculum design model for the Architecture design studio which is evaluated through the desk critique stage for analyzing its functionality and applicability.Originality/valueDespite the emphasis on SDGs in the present scenario, the “Council Of Architecture (Minimum Standards of Architecture Education in India) Regulations, 2020” does not include or mention SDGs as a key aspect (Architecture, 2020).

Implementasi Pendidikan Karakter Islami di MTs Cijawura Kota Bandung

This research is motivated by student character problems that are often carried out in schools, including speaking rudely, borrowing things without being returned, stealing money, behaving disrespectfully to teachers and friends, and not being disciplined when entering school and doing assignments and so on. In addition, students still like to ridicule their peers and upperclassmen who have imperfections in their physicality, appearance, or inadequate academic potential. The purpose of the research is to find out the pattern of character development, habituation patterns, and exemplary practices carried out by school principals and teachers at MTs. Cijawura, Bandung City. The research method used is a qualitative (descriptive) method to find out the data and information needed to support the research in accordance with the previously set goals. The results of the first research, coaching. Principals and teachers always provide guidance in school activities and in daily learning. Second, habituation. Teachers as the vanguard in educating students' character in terms of habituation of daily attitudes. Third, example. The example conveyed to all students is a very fundamental thing in character or moral education. Principals, teachers, and staff always work together to provide exemplary models so that students can imitate the behavior of teachers so that they become good examples.

Structure Distortion Endows Copper Nanoclusters with Surface-Active Uncoordinated Sites for Boosting Catalysis.

The utilization of structure distortion to modulate the electronic structure and alter catalytic properties of metallic nanomaterials is a well-established practice, but accurately identifying and comprehensively understanding these distortions present significant challenges. Ligand-stabilized metal nanoclusters with well-defined structures serve as exemplary model systems to illustrate the structure chemistry of nanomaterials, among which few studies have investigated nanocluster models that incorporate structural distortions. In this work, a novel copper hydride nanocluster, Cu42(PPh3)8(RS)4(CF3COO)10(CH3O)4H10 (Cu42; PPh3 is triphenylphosphine and RSH is 2,4-dichlorophenylthiol), with a highly twisted structure has been synthesized in a simple way. Structural analysis reveals Cu42 comprises two Cu25 units that are conjoined in a nearly orthogonal manner. The dramatic distortion in the metal framework, which is driven by multiple interactions from the surface ligands, endows the cluster with a rich array of uncoordinated metal sites on the surface. The resulting cluster, as envisioned, exhibits remarkable activity in catalyzing carbonylation of anilines. The findings from this study not only provides atomically precise insights into the structural distortions that are pertinent to nanoparticle catalysts but also underscores the potential of structurally distorted NCs as a burgeoning generation of catalysts with precise structures and outstanding performances that can be tailored for specific functions.

Fostering the transition to viable supply chains under risk/disaster events: A hierarchical analysis framework

AbstractThis study examines the state of the art in research on risk/disaster operations management in supply chains (SCs) and closed loop SCs (CLSCs) from a viability perspective. In addition, it integrates key research elements that could act as enablers of more efficient evolution paths in SC/CLSC management. To this end, the existing literature is categorized according to the nature of the disruptive event (risk or disaster), the event formulation, the structure of SC network (SC/CLSC), the source of the disruptive event, the decision‐making level (strategic, tactical or operational), the aim of risk/disaster management (viability–sustainability) and the relevant treatment methods. The target of this literature taxonomy process is threefold: (a) literature analysis with respect to risk and disaster management in SCs; (b) the formulation of a framework for selecting the most suitable treatment policies to manage risk/disaster events at strategic, tactical and operational levels, with the aim of achieving transition to viable SC networks; and (c) the codification of a methodological approach when developing models for achieving viability. The latter is introduced by proposing a dynamic model as an exemplary model to explain the state evolution of an SC network governed by dynamics subjected to viability constraints and, also, to reveal regulatory feedback mechanisms to achieve desired states.

Two high-quality Prototheca zopfii genomes provide new insights into their evolution as obligate algal heterotrophs and their pathogenicity.

The genus Prototheca, characterized by its heterotrophic nature and pathogenicity, serves as an exemplary model for investigating pathobiology. The limited understanding of the protothecosis infectious disease is attributed to the lack of genomic resources. Using HiFi long-read sequencing, both nuclear and plastid genomes were generated for two strains of P. zopfii. The findings revealed a concurrent reduction in both plastid and nuclear genome size, accompanied by the loss of genes associated with photosynthesis, carotenoid oxygenase, basic leucine-zipper (bZIP) transcription factors, and others. The analysis of horizontal gene transfer revealed the presence of 1.37% and 1.49% bacterial genes, including malate synthase and isocitrate lyase, which play crucial roles in carbon and nitrogen metabolism, as well as pathogenicity and obligate heterotrophy. The two high-quality P. zopfii genomes represent valuable resources for investigating their adaptation and evolution as obligate heterotrophs, as well as for developing future prevention and treatment strategies against protothecosis.

The many features which make the eIDAS 2 Digital Wallet either risky or the ideal vehicle for the transition to post-quantum encryption

The amended Digital Identity Framework Regulation (“eIDAS 2″) is expected to be implemented by 2026, including its new solution of the Digital Identity Wallet from each Member State for its residents, citizens, and businesses. Widely used public key cryptosystems including those in the current EUDI Wallet prototypes are using electronic signatures and authentication that will need to be replaced by post-quantum resistant cryptography (PQC). In April 2024, the EU recommended general action by the Member States to prepare for quantum capability. We suggest that the European Digital Identity Wallet could be the starting point for an impactful debut of hybrid “quantum resistant” cryptography tools to align the Member States in the transition. We look at the awareness campaigns of ENISA and national cybersecurity authorities in the USA, Spain, UK and Germany on the transition to PQC using a hybrid approach. There seems to be some early consensus that NIST's PQC algorithms are likely to set the international standard. Given the eIDAS 2′s flexible, technologically neutral language, it allows the timely implementation of new secure encryption methods. The Wallet could be an exemplary model for large businesses, or app developers, and SMEs that also must transition to PQC to render secure those asymmetrically encrypted quantum-vulnerable digital assets. A very large and relatively fast uptake of the EUDI Wallet system is expected, and if it holds the promises of functionality, user friendliness, and security across the changing technological world, the EUDI Wallet's approach could become a benchmark for the transition to post-quantum capacity.