Expert Survey Research Articles

Developing and validating a scale for English-medium instruction pedagogical competency in multilingual and multicultural classrooms

ABSTRACT This study aimed to create a scale that is better aligned with and tailored to the needs and perspectives of students for evaluating teachers’ EMI pedagogical competency in the multilingual and multicultural higher education context. Based on a literature review, a preliminary scale was developed. After an expert survey of six EMI experts to ensure face and content validity, exploratory and confirmatory factor analyses were conducted to validate the scale by examining its convergent validity, discriminant validity, and internal consistency. The result suggested that the scale was comprised of 22 items and 3 factors, viz., ‘general EMI pedagogical competency’, ‘adapt teaching to adjust for variation in culture and academic/linguistic ability’, and ‘boosting student involvement and positive affection toward EMI. The scale exhibited adequate reliability and validity and could be employed to evaluate tutors’ EMI competency in multilingual and multicultural classrooms. This study argued that in addition to possessing general EMI pedagogical competency, teachers should also develop additional competency related to widely-discussed student EMI anxiety and multilingual and multicultural backgrounds. This scale could serve as a framework for EMI professional development in the higher education sector, but also a tool enhancing teachers’ reflexivity in their EMI practice.

Basic personal values and vote choice in 20 European countries

Employing European Social Survey data (ESS Round 7) from 20 countries ( N = 20,464), we tested several pre-registered hypotheses regarding the associations between basic personal values—as conceptualized by Schwartz’ Values Theory—and vote choice in national elections. To operationalize vote choice, we relied on the Chapel Hill Experts Survey for expert ratings of party positioning on ideology, policy, and populism. Personal values, and particularly universalism, were associated with the cultural gal-tan (green-alternative-liberal vs. traditional-authoritarian-nationalist) dimension (8% shared variance) and the economic left-right dimension (4% shared variance). The associations with gal-tan were even stronger when the dimension was salient in the party agenda. Associations between specific policy positions (e.g., multiculturalism, redistribution) and values were very similar to those between values and ideology. Voting populist was weakly associated with lower universalism and higher security (1% shared variance). The associations were generally stronger among the more educated and in western European countries. Our results suggest that Universalism values could help explain why the “left” and the “gal” poles tend to go together and are also more generally consistent with accounts of political conflict and cleavage centered around cultural issues and rooted in values.

Development of Corporate University Evolution Scenarios

In the changing profile of corporate education and learning, corporate universities are a major force for aiding organizations to actively embrace technological change and upgrade their human capital. This study examines how corporate universities adapt their techniques to keep up with fast-changing technology, making the learning process universal yet personalized. This study also examines the linkages between corporate and traditional academic institutions in terms of strategy, aiming to produce a blending of theoretical knowledge with practical skills (Rhéaume & Gardoni, 2015; Prince & Beaver, 2001). Such combinations increase the relevance and applicability of education programs, helping them to achieve greater conformity with business objectives (Singh et al., 2019; Rademakers, 2001; Philipp et al., 2013). Twelve experts from large companies were chosen for two iterative foresight sessions. With this paper, we report the factors, which affecting the development of corporate universities and which were identified and ranked through a survey of experts (Dealtry & Rademakers, 2005; Rademakers, 2004). Moreover, these factors were combined into a matrix of development 15 scenarios, the main risks that could negatively affect the development of this phenomenon were identified and strategies were provided to prevent these threats. This study not only reflects the current trends of corporate university in the company but also lays the foundation for understanding the factors influencing companies’ development.

An overview of technological challenges in implementing the digital product passport in the textile and clothing industry

Abstract The textile and clothing industry is undergoing a shift towards a circular business model, driven by new European Commission regulations, which mandates that by 2030, textile products available on the European Union (EU) market must be recyclable and sustainable. To facilitate data collection, storage, and sharing throughout the entire product lifecycle and ensure product traceability and sustainability, the use of Digital Product Passports (DPPs) will be required. This article presents an analysis of the most commonly known digital data technologies from the perspective of their use in digital garment labelling, describing their advantages and limitations. The analysis is complemented by practical insights gathered from semi-structured interviews with garment producers in the Baltic Sea region. The survey revealed that producers prioritise sustainability and are prepared to digitise product information but are awaiting EU’s clear guidance. Despite the challenges posed by DPP implementation from the global, producer, and customer perspectives, upcoming regulations are seen as providing new competitive opportunities for products and services. Both the technology analysis and the expert survey indicate that QR (quick response)-based smart tags are potentially the most straightforward solution for the initial phase of DPP implementation.

How long is long enough? An international survey exploring practice variations on the recommended duration of maintenance therapy with PARP inhibitors in patients with platinum sensitive recurrent ovarian cancer and long-term outcomes

ObjectiveThere are no data, and thus no consensus, on the optimal duration of poly(ADP-ribose) polymerase (PARP) inhibitor maintenance therapy for exceptional responders (here defined as progression-free for 5 years or...

Investigating Media Populism Worldwide

ABSTRACT Growing evidence suggests that news media significantly contribute to disseminating, endorsing, or merely increasing the visibility of populist rhetoric. While a large amount of literature has focused on the type and volume of news coverage provided to populist actors and parties (populism through the media), there is more scarcity of knowledge regarding the media's orientation towards populism (populism by the media), partly due to a lack of systematic comparative evidence. To address this shortfall, we introduce a novel, large-scale comparative dataset, the Media Populism (M-POP) expert survey (including a website and a ShinyApp). This survey provides metrics for media populism across 38 national and subnational contexts globally, thereby offering an empirically grounded evaluation of the primary theoretical interpretations of media populism. In the article, we detail the dataset, evaluate the advantages and drawbacks of using an expert survey method, and conduct a systematic analysis of the determinants of media populism, particularly focusing on its right-wing manifestation, to validate our metrics. We then explore two empirical applications of the M-POP dataset in a comprehensive comparative manner, tackling key questions in political communication literature: the interplay between media populism and tabloid journalism, and the correlation between individual populist sentiments and media populism.

Risk assessment method for civil aircraft approach and landing at high plateau based on QAR data

Civil aircraft approach and landing at high altitude is a high-risk stage of plateau flight. In order to effectively implement the risk identification and grade judgment of approach and landing at high altitude, an LSTM-DNN deep learning risk assessment method based on variable fuzzy recognition with weights removed is proposed. This method is first based on the high-altitude flight data recorded by the quick access recorder (QAR), and draws on the civil aircraft flight quality monitoring project specification (FOQA) consultation notice and industry QAR monitoring standards. Combined with the indicator importance analysis and Delphi expert survey, five key monitoring items are extracted as the risk assessment indicators of civil aircraft approach and landing at high altitude, including large heading change during landing, low track, large descent rate during 2000-1000 ft approach, vertical acceleration at touchdown, and large descent rate during 500-50ft approach. Then, in order to overcome the subjective bias of the evaluation indicator weight, the weight of the evaluation indicator is determined by the weight removal method, and the risk grade membership function is constructed based on the variable fuzzy recognition method. Finally, a risk assessment model for civil aircraft approach and landing at high altitude based on LSTM-DNN is established. Taking the Chengdu-Lhasa approach and landing segment as an example, the QAR data was extracted to train and test the risk assessment model, and the results were compared with those of Logistic multivariate regression, support vector machine (SVM) and other evaluation methods. The results show that the average recognition rate of the LSTM-DNN deep learning model based on variable fuzzy recognition with weights removed reaches 94.18%, and the highest can reach 94.79%, which verifies the objective effectiveness of the risk assessment method.

An Inventory of Proposed and Enacted Sugar-Sweetened Beverage Policies at the State, Local, and Tribal Levels in the United States, 2014‒2023.

Objectives. To inventory and describe trends in proposal and enactment of US sugar-sweetened beverage (SSB) policies at state, local, and Tribal levels, 2014-2023. Methods. We systematically searched 6 policy databases in 2021 (updated May 2023) using SSB-related search terms, identifying additional policies through snowball and online searches and a survey of food-policy experts. We reviewed 10 821 policies for inclusion and quantitatively coded included policies. Results. The inventory included 400 (321 unique [i.e., excluding companion]) policies meeting criteria: 335 (256 unique) state-, 63 local-, and 2 Tribal-level policies. From 2014 to 2023, 11% of unique state-, 92% of local-, and 100% of Tribal-level proposed policies were enacted. Across jurisdictions, the most frequently proposed policies related to excise taxes, restaurant children's meals, nutrition standards, and the Supplemental Nutrition Assistance Program, while the largest proportions of enacted policies related to restaurant children's meals, nutrition standards, education, and procurement. More policies were proposed and enacted in California and New York than other states, and in 2017 (proposed) and 2016 (enacted). Conclusions. This comprehensive inventory of US SSB policies provides information to inform future SSB policy development and diffusion. (Am J Public Health. Published online ahead of print October 17, 2024:e1-e10. https://doi.org/10.2105/AJPH.2024.307855).

Development of Entrepreneurial Activity Using the Integration of Human Capital and Green Technologies to Optimize the Sustainable Development of the Tourism Sector (A Case Study of the Republic of Kazakhstan)

The development of the tourism sector faces serious challenges, which are related to its environmental transformation, digitalization, and integration of new technologies, as well as competitiveness. Tourists’ behavior is also changing. The future demand for tourism is likely to be driven by growing environmental awareness, increased use of digital services and new technologies, a shift towards a more personalized travel experience, and ensuring well-being and better engagement with local communities and culture. Meeting the requirements of the modern tourism industry is a problem not only for the Republic of Kazakhstan but also for other countries that strive for sustainable development of the tourism sector. The purpose of the study is to identify ways to develop entrepreneurial activity by integrating human capital and green technologies to optimize the sustainable development of the tourism sector. The paper examines the basic theoretical concepts of the essence and forms of sustainable tourism and presents the concept of the integration of human capital and green technologies to achieve the principles of sustainable development. Based on an expert survey, strengths, weaknesses, opportunities, and threats analysis, and statistical methods, the main ways of promotion and development of sustainable tourism, as well as measures to integrate human capital and green technologies into entrepreneurial activities in the tourism sector in the East Kazakhstan Region, have been identified. The authors have concluded that the introduction of green technologies and the integration of human capital with them provide new standards for the quality of tourist services while preserving the natural resources of the region.

행동기준 평정척도(BARS)를 적용한 대학생 핵심역량 측정도구 개발 및 타당화 연구: D대학의 의사소통역량을 중심으로

Objectives This study attempted to develop the core competency’s measurement tool and secure its validity by focusing on the D University’s communication capabilities and applying the behaviorally anchored rating scale based on experiences or behaviors closely related to students’ university education and life. Methods This study applied appropriate research methods according to a six-step’s systematic research procedure, including core competency analysis and competency modeling, analysis of behavioral characteristics of excellent students through FGI for professors and BEI for students, development of core competency’s measurement tool through expert council, validation through expert delphi survey, pilot test and analysis, and finalizations stage of system, definition, and measurement tool. Results The research results are as follows. First, the core competency’s system and definition with a high consistent were derived through a systematic competency modeling process. Second, the behavioral characteristics of hyperformers(high-performing students) were analyzed through interview with professors and students and reflected in the behaviorally anchored rating scale. Third, the core competency’s measurement tool(draft) with a high consistent were confirmed. Fourth, a core competency measurement tool(revised version) was tentatively derived by verifying its validity through two expert delphi surveys. Fifth, a pilot test was conducted to improve effectiveness of the core competency’s measurement tool, and reliability and validity were secured. Sixth, the finalizations stage was completed, and the system, definition, and measurement tool of core competencies were confirmed. Conclusions By developing a core competency’s measurement tool based on the behaviorally anchored rating scale focusing on D University’s communication capabilities and then revealing the process of securing reliability and validity, It could play a significant role in suggesting alternative methods to objectively measure the core competencies of each university.

Treatment Targets and Strategies for Eating Disorders Recovery: A Delphi Consensus With Lived Experience, Carers, Researchers, and Clinicians.

Long-term recovery rates following eating disorders (EDs) treatment remain low. This might be partly due to a lack of agreement between key stakeholder groups, including people with lived experience, carers, clinicians, and researchers, regarding optimal therapeutic targets and strategies. We aimed to reach a consensus across these diverse groups on the most valued treatment targets and strategies for fostering ED recovery. We used the Delphi method with two phases: (i) Survey development and (ii) Expert rating. The survey development phase included the design of an initial set of items through scoping review and feedback from a committee of 14 experts. During the survey rating, we engaged a larger panel of 185 experts who comprised the stakeholder groups: Individuals with lived ED experience (n = 49), carers (n = 44), researchers (n = 46), and clinicians (n = 46). Thirty-one targets and 29 strategies reached consensus (> 70% agreement over three rounds). Psychological-emotional-social targets including quality of life, sense of purpose, and emotion regulation, along with ED behaviors, reached the highest agreement (> 90%). Strategies reflecting an individualized approach to treatment (i.e., considering diversity, assessing comorbidities, and enhancing rapport) achieved the highest agreement (> 90%). Responses across groups were similar, except researchers leaning more towards consideration of weight- and eating-related targets. Holistic targets and individualized therapeutic strategies have consistent support from the different stakeholder groups involved in ED treatment. The agreed set of targets/strategies may be used, in triangulation with other sources of evidence, to design and evaluate coproduced and personalized interventions.

A functional trait-based assessment of urban street tree selection for Ethiopia

Urbanization in Ethiopia is rapidly reducing green space and biodiversity, and placing ecological stress on trees. Urban street trees (UST) can provide multiple ecosystem services, but need to cope with challenging street ecology and future climate risks. However, UST selection in Ethiopia is poor, and conventional trials and modern breeding are costly and time consuming to apply in Ethiopia. The main objective of the study was to identify potential UST species for two Ethiopian cities; Addis Ababa, and Arba Minch, by studying interspecific differences in functional traits. For the purpose, we created a database with list of 120 candidate UST gathered from multi-stakeholder workshop, literature review, and senior experts survey, and their ecological with their phenological and morphological features. Then we filtered 25 potential UST through framework analysis considering eco-morphological features of the trees. For the 25 species, we measured three types of plant functional traits: conservative traits (leaf mass per area and leaf dry matter content), acquisitive traits (leaf area, specific leaf area and leaf water content) and drought tolerance traits (leaf turgor pressure loss point, and leaf succulence index). Our results showed a strong trade-off between conservative and acquisitive traits, particularly between leaf dry matter content (LDMC) and specific leaf area (SLA) (r = −0.71), consistent with plant economic spectrum theory. Using PCA analysis, we identified three groups of potential USTs (Type I, II and III) that exhibit different adaptation strategies, consistent with Grime’s trait-based classification of universal plant adaptation strategies (CSR). Compared to species with high acquisitive traits (Type II and Type III), Type I species have high conservative and drought-tolerant traits shows better adaptation to harsh road environments, whereas Type II and Type III species may be more advantageous for urban parks and other resource-rich components of urban ecology. We also found significant variation in conservative, acquisitive and drought-tolerant traits among different species, indicating their different adaptation strategies. Our research advances the knowledge of plant adaptation in urban environments and provides a useful method for UST selection.

Formation of a Unified Educational Space of the Union State from the Perspective of the Policy of Patriotic Education

Introduction. Awareness of the commonality of geopolitical and civilizational challenges of the Russian Federation and the Republic of Belarus pushes for deepening integration cooperation in different directions. Close attention is paid to the problem of security, interpreted in an expanded way. Its provision correlates with the strengthening of the humanitarian dimension of the Union State, including the formation of a unified educational space. In modern conditions, its correlation with the consolidation of the policy of patriotic education in the integration field is being actualized. The purpose of the article is to identify the specifics of their coupling, taking into account the dynamics of union construction. Materials and Methods. The research is based on the methods of binary comparison, traditional and discourse analysis of official texts. An additional method is a formalized correspondence expert survey. The key materials are normative legal acts of the Russian Federation and the Republic of Belarus, interstate, intergovernmental and integration agreements, information content of the web resources of the Union State. The theoretical and methodological foundations of the research are a new political institutionalism, a multidimensional model of social action, and the paradigm of “political unification”. Results. The article describes the normative foundations of state policy in the field of education and integration guidelines in the cultural and humanitarian plane within the framework of the movement towards the Union educational space. The demanded categories of the axiological plan are revealed, referring to the relationship between education and upbringing. The key lines of discursive practices at the sites of the union institutions are shown. The understanding of the need to adapt education systems to the requirements of the time and the linking of patriotic education with the protection and preservation of common historical memory are emphasized. Discussion and Conclusion. The results of the study and expert assessments suggest the articulation of not only positive changes, but also urgent vectors for improving national approaches and integration solutions. They correspond to the elimination of conflicts, the development and adoption of new documents at the level of the Union State, the implementation of value categories and new areas of unified policy. The results obtained may be of interest to public authorities and union institutions, participants in patriotic education in the territory of the Union State.

Adaptation of digital gamification in professional education amid martial law challenges

Introduction: The growing interest within the scientific community in the potential of gamification in professional education during wartime drives the relevance of this research. Objective: The main aim of this article is to identify the significance of positive and negative factors in gamification in professional education and analyse their impact on the educational environment. Methods: The research used scientific literature analysis, statistical data analysis, and generalisation and systematisation to substantiate the main features and positive and negative aspects of gamification in professional education. To justify the feasibility of applying gamification elements in the Ukrainian context, an expert survey of lecturers was conducted, which allowed for the formation of weighted average indicators by criteria using Excel tools and the performance of a correlation SWOT analysis in the JASP program (Classical Correlation tool). Results: The analysis revealed that lecturers rate the advantages and opportunities of gamification higher than the challenges and threats. Positive effect include of gamification on the development of students' collaborative skills, engagement, and motivation, however, negative consequences the creation of unhealthy competition, reduced learning effectiveness, and the need for enhanced control over game elements. Conclusions: The research identified that the main aspects that will contribute to the effective integration of game elements into the learning process are an integrated approach, infrastructure reliability, flexibility, and adaptability of educational programmes, which will ensure the further development of approaches to student engagement and the enhancement of their motivation in the process of acquiring professional skills.

CHES Canada

Abstract The ideological and issue positions of parties are known to shape citizens’ political attitudes and voting behaviour. One important way to obtain estimates of parties’ positions is to ask experts to place parties on salient ideological dimensions. The Chapel Hill Expert Survey (CHES) has been collecting such estimates for democracies in Europe and elsewhere. CHES Canada adds to this project by providing estimates of party positions and characteristics of Canadian federal parties and provincial parties in Ontario and Quebec. This note introduces this new data source, clarifies how the data were collected and illustrates how the data can be used to (comparatively) study party politics in Canada.

Supply chain risk management for humanitarian aid delivery: risk identification and contingency analysis

PurposeHumanitarian organizations are responsible for delivering aid under diverse circumstances in various contexts. We argue that humanitarian organizations face specific challenges in their logistics and operations. Thus, adequate supply chain risk management is required to facilitate effective and efficient humanitarian aid delivery.Design/methodology/approachWe first identify potential supply chain risks in humanitarian aid delivery from the literature. We then utilize an expert survey to determine the probability and impact ratings of the identified risks, assessing the importance of six aggregated risk categories. To examine the influence of contingencies on a country, organization, and crisis level, we investigate the effect of ten contextual factors on the importance of different supply chain risks in humanitarian aid delivery.FindingsWe derive six relevant risk categories for humanitarian aid delivery and develop five propositions concerning criticality, context-sensitivity, relevant contingencies, and risk management approaches. Findings and propositions encourage and guide future research on the topic.Practical implicationsRisk identification and assessment support mission-specific decision-making. Our findings encourage and foster organizational learning between missions. A differentiated view of risk types allows for stronger inter-organizational collaboration within the sector and beyond.Originality/valueThis study is among the first to derive supply chain risks and categories specific to humanitarian aid delivery. Contingency analysis on a country, organization, and crisis level offers unique insights into risk management in humanitarian aid delivery.

Development of a self-assessment tool to evaluate the readiness of pharmacy departments for internship training in China: a two-phase study

ObjectivesInternships in the pharmacy departments of training hospitals represent a crucial stage in the professional development of pharmacy students. However, the quality of internship training varies significantly across training hospitals in China, and there is a lack of standardized readiness evaluation tools. Therefore, the purpose of this study was to develop a self-assessment tool to evaluate the preparedness of training hospitals for providing internship training.MethodsThis study employed an exploratory mixed-methods approach and was conducted in two phases. In the first phase, during 2021, focus groups were conducted with 16 interns from three tertiary hospitals in Henan Province. In 2022, 14 preceptors from tertiary hospitals in various provinces were interviewed either one-on-one or in focus groups. The interview data were analyzed using thematic analysis to compile a set of self-assessment indicators for internship training readiness. Subsequently, the initial draft of the self-assessment tool for internship training readiness was developed by integrating the indicators derived from the interviews and literature review. In the second phase, the Delphi method was utilized. In 2023, the experts participated in two rounds of correspondence (21 experts in the first round and 19 in the second round), and consensus was reached on the indicators of the self-assessment tool after the two rounds. Meanwhile, these experts assessed the current status of internship training in training hospitals across China.ResultsThe qualitative findings of the first phase included five themes and 22 sub-themes, which were integrated with the indicators derived from the literature review to develop an initial indicator framework for the second phase. This initial framework comprised five domains and 37 items. The second phase involved two rounds of expert surveys, with effective response rates of 90.48% and 89.47%, respectively. Ultimately, the self-assessment tool for evaluating the readiness of pharmacy departments in training hospitals for internships included five dimensions and 35 secondary indicators: (1) organizational structure, (2) training content, (3) training mode, (4) effectiveness evaluation, and (5) emergency management. Additionally, experts assessed the readiness of pharmacy departments in Chinese training hospitals for internships, yielding varied results. Emergency management preparedness scored the highest, followed by organizational structure and training content preparation. However, the modes of internship training and the evaluation of training effectiveness received lower scores.ConclusionThe developed tool provides a comprehensive self-assessment checklist for the pharmacy departments of training hospitals and possesses the potential to enhance the development of more effective internship training programs.

Numerical method for forming an alternative opinion in coalitions of highly qualified specialists using relative usefulness indicator

Subject of research: the formation of an alternative opinion in coalitions of highly qualified specialists. Purpose of research: development of a numerical method for the formation of an alternative opinion in coalitions of highly qualified specialists using a relative utility indicator and its subsequent implementation in the form of a computer program. Methods of research: survey, formalization, system analysis, correlation analysis, Hamming criterion, natural experiment, object-oriented programming. Main results of research: 1. The approach proposed by the author, based on combining methods of mathematical statistics and taking into account the individual competencies of experts, provides new opportunities for the formation of an alternative opinion in coalitions of experts and allows for increased efficiency in decision-making. 2. Verification of the developed numerical method was carried out using the example of a survey of police officers regarding violators of security systems in the field of critical information infrastructure. 3. A computer program has been developed that implements the created method. 4. The study revealed that the relative usefulness indicator of the j-th expert provides an opportunity to form alternative expert positions that have a reliable generalized opinion. 5. The practical significance of the work lies in the development of a computer program that can be used to conduct expert surveys and obtain reliable expert assessments based on them.

Designing usability/user experience heuristics to evaluate e-assessments administered to children

The application of electronic assessments (e-assessments) has increased, particularly among elementary-school-aged children. Paper-based assessments are frequently converted into digital formats for efficiency gains, with little thought given to their user experience (UX) and usability. Individual differences, particularly among young children, can inhibit test-takers from completing the assessment tasks that are not designed to match their needs and abilities. Consequently, studies have raised concerns about the generalizability and fairness of e-assessments. Whereas heuristic evaluation is a standard method for evaluating and enhancing the efficacy of a product with respect to a set of guidelines, more information is needed about its added value when designing e-assessments for children. This paper synthesizes heuristics on the basis of the literature and expert judgments to accommodate children's abilities for interacting with e-assessment platforms. We present a final set of 10 heuristics, validated and refined by applying a heuristic evaluation workshop and collecting 24 expert surveys. The results indicate that the derived heuristics can help evaluate the UX and usability-related aspects of e-assessments with 6- to 12-year-old children. Moreover, the present paper proposes recommendations for a framework for developing usability/UX heuristics that can be used to help researchers develop domain-specific heuristics in the future.

From ignorance to awareness: Quality of collaborative governance enhances public awareness of AMR

In representative democracies, the public administration plays a pivotal role in managing a myriad of public policies. While considerable knowledge exists regarding how public issue awareness influences political competition before policy enactment, its persistence in the administrative aftermath is characterized by much more uncertainty. This study addresses this puzzle within the challenging context of antimicrobial resistance (AMR) governance in Europe, posing the question: How does administrative governance shape public AMR awareness? Drawing on newly collected expert survey data from all EU member states and a recent Eurobarometer survey measuring behavioral aspects related to AMR (N = 26.502), the findings show that different aspects of administrative governance yield mixed results. Notably, there is a strong and positive relationship between the quality of collaborative governance and public awareness. These results underscore the critical role of administrative governance quality in understanding public behavior, particularly in the context of combating AMR.