Process Model Research Articles

The impact of electronic health literacy on emotional management ability among college students: the mediating roles of peer relationships and exercise self-efficacy

ObjectiveThis study aims to explore electronic health literacy’s impact on college students’ emotional management ability and analyze the chained mediating effects of peer relationships and exercise self-efficacy.MethodsThe study used stratified, cluster, and staged sampling methods to collect demographic information. Electronic health literacy, peer relationships, exercise self-efficacy, and emotional management ability data were collected among college students using the Questionnaire Star software. A total of 30,105 valid questionnaires were obtained, with a valid response rate of 98.7%. Using Process Model 6, investigated how electronic health literacy sequentially influences emotional management ability through mediators such as peer relationships and exercise self-efficacy.ResultsThere was a significant positive correlation between electronic health literacy and emotional management ability (r = 0.496, P < 0.01), between electronic health literacy and peer relationships (r = 0.226, P < 0.01), and between electronic health literacy and exercise self-efficacy (r = 0.180, P < 0.01). Peer relationships were significantly positively correlated with exercise self-efficacy (r = 0.142, P < 0.01) and emotional management ability (r = 0.396, P < 0.01). Exercise self-efficacy was significantly positively correlated with emotional management ability (r = 0.339, P < 0.01). Electronic health literacy significantly and positively predicted emotional management ability (β = 0.254, P < 0.001). There was a mediating effect of peer relationships between electronic health literacy and emotional management ability, accounting for 58.2% of the impact, 95%CI: [0.036,0.042]. Exercise self-efficacy also mediated the relationship between electronic health literacy and emotional management ability, accounting for 61.5% of the effect, 95%CI: [0.022,0.027]. Moreover, a chained mediating effect of peer relationships and exercise self-efficacy was observed between electronic health literacy and emotional management ability, accounting for 17.1% of the effect, 95%CI: [0.004,0.005].ConclusionElectronic health literacy among college students can positively predict emotional management ability. Both peer relationships and exercise self-efficacy play a chained mediating role between electronic health literacy and emotional management ability.

A novel trace-based sampling method for conformance checking

It is crucial for organizations to ensure that their business processes are executed accurately and comply with internal policies and requirements. Process mining is a discipline of data science that exploits business process execution data to analyze and improve business processes. It provides a data-driven approach to understanding how processes actually work in practice. Conformance checking is one of the three most relevant process mining tasks. It consists of determining the degree of correspondence or deviation between the expected (or modeled) behavior of a process vs the real one observed and revealed from the historical events recorded in an event log during the execution of each instance of the process. Under a big data scenario, traditional conformance checking methods struggle to analyzing the instances or traces in large event logs, increasing the associated computational cost. In this article, we study and address the conformance-checking task supported by a traces selection approach that uses representative sample data of the event log and thus reduces the processing time and computational cost without losing confidence in the obtained conformance value. As main contributions, we present a novel conformance checking method that (i) takes into account the data dispersion that exists in the event log data using a statistic measure, (ii) determines the size of the representative sample of the event log for the conformance checking task, and (iii) establishes selection criteria of traces based on the dispersion level. The method was validated and evaluated using fitness, precision, generalization, and processing time metrics by experiments on three actual event logs in the health domain and two synthetic event logs. The experimental evaluation and results revealed the effectiveness of our method in coping with the problem of conformance between a process model and its corresponding large event log.

Integrating solid oxide fuel cell and vapour absorption cooling with MSW gasification: process modelling and exergo-enviro-economic analysis

Integrating solid oxide fuel cell and vapour absorption cooling with MSW gasification: process modelling and exergo-enviro-economic analysis

Interaction Between Concrete and FRP Laminate in Structural Members Composed of Reused Wind Turbine Blades Filled with Concrete

The lifecycle of wind turbine blades is around 20–25 years. This makes studies on the reuse of dismantled blades an urgent need for our generation; however, their recycling is very difficult due to the specific makeup of their composite material. In this study, the authors determined a concept for the reuse of turbine blade sections filled with concrete for geotechnical structures, retaining the walls, piles, or parts of their foundations. Working out detailed structural solutions to the above problem should be preceded by the identification of material parameters. In particular, getting to know the interface stress-strain characteristics is crucial. Therefore, this research focuses on the cooperation between recycled FRP composites and concrete in load-carrying, including experiments and numerical analyses. Regarding the two types of destructive stress, which may occur at the interface under both compression and bending, two types of tests were executed: the ‘push-out test’, modelling the interface’s answer to shear stress, and the ‘pull-off test’, demonstrating the interface’s reaction to normal stress. Additionally, the strength parameters of the materials used were tested. The numerical model for the push-out process was calibrated on the basis of the tests, and this way the shear bond strength and the coefficient of friction between the concrete and the recycled FRP laminate were assessed.

Landslide susceptibility mapping using combined geospatial, FR and AHP models: a case study from Ethiopia’s highlands

This study performed landslide susceptibility mapping in Awabel Woreda, situated in the east Gojjam zone of the Amhara region in Ethiopia. The occurrence of landslides and slope instability is widespread in Awabel Woreda, leading to the devastation of agricultural fields, crops, and residences, the demise of animal life, and the forced relocation of local inhabitants from their dwellings. The present investigation utilized remote sensing and GIS techniques in conjunction with the Frequency Ratio (FR) and Analytical Hierarchy Process (AHP) models to map landslide risk zones. For the landslide susceptibility mapping of this study, nine causative factors, such as “elevation, slope, aspect, drainage density, lineament density, land use and land cover (LULC), soil texture, rainfall, and lithology”, were considered. A total of 130 past landslide events were identified via field survey and Google Earth image, of which 70% (91) of them were used as training datasets and 30% (39) were used as validation datasets of the proposed models (i.e., FR and AHP). The nine contributing variables and their classes were evaluated, and factor weights were computed using the IDRISI Selva 17.0 expert programme. The landslide susceptibility indexes (LSI) of the FR and AHP models were calculated and categorized into five relative zones using ArcGIS 10.7. The landslide susceptibility map (LSM) produced by the FR model shows that 93.2 km2 (14.52%) of the study area is classified as very low susceptibility, 167.51 km2 (26.09%) as low susceptibility, 174.10 km2 (27.12%) as moderate susceptibility, 137.03 km2 (21.34%) as high susceptibility, and 70.30 km2 (10.93%) as very high susceptibility to landslides. Based on the AHP model's LSM, different landslide susceptibility zones were identified in the study area. Specifically, 140.46 km2 (21.88%) of the region falls into the very low susceptibility zone, 116.78 km2 (18.59%) falls into the low susceptibility zone, 147.94 km2 (23.04%) falls into the moderate susceptibility zone, 154.04 km2 (23.99%) falls into the high susceptibility zone, and 82.78 km2 (12.89%) falls into the very high susceptibility zone. The validation investigation demonstrated that the FR and AHP models had accuracy rates of 89.73 and 87.18%, respectively. The FR model exhibited marginally more accurate results than AHP, primarily because of the direct correlation between previous and current occurrences of landslides. Nevertheless, the AHP model’s effectiveness relies on the individual’s expertise and the characteristics of the components that cause the outcome. The landslide susceptibility maps generated through these models provide valuable insights for land management and disaster mitigation efforts, with delineated zones indicating very low to very high susceptibility areas.

A Conditional Indirect Effects Analysis of Intimate Partner Violence, Depression, Social Support, and Race With Alcohol Consumption among Postpartum Mothers.

Alcohol use and alcohol-related mortality for pregnant and postpartum women have increased, and there are racial disparities in both alcohol consumption and pregnancy outcomes. In addition, data indicate that women of Color are more likely to experience many forms of violence and face more adverse consequences from violence than non-Hispanic White women. Therefore, the current study examined how the direct and indirect pathways between intimate partner violence (IPV), depressive symptoms, and alcohol consumption are moderated by both social support and race among postpartum women. In 2022, a cross-sectional survey was administered to participants across the U.S., including 503 postpartum mothers. Participants responded to a survey battery assessing three social support strategies (appraisal support, belonging support, and tangible support), IPV, depressive symptomology, race, and alcohol consumption. A conditional process model was specified to examine the multifaceted direct and indirect relationships between IPV, the three aspects of social support, depressive symptomology, race, and alcohol consumption among postpartum mothers. Postpartum mothers experiencing violence consumed more alcohol, and depressive symptoms partially accounted for this relationship; however, some pathways were conditional upon either social support or race. For instance, women of Color who experienced violence consumed more alcohol than White women who experienced violence. Also, the protective effects of Appraisal Support in relation to depressive symptoms was stronger for White women than women of Color, while higher Belonging Support was more protective against alcohol consumption for women of Color than White women. Each social support approach contributed unique insights into the multidimensional nature of these relationships, shedding light on potential therapeutic targets for prevention-intervention efforts utilizing social support as a key buffering mechanism.

The effect of cyberbullying victimization, traditional bullying victimization and suicidal ideation among college students: do specific affective problems play a mediate role?

BackgroundSuicidal ideation among college students and adolescents represents a significant public health issue worldwide. Research has indicated that emotional difficulties may mediate the relationship between bullying victimization and suicidal ideation. However, insights from Thomas Joiner’s interpersonal theory and Klonsky’s The Three-Step Theory suggest that suicidal ideation arises not merely from emotional distress but from the interplay of hopelessness along with these emotional challenges. Therefore, this study aims to investigate whether variouse affective problems mediated the relationship between bullying victimization and suicidal ideation among college students.MethodsIn this study, we utilized a convenience sampling method to collect data from 2717 college students (mean age = 19.81 years, 22.49% male) in South China. We examined the relationships between variables using Spearman’s correlation analysis. To analyze potential mediation effects, we employed PROCESS model 4 within SPSS.ResultsOur findings revealed that different forms of bullying victimization can predict experiences of depression, anxiety, and social anxiety. However, these emotional responses did not significantly influenced suicidal ideation among college students. Additionally, while different forms of bullying victimization did not directly correlate with feelings of hopelessness, hopelessness was closely associated with the prevalence of suicidal ideation. Furthermore, our results highlighted a significant mediating role of psychiatric prodromal experiences in the relationship between different forms of bullying victimization and suicidal ideation.ConclusionsThe results suggested that affective problems may not serve as a significant mediating factor in the relationship between bullying victimization and suicidal ideation. We proposed an integrated emotion-response model that enhances understanding of suicidal ideation among college and offers a framework for more effective prevention strategies.

Norwegian adaptation of the Quality in Psychiatric Care – In-Patient instrument: psychometric properties and factor structure

BackgroundValidated instruments measuring the quality of mental healthcare from patients’ perspectives are scarce, and available instruments have been requested. One of the few instruments measuring the quality of care from a patient’s perspective is the Swedish Quality in Psychiatric Care–In–Patient (QPC-IP). This cross-sectional study aimed to translate and adapt the QPC-IP instrument for a Norwegian context and assess its psychometric properties.MethodsThe QPC-IP was translated and adapted to a Norwegian context using a translation back-translation process model. A total of 169 inpatients from specialised mental health services responded to the questionnaire. The QPC-IP comprises six dimensions: Encounter (eight items), Participation (eight items), Discharge (four items), Support (four items), Secluded Environment (three items), and Secure Environment (three items), totalling 30 items. Confirmatory factor analysis was conducted to assess the instrument’s factor structure. Additionally, Cronbach’s alpha was used to establish the instrument's internal consistency.ResultsThe results indicated that the Norwegian adaptation of the QPC-IP possesses good psychometric properties, including internal consistency, content, and construct validity, as confirmed by the confirmatory factor analysis results. The confirmatory factor analysis demonstrated an adequate fit for the six-factor structure, consistent with the original Swedish instrument.ConclusionsThe QPC-IP is a user-friendly and easily implementable tool that assesses various dimensions of the quality of inpatient mental healthcare from a patient’s perspective. Moreover, the Norwegian QPC-IP holds potential for use in comparative, cross-cultural studies within mental healthcare services to monitor the quality of the provided services.

Pattern integration and differentiation: dual process model of episodic memory

Abstract The role of precise timing in episodic memory remains obscure. We showed 139 participants episodes consisting of objects, and tested subsequent memory for the precise timing and order of the objects and episodes. Temporal compression of the episode enhanced memory for relative but not absolute timing of the objects’ presentation and their order. Conversely, temporal expansion between neighboring episodes was associated with successful memory for episode order. fMRI in 36 participants revealed that temporal compression of the episode was associated with more similar activation patterns within episodes in several brain regions including the posterior hippocampus. On the other hand, the activation pattern in the anterior hippocampus and other brain regions became more unique with temporal expansion between neighboring episodes. We propose that human episodic memory relies on two fundamentally opposite processes; pattern integration helps strengthen the relationship between the items that make up an episode, and pattern differentiation keeps different episodes apart.

Diurnal temperature variation in surface soils: an underappreciated control on microbial processes

Large diurnal temperature changes (ΔT) (or the diurnal temperature range (DTR)) in surface soils, ranging from 5°C to often greater than 20°C, are generally acknowledged to occur yet largely disregarded in studies that seek to understand how temperature affects microbially-mediated carbon and nitrogen cycling processes. The soil DTR is globally significant at depths of 30 cm or less, occurring from spring through summer in temperate biomes, during summer periods in the arctic, and year-round in the tropics. Thus, although temperature has long been considered an important factor in controlling microbial processes, our understanding of its effects remains incomplete when considering natural soil temperature cycles. Here we show: (1) documented impacts of diurnal temperature changes on microbial respiration rates; (2) documented observations of surface soils with large DTR (&amp;gt;5°C) that affect soil microbial mineralization rates and redox potentials of important biogeochemical reactions; and (3) direct evidence that the constant temperature regime typically used in laboratory soil incubation studies may therefore lead to mischaracterization of in situ temperature controls on microbially influenced processes in the environment. The overall effect is that the DTR yields process rates that are often higher than what has been observed under experimental mean temperature incubation. We suggest that overlooked genetic mechanisms, such as the presence of a circadian clock or thermophilic activity during summer months, are likely contributing to the observed effects of the DTR. To improve our understanding of climate change effects on soil greenhouse gas emissions, nutrient cycling, and other biogeochemical soil processes, we propose a paradigm shift in approach to temperature-inclusive process modeling and laboratory incubation studies that accounts for the important role of natural diurnal temperature fluctuations.

Stigmatization by an Authoritarian Government: Russian NGOs Under the 2012 Foreign Agents Law

Most organizational stigma research focuses on preexisting stigma, leaving largely unexplored the question of how the stigmatization process unfolds. The few studies on the stigmatization of organizations have not explored the dynamics between the stigmatizer and the stigmatized or the role of the government. I address these voids by explicating the process of top-down stigmatization of Russian NGOs after the passage of the 2012 foreign agents law. Through an inductive approach relying on archival data, online sources, and interviews, I uncover an authoritarian government’s deliberate stigmatization of select NGOs by assigning to them the resurrected historical label of “foreign agent.” I present a three-phase process model of stigmatization: stigmatizing label emergence, stigma enforcement and contestation, and stigma propagation. I also detail the iterative manner through which the government used burdening, isolating, and intimidating enforcement tactics and how the stigmatized organizations devised coping strategies: persist, adjust, dispute, and evade. The outcomes of the process were the broadening of the scope of targets and criteria for stigmatization and the NGOs’ destabilized existence. I highlight the critical roles of power imbalance, limited action by international authorities, and lagged media attention. I conclude by discussing how these findings may generalize beyond authoritarian regimes.

We Are Not Equipped to Identify the First Signs of Cyber–Physical Attacks: Emotional Reactions to Cybersecurity Breaches on Domestic Internet of Things Devices

The increasing number of domestic Internet of Things (IoT) devices in our lives leads to numerous benefits, but also comes with an increased risk of cybersecurity breaches. These breaches have psychological consequences for the users. We examined the nature of the psychological impact of cybersecurity breaches on domestic IoT by investigating emotional experiences in a scenario study (Study 1) and a field experiment (Study 2) using the five emotion components of the Component Process Model (CPM) and emotion regulation as a framework. We replicated a three-dimensional structure for emotional experiences found in a previous study, with an addition of an ancillary fourth dimension in the second study. The first dimension represents emotional intensity. The second bipolar dimension describes constructive vs. unconstructive action tendencies. On the third dimension, also bipolar, cognitive and motivational emotion features are opposed to affective emotion features. The fourth dimension, labeled distress symptoms, mainly reflects negative emotions. In Study 2, most of the introduced frequent irregularities on IoT devices were not noticed, and the intensity of emotional reactions and tendencies to react in a constructive way decreased throughout the phases of the experiment. These findings reveal that we are not emotionally equipped to identify potential threats in the cyber world.

RANKING OF CONSUMERS-REGULATORSELECTRICAL LOAD

It is shown that managing electricity consumption by regulating the power of consumer-regulators is an important factor in reducing the loads of industrial enterprises. It is shown that during peak hours of the power system, it is advisable to reduce the capacity of enterprises to level the overall schedule of electrical loads. The procedure for reducing the total load can be achieved by regulating the power consumption of consumers - regulators or by disconnecting them. To rank consumers-regulators, it is necessary to perform an optimization procedure. For the optimization procedure, we propose the use of combinatorial algorithms based on heuristic schemes for finding solutions. The method of finding the optimal list of such consumers using a genetic algorithm, a heuristic search method used to solve optimization and modeling problems by randomly selecting a combination and variation of the noise parameters using mechanisms similar to natural selection, is investigated. To solve the problem, a software model of the evolutionary process - the development of a certain population of individuals - is created. An algorithm is described that can be used to obtain the most optimal solution for the choice of consumers at an enterprise. The genetic algorithm is considered to solve the problem of selecting the composition of consumers at the lower level of the enterprise's power grid. In the process of selection, the functions of loss and number of switching are analyzed, which tend to minimize when searching for a solution. The program model of the evolutionary process includes the following stages: creation of the initial population; crossing; mutation. A detailed description of the genetic algorithm, its essence, and the principle of its application for load regulation by selecting the optimal consumer option for regulating the electric load are considered. The criteria for selecting the most optimal list of consumer-regulators are the functions of loss and the number of switching operations.

Resilience as a shield: self-efficacy and well-being in the face of exploitative leadership

PurposeEmployees' well-being has emerged as a critical issue in the software industry. Therefore, our study examines the detrimental effect of exploitative leadership on subjective well-being directly and through self-efficacy. We also investigate the buffering effect of resilience on this relationship using the conversation of resources (COR).Design/methodology/approachData were collected from 585 software industry professionals via two-way self-administered questionnaires. The proposed hypotheses were tested using Process Model 5.FindingsOur study confirms the negative effect of exploitative leadership on subjective well-being, both directly and indirectly via self-efficacy. Furthermore, the findings indicate that resilience reduces the negative effect of exploitative leadership on subjective well-being.Research limitations/implicationsOur study contributes to the existing literature on exploitative leadership by demonstrating its detrimental effects on employee’s subjective well-being. It also provides a more nuanced understanding of the unexplored relationship between exploitative leadership and subjective well-being by explaining the mediating role of self-efficacy and the moderating role of resilience.Practical implicationsPolicymakers and human resource practitioners may design training and development programs to promote morality and ethical behaviors. This will enhance employees' subjective well-being, aligning with SDG 3’s goal of ensuring healthy lives and promoting well-being for all.Originality/valueOur study provides a novel perspective by expanding the nomological network of exploitative leadership to include lower self-efficacy and subjective well-being. It also extends our understating of how resilient employees sustain their well-being under exploitative leadership.

An improved iterative predictive model for grinding residual stress considering material microstructure evolution

Abstract During micro-grinding, multiple abrasive grains on grinding wheel circulate on the workpiece causing alternating mechanical and thermal loads which result in microstructure evolution. The microstructure evolution affects the flow stress of the material, which in turn affects force and temperature. This paper thoroughly investigates the cyclic iterative mechanism and proposes an analytical model to predict micro-grinding induced residual stress. In this investigation, the flow stress model is developed considering temperature, strain, strain rate, yield stress, and material microstructure evolution, based on which, the micro-grinding force and temperature are calculated. On the basis, the evolution of grain size and phases transformation induced by force and temperature are calculated, in turn affected grinding force by flow stress. Then, the analytical model of residual stress is proposed incorporating the stresses induced by mechanical and thermal loadings as well as microstructure evolution. Moreover, the elastic or plastic deformation is determined according to Von Mises criterion with the developed plastic modulus model in stress relaxation process. Finally, the residual stress is measured to validate the improved iterative model. By comparing the traditional models, the results indicated that the developed cyclic iterative model obtain a higher accurate prediction of residua stress.

ADAPTIVE IMPULSE SYSTEM OF IMPACT FROM THE SURFACE ON THE NEAR-PRODUCTION ZONE OF THE OIL WELL

This article examines the functioning of an adaptive impulse system with an electro-hydraulic drive for influencing the near-bore zone of an oil well from the surface without stopping hydrocarbon production. Particular attention was paid to the definition of the structure and functions of the electrohydraulic drive of the pulse system, and the rational zone of operation of the implosion pulse generator was determined with the establishment of restrictions on its operation. The article presents a mathematical model of the implosive impulse process and a functional-logistic model of adaptation of the impulse system to the conditions of the working environment. The variant of the system layout with the installation of an implosion pulse generator on the pump unit for action from the surface on the near-breakout zone of the oil well was considered. The rational length of the implosion chamber was determined and the area of operation of the adaptive pulse system with the generation of rational values of water hammer pressure was established. The paper presents the results of the industrial approval of the adaptive impulse system with electrohydraulic control of the previous modification under the industrial conditions of Ukraine. The characteristics of the devices that were used in the process of industrial approval are given.

Thermal Decomposition Kinetics Analysis and Its Application to Cigarette Flavouring of Methyl Cyclopentenolone Succinate Menthol Diester

ABSTRACTMethyl cyclopentenolone succinate menthol diester (compound 5) was synthesised from methyl cyclopentenolone, menthol and succinic anhydride using dicyclohexylcarbodiimide (DCC) and 4‐dimethylaminopyridine (DMAP) methods. The thermal decomposition process and kinetic behaviour of the compounds were studied at various heating rates (10°C, 20°C, 40°C, 60°C and 80°C min−1) using thermogravimetry‐derivative thermogravimetry (TG‐DTG), Kissinger‐Akahira‐Sunose (KAS) method, Flynn‐Wall‐Ozawa (FWO) method and Coats–Redfern method. The research revealed that TG curves approached the high‐temperature end with increasing heating rates, and the peak temperature of heat loss rate on the DTG curves tended to rise, but the magnitude of the change was smaller than that of heating rate. The apparent activation energy (Ea) of thermal decomposition increased with the conversion rate. The Ea of compound 5 ranged from 77.65 to 154.05 kJ mol−1 and from 82.56 to 156.43 kJ mol−1 calculated by KAS and FWO, respectively. The thermal decomposition process models of the compounds were found to be one‐dimensional diffusion models (D1). The results of the kinetic compensation effect showed that the fitting result of the KAS method was better than that of the FWO method. Pyrolysis results indicated the production of aromatic substances such as methyl cyclopentenolone, menthol and esters. Additionally, the results of cigarette flavouring showed that the smoking quality of cigarettes was improved by adding compound 5. In summary, the findings of this study not only offer insights into the thermal decomposition and development of slow‐release flavours under heated conditions, but also provide valuable references for assessing the thermal stability and utilisation potential of various substances, including biomass.

Faking in Self‐Report Personality Scales: A Qualitative Analysis and Taxonomy of the Behaviors That Constitute Faking Strategies

ABSTRACTFaking in self‐report personality scales (SRPSs) is not sufficiently understood. This limits its detection and prevention. Here, we introduce a taxonomy of faking behaviors that constitute faking strategies in SRPSs, reflecting the stages (comprehension, retrieval, judgment, and response) of the general response process model (GRPM). We reanalyzed data from two studies investigating the faking of high and low scores on Extraversion (E) and Need for Cognition (NFC) scales (Data Set 1; N = 305) or on an E scale (Data Set 2; N = 251). Participants were asked to explain exactly what they did to fake, and their responses (N = 533) were examined via a qualitative content analysis. The resulting taxonomy included 22 global and 13 specific behaviors that (in combination) constitute faking strategies in SRPSs. We organized the behaviors into four clusters along the stages of the GRPM. The behaviors held irrespective of the construct (E or NFC), and with two exceptions, also irrespective of the data set (Data Sets 1 or 2). Eight exceptions concerning faking direction (high or low) indicate direction‐specific differences in faking behaviors. Respondents reported using not only different faking behaviors (e.g., role‐playing, behaviors to avoid being detected) but also multiple combinations thereof. The suggested taxonomy is necessarily limited to the specified context, and, thus, additional faking behaviors are possible. To fully understand faking, further research in other contexts should be conducted to complement the taxonomy. Still, the complexity shown here explains why adequate detection and prevention of faking in SRPSs is so challenging.

Analysis of the Transposition of the Modelling Process into Mathematical Activity at Qualifying Secondary Level

The aim of this article is to study the teaching of the object 'modelling process' to secondary school pupils in Morocco. We are interested in the conditions and constraints of its dissemination in the mathematics classroom. The analysis is based on the Anthropological Theory of Didactics and uses the modelling process model of (Chevallard, 1999) to characterise the praxeologies (Bosch and Gascon, 2005) relating to the modelling process. Downstream of the need for knowledge relating to mathematical modelling, this study enabled us to illustrate the claim to implement didactic praxeologies specific to the modelling approach. Setting up a real situation with these pupils enabled us to identify the influence exerted by the modelling praxeologies on the pupils' results and the influence of external intervention when they were faced with a modelling situation. As a result, we noted a discrepancy between the modelling taught in the mathematics classroom and that designed by the experts.

Integrating Innovation and Virtue: Strategic Responses of Private Organizations Amidst Environmental Shocks

Environmental shocks like the COVID-19 pandemic force private service sector organizations to innovate while upholding virtuous practices. How do these organizations balance innovating their service with maintaining their core values during crises? Through an inductive, longitudinal case study of Sri Sathya Sai Sanjeevani Hospital (SSSSH), a private healthcare organization offering free paediatric cardiac care in India, we explore how it responded to the pandemic. Drawing from archival data and field observations, we develop a process model demonstrating how SSSSH navigated the crisis by combining external innovation pressures with an internal culture of resilience, empathy and integrity. The model reveals an iterative process where external shocks catalyze internal virtuous responses, leading to adaptive innovations such as telemedicine and strategic resource utilization in resource-constrained environments. This dynamic interplay between external pressures and internal virtues challenges the traditional linear views of crisis management. It suggests that virtuousness embedded in an organization’s culture enables sustained innovation during extreme challenges. Our findings contribute to research on organizational responses to crises and the role of internal virtues in shaping adaptive strategies. This study advances the understanding of how private healthcare institutions can transform external challenges into opportunities while maintaining high standards of care and ethical responsibility.