High Reliability Research Articles

Liquid-infused nanostructured composite as a high-performance thermal interface material for effective cooling

Effective heat dissipation remains a grand challenge for energy-dense devices and systems. As heterogeneous integration becomes increasingly inevitable in electronics, thermal resistance at interfaces has emerged as a critical bottleneck for thermal management. However, existing thermal interface solutions are constrained by either high thermal resistance or poor reliability. We report a strategy to create printable, high-performance liquid-infused nanostructured composites, comprising a mechanically soft and thermally conductive double-sided Cu nanowire array scaffold infused with a customized thermal-bridge liquid that suppresses contact thermal resistance. The liquid infusion concept is versatile for a broad range of thermal interface applications. Remarkably, the liquid metal infused nanostructured composite exhibits an ultra-low thermal resistance <1 mm² K W-1 at interface, outperforming state-of-the-art thermal interface materials on chip-cooling. The high reliability of the nanostructured composites enables undegraded performance through extreme temperature cycling. We envision liquid-infused nanostructured composites as a universal thermal interface solution for cooling applications in data centers, GPU/CPU systems, solid-state lasers, and LEDs.

Novel bilayered zirconia systems using recycled 3Y-TZP for dental applications.

To synthesize bilayer zirconia systems based on commercial or recycled 3Y-TZP obtained from non-milled remnants and to compare their optical and mechanical properties before and after aging. Bilayer zirconia samples were fabricated using either recycled 3Y-TZP (3Y-R/4Y and 3Y-R/5Y) or commercial powders (3Y/4Y and 3Y/5Y). Microstructure and phase composition were analyzed using ScanningElectronMicroscopy (SEM) and X-Ray Diffraction (XRD). Optical and mechanical properties were assessed via reflectance and biaxial flexural strength tests (BFS), followed by fractographic analysis. Optical properties and BFS data were analyzed using two-way ANOVA and Tukey test, and Weibull statistics, respectively. Recycled powder exhibited particle sizes < 2.07μm. SEM micrographs depicted dense surfaces with largest grains in the 5Y, followed by recycled-3Y, 4Y, and commercial-3Y. XRD analysis revealed tetragonal peaks in commercial and recycled 3Y-TZPs, and tetragonal and cubic phases in the 4Y and 5Y surfaces. Aging induced significant phase transformation in 4Y (∼40 %), commercial- (58 %) and recycled-3Y (53 %), with no effect in 5Y surfaces. Commercial bilayers exhibited higher translucency and strength (∼1130 MPa) compared to recycled bilayers (∼935 MPa), with no significant differences within commercial, nor within recycled groups. Aging decreased contrast ratio for recycled groups and increased the strength of all groups. While all groups presented high reliability up to 500MPa, commercial bilayers outperformed recycled systems at 800-MPa. The synthesis of bilayered systems using recycled-3Y was successful, resulting in high reliability in missions up to 500MPa. Bilayers based on commercial powder demonstrated superior translucency, strength, and reliability at 800MPa compared to their recycled counterparts.

Adaption and validation of the Greek version of Addenbrooke's Cognitive Examination III scale as a screening tool for perioperative cognitive impairment detection.

Postoperative cognitive dysfunction constitutes an extremely prevalent implication in individuals subjected to cardiac or non-cardiac surgery. This study aims to assess the validity and reliability of a culturally adapted Greek version of the Addenbrooke's Cognitive Examination III (ACE-III) scale as a screening tool for perioperative neurocognitive status determination in elderly surgical patients. A cross-cultural adaptation and validation of instruments throughout the a cross-sectional study was conducted. The study sample consisted of 128 individuals over 55 years old scheduled for surgical intervention. All participants were screened twice; at the preadmission clinic and the day before surgery using the already established MoCA scale and the culturally adapted Greek version of the ACE-III scale. Subjects with a MoCA score of < 26 constituted the cognitively impaired group. Regarding construct validity, ACE-III's performance in detecting cognitive impairment was excellent (AUC =0.942; 95%CI 0.899-0.971). Convergent validity between ACE-III and MoCA scales was excellent (r= 0.876; 95%CI 0.839-0.905). Known group validity was confirmed since advanced age and lower educational attainment adversely impacted ACE-III's total score (p<0.001). Additionally, specialists suggested face validity (mean 8.7 out of 10, SD 1.1). In terms of reliability, ACE-III demonstrated good internal consistency (Cronbach's alpha 0.786) and high inter-rater (ICC=0.936 [95%CI 0.921-0.941]) and test-retest reliability (ICC=0.972 (95%CI 0.958-0.981). The Greek version of ACE-III is a valid, and reliable screening tool that could be routinely employed perioperatively as a valid alternative to the MoCA test to distinguish the mild cognitively impaired from healthy elderly candidates for surgical interventions.

Experimental study and numerical simulation of tribological and mechanical properties of mullite and SiC ceramic matrix composite for journal bearing

This study presents a detailed analysis of mullite and SiC based ceramic matrix composites in comparison to traditional materials used in journal bearings. The research integrates experimental investigations and numerical simulations to analyze the tribological behavior and mechanical properties of these composites. The experimental analysis evaluates the frictional characteristics, wear resistance, microhardness, and thermal stability of mullite and SiC-based composites under conditions relevant to journal bearing applications, comparing them with traditional materials such as Bronze and Babbitt. Results show that the mullite-SiC composites demonstrate a lower friction coefficient of 0.15 and a wear rate of 0.002 g, significantly outperforming the traditional materials. To further understand the material behavior, computational models using finite element analysis simulated the stress distribution, deformation, and frictional characteristics at the bearing interface under varying operational parameters. It predicted no deformation in mullite-SiC composites after two hours of operation, with minimal deformation of 4.6191 mm observed after three hours. Stress analysis revealed uniform stress distribution across the composite, with a maximum stress of 2.93 MPa. Additionally, microstructural analysis using Scanning Electron Microscopy (SEM) identifies minimal abrasive wear and the absence of severe adhesive wear on the composite's surface. The average surface roughness along the wear surface was measured at 2.35 µm. Ultimately, the research outcomes aim to contribute significantly to the advancement of journal bearing technology, facilitating their application in diverse industrial settings where high performance and reliability are crucial requirements.

Snail Flap for Scalp Reconstruction: Technique and Outcomes.

Local flaps are widely described for scalp reconstruction, but there is minimal literature surrounding the snail flap. The objective of this study was to describe the surgical technique and outcomes of scalp reconstruction with the snail flap. This case series retrospectively evaluated all consecutive patients undergoing scalp snail flap reconstruction from January 1, 2019 to February 1, 2024. The primary outcome measure was incidence and extent of complications. Demographic and intra-operative variables were assessed. A total of 44 patients were included with a median age (range) of 74 years (27-88) with scalp defects ranging in size from 3 x 3 cm to 8 x 8 cm (median defect size 5 cm). The mean (SD) flap base-to-defect ratio was 1.82 (0.31). Forty (91%) of the cases were performed outpatient or with overnight observation only. Complications included 9 (20%) wound infections, 12 (27%) patients with necrosis (all minimal), and 2 (5%) patients with hematoma, which were all managed outpatient. The flap survival rate was 100%. The snail flap is easy to perform with high reliability and allows for hair preservation. The morbidity and need for hospitalization are minimal, making it an ideal reconstructive option for elderly or frail patients with moderate-sized scalp defects.

Analyzing Predictive Factors for the Media's Impact on the Nursing Profession.

Introduction: Mass media play a crucial role not only in informing the public but also in shaping public perception, educating, and enhancing the visibility of various professions, including nursing. Despite being the most populous healthcare profession, nursing remains underrepresented in media coverage. This imbalance affects the social status of the nursing profession and its public perception. Methods: This cross-sectional study utilized a validated questionnaire with high internal reliability (Cronbach's alpha coefficients) to assess nurses' perceptions of the media's role in society and the nursing profession. Data were collected from 203 participants using an online survey employing the snowball sampling method. Statistical analyses included Welch ANOVA, t-tests, and hierarchical regression to predict the importance of media education. Results: Participants demonstrated positive perceptions of the media's societal influence but identified a lack of adequate representation of nurses. Younger nurses and those with higher education levels emphasized the need for media education. Regression analysis revealed that perceptions of the media's power and self-assessed media competencies were significant predictors of valuing media education. Conclusions: The findings highlight the need for integrating media literacy training into nursing education to enhance professional visibility and public engagement. This can empower nurses to actively contribute to shaping their professional image and addressing public misconceptions. Future research should expand the sample size and explore diverse healthcare settings to validate these findings.

Reliability and construct validation of the Blended Learning Usability Evaluation–Questionnaire with interprofessional clinicians in Canada : a methodological study

Purpose: To generate Cronbach’s alpha and further mixed methods construct validity evidence for the Blended Learning Usability Evaluation–Questionnaire (BLUE-Q).Methods: Forty interprofessional clinicians completed the BLUE-Q after finishing a 3-month long blended learning professional development program in Ontario, Canada. Reliability was assessed with Cronbach’s α for each of the 3 sections of the BLUE-Q and for all quantitative items together. Construct validity was evaluated through the Grand-Guillaume-Perrenoud et al. framework, which consists of 3 elements: congruence, convergence, and credibility. To compare quantitative and qualitative results, descriptive statistics, including means and standard deviations for each Likert scale item of the BLUE-Q were calculated.Results: Cronbach’s α was 0.95 for the pedagogical usability section, 0.85 for the synchronous modality section, 0.93 for the asynchronous modality section, and 0.96 for all quantitative items together. Mean ratings (with standard deviations) were 4.77 (0.506) for pedagogy, 4.64 (0.654) for synchronous learning, and 4.75 (0.536) for asynchronous learning. Of the 239 qualitative comments received, 178 were identified as substantive, of which 88% were considered congruent and 79% were considered convergent with the high means. Among all congruent responses, 69% were considered confirming statements and 31% were considered clarifying statements, suggesting appropriate credibility. Analysis of the clarifying statements assisted in identifying 5 categories of suggestions for program improvement.Conclusion: The BLUE-Q demonstrates high reliability and appropriate construct validity in the context of a blended learning program with interprofessional clinicians, making it a valuable tool for comprehensive program evaluation, quality improvement, and evaluative research in health professions education.

Evolution of a patient safety program in an academic medical center

Background The Academic Medical Center earned a 1-Star CMS designation and received an F on the Leapfrog Safety Grade in 2015, which led to leadership setting Clinical Quality Improvement as the #1 Strategic Priority. This paper presents the evolution of a structured patient safety program as a component of this plan to direct and motivate employees to succeed in reducing patient harm. Methods Data-driven quality improvement using simple, timely, actionable data drillable scorecards available to all employees was the cornerstone of the above strategic priority. A comprehensive patient safety program was developed utilizing three phases: Error Prevention Training, Improved Event Reporting, and the Chasing Zero Harm initiative. Results Improvement was achieved in Culture of Safety Survey domains of overall safety, event reporting, nonpunitive response to errors, and hand-off communication. Patient safety indicators and hospital-acquired infections improved on the Medical Center's internal scorecard and public reported data by &gt;60%. These resulted in improvement in Leapfrog Safety Score from an F in 2015 to a B in 2023, and increase from CMS 1-Star to 2-Star rank in 2023. Adverse event reports and review with follow up increased by 45% between 2018 and 2023. A Chasing Zero harm program was initiated following establishment of these steps. Discussion A successful patient safety program, predicated on high reliability, can successfully be built with leadership commitment, development of safety culture, and performance improvement.

Research Related to Turbofan Engines

The development of aerospace technology has become a topic of daily concern and discussion for the benefit of all mankind. As the global temperature rises, the living environment of human beings is threatened, and scientists have decided to work on the development of aerospace technology in order to solve this problem and meet people's needs. Looking at the aviation industry, which is currently accessible to most people, aviation scientists are focusing on aircraft engines. There are different types of engines such as turbojet engines, turbofan engines, paddle fan engines and so on, but the type of engine that meets the needs of most people today is the turbofan engine. This paper introduced the basic information of turbofan engine in the context of literature, for example, the characteristics of turbofan engine such as high efficiency, high thrust, low noise, high reliability, and the problem of durability of high-temperature components that it faces, which can be improved from the research and development of advanced materials and innovative cooling technology

Studies on Thermal Separation and the Effects of Geometrical and Operating Parameters on the Performance of Pressure Wave Refrigerators

Abstract Thermal separation in a pressure wave refrigerator (PWR) occurs primarily through the propagation of shock waves and reverse-moving rarefied waves produced by injecting a high-pressure gas into a low-pressure residual gas in a receiving tube or channel. The major advantages of PWRs are simple design, low cost, high reliability, low rotational speed, and efficiency comparable to the conventional turbo-expanders. The objectives of this work are to understand the thermal separation in PWRs and to study the effects of various geometrical and operating parameters on the performance of PWRs. Two-dimensional computational fluid dynamics (CFD) simulation using a finite volume method is adopted for this study. The results indicate that the temperature and pressure profiles of the fluid inside the receiving tube just before the discharge, in the region about half the tube length from the inlet nozzle, strongly govern the performance of a PWR. The operating frequency at which the isentropic efficiency attains the first peak value is determined in a generalized way. Within the chosen geometrical and operating parameters, the optimized tube length, operating frequency, and pressure ratio are 2 m, 50 Hz, and 2.5, respectively. The findings in this article will be useful in designing and operating PWRs optimally.

The Relationship Between Medical Error Attitudes of Surgical Nurses and Evidence-Based Work Environment.

It is important for health care professionals to use evidence-based practice during  surgical procedures to ensure patient safety and prevent medical errors. The aim of this study was to examine the relationship between surgical nurses' perceptions of their work environment's support for evidence-based practice and their attitudes toward medical errors. The descriptive cross-sectional study was conducted between February and May 2023. A total of 105 nurses participated in the study. A personal information form, a medical errors attitude scale, and an evidence-based practice work environment scale were used to collect the data. It was determined that 92 (87.6%) of the participants used evidence-based practice. It was determined that the answers given by the nurses to the scales had very high reliability, and the mean score of the attitude scale in medical errors was 3.90 (Cronbach-α coefficient 0.770), and the mean score of the evidence-based practice work environment scale was 2.90 (Cronbach-α coefficient 0.840). In addition, according to the correlation, a positive, weak, and statistically significant correlation was found between the total scores of the attitude scale in medical errors and the evidence-based practice work environment scale (P<0.05). As a result of the study, it was determined that nurses' attitudes toward preventing medical errors were positive and their perceptions of support for evidence-based practice work environments were high. In this direction, it can be said that the attitudes toward preventing medical errors of nurses whose working environment is supported by evidence-based practice can be positively affected and error tendencies in surgical clinics can be reduced.

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control.

This paper focuses on the modeling, control, and simulation of an over-actuated hexacopter tilt-rotor (HTR). This configuration implies that two of the six actuators are independently tilted using servomotors, which provide high maneuverability and reliability. This approach is predicted to maintain zero pitch throughout the trajectory and is expected to improve the aircraft's steering accuracy. This arrangement is particularly beneficial for precision agriculture (PA) applications where accurate monitoring and management of crops are critical. The enhanced maneuverability allows for precise navigation in complex vineyard environments, enabling the unmanned aerial vehicle (UAV) to perform tasks such as aerial imaging and crop health monitoring. The employed control architecture consists of cascaded proportional (P)-proportional, integral and derivative (PID) controllers using the successive loop closure (SLC) method on the five controlled degrees of freedom (DoFs). Simulated results using Gazebo demonstrate that the HTR achieves stability and maneuverability throughout the flight path, significantly improving precision agriculture practices. Furthermore, a comparison of the HTR with a traditional hexacopter validates the proposed approach.

Exploration of Students' Interest Levels in Continuing their Education to Higher Education

This study aims to explore the level of interest of grade XII high school/vocational students in Pohuwato Regency to continue their education to higher education. The study used Rasch Model analysis to evaluate the validity and reliability of the instrument, unidimensionality, assessment scale, distribution of interest based on the Wright Map, and difference in item functionality (DIF). A total of 278 students from various schools were selected as respondents through the proportional random sampling technique. The results of the analysis show that the instruments used have high validity and reliability, both at the item and person levels. The unidimensionality test shows the measurement according to the intended construct. The Wright Map shows a diverse distribution of students' interests, with most being at moderate to high levels, with only a few students showing low and very low interest. DIF analysis shows that several question items have differential functionality based on the demographics of school origin so that it shows that there is a bias and in the future needs to be improved to improve the fairness of the instrument. This research contributes to the development of a valid and reliable instrument to measure student interest and provides input for schools and policymakers to increase student support in continuing to higher education.

A comprehensive assessment of current methods for measuring metacognition

One of the most important aspects of research on metacognition is the measurement of metacognitive ability. However, the properties of existing measures of metacognition have been mostly assumed rather than empirically established. Here I perform a comprehensive empirical assessment of 17 measures of metacognition. First, I develop a method of determining the validity and precision of a measure of metacognition and find that all 17 measures are valid and most show similar levels of precision. Second, I examine how measures of metacognition depend on task performance, response bias, and metacognitive bias, finding only weak dependences on response and metacognitive bias but many strong dependencies on task performance. Third, I find that all measures have very high split-half reliabilities, but most have poor test-retest reliabilities. This comprehensive assessment paints a complex picture: no measure of metacognition is perfect and different measures may be preferable in different experimental contexts.

ROLE OF UNIVERSITY BUSINESS INCUBATORS IN SHAPING ENTREPRENEURIAL MINDSET - AN ECONOMIC AND SOCIAL PERSPECTIVE IN ALGERIA

This study examines the role of university business incubators (UBIs) in shaping entrepreneurial mindset of Algerian students, emphasizing their economic and social impact. Motivated by the growing need to integrate entrepreneurship into academic frameworks, the research hypothesizes that UBIs significantly influence creativity, entrepreneurial thought, and venture intentions. The study’s objective is to assess the effectiveness of incubators in delivering training, mentorship, and financial resources while fostering a supportive entrepreneurial ecosystem. Using Structural Equation Modeling (SEM) and statistical package for social sciences (SPSS), data from 450 university students were analyzed. Findings reveal that UBIs significantly enhance entrepreneurial attitudes, with high reliability scores (Cronbach’s alpha = 0.956) confirming the robustness of the analysis. Training and mentorship emerged as pivotal elements, complemented by financial support, in bridging the gap between theoretical knowledge and practical application. The study concludes that UBIs are essential catalysts for fostering innovation and reducing barriers to entrepreneurship. By promoting creativity and collaboration among students, these incubators contribute to economic and social progress. The findings highlight the need for enhanced university-industry-government collaborations to amplify the impact of UBIs and support entrepreneurial ecosystems.

Educating the future: Serbian healthcare students’ knowledge and attitudes toward urinary incontinence

IntroductionUrinary incontinence (UI) is a growing global health problem that affects both women and men of all ages and can seriously negatively impact quality of life. Healthcare professionals’ knowledge and attitudes significantly influence UI prevention, diagnosis, and treatment. However, there is a notable lack of research exploring healthcare students’ understanding and perceptions of UI. In many countries, they, as future healthcare professionals, must also have continence care competency before graduation. Therefore, the study aimed to assess the knowledge and attitudes of healthcare students toward UI.MethodsThe study was designed as an observational, analytical, and comparative cross-sectional with 378 healthcare students in Serbia during the winter semester of the 2023/2024 academic year. A general questionnaire for obtaining sociodemographic data, the Urinary Incontinence Knowledge Scale (UIKS) and the Urinary Incontinence Attitude Scale (UIAS) were used as students’ report measures. Kuder-Richardson Coefficient (K-R 20) showed high reliability of the UIKS at 0.83, while Cronbach’s alpha coefficient was 0.62 for the UIAS.ResultsThe UIKS score was 16.6 ± 3.9/30. Healthcare students achieved the highest score in the domain of knowledge about the impact of UI on quality of life and the lowest in the domain of UI control. There is a significant difference in students’ knowledge level concerning the study program and whether they had a course focusing on UI. The UIAS score was 45.1 ± 4.6/60, indicating a positive attitude to UI. A statistically significant positive but weak correlation was obtained between knowledge and student attitudes about UI.ConclusionsThe study findings highlight a concerning gap in understanding UI among healthcare students despite their pivotal role as future healthcare professionals and underscore the urgent need for comprehensive educational strategies to bridge the knowledge gap and foster more positive attitudes toward UI and their implementation in clinical practice to improve patient health outcomes.

Psychometric Evaluation of the Scleroderma Skin Questionnaire: A Novel Patient-Reported Outcome for Skin Disease in Patients With Systemic Sclerosis.

We aimed to evaluate the psychometric properties of the Scleroderma Skin Questionnaire (SSQ), a novel patient-reported outcome (PRO) to assess systemic sclerosis (SSc)-related skin symptoms. Participants were recruited from the SSc Collaborative National Quality and Efficacy Registry (CONQUER). Internal consistency was determined using Cronbach α and McDonald ω total (ωt). The correlation of the SSQ was assessed with the modified Rodnan skin score (mRSS), physician global assessment (PGA), Scleroderma Health Assessment Questionnaire, 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29), and patient global assessment to assess criterion, convergent, and divergent validity. Correlations were also assessed between patients' self-reported recall of skin changes over the past 6 months ("SSQ 6-Month") and 6-month change in mRSS. The SSQ was administered to 799 adults (mean age 52.7; 83% female) enrolled in CONQUER. Cronbach α was 0.90 and ωt was 0.92, indicating high internal consistency. The SSQ was moderately correlated with mRSS (r 0.56), with stronger correlations in diffuse (r 0.54) vs limited cutaneous subtypes (r 0.24; all P < 0.05). The SSQ was also moderately-to-strongly correlated with PROMIS-29 physical function (r -0.50) and pain interference subscales (r 0.61), strongly with Health Assessment Questionnaire score (r 0.63) and severity subscale (r 0.62), and moderately with PGA SSc activity score (r 0.48; all P < 0.05). SSQ 6-Month correlated weakly with the 6-month change in mRSS (r 0.26; P < 0.05). SSQ demonstrated high reliability and moderate correlation with mRSS and legacy PROs. This study provides initial support for SSQ, but not SSQ 6-Month, to assess skin symptoms in patients with SSc.

The impact of improving the safety management system on situational awareness in the context of safety: a case of a selected high-reliability organization

In the aviation sector, maintaining a high level of safety is one of its main objectives. That is why these types of organizations are recognized as High Reliability Organizations (HROs). This paper aimed to identify and understand the relationship between the quality of the Safety Management System (SMS), and situational awareness (SA) allowing organizational members to perceive, comprehend, and respond to safety-related situations promptly and accurately. Based on a literature review, the authors present adopted concepts of the SMS and SA. The survey methodology involved document research, and a questionnaire on the SMS and SA, which consisted of 11 questions. The survey was conducted in the Approved Training Organization (ATO) in the Greater Poland voivodeship. The research considered two periods before and after the introduction of improvements in the SMS. The research indicated a relationship between improvements in the SMS and better SA of the HRO in the context of safety. The development of the SMS in the HRO was significant. The implementation of new SMS elements has undoubtedly contributed to an increase in safety levels and situational awareness within the HRO. A noticeable surge of incidents reported through the incident reporting system can be observed. This is confirmed by the opinions of the respondents. Additionally, students showed a more critical approach to safety than instructors, which may be due to insufficient safety culture education.

Evaluation of the effect of hydrogen plasma treatment on the chemical bonding state and distribution of hydrogen in silicon nitride films by angle-resolved hard X-ray photoelectron spectroscopy

Abstract The presence of hydrogen-incorporated defects in silicon nitride (SiN) films has been reported to degrade device properties, such as NAND flash memory. Therefore, controlling the amount of hydrogen defects in SiN films to achieve high device reliability is important. This study investigated hydrogen desorption using hydrogen plasma treatment to reduce hydrogen-incorporated defects in SiN films. Secondary ion mass spectrometry measurements showed that the hydrogen concentration in SiN films does not change significantly pre- and post-treatment. However, the trap levels in SiN films determined using the Poole–Frenkel analysis of hole currents showed a clear deepening after the plasma treatment. Angle-resolved hard X-ray photoelectron spectroscopy measurements suggested that hydrogen plasma treatment decreases the ratio of silicon to hydrogen or nitrogen to hydrogen bonds as a function of treatment time.

Enhancing intelligent marketing systems: a multi-layer hypernetwork approach integrating evidence theory for influential node identification

PurposeThis study proposes an intelligent marketing system model based on a combination of multi-layer hypernetworks and evidence theory, aiming to address the shortcomings of traditional marketing models in accurately identifying key nodes. We propose a new method to improve the accuracy and response speed of intelligent marketing systems by combining evidence theory with multi-layer hypernetworks. We conducted an experiment using a certain car brand (SUV) as an example, which has a wide customer base in both domestic and international markets and has branches in multiple countries. By analyzing its sales data and user behavior, we evaluated the potential reduction in advertising costs and improvement in user satisfaction that may result from adopting this model.Design/methodology/approachThe proposed model begins with the development of a user interest model, which is subsequently converted into a user label model based on user behavior and a rating matrix. A multi-layer aggregation hypernetwork is then constructed to define the network’s topology. An identification framework is established using evidence theory, and the Dempster–Shafer (D-S) evidence combination method is applied to integrate local, positional and global network indicators. Simulation experiments are conducted to evaluate the model’s performance.FindingsThis study proposes an intelligent marketing system model that integrates multi-layer hypernetworks with Dempster–Shafer evidence theory to address the limitations of traditional marketing models in identifying influential nodes. The proposed model is tested in the automotive industry, specifically using sales and user behavior data from a well-known SUV brand operating globally. This industry provides a complex and competitive environment ideal for validating the model’s ability to improve marketing precision. The results demonstrate that the model significantly enhances the accuracy of key node identification, reduces advertising costs by 10–15% and improves customer satisfaction scores to over 90%. Furthermore, preliminary experiments in the retail and e-commerce sectors highlight the model’s adaptability and potential for broader application. By combining local, positional and global indicators, the model effectively optimizes marketing strategies, providing a novel framework for intelligent decision-making in diverse industries. This study selected a well-known SUV car brand as the experimental subject. This brand mainly sells SUV models and has a wide customer base worldwide. Its products are known for their high performance and reliability. The brand has millions of customers, and its main markets include North America, Europe and Asia. It has branches in multiple countries and has significant international influence. According to publicly available data, the brand’s annual revenue reaches billions of dollars.Originality/valueThe main contribution of the research is the proposal of a novel intelligent marketing optimization framework based on multi-layer hypernetworks and evidence theory, which can effectively solve the problems of data silos and information asymmetry faced in traditional marketing systems.