Search Results (5,701)

This scoping review paper provides an overview of the evolution, the current stage, and the future prospects of fracture studies on composite laminates. A fundamental understanding of composite materials is presented by highlighting the roles of the fiber and matrix, outlining the applications of various synthetic fibers used in current structural sectors. Challenges posed by interlaminar delamination, one of the critical failure modes, are highlighted. This paper systematically discusses the fracture behavior of these laminates under mixed-mode and complex loading conditions. Standardized fracture toughness testing methods, including Mode I Double Cantilever Beam (DCB), Mode II End-Notched Flexure (ENF) and Mixed-Mode Bending (MMB), are initially discussed, which is followed by a decade-wide chronological analysis of fracture mechanics approaches. Key advancements, including toughening mechanisms, Cohesive Zone Modeling (CZM), Virtual Crack Closure Technique (VCCT), Extended Finite Element Method (XFEM) and Digital Image Correlation (DIC), are analyzed. The review also addresses recent trends in fracture studies, such as bio-inspired architecture, self-healing systems, and artificial intelligence in fracture predictions. By mapping the trajectory of past innovations and identifying unresolved challenges, such as scale integration, dataset standardization for AI, and manufacturability of advanced architectures, this review proposes a strategic research roadmap. The major goal is to enable unified multi-scale modeling frameworks that merge physical insights with data learning, paving the way for next-generation composite laminates optimized for resilience, adaptability, and environmental responsibility. Full article

This study introduces the Human-AI Symbiotic Theory (HAIST), designed to guide authentic collaboration between human researchers and artificial intelligence in academic contexts, while pioneering a novel AI-assisted approach to theory validation that transforms educational research methodology. Addressing critical gaps in educational theory and advancing validation practices, this research employed a sequential three-phase mixed-methods approach: (1) systematic theoretical synthesis integrating five paradigmatic perspectives across learning theory, cognition, information processing, ethics, and AI domains; (2) development of an innovative validation framework combining three established theory-building approaches with groundbreaking AI-assisted content assessment protocols; and (3) comprehensive theory validation through both traditional multi-framework evaluation and novel AI-based content analysis demonstrating unprecedented convergent validity. This research contributes both a theoretically grounded framework for human-AI research collaboration and a transformative methodological innovation demonstrating how AI tools can systematically augment traditional expert-driven theory validation. HAIST provides the first comprehensive theoretical foundation designed explicitly for human-AI partnerships in scholarly research with applicability across disciplines, while the AI-assisted validation methodology offers a scalable, reliable model for theory development. Future research directions include empirical testing of HAIST principles in live research settings and broader application of the AI-assisted validation methodology to accelerate theory development across educational research and related disciplines. Full article

Background/Objectives: Fecal peritonitis following penetrating abdominal trauma is a serious condition that often results in sepsis and organ failure. The aim of our study was to develop a novel conscious porcine model of sepsis and organ dysfunction caused by multiple penetrating injuries to the small and large intestines. Methods: Twelve female Yorkshire pigs (average weight 50.6 ± 6.5 kg) were divided into two groups: Penetrating Abdominal Trauma (PAT) (n = 8) and Control (n = 4). All surgical procedures were performed under anesthesia with adequate analgesia. In the PAT group, the small and large intestines were punctured, and feces mixed with saline were introduced into the abdominal cavity to induce peritonitis. The Control group received sham surgery with only saline solution. The animals were observed in a conscious state over a period of 72 h, vital parameters were recorded, and blood samples were taken regularly. We adapted a pig-specific SOFA score and developed pig-specific SIRS criteria and NEWS2 score to assess organ function. The model was validated by independent investigators. Results: The survival rate in the PAT group was 75%, with an average survival time of 58.5 h, while all animals in the Control group survived to euthanasia. Monitoring showed pathophysiological changes, such as tachycardia, leucopenia, and thrombocytopenia, indicative of sepsis and organ dysfunction. Blinded investigators independently confirmed the model’s validity. Conclusions: A new swine model of penetrating abdominal trauma and sepsis has been successfully developed that demonstrates significant physiological and immunologic changes comparable to human sepsis. This new model provides a realistic platform for future research into sepsis, its diagnostics, and the evaluation of therapeutic strategies. Full article

Initial teacher education programs are the primary means through which student teachers gain teaching apprenticeship, amass core teaching knowledge, and build skills that prepare them to become effective teachers who are ready to combat the realities and challenges of the classroom. The current study examines the level of content knowledge (CK), pedagogical content knowledge (PCK), and the self-efficacy of language and foundational literacy instruction among the language teacher educators at teacher training colleges (TTCs) in Malawi. This research further explored the teacher educators’ perceptions of CK and PCK, and how their understanding of the Initial Primary Teacher Education curriculum shapes their teaching practices in foundational learning and language. Lastly, we explore the associations between CK, PCK, self-efficacy, and teacher educators’ characteristics. Utilizing a mixed-methods approach, we analyzed data from 60 language teacher educators from 10 TTCs in Malawi. The findings revealed that the teacher educators’ level of CK and PCK was low, but they had high self-efficacy in their ability to teach the component skills of literacy to the student teachers. Of the teacher educators’ characteristics, only continuous professional development was positively correlated with their self-efficacy. The teacher educators’ CK and PCK are shaped by the TTC curriculum, their primary school teaching experiences, and the national education policies and guidelines they implement. Gaps in the curriculum and external constraints hinder them from effectively training student teachers in foundational literacy pedagogies. The findings provide pedagogical and policy directions for stakeholders to improve the quality of preservice education in low–middle-income contexts. Full article

This paper presents the SMALLDERS project, a European initiative aimed at transforming smallholders’ business models through an innovative technological platform. The platform functions as an e-marketplace that connects small farmers directly with consumers while simultaneously promoting environmental sustainability and collaboration across the agri-food value chain. The study evaluates the platform’s commercial viability and acceptance through a mixed-methods approach, incorporating qualitative and quantitative data. Research methods include focus group sessions, interviews with key stakeholders—such as transport companies, large distributors, and public administrations—and a consumer survey assessing intentions and attitudes toward the e-marketplace. Results indicate limited overall consumer readiness to adopt the platform; however, 48.6% of respondents expressed willingness to use it provided competitive prices and personal benefits are assured. Smallholders regard e-commerce as a promising opportunity, yet they face significant barriers, including limited resources, low digital literacy, and logistical constraints. Stakeholders generally view the platform positively, emphasizing that its success depends on achieving a critical mass of business volume. To foster adoption, SMALLDERS proposes three business models for smallholders: sustainable, cooperative, and technological. The platform includes a user-friendly feature to assist smallholders in transitioning among these models, complemented by training and support services designed to encourage more resilient and innovative agricultural practices. Full article

Automated container terminals can achieve precise matching of equipment and space, thus forming the foundation for the terminals’ efficient operation. However, the increase in container volume requires the construction of more ACTs. Existing studies lack dynamic assessment of the deep coupling between the P-shaped layout and the terminal’s system performance verification under peak operating conditions. To solve these problems, this paper aims to evaluate the system performance of the process layout in the application of ACTs through simulation methods. We have identified the differences in indicators among various schemes, thereby providing decision support for the construction of the port. In this paper, a simulation method for the configuration based on a P-shaped process layout is proposed at ACTs. The port system is constructed as a discrete event simulation model consisting of five core modules. Then two P-shaped process layout schemes and one mixed process layout scheme are proposed and the terminal models are established, respectively. Finally, by conducting numerous simulation experiments under different layout schemes, the influence of traffic organization on the efficiency of the terminal system was analyzed. The results demonstrate that on the premise of the maturity of the mixed-traffic technology at the terminal, when the proportion of cross-berth operations is low, the system efficiency of the mixed layout scheme is the highest. This article takes a new type of P-shaped process layout as the research object, reveals the correlation between its traffic organization characteristics and system performance through a customized simulation method. It provides a new theoretical perspective and quantitative tool for the optimization of automated terminal layouts. Full article

Efficient production scheduling is a key challenge in industrial operations and continues to attract significant interest within the field of operations research. This paper investigates a range of methodological approaches designed to solve the permutation flow shop scheduling problem (PFSP) with sequence-dependent setup times (SDST). The main objective is to minimize the total weighted flow time (TWFT) while ensuring a no-wait production environment. The proposed solution strategy is based on using algorithms with a mixed integer linear programming (MILP) formulation, heuristics, and their combination. The heuristics utilized in this paper include an advanced greedy randomized adaptive search procedure (GRASP) based on a priority rule and Hybrid-GRASP-NEH (HGRASP), where Nawaz-Enscore-Ham (NEH) takes place to initiate solutions, based on iterative global and local search methods to refine exploration capabilities and improve solution quality. These approaches were validated using a comprehensive set of experiments across diverse instance sizes that proved the efficiency of HGRASP, with the results showing a high-performance level that closely matched that of the exact MILP approach. Statistical analysis via the Friedman test (χ² = 46.75, p = 7.04 × 10⁻¹¹) confirmed significant performance differences among MILP, GRASP, and HGRASP. While MILP guarantees theoretical optimality, its practical effectiveness was limited by imposed computational time constraints, and HGRASP consistently achieved near-optimal solutions with superior computational efficiency, as demonstrated across diverse instance sizes. Full article

Background/Objectives: The relationship between dairy consumption and cardiovascular or bone health outcomes remains controversial, with inconsistent findings across existing meta-analyses. In this study, we aimed to systematically evaluate and synthesize the evidence from published meta-analyses on dairy consumption and cardiovascular and bone health outcomes in adults, and to conduct updated meta-analyses incorporating recently published prospective cohort studies. Methods: We performed an umbrella review following PRISMA guidelines, searching published and grey literature up to April 2024. Meta-analyses evaluating dairy intake and its impact on cardiovascular and bone health outcomes were included. Updated meta-analyses were conducted for cardiovascular outcomes, while bone health outcomes were synthesized qualitatively. Methodological quality was assessed using the Joanna Briggs Institute checklist. Random-effects models were applied, and heterogeneity, small-study effects, excess significance, and prediction intervals were evaluated. Results: We included 33 meta-analyses (26 on cardiovascular, 7 on bone health outcomes). Updated meta-analyses showed that total dairy (RR: 0.96), milk (RR: 0.97), and yogurt (RR: 0.92) were significantly associated with reduced CVD risk. Total dairy and low-fat dairy were inversely linked to hypertension (RRs: 0.89, 0.87), and milk and low-fat dairy were associated with reduced stroke risk. Small-study effects were absent for most associations. Credibility was rated as “weak” for most associations, with total dairy and stroke, and total dairy and hypertension showing "suggestive" evidence. For bone health, dairy—especially milk—was linked to higher bone mineral density (BMD). Evidence on osteoporosis risk was mixed, and while total dairy and milk showed inconsistent associations with fractures, cheese and yogurt showed more consistent protective effects. Limited evidence suggested milk may reduce bone resorption markers. Conclusions: This review suggests that dairy consumption, particularly milk and yogurt, is modestly associated with reduced cardiovascular risk, while dairy intake appears to benefit BMD and fracture prevention. However, further research is needed to confirm these associations. Full article

Background: There are very few reviews on how children’s food allergy is managed across various educational settings, and none have considered psychological support in addition to child safety. This scoping review aimed to understand interventions to manage food allergy, addressing children’s safety and psychological support in childcare centres, preschools, and schools. Methods: Following the JBI methodology for scoping reviews and applying the PCC (population, concept, and context) mnemonic, a search was conducted via Medline (Ovid), Embase (Ovid), CINAHL (EBSCOhost), ERIC (ProQuest), PsychInfo (EBSCOhost), Scopus, and ProQuest Dissertations and Theses (ProQuest). Furthermore, two supplementary searches were conducted: first, backward citation tracking of all publications included in this review; and second, a search of seven peak allergy organisation websites, including Allergy & Anaphylaxis Australia and the World Allergy Organization. Findings: Eighteen publications were included from 6812 records retrieved from the databases. Most publications were from the United States of America (61%), representing food allergy management mainly in schools (39%), followed by preschools (22%), childcare centres (17%), and mixed settings (11%). All the interventions focused on child physical safety, largely neglecting psychosocial support for children or their families, and only four publications reported the use of control groups to test intervention benefits (22%). Furthermore, safety-focused interventions were centred on building educator or staff knowledge of food allergy and their skills, confidence, and self-efficacy to manage it (72%); these were found to be highly effective. Most interventions were aimed at adults, and none considered children. Interpretation: The findings suggest a need for more research on food allergy management involving child-focused, developmentally appropriate approaches, especially in childcare and preschool settings. There is also a need for research on psychological support, particularly that which involves control groups and encompasses different nations. Full article

This study investigates the psychological and emotional mechanisms underlying women’s reactions to breast cancer awareness advertisements through the dual lens of Protection Motivation Theory (PMT) and neuromarketing methods, addressing a gap in empirical research on the integration of biometric and cognitive approaches in health marketing. Utilizing a lab-based experiment with 78 women aged 40 and older, we integrated Facial Expression Analysis using Noldus FaceReader 9.0 with semi-structured post-exposure interviews. Six manipulated health messages were embedded within a 15 min audiovisual sequence, with each message displayed for 5 s. Quantitative analysis revealed that Ads 2 and 5 elicited the highest mean fear scores (0.45 and 0.42) and surprise scores (0.35 and 0.33), while Ad 4 generated the highest happiness score (0.31) linked to coping appraisal. Emotional expressions—including fear, sadness, surprise, and neutrality—were recorded in real time and analyzed quantitatively. The facial analysis data were triangulated with thematic insights from interviews, targeting perceptions of threat severity, vulnerability, response efficacy, and self-efficacy. The findings confirm that fear-based appeals are only effective when paired with actionable coping strategies, providing empirical support for PMT’s dual-process model. By applying mixed-methods analysis to the evaluation of health messages, this study makes three contributions: (1) it extends PMT by validating the emotional–cognitive integration framework through biometric–qualitative convergence; (2) it offers practical sequencing principles for combining threat and coping cues; and (3) it proposes cross-modal methodology guidelines for future health campaigns. Full article

The article examines the application of controlling in energy and heating (E&H) companies, with particular emphasis on diagnosing the extent to which reporting and management controlling are implemented, as well as identifying barriers that limit the development of their managerial functions. The aim of the study was to determine the extent to which management controlling is applied in the managerial practice of the E&H sector and how its use differs from practices observed in other sectors of the economy. The research employed a mixed methods approach, including a literature review, a case study of controlling implementation in a selected energy company, and a quantitative analysis based on the Managerial Controlling Index (MCI). The central research question addressed the impact of legal, market, and organisational conditions on the scope of controlling in the E&H sector. The findings indicate that E&H companies record lower MCI scores than companies in other industries, regardless of their size, age, or business profile. The article concludes with a set of managerial recommendations outlining directions for the development of management controlling as a tool for supporting decision-making and enhancing integration with the overall management system. Full article

Although genomic selection can accelerate livestock breeding, its application in many countries is hindered due to the limited size of reference populations. To address this issue, researchers have explored methods of combining multiple breeds to create reference populations, aiming to enhance the accuracy of genomic prediction. The main objective of this study was to evaluate the impact of the construction of mixed reference populations at different genetic distance levels on the accuracy of multi-breed genome prediction in multi-breed beef cattle populations using three evaluation methods: GBLUP, ssGBLUP, and wGBLUP. In order to study the effect of genetic correlation on multiple populations and to resolve the optimal mixing ratio, we considered six scenarios, including (1) population A as the main body, where the nearest 10% of individuals in populations B and C were added; (2) population A was the main body, where the 15% of individuals with the closest genetic distance in groups B and C were added; and (3) population A as the main body, where the 20% of individuals in populations B and C with the closest genetic distance were added. Our results suggest that the wGBLUP model can be enhanced when the mixing ratio is 15%, and the wGBLUP model shows higher accuracy in predicting populations with different LD decay patterns. Among them, whether combined with PopB or PopC, the wGBLUP model shows better prediction ability than the GBLUP and ssGBLUP models. However, when the mixing ratio is 10% or 20%, the accuracy of the three models is less than 15%, and the wGBLUP and ssGBLUP models show high and stable accuracy. Our results highlight the importance of considering the proportion of mixing between different populations when using genetic assessment models to predict accuracy, especially for endemic beef cattle breeds with different genetic structures and LD patterns and limited resources. However, this study also has some limitations. First, the determination of the optimal mixing ratio still needs further exploration, especially for populations with different genetic structures and LD patterns. Second, future studies can introduce more advanced models to further improve prediction accuracy. Full article

This study examines the intersection of artificial intelligence-driven personal branding strategies and female entrepreneurship within Indonesia’s unique hijabi startup ecosystem. Through a mixed-methods approach combining sentiment analysis of 2847 social media posts, in-depth interviews with 35 hijabi entrepreneurs, and machine learning analysis of branding patterns, this research reveals how AI technologies can be leveraged to create culturally sensitive personal branding frameworks for Muslim female entrepreneurs. The findings demonstrate that successful hijabi entrepreneurs employ distinct AI-enhanced communication strategies that balance religious identity, professional credibility, and market positioning. The study introduces the “Halal Personal Branding Framework,” a novel theoretical model that integrates Islamic values with contemporary digital marketing practices. Results indicate that AI-driven personal branding increases startup funding success rates by 34% and market reach by 58% among hijabi entrepreneurs when culturally appropriate algorithms are employed. This research contributes to entrepreneurship communication theory while providing practical guidelines for developing inclusive AI systems that respect religious and cultural diversity in the digital economy. Full article

A novel right-sidewall gas blowing method is proposed to improve the flow behavior in a single-strand tundish. Despite advances in tundish flow control, the impact of slag layers and sidewall gas injection on flow dynamics and tracer transport remains underexplored. This study combines 1:3.57 scale water model experiments and Compuational Fluid Dynamics (CFD) simulations to investigate the effects of gas injection heights (50 mm and 100 mm) on flow structure, mixing efficiency, and slag layer interactions. Particle Image Velocimetry (PIV) and the stimulus-response method are used for quantitative validation. Results show that sidewall gas blowing suppresses short-circuit flow, increases average residence time by up to 37%, and reduces dead zone volume by up to 19%. The 50 mm blowing height induces stronger surface turbulence, while the 100 mm height improves flow uniformity. The presence of a slag layer significantly dampens surface fluctuations and alters vortex formation. These findings fill a critical research gap in tundish metallurgy and offer a practical reference for optimizing gas blowing strategies in industrial applications. Full article

Background/Objectives: Colorectal cancer (CRC) is a growing public health concern in South Korea, with incidence rising alongside dyslipidemia. Statins, widely prescribed for lipid control, have been proposed to reduce CRC risk, but evidence remains inconsistent, particularly in Asian populations. Methods: Using Korean National Health Insurance Service data (2002–2019), we conducted a nested case–control study of 9920 CRC patients and 39,680 matched controls. To reduce confounding, we applied a matching process with a propensity score and overlap weighting based on demographic and clinical variables. Statin use within two years before CRC diagnosis was categorized by type (lipophilic vs. hydrophilic) and duration. Lifestyle data such as smoking and diet were not available. Results: Short-term statin use was associated with a 17% reduced CRC risk, particularly in younger, metabolically healthier Korean males. Lipophilic statins were consistently associated with lower CRC risk and mortality. However, hydrophilic statins showed mixed results: while short-term use lowered CRC risk, long-term use was linked to increased all-cause mortality. These associations varied by patient subgroup. Conclusion: Among Korean adults, short-term statin use—especially lipophilic agents—was associated with favorable CRC outcomes. However, the observational design, the absence of lifestyle data, and increased mortality linked to long-term hydrophilic statin use limit causal interpretation. Further research using clinically enriched or prospective datasets is warranted to validate these findings and guide personalized preventive strategies. Full article