Search Results (2,423)

Lactase enzyme-based products experience challenges including residual lactose that result in lactose intolerance. The purpose of this study was to develop polyelectrolyte polysaccharide-enriched lactase-encapsulated liposomal hydrogel films as an edible coating of Perline Mozzarella cheese that delivers enzymes along with the product on the side of absorption in the small intestine. Coatings were investigated for shelf-life enhancement and in vitro enzyme release behaviour. Two different polymeric hydrogel film formulations were evaluated: lactase-encapsulated liposome-enriched chitosan (PCLLa) and lactase-encapsulated liposome-enriched polyelectrolyte chitosan and sodium alginate (CLLA). Lactase-encapsulated liposomes (mean particle size: 176 nm) were produced using 20% v/v lactase enzyme and 8% w/v lecithin using probe sonication. The edible hydrogel film coatings were applied on Perline Mozzarella cheese using the standard dip-coating method. Shelf-life characteristics of all samples were evaluated using pH, colour change, dry matter determination, microbial evaluation, and sensory analysis. CLLA coatings increased shelf life up to 60 days, displaying a pH of 5.48, continued normal colour, enhanced humidity balance, minimal bacterial growth, and the highest scores for sensory values when compared to both PCLLa (coatings) and the bare cheese substrate (control) samples. Furthermore, CLLA coatings provided greater stability for liposomes within the polyelectrolyte polymeric edible hydrogel film structure. Hence, the combination of liposomes with polyelectrolyte edible hydrogel films provides a novel strategy to enhance lactase enzyme encapsulation (for intolerance), stability, and delivering ability to the small intestine as well as improving the shelf life of coated cheese products. Full article

Disinformation, amplified by digital platforms and algorithmic distribution systems, represents a growing challenge for media trust, public health communication, and societal stability. This narrative literature review examines disinformation through an integrative psychosocial perspective, focusing on how patterns of exposure interact with individual vulnerability factors—including education, political beliefs, social identity, personality traits, and emotional responses to uncertainty—to influence the processing and acceptance of misleading information. The review synthesises interdisciplinary evidence on how algorithmic amplification and emotionally salient content increase susceptibility to disinformation and shape risk perception, health-related decision-making, and preventive behaviours. Findings indicate that repeated exposure to false or misleading information reinforces perceived credibility through familiarity effects, contributes to declining trust in institutional sources, and intensifies social and political polarisation. Disinformation is therefore conceptualised not only as an informational problem but also as a psychosocial process affecting emotional regulation, cognitive evaluation, and collective responses to crises, particularly in public health contexts. The analysis further highlights a recursive feedback loop in which reduced media trust increases vulnerability to subsequent disinformation, with broader implications for democratic participation and social cohesion. Mitigation strategies discussed include media literacy initiatives, critical thinking education, platform governance, regulatory approaches, and interventions targeting psychosocial drivers of susceptibility. Full article

Understanding how volcanic systems evolve over time is a major challenge due to their complex behaviour and constantly changing conditions. This study explores a novel approach to detecting significant changes in multiparametric signals of volcanic unrest by analysing how different types of data, such as ground deformation, gas emissions, temperature, and earthquakes, interact with each other. Focusing on the Solfatara–Pisciarelli volcano system, which is a more active area in the Campi Flegrei Caldera (Southern Italy), we used two advanced methods to identify critical transitions in the system: one to model the nonlinear relationships between variables, and the other to detect key moments when the system’s behaviour shifts. By including time delays between signals (LAG), we found that our model became much more accurate in identifying these changes. In contrast, models that ignored time lags showed higher uncertainty. The results highlight the importance and effectiveness of using integrated multivariate approaches such as Multivariable Fractional Polynomial Analysis (MFPA) and Global Critical Point Analysis (GCPA) to gain deeper insights into the systemic behaviour of the caldera and its temporal evolution within a complex area like the Campi Flegrei over the selected time period. Full article

Technical and vocational education and training (TVET) colleges in South Africa continue to experience challenges related to staff commitment, organisational performance, and institutional effectiveness. These challenges highlight the need to better understand leadership approaches that sustain academic engagement and stability. This study examines the relationship between transformational leadership and organisational commitment among academic staff at a selected TVET college in Gauteng, South Africa. Grounded in the transformational leadership theory of Bass and Avolio, the study adopted a quantitative, cross-sectional survey design. Data were collected from 203 academic staff across six campuses using a structured self-administered questionnaire. Descriptive statistics and multiple regression analysis were performed using SPSS. The findings revealed low levels of organisational commitment among academic staff. While transformational leadership, as a composite construct, did not significantly predict organisational commitment, specific components—namely intellectual stimulation, inspirational motivation, and individualised consideration—showed significant positive relationships with organisational commitment. Theoretically, the study refines the application of transformational leadership theory within the TVET context by demonstrating that its components may operate differentially rather than as a unified construct in predicting organisational commitment. These findings challenge assumptions regarding the holistic predictive power of transformational leadership and extend leadership scholarship within under-researched TVET settings in developing-country contexts. Practically, the results provide evidence-based guidance for TVET management to design targeted leadership development interventions that emphasise specific transformational leadership behaviours to enhance academic staff commitment. Full article

The rapid evolution of fintech has accelerated the integration of blockchain technology and cryptocurrencies into crowdfunding platforms, reshaping entrepreneurial finance and challenging traditional conceptions of money, intermediation, and financial risk. This study empirically examines the socio-cultural, demographic, and behavioural factors influencing funders’ perceptions and investment decisions in crypto-crowdfunding, an emerging model situated at the intersection of digital currencies, financial inclusion, and decentralised capital formation. Using primary survey data from a focus group of 50 respondents measuring perceptions through a structured five-point Likert questionnaire, the analysis investigates how risk perception, trust and security, investor awareness, and perceived benefits shape participation in crypto-crowdfunded projects. The findings indicate that blockchain-based features such as transparency and decentralisation are associated with variations in perceived trust and risk assessment, rather than uniformly enhancing investor confidence. Socio-demographic characteristics emerge as significant determinants of investor awareness, perceived risks, and expected benefits, confirming pronounced behavioural heterogeneity in digital-finance participation. Regression results reveal strong interdependencies between trust, risk perception, and awareness, underscoring the importance of informational quality and risk-governance mechanisms in supporting sustainable adoption. By providing empirical evidence on individual-level determinants of participation in crypto-crowdfunding, the study contributes to the literature on the future of money by clarifying how crypto-crowdfunding operates as a behavioural-financial phenomenon embedded in decentralised governance structures. Full article

The growing environmental impact of textile consumption has intensified the need for efficient post-consumer waste collection systems capable of supporting circular economy transitions. Designing effective logistics systems for textile waste is therefore crucial, and their proper dimensioning requires accurate forecasts of collected volumes. However, textile waste flows are highly heterogeneous and strongly influenced by behavioural factors, making reliable forecasting particularly challenging. This study investigates whether urban textile waste collection can be effectively predicted by combining stable bin-level heterogeneity with time-varying socio-spatial and behavioural indicators. Using panel data generated by a hybrid simulation model for the municipality of Parma, we implemented a fixed-effects econometric framework and compared its performance with traditional benchmarks, including seasonal means and Holt–Winters exponential smoothing. The results demonstrate that incorporating structural heterogeneity across collection points, together with behaviour-related dynamics, enhances prediction accuracy and significantly outperforms traditional univariate time-series approaches, both at the aggregate level (R² ≈ 0.81) and at the bin level (MAE ≈ 25). These findings also support the robustness and generalizability of the proposed panel-data econometric framework, which shows strong potential for application in other urban settings characterized by similar structural and behavioural features. Full article

As natural and anthropogenic hazards intensify, improving the performance of reinforced-concrete (RC) infrastructure within a resilience-oriented assessment framework while limiting environmental burdens has become an important challenge for sustainable construction. In this context, this study proposes an OpenBIM-based digital-twin methodology to compare two equivalent RC structural scenarios: a conventional solution and an alternative incorporating unprocessed waste sheep wool fibres into cementitious materials. Using an IFC-based model of a high-rise building, the workflow enables automated extraction of structural quantities and a consistent building-scale assessment of material use, environmental impacts, and circularity indicators. Laboratory evidence from the literature is translated into element-level performance criteria through a dual-factor selection strategy based on key structural properties and secondary indicators related to cracking and post-cracking behaviour. The results show that the wool-fibre alternative enables the incorporation of a relevant amount of waste wool into the structure while causing only negligible increases in embodied energy and carbon emissions relative to the conventional RC scenario. The selected formulations also maintain or improve the governing mechanical and serviceability-related factors, indicating potential benefits in crack control, toughness, and repairability. Overall, this methodology provides a reproducible pathway for linking laboratory-scale material innovation with building-scale digital assessment, supporting more sustainable and performance-aware decision-making in RC construction. Full article

Background/Objectives: Vaccine hesitancy remains a significant public health challenge worldwide, yet nationally representative data from Central Asia are scarce. Evidence on the multidimensional structure of vaccination attitudes and their social patterning in Kazakhstan is limited. The study aimed to assess the distribution of anti-vaccination attitudes among adults in Kazakhstan and to examine their associations with socio-demographic, behavioural, clinical, and territorial characteristics. Methods: We conducted a cross-sectional, nationally representative survey of adults aged 18–69 years across all 17 regions of Kazakhstan between May and October 2025 (n = 6712). A multistage, stratified cluster sampling design was applied, and analyses incorporated sampling weights and design-based corrections. Vaccination attitudes were measured using the 12-item Vaccination Attitudes Examination (VAX) scale, comprising four subscales: mistrust of vaccine benefit, worries about unforeseen future effects, concerns about commercial profiteering, and preference for natural immunity. Internal consistency and confirmatory factor analysis were performed. Design-adjusted linear regression models were used to identify factors independently associated with each subscale and the overall VAX score. Results: The weighted mean overall VAX score was 3.70 (95% CI 3.67–3.73) on a 1–6 scale. The highest scores were observed for worries about unforeseen future effects (4.12; 95% CI 4.10–4.14), followed by preference for natural immunity (3.93; 95% CI 3.87–3.98), concerns about commercial profiteering (3.49; 95% CI 3.45–3.52), and mistrust of vaccine benefit (3.27; 95% CI 3.23–3.31). Internal consistency was high for the overall scale (Cronbach’s α = 0.861), and the four-factor structure demonstrated acceptable fit (CFI = 0.965; TLI = 0.952; RMSEA = 0.071). In multivariable design-adjusted models, age showed a generally consistent gradient, with lower scores in younger groups and the clearest differences observed among the youngest respondents. Married/cohabiting respondents had lower adjusted scores than single respondents across all subscales and for the overall VAX score. Men had lower adjusted worries scores than women, but sex was not independently associated with the overall VAX score. Diabetes was associated with higher adjusted mistrust, concerns about commercial profiteering, and overall VAX score, but not with worries or preference for natural immunity. Territorial differences were domain-specific: urban residence was associated with lower mistrust and higher worries, while macro-region was significant at the factor level only for worries. Conclusions: Anti-vaccination attitudes in Kazakhstan exhibit a multidimensional structure and clear socio-demographic patterning. Concerns about long-term safety were the most prominent attitudinal domain, whereas mistrust of vaccine benefit was comparatively less pronounced. Territorial differences were domain-specific rather than uniform, supporting the need for targeted communication strategies tailored to specific attitudinal domains and population subgroups. Full article

Adolescent vaping has become a persistent health and behavioural challenge in schools, yet many institutions lack reliable tools to detect and respond to concealed e-cigarette use. This study addresses this problem by evaluating the real-world performance of a low-cost “Internet of Things” (IoT) vape detection system deployed across 37 high-risk restroom and change-room locations at a large Australian Independent school. The aim was to determine whether an IoT-based environmental monitoring platform could accurately identify vaping events, support timely staff intervention, and provide actionable insights into student behaviour patterns. A longitudinal case study design was used, collecting continuous particulate matter (PM_2.5 and PM₁₀) data at one-minute intervals over an 18-month period, where PM₂.₅ and PM₁₀ refer to particulate matter with aerodynamic diameters ≤ 2.5 µm and ≤ 10 µm, respectively, reported in micrograms per cubic metre (µg/m³). Threshold-based alerting, cloud-based data processing, and school-led Closed-circuit television (CCTV) verification were combined to assess detection accuracy, temporal trends, and operational responses. The system recorded more than 300 vaping-related incidents, with clusters aligned to predictable times of day and higher prevalence among senior students. Operational detection performance was high, with alert events characterised by rapid, concurrent PM_2.5 and PM₁₀ excursions consistent with vaping-related aerosol profiles, although staff responsiveness declined over time due to alert fatigue and competing priorities. A major environmental smoke event demonstrated the need for context-aware logic to reduce false positives. The findings demonstrate that real-time aerosol monitoring is not only technically reliable but also highly effective in detecting vaping within school environments. These perspectives help explain why user engagement, alert fatigue, and institutional follow-through are as critical as sensor accuracy itself. Ultimately, the effectiveness of vape detection relies on strong organisational commitment, well-defined response workflows, and alignment with broader wellbeing and policy strategies. When these elements are in place, such systems can evolve from simple detection tools into intelligent, integrated components of school health governance. Full article

GPS GNSS position signal manipulation in shipping can lead to significant navigational challenges. Such disruptions may result from various factors, including atmospheric conditions, satellite malfunctions, or intentional positioning satellite signal disturbance. Impacts on shipping operations include delays, increased operational costs, and safety risks for crews and vessels. Understanding these disturbances and their implications is crucial for enhancing maritime safety and efficiency. Common causes of GNSS disturbances in shipping include atmospheric effects such as ionospheric and tropospheric delays, satellite signal obstructions due to terrain or buildings, satellite malfunctions or failures, and intentional interference like jamming. These factors can lead to inaccuracies in positioning, affecting navigation and safety. GPS signals are vulnerable to various cyber threats, including spoofing, jamming, and signal interference. Spoofing involves sending counterfeit GPS signals to mislead receivers, while jamming disrupts the legitimate signals. Ensuring the integrity and security of GPSs is crucial for applications like navigation, timing, and critical infrastructure. Advanced encryption and authentication methods can help safeguard the security of GPS signals. These vulnerabilities can have profound implications for navigation systems and critical infrastructure. Enhancing GPS security requires a combination of advanced technologies and policies to improve signal integrity and authentication processes. The Global Positioning System (GPS) is the most widely used GNSS positioning method in commercial shipping. Moreover, deliberate disturbance technical birth mechanisms are similar across the field of GNSS systems. Therefore, this study focuses on the deliberate disturbance of the GPS, recognising the ability to upscale the research results to other commonly used GNSSs such as Beidou, Galileo, and Glonass. This paper introduces a behavioural approach to enhancing cybersecurity and preparedness to external threats in commercial shipping through European collaboration in the CyberSEA project. Full article

Uneven seed spacing, skewed stalk posture, and inconsistent planting depth remain major challenges in horizontal sugarcane planting. To address these issues, a semi-automatic transverse sugarcane planter integrating a supply–buffer–discharge seeder and multiple soil-engaging components was developed. The seed placement process and the interaction between stalk discharge and soil disturbance were investigated through Discrete Element Method (DEM) simulations and experiments. First, the working principle and key component parameters of the whole machine were determined. It integrated the processes of soil crushing, furrowing, seeding, ridge covering. In addition, a dynamic analysis was conducted on the inter-particle disengagement effect during the two-step seed filling process of lifting and discharging. Secondly, a discrete element simulation model for the entire process of soil-engaging seed arrangement operations was established for the machine. The effects of forward speed and seed outlet position were studied using a discrete element method (DEM) simulation model that coupled soil disturbance flow with stalk-seed discharge behaviour. Furthermore, a response surface methodology (RSM) experiment was performed on the seeding test bench to quantify the effects of guiding parameters on seed placement uniformity. The determination coefficient (R²) of the established regression model exceeded 0.9, indicating high prediction accuracy. The optimal collaborative parameter combination was optimized as follows: forward speed of 1.2 m·s⁻¹, buffer inclination angle of 55°and supply roller speed of 26 r·min⁻¹. After verification, the seed placement uniformity coefficient of the seeder reached 91.8 ± 1.4%, which met the expected accuracy requirements for horizontal planting. Full article

Background: Undernutrition among children under five years remains a major public health challenge, particularly in low- and middle-income countries and rural communities where poverty, food insecurity, and limited access to health services persist. Maternal and caregiver perceptions play a critical role in shaping feeding practices and health-seeking behaviours that influence child nutritional outcomes. Objective: This study explored mothers’ and caregivers’ perceptions of factors contributing to undernutrition among children under five years in a rural community of Ngqeleni, Eastern Cape, South Africa. Methods: A qualitative descriptive study was conducted at a primary healthcare clinic in the Ngqeleni sub-district. Purposive sampling was used to recruit mothers and caregivers of children under five years. Data were collected through seven in-depth interviews and three focus group discussions involving a total of 25 participants. Interviews were conducted using a semi-structured guide and analyzed thematically. Results: Five major themes emerged: caregivers’ perceptions of nutrition, household food insecurity and unemployment, limited dietary diversity, culturally influenced feeding practices, and gaps in practical nutrition knowledge. Caregivers demonstrated concern for child nutrition but described constrained feeding choices shaped by poverty, reliance on social grants, environmental challenges, and limited access to diverse foods. Environmental challenges such as drought and lack of piped water further limited food production. Limited nutrition knowledge and reliance on informal information sources contributed to suboptimal feeding practices. Conclusions: Undernutrition in this rural setting is shaped by a complex interaction of economic hardship, environmental constraints, and limited caregiver knowledge. Community-based nutrition education, strengthened primary healthcare counselling, and multisectoral interventions addressing poverty, water access, and food security are essential to improve child nutrition outcomes. Full article

Welfare assessment for the endangered red panda (Ailurus fulgens) in captivity requires systematic behaviour monitoring, yet traditional direct observation is often limited by observer subjectivity and time constraints. This study evaluates the feasibility of employing machine learning (ML) to automate behavioural monitoring of a red panda in a complex, mixed-species enclosure at Aalborg Zoo, Denmark. Using video data from cameras in the enclosure of the red panda, and the ML model LabGym for animal detection and behavioural categorisation, models were trained to analyse activity patterns of the red panda. The results demonstrate that, while the behaviour categorizer is a promising tool with high classification confidence, the overall system effectiveness is currently limited by the object detector’s performance in a naturalistic environment. Challenges such as environmental obstructions (e.g., rocks, foliage, and trees) and the animal’s camouflage contributed to a significant amount of unclassified time, which may affect the overall assessment of behavioural distribution. We conclude that, while ML holds potential for non-invasive behaviour monitoring, its application in complex zoo settings requires improved detection capabilities to be fully reliable. Future iterations of this system could be enhanced by complementing standard object detection with pose estimation frameworks. Implementing alternative labelling strategies or background subtraction methods could additionally mitigate the detection challenges posed by environmental obstruction. Full article

Wire Arc Additive Manufacturing (WAAM) has gained attention as a metal additive manufacturing process producing complex large-scale components with high deposition rates and lower costs. Cold Metal Transfer (CMT) offers reduced heat input and enhanced control of metal transfer, making it suitable for aluminium. This review analyses CMT-based WAAM with a focus on Al–Si alloys, providing a synthesis for this material system and establishing a structured comparison of representative studies on process fundamentals, arc mode variants, and key processing parameters. The influence of electrical and kinematic parameters and thermal management on process and geometrical stability, microstructural evolution, defect formation, and mechanical behaviour is discussed. Process behaviour is governed by the temporal distribution of heat input within the CMT cycle and thermal history. Control of heat input can reduce porosity, microstructural heterogeneity, and geometric instability, while advanced CMT modes can improve process stability and material efficiency under appropriate process configurations. Mechanical performance depends on the interaction between process parameters, microstructure, and defects, leading to variability and anisotropy. Despite progress, challenges related to process repeatability, narrow processing windows, defect susceptibility, and predictive capability remain. Future research should focus on parameter optimization, integrated modelling, real-time control, and WAAM-specific alloys to enable reliable industrial implementation. Full article

Escalating environmental challenges have increased interest in understanding pro-sustainability behaviours (PSBs) within the built environment. Grounded in the Theory of Planned Behaviour (TPB) and the Value–Belief–Norm (VBN) Theory, this study maps the global PSB research landscape and examines how cognitive, normative, and moral behavioural determinants are conceptualised. Employing the PRISMA framework and scientometric analysis using VOSviewer, the study analysed 22 key publications sourced from multiple academic databases. The findings indicate a steady growth in PSB research since 2017, with substantial contributions from Asia, particularly Malaysia and China. However, the literature remains theoretically fragmented, with limited integration of established behavioural frameworks. Eight categories of PSBs were identified, demonstrating how TPB constructs (attitudes, subjective norms, perceived behavioural control) and VBN constructs (values, beliefs, personal norms) are reflected in stakeholder practices across the built environment lifecycle. The findings highlight conceptual gaps, notably the underutilisation of hybrid behavioural models, and emphasise the need for future research that enhances theoretical integration, interdisciplinarity, and geographical diversity. The study provides evidence-based insights to support policy, education, and industry efforts to strengthen PSBs in the built environment. Full article