Search Results (2,026)

Wildlife rescue centres face considerable challenges in promoting animal welfare and enhancing the care and housing conditions of animals under professional supervision. These challenges are further compounded by the diversity of species admitted, each with distinct specific needs. In Colombia and other Latin American countries, primates are among the most frequently rescued and behaviourally complex mammalian taxa, requiring particular attention. In response, this study aimed to assess the content validity of proposed animal welfare indicators for Cebus albifrons through a Delphi consultation process and to develop two species-specific assessment protocols: a daily-use tool for keepers and a comprehensive protocol for professional audits. A panel of 23 experts in primate care and rehabilitation participated in two consultation rounds to evaluate and prioritise the indicators based on their content validity, perceived reliability, and practicality. Indicators were classified as either animal-based (direct measures) or resource- and management-based (indirect measures). After each round, experts received summarised feedback to refine their responses and facilitate consensus building. Of the 39 initially proposed indicators, 28 were validated for inclusion in the extended protocol and 10 selected for the daily-use checklist. Among these, 20 indicators in the extended protocol and 6 in the daily protocol were resource- or management-based—such as adequate food provision, physical enrichment, and habitat dimensions—highlighting their practical applicability and relevance in identifying welfare issues and risk factors. Although these indirect indicators were more numerous, the top-ranked indicators in both protocols were animal-based, including signs of pain, affiliative behaviours, and abnormal repetitive behaviours. These are essential for accurately reflecting the animals’ welfare state and are therefore critical components of welfare assessment in captive non-human primates. This study demonstrates that welfare assessment tools can be effectively tailored to the specific needs of wildlife rescue centres, providing a robust foundation for enhancing welfare practices. These protocols not only offer practical approaches for assessing welfare but also underscore the importance of embedding animal welfare as a priority alongside conservation efforts. Future research should aim to refine these tools further, assess their implementation, and evaluate inter- and intra-observer reliability to ensure consistency across different settings. Full article

Background: The increasing prevalence of overweight and obesity worldwide is one of the most serious public health challenges, reaching epidemic proportions. Excessive body weight is often accompanied by metabolic disorders such as insulin resistance, atherogenic dyslipidaemia and hypertension—collectively known as metabolic syndrome. This cross-sectional study aimed to identify predictors of metabolic syndrome in women using logistic regression analysis based on selected sociodemographic, anthropometric, and lifestyle variables. Methods: The study included 250 women aged 23–85 recruited in the Podkarpackie region of Poland. Data on sociodemographic characteristics and smoking status were collected via a questionnaire. Physical activity and sedentary behaviours were assessed using the Global Physical Activity Questionnaire. Body composition was measured using bioelectrical impedance analysis. Fasting capillary blood samples and blood pressure measurements were obtained by qualified medical staff in accordance with standard procedures. Results: Obesity was strongly associated with metabolic syndrome components, particularly abnormal blood pressure (66.3%) and fasting glucose (64%), both of which were statistically significant (p < 0.01). Age was a significant predictor of metabolic syndrome (OR = 1.06; p < 0.01) and its components, including hypertension, dysglycaemia and dyslipidaemia. Waist-to-hip ratio was strongly linked to metabolic syndrome (OR = 356.97; p < 0.01) and obesity (OR = 5.89 × 10³⁰; p < 0.001); however, these exceptionally high values should be interpreted with caution, as they may reflect statistical artifacts due to model instability or sample characteristics, rather than a meaningful or generalizable association. Higher body fat mass was associated with an increased risk of obesity, hypertension and dysglycaemia (OR = 1.42, 1.06 and 1.06 respectively; p < 0.01). Conclusions: These results emphasise the significant role of obesity as a risk factor for metabolic syndrome in women, highlighting the need for personalised preventive strategies that consider lifestyle and sociodemographic factors, such as targeted health education, promotion of physical activity, and dietary counselling adapted to the needs of women at risk. Full article

This review article provides an overview of the use of hydrogen and tyre pyrolysis oil as fuels for homogeneous charge compression ignition (HCCI) engines. It discusses their properties, the ways they are produced and their sustainability, which is of particular importance in the present moment. Both fuels have certain advantages but also throw up many challenges, which complicate their application in HCCI engines. The paper scrutinises engine performance with hydrogen and tyre pyrolysis oil, respectively, and compares the fuels’ emissions, a crucial focus from an environmental perspective. It also surveys related technologies that have recently emerged, their effects and environmental impacts, and the rules and regulations that are starting to become established in these areas. Furthermore, it provides a comparative discussion of various engine performance data in terms of combustion behaviour, emission levels, fuel economy and potential costs or savings in real terms. The analysis reveals significant research gaps, and recommendations are provided as to areas for future study. The paper argues that hydrogen and tyre pyrolysis oil might sometimes be used together or in complementary ways to benefit HCCI engine performance. The importance of life-cycle assessment is noted, acknowledging also the requirements of the circular economy. The major findings are summarised with some comments on future perspectives for the use of sustainable fuels in HCCI engines. This review article provides a helpful reference for researchers working in this area and for policymakers concerned with establishing relevant legal frameworks, as well as for companies in the sustainable transport sector. Full article

With the rapid development of technology, an increasingly competitive environment, and evolving consumer behaviour, the use of modern marketing tools has become a key challenge for companies of various types (manufacturing, providing services, sports organizations, universities, etc.). Although sustainable digital communication methods are gaining prominence, existing research often focuses merely on describing communication trends without providing decision-making frameworks for strategy optimisation. This paper addresses this gap by mapping the current state of marketing communication strategies among large telecommunication companies in Slovakia and assessing their impact on customer behaviour and market position. Data were analysed through a combination of qualitative and quantitative research methods, including document analysis, annual reports, surveys, and personal observations. One enterprise was selected for detailed data analysis. The results confirm a significant relationship between the use of communication channels and the company’s market position, brand popularity, and the strong influence of employee recommendations. Unlike previous studies, which predominantly describe marketing communication trends and tools, this research integrates the evaluation of communication strategy effectiveness with a systematic management decision-making model based on the PDCA (Plan-Do-Check-Act) continuous improvement cycle. This approach enables continuous optimisation of sustainable communication strategies and provides actionable managerial guidance for improving resource allocation, market position, and organisational adaptability in dynamic market environments. Full article

The aim of this comprehensive review is to synthesize current knowledge on bovine respiratory disease (BRD), enhance diagnostic strategies, and support effective prevention and management practises. BRD remains a leading cause of morbidity and mortality in cattle, driven by a complex interplay of viral and bacterial pathogens, host factors, environmental stressors, and management conditions. Its prevalence (2.1% to 20.2%) varies across geographical regions, age groups, and diagnostic methods. BRD leads to significant economic losses through direct impacts such as mortality, reduced growth rates, and lighter carcass weights, as well as indirect costs like market restrictions and long-term productivity declines. Diagnosing BRD is challenging due to its non-specific clinical signs and frequent subclinical presentations. Traditional diagnostic tools like clinical respiratory scoring (CRS) systems provide structure but suffer from low sensitivity and subjectivity. Behavioural monitoring shows promise by detecting early changes in feeding, movement, and social behaviours. Thoracic auscultation is widely used but limited in accuracy. Thoracic ultrasonography (TUS) stands out as a more sensitive method for detecting subclinical disease and correlating with growth outcomes. Combining CRS with TUS enhances early and accurate detection. Advancing diagnostic approaches is critical for improving animal health and minimizing economic losses in cattle production systems. Full article

In Australasian countries such as New Zealand, algae consumption is gaining in popularity within consumer markets. Beverages containing macro-algae, like kelp, and those containing micro-algae, such as spirulina, are considered novel products. While consumer preferences for algae-based products are well explored, less attention has been given to beverages, despite their importance for consumers, specifically those interested in health and well-being. The present study is dedicated to this research gap and investigates the key factors driving and hindering New Zealand consumers’ willingness to drink, pay a price premium, and spread word of mouth about micro-algae-based beverages, such as tea, smoothies, and cuppa soups. Theoretically, the present study is grounded in a seminal Australasian driver and barrier model of seaweed consumption. The current research design both confirms and extends the consumer behaviours previously examined. An online consumer study was distributed and collected via an opt-in panel provider, resulting in 437 responses. Consumers mirroring the NZ population in age, gender, and household income were the target sample, and descriptive statistics and a quantitative analysis via a partial least squares structural analysis served as the methodological foundation for the study. Food neophilia and involvement with algae were significant drivers for all three behavioural intentions investigated. Food neophobia was a significant inhibitor to the willingness to drink but not significantly related to the willingness to pay a price premium or spread word of mouth. Consumer perceptions of product attributes were a significant driver of New Zealand consumers’ willingness to spread word of mouth. The study provides best practice recommendations for marketers in Australasian beverage industries. In terms of its theoretical merit, two aspects stand out. Micro-algae beverages are an emerging beverage product category in Australasian markets, requiring wider exploration and complementary consumer research dedicated to algae-based food items. The focus on food neophobia and neophilia is original, as it helps to understand the barriers and drivers essential to beverages. In contrast to food items, beverages cannot hide novel ingredients such as micro-algae, making them simultaneously more appealing to food neophilic consumers and extremely challenging to food neophobic consumers. Full article

Oxytocin (OT) and vasopressin (AVP) are attracting interest as potential measures for dog welfare and human-dog interactions. The potential for detection and measurement of these two neuropeptides in canine saliva provides a viable alternative to more invasive collection methods. This scoping review aims to analyse the scientific literature measuring salivary OT and AVP in dogs, the methods employed, and the areas of research. A comprehensive search was conducted on the Web of Science, Scopus, and ProQuest platforms, yielding a selection of peer-reviewed, primary research studies that specifically measured dog salivary OT and/or AVP. The final selection comprised 16 articles from 2017 to 2024, offering insights into the methods employed for the collection, processing, and analysis of dog saliva samples. The findings highlighted significant variability in OT and AVP salivary concentrations, which also depended on the methods employed. The research areas of the included articles were primarily linked to the social and maternal behaviour spheres. This study draws from extant research to present an overview of the challenges associated with measuring salivary OT and AVP in dogs. It provides a comprehensive picture of this multifaceted issue, which is crucial for accurately interpreting these peptides as indicators of dog welfare. Full article

Background: Epigenetic mechanisms and RNA signalling profoundly impact body growth during the early stages of embryonic development. RNA molecules, like microRNAs, play a vital role in early embryonic development, laying the groundwork for future growth and function. miR-124-3p microinjected into mouse fertilised eggs (miR-124-3p*) exhibited a significantly overgrowth phenotype. Behavioural test results showed that miR-124-3p mice were more physically active, as indicated by total distance and movement velocity. However, the molecular mechanism leading to these phenotypic changes mediated by miR-124-3p remains a mystery. This study aimed to investigate the role of epidermal growth factor (EGF) in developing an overgrowth phenotype in miR-124-3p* mice. Results: In this research, we preferred to work with neurospheres (NSs) due to the challenges of handling a single embryo, as NSs exhibit similar features, especially regarding cell growth, differentiation, and capacity for self-renewal. We examined the mRNA expression levels of Sox8, Sox9, Sox10, Doublecortin (Dcx), and Neurod1 genes, which are linked to a tiny phenotype in knockout mice, in total embryos at E7.5 and hippocampal cells isolated from E19.5-day fetus and neurospheres aged 12 and 21 days, which were derived from these hippocampal cells through primary cell culture. These genes are significantly overexpressed in miR-124-3p* NSs, but not in the E7.5 total embryos or the hippocampus of the E19.5 fetus. Conclusions: These findings suggest a possible link between miR-124-3p microinjection and EGF activation, which may be associated with early neurogenesis and neuronal differentiation in embryos. This molecular shift might contribute to the development of mice exhibiting increased physical activity and enlarged body size, although these observations remain correlative and require further validation. Full article

The development of wave energy converters (WECs) faces several technical challenges, particularly enhancing the capturing efficiency, improving the conversion of mechanical to electric energy, and reducing energy losses in the transmission of electricity to land-based facilities. The present study is an assessment of the interaction between an oscillating buoy-type wave energy converter (WEC) and waves using experimental and numerical methods. A small-scale model was tested in a wave tank to evaluate its energy capturing efficiency, taking wave heights and periods as independent variables. The recorded data were used to validate OpenFOAM (version 9.0) simulations, which provided insights into system response characteristics. The findings highlight the critical role of resonance in optimizing energy capture, with maximum efficiency observed for medium wave periods, and with specific buoy configurations. The study also identified an inverse relationship between the capture width ratio and wave height, suggesting the need for customized buoy designs, tailored to specific sea states. The integrated approach used in this research provides a comprehensive understanding of WEC behaviour and offers valuable insights for advancing wave energy technologies and improving their sustainability and efficiency in diverse marine environments. Full article

Background/Objectives: Early childhood education and care is an ideal setting to promote healthy eating behaviours in young children. However, successful implementation and sustainment of healthy eating policies and practices remains a key challenge in the Australian early childhood education and care (ECEC) context. This study aimed to understand the contextual factors influencing early childhood education directors’ decisions to implement healthy eating policies and practices. Methods: Twelve directors from centre-based long day care centres in New South Wales, Australia, participated in semi-structured interviews. Interview data were analysed using reflexive thematic analysis and the Consolidated Framework of Implementation Research. Results: Directors (n = 12) described alignment with centre values and goals, compatibility with work infrastructure, local champions to lead implementation, and external partnerships with government support services as key facilitators. Directors identified a need for further support to address factors within the broader ECEC sector. Directors described a lack of external partnerships with the community, competing demands for available resources, unrealistic expectations from guidelines and parents, and inconsistent practices across settings as factors inhibiting implementation success. Conclusions: Implementation and sustainment of healthy eating policies and practices can be improved by strengthening parent and community partnerships, investment in the workforce, and a coordinated approach to the provision of support. Full article

Despite the widespread adoption of the Leadership in Energy and Environmental Design (LEED) rating system, there is limited empirical research examining how different sustainability categories are implemented in practice or how methodological patterns influence certification outcomes. This study contributes to this understanding by analysing LEED v4 Building Design + Construction certification patterns across 1252 newly constructed buildings in the United States to understand the methodological foundations and identify improvement opportunities for the LEED framework. Using credit achievement degree (CAD) analysis, regional variation assessment, and correlation analysis, we examined category adoption patterns across nine US climate regions, investigated relationships between LEED categories, and analysed certification level influences. The analysis reveals significant disparities in category adoption, with innovation (80.7%) and regional priority (66.6%) achieving high implementation rates while the category of material and resources (41.1%) consistently underperforms. Statistically significant regional variations exist across eight of nine categories (p < 0.05), with location and transportation showing the highest variability (CV = 20.1%). The category of energy and atmosphere demonstrates the strongest relationship with overall project performance (R² = 0.38), explaining 43% of total score variation and serving as the primary driver of higher certification levels. Most critically, inter-category correlations are weak (typically R² < 0.05), indicating that projects treat sustainability domains as separate challenges rather than integrated systems. Positive skewness across all certification levels (z-scores > 1.96) provides statistical evidence of strategic “point-chasing” behaviour, where teams target minimum thresholds rather than maximising comprehensive sustainability performance. These findings reveal fundamental methodological patterns that may limit LEED’s effectiveness in promoting holistic sustainability approaches. The compartmentalised implementation patterns and threshold-focused strategies suggest opportunities for structural refinements, including enhanced integration incentives, region-sensitive benchmarking, and certification frameworks that reward comprehensive rather than minimal compliance. This research contributes empirical evidence for evidence-based improvements to green building certification methodology and provides insights for more effective sustainability assessment tools. Full article

The welfare of decapod crustaceans held in captivity, whether in aquariums, holding facilities, seafood restaurants, supermarkets, or fishmongers, is attracting growing attention and concern. This review focuses on three species that are commonly found in European commercial environments: the European spiny lobster (Palinurus elephas), the European lobster (Homarus gammarus), and the American lobster (Homarus americanus). We examine the biology and behavioural ecology of these decapods, emphasising their natural habits and environmental requirements. Based on current scientific knowledge, we propose conditions for their confinement that better align with their biological and behavioural needs. These crustaceans are commonly subjected to stressful captive environments characterised by overcrowding, claw immobilisation through banding, an absence of shelter or hiding spaces, and continuous exposure to direct lighting. Such practices contrast starkly with the animals’ innate behaviours and natural habitats, likely compromising their physical health and psychological welfare. It is thereby recommended that spiny lobsters and lobsters be kept separated and stocked at an appropriate density, that each animal should be provided with a shelter and have enough space to turn around, that true lobsters should never have their claws tied, that no direct light should be placed above the aquaria, and that water quality should be routinely monitored. By exploring the welfare challenges associated with confining these species, this review aims to promote a more ethical and humane approach to their care in commercial settings, and to encourage practices that enhance their quality of life in captivity. Full article

The increasing application of plain bearings in various industries, especially under challenging conditions like thin lubricating films and high temperatures, necessitates effective monitoring to prevent failures and ensure reliable performance. While sensor-based monitoring incurs significant costs and complex installation due to physical sensors and data acquisition systems, model-based tracking offers a more cost-effective alternative. Model-based monitoring relies on mathematical or physics-based models to estimate system behaviour, reducing the need for extensive sensor data. However, reliable results depend on real-time capable and precise simulation models. Conventional real-time modelling techniques, including analytical calculations, empirical formulas, and data-driven methods, exhibit significant limitations in real-world applications. Analytical methods often have a restricted range of applicability and do not match the accuracy of numerical methods. Meanwhile, data-driven approaches rely heavily on the quality and quantity of training data and are inherently constrained to their training domain. Recently, Physics-Informed Neural Networks (PINNs) have emerged as a promising solution for model-based monitoring to capture complex system behaviour. This approach combines physical modelling with data-driven learning, allowing for better generalisation beyond the training domain while reducing reliance on extensive data. Thus, this study presents an approach for load monitoring in radial plain bearings using PINNs. It extends the application of PINNs by relying solely on simple sensor inputs, such as radial load and rotational speed, to predict the hydrodynamic pressure and oil film thickness distribution under varying stationary conditions. The real-time model is trained, validated, and evaluated within and beyond the training domain using elastohydrodynamic simulation results. The developed real-time model enables load monitoring in plain bearings by identifying critical hydrodynamic pressure and oil film thickness values using readily available speed and load sensor data under varying stationary conditions. Full article

Tuberculosis (TB) remains a critical public health issue in Johannesburg, South Africa, driven by a complex interplay of individual, social, and structural factors. This study assessed the syndemic relationship between these determinants to understand their collective impact on TB burden and treatment outcomes. A cross-sectional survey was conducted among TB patients attending selected clinics, examining behavioural risks (e.g., smoking, alcohol use, HIV co-infection), social conditions (poverty, overcrowding, stigma), and structural challenges (access to healthcare, migration status). The results revealed a significant co-occurrence of TB and HIV (56.1%), alongside high rates of smoking (33.1%) and alcohol use (45.2%). Unemployment (50.2%), inadequate housing, and limited healthcare access, particularly for undocumented migrants (26.2%), were also prominent. Factor analysis demonstrated a syndemic interaction between behavioural and social determinants, underscoring the compounded vulnerability of affected populations. The findings highlight the necessity of integrating medical interventions with social and structural reforms. Recommendations include TB-HIV co-management, substance abuse programmes, improved housing, and inclusive healthcare access. A multisectoral approach addressing both health and socioeconomic inequalities is critical for comprehensive TB control in urban South African contexts. Full article

Wood–plastic composites (WPCs) offer a sustainable alternative to solid wood, yet their heterogeneous structure presents challenges in laser machining due to thermal sensitivity and inconsistent material behaviour. This study investigates the optimization of CO₂ laser-cutting parameters for WPCs, focusing on feed rate and assist-gas pressure. Using a 1500 W CO₂ laser, a full factorial experimental design was employed to cut 18 mm thick WPC panels at varying feed rates (1000–3000 mm/min) and gas pressures (1–3 bar). Statistical analyses including MANOVA and linear regression were conducted to evaluate their effects on key machining responses: cutting depth, heat-affected zone (HAZ) width, cut-edge quality, and surface finish. Results indicated that feed rate significantly influences both cutting depth and thermal damage, while gas pressure plays a major role in improving surface quality and reducing HAZ. Optimal combinations were identified for various performance goals, and validation trials at the selected parameters confirmed alignment with predicted outcomes. The optimized settings yielded high-quality cuts with reduced HAZ and enhanced surface characteristics. This study demonstrates the effectiveness of a statistical optimization approach in refining CO₂ laser-cutting conditions for WPCs, offering insights for improved process control and sustainable manufacturing applications. This study also introduces a multi-objective optimization approach that verifies the interaction effects of feed rate and assist-gas pressure, enabling precise and efficient CO₂ laser cutting of 18 mm thick WPCs. Full article