Search Results (691)

The welfare of pet rabbits is frequently compromised despite increasing recognition of their complex behavioural and physiological needs. Although owner knowledge is considered an important determinant of animal care, the relationship between perceived knowledge and actual husbandry practices remains poorly understood. This study aimed to (i) describe husbandry practices and owner-reported knowledge among pet rabbit owners in Croatia and (ii) assess whether higher perceived knowledge is associated with greater alignment with recommended husbandry practices. Data were collected using an online questionnaire distributed to rabbit owners (n = 529). The study assessed owner-reported husbandry practices and perceived knowledge but did not include direct assessments of rabbit health or welfare. Although most respondents reported high levels of knowledge regarding rabbit care (85.6%), this was not consistently reflected in implemented husbandry practices. Higher perceived knowledge was significantly associated (p < 0.05) with environmental enrichment, housing type, and cleaning frequency, but these associations were generally weak to moderate. In contrast, perceived knowledge showed little or no association with several key welfare-related practices, including social housing and access to free movement, while only limited associations were observed for feeding practices. These findings reveal a substantial knowledge–practice gap, suggesting that confidence in rabbit care knowledge does not necessarily translate into appropriate husbandry. Therefore, educational approaches focused solely on information provision may be insufficient to ensure the implementation of recommended husbandry practices. Full article

Automatic gesture and movement recognition techniques are mainly used with adults for various purposes in public, clinical, and laboratory settings. Growing interest in this field has led to the increasing application of these methods in child behavioural analysis to serve different societal and educational functions. However, manual human annotation of behaviours remains the predominant method, and only a limited number of studies have explored the use of automatic recognition for children. This review aims to evaluate the rapidly developing techniques of automatic gesture and movement recognition that focus on child behaviour analysis across different settings and for different purposes. More specifically, it analyzes their purposes, target groups, settings, accuracy, and limitations, as well as the ethical issues and data privacy frameworks that should be considered in child-centred AI. Using a systematic review approach following the PRISMA guidelines, this study examines research published between 2021 and 2025 in four databases: Web of Science (WoS), Scopus, PubMed, and IEEE Xplore. From a total of 27 included studies, the findings reveal that automatic gesture and movement recognition is being applied across multiple fields, with consideration of children’s developmental needs. However, a critical gap in technical reporting was identified: fewer than half of the included studies (44%) provided accuracy metrics or clinical validity. Furthermore, evidence of robust ethical safeguards remains limited. To support children’s well-being, future studies must bridge the lab-to-field gap, prioritize natural research settings and enforce ethical and data protection measures. Full article

This paper explores how children perceive and use outdoor spaces in their everyday urban environment, and which spatial characteristics encourage engagement, autonomy, and diverse play. This study was conducted using child-led sensory walks—an exploratory qualitative method in which children acted as active research guides—with ten children aged 6 to 11 in residential areas of Zagreb. Verbal comments, movement patterns, and play behaviours were recorded and analysed through thematic analysis. Following the walks, eleven public playgrounds were assessed from a landscape architecture perspective, integrating children’s observations with an expert evaluation of spatial organisation, shade provision, connectivity with surrounding green spaces, and potential for unstructured play. The results reveal a pronounced preference for natural and semi-natural spaces, where children exhibited longer stays, more diverse physical and symbolic play, and a greater sense of autonomy. These findings affirm the relevance of affordance theory and multisensory experience in understanding children’s spatial behaviour and demonstrate the potential of the sensory walk as a transferable research and design tool in landscape architecture practice. At a broader scale, they point to the untapped role that playgrounds—redesigned as genuine green infrastructure nodes—could play in advancing urban climate adaptation goals at the neighbourhood scale. Full article

This study presents a replicable diagnostic framework for analysing latent safety vulnerability at complex junctions by integrating UAV-based observation, trajectory extraction, movement-level operational performance modelling, and regulatory benchmarking. Grounded in Vision Zero/Safe System principles, the approach is demonstrated at Junction 50 of the A-66 motorway in Mieres (Spain), a constrained urban interchange where motorway access/egress overlaps with local cross-town movements. Two one-hour UAV datasets were collected during peak periods and processed with GoodVision to extract trajectories, turning-movement counts, origin–destination patterns and recurrent irregular manoeuvres. These outputs were combined with SIDRA INTERSECTION indicators (e.g., LOS, delay and capacity utilisation) and assessed against the Spanish geometric design standard to identify design–operation misalignment, including a targeted 3D sight-distance check at the stop-controlled exit. The results show systematic behavioural adaptations at critical decision points, including informal side-by-side queuing at nominally single-lane exits and queue bypassing via adjacent auxiliary areas, co-occurring with capacity-strained movements (LOS E–F) and normative inconsistencies in lane type/length and channelisation. The framework translates high-resolution behavioural evidence into intervention-relevant outputs (critical movements, concentration zones and explicit design–behaviour mismatches) without relying on crash frequency as the primary signal, supporting proactive prioritisation in constrained legacy layouts. Full article

Objectives: Karting imposes high neuromuscular demands on the forearm during dynamic steering, gripping and braking. This study examined whether a single high-velocity, low-amplitude (HVLA) manipulation of the elbow acutely modified surface EMG_RMS amplitude and EMG median frequency responses during standardized isometric forearm testing after simulated karting load, rather than EMG activity during dynamic driving itself. Methods: In this randomized, sham-controlled, within-subject trial, 15 drivers completed a single-session within-participant protocol in which one upper limb was randomly allocated to receive elbow HVLA manipulation (manipulated limb) and the contralateral limb received a standardized sham procedure (sham limb) involving therapist contact and low-grade oscillatory movement without end-range pre-tension or thrust. Drivers completed two 8 min simulated races separated by the allocated manual procedure. Surface electromyography (EMG) from four forearm muscles was collected outside the karting task during standardized laboratory-based isometric forearm contractions at baseline, after race 1, post-intervention, and after race 2. EMG was not recorded during real-time steering, braking, vibration exposure or competitive driving. The extensor carpi radialis (ECR) was specified as the principal muscle of interest because the HVLA technique pre-tensioned the common extensor origin and radial wrist extensors. The primary outcome was ECR mean EMG_RMS amplitude, expressed in µV, across the four measurement time points; the primary statistical test was the condition × time interaction. ECR maximal EMG_RMS amplitude and ECR median frequency were treated as secondary outcomes, whereas ECU, FCR, and FCU outcomes were treated as exploratory anatomical specificity outcomes. Mixed-model ANOVAs compared maximal and mean EMG amplitudes and median frequency between manipulated and sham limbs, treating limb condition and time as repeated within-participant factors. Results: For the primary outcome, ECR mean EMG_RMS amplitude showed a main effect of condition (p = 0.023) and a condition × time interaction (p < 0.001). As a secondary amplitude outcome, ECR maximal EMG_RMS amplitude showed a main effect of time (p = 0.009) and a condition × time interaction (p < 0.001), with higher post-manipulation values in the manipulated limb. No consistent limb-condition effects were found for the other muscles, and EMG median frequency showed only modest time-related changes (p = 0.031) without between-condition differences. Conclusions: A single-elbow manipulation produced short-lived, muscle-specific increases in ECR activation after simulated racing, whereas broader neuromuscular changes were not evident. These findings indicate only transient modulation of ECR surface EMG amplitude in a small sample of screened karting drivers and do not demonstrate improved recovery, neuromuscular efficiency, sport performance, or injury prevention. Because EMG was assessed during standardized isometric contractions rather than during dynamic steering, braking, vibration exposure or competitive racing, the findings should not be interpreted as direct evidence of altered neuromuscular behaviour during actual kart driving. Larger studies including force, performance, clinical, fatigue-specific and dynamic driving EMG outcomes are required. Full article

Soccer support staff operate under demanding schedules and high-performance environments while guiding players’ movement, sleep, and nutrition; however, their own lifestyle behaviours remain under-researched. This exploratory study assessed adherence to the Canadian 24-Hour Movement (24HM) guidelines and its association with diet quality (DQ) in professional and semi-professional soccer support staff. Methods: A cross-sectional survey collected data from 236 staff in the United Kingdom and Spain. Movement behaviours were measured using the Whole Day Matters Toolkit and DQ using the validated Mini-EAT questionnaire. A graded 24HM score (0–8) summed binary adherence across four general (MVPA, LPA, sedentary time, sleep) and four secondary (muscle-strengthening, sedentary interruptions, screen time, sleep–wake time) behaviours. Associations with DQ were estimated using adjusted multiple linear regression. Results: Only 7.6% of participants met all eight guidelines. Each one-point increase in the graded score was associated with 0.89-point higher DQ (95% CI 0.29–1.49, p = 0.004), with stronger associations observed for secondary behaviours (β = 1.27, p = 0.006) than for general behaviours (β = 0.38, p = 0.50). Conclusions: A graded 24HM scoring approach showed a graded association with DQ in soccer staff, with secondary movement behaviours showing a stronger association. All findings should be interpreted as exploratory and hypothesis-generating. ClinicalTrials.gov: NCT06771752. Full article

Background: Physical inactivity and sedentary behaviour are major public health concerns associated with an increased risk of non-communicable diseases, reduced quality of life, and substantial healthcare burden. In recent years, technology-based interventions, including wearable devices, mobile health applications, artificial intelligence-driven systems, and adaptive digital platforms, have been increasingly adopted to promote physical activity and reduce sedentary time in adult populations. However, the evidence remains fragmented across intervention types, behavioural targets, and population groups. The aim of this scoping review was to map the recent literature on digital interventions designed to promote active lifestyles in adults, with a specific focus on their reported impact on physical activity promotion and sedentary behaviour reduction. Methods: This scoping review was conducted in accordance with the PRISMA-ScR guidelines. A literature search was performed in PubMed and Scopus using a predefined search strategy combining terms related to digital technologies, physical activity, sedentary behaviour, and adult populations. Studies published in English between 2022 and 2026 were considered. After removal of duplicates and screening of titles and abstracts, full texts were assessed according to predefined eligibility criteria. Data were charted descriptively and synthesised narratively to identify the main intervention models and emerging research trends. Results: The search identified 887 records, of which 35 studies were included in the final synthesis. The literature included was grouped into four broad categories: wearable devices and mHealth tools for monitoring and goal-setting; adaptive interventions based on Just-In-Time Adaptive Interventions, artificial intelligence, and gamification; advanced technologies such as Internet of Things systems and exoskeleton-based approaches; and hybrid interventions combining digital tools with human support or environmental modifications. Overall, technology-based interventions were generally associated with increases in step count, moderate-to-vigorous physical activity, and adherence to movement-related behaviours. In contrast, their effectiveness in reducing sedentary behaviour was less consistent and appeared to depend more strongly on context-sensitive prompting, posture-focused strategies, and multicomponent or hybrid intervention models. Conclusions: Digital health interventions represent a promising strategy for promoting physical activity in adults, but their impact on sedentary behaviour reduction remains more limited and heterogeneous. The findings suggest that simply increasing exercise is not sufficient to address prolonged sitting and that more tailored, adaptive, and context-aware approaches are needed. Future research should prioritise methodological standardisation, longer follow-up periods, and interventions specifically designed to interrupt sedentary time across different adult populations. Full article

Over the past two decades, the concept of physical literacy (PL) has gained increasing attention across research and policy domains. Grounded in holistic and embodied theoretical frameworks, PL encompasses physical, affective, cognitive, and social dimensions that underpin lifelong engagement in movement. Global policy frameworks, including the World Health Organization’s Global Action Plan on Physical Activity (2018–2030) and UNESCO’s Guidelines for Quality Physical Education, highlight PL as a foundation for health and wellbeing. Despite this recognition, research examining the associations among PL, physical activity (PA), and mental health in Mediterranean contexts remains scarce. This study examined the interrelationships among perceived PL, PA, and MH in a sample of 542 Cypriot children and adolescents aged 6–18 years. Participants completed the Perceived Physical Literacy Instrument (PPLI), the Physical Activity Questionnaire for Older Children (PAQ-C), and the Depression, Anxiety, and Stress Scale (DASS-21). Structural Equation Modelling (SEM) was used to test direct and indirect effects, and multi-group analyses explored measurement and structural invariance across gender and age. Results indicated that higher perceived PL was associated with better MH, both directly and indirectly through increased PA. Boys and younger participants reported higher PA levels, whereas adolescents displayed higher symptoms of depression, anxiety, and stress. However, the structural relationships among PL, PA, and mental health were consistent across genders. The findings highlight the role of PL as a multidimensional determinant of youth wellbeing and underscore the importance of promoting physical literacy aligned behaviours from early childhood within educational and community settings. Full article

Conventional quadruped robots are usually built with a rigid body, whereas quadrupedal mammals have flexible spines to perform agile behaviours on rough terrains. Applying a flexible spine to robots is a promising way to achieve dynamic and stable movement in extreme environments. In this paper, a novel bio-inspired spine constructed with a tensegrity structure is introduced. The prototype of the spine includes active and passive parts that can both be actively actuated and passively compliant. It has two joints with three degrees of freedom (DOF) each and can generate complex and multi-degree motions simultaneously. To control the spine with adjustable stiffness, a method based on vector closure and adjustment of pretension ratio is proposed. Several experiments are reported to illustrate the physical design of the spine and demonstrate the properties of the spine. The results demonstrate its capabilities of both active motion and passive compliance, which may improve adaptability in complex environments. Future work includes attachment of the spine to a quadruped robot to increase the overall workspace and generate rich motion skills. Full article

Habitat selection is often activity-specific, as animals may use different environments depending on whether they are foraging, breeding, or moving through the habitat. Behavioural studies of nocturnal species are challenging, and conventional methods are limited in their applicability. In this study, we tested a thermal drone in combination with Artificial Intelligence (AI) for focal animal sampling and habitat use of mesopredators. A drone mounted with a thermal video camera recorded the movements and behaviours of red foxes (Vulpes vulpes), European badgers (Meles meles), and Eurasian otters (Lutra lutra), while simultaneously geocoding their position. Additionally, we tested an AI-based analysis, LabGym for species and behaviour detection of video recordings. In Danish agricultural areas, both habitat separation and spatial overlap among the three mesopredators, were observed. Foxes showed a higher degree of versatility in both behaviour and habitat choice compared to badgers and otters. Otters were primarily found near water bodies, while badgers preferred foraging under tree cover and in meadows. The optimised LabGym achieved 80.4% mAP for species identification and successfully classified four behaviours with more than 80% accuracy. Using the thermal drone in combination with geolocation data and AI enables spatial mapping of mesopredator activities, adding valuable insights into predator ecology. Full article

This study examines how individual political predispositions and national mobilisation contexts jointly structure protest participation in contemporary Europe across the pre-pandemic, pandemic and post-pandemic periods. Using data from Rounds 9, 10 and 11 of the European Social Survey (2018–2023), the analytical sample includes 106,106 respondents from 33 countries. Descriptively, protest participation remains a minority behaviour, yet displays pronounced cross-national heterogeneity, with participation rates ranging from below 3% in several Central and Eastern European countries to nearly 20% in the most mobilised contexts and remains remarkably stable across rounds at approximately 8.5%. Building on resource mobilisation theory, political process approaches and New Social Movements perspectives, the analysis conceptualises protest participation not as an isolated behavioural act but as the outcome of interactions between individual resources, evaluative orientations toward democratic institutions and broader mobilisation environments. Logistic regression models, country fixed-effects specifications and multilevel models with random intercepts are used to assess these relationships. At the individual level, political engagement emerges as the strongest predictor of participation: higher political interest is associated with substantially higher protest propensity, while ideological self-placement indicates lower participation among respondents positioned further to the right. Younger age and higher education also increase participation. Lower satisfaction with democracy and stronger perceptions of inequality are consistently associated with protest behaviour, supporting grievance-based interpretations linked to democratic evaluations rather than material deprivation alone. Country fixed-effects and multilevel models confirm that these individual-level associations are robust within countries, while significant between-country variation persists (random-intercept SD = 0.554), indicating that national mobilisation environments shape baseline levels of protest participation. Multilevel results further reveal that protest participation was significantly lower during the pandemic period (Round 10) relative to the pre-pandemic baseline, with only partial recovery in the post-pandemic period. A cross-round comparison demonstrates that the core individual-level associations are stable across all three periods, indicating that these relationships reflect durable structural patterns rather than dynamics specific to any particular mobilisation cycle. Beyond this overall stability, the analysis identifies two theoretically informative exceptions: subjective financial difficulty is significant only in the pre-pandemic period and gender differences in protest participation attenuate over time—patterns consistent with broader shifts in protest repertoires during and after the pandemic. These findings make three contributions to the comparative literature on contentious politics. First, by extending the analysis across three ESS rounds, the study demonstrates the temporal robustness of individual-level determinants of protest—an empirical question rarely addressed in the existing literature. Second, the multilevel design with round fixed effects allows for direct estimation of pandemic-related suppression and post-pandemic recovery in protest activity at the aggregate level. Third, the cross-national scope and temporally structured comparison provide new evidence on how individual political predispositions interact with shifting mobilisation environments across a period of exceptional socio-political strain in Europe. Full article

Sand grain size strongly influences the physical and hydraulic behaviour of sandy soils, particularly water retention, pore distribution, and water movement under unsaturated conditions. This study evaluated the effect of five sand grain-size classes, ranging from very coarse to very fine, on pore distribution, aeration, water retention, and unsaturated hydraulic conductivity. Quartz sand samples with different particle sizes were saturated and subjected to matric tensions ranging from 10 to 15,000 hPa. Very fine sand (0.053–0.106 mm) showed the highest field capacity (0.38 m³ m⁻³) and available water content (0.30 m³ m⁻³), which were associated with a predominance of pores between 0.2 and 3 μm in diameter. In contrast, coarser sand fractions were dominated by macropores (>50 μm) and exhibited lower water retention. Permanent wilting point values remained low and similar among grain-size classes (≈0.02 m³ m⁻³). Under unsaturated conditions (matric tensions > 100 hPa), very fine sand exhibited hydraulic conductivity values up to ten times greater than those of coarser fractions. Overall, decreasing sand particle size increased water retention and plant-available water while reducing macroporosity and aeration capacity. These findings demonstrate that sand grain-size distribution plays a major role in regulating water dynamics in sandy soils and may support the development of more efficient irrigation and soil management strategies to improve water conservation and plant water availability in drought-prone environments. Full article

Wearable devices increasingly capture biosignals such as electrocardiograms, photoplethysmograms, inertial signals, and electrodermal activity during daily life, enabling earlier detection and continuous monitoring outside the clinic. Real-time edge machine learning can convert these streams into timely, privacy-preserving inference by placing computation on a wearable (device-only) or a paired phone, with intermittent cloud assist used selectively for dashboards, summarisation, and lifecycle management. Clinical adoption remains uneven because free-living data are noisy, labels are often delayed, and device ecosystems evolve over time. This narrative review organises the literature as an end-to-end deployment pathway: sensing and artefact management, streaming windowing and multimodal alignment, and model families suited to on-device inference. We compare classical feature-based pipelines with learned representations, including compact CNN/TCN and recurrent and efficient attention-based models, and discuss when self-supervised pretraining and distillation are most useful in low-label settings. We then synthesise deployment engineering levers (quantisation, pruning, and distillation) and benchmarking requirements, emphasising runtime constraints that determine feasibility: latency per update, peak RAM, energy per inference, duty cycle, and thermal behaviour. Applications are grouped across cardiovascular monitoring, blood pressure and haemodynamics, sleep and respiration, and movement and stress, with explicit attention to false-alert burden, adherence, and workflow integration. To support translation, we provide a validation ladder and a reliability toolkit covering calibration, uncertainty-aware thresholds and deferral, drift monitoring triggers, and safe update governance. The novelty of this review is a deployment-oriented synthesis that ties modelling choices to edge tiers and resource budgets and provides reusable reporting templates, including an edge-cost card and comparative tables spanning modalities, models, deployment levers, applications, and reliability requirements. Full article

Limb movement is an important component of control during safety-critical tasks such as driving. Restricted movement, such as limitations associated with an injury or surgery to the upper limb, may impact driving safety. However, the degree of upper limb movement required for driving is not well described outside of traditional laboratory settings. There is a need for new affordable, accessible, reliable and accurate measures of normative limb movement to guide decisions about driving capacity. This feasibility study applied a volume estimation approach to wrist-worn triaxial accelerometry data to quantify upper limb movement during naturalistic driving in a young adult population. A sample of 89 participants wore accelerometers while engaging in daily driving activity over a two-week period. Results demonstrated a distribution of movement volumes, consistent with variation in individual driving behaviour. This volume estimation approach has strong potential for further development as both a research tool and clinical assessment method, particularly in rehabilitation and return-to-driving assessments following upper limb injury or surgery. Full article

Adherence to the 24-h movement guidelines (24-HMG), which integrate physical activity (PA), sedentary behaviour, and sleep, may be relevant to university students’ mental health, yet evidence in this population remains limited. This cross-sectional study aimed to estimate adherence to the 24-HMG, identify associated correlates, and examine whether meeting a greater number of guidelines was associated with more favourable mental health profiles in Spanish university students. A total of 1469 students (mean age = 21.6 ± 3.14 years; 71% women) completed validated self-report measures of physical activity, sedentary behaviour, sleep duration, psychological distress, self-esteem, and resilience. Adherence was defined according to the Canadian adult 24-HMG, and a global adherence index (0–3) was calculated. Concurrent adherence to all three guidelines was low and varied markedly across academic fields, ranging from 22% in Sport Sciences to 1.6% in Engineering and Architecture. Women showed lower odds of meeting the physical activity recommendation and of meeting all three guidelines. Greater adherence was associated with a lower likelihood of unfavourable mental health profiles, particularly low self-esteem and low resilience. These findings suggest that adherence to the 24-HMG was low in this sample of university students and support the development of integrated, context-tailored interventions targeting movement behaviours and mental health in university settings. Full article