Search Results (1,946)

Ticks harbor complex microbial communities composed of symbionts, commensals, and tick-borne pathogens (TBPs). Together, these microorganisms form the tick holobiont. Within this system, the tick’s physiological architecture structures microbial communities by distributing microorganisms across distinct tissues. This compartmentalization creates spatially distinct ecological niches, which in turn shape how microbial communities assemble and interact. In this review, we integrate ecological theory with current knowledge of tick microbiome research to examine how pathogen–pathogen and pathogen–microbiome interactions emerge within these tissue-structured microbial communities. We first outline how baseline ecological filters, including tick species, developmental stage, tissue identity, vertical transmission, and environmental context, shape the microbiome configuration through community assembly processes. We then examined how TBPs, as high-impact colonizers, can further modify microbial networks by altering host-mediated selective pressures, influencing interaction topology, and reshaping community stability. Based on these observations, we propose a dual selective pressure framework in which (i) baseline ecological structuring processes and (ii) pathogen-associated selective pressures interact to determine the microbial network configuration and functional outcomes within the tick holobiont. These interacting forces may drive shifts in diversity, modularity, keystone taxa emergence, and network resilience, ultimately influencing vector competence. This review frames the microbial communities within the tick holobiont as spatially structured ecological systems shaped by multilevel selective pressures. This conceptual foundation provides a coherent framework for understanding microbial interactions in arthropod vectors and highlights avenues for mechanistic research and microbiome-based strategies to mitigate tick-borne diseases. Full article

This study examines how military professionals interpret claims about decision making in volatile, uncertain, complex, and ambiguous (VUCA) environments. A survey of active-duty personnel (N = 225) from the Norwegian Armed Forces (2024–2025) was used to assess whether endorsement of Klein’s 11 decision-making claims reflects a unified construct or several distinct decision-making beliefs. After removing two items with insufficient communalities, exploratory factor analysis (principal axis factoring with Oblimin rotation) was conducted on the remaining nine items. Sampling properties were adequate (KMO = 0.741; Bartlett’s χ² (36) = 282.86, p < 0.001). Comparative model testing indicated that a two-factor structure provided a better fit than a unidimensional model, accounting for 29.24% cumulative variance. The resulting dimensions—Planning/Structure (e.g., “Identify and mitigate risks,” loading 0.618) and Analytic/Evidence-based practices (e.g., “Prefer logic over intuition,” loading 0.556)—showed acceptable internal reliability (α = 0.65 and α ≈ 0.71). These findings suggest that military professionals’ endorsement of Klein’s framework is not unidimensional but instead reflects two complementary attitudes about effective decision making. This bifactorial structure offers a theoretically grounded basis for advancing research on adaptive decision making in the military and other high-stakes operational contexts. Full article

Introduction: Work engagement among nurse case managers is central to safe, efficient, person-centred care, yet organisational and team-level factors that support engagement or mitigate burnout remain poorly synthesised. Aim: To map organisational and team-level strategies that enhance work engagement or reduce burnout among nurse case managers and aligned roles, as well as to consider their applicability to Gulf health systems. Method: We conducted a scoping review in accordance with the Arksey and O’Malley framework as refined by Levac et al. and reported it in line with PRISMA-ScR and PRISMA-S guidance. Six databases and targeted sources were searched for English-language records published between 2015 and 2025. Two reviewers independently screened titles/abstracts and full texts against predefined eligibility criteria, charted data using a piloted form, and synthesised findings thematically against Job Demands–Resources (JD-R) domains. Results: Of 303 records identified, 248 were screened after deduplication, and 11 studies were included. Across nine health systems, findings were mapped to three JD-R domains: job resources, job demands, and personal resources. The most recurrent resource-related strategies involved structural supports, staffing stability, coordination infrastructure, and supportive leadership or team practices. Key demands included role complexity, high caseloads, coordination workload, discharge pressures, and staffing instability. Personal-resource approaches were fewer and mainly involved stress management, communication, and reflective practice interventions. Engagement was infrequently measured directly, and only one empirical intervention study originated from a Gulf health system. Conclusions: This JD-R-informed scoping review suggests that strengthening structural, staffing, and coordination resources, alongside supportive leadership and team climates, may be important for sustaining engagement and limiting burnout among nurse case managers. However, these findings should be interpreted as exploratory signals that map the current evidence landscape rather than definitive evidence of effectiveness. Multi-component JD-R-informed bundles in Gulf region health systems should therefore be prioritised for context-sensitive co-design, piloting, and evaluation. Full article

Image communication represents a fundamental domain of human experience that intersects cognitive neuroscience, educational psychology, and visual communication theory. The increasing digitalization of contemporary society has amplified the importance of visual literacy, defined as the ability to interpret, use, and create visual media. While neuroscientific research highlights the brain’s proficiency in processing visual information, significant gaps remain in understanding the underlying psychological mechanisms and their practical applications in educational contexts. This study proposes a multidisciplinary research design to systematically analyze these psychological dimensions. The research will integrate cognitive, perceptual, and pedagogical perspectives to understand how visual representations influence learning. The methodological design includes a multi-method approach combining experimental analysis, ethnographic observation, and psychometric evaluation on a stratified sample of 240 participants (aged 16–25) divided into three groups: high school students (n = 80), university students (n = 80), and young professionals (n = 80). The proposed methodology will utilize eye-tracking to analyze visual perception patterns, integrated with semantic differential methods to evaluate cognitive and affective associations with visual imagery. The expected results should clarify how the effectiveness of image communication depends on the coherence between technical and semantic aspects of visual imagery. The research aims to contribute to the theoretical framework of educational neuroscience, offering empirical evidence for optimizing teaching strategies based on multimodal visual communication. Full article

The sustainability of information poses an ever-greater challenge in the digital age, particularly within local media ecosystems, where access to technology does not necessarily lead to informed participation or stronger ties with institutions. In contexts such as Ecuador, persistent inequalities shape the way people access, use and trust information, reinforcing complex forms of the digital divide. This study analyses how the sustainability of information is reflected in media consumption patterns and levels of institutional engagement within a regional context. Based on a survey of 1784 people in the province of Imbabura, the study applies a combined approach using cluster analysis and random forest models to identify distinct audience profiles. The results reveal four distinct groups, demonstrating that the intensity and diversity of media use are more relevant than mere digital access. High levels of digital use do not guarantee greater institutional engagement; instead, hybrid patterns emerge that combine traditional, digital and institutional media in different ways. The findings show that digital access alone is not sufficient to ensure information sustainability or the formation of institutional opinion. From a public policy perspective, universities and public institutions should promote digital literacy, build trust and design more targeted communication strategies to reduce information inequalities and foster informed participation. Full article

Peru’s recent national mental health (MH) reforms aim to decentralise care and expand access to MH services for rural populations by integrating services into primary healthcare through the expansion of Community Mental Health Centres (CMHCs). Evidence on the implementation of these reforms at the local level remains limited. This qualitative study aimed to (i) describe the structure and implementation framework of MH services, (ii) analyse local understandings of MH; and (iii) examine pathways to care and identify barriers and facilitators to MH service implementation from both the supply (service providers) and demand (users and community members) perspectives. MH services were mapped across three provinces of northern Peru using a review of national MH policies, 2 focus group discussions, and 31 semi-structured interviews. Data were analysed thematically to explore local understandings of MH, pathways to care, and health system barriers. Local understandings of MH are shaped by cultural beliefs, social norms, and economic conditions, with many individuals experiencing distress initially relying on family networks or traditional healers. Stigma and expectations of a quick recovery hinder engagement with formal services. While the expansion of CMHCs has improved geographical access to specialised care in rural areas through proximity and being patient-centred, the implementation of respectful provider interactions remains uneven. Weak referral pathways and limited coordination between primary care centres and CMHCs frequently shift the responsibility for navigating care onto users and their families. Family involvement and culturally sensitive practices foster trust and support continued engagement. Persistent challenges include the limited capacity of service providers, high staff turnover, and the follow-up mechanisms, stigma, and tensions between cultural and biomedical understandings of MH. Peru’s expansion of CMHCs represents a significant health system reform to improve equitable access for rural populations. To sustain these gains, it will be necessary to strengthen workforce stability, clarify referral processes, and integrate culturally responsive approaches within primary care systems, offering lessons for similar resource-constrained contexts. Full article

Background/Objectives: Communication decline is a hallmark of dementia, yet speech-language outcomes remain marginal in much of the virtual reality (VR) dementia literature. This evidence review synthesises empirical work on how VR has been used to support, train, or assess communication in dementia, positioning VR as a communication platform rather than only a cognitive tool. Methods: A structured search (2000–2025) across CINAHL, PubMed, PsycINFO, Scopus, and Web of Science was supplemented by reference list checking. Eleven empirical studies met eligibility criteria, spanning immersive and non-immersive VR used with people living with dementia, and VR-based communication training for caregivers, care staff, and clinicians. Findings were synthesised thematically through an explicit communication lens. Results: Evidence most consistently supports VR as a scaffold for communicative engagement and participation. Immersive and shared VR experiences commonly elicited increased verbal involvement, shared attention, and interactional responsiveness during or immediately after sessions, particularly when content was socially meaningful and appropriately paced. A second strand of work uses VR simulation to train communication partners, with participants reporting high acceptability and perceived improvements in confidence and strategy use, although behavioural transfer to real-world care is rarely measured. Assessment-oriented studies and stakeholder perspectives highlight VR’s potential to elicit functional behaviour in context and to complement clinic-based assessment, but communication validity is typically inferred rather than operationalised using standardised measures. Conclusions: VR shows early promise for dementia communication care, especially as an adjunct that structures interaction, supports participation, and scales communication training. Progress now depends on communication-specific intervention design, agreed outcome metrics capturing discourse and functional participation, and implementation studies addressing accessibility, cultural-linguistic diversity, and transfer to everyday care. Full article

Educational robotics (ER) and robotics competitions offer an effective context for developing STEM (Science, Technology, Engineering, and Mathematics) competencies, technical skills, and soft skills in engineering degrees. However, current platforms reveal a pedagogical and technical gap: closed commercial systems restrict access to hardware, while open solutions frequently lack a robust and structured architecture for educational settings. Moreover, in both cases, many platforms do not achieve the hardware requirements of the most demanding competitions. To address this issue, the present article presents the design, implementation, and validation of EASYbot, a modular open-hardware robotics platform based on Arduino. The system integrates a microcontroller, a dual USB–battery power supply, high-performance motor power stages, and a plug-and-play interface for input/output and communication peripherals, enabling its use in several competition categories such as mini-sumo or maze robots. The platform is complemented by a state-based programming model and supports libraries that facilitate a learning assessment. The platform provides a scalable ecosystem, enabling students to progress from initial prototyping to optimised hardware control. The validation process encompasses a range of assessments, including technical tests, usability, and adoption evaluation through surveys. Full article

Promoting the green development of large public buildings is a crucial pathway toward environmental sustainability. As a type of public building characterized by both high energy consumption and high public engagement, green stadiums provide an important setting for examining whether building-embedded green features are visible, understandable, and valued by users. In this sense, green stadium consumption intention is treated in this study as a building-related outcome that reflects user acceptance of green building spaces and services rather than as a generic green marketing preference alone. This study examines the effects of Green Facility Visibility, Perceived Green Communication, and Green Interactive Experience on Millennials’ Green Stadium Consumption Intention, while investigating the parallel mediating roles of Green Self-Efficacy and Future Orientation. A sample of 976 millennial users was surveyed. The hypothesized model was tested using covariance-based structural equation modeling (CB-SEM), and Bootstrapping was employed to validate the significance of the mediating effects. Findings reveal that: (1) Green Facility Visibility and Perceived Green Communication significantly and positively influence Green Stadium Consumption Intention, whereas the direct effect of Green Interactive Experience is insignificant; (2) Green Self-Efficacy mediates the relationships between Green Facility Visibility, Perceived Green Communication, and consumption intention; and (3) Future Orientation similarly mediates the relationships between Green Facility Visibility, Perceived Green Communication, and consumption intention. Rather than proposing a major theoretical breakthrough, this study offers a context-specific extension of green consumption research by introducing Green Self-Efficacy and Future Orientation as parallel mediators in a stadium setting. The findings show how building-related green cues and user cognition jointly shape the acceptance of green stadiums, thereby providing evidence relevant to the design, operation, and evaluation of public-facing green buildings. Full article

The explosive growth of temporal graph data has led to significant training overheads for Dynamic Graph Neural Networks (DGNNs), a bottleneck primarily driven by massive data movement between host processors and storage arrays across conventional PCIe I/O buses. While near-data processing with Computational Storage Devices (CSDs) can alleviate this bottleneck, a single CSD is inherently incapable of meeting the terabyte-scale capacity requirements and complex sequence modeling demands of modern large-scale DGNNs. Horizontal scaling with multi-CSD clusters over standard PCIe topologies presents a viable, cost-effective solution, yet our in-depth profiling identifies two critical architectural bottlenecks in naive multi-CSD architectures: host-bounced memory copies significantly compromise inter-device communication efficiency, and sparse graph sampling frequently exceeds the capacity of the tightly constrained local DRAM of CSDs, resulting in excessive flash I/O and performance degradation. To address these interconnected bottlenecks, we propose M-DGNN, a hardware–software co-designed architecture optimized for standard PCIe interconnects. First, M-DGNN orchestrates direct peer-to-peer (P2P) DMA dataflows for inter-CSD hidden state exchange, completely bypassing host operating system intervention and reducing the context-switching overhead. Second, we design a host-assisted caching strategy with a Host-Pinned Memory Extension (HPME) mechanism, which leverages host-pinned memory as an asynchronous DMA extension pool to shield resource-constrained CSDs from high-latency flash I/O during structural subgraph sampling. Extensive experimental evaluations across seven large-scale dynamic graph datasets demonstrate that M-DGNN delivers up to a 6.2× end-to-end speedup over the state-of-the-art DGNN systems. This work establishes an efficient, scalable near-data computing paradigm for large-scale DGNN training. Full article

Background: Nursing student experiences in the clinical learning environment have been described in many countries but less is known about student nurses in rural settings. Aim: To explore undergraduate nursing students’ experience of clinical placement in a rural setting and identify factors that influence their experience. Methods: A cross-sectional observational study was conducted with a convenience sample of 170 undergraduate nursing students in regional Victoria, Australia, who completed professional experience placements between January and June 2020. Following their placements, participants completed the Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) scale. Data were analysed using logistic regression models. Results: Completing clinical placements in medium to small rural towns or remote and very remote communities were associated with increased odds of high scores in the learning environment [odds ratio (OR) 2.90, 95% CI, 1.32 to 6.37; P = 0.01] and the supervisory relationship domains (OR 3.16, 95% CI, 1.40 to 7.14; P = 0.01). Female gender (OR 3.38, 95% CI, 1.12 to 10.19; P = 0.03), supervision by staff other than an educator (OR 2.71, 95% CI, 1.16 to 6.33; P = 0.02) and increased frequency of ad hoc (extra) supervision with a buddy nurse without the nurse educator (OR 2.55, 95% CI, 1.07 to 4.75; P = 0.03) were associated with increased odds of high scores in the role of nurse educator domain. Conclusions: In this study, nursing students reported valuing their exposure to smaller and more remote communities, the learning environments within rural and remote healthcare facilities, and the relationships they developed with supervising nurses. The findings also suggest that some students perceived greater value in supervision provided by clinical staff who were not in formal nurse educator or nurse facilitator roles. Given the limitations of the study, these observations should be interpreted cautiously and may warrant further investigation in broader contexts. Full article

This study examines how users’ preferences for spatial elements in neighborhood parks influence satisfaction and assesses the moderating role of urban density in this relationship. An online survey was conducted with 283 residents in the Seoul Metropolitan Area, and the study area was classified into high-, medium-, and low-density urban contexts. Exploratory factor analysis was employed to derive key spatial elements, and multiple regression and moderation analyses were conducted to empirically verify the relationship between the respondents’ spatial preferences and satisfaction. The study finds that the spatial elements of neighborhood parks have significantly varying effects on user satisfaction based on urban density. Specifically, natural and community spaces were identified as core elements that consistently influenced satisfaction across all urban density levels. In contrast, multifunctional cultural spaces were the only significant predictors of the relationship between spatial preferences and satisfaction in high-density spaces and urban-landscape spaces only had a significant influence in medium-density areas. The findings suggest that the spatial elements of neighborhood parks do not operate universally; rather, their effects on user satisfaction are context-dependent and shaped by urban density. Full article

Transmission tower climbing is a critical specialized operation in ultra-high-voltage power maintenance and communication infrastructure servicing. However, existing lower-limb exoskeletons used for tower climbing still suffer from insufficient motion intention recognition accuracy under complex operational environments. To address this issue, this study proposes an inertial measurement unit (IMU)-based bidirectional temporal deep learning method for motion intention recognition. First, a one-dimensional convolutional neural network (1D-CNN) is employed to extract local temporal features from multi-channel IMU signals. Subsequently, a bidirectional long short-term memory network (Bi-LSTM) is introduced to model the forward and backward temporal dependencies of motion sequences. Furthermore, a temporal attention mechanism is incorporated to emphasize discriminative features at critical movement phases, enabling the precise recognition of short-duration and transitional motions. Experimental results demonstrate that the proposed method outperforms traditional machine learning approaches and unidirectional temporal models in terms of accuracy, F1-score, and other evaluation metrics. In particular, this method demonstrates significant advantages in identifying the flexion/extension phases and transitional states. This study provides an offline method for analyzing movement intentions in lower-limb exoskeleton control for power transmission tower climbing scenarios and offers a reference for developing assistive control strategies for assisted climbing tasks in this specific context. Full article

Blue-green infrastructure in high-density communities has been found to be vital to the well-being of urban residents, particularly in 15 min walkable communities. However, residents’ environmental preferences for blue-green infrastructure in high-density urban areas have received little attention. This study uses a walking interview method with 90 participants to explore residents’ motivations, activities and preferences in both community and riverside green spaces. The study area centers on the Licun River and surrounding communities within a 15 min walking distance of the river in Qingdao, China, a high-density city promoting 15 min walkable communities. The findings showed that relaxation was the main reason for visiting both types of spaces. Riverside green spaces supported a wider variety of activities but notable differences in preferences for particular spaces, particularly across gender and age groups. Within community green spaces, artificial elements had a stronger impact on preferences, whereas in riverside green spaces, natural elements were more influential. Blue-green infrastructure planning in high-density cities should then consider diverse user needs by accounting for demographic differences and adapting design elements to various spatial contexts. Since a 15 min walk is not feasible for all residents, enhancing the safety, walkability and inclusivity of blue-green infrastructure is essential for everyday use. Full article

Mediterranean forests are increasingly exposed to climate-related risks, including large wildfires, prolonged droughts and rural abandonment, making sustainable forest management (SFM) a key element for climate adaptation and territorial resilience. However, despite its recognised importance, the social acceptance of SFM remains insufficiently understood, particularly in relation to how public perceptions are shaped by media narratives and information ecosystems. This study addresses this gap by analysing the relationship between media framing and social acceptance of SFM in a Mediterranean context. A mixed-methods approach was applied in the Valencian region (Spain), combining (i) a systematic analysis of conventional and digital media, (ii) a system mapping exercise to identify dominant narratives and communication dynamics, and (iii) a population survey (n = 1070) focused on perceptions of forests, climate change and forest management. The results reveal a high level of environmental concern and climate awareness, coexisting with limited knowledge of SFM and simplified or distorted perceptions of forest dynamics. Media coverage is predominantly reactive and event-driven, strongly focused on wildfire events, while preventive and adaptive forest management practices remain largely invisible. In this context, support for SFM increases significantly when management practices are clearly explained and contextualised, indicating that resistance is more closely related to communication gaps than to ideological opposition. These findings highlight the critical role of media framing and communication processes in shaping the social acceptance of SFM. The study contributes to the literature by integrating media analysis and social perception within a forest governance perspective, and provides empirical insights to support more effective communication strategies and policy design in Mediterranean regions facing increasing climate pressures. Full article