Search Results (5,862)

In 2021, Quanzhou, China, was added to the UNESCO World Heritage List. Using the Motivation–Opportunity–Ability (MOA) theoretical framework, this study examines how motivation, opportunity, and ability factors influence community participation (CP) in conserving and developing tourist attractions. Quanzhou's World Heritage Site (WHS) was chosen as the case study, while Social Media Involvement (SMI) was selected as a moderator for this analysis. Through PLS-SEM, a total of 405 valid responses were examined and evaluated. The findings show that based on the MOA framework, Motivation Positive Perceptions (MPP), Opportunity (OPP), Awareness (AAW), and Knowledge (AKN) have significant positive effects on CP, whereas Motivation Negative Perceptions (MNP) exert a significant negative effect on CP and Motivation Interest (MINT) does not achieve statistical significance. Additionally, all motivation, opportunity, and ability factors have significant positive moderating relationships with CP through SMI. Hence, this study confirms that the MOA framework is applicable to the context of Chinese World Heritage Sites; it extends the current understanding of how social media can play a role in the governance of cultural heritage (CH). Thus, this study provides both a theoretical basis and practical considerations for CP in the sustainable conservation and tourism development of WHSs. Full article

Flooding is a recurrent climate-related hazard in southern Thailand that frequently disrupts schooling and undermines educational continuity. Despite the critical importance of school-based disaster preparedness, there is limited empirical evidence explaining the drivers of flood preparedness among primary school teachers in climate-vulnerable regions. This study aimed to identify the cognitive, experiential, and topographic factors correlated with flood knowledge, flood risk perception (FRP), and flood preparedness (FP) among primary school teachers in Nakhon Si Thammarat province. A cross-sectional survey was conducted with 745 teachers using a structured questionnaire that covered sociodemographic characteristics, flood experience, training, information sources, and regional topography (elevation, slope, and distance to river). Spearman’s rank correlation and Generalized Linear Models (GLMs) were applied to examine the relationships and predictive factors. The findings revealed that topographic factors, specifically distance to the nearest river, were significantly associated with teachers’ flood knowledge, while school elevation was significantly related to FRP. Community-based information was a strong predictor of flood knowledge. Furthermore, prior flood experience, first-aid training, access to school-based information networks, and FRP were identified as key drivers of FP. Moreover, the negative relationships were found between flood knowledge and FP suggest that preparedness is influenced by complex cognitive and behavioral mechanisms rather than knowledge alone. These findings highlight the importance of integrating topographic risk information, experiential learning, and community-based information networks into school-based disaster preparedness programs rather than relying solely on knowledge. These findings offer practical implications for designing targeted teacher training and school-based disaster risk reduction (DRR) strategies in climate-vulnerable settings. Full article

All forms of neural communications, from cognition to emotion, are regulated by neurotransmitters, which are otherwise the chemical language of the brain. Precise detection of these neurotransmitters is essential for the perception of neurophysiology and diagnosis of neurodegenerative diseases as well. Among the existing techniques for the detection of these molecules, fluorescence sensing is evolving as a powerful approach in terms of high sensitivity, rapid response, and real-time visualization of the chemical events occurring in the neural system. In recent years, nanomaterials have transformed this field by integrating tunable optical properties, excellent photostability, and modifiable surface chemistry into biocompatible nanostructures. We summarize the recent advances of these architectures to show how the material type and dimensionality, as well as the surface functionality, play roles in sensing through the mechanisms of Förster resonance energy transfer (FRET), photoinduced electron transfer (PET), inner filter effect (IFE), and aggregation-induced emission (AIE). The discussion has also been extended to the correlation of fluorescence modulation with the selectivity and sensitivity in the mechanism-to-function relationship. The potential utility of such innovative technologies, including artificial intelligence, spectral deconvolution analysis via big data algorithms, and chip-integrated sensing, was explored as a means to enable real-time neurochemical detection. This converging area of nanotechnology and neuroscience leaves a mark not just in analytical accuracy, but also parallels human brain rhythms. Full article

The global shift toward electric vehicles (EVs) has accelerated as governments pursue low-carbon transport systems and sustainable mobility transitions. In emerging economies such as Thailand, however, consumer adoption remains influenced by a complex interplay of policy incentives, perceived benefits, and charging-related uncertainties. This study investigates the determinants of EV adoption intention by integrating ecosystem and policy support with perceived value and perceived risk within a unified analytical framework. Grounded in customer perception theory and technology adoption perspectives, this research addresses the fragmented treatment of these factors in prior studies. Data were collected from 400 respondents with prior EV experience and analyzed using structural equation modeling to examine both direct and mediated relationships. The findings reveal that ecosystem and policy support significantly strengthen adoption intention, primarily by enhancing perceived value and reducing perceived risk. These results highlight the pivotal role of perception-based mechanisms in translating policy initiatives into consumer commitment. The study suggests that effective EV promotion in Thailand and similar emerging markets requires coordinated ecosystem development, clear policy communication, and reliable charging infrastructure to sustain long-term adoption momentum. Full article

Medical drone delivery (MDD), defined as the use of uncrewed aerial vehicles to transport medical products, is an emerging technological innovation responding to persistent health supply chain challenges in rural and low-resource settings. Within sub-Saharan Africa, MDD systems have demonstrated large-scale success in improving key health outcomes, health supply chain efficiency, and reductions in medical product stockouts and wastage. However, the existing evidence base on the effectiveness of this technology is dominated by quantitative, performance-based evaluations, with limited emphasis on the community-driven mechanisms that shape such outcomes. Drawing on original qualitative research, this article presents a qualitative secondary analysis (QSA) of interview data collected as part of a larger case study on MDD in Madagascar. The QSA, guided by socio-technical systems theory, analyzes a subset of 18 interviews with 23 community-level stakeholders to understand how MDD affects healthcare services in remote regions of the country. Participants reported that MDD led to downstream healthcare improvements in vaccination coverage and malaria-related health outcomes. These improvements were enabled through four interconnected socio-technical mechanisms: (1) improved medical product availability through the mitigation of geographic and transportation barriers, (2) stabilization of vaccine and cold chain transportation, (3) building trust and healthcare-seeking behaviours through predictable service delivery, and (4) reduced physical, mental, and financial burdens experienced by healthcare workers. A final, cross-cutting theme emphasized was the criticality of MDD program continuity, with participants noting that operation disruptions or withdrawals risked reversing benefits and breaking communities’ trust in the health system. By centering lived realities, perceptions, and social processes, this article bridges the gap between predominantly quantitative evidence on MDD systems and the experiences of the communities they are intended to serve. Full article

This study seeks to inform emergency preparedness efforts by summarizing the pandemic’s impacts on access to opioid use disorder (OUD) recovery support as reported by women in recovery. In-depth interviews were completed with adult women in recovery from OUD. We used a primarily deductive approach to coding and analysis. Two coders analyzed transcripts; discrepancies were resolved through discussion. Seventeen women completed interviews from June to October 2020. Pandemic impacts primarily focused on engagement in care and retention at community and interpersonal levels. Community-level barriers to engagement included facilities’ halting intake of patients and fear of COVID-19 infection in treatment settings. Interpersonal barriers to engagement included loss of childcare support and the sudden transition to virtual services. Community-level retention barriers included perception of facility staff’s lack of adherence to infection prevention protocols and strict enforcement of infection prevention protocols on residents within facilities. Interpersonal barriers to retention included reduced availability of mutual aid meetings. Participants also highlighted how the pandemic worsened the addiction crisis and increased women’s caretaking burden. Leaders and administrators must be prepared to simultaneously balance responses for two public health crises: a novel infectious disease and addiction. Lessons learned from the pandemic can mitigate barriers to care and recovery when future emergencies arise. Full article

Social media has become a key space for health communication, fostering the emergence of the e-patient influencer, a figure capable of generating a support community around themselves. In the case of multiple sclerosis (MS), a complex disease with an uncertain prognosis, these profiles can influence the perception and management of the disease. Therefore, credibility and authenticity are identified as key constructs for truly understanding the effectiveness of their communication. Through content analysis, the main active profiles on Instagram and TikTok are examined to recognise narrative patterns, communication strategies and different levels of credibility and authenticity, as well as potential differences between those platforms involved. The results show, on both networks, a predominance of empathetic content focused on the daily management of this disease. Furthermore, a positive, albeit moderate, relationship between credibility and authenticity is found, confirming the importance of these two concepts in social media. Instagram shows slightly higher degrees of credibility, while authenticity is more predominant on TikTok, fostered by the spontaneity and transparency of its creators. Full article

Vehicle-to-everything communication grants connected and automated road vehicles the opportunity to share their sensor information such as detected road objects for collective awareness. This paper compares various state fusion strategies within a high-level cooperative perception architecture, focusing on the fusion of object-level information provided in standard Collective Perception Messages. This work compares five track-to-track fusion methods, namely Covariance Intersection, Inverse Covariance Intersection, Adapted Extended Kalman Filter, Adapted Unscented Kalman Filter and Information Matrix Fusion, using a simulation framework built with CARLA and Autoware. The methods are analyzed in a case study to assess their performance under different vehicle maneuvers and varying input information accuracy. The case study highlights trade-offs between fusion strategies and illustrate their behavior in asynchronous multi-agent scenarios. While the analysis is conducted in simulation, the architecture is designed to be extensible, and directions for future development are outlined, including the integration of classification and object confidence fusion modules. Full article

Accurate perception and interpretation of the road environment are essential for safe driving. Vertical traffic signs play a key role in communicating warnings, regulations, and guidance to road users, thereby supporting safe and efficient traffic flow. However, their effectiveness depends not only on proper design and placement but also on how accurately and promptly they are perceived by drivers, which may be influenced by factors such as attention, cognitive workload, physical and mental condition, and fatigue. This study evaluates the contribution of selected vertical traffic signs to driving safety along a designated roadway section in Şanlıurfa, Türkiye. Face-to-face surveys were conducted with 480 active road users. Drivers’ knowledge, compliance behavior, safe route preferences, perceived visibility, and the effects of missing or inadequate signage were analyzed. The results indicate that driving exposure, education level, and experience significantly influence knowledge and perception of traffic signs, while compliance shows limited variation. These findings suggest that knowledge alone does not necessarily translate into behavioral compliance and underscore the importance of considering both driver-related factors and infrastructure characteristics in traffic safety strategies. The study provides practical insights for improving the visibility, placement, and overall effectiveness of vertical traffic signs in rapidly developing urban environments. Full article

Against the background of high-quality development and urban renewal in China, old residential communities have become key areas for improving spatial quality and quality of life. We used the entrance pavilion of Baoshengli North Community as a case study to explore how spatial design and layout can meet residents’ psychological and social needs. Adopting a mixed-methods approach, combining field observation, behavioral mapping, a questionnaire (Total = 105), in-depth interviews, and statistical analysis, a post-occupancy evaluation (POE) was conducted on spatial effectiveness and social functions. The results show that user-oriented spatial design, safety, esthetic quality, and inclusive functions significantly enhance residents’ spatial perception, willingness to use the space, and social interaction. Differentiated spatial preferences and potential conflicts among diverse resident groups were also identified. Targeted design interventions can effectively strengthen the connection between spatial use and subjective perception, and participatory and equitable strategies help promote social harmony and justice. This study enriches the post-occupancy evaluation system for the renewal of old communities from psychological and social dimensions, and provides practical references for user-centered, inclusive, and sustainable public space design in urban renewal practices. One limitation of this study is that data were collected over a single period, which restricts the analysis of seasonal impacts on spatial usage. Full article

Background/Objectives: Speech-evoked brain potentials provide a window into the neural encoding of speech, experience-dependent plasticity, and deficits in central auditory processing from communication disorders. Stronger and faster frequency-following responses (FFRs) and cortical event-related potentials (ERPs) have been interpreted as reflecting more robust and efficient auditory–sensory processing across brainstem and cortical levels. Importantly, these neural signatures relate to real-world listening skills like speech-in-noise (SIN) perception. How functional FFR/ERPs relate to the underlying anatomical structures that generate these responses in brainstem and cortex is unknown. Methods: Using a multimodal imaging approach, we recorded FFRs and ERPs to clean and noise-degraded speech sounds to assess the strength of listeners’ neural encoding of speech at brainstem (FFR) and cortical (ERP) levels. MRI volumetrics of midbrain and transverse temporal gyrus (Heschl’s gyrus) quantified morphological variation in subcortical and cortical anatomy that underly these EEG potentials. We used the QuickSIN to assess behavioral SIN abilities. Results: We found larger and thicker right (but not left) Heschl’s gyrus was related to listeners’ SIN perception as well as the size of their cortical ERPs. Structural and functional measures interacted at a subcortical level. For listeners with smaller midbrain volumes, larger speech FFRs were associated with better QuickSIN scores, whereas in individuals with larger midbrain volumes, larger FFRs were related to poorer QuickSIN scores. Conclusions: Our findings reveal common functional signatures of speech sound processing (FFRs, ERPs) are related to the anatomy of their underlying generator sources and suggest that both auditory brain structure and function can account for perceptual SIN capacity. Full article

Universities play a strategic role in advancing the Sustainable Development Goals (SDGs) through community engagement, particularly within medical education. This study examines medical students’ involvement in volunteering activities and evaluates how such engagement contributes to SDG 3 (Good Health and Well-being) and SDG 4 (Quality Education). A cross-sectional survey was conducted among 499 students from the Victor Babeș University of Medicine and Pharmacy in Timișoara, using a structured questionnaire assessing perceived community impact, soft skills development, motivation for volunteering, sustainability orientation, and institutional support. Results indicate a high level of availability and prior participation in volunteering, reflecting strong internalization of public health and social responsibility values. While no significant differences were observed between volunteers and non-volunteers regarding perceived community impact (SDG 3), volunteer experience was significantly associated with higher levels of soft skills development and motivation (SDG 4). Strong positive correlations were identified between perceived community impact and motivational, educational, and sustainability related dimensions. The intensity of involvement was modestly associated with sustainability orientation and institutional support. Despite high motivation, students reported limited structured institutional frameworks for sustained engagement. The findings suggest that medical volunteering functions as a dual mechanism, strengthening professional competencies while reinforcing community health orientation. Institutionalizing structured outreach programs, particularly in underserved areas, could enhance long-term impact and align medical education more effectively with the 2030 Sustainable Development Agenda. Full article

Digital platforms became central to institutional participation during the COVID-19 pandemic, yet little is known about how participants experience digitally mediated decision-making processes and which conditions foster high-quality deliberation. Guided by an ecological perspective from community psychology, this study examined university staff’s experiences with platform-based participation, focusing on the relationship between online participation practices, digital empowerment, and perceived deliberative quality. In November 2021, faculty and technical/administrative staff at an Italian university (N = 673) completed an online questionnaire assessing platform use (Microsoft Teams), participation practices, perceived benefits and limitations of digital platforms, digital empowerment, and deliberative quality (critical awareness and engagement). Exploratory factor analyses supported multidimensional measures of platform perceptions and deliberative quality. Hierarchical regression analyses showed that interaction rules and perceived improvements in participation processes were the strongest predictors of deliberative quality. Platform benefits related to participatory quality were positively associated with both outcomes, while efficiency-related benefits showed a small negative association with critical awareness. Digital empowerment uniquely predicted deliberative engagement above and beyond participation practices. Overall, results suggest that deliberative quality in digital institutional settings depends more on structured interaction and empowerment-supportive conditions than on platform use frequency, with implications for designing sustainable online and hybrid participatory processes. Full article

Natural grasslands are among the most endangered habitats in Northern, Central and Eastern Europe due to the agricultural intensification, land abandonment and afforestation, urban expansion, and the loss of traditional low-intensity management, on which their biodiversity depends. One way to increase the number of natural grasslands is by integrating them into urban green infrastructure as a nature-based solution to enhance ecological resilience and urban livability: diverse grassland systems support pollinators, improve soil structure and stormwater infiltration, mitigate urban heat and provide restorative, experience-rich public spaces. The aim of the study is to explore opportunities and barriers to integrating different types of grasslands into the green infrastructure of Latvian cities, with a primary focus on public perceptions and institutional aspects of urban grassland implementation and management. A mixed-methods approach was applied, combining resident surveys, interviews with municipal experts—territorial development specialists, planners and maintenance managers—and comparative policy analysis. Results show that although residents acknowledge the ecological benefits of urban grasslands, they prefer them in peripheral or underused areas rather than in city centres and residential zones, as these areas are often aesthetically perceived as “untidy” or neglected, conflicting with cultural norms that favour short, intensively mown lawns and raising concerns about insects. Acceptance increases through communication and participatory practices. Municipal approaches range from structured maintenance guidelines, including delayed mowing, biomass removal, and invasive species control, to flexible experimentation. The study contributes scientifically grounded insights into governance, perception, and management interfaces critical for mainstreaming socially accepted urban grasslands. Full article

The energy transition of small and medium-sized enterprises (SMEs) is an important element in achieving climate and energy goals, but its pace and scope remain varied. Previous studies have focused mainly on regulatory pressure, energy costs and financial barriers, while the importance of market factors has been analysed relatively rarely. The aim of this article is to assess consumer expectations perceived by enterprises as a factor that influences SMEs’ energy transition strategies. While the approach demonstrated by previous authors concentrated mostly on energy transition as a policy issue or an adjustment to legal changes, the originality and contribution of this paper lies in approaching this problem as one of a strategic adjustment to customers’ changing expectations. The study is based on a CATI survey of 417 Polish SMEs, predominantly micro- and small enterprises. The study covers the perception of customer expectations regarding energy efficiency, the use of renewable energy sources (RES) and environmental communication tools. Relationships were identified between perceived market signals and the energy-related actions of enterprises. The results indicate that SMEs perceive consumer expectations primarily as specific and quantifiable energy measures, such as reducing energy consumption and implementing renewable energy sources, while attaching less importance to formal reporting and certification tools. The energy transition is selective and incremental, focusing on solutions with low barriers to entry and short payback periods. From an energy policy perspective, the results suggest a need to design support instruments that are better aligned with how SMEs interpret market expectations. Full article