Search Results (7,898)

Against the backdrop of global climate change, the rising frequency and intensity of extreme weather events pose severe challenges to urban transport and commercial systems. As a core capacity for managing uncertainty and risk, urban resilience requires infrastructure to resist shocks, recover rapidly, and adaptively evolve. From a resilience perspective, this study develops a comprehensive evaluation system for spatial accessibility between subway stations and commercial complexes, operationalized by 21 indicators across five dimensions: Connectivity, Redundancy, Robustness, Dynamic adaptability, and Comfort. Spatial accessibility is simulated and measured using sDNA spatial network analysis, while an in-depth questionnaire survey collects, feeds back, and validates users’ subjective perceptions. By constructing a dual evaluation model that integrates spatial configuration and behavioral psychology, we find that the integrated development of subway stations and commercial complexes can maintain stable functional performance and sustained vitality under complex urban conditions by optimizing connectivity, enhancing redundancy, and improving adaptability. This is manifested in the expansion of residents’ pedestrian networks and the spillover of social service functions. In parallel, underground spaces can be transformed into resilient infrastructure to enhance civil air defense performance and provide diversified evacuation routes. The findings offer theoretical support and practical guidance for the construction of resilient cities. Full article

Background: The COVID-19 pandemic significantly disrupted health systems, including the delivery of childhood immunizations. This study assessed COVID-19 vaccination coverage in families of children with incomplete routine immunization and explored why adults accepted COVID-19 vaccines despite skipping routine vaccination for their children in the district of Swat, Khyber Pakhtunkhwa, Pakistan. Methods: A mixed-methods study was conducted in Swat District during March 2022–April 2023. A cross-sectional survey assessed COVID-19 vaccination in household members of children under 2 years of age for whom vaccination registries showed missed routine vaccinations. In-depth interviews with 18 household members explored motivations for vaccine acceptance through thematic analysis. Results: Among 249 families of children with incomplete immunization found through vaccination records, 237 families (88% response) were interviewed. Among 382 children below 2 years of age in these families, 29.5% (n = 113) were fully vaccinated, 67.5% (n = 258) were incompletely vaccinated according to age, and 2.9% (n = 11) had not received any vaccine. Data from 237 of the defaulter children—one per household—was included in further analysis. Among household members above 12 years of age, 87% (964/1103) of males and 82% (n = 901/1093) of females were vaccinated against COVID-19. Households with at least one fully vaccinated child were significantly more likely to have vaccinated family members. Multivariable analysis showed maternal COVID-19 vaccination (AOR 2.08, 95% CI: 1.15–3.76) and urban residence (AOR 2.08, 95% CI: 1.14–3.79) were associated with full childhood vaccination. In-depth interviews revealed that key motivators for COVID-19 vaccination included the perception that it was mandatory, house-to-house vaccination, and fear of hospitalization or death. Conclusions: Vaccine requirements and ease of access to vaccination services enhanced coverage with COVID-19 vaccines among families of children with incomplete routine immunization. Ethical use of vaccine requirements and community education to enhance levels of risk perception of vaccine-preventable diseases could potentially improve childhood immunization. Full article

This study examined how resilience-based interventions enable rural older women living with HIV in Zimbabwe to confront stigma and sustain their quality of life. Guided by the 4S framework of resilience resources planning (social support, coping strategies, sagacity, and solution-seeking), the research explored how women apply these dimensions to navigate challenging life events. A purposive sample of 17 women (those not living with a spouse or in a socially sanctioned relationship), aged 40–65, all on antiretroviral therapy and drawn from rural Matabeleland South Province, participated through in-depth interviews. Using Interpretive Phenomenological Analysis, four themes emerged: (1) Social Support and Social Networks as Foundations of Resilience, (2) Self-Efficacy and Coping Strategies in Managing Emotional Distress, (3) Spirituality and Sagacity as Sources of Strength and Meaning, and (4) Sense of Purpose and Solution-Seeking Behaviours. The findings highlight that resilience is actively mobilised through family ties, peer groups, and community initiatives, enabling women to adapt to socio-economic hardship and health-related barriers. This study concludes that empowerment strategies, especially community-based programmes focused on skills development and economic opportunities, are essential for enhancing resilience, reducing vulnerability, and improving health outcomes. Strengthening these resources not only equips women to manage HIV-related challenges but also contributes to sustainable development within their communities. Full article

This study examines how technological innovation and sustainability jointly reshape contemporary public administration by integrating digital transformation with public value creation. Using a mixed-method approach, we compile a Scopus-based bibliographic dataset and conduct descriptive and network analyses on 199 articles to map publication trends, methodological patterns, and core keyword clusters. We then perform an in-depth qualitative content analysis of 83 papers, coding public sector domains, actors, technological innovations, and sustainability dimensions. Findings highlight a shift from early e-government, centered on administrative efficiency, toward a paradigm of “sustainable digital governance”, where AI, IoT, blockchain and data analytics drive the twin digital–green transition. Five conceptual clusters and several application domains show that public value increasingly emerges within collaborative ecosystems involving administrations, firms, universities, citizens and digital platforms. The study offers an integrated overview of this evolving field and clarifies technology’s role as an enabling factor in sustainable governance. Building on the review results, we propose the Sustainable Public Innovation Ecosystem (SPIE) framework, which links systemic enablers (technological and sustainability innovation) governance efficiency and sustainable public value through ecosystem dynamics and governance mechanisms. It also outlines a future research agenda on hybrid actors ethical and regulatory issues, and approaches to measuring sustainable public value, providing guidance for scholars and policymakers designing digitally enabled and sustainability-oriented public reforms. Full article

Rotavirus A (RVA) is a leading cause of severe diarrhoea in children, and interspecies transmission significantly drives the genomic diversity of human RVAs. Cats represent a key host species, requiring in-depth analysis regarding RVA transmission to humans. This review evaluated the literature on the complex genotype constellations of feline RVAs in relation to relevant canine and human RVAs to define the role of feline RVAs in the evolutionary history of human strains. The review traces the methodological shift from genogrouping by RNA-RNA hybridisation to the current genotype constellation system enabled by whole-genome sequencing. While early methods identified a shared genomic closeness between human AU-1 and feline FRV-1, whole-genome sequencing indicated that several human RVA strains, including AU-1, HCR3A, and Ro1845, likely resulted from direct transmission of feline/canine strains, due to shared genotype constellations and high sequence identity with animal strains like feline FRV-1, Cat97 and canine CU-1. Evidence of reassortment—such as the emergence of G1P[9] and G9P[9] strains after the feline-derived G3P[9] crossed into the human population—suggests these feline-like strains have successfully overcome the host-species barrier and are capable of onward human-to-human transmission, not just dead-end spillover events. However, definitive confirmation of sustained transmission or contemporary spillover requires stringent phylogenetic criteria: multiple human strains with >99% identical sequences in a monophyletic lineage for sustained transmission, or an identical human–feline pair across all genome segments for contemporary spillover. Confirming the status of the AU-1-like constellation as a third, low-frequency human RVA type requires future studies applying these strict criteria. Full article

Several studies investigated risk and prognostic parameters for horses with colic; however, the consensus is still debated. The present work aimed to investigate colic outcomes and to identify risk factors in horses referred for colic. In this multicenter retrospective study, 236 clinical records of equids referred for colic at three different equine centers were reviewed. The following data were collected: history, signalment, physical examination at the time of admission, hematological and biochemical analysis, diagnosis, SIRS status and 0–6 point-scale SIRS score, colic type, treatment attempted, and outcome. Descriptive statistics were performed, and distribution of continuous variables was reported as median and percentile. A multivariable logistic regression model was applied to assess parameters associated with colic outcomes in horses (p < 0.05). A total of 138/236 horses were included in the study. The univariate analysis identified as potentially associated with the outcome: sex (p = 0.046), colic type (p < 0.001), treatment type (p < 0.001), SIRS score (p = 0.049), age (p-value = 0.057), heart rate (p = 0.013), and respiratory rate (p = 0.017). The logistic regression model indicated that colic type (p < 0.001) and age (p = 0.004) were significantly associated with a negative outcome. Equine colic risks are multifactorial; prognosis declines with age and strangulating obstructive non-strangulating colic. Poor outcomes link to cardiovascular signs like elevated heart rate, SIRS status and score, and blood lactate. Heterogeneity from diverse sites limits generalizability, but standardized protocols, binarized data, and a multicenter approach enhance robustness and representativeness while reducing local biases. Full article

This study systematically investigates the influence of short carbon-fiber (SCF) content on the mechanical, thermal, and tribological properties of self-lubricating polyphenylene sulfide (PPS) composites filled with PTFE and MoS₂, addressing the critical need for high-wear resistance in Carbon-Fiber-Reinforced Thermoplastic (CFRTP) structural applications. The results identified 10 wt% SCF as the optimal content that achieved the best balance between load-bearing capacity and friction performance. The coefficient of friction μ and wear amount were reduced by 29.28% and 29.29%, respectively, compared to the PPS/PTFE/MoS₂ composite material without SCF, and by 14.67% and 20.75%, respectively, compared to the material with excessive SCF filling (20 wt%). Finite-Element Analysis-Representative Volume Element (FEA-RVE) reveals the mechanism by which excessive content of SCF at the microscopic level leads to a slight decrease in mechanical properties. Critically, the tribological performance exhibited a discrepancy with bulk mechanical properties: above 15 wt% SCF, the wear rate worsened despite high mechanical strength, revealing that increased fiber agglomeration and micro-abrasion effects were the primary causes of performance deterioration. Further in-depth XPS analysis revealed a synergistic lubrication mechanism: In the optimal sample, an ultra-dense PTFE transfer film was formed to mask the underlying MoS₂. This masking, coupled with the high surface activity of MoO₃ particles leads to stronger physicochemical interactions with the polymer matrix, ensures the exceptional durability and stability of the tribo-film. This research establishes a complete structure–performance relationship by integrating mechanical, thermal, and tribo–chemical mechanisms, offering critical theoretical guidance for the design of next-generation high-performance self-lubricating CFRTPs. Full article

This study explores how teachers’ work sustainability is shaped through everyday governance practices within private higher education institutions in China. Using a constructivist grounded theory approach, the analysis draws on long-term fieldwork and in-depth interviews with teachers, administrators, leaders, and students from two private colleges. The findings suggest that teachers’ difficulties do not stem from isolated adverse incidents, but rather from an ongoing organizational process embedded in routine management practices. Evaluation-centered promotion systems, relationship-based governance, and data-driven oversight interact to restructure how teaching work is organized, recognized, and assessed. Professional contributions are frequently treated as negotiable outcomes subject to managerial discretion, while informal alignment practices and selective monitoring gradually narrow teachers’ space for professional judgment and initiative. Despite accumulating dissatisfaction, most teachers remain in their positions. Occupational identity, social expectations, and constrained labor mobility limit realistic exit options, transforming short-term accommodation into prolonged endurance. In this context, teacher retention reflects not organizational stability, but the persistence of governance conditions that challenge the long-term sustainability of teachers’ work. By examining how routine management practices gradually reshape teachers’ work, this study highlights an overlooked dimension of sustainability in higher education: the long-term viability of teachers’ professional lives within existing governance arrangements. Unlike studies that conceptualize teachers’ difficulties through the lens of workplace bullying or interpersonal conflict, this study focuses on how ordinary governance practices shape long-term work sustainability without overt confrontation. Full article

Background/Objectives: Child vulnerability is a predictor for potentially adverse challenges for the child and family, but the term is used inconsistently across settings. Danish general practitioners (GPs) are centrally positioned as the front line of the health care system. Thus, the aim of this study is to explore Danish GPs’ perspectives and assessment of child vulnerability, using an exploratory, sequential mixed-methods approach. Methods: Eleven GPs were interviewed, focusing on perceptions and management of child vulnerability in the context of preventive child health examinations (PCHEs). Interviews were analyzed in two stages. From the first deductive analysis, a quantitative data recording chart was developed. This was distributed to 10 general practices, to collect GPs’ perceptions and management of child vulnerability, and 197 recordings were completed. Secondly, to develop themes independently of the deductive coding, data was analyzed inductively, creating an in-depth understanding of GPs’ perspectives. This resulted in four themes. Results: GPs associated the concept of child vulnerability with a multitude of social, somatic, and psychological factors. To recognize child vulnerability, GPs found time and scope during PCHEs limited and knowledge of the family essential. Collaboration with social services was perceived as insufficient. The most frequent finding during PCHEs was related to somatic challenges (60%) and follow-up consultation was the most frequent response (64%). Conclusions: GPs considered child vulnerability a complex term. Assessment of child vulnerability was strongly related to knowledge of the family, and usually based on several consultations, which underscores that PCHEs represent only one of several contexts where concerns are assessed and addressed. Full article

Background/Objectives: The main objective of optimizing the composition of dental implants is to improve tissue compatibility for enhanced biological/biochemical performance. In this context, research on the development of new titanium alloys in dental implantology considers the careful selection of alloying elements, both in terms of biocompatibility (their lack of toxicity) and their potential to improve the metallurgical processing capacity (thermal and/or thermomechanical), which through controlled microstructural changes lead to the optimal combination of properties for functionality and durability of the implant. The purpose of the research is to study the influence of alloying elements on the phase composition and physical–mechanical properties of experimental titanium alloys. Methods: Four alloys with original chemical compositions were developed, coded in the experiments as follows: Ti1, Ti2, Ti3, Ti4. The characterization of the alloys was carried out by detailed analysis of the chemical composition, phase structure and by testing the physico-mechanical properties (HV hardness, tensile strength, yield strength, elongation, modulus of elasticity), by standardized modern methods. Characterization methods, such as optical microscopy, SEM, EDS and XRD were performed, followed by tensile tests based on ASTM EB/EBM-22 and EN ISO 6892-1-2009 standards. Results: The research results provide information regarding the relationship between the composition and the physico-mechanical properties (Rm, Rp, HV, A, G, E) of the experimental alloys (Ti1–Ti4). Depending on the value level of the properties, these have been highlighted: compositions in which the alloy can be indicated for conditions of intense stress (Ti3), compositions that describe highly ductile alloys, easy to process and adapt to clinical requirements (Ti4), but also alloys compositions characterized by a balanced combination of strength, plasticity/ductility (Ti1, Ti2). Conclusions: Research for the development of new titanium alloys through the optimization of chemical composition has taken into account the requirements regarding the biological/biomechanical compatibility of biomaterials. Analyzed in comparison with Cp-Ti grade 4 and Ti6A4V, the experimental alloys (Ti1–Ti4) can be characterized as follows: The mechanical strength properties (Rm and Rp) are higher than those of pure commercial titanium (Cp-Ti grade 4) for all compositions Ti1–Ti4, but slightly lower than those of alloy Ti6Al4V. The plasticity–ductility properties have values comparable to those of Cp-Ti grade 4 (Ti4 and Ti2 compositions) and Ti6Al4V (Ti1 composition), with one exception, the Ti3 alloy. All four experimental alloys have a lower modulus of elasticity than Cp-Ti grade 4 (102–104 GPa) and Ti6Al4V (113 GPa), commonly used in dental implants. An in-depth analysis, which will also consider information on corrosion behavior and cellular testing, may support the selection of some of the four experimental alloys studied. The research aims to continue the progress to a higher level of testing, through the realization of dental implants (e.g., fatigue, wear, osteointegration capacity, etc.). Full article

This paper examines the measures available to improve operational energy efficiency from the perspective of onboard crew, the barriers associated with implementing those measures and how crew behaviour can be nudged using incentives. A total of 25 semi-structured interviews and subsequent surveys with 42 onboard crew were carried out to gather qualitative information on two main domains: operational efficiency and incentive schemes. In-depth thematic analysis of interviews showed the central and recurring themes such as stakeholder hierarchy, autonomy and accountability, temporal restrictions, profitability and type of charter. Due to the heterogeneity in interview responses on the topic of incentives, online surveys were conducted. The findings of the study show that whilst speed reduction was seen as the single most important measure to optimise, it was also the most difficult to implement in practice due to several barriers. These include contractual obligations, a complex web of accountability and perverse incentives to increase speed. Other measures such as trim–draft optimisation and auxiliary engine load optimisation have smaller efficiency gains but were found to have more potential for increasing implementation through behavioural changes and encouraged through incentives. Both monetary and non-monetary incentives were perceived to be important and going beyond the status quo of incentivising captains so that rewards are shared equitably amongst the crew. Whilst not generalisable, preliminary findings suggest that there is room to consider alternatives to the current approaches on incentives, which do not take advantage of the importance of acknowledgment and recognition, as well as fostering positive interpersonal relationships. Full article

This paper proposes a collaborative mechanism of ecological governance based on digital twin; i.e., the intelligence and precision of environmental governance can be implemented by inducing key indicators from the environment in the physical world into the digital twin system of the digital twin mid-platform; by employing advanced sensors for real-time environmental data collection and leveraging GIS model-based integration of the digital twin platform, the real-time monitoring, in-depth analysis, and predictive forecasting of current environmental status can be performed, thereby enabling timely unified decision-making and management responses to emerging situations. The test results have demonstrated that this methodology can significantly enhance both the accuracy and timeliness of environmental monitoring works. Full article

In this study, a calculation method for two-phase nonequilibrium flow in solid rocket motor nozzles is established, and an in-depth investigation into the nonequilibrium flow within the nozzle is conducted. Based on NEPE high-energy propellant, a simplified reaction mechanism model is established and validated using the full-component sensitivity analysis method for chemical nonequilibrium flow in the nozzle, consisting of 16 components and 22 steps. The nonequilibrium and frozen flow in the nozzle are simulated, and it is found that in nonequilibrium flow, the chemical reactions result in a 22.4% increase in the flow field temperature and an approximate 4.13% improvement in specific impulse. In addition, the impacts of different total pressure conditions on the nonequilibrium flow in the nozzle are studied, in which the increase in pressure enhances the overall temperature, but the change in velocity and Mach number are negligible. Finally, a discrete phase model is adopted in the nonequilibrium flow simulation to predict the evolution of aluminum oxide particles with different sizes within the nozzle. The results indicate that the presence of particles can enhance nozzle total thrust while reducing the specific impulse. As the particle size increases, both the nozzle thrust and specific impulse decrease, with the specific impulse being more significantly affected by particle size variations due to the variation in the gas-phase mass flow rate. Full article

Transcription factors (TFs) are ubiquitously distributed in plants and play pivotal roles in regulating plant growth and development. The present study aims to elucidate the function of transcription factors (TFs) in highland barley’s response to selenium stress. The results show that 89, 218, 141, 92, 23, and 34 genes were identified from the bHLH, MYB, NAC, WRKY, GATA, and HSF families, respectively. We analyzed the physicochemical properties of the transcription factor family, including amino acid number and molecular weight, theoretical PI, instability index, hydrophilicity index, and subcellular location. The majority of proteins encoded by these gene families are hydrophilic and predominantly localized in the nucleus. Structural analysis demonstrates that each family contains conserved motifs and domains. Most bHLH genes, such as KAE8811666.1 and KAE8789390.1, contain bHLH_SF superfamily domains. 45 MYB genes possess the myb_SHAQKYF domain. Most NAC genes possess typical NAM domains. Most WRKY proteins showed the WRKY superfamily domain. The 22 members of GATA possess the ZnF_GATA domain. HSF gene family showed that 24 gene family members contained HSF domains. Systematic evolutionary analysis indicates that the bHLH and NAC families can each be divided into nine subfamilies, while the remaining four families are categorized into five to eight subfamilies, respectively. Based on transcriptome data, under low selenium treatment, 56.25%, 76%, 67.39%, 47.37%, 50%, and 56.25% of the genes belonging to the bHLH, MYB, NAC, WRKY, GATA, and HSF transcription factor families were significantly upregulated, respectively. In contrast, under high selenium treatment, the proportions of upregulated genes in these families were 81.25%, 80%, 65.22%, 63.16%, 75%, and 75%, respectively. Additionally, qRT-PCR results were consistent with the trends of the transcriptome expression data, corroborating the reliability and accuracy of the transcriptomic findings. These results elucidate the molecular characteristics and response patterns of six transcription factor families to selenium stress in highland barley, laying a foundation for further in-depth research on the functions of transcription factors in highland barley plants. Full article

Foreground segmentation and background subtraction are critical components in many computer vision applications, such as intelligent video surveillance, urban security systems, and obstacle detection for autonomous vehicles. Although extensively studied over the past decades, these tasks remain challenging, particularly due to rapid illumination changes, dynamic backgrounds, cast shadows, and camera movements. The emergence of supervised deep learning-based methods has significantly enhanced performance, surpassing traditional approaches on the benchmark dataset CDnet2014. In this context, this paper provides a comprehensive review of recent supervised deep learning techniques applied to background subtraction, along with an in-depth comparative analysis of state-of-the-art approaches available on the official CDnet2014 results platform. Specifically, we examine several key architecture families, including convolutional neural networks (CNN and FCN), encoder–decoder models such as FgSegNet and Motion U-Net, adversarial frameworks (GAN), Transformer-based architectures, and hybrid methods combining intermittent semantic segmentation with rapid detection algorithms such as RT-SBS-v2. Beyond summarizing existing works, this review contributes a structured cross-family comparison under a unified benchmark, a focused analysis of performance behavior across challenging CDnet2014 scenarios, and a critical discussion of the trade-offs between segmentation accuracy, robustness, and computational efficiency for practical deployment. Full article