Search Results (712)

Background: Psychological adaptation in high-demand contexts such as the military depends on the interaction of multiple emotional and psychological resources. Previous research has mainly examined emotional intelligence, resilience, and self-esteem using latent variable approaches, limiting understanding of how these variables dynamically interact within a broader network of interacting psychological resources. Objective: The present study aimed to analyze the network of relationships among emotional intelligence dimensions, resilience, and self-esteem, identifying the most central variables, their degree of clustering, and the strength of their associations. Methods: A cross-sectional study was conducted with 739 Spanish military personnel (M = 33.29; SD = 7.48). A regularized partial correlation network was estimated using the EBICglasso method (γ = 0.5). Centrality indices (strength and expected influence), clustering coefficients, and node predictability were analyzed. Network accuracy and stability were assessed through bootstrap procedures. Results: The estimated network showed moderate connectivity, indicating meaningful interrelations among emotional intelligence dimensions, resilience, and self-esteem. General mood and adaptability emerged as the most central nodes within the network. Resilience showed strong positive associations with adaptability and general mood, whereas self-esteem occupied a more peripheral position. Clustering analyses revealed a cohesive organization among adaptive emotional resources. Conclusions: Emotional intelligence dimensions and related psychological resources can be conceptualized as a dynamically interacting system associated with emotional adaptation in military personnel. The identification of central components may contribute to the development of targeted interventions aimed at strengthening emotional regulation and psychological adaptation in high-demand environments. Full article

Deep-sea transportation is faced with complex navigation environments, long voyages, limited emergency response resources, and interacting safety risks. Existing studies have mainly focused on individual risk factors, while the correlations and coupling effects among different factors have received insufficient attention. To identify the key risk factors affecting deep-sea transportation safety, this paper proposes a novel key factor identification model based on complex network theory. Firstly, 34 risk factors affecting deep-sea transportation safety are selected from five aspects using a literature analysis method. Secondly, a weighted directed network of risk factors is constructed based on complex network theory. Then, to evaluate the node importance, six node importance evaluation indicators are established, and a node importance evaluation method is proposed by integrating the analytic hierarchy process (AHP), technique for order preference by similarity to an ideal solution (TOPSIS), and gray relational analysis (GRA). Key risk factors are then determined according to the node importance evaluation results. Finally, the effectiveness of the proposed model is verified through a case study. The results show that the top five most critical risk factors are risk of leakage, emergency speed, physical and chemical properties of the cargoes, sense of personnel safety duty, and seasonal route. The findings can provide practical support for maritime authorities, shipping companies, and safety managers in formulating targeted prevention, control, and emergency response measures for deep-sea transportation safety. Full article

This study examines the role of microfinance institutions (MFIs) in promoting environmental sustainability in Zimbabwe’s artisanal gold mining (AGM) sector, a context characterised by significant ecological degradation and weak regulatory enforcement. While previous studies have focused on MFIs’ role in financial inclusion, their potential to promote environmental sustainability in the informal AGM sector remains underexplored in sub-Saharan Africa. Using an interpretivist qualitative case study design, the study draws on in-depth interviews with MFI personnel operating in AGM regions. The findings of this study suggest that MFIs have the potential to influence environmental sustainability through mechanisms such as conditional lending, financial incentives, and environmental awareness programs within AGM sectors in which they operate. The effectiveness of MFIs in advancing environmental sustainability, however, is constrained by weak regulatory frameworks, limited resources, and the sector’s informal nature. The study contributes to the emerging literature on green microfinance by providing context-specific insights into how financial institutions function as intermediaries of environmental governance. Practically, the findings highlight the need for policy frameworks that integrate environmental considerations into microfinance operations and strengthen institutional coordination among stakeholders. Full article

Grocery shopping remains a heavily car-dependent activity in urban areas, even for short-distance trips within residential neighbourhoods. A primary barrier to shifting toward active travel (walking or cycling) is the physical burden of carrying heavy or bulky goods. This study investigates whether a retailer-managed home delivery service could encourage consumers who currently rely on motorised modes for grocery shopping to shift towards active travel while preserving the in-store shopping experience. The analysis focuses on urban Italian consumers who currently use motorised modes for grocery shopping. Using a Stated Preference (SP) experiment and a Mixed Logit (MMNL) model (n = 88), we analyse the conditions under which such a service may encourage the adoption of active travel modes and support proximity-based shopping patterns. Given the exploratory nature of the study and the small, non-representative sample, the findings should be interpreted as preliminary evidence for urban motorised grocery shoppers rather than as representative of the Italian population. The results indicate a substantial willingness among respondents to adopt the proposed service configuration. Delivery time, service cost, and the availability of delivery time-window selection emerge as critical factors influencing consumers’ choices. Acceptance of the service is also influenced by perceptions of walking and cycling infrastructure quality, trust in the integrity of delivered groceries, preferences for local products, and concerns regarding the working conditions of delivery personnel. Additionally, the model reveals significant heterogeneity in preferences regarding delivery by drone/autonomous vehicle and a 100% reduction in greenhouse gas emissions relative to conventional motorised transport. Younger respondents exhibit a more favourable attitude towards automated delivery technologies, while differences in the valuation of environmental benefits emerge between male and female respondents. The findings suggest that retailer-managed home delivery may represent a promising mechanism for encouraging active travel among current motorised grocery shoppers, while maintaining consumers’ relationship with neighbourhood retail services. These results provide retailers and urban policymakers with valuable insights, suggesting that appropriately designed delivery services may support more sustainable and proximity-oriented shopping behaviours. Such services could potentially contribute to maintaining the accessibility and vitality of neighbourhood retail activities, particularly in ageing urban contexts. Full article

Background/Objectives: Retention of healthcare professionals in the workforce, their employment, and the improvement of working conditions largely depend on identifying the factors that influence their departure and their health. The study was conducted during the period from January to June 2021. This study aimed to examine the association between specific work-related stressors and work ability. The initial hypothesis was that general and specific occupational stressors negatively associate with work ability among healthcare professionals in emergency medical intervention teams. Methods: The study was designed as a cross-sectional comparative study. It was conducted among nurses and physicians in pre-hospital emergency medical services, employed full-time in intervention teams, while the control group consisted of employees from dispatch and call-receiving units. The study was conducted on the 840 participants, representing 43.3% of all healthcare professionals employed in pre-hospital emergency medical services in the Republic of Croatia. In addition to questions on participants’ personal characteristics, the following instruments were used: 1. a validated Questionnaire on Workplace Stressors among hospital healthcare professionals; and 2. the international standardized Work Ability Index (WAI) questionnaire for assessing work ability. Participants completed the questionnaires in paper form. Results: On average, the participants demonstrated lower levels of stress compared to reference values, both for overall stress and for individual stress factors, while their work ability, assessed using the Work Ability Index (WAI), ranged from very good to excellent. The control group showed higher levels of stress across all factors and lower work ability. However, the control group was older on average, generally had lower levels of education, and consisted more often of women—personal characteristics that may influence the examined variables. Lower stress levels and better work ability were associated with job satisfaction, ambition, and the fact that participants were working in their desired profession. Frequent sick leave (absenteeism) was highly correlating with both higher stress levels and poorer work ability. Conclusions: Greater job satisfaction and higher motivation have a positive impact on stress levels and employees’ work ability. The study results can serve as a starting point for institutional management in designing feasible decisions aimed at improving satisfaction, health, the work environment, and the work ability of emergency medical service personnel, as well as making these institutions more attractive for recruitment and retention of employees both in their positions and within the profession. Full article

This study develops and validates risk-based emergency response scenarios for Biosafety Level 2 (BSL-2) and Animal Biosafety Level 2 (ABSL-2) facilities. Utilizing Bow-tie analysis, three multidimensional scenarios were constructed: infrastructure failure, biosecurity breach, and compound disaster. Four domain experts independently evaluated the scripts using the Content Validity Index (CVI), with an absolute consensus threshold of I-CVI = 1.00. To address operational gaps identified during initial evaluations, the revised protocols were strictly aligned with the Taiwan Centers for Disease Control (CDC) mandatory reporting thresholds for high-hazard incidents. Furthermore, the scripts explicitly defined the Incident Command System (ICS) to prevent communication fragmentation and integrated the NC3Rs tunnel handling technique to minimize occupational bite risks. Following these targeted refinements, all items achieved absolute expert consensus. This research translates static biosafety regulations into dynamic, stress-tested training tools. By providing a standardized instrument for resilience assessment, this study equips frontline personnel with the critical capacity to navigate cascading crises while strictly adhering to a “life safety first” paradigm. Full article

Within the South-Western food industry of Nigeria, the overall impact, associated challenges, and implementation of Big Data Analytics (BDA) have remained underexplored. Thus, this study aimed to investigate the extent of BDA adoption, identify key barriers and enablers, assess the operational impacts of BDA adoption, and propose a structured framework to guide effective integration. The study adopted a deductive, mono-quantitative method. Data were collected from 151 participants through a stratified sampling technique using an online survey questionnaire and analysed using descriptive and inferential statistical methods, including Chi-Square, Likelihood Ratio, and Fisher-Freeman-Halton Exact tests, using SPSS version 26 and Excel as analytical tools. While awareness and appreciation of BDA’s strategic benefits are growing, significant challenges such as high implementation costs, a shortage of skilled personnel, regulatory uncertainties, and technological limitations persist. Nevertheless, organisations that have embraced BDA report notable improvements in operational efficiency, strategic decision-making, customer satisfaction, and competitive advantage. This study proposes a practical BDA adoption framework designed to address the identified barriers and enhance successful implementation and offers several recommendations. The research helps bridge the knowledge gap on BDA adoption in emerging economies and offers actionable insights for business leaders, policymakers, and practitioners seeking to drive innovation and sustainability in Nigeria’s food industry. Full article

In responses to large-scale emergencies, emergency rescuers often face inadequate professional competence and critical personnel shortages caused by decentralized management and insufficient specialized training, which compromise self-protection and rescue performance. The current literature largely treats training and dispatching as isolated processes, overemphasizes personnel allocation while underrating training evaluation, and commonly assumes sufficient qualified rescuers, thus failing to resolve capability gaps and multi-scenario shortages. To bridge these research gaps, this paper develops a multi-scenario integrated approach for emergency rescuer training and dispatching with knowledge accumulation. The methodology integrates centralized pre-dispatch training and dynamic multi-scenario dispatching, establishes a training evaluation model based on knowledge accumulation and capability utility functions, adopts time-dependent task penalty variables to assess shortage impacts, and employs the SEVIR model for emergency medical demand prediction. A multi-objective optimization model is formulated and solved by particle swarm optimization (PSO) and the greedy algorithm for comparison. The contributions are threefold: (1) proposing a training–dispatching integration framework to break traditional separation; (2) realizing quantifiable training evaluation via knowledge accumulation; (3) validating the approach through emergency medical missions, showing that PSO achieves lower penalties and higher utility. This integrated method effectively boosts rescue capacity, mitigates shortage risks, and improves emergency response efficiency. Full article

Firefighting and urban search operations occur in hazardous, rapidly changing environments where timely situational awareness is critical. In indoor firefighting scenarios, responders often operate in smoke-filled and structurally complex environments with limited visibility and communication. While UAVs have been widely used in wildfire response, their deployment inside buildings remains limited due to constraints in system mass, cost, and operational complexity. This paper presents the design and preliminary validation of an attritable micro-UAV as a proof-of-concept platform for indoor search support and post-fire inspection and assessment. The platform emphasizes portability, durability, and multi-sensor integration, enabling deployment by minimally trained personnel. System requirements were derived in collaboration with the Southfield Fire Department. The finalized design achieved a total mass of 247.34 g at a cost of $2969. Experimental evaluation demonstrated reliable sensing and communication performance at the subsystem level and confirmed structural robustness through drop tests from heights up to 3 m. Endurance testing yielded a maximum flight time of 28 min, slightly below the targeted 30 min requirement. While full task-level validation in operational firefighting scenarios has not been conducted, the proposed platform establishes a foundation for future development, including system-level validation, post-fire structural assessment, and enhanced visualization interfaces for improved situational awareness in emergency response operations. Full article

The growing strategic importance of data has increased organizational interest in Data Governance (DG) as a mechanism to ensure data quality, security, compliance, and value generation. Despite the widespread adoption of DG initiatives, organizations continue to face substantial implementation difficulties that limit the effective use of data for decision-making and innovation. This study presents a Systematic Literature Review conducted in accordance with the PRISMA framework to identify and synthesize the main challenges associated with DG implementation. A total of 38 empirical studies published between 2017 and 2025 were analyzed. The findings reveal five recurrent dimensions of implementation challenges: organizational, cultural, technical, quality, and regulatory. Frequently reported issues include insufficient resources, shortage of specialized personnel, resistance to organizational change, data silos, interoperability limitations, poor data quality, and increasing regulatory complexity. The review also shows that formal governance frameworks provide implementation guidance but do not fully eliminate these barriers. Based on the synthesized evidence, the study also proposes an interpretive conceptual model to illustrate how these barriers may emerge and reinforce one another during DG implementation. The study concludes that successful DG implementation depends on aligning organizational capabilities, technological infrastructure, and regulatory practices within an integrated governance strategy that supports data-driven value creation. Full article

Bacterial infections pose a persistent global threat to public health, driving the demand for rapid, sensitive, and specific detection technologies applicable to disease diagnosis, food safety, and environmental monitoring. Conventional methods like plate culture and polymerase chain reaction are often hampered by lengthy procedures, dependence on complex instrumentation, and requirements for specialized personnel. The emergence of nanozymes and nanomaterials with enzyme-like catalytic activities has introduced a paradigm shift in biosensing, offering superior stability, cost-effectiveness, and tunable functionality compared to their natural counterparts. This review provides a comprehensive and systematic analysis of the latest advancements in nanozyme-mediated bacterial detection. It is structured around the primary signal transduction modalities: colorimetric, fluorescence, electrochemical, and surface-enhanced Raman scattering (SERS) analyses. For each approach, we outline the fundamental design principles, which commonly integrate a synergistic cascade of specific recognition, catalytic signal amplification, and signal readout, and present representative applications for detecting key pathogens like Staphylococcus aureus, Salmonella, and Listeria monocytogenes in complex samples. We evaluate and contrast the advantages, analytical performance, and appropriateness of these different platforms for various practical scenarios. Finally, we address current challenges, including achieving high specificity in complex matrices, precise modulation of nanozyme activity, and method standardization. Perspectives on future research directions aimed at developing next-generation, high-performance, and potentially portable bacterial detection systems are also provided. Full article

Background: Out-of-hospital cardiac arrest is a major cause of mortality, and survival depends heavily on rapid defibrillation. Automated external defibrillators (AEDs) can significantly improve outcomes when used before emergency medical services (EMS) arrive, yet access to and use of these devices remain uneven across communities. This study investigates racial and geographic disparities in AED use during EMS encounters in the United States, evaluating differences across racial groups, geographic settings, cardiac arrest status, and patient acuity, irrespective of whether a bystander or EMS personnel applied the device. Methods: This descriptive study used aggregated data from the National Emergency Medical Services Information System (NEMSIS) Public Release Data Cube to compare AED use across racial, geographic, cardiac arrest, and acuity categories. AED use was defined as any documented application during the EMS encounter. Results: The dataset included 106,246 EMS encounters across six racial and ethnic groups. AEDs were applied in 16,688 encounters (15.7%), with substantial variation across demographic and geographic categories. Asian, American Indian or Alaska Native, and Black or African American patients had the highest rates of AED use, while White patients had the lowest rate despite representing the largest share of encounters. Urban areas accounted for most AED deployments, whereas suburban and frontier regions showed markedly lower use, while rural AED use was similar to urban rates. AED application was strongly associated with cardiac arrest and high patient acuity, yet racial differences persisted even within these clinically severe categories. Conclusions: AED use generally aligns with clinical indicators such as cardiac arrest and critical acuity, but meaningful racial and geographic differences were observed, reflecting descriptive patterns rather than confirmed disparities. These patterns should be interpreted cautiously, as the aggregated nature of the dataset limits the ability to determine whether differences reflect inequities, incident characteristics, or EMS system factors. These findings highlight the need for targeted strategies to expand AED access, improve device placement, and strengthen community readiness in underserved areas. Integrating AED availability into broader EMS planning and community outreach may help reduce inequities and create conditions that support improved survival outcomes. Further research using individual-level data and geospatial methods is needed to clarify the drivers of these observed differences and inform equitable prehospital care policies. Full article

This study aims to identify key health and safety challenges and examine root causes while developing a conceptual framework to improve safety. Results of the study will be useful for policy makers, regulatory authorities, construction managers, safety professionals and researchers to improve regulations, safety practices, training programs and policy development. The emerging construction industry in Sri Lanka is facing significant safety challenges for workers, including poor practices, inappropriate conduct, and negative attitudes. The construction industry was selected for this study due to its labor-intensive nature and its consistently high exposure to occupational hazards compared to other industrial sectors. The underlying root causes of these health and safety challenges remain unclear, primarily due to a lack of comprehensive government regulations, which are currently limited to the outdated Factories Ordinance of 1942. Sri Lanka was chosen as the focus of this study because of its rapidly expanding construction sector and outdated regulatory framework; it is also a representative of underdeveloped countries. Several studies have identified contributing factors such as outdated legislation, a shortage of qualified officers, poor attitudes, lack of funding, negligence, and limited awareness. To address this research gap, the safety aspects of the Sri Lankan construction industry have been examined, revealing emerging challenges such as poor safety practices, the presence of foreign workers, and the inadequate use of personal protective equipment (PPE) by staff. A deeper examination of these challenges indicates that sufficient safety budgets reflect leadership attitudes toward preventing injuries, and that targeted safety training for different roles can help mitigate these issues. Accordingly, a conceptual safety framework has been developed. A qualitative, semi-structured interview comprising both open- and closed-ended questions was conducted to gain insights from 26 experts (including engineers, architects, human resource personnel, safety officers, and managers) regarding workplace safety challenges. The interview data was thematically categorized based on the identified safety challenges using NVivo analysis, to determine their root causes and develop strategies to improve workplace safety. To evaluate the emotional tone of participants’ response, sentiment analysis was conducted. Results highlighted participants’ optimism when discussing proactive or successful safety measures, neutrality in objective assessments, and concern or dissatisfaction when addressing safety challenges and organizational shortcomings. Experts recommended that safety education should be introduced in universities and vocational institutes. Firms can incorporate safety training through toolbox talks and induction sessions, and they can allocate a safety budget in their contracts. The study suggests developing a certificate-level safety training module for the construction industry and provides fresh insights into the underlying causes of safety issues in the Sri Lankan construction sector. Furthermore, the study has implications for delivering a health and safety framework for project risk management in developing countries that face budget constraints and limited training and development opportunities for enhancing construction skill sets. Full article

The World Health Organization recommends the use of balanced energy protein (BEP) supplements during pregnancy in settings with a ≥ 20% prevalence of underweight women of reproductive age to reduce the risk of adverse health outcomes. Several countries are implementing BEP supplementation in varied formats. However, the implementation and monitoring of outcomes remain poor across countries. This qualitative study explores the experiences, opportunities, and challenges related to implementing national and sub-national BEP supplementation programs in nine countries (12 countries originally invited) to inform best practices. Methods: Semi-structured interviews were conducted with 15 personnel involved in its implementation in Haiti, India, Malawi, Mexico, Nigeria, Pakistan, Rwanda, Senegal, and Sri Lanka between October 2024 and March 2025. The interviewees in each country were predominantly implementation experts but also government officials involved in the provision of BEP supplementation. The transcripts were analyzed thematically, focusing on acceptability, adoption, appropriateness, cost, feasibility, and sustainability of outcomes. Results: In non-humanitarian settings (five countries), BEP supplementation was commonly integrated into the governmental health system or social protection programs. However, humanitarian contexts (four countries) often relied on partner-led (e.g., UN organizations) implementation. Clear operational protocols, including behavioral change communication strategies, facilitated the implementation. Community-based organization partnerships strengthened adherence; however, implementation costs, stock shortages, and geographic inequities in coverage varied and were limiting factors in scale-up, primarily in humanitarian contexts. Conclusion: In sum, two distinct implementation pathways emerged: government-led models characterized by policy integration, national ownership, and more stable systems, and humanitarian or donor-led models shaped by crisis response, external dependency, and non-committal challenges. Successful implementation of BEP supplements depends on the presence of effective policies, context-adapted design, integration into health systems, consistent funding, and effective monitoring. There is a need for implementation research to generate evidence on best practices when implementing BEP supplementation programs. Full article

Background/Objectives: A recent report by the Italian Ministry of Health showed that a high proportion of Emergency Department (ED) visits exceed the maximum recommended thresholds for both waiting time and overall length of stay. As no overall quantitative data are available on the magnitude, temporal evolution, and underlying drivers of ED performance from Southern Italian regions, we analyzed ED data from the Abruzzo region during the years 2017–2024, and evaluated potential predictors of prolonged waiting and process time. Methods: Official, administrative data from all the regional EDs were collected, and information on personnel, location and organizational change was obtained through a dedicated survey. All analyses were stratified and/or adjusted by triage code, hospital, age and sex. Results: From 2017 to 2024, a total of 3,563,565 accesses were recorded in the 16 regional EDs. From 2021, waiting time for the first visit steadily and progressively increased, reaching an average of 78 min in 2024 (+56.0%), largely exceeding recommended thresholds. The most critical growth was observed for the most severe patients, as mean waiting time for yellow and red admissions peaked at 81 (+100%) and 39 (+290%) minutes (m) in 2024, respectively. The mean process time also substantially increased in post-pandemic years, especially for yellow (from 300 m to 476 m) and red codes (from 330 m to 607 m). The trend was similar for both genders, in all age-classes, and higher in larger hospitals. Multivariable analyses confirmed a significant increase in ED time over the years. Conclusions: These findings indicate critical organizational and clinical issues in the regional emergency care system, requiring immediate action. The Regional Healthcare System recently tried to reduce ED overcrowding with specific plans, the impact of which requires urgent evaluation. Full article