Technology transfer within universities is essential for fostering innovation, productivity, and competitiveness, as demonstrated by the comprehensive analysis of 13 articles focused on successful technology transfer in higher education. The study employed the systematic literature review using PRISMA framework to ensure the selection of relevant and comprehensive articles. Findings revealed that the key factors are adapting, modifying, assimilating, and creating new technology, utilizing systems thinking and transformative organizational approach, synergizing the innovation ecosystem of university and industry, and cultivating knowledge-driven ecosystems. It emphasizes the value of adaptability, collaboration, transformational thinking, and information management. Thus, higher education institutions may promote innovation, stimulate economic growth, and help to define a future that is driven by scientific and technical breakthroughs by adopting these ideas.

Today, turbulence in the economic environment creates numerous challenges across various aspects of firms, requiring organizations to respond quickly to survive and grow. As a result, supply chain flexibility (SCF) has become a strategic priority for companies and a prevalent topic in academia. Grounded in Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT), this study examines how the business environment (ENVI) drives digitalization in operations management activities (DOM) and how DOM enhances SCF both directly and indirectly through supply chain visibility (SCV), supply chain collaboration (SCC), and supply chain risk management (SCRM). In this research, we collected data from 289 Vietnamese firms and analyzed them using PLS-SEM. We checked the reliability and discriminant validity of the measurement scales, then predicted the effect sizes and mediation effects of the relationships. The results show that ENVI significantly drives DOM adoption, which in turn improves SCV, SCC, and SCRM, thereby strengthening SCF. The findings reveal that supply chain visibility and risk management, but not collaboration, mediate the DOM–SCF relationship and function as sequential pathways through which environmental turbulence translates into greater supply chain flexibility. Furthermore, the research offers managerial insights into leveraging digital tools to construct more adaptable and resilient supply chains in volatile economic environments.

This study aims to develop a new scale to measure nurses' perceptions of distributed leadership and to test its psychometric properties. Distributed leadership remains an understudied concept in the context of nursing, and no distributed leadership scale specifically tailored for nurses has been identified. This is a cross-sectional, methodological, descriptive and correlational study. The development of this scale and the determination of its psychometric properties were carried out in three stages. First, a literature review was conducted. In the second stage, a preliminary evaluation of the items was performed. In the third stage, the psychometric properties were assessed. The study evaluated the scale's face, content and construct validity, as well as its internal consistency and test-retest reliability. The psychometric properties of the scale were evaluated in a sample of 550 nurses employed at a state hospital affiliated with the Ministry of Health in Turkey. Data were collected between December 2024 and April 2025. The content validity index of the scale was 0.86. According to the principal axis factor, the scale consisted of 26 items and three subdimensions, accounting for 62.20% of the total variance. The confirmatory factor analysis indicated that the fit indices were at an acceptable level for this structure. Reliability analysis demonstrated good internal consistency. The test-retest results indicated that the scale possesses temporal stability. The distributed leadership scale for nurses is a valid and reliable instrument for measuring nurses' perceptions of distributed leadership. It provides a comprehensive assessment through three subdimensions: collaborative management, leadership skills and collegial support.

The degradation of coastal ecosystems due to waste accumulation and the decline of mangrove vegetation has become an increasingly significant environmental challenge in the coastal areas of Jayapura City. This community service program aimed to improve the environmental quality of Cibery Beach through an integrated action consisting of coastal clean-up activities, underwater waste collection through diving, and ecosystem rehabilitation by planting mangrove (bakau) seedlings, conducted in commemoration of the 28th Anniversary of the Faculty of Mathematics and Natural Sciences, Universitas Cenderawasih. The implementation employed a participatory approach based on Participatory Action Research (PAR) and service learning, involving lecturers, students, local communities, and environmental volunteers. The activity stages included site assessment, environmental education on coastal conservation, coastal and underwater waste removal, mangrove seedling planting, and initial post-planting monitoring. The results demonstrated a reduction in waste accumulation along the coastline and underwater areas, as well as the stable establishment of mangrove seedlings as an initial step toward ecosystem rehabilitation. Ecologically, the program has the potential to support shoreline stabilization and improve coastal habitat quality, while socially enhancing environmental awareness and community participation in conservation efforts. This integrated action model is recommended as a sustainable approach to collaborative coastal ecosystem management between universities and local communities.

Such projects as large-scale visual arts, such as installations in the city, murals, and online exhibitions, require coordination among multidisciplinary design teams as never before. Conventional collaborative operations experience a major challenge in the efforts of ensuring consistency of arts, handling real-time contributions by the distributed workforce, and scaling artistic operations. The presented paper presents a new collaborative AI model which is specifically aimed to assist design teams to create the large-scale visual artworks. The system suggested above combines a multi-layer architecture that includes the data acquisition layer, AI processing layer, collaboration management layer, and immersive visualization layers. We use the most up-to-date generative models such as diffusion transformers and multi-agent artificial intelligences to facilitate the creation of co-creativity between human artists and intelligent agents. The system has built-in high-level synchronization techniques, version control systems, and customized recommendation systems based on creative processes. Experimental analysis indicates that team productivity (42%) and artistic coherence (87% quality score) and workflow efficiency (35 reduction in iteration time) were highly improved over traditional and semi-automated ones. Precision, recall, and F1-score in content generation tasks are found to be 0.91, 0.89, and 0.90 respectively in the quantitative analysis. Scalability tests assure real-time performance of a team with up to 50 concurrent users with under 200ms latency. This study building blocks provides the ground work of human-AI joint creativity in scale-artistic production.

To address the challenges of low-carbon economic optimization and collaborative management for multiple Virtual Power Plants (VPPs), this paper proposes a low-carbon economic optimization and collaborative management method based on a Stackelberg game framework. Firstly, a Stackelberg game model is constructed with the Distribution System Operator (DSO) as the leader and multiple VPPs as followers. The leader (DSO) guides the followers’ behavior through dynamic pricing strategies to maximize its own utility. Meanwhile, the followers (VPPs) develop energy management strategies to minimize their individual costs, taking into account factors such as energy transaction costs, fuel costs, carbon trading costs, operation and maintenance (O&M) costs, compensation costs, and renewable energy generation revenues. Furthermore, the strategy spaces of all participants are defined, and an optimization model is established subjected to constraints including energy balance, energy storage operation, power conversion, and flexible load response. The CPLEX solver and Nonlinear-based Chaotic Harris Hawks Optimization (NCHHO) algorithm are employed to solve the proposed game model. Simulation results demonstrate that the proposed method effectively facilitates collaboration between the DSO and multiple VPPs. While ensuring the safe operation of the system, it balances the profit between the DSO and VPPs, and incentivizes renewable energy consumption and indirect carbon reduction, thereby validating the effectiveness and superiority of the method and providing reliable technical support for the low-carbon collaborative operation of multiple VPPs.

Objective - to examine the environmental education and sustainability practices promoted by the urban collective “Cuidadores da APP Jardim Miriam”, based on the theoretical frameworks of tactical urbanism and critical environmental education. Methodology - this study employed a qualitative approach, including interviews with one of the collective’s key leaders and participant observation during field activities such as cleanup events, tree planting, and technical visits to the urban Permanent Preservation Area (APP). Originality/relevance - the study is situated within debates on community management of urban green spaces, addressing a theoretical gap concerning the role of urban collectives in sustainability promotion and the revitalisation of degraded territories. Results - the findings reveal that the collective’s actions significantly contribute to protecting and restoring the area while also engaging the local community in grassroots environmental management and education, benefiting both residents and the city of Campinas. Theoretical/methodological contributions - the study highlights tactical urbanism as an effective strategy for building participatory, resilient, and inclusive cities, contributing to the theoretical development of collaborative urban management. Social and environmental contributions - the collective's collaborative practices foster environmental awareness and citizen engagement, creating a decentralised, effective model for managing neglected urban green spaces neglected by public authorities.

Medication safety is a critical concern in geriatric care, with high rates of polypharmacy and potentially inappropriate medications among older adult patients in India. The EldenCare application was developed as a digital clinical decision support tool to address these challenges through evidence-based screening and collaborative medication management. To evaluate the reliability and feasibility of the EldenCare system in supporting safe medication practices among older adults. This prospective observational study was conducted over 10 days with 22 healthcare professionals and 15 simulated patient profiles. Reliability assessment included the validation of automated clinical calculations (creatinine clearance and glomerular filtration rate) and the evaluation of drug-related problem (DRP) detection. Feasibility was measured using the System Usability Scale (SUS), AttrakDiff Mini questionnaire, and Technology Acceptance Model. A companion mobile application was also evaluated by 15 Android users based on 11 key features. The EldenCare system received positive usability ratings (SUS: 72.82 ± 9.83) and high acceptance scores (perceived usefulness: 5.86 ± 0.65; perceived ease of use: 6.02 ± 0.60) from healthcare professionals, with no significant differences between physicians and clinical pharmacists (P > .05). However, significant technical limitations were identified: (1) none of the 25 test cases for clinical calculations fell within the acceptable ±2% error margin; (2) DRP detection showed inadequate accuracy across all categories (53.42% overall, range: 61.64% to 76.02%, all below the predetermined 95% threshold); and (3) the patient mobile application's medication and appointment reminder notifications failed after 3 days. EldenCare shows promising potential through high user acceptance but requires substantial technical refinement before clinical implementation. Future development should focus on algorithm accuracy, medication database mapping, and notification reliability to enhance medication safety in older adults.

Multidisciplinary team perspective of an intensive care nurse practitioner role within a major trauma centre.

New models of collaboration within the primary care team: transversality and coordination. SESPAS Report 2026

Climate change and intensified human activities are leading to the degradation of alpine grasslands, landscape fragmentation, and soil erosion, threatening the ecological security and sustainable development of the Yellow River Basin. To address the limitations of existing research, which often focuses on static risk descriptions and lacks simulations of behavioral responses and policy interventions, this study systematically assesses the spatiotemporal evolution and driving mechanisms of landscape ecological risk (LER) in the Gannan Plateau from 1980 to 2020, and quantifies the long-term impacts of different grazing policies on grassland landscape degradation and restoration. We used the Landscape Ecological Risk Index (ERI) to depict the risk pattern, employed the Boosted Regression Tree (BRT) to identify the relative importance of factors, and constructed an Agent-Based Model (ABM) in NetLogo for grassland landscape ecological risk scenario simulation and policy response based on key factors, conducting multi-scenario simulations to test the effects of policy combinations. The results show that the ecological risk in the study area exhibits a spatial gradient of “high in the northeast and low in the southwest”, with medium and low risks predominating; slope and GDP are the dominant factors. Multi-scenario simulations show that a single policy is insufficient to curb grassland degradation, while a comprehensive strategy combining “Seasonal grazing bans + Spatial grazing prohibition zones + Livestock quantity limits” is optimal in terms of both ecological and cost-effectiveness. This study proposes a “Risk Diagnosis - Driving Mechanism Analysis - Dynamic Simulation - Policy Optimization” framework, providing a scientific basis for differentiated and collaborative management in the alpine pastoral areas of the Yellow River Basin, and has theoretical and practical value for the construction of ecological security barriers and the sustainable utilization of grasslands. • Integrated ERI–BRT–ABM framework links risk diagnosis to policy response simulation. • Slope and GDP are the top drivers of landscape ecological risk in Gannan. • Simulated multi-policy scenarios to assess grassland landscape management and degradation control. • Seasonal bans + spatial zones + livestock limits best prevent grassland landscape degradation.

• A novel multi-scale ecohydrogeological monitoring approach for KCZ is presented. • Strategic site selection ensures representativeness in heterogeneous karst terrains. • Customized precipitation monitoring and soil solution sampling were developed. • Recommendations for logger placement in fluctuating water level areas were given. • Opportunities to integrate sensor networks and up-scaling are emphasized. Contemporary environmental concerns highlight the vulnerability of karst environments to changing hydrometeorological patterns and vegetation disturbance, necessitating a unified, interdisciplinary strategy for comprehensive understanding. This paper critically examines the current state of research. To overcome the identified gaps, it presents an integrated multi-scale ecohydrogeological monitoring approach tailored to karst critical zones (KCZ) and its spatio-temporal variability. Forested karst aquifer in Slovenia is used as a case study to demonstrate and assess the strengths and limitations of the proposed monitoring framework. To decipher flow dynamics and propose customized data collection strategies the approach combines surface and underground sites and employs advanced methods adapted to the challenges of karst environments. The results highlight the benefits and advancements of monitoring and sampling approaches to ensure representativeness in heterogeneous environments. The focus is on the use of enhanced precipitation monitoring systems to expand sampling areas nearly fivefold and improve precipitation and throughfall measurements. Additionally, customized lysimeter techniques for karst soils and microscale adaptations for cave exploration have been developed, addressing the challenges of instrument placement in environments with significant variability. Further opportunities lie in improving instrument protection, integrating sensor networks, combining remote sensing and scaling from plot to aquifer level. However, challenges remain in achieving spatio-temporal representativeness and ensuring the operational reliability of snow monitoring, soil solution sampling and drip flow measurements. Threats include environmental pressures and hydrometeorological conditions, equipment tampering and funding stability. Nevertheless, this comprehensive approach improves monitoring of ecohydrogeological processes in the KCZ, promotes interdisciplinary collaboration and environmental resource management.

The Internet of Vehicles (IoV) enables data exchange among individuals, cloud resources, road infrastructures, and vehicles, interconnected through Vehicular Ad Hoc Networks (VANETs). VANETs comprise vehicles with Onboard Units (OBUs), Roadside Units (RSUs), and a Trusted Party Agent (TPA). The data transmission among these entities supports seamless interaction and collaborative traffic management. However, data transmission on public communication channels in VANETs presents significant challenges, including security, privacy, and authentication of participating entities. Although numerous key exchange and authentication protocols have been introduced to tackle these issues, many protocols remain vulnerable to various attacks, such as a vehicle, RSU, TPA impersonation, denial of service, physical cloning, and desynchronization attacks. Therefore, to address these vulnerabilities, we propose a key exchange protocol that leverages hash functions and Advanced Encryption Standard (AES) encryption. Our protocol also integrates the Physical Unclonable Function (PUF), enhancing its resistance to physical or cloning attacks. Additionally, it effectively counters threats like impersonation, session key leakage, ephemeral secret leakage, and desynchronization attacks. We validate the security and reliability of our protocol through both formal and informal analysis. Informal analysis highlights the protocol’s essential security features, while formal analysis provides robust substantiation. Performance evaluation reveals that our protocol achieves an average reduction of 35.53%, and 53.77%, in communication and computation overheads.

Continuity of care prioritizes patient-centered approaches. Effective continuity of care is essential for ensuring high-quality service delivery and benefits for patients in the end-of-life phase. Although continuity of care has been well-established, few studies have focused on promoting continuity of care in big cities. The purpose of this action research was to develop a model for continuity of care during the end-of-life phase in Bangkok. Key participants were 8 nurses involved in continuity of care services. The data collection consisted of in-depth interviews, focus group discussions, observation, and document reviews. The research process followed the action research cycle. Content analysis was employed. The 3 emerging domains of continuity of care during the end-of-life included (1) comprehensive patient information; (2) collaborative care management; and (3) technology-supported care. The participants indicated that the key factors to successful continuity of care during the end-of-life involved: (1) clear goals; (2) effective communication; (3) proactive coordination; and (4) good health care provider-client relationships. The model motivated nurses and other providers in the hospital to change practices associated with continuity of care for palliative care patients. This study's findings provide a foundation for future research to strengthen sustainable care continuity and develop palliative care networks in urban Thailand.

Optimal Timing of Bronchoscopy After Total Joint Arthroplasty: Impact on Periprosthetic Joint Infection and Revision Rates.

This study aims to adapt the six-factor “Students’ Sustainable Engagement in E-Learning Scale” (SSE-eL-S) developed by Lee et al. (2019) from English to Turkish language and culture and validate its psychometric properties to be conducted as a reliable research instrument. It was designed with a three-step approach involving translation and cross-cultural adaptation, pre-testing, and field testing. First, the SSE-eL-S was cross-culturally adapted to the Turkish language and culture with forward and backward translation as well as functional, conceptual, and linguistic assessment. Subsequently, in the pre-testing phase, the English and Turkish versions of the scale were administered to a sample of 43 university students, and paired sample t-tests with Pearson correlation analyses were conducted to ensure content equivalence and reliability. In the field testing phase, data were collected from two independent student samples. Exploratory factor analysis and internal consistency analysis were applied to the first group (n=226), resulting in a four-factor structure. Confirmatory factor analysis was subsequently performed on the second group (n=206) to validate the factor structure. The model exhibited acceptable fit indices (χ²/df=2.065; CFI=0.934; IFI=0.935; RMSEA=0.072), and internal consistency coefficients ranged between 0.799 and 0.936. Furthermore, convergent and discriminant validity were confirmed through AVE, CR, MSV, and Fornell-Larcker analyses. The finalized Turkish version consisted of 20 items categorized into four factors: psychological motivation, peer collaboration, cognitive problemsolving, and learning management. The adapted SSE-eL-S provides a reliable and valid tool to measure sustainable student engagement in e-learning environments in higher education.

The adoption of text-based Generative AI (GenAI), especially Large Language Models (LLMs), offers promising opportunities for improving documentation, coordination, compliance, and decision-making in construction Operations and Supply Chain Management (OSCM). Yet multiple constraints limit effective deployment in the Indian construction context. This study investigates the blockades hindering GenAI adoption and models their interrelationships using expert evaluations and a Grey-DEMATEL approach. Ten interconnected blockades are identified across technological, data-integration, and organizational–institutional domains. Real-time data processing, model accuracy and domain validity, and computational resource requirements emerge as the most influential cause blockades, shaping downstream challenges in collaboration, regulatory alignment, and workflow management. By revealing how these blockades interact, the study provides a structured framework for understanding GenAI adoption barriers and offers theoretically grounded implications for policymakers, contractors, SMEs, and technology providers. The findings deliver a focused evidence base to guide targeted interventions aimed at strengthening readiness for GenAI-enabled transformation in India’s construction supply chains.

Continuous positive airway pressure (CPAP) for treating acute pediatric bronchial asthma exacerbations rises yearly. Inhaled corticosteroids (ICS) are key for controlling asthma-related inflammation, but research on ICS combined with the collaborative management model (CMM) remains incomplete. This study aims to explore the effect of CMM combined with ICS in CPAP treatment for children with acute bronchial asthma exacerbations. 107 children with acute bronchial asthma exacerbations receiving CPAP in our hospital's Respiratory Department (Jan 2023-Jan 2025) were screened; 104 were included after exclusions. Based on the records of medical record treatment, they were divided into ICS group (51 cases) and CMM+ICS group (combined group, 53 cases). pulmonary function [forced expiratory volume in 1 second (FEV1), peak expiratory flow (PEF)], arterial blood gas [Arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), oxygen saturation (SaO2)] and CPAP-related complication incidence. vital signs [respiratory rate (RR), heart rate (HR), blood pressure (BP)], hospital stay length, duration of a single management session, incremental cost-effectiveness ratio (ICER), pediatric asthma quality of life questionnaire (PAQLQ) scores and parental self-rating anxiety scale (SAS) anxiety levels. Results showed that the combined group had significantly higher FEV1, PEF, PaO2 and SaO2 than the ICS group (all p<0.05), whereas PaCO2 (p<0.001) and CPAP complication incidence (p=0.024) were lower than the ICS group. Additionally, the combined group had significantly lower RR, HR, SBP and DBP (all p<0.05), significantly shorter hospital stay and duration of a single management session (both p<0.001) and a significantly favorable ICER (-225.13 yuan/day) than the ICS group. Moreover, it had significantly higher PAQLQ scores (p<0.001) and lower parental SAS scores (p<0.001) compared with the ICS group. CMM combined with ICS in CPAP improves pediatric acute asthma exacerbations, has high clinical value, worthy of respiratory promotion.

Tourism development in the archipelago faces complex challenges related to environmental sustainability, regional governance, and local community engagement. Adranan Island, Tual City, as a conservation-oriented tourist area, needs a management model that is able to effectively integrate the role of government and community participation. The main problems in the development of this area are the lack of optimal participatory governance, institutional limitations, and challenges in maintaining a balance between the use of tourism and environmental conservation. This study aims to analyze the governance and participation of the community in the development of conservation-oriented educational tourism on Adranan Island and its implications for the sustainability of the region. The research method used is a descriptive qualitative approach with data collection techniques through field observation, in-depth interviews, and documentation studies. Data analysis is carried out interactively through the stages of data reduction, data presentation, and conclusion drawn. The results of the study show that the role of local governments as regulators, facilitators, and supervisors, as well as the active involvement of the community as direct actors in tourism, contribute positively to the environmental and social sustainability of the region. The synergy between governance and community participation forms a collaborative management pattern, although it is still faced with limitations in infrastructure, funding, and conservation awareness. The conclusion of the study emphasizes that strengthening participatory and institutional governance is the main key in realizing sustainable conservation-oriented educational tourism in the archipelago.

To systematically evaluate the experiences of chronic heart failure patients and their informal caregivers in jointly managing the disease, clarify their support needs, and provide evidence for developing targeted interventions. A qualitative meta-synthesis. We systematically searched PubMed, Embase, CINAHL, Web of Science, Cochrane Library, CNKI, Wanfang, and VIP for qualitative studies examining the dyadic coping experiences of patients with chronic heart failure and their caregivers. The quality of the literature was evaluated according to the JBI Critical Appraisal Checklist for Qualitative Research, and the included literature was integrated and analyzed using the pooled integration approach. A total of 16 studies were included. 55 findings were aggregated into 13 categories and further synthesized into 4 overarching themes: divergent perspectives on illness and care; psychosocial resource depletion; disruptions in family intimacy; and the need for multidimensional support to reconstruct personal meaning. Healthcare professionals should pay close attention to differences in thinking, the degree of depletion of psychological resources, the tension in family intimacy, and supportive needs during the dyadic coping process between patients with chronic heart failure and their caregivers. Based on this, individualized interventions can be developed, leveraging digital technologies and platforms to enrich intervention formats and content, thereby enhancing collaborative disease management between both parties. https://www.crd.york.ac.uk/PROSPERO/view/CRD420251243342, CRD 420251243342.