Search Results (253)

This paper applies a multi-level social network analysis to examine Aragón’s innovation ecosystem, focusing on a decade of competitive public projects (2014–2023) aligned with the region’s Smart Specialisation Strategy (S3) 2021–2027. By mapping and weighting the participation of regional entities across regional, national, and European calls, the study uncovers how all types of local actors organise themselves around key specialisation areas. Moreover, a comparative benchmark is introduced by analysing more than 33,000 Horizon 2020 and Horizon Europe initiatives without Aragonese partners, revealing how to fill structural gaps and enrich the regional ecosystem through international collaboration. Results show strong funding concentration in four fields—Energy, Health, Agri-Food, and Advanced Technologies—while other historically strategic areas like Hydrogen and Water remain underrepresented. Although leading institutions (UNIZAR, CIRCE, ITA, AITIIP) play central roles in connecting academia and industry, direct collaboration among them is limited, pointing to missed synergies. Expanding previous SNA-based assessments, this study introduces a diagnostic tool to guide policy, proposing targeted actions such as challenge-driven calls, dedicated support programs, and cross-border consortia with top EU partners. Applied to two contrasting specialisation areas, the method offers sector-specific recommendations, helping policymakers align Aragón’s innovation capabilities with EU priorities and strengthen its position in both established and emerging domains. Full article

The 100-Day Mission, coordinated by the Coalition for Epidemic Preparedness Innovations (CEPI) and endorsed by significant international stakeholders, aims to shorten the timeframe for developing and implementing vaccines to 100 days after the report of a new pathogen. This ambitious goal is outlined as an essential first step in improving pandemic preparedness worldwide. This review highlights the mission’s implementation potential and challenges by examining it through the lens of low- and middle-income countries (LMICs), which often face barriers to equitable vaccine access. This article explores the scientific, economic, political, and social aspects that could influence the mission’s success, relying on lessons learned from previous pandemics, such as the Spanish flu, H1N1, and COVID-19. We also examined important cornerstones like prototype vaccine libraries, accelerated clinical trial preparedness, early biomarkers identification, scalable manufacturing capabilities, and rapid pathogen characterization. The review also explores the World Health Organization (WHO) Pandemic Agreement and the significance of Phase 4 surveillance in ensuring vaccine safety. We additionally evaluate societal issues that disproportionately impact LMICs, like vaccine reluctance, health literacy gaps, and digital access limitations. Without intentional attempts to incorporate under-resourced regions into global preparedness frameworks, we argue that the 100-Day Mission carries the risk of exacerbating already-existing disparities. Ultimately, our analysis emphasizes that success will not only rely on a scientific innovation but also on sustained international collaboration, transparent governance, and equitable funding that prioritizes inclusion from the beginning. Full article

Background: PP-007 (SANGUINATE^®, PEGylated carboxyhemoglobin, bovine) is under development to treat conditions of ischemia/hypoxia. Hemorrhagic/hypovolemic shock (H/HVS) becomes a life-threatening comorbidity due in part to hypotension and hypoxia. Blood transfusions are indicated, but supply and compatibility issues may limit subject access or when blood is not an option due to religious restriction or concern for clinical complications. PP-007 is universally compatible with an effective hydrodynamic radius and colloidal osmotic pressure facilitating perfusion without promoting extravasation. Methods: A review of previous clinical trials was performed and revealed an Open-Label Phase 1 safety study of acute severe anemia (hemoglobin ≤ 5 g/dL) in adult (≥18 y) patients unable to receive red blood cell transfusion (NCT02754999). Primary outcomes included safety events with secondary efficacy measures of organ function and survival at 1, 14, and 28 days. Additionally, a retrospective review of published, peer-reviewed case reports was performed, evaluating the administration of Sanguinate for Expanded Access in those patient populations where blood was not an option over the past 12 years. Results: A total of 103 subjects were enrolled in the Phase I safety study with significant co-morbidities that most commonly included hypertension (n = 43), acute and chronic kidney disease (n = 38), diabetes mellitus (n = 29), gastrointestinal bleeds (n = 18), and sickle cell disease (n = 13). Enrollment characteristics included decreased hemoglobin and severe anemia (mean baseline hemoglobin of 4.2 g/dL). Treatments included an average of three infusions [range 1–17]. Secondary efficacy measures were mean Hb levels, respiratory support, and vasopressor requirements, all demonstrating clinically relevant improvements. Fourteen additional cases were identified in the literature. Though one patient died due to pre-treatment conditions, all patients but one were discharged home in stable condition. Conclusion: Collectively, these observations are encouraging and provide support for the continued evaluation of PP-007 in advanced clinical trials in severe anemia including H/HVS. The review of published case reports underscored the potential of Sanguinate to reduce early mortality. Adverse effects included transient hypertension, lethargy, dizziness, and troponin elevation. These findings highlight the need for continued research and funding of blood alternatives to improve outcomes when standard blood transfusions are unavailable or contraindicated. Full article

Background/Objectives: The COVID-19 pandemic exposed critical vulnerabilities in healthcare systems, especially in ensuring continuity of care for patients with chronic diseases. Rehabilitation services, essential for recovery following SARS-CoV-2 infection, were among the most disrupted. This exploratory study aimed to assess Romanian patients’ perceptions of the accessibility and quality of post-COVID-19 rehabilitation services, focusing on individuals with chronic conditions. Methods: This exploratory cross-sectional study was conducted over a 12-month period in 2024. Data were collected from 76 adult patients diagnosed with at least one chronic condition (hypertension, diabetes mellitus, ischemic heart disease, cancer, or chronic obstructive pulmonary disease) and with confirmed prior SARS-CoV-2 infection. Most participants were recruited during outpatient specialty consultations, with a smaller number included from hospital settings, all located in Bucharest. A structured questionnaire was administered by the principal investigator after obtaining informed consent. Quantitative data were analyzed using non-parametric methods following confirmation of non-normal distribution via the Shapiro–Wilk test (p < 0.05). Satisfaction scores were reported as medians with interquartile ranges (IQR), and group comparisons were performed using the Mann–Whitney U test. A mixed-methods approach was employed, including thematic analysis of open-ended responses. Results: Patient satisfaction with rehabilitation services was consistently low. The median satisfaction scores [IQR] were accessibility 1.0 [0.0–2.0], quality of services 0.0 [0.0–4.0], staff empathy 0.0 [0.0–5.0], and perceived effectiveness 0.0 [0.0–5.0]. The median score for perceived difficulties in access was 1.0 [1.0–2.0], indicating widespread barriers. No statistically significant differences were observed between urban and rural participants or across chronic disease categories. Thematic analysis (n = 65) revealed key concerns including lack of publicly funded services, cost barriers, limited physician referral, service scarcity in rural areas, and demand for home-based rehabilitation options. Conclusions: Romanian patients with chronic illnesses and previous SARS-CoV-2 infection continue to face substantial barriers in accessing post-COVID-19 rehabilitation services. These findings highlight the need for more equitable and integrated recovery programs, especially for vulnerable populations in underserved settings. Full article

This study examines the interplay between oil price volatility, sustainability-driven initiatives, and the MSCI UAE Index, highlighting the challenges that oil-dependent economies face in balancing financial stability with sustainability transitions. Using a dataset of 2707 daily observations from 2014 to 2024, we applied linear regression, ARCH, GARCH, and TARCH models to analyze volatility dynamics across two key periods: the 2014–2016 oil price collapse and the 2019–2023 phase marked by the COVID-19 pandemic and increasing sustainability efforts. Our findings indicate that oil price fluctuations significantly impact the MSCI UAE Index, with GARCH models confirming persistent volatility and TARCH models revealing asymmetrical effects, where negative shocks intensify market fluctuations. While the initial sustainability policy announcements contributed to short-term volatility and investor uncertainty, they ultimately fostered market confidence and long-term stabilization. Unlike previous studies focusing solely on oil price volatility in emerging markets, this research integrates sustainability policy announcements into financial modeling, providing novel empirical insights into their impact on financial stability in oil-exporting economies. The findings suggest that stabilization funds, dynamic portfolio strategies, and transparent regulatory policies can mitigate oil price volatility risks and enhance market resilience during sustainability transitions, offering valuable insights for investors, policymakers, and financial institutions navigating the UAE’s evolving economic landscape. Full article

This paper examines a series of bachelor’s and master’s thesis projects from the supervisor’s perspective, focusing on how Augmented Reality (AR) and Mixed Reality (MR) can enhance industrial robotics engineering education. While industrial robotics systems continue to evolve and the need for skilled robotics engineers grows, teaching methods have not changed. Mostly, higher education in robotics engineering still relies on funding industrial robots or otherwise on traditional 2D tools that do not effectively represent the complex spatial interactions involved in robotics. This study presents a comparative analysis of seven thesis projects integrating MR technologies to address these challenges. All projects were supervised by the lead author and showcase different approaches and learning outcomes, building on insights from previous work. This comparison outlines the benefits and challenges of using MR for robotics engineering education. Additionally, it shares key takeaways from a supervisory standpoint as an evolutionary process, offering practical insights for fellow educators/supervisors guiding MR-based robotics education projects. Full article

Background/Objectives: This study aims to fill gaps in the existing literature through a qualitative evaluation of stakeholders involved in Food Is Medicine (FIM) programs. The primary objective was to examine the structural components, implementation process, and perceived impact of the University of California Los Angeles (UCLA) and Venice Family Clinic (VFC) Emergency Prepared Meal Program (UCLA-VFC Food Program), developed as a collaboration between a university and Federally Qualified Health Center (FQHC) during a period of community crisis. A secondary objective was to compare this program with three other FIM initiatives, identifying convergences and divergences in design and effectiveness. Methods: The methodology involved semi-structured interviews conducted with stakeholders across all four programs. Participants were recruited based on their direct involvement with program ideation, design, or implementation. Interviews were conducted online between July and September 2022, with 11 stakeholders. A thematic analysis was applied to the transcribed responses using an inductive thematic analysis. Results: Key findings highlighted four recurrent themes: (1) the critical role of leadership and a collaborative culture; (2) the importance of community partnerships and health education; (3) challenges related to logistics, funding, and sustainability; and (4) the need for assessment and evaluation. These findings provide valuable insight into the design of future FIM interventions, particularly those embedded in healthcare settings. Conclusions: In conclusion, this study offers preliminary evidence supporting the unique potential of university–community partnerships to address food insecurity. Unlike previous research that emphasized clinical outcomes, our findings provide a contextualized understanding of programmatic implementation. While further quantitative evaluation is necessary, this work lays the groundwork for a collaborative model between various entities including universities, healthcare systems, clinics, and community health/food services aimed at addressing social determinants of health. Full article

Modern healthcare generates significant amounts of greenhouse gas emissions and waste, which pollute the global environment and damage human health. Healthcare firms could reduce these environmental emissions and waste by developing environmentally friendly technologies and production processes. However, the implementation of green innovations requires significant investments. Healthcare equity mutual funds could provide them financial resources whether this allows fund managers to comply with their fiduciary duties. Previous literature has examined the financial performance of healthcare mutual funds without considering the environmental practices that investees adopt. To understand this issue, we examined the effect of investees’ environmental business practices on healthcare fund financial performance by considering different states of the economy. To this end, we obtained a sample of 148 global healthcare equity mutual funds from December 2015 to December 2022. Adopting the Fama–French model, our findings indicate that mutual funds improve financial performance when investee firms are in the initial phase of greening their processes and activities. However, the mutual funds invested in healthcare firms with advanced environmental practices achieve risk-adjusted returns similar to those invested in healthcare firms that implement conventional business management strategies. Furthermore, the financial performance of healthcare mutual funds is not significantly affected by the COVID-19 pandemic crisis at the aggregate level. Therefore, adopting environmental practices in the healthcare sector will not result in a loss of investor wealth from 2016 to 2022. Full article

This paper presents a network-based bibliometric analysis of digital transformation in the shipping industry, a sector undergoing rapid change due to advancements in automation, artificial intelligence, blockchain, and Internet of Things. The study synthesizes existing knowledge to identify trends, challenges, and opportunities for industry stakeholders and researchers. Unlike previous literature reviews, this work adopts a graph theory approach applied to a large dataset of scientific publications, without predefined technological or industrial sub-domains. Data were collected from EBSCO, ProQuest, and IEEE eXplore, then refined using OpenAlex to comprise 2293 scientific publications. The analysis includes descriptive statistics, co-authorship network analysis, co-citation network analysis, and thematic analysis. The findings reveal a significant increase in publications since 2005, with exponential growth after 2015. They also suggest a potential inflection point after 2024. A small percentage of authors and institutions account for a disproportionate share of publications, suggesting a skewed distribution of research efforts and encouraging funding agencies to broaden maritime research worldwide. The co-authorship network exhibits a heavy-tail distribution and interconnected communities, indicating extensive national and international collaborations. The co-citation analysis identifies key research areas such as fuel consumption optimization, safety and risk management, and smart port development. Thematic analysis highlights the growing importance of artificial intelligence and cybersecurity. Full article

While speakers of German have adopted many loanwords from other languages throughout history, recent diversification of language use in Germany is mainly driven by the global mobility of English. Previous research has therefore focused on various domains in which English linguistic resources are used, particularly in traditional media and social media communication. Furthermore, many studies on social media communication have also examined English language internet memes more broadly. Despite this plethora of research, little attention has been paid to how English is used in internet memes and reels produced by professional journalists in Germany. Playing a significant role in communication amongst young people, internet memes and reels are used by many German youth media organisations. In particular for youth radio stations in Germany, which have become multimedia outlets, online communication via Instagram is vital for their audience interaction. This paper examines the use of English linguistic resources in a professionally produced Instagram corpus of internet meme and reel captions produced by journalists working for one of the largest youth radio stations in Germany. Data for the analysis of Instagram content were collected as part of the larger ethnographic research project CIDoRA (funded by the European Union). For this project, a mixed methods approach was applied. Methods of data collection and analysis include linguistic ethnography both at the youth radio station and on the station’s Instagram profile page, informal interviews and 20 semi-structured interviews with journalists, and a quantitative and qualitative analysis of 980 meme and reel captions produced for the station’s Instagram profile. Since the youth radio station’s Instagram profile functions as a means of the station’s online self-advertisement, the analysis of this article also draws on a previous study by the researcher. This study analysed possible facilitating factors for the use of catachrestic and non-catachrestic anglicisms in radio station imaging (radio self-advertisement) of six German adult contemporary radio stations. The article therefore includes an analysis of the possible facilitating factors lexical field, brevity of expression, diachronic development of the pragmatic value of lexical items and semantic reasons for the use of English in Instagram content. It thereby explores the differences in anglicism use between these two media formats (radio broadcasting and social media communication) and whether possible facilitating factors for the use of English in adult contemporary radio station imaging are also facilitating factors for the use of English in meme and reel captions produced by the youth radio station. Full article

For many Native American students, the thirty-seven existing tribal colleges improve their access to post-secondary education, especially for those living in reservation communities and surrounding rural areas. They also support tribal nations’ goals of offering accredited degree programs, as well honoring Indigenous knowledge. This is important for students enrolled in STEM courses since Native Americans are under-represented in these fields. In the early 2000s, Chief Dull Knife College (CDKC), the tribal college of the Northern Cheyenne Nation, was supported by National Science Foundation funding in developing a new math program to meet the unique cultural and instructional needs of its students. In this case study of a culturally responsive math program, we hypothesize that students participating in the new developmental math program attempt and earn more credits compared to cohorts participating in previous math programs and take less time on average to reach college-level math. We present information on the math outcomes of the participants in two variations of the math program reforms that have addressed the obstacles to student retention and achievement. The panel data available include students’ demographic characteristics, placement test scores, and math course grades and the credits for all students enrolled from 2006 to 2019. While the number of credits attempted or earned did not differ statistically across the cohorts, the qualitative data further show that the students appreciate the culturally responsive aspects of the program. Ultimately, we have found that these aspects resulted in increased confidence of the students in their academic skills, stronger Native identities and engagement as students, as well as an improved sense of belonging in this higher education environment, all of which were important goals of the developmental math program. Full article

Over 40 years ago, scientists imagined ways cloning could aid conservation of threatened taxa. The cloning of Dolly the sheep from adult somatic cells in 1996 was the breakthrough that finally enabled the conservation potential of the technology. Until the 2020s, conservation cloning research efforts yielded no management applications, leading many to believe cloning is not yet an effective conservation tool. In strong contrast, domestic taxa are cloned routinely for scientific and commercial purposes. In this review, we sought to understand the reasons for these divergent trends. We scoured peer-reviewed and gray literature and sent direct inquiries to scientists to analyze a more comprehensive history of the field than was analyzed in previous reviews. While most previous reviewers concluded that a lack of reproductive knowledge of wildlife species has hindered advances for wider conservation applications, we found that resource limitations (e.g., numbers of surrogates, sustainable funding) and widely held misconceptions about cloning are significant contributors to the stagnation of the field. Recent successes in cloning programs for the endangered black-footed ferret (Mustela nigripes) and Przewalski’s horse (Equus przewalskii), the world’s first true applied-conservation cloning efforts, are demonstrating that cloning can be used for significant conservation impact in the present. When viewed alongside the long history of cloning achievements, these programs emphasize the value of investing in the science and resources needed to meaningfully integrate cloning into conservation management, especially for species with limited genetic diversity that rely on the maintenance of small populations for many generations while conservationists work to restore habitat and mitigate threats in the wild. Full article

The intense rising of machine learning in the previous years, bolstered by post-COVID-19 digitalization, left some of us pondering upon the transparency practices involving projects sourced from European Union funds. This study focuses on the European Union research clusters and trends in the ecosystem of higher education institutions (HEIs). The manually curated dataset of bibliometric data from 2020 to 2024 was analyzed in steps, from the traditional bibliometric indicators to natural language processing and collaboration networks. Centrality metrics, including degree, betweenness, closeness, and eigenvector centrality, and a three-way-intersection of community detection algorithms were computed to quantify the influence and the connectivity of institutions in different communities in the collaborative research networks. In the EU context, results indicate that institutions such as Universidad Politecnica de Madrid, the University of Cordoba, and Maastricht University frequently occupy central positions, echoing their role as local or regional hubs. At the global level, prominent North American and UK-based universities (e.g., University of Pennsylvania, Columbia University, Imperial College London) also remain influential, standing as a witness to their enduring influence in transcontinental research. Clustering outputs further confirmed that biomedical and engineering-oriented lines of inquiry often dominated these networks. While multiple mid-ranked institutions do appear at the periphery, the data highly implies that large-scale initiatives gravitate toward well-established players. Although the recognized centers provide specialized expertise and resources, smaller universities typically rely on a limited number of niche alliances. Full article

Workplace injuries are a significant issue in the construction industry. The efficiency and effectiveness of the OHS system can be analysed using safety indicators. This paper presents a methodological procedure for the selection and ranking of indicators to improve the OHS system. The procedure consists of two phases: preparatory and execution. In the preparatory phase, a hierarchical structure was proposed, consisting of three aspects, four factors, and thirty-nine indicators. Additionally, experts were selected. In the execution phase, experts applied the weighted Borda method to select five key indicators for each factor. The selected indicators were then compared and ranked using the group fuzzy analytic hierarchy process (FAHP). The influence of experts in the selection and ranking of indicators was determined according to their previous experience. The procedure was applied to analyse OHS systems in small window- and door-fitting companies. Among the indicators, experts highlighted the efficiency of OHS resource management, the frequency of coordinating activities with contractors, the communication capacity of the workers, the analysis of the results of external OHS controls, the number of external funds for OHS system improvements as well as the number and assessment of incidents. Furthermore, ten scenarios were analysed with varying values of factor weight values. The scenarios demonstrated that the highlighted indicators were consistently ranked among the top ten indicators. Full article

Previous studies have focused on the fact that government policies are the key factors in promoting the development of intelligent construction in construction enterprises. However, how to select different forms of policy support and quantify the intensity of policy support, as well as the impact on the behavioral strategies of construction enterprises and the government, still needs in-depth exploration. This paper constructs an evolutionary game model between construction companies and the government, using the system dynamics simulation software Vensim to analyze the model under three different government policy support scenarios. The study explores how varying levels of policy support and key factors influence the strategic choices of the game participants, providing valuable insights for promoting the development of intelligent construction. The key findings are as follows: (1) The willingness to adopt intelligent construction is heavily dependent on policy incentives. The incentive effect of the three single policies is much lower than that of the combined policies, and only high-intensity special fund support (more than 8 CNY/m²) significantly promotes widespread adoption. Among combinations of policies, tax incentives coupled with special funds prove most effective. (2) The government’s decision to actively promote intelligent construction hinges on a cost–benefit analysis. Under medium to high levels of special fund support, medium to low levels of service support are more beneficial for reaching a stable state of intelligent construction implementation. (3) Reducing the incremental costs of intelligent construction transformation is the primary key factor in promoting construction. The findings contribute to a deeper understanding of how both the government and construction companies can adjust their strategies in response to policy changes, ultimately leading to more effective policy implementation and strategic decision-making. Full article