Search Results (101)

Background: Leishmaniasis, a vector-borne disease caused by the parasite Leishmania, is a public health concern in Europe. Although Spain is an endemic country, it lacks a national surveillance network. To address this, the creation of a research and surveillance network is proposed, which would integrate data from various fields and enhance control and public health strategies. Objectives: The first objective is to gather epidemiological data on vectors, reservoirs, and transmission rates in Spain, with a particular focus on the role of dogs and wildlife as primary reservoirs. The plan includes establishing forums, databases, and specialised training programmes. The second objective is to improve case surveillance and reporting by establishing a comprehensive national registry. Implementing molecular diagnostics and bioinformatics tools will aid analysis of retrospective data and tracking of disease evolution. The third objective is to develop a standardised method for the molecular characterisation of Leishmania, using techniques such as PCR and genomic sequencing to detect virulence and resistance patterns. Key actions include collecting isolates, sharing analytical tools and providing genomic training. The fourth objective is to identify new therapeutic targets in response to toxicity and resistance to current treatments by studying specific enzymes (FeSOD, HDAC), metabolic pathways, and natural products. Ultimately, establishing the Leishmaniasis Surveillance Network will support a “One Health” approach and promote interdisciplinary collaboration towards a national control plan. Methods: We created the Working Group on Leishmaniasis funded by the Spanish Society of Tropical Medicine and International Health as a leishmaniasis forum for meetings and discussions on weaknesses and gaps we find in the knowledge and management of the infection based on the background of each academic and healthcare research group. Expected Impact: This study will promote the articulation of a Leishmaniasis Surveillance Network aiming to bring together the main stakeholders in the research and management of leishmaniasis in Spain. Full article

The editorial policies of science journals have an impact on access to scientific knowledge. One of the most effective ways to share knowledge with the entire society is to offer it free of charge. Considering the international recognition of Scopus and Web of Science, this study analyses 28 scientific journals in the field of communication that are indexed under the “Communication” category in both databases in order to review their editorial decisions regarding the dissemination of articles they publish. By taking a descriptive approach, the authors have examined the inner workings and design, as well as aspects related to ethics and transparency, as key components of this policy. The findings indicate that most journals are influenced by digital publishing platforms and that various features examined in this study are offered by these platforms by default. This is especially true in terms of design, which simultaneously enables yet influences each journal’s editorial policy. Together with the need for financial support and adequate human resources, this situation makes it difficult to implement an editorial policy free of external encroachment. This article concludes by emphasising the importance of establishing editorial policies that promote open access as a standard practice, thereby reinforcing the democratisation of access to scientific knowledge. It is recommended to strengthen institutional support for journals operating under the diamond model, promote their visibility and thematic specialisation, enhance technical and visual aspects, and clearly articulate ethical commitments within their editorial policies. In short, this analysis provides a comprehensive overview of both strengths and areas of improvement, offering recommendations to help these journals optimise their contribution to the global academic ecosystem. Full article

Background/Objectives: Developmental dyslexia is characterised by neuropsychological processing deficits and marked hemispheric functional asymmetries. To uncover latent neurophysiological features linked to reading impairment, we applied dimensionality reduction and clustering techniques to high-density electroencephalographic (EEG) recordings. We further examined the functional relevance of these features to reading performance under standardised test conditions. Methods: EEG data were collected from 200 children (100 with dyslexia and 100 age- and IQ-matched typically developing controls). Principal Component Analysis (PCA) was applied to high-dimensional EEG spectral power datasets to extract latent neurophysiological components. Twelve principal components, collectively accounting for 84.2% of the variance, were retained. K-means clustering was performed on the PCA-derived components to classify participants. Group differences in spectral power were evaluated, and correlations between principal component scores and reading fluency, measured by the TILLS Reading Fluency Subtest, were computed. Results: K-means clustering trained on PCA-derived features achieved a classification accuracy of 89.5% (silhouette coefficient = 0.67). Dyslexic participants exhibited significantly higher right parietal–occipital alpha (P8) power compared to controls (mean = 3.77 ± 0.61 vs. 2.74 ± 0.56; p < 0.001). Within the dyslexic group, PC1 scores were strongly negatively correlated with reading fluency (r = −0.61, p < 0.001), underscoring the functional relevance of EEG-derived components to behavioural reading performance. Conclusions: PCA-derived EEG patterns can distinguish between dyslexic and typically developing children with high accuracy, revealing spectral power differences consistent with atypical hemispheric specialisation. These results suggest that EEG-derived neurophysiological features hold promise for early dyslexia screening. However, before EEG can be firmly established as a reliable molecular biomarker, further multimodal research integrating EEG with immunological, neurochemical, and genetic measures is warranted. Full article

Learning has established itself as a fundamental pillar for the adaptation and continuous growth of organisations. This article analyses the impact of organisational learning on innovation and institutional performance in universities, focusing on five interdependent dimensions: organisational culture, knowledge management, organisational memory, continuous feedback, and dynamic capabilities. Through a narrative review of the specialised literature, a systemic framework is proposed that conceives organisational learning as an integral and strategic process, where each dimension contributes in key ways to institutional strengthening. Organisational culture fosters shared values and readiness for change; knowledge management enables the generation and application of relevant knowledge; organisational memory guarantees the continuity and transfer of learning; constant feedback facilitates adaptation; and dynamic capabilities prepare the university to face complex and changing contexts. As a practical contribution, an operational agenda is designed that links each dimension with a strategic action, a follow-up indicator, a suggested institutional tool, and theoretical references. This proposal seeks to offer an adaptable roadmap for management teams, quality assurance units, and university management training spaces. Full article

This study seeks to develop and evaluate a methodological framework for assessing the tourism potential of hillforts, by using a selected sample of 25 of these heritage resources located in the Lower Silesia Voivodeship. This region, as one of Poland’s most popular among domestic and international tourists, is increasingly confronting overtourism at its primary attractions. Concurrently, it possesses underutilised cultural assets, notably 250 remnants of gords/hillforts (grodziska in Polish) spanning various historical periods and dispersed across the whole area. Thus, to ensure the universality of the method, samples of hillforts from three main topographic zones of Lower Silesia were selected. In addition to the aim of testing the method, a secondary objective of the research involved conducting a preliminary assessment of selected hillforts’ tourism potential in different parts of the voivodeship. The methodology combined desk research and field studies across all selected archaeological sites. Concerning the primary objective, the developed assessment tool effectively replicated the multidimensional analytical framework characteristic of established methodologies, yielding reliable outcomes for evaluating gords’ tourism potential. However, modifications to the scoring system are recommended to enhance methodological precision. Regarding analysis of the 25 surveyed hillforts, the results indicate that objects from all zones mainly demonstrate high tourism potential, suggesting an opportunity for transformation into tourist attractions. The integration of hillforts into existing tourism infrastructure could significantly contribute to localised sustainable development across the region. The primary significance of these heritage resources lies in their capacity to facilitate the diversification of tourism offerings across distinct areas of the voivodeship. This development holds particular strategic value for northern poviats currently peripherally engaged in tourism economy. Moreover, by leveraging hillforts, communities obtain assets important in the process of building a common identity around cultural/historical place while safeguarding monuments. Concurrently, the most attractive southern poviats will benefit from the new attractions as they can help in mitigating overtourism pressures at overcrowded places, being an interesting alternative to the top attractions. This approach aligns with strategies to disperse tourist flows through specialised archaeological tourism products, thereby balancing economic benefits and local communities’ well-being with heritage preservation. Full article

Biomass and other solid wastes create potential environmental and health hazards in our modern society. Conversion of the wastes into energy presents a promising avenue for sustainable energy generation. However, the feasibility of the approach is limited by the challenges in material handling because of the special properties of the materials. Despite their critical importance, the complexities of material handling often evade scrutiny until operational implementation. This paper highlights the challenges inherent in standard solid material-handling processes, preceded by a concise review of common solid waste typologies and their physical properties, particularly those related to biomass and biowastes. It delves into the complexities of material flow, storage, compaction, agglomeration, separation, transport, and hazard management. Specialised characterisation techniques essential for informed process design are also discussed to mitigate operational risks. In conclusion, this paper emphasises the necessity of a tailored framework before the establishment of any further conversion processes. Given the heterogeneous nature of biomaterials, material-handling equipment must demonstrate adaptability to accommodate the substantial variability in material properties in large-scale production. This approach aims to enhance feasibility and efficacy of any energy conversion initiatives by using biomass or other solid wastes, thereby advancing sustainable resource utilisation and environmental stewardship. Full article

Articulated Tugs and Barges (ATBs) are increasingly recognised for their effectiveness in transporting chemicals, petroleum, bulk goods, and containers, primarily due to their exceptional flexibility and fuel efficiency. Recent projections indicate that the ATB market is on track for significant growth, which is expected to lead to an increase in the annual growth rate from 2025 to 2032. This study aims to analyse the current advancements in ATB technology and provide insights into the ATB fleet and the systems that connect tugboats and barges. Furthermore, it highlights the advantages of this transportation system, especially regarding its role in enhancing energy efficiency within the maritime transport sector. Currently, there is limited information available in the public domain about ATBs compared to other commercial vessels. The analysis reveals that much of the required information for modern ATB design is not accessible outside specialised design companies. The study also focuses on conceptual design aspects, which include the main dimensions, articulated connections, propulsion systems, and machinery, concluding with an evaluation of economic viability. Special emphasis is placed on defining the main dimensions, which is a critical part of the complex design process. In this context, the ratios of length to beam (L/B), beam to draft (B/D), beam to depth (B/T), draft to depth (T/D), and power to the number of tugs cubed (Pw/N³) are established as design control parameters in the conceptual design phase. This aspect underscores the novelty of the present study. Additionally, the economic viability is analysed in terms of both CAPEX (capital expenditures) and OPEX (operational expenditures). While CAPEX does not significantly differ between the methods used in different types of commercial ships, OPEX should account for the unique characteristics of ATB vessels. Full article

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

Alzheimer’s disease (AD) is one of the main causes of dementia, with an exponential increment in its incidence as years go by. However, since pathophysiological mechanisms are complex and multifactorial, therapeutic strategies remain inconclusive and only provide symptomatic relief to patients. In order to solve this problem, new strategies have been investigated over recent years for AD treatment. This field has been reborn due to epidemiological and preclinical findings that demonstrate the fact that omega-3 polyunsaturated fatty acids (ω-3 PUFAs) can be promising therapeutic agents because of their anti-inflammatory, antioxidant, and neurogenic-promoting activities, thus allowing us to classify these molecules as neuroprotectors. Similarly, ω-3 PUFAs perform important actions in the formation of characteristic AD lesions, amyloid-β plaques (Aβ) and neurofibrillary tangles, reducing the development of these structures. Altogether, the aforementioned actions hinder cognitive decline and possibly reduce AD development. In addition, ω-3 PUFAs modulate the inflammatory response by inhibiting the production of pro-inflammatory molecules and promoting the synthesis of specialised pro-resolving mediators. Consequently, the present review assesses the mechanisms by which ω-3 PUFAs can act as therapeutic molecules and the effectiveness of their use in patients. Clinical evidence so far has shown promising results on ω-3 PUFA effects, both in animal and epidemiological studies, but remains contradictory in clinical trials. More research on these molecules and their neuroprotective effects in AD is needed, as well as the establishment of future guidelines to obtain more reproducible results on this matter. Full article

The rapid rise of AI-driven cybercrime and deepfake fraud poses complex organisational challenges for US law enforcement, particularly the Federal Bureau of Investigation (FBI). Applying Maguire’s (2003) police organisation theory, this qualitative single-case study analyses the FBI’s structure, culture, technological integration, and inter-agency collaboration. Findings underscore the organisational strengths of the FBI, including a specialised Cyber Division, advanced detection tools, and partnerships with agencies such as the Cybersecurity and Infrastructure Security Agency (CISA). However, constraints, such as resource limitations, detection inaccuracies, inter-agency rivalries, and ethical concerns, including privacy risks associated with AI surveillance, hinder operational effectiveness. Fragmented global legal frameworks, diverse national capacities, and inconsistent detection of advanced deepfakes further complicate responses to this issue. This study proposes the establishment of agile task forces, public–private partnerships, international cooperation protocols, and ethical AI frameworks to counter evolving threats, offering scalable policy and technological solutions for global law enforcement. Full article

Social work with families has developed in response to the needs of people in the community but has moved away from them over the years of specialisation. The neoliberalisation of social work, with its emphasis on efficiency and procedure, has eclipsed the processes of collaboration with people, which are a prerequisite for hearing their voices and establishing a partnership in which we can co-create desired outcomes. In Slovenia, over the last 10 years, we have been looking for ways to bring social work with families in complex problem situations back into the community and to prioritise the processes of co-creating the desired outcomes in national and international projects. The most important milestones of the development, identified by the thematic analysis of the project documentation (58 documents) of seven projects, are presented here. Several themes were interwoven in the development and implementation of change: knowledge development; relevance of the institutional context; (micro-)innovation in social care; development of projects with practitioners and family representatives; broader social context centred on family support. Ten years of development in the field confirms that complex questions require complex answers, which must be (co-)created in collaboration between families, practitioners, policymakers and researchers. Full article

The article addresses the problem of optimising a selected production process in a company from the refractory products industry. As part of the research, individual activities were divided, identifying key wastes occurring in the production process. In addition, the 5S (the 5S methodology—Sort, Set in Order, Shine, Standardise, and Sustain) quality system was modified, its efficiency was increased, and a better work organisation was established based on it. Data from the actual production process were analysed based on total work efficiency using the OEE (Overall Equipment Effectiveness) coefficient. The use of machine working time was indicated, and key parameters were determined, i.e., availability, efficiency, and quality of the implemented production processes. The results obtained in the course of the research were compared to the Word Class OEE standards. The goal of the work is to indicate possibilities and recommendations for increasing production efficiency without increasing costs, thanks to actions reducing the number of production defects and optimal distribution of employees on the production line. The presented analyses can help assess the management processes of other manufacturing companies operating in this highly specialised manufacturing sector. At the same time, the research conclusions enable other entities to evaluate the implementation of the proposed solutions in practice without incurring unnecessary financial outlays on improving production processes. Full article

This study reviews various data quality frameworks that have some form of regulatory backing. The aim is to identify how these frameworks define, measure, and apply data quality dimensions. This review identified generalisable frameworks, such as TDQM, ISO 8000, and ISO 25012, and specialised frameworks, such as IMF’s DQAF, BCBS 239, WHO’s DQA, and ALCOA+. A standardised data quality model was employed to map the dimensions of the data from each framework to a common vocabulary. This mapping enabled a gap analysis that highlights the presence or absence of specific data quality dimensions across the examined frameworks. The analysis revealed that core data quality dimensions such as “accuracy”, “completeness”, “consistency”, and “timeliness” are equally and well represented across all frameworks. In contrast, dimensions such as “semantics” and “quantity” were found to be overlooked by most frameworks, despite their growing impact for data practitioners as tools such as knowledge graphs become more common. Frameworks tailored to specific domains were also found to include fewer overall data quality dimensions but contained dimensions that were absent from more general frameworks, highlighting the need for a standardised approach that incorporates both established and emerging data quality dimensions. This work condenses information on commonly used and regulation-backed data quality frameworks, allowing practitioners to develop tools and applications to apply these frameworks that are compliant with standards and regulations. The bibliometric analysis from this review emphasises the importance of adopting a comprehensive quality framework to enhance governance, ensure regulatory compliance, and improve decision-making processes in data-rich environments. Full article

Macrophages are specialised cells that degrade a range of substrates during their lifetime. In inherited lysosomal storage disorders, particularly the sphingolipidoses, macrophages transform into storage cells and contribute to pathology. An appropriate cultured macrophage model is desired for fundamental research and the assessment of considered therapeutic interventions. We compared commonly used macrophage cell lines, RAW264.7, J774A.1, and THP-1 cells, with human monocyte-derived macrophages (HMDMs) isolated from peripheral blood. Specific lysosomal glucosidases were analysed by enzymatic activity measurements and visualised with fluorescent activity-based probes. Special attention was given to lysosomal glucocerebrosidase (GBA1), the enzyme deficient in Gaucher disease in which lipid-laden macrophages are a hallmark. In macrophage cell lines and HMDMs, various (glyco)sphingolipids relevant to GBA1 activity were determined. Finally, the feasibility of inactivation of GBA1 with a cell-permeable suicide inhibitor was established, as well as the monitoring of uptake of therapeutic recombinant human GBA1. Major differences among various cell lines were noted in terms of morphology, lysosomal enzyme expression, and glycosphingolipid content. HMDMs appear to be the most suitable model for investigations into GBA1 and Gaucher disease. Moreover, they serve as a valuable model for mannose-receptor mediated uptake of therapeutic human GBA1, effectively mimicking enzyme replacement therapy for Gaucher disease. Full article

Few studies have investigated the possibility of offering outreach from hospital-based memory clinic services to primary care. Such models could potentially improve access to specialised mental healthcare. We report on the reliability and validity of a pilot cognitive screening pathway in general practice (GP) in Ireland. Consecutive patients with memory complaints attending two primary care clinics were screened and diagnosed clinically by a physician-run memory clinic in GP. Follow-up in secondary care confirmed the diagnosis. Inter-rater reliability (IRR) and diagnostic validity of the Quick Mild Cognitive Impairment (Qmci) screen was compared to the Montreal Cognitive Assessment (MoCA) and General Practitioner Assessment of Cognition (GPCOG). In all, 63 patients, 31 with subjective memory complaints (SMC), 16 with mild cognitive impairment and 16 with dementia were screened. Their median age was 73 and 67% were female. The IRR of the Qmci screen between GP and clinic was excellent (r = 0.89). The Qmci was more accurate than the GPCOG in identifying cognitive impairment; the area under the curve (AUC) was 0.95 versus 0.80 (p = 0.008). The Qmci and MoCA had similar accuracy, with an AUC of 0.95 versus 0.91 (p = 0.117), respectively, but was significantly shorter (p < 0.001), suggesting it may be a useful instrument in this setting. Based on these results, a definitive study is now planned to examine the benefits and challenges of utilizing these instruments as part of establishing an outreach memory clinic service in primary care. Full article