Open research Europe最新文献

{"title":"Immunomodulatory effect of <i>Moringa oleifera</i> and <i>Phyllanthus niruri</i> extracts on anti-HBV cytokine production by human peripheral blood mononuclear cells.","authors":"Bright Asare, Philip Selorm Segbefia, Rawdat Awuku-Larbi, Diana Asema Asandem, Theophilus Brenko, Lutterodt Bentum-Ennin, Frank Osei, Doreen Teye-Adjei, Georgina Agyekum, Linda Akuffo, Bethel Kwansa-Bentum, Kwadwo Asamoah Kusi","doi":"10.12688/openreseurope.20378.3","DOIUrl":"10.12688/openreseurope.20378.3","url":null,"abstract":"<p><strong>Background: </strong>Chronic hepatitis B (HBV) infection is a leading cause of cirrhosis and liver cancer globally. The current approved drugs for chronic HBV management include pegylated interferons and nucleoside analogs but these have limited efficacies and some adverse side effects. There is an urgent need to find safer and more effective antivirals for chronic HBV management. This study aimed to evaluate the <i>in vitro</i> immunostimulatory properties of the aqueous and ethanolic leaf extracts of the plants <i>Moringa oleifera</i> and <i>Phyllanthus niruri</i> on human peripheral blood mononuclear cells (PBMCs) from chronic HBV-infected persons yet to commence therapy and HBV-negative persons.</p><p><strong>Methods: </strong>Plant extracts were freeze-dried and stock solutions prepared for phytochemical analysis. Extracts were used to stimulate cultured PBMCs from HBV-infected and HBV-negative persons and the levels of selected cytokines in culture supernatants measured by a multiplexed Luminex assay. The MTT assay was used to assess extract cytotoxicity.</p><p><strong>Results: </strong>Aqueous and ethanol extracts of both plants were not cytotoxic but rather increased cell metabolic activity. The extracts induced the release of IL-6, IL-1β, IFN-γ, IL-10, TNF-α and IFN-α in PBMCs from both healthy individuals and chronic HBV patients, but cytokine levels were in most instances significantly higher in PBMCs from healthy individuals compared to HBV infected persons and may be related to the reduced immune responsiveness associated with chronic HBV infection. The reduced responsiveness of immune cells from chronic HBV-infected persons to stimulation may explain viral persistence and development of the chronic state. Overall, leaf extracts from both plants were safe and stimulated the release of HBV replication-limiting cytokines and may be important for chronic HBV management.</p><p><strong>Conclusions: </strong>These findings lay the foundation for the potential integration of these extracts into HBV management strategies and provide promising data for future therapeutic development aimed at improving immune responses in chronic HBV patients.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"149"},"PeriodicalIF":0.0,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12596560/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145490934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Ditch and the House. Construction Energetics in Early 7th-century BC Megara Hyblaia: A Preliminary Study.","authors":"Frédéric Mège, Eleonora Delpozzo","doi":"10.12688/openreseurope.20518.2","DOIUrl":"10.12688/openreseurope.20518.2","url":null,"abstract":"<p><p><b>Background:</b> Megara Hyblaia, a Greek colony founded in the third quarter of the 8th century BC on Sicily's eastern coast, exemplifies early Western Greek urbanism. By the early 7th century BC, Megara had likely reached its maximum intramural size of approximately 60 hectares. This study focuses on that formative phase to evaluate whether the community possessed the resources to undertake two key construction projects: the first city fortification and residential expansion. <b>Methods:</b> Archaeological evidence shows that residential structures spread across the Southern Plateau and toward the Archaic West Gate by the early 7th century BC. This urban spread correlates with the construction of the city's earliest defensive structure, an \"agger-wall\". The article investigates the feasibility of these projects using two case studies: the agger-wall and the house on plot 113W4. Using data from stratigraphic excavation, 3D modelling, Building Information Modelling (BIM), and architectural energetics, the study estimates construction time and labour requirements. <b>Results</b> The aforementioned methods allowed us to estimate the construction of the agger-wall defence line at 11478 p-d (person-day) and the building of the house on plot 113W4 at 187-196 p-d. These figures then need to be put into perspective with an estimated population of 404-538 individuals in the first quarter of the 7th century BC, of whom roughly half are considered fit for construction work and available for it for five to six months per year. <b>Conclusions:</b> In evaluating the feasibility of early construction projects at Megara Hyblaia, findings suggest that the second-generation population could have built both the fortifications and sufficient housing within a year, without disrupting agriculture or essential tasks. Thus, 7th-century BC inhabitants likely had sufficient workforce for fortifications and housing. This study also highlights the promise and limitations of BIM tools in reconstructing ancient architecture and informing future digital heritage research.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"184"},"PeriodicalIF":0.0,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12754354/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145890695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and comparative analysis of machine learning algorithms for predictive atmospheric corrosion modeling.","authors":"Jose Manuel Perales Fernández, María López Abelairas, Arturo Sánchez-Ramos, Lila Otero-Gonzalez","doi":"10.12688/openreseurope.19770.2","DOIUrl":"10.12688/openreseurope.19770.2","url":null,"abstract":"<p><strong>Background: </strong>Industrial content and infrastructure are in constant danger from atmospheric corrosion, which affects economies globally. However, there is a lack of a consistent set of comprehensive data that completely surrounds the range of this problem in diverse climate and locations. The purpose of the research is to evaluate the factors that contribute to atmospheric corrosion and its diverse effects on materials in various environments.</p><p><strong>Methods: </strong>By creating a comprehensive dataset by collecting and standardizing corrosion data from diverse environments and geographic regions and initially analyzing the data, it helped indicate the main parameters affecting corrosion. This guided the selection of future features for further modeling. Several machine learning algorithms were tested, such as linear regression, decisions tree, neural network, and, most especially, promising methods, for their corrosion rate prediction capabilities. These models were assessed based on their prediction's accuracy, and computational efficiency, with special attention to refining their performance through detailed feature engineering and hyperparameter adjustment.</p><p><strong>Results: </strong>Upon evaluating the performance of conventional predictive models, the research indicated that the machine learning approaches, especially with random forests methods of dress, were excellent in predicting corrosion rates, significantly improved upon these capabilities. By analyzing various machine learning approaches, it became clear that it was important to enhance their accuracy by selecting the best features and customizing them.</p><p><strong>Conclusions: </strong>This work represents a significant advancement in the predictive modeling of atmospheric corrosion. It highlights the invaluable role of machine learning in this field. By integrating varied data sets and applying sophisticated machine learning techniques, it has established a foundation for ongoing research and the practical application of corrosion management strategies. The exceptional performance of ensemble methods, like random forests, signals their potential to improve prediction capabilities and guide more effective corrosion prevention measures.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"84"},"PeriodicalIF":0.0,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12869018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digitalisation of the public sector in Thailand - Insights into Thailand's public sector digitalisation strategy.","authors":"Anetta Caplanova, Estera Szakadatova","doi":"10.12688/openreseurope.19868.2","DOIUrl":"10.12688/openreseurope.19868.2","url":null,"abstract":"<p><strong>Background: </strong>As Southeast Asia embraces digital technology, governments use it to make public services more efficient and accessible. This study explores Thailand's digitalization efforts, focusing on how government agencies implement e-government services to improve services and reduce costs.</p><p><strong>Methods: </strong>Using survey data from 288 representatives across central and regional government institutions, the research identifies key focus areas of Thailand's digital strategy and evaluates its effectiveness through factor and descriptive analysis.</p><p><strong>Results: </strong>The results show that digital tools are widely used in such sectors as defence, environmental protection, healthcare, and education. The results show that in Thailand, the digital tools contribute to enhancing service delivery, reduce administrative burden, and improve transparency. However, the results show that the financial benefits are frequently underassessed during project planning and evaluation. Only a small number of agencies report to systematically measure the financial returns of ICT projects, despite their long-term potential to strengthen public finances. Challenges to effective digital transformation include uneven digital literacy, low service maturity and limited data integration across agencies. Moreover, concerns about data security and access disparities between urban and rural populations pose further challenges.</p><p><strong>Discussion/conclusions: </strong>Thailand's case demonstrates that digitalization can drive both efficiency and inclusivity, but its success depends on coordinated implementation, robust evaluation and targeted efforts to improve digital skills among citizens and public sector employees.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"209"},"PeriodicalIF":0.0,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12739367/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145851715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Living archival practice and the choreographical navigations: Encounters and approaches with other-than-human persons.","authors":"Shuntaro Yoshida, Alex Viteri Arturo, Catalina Fernandez, Maharu Maeno, Jun Yamaguchi","doi":"10.12688/openreseurope.17447.2","DOIUrl":"10.12688/openreseurope.17447.2","url":null,"abstract":"<p><p>This article delves into the collaborative work of the interspecies dance collective, Mapped to the Closest Address (MaCA), focusing on MaCA's living archival practice and exploration of choreography with other-than-human persons. Through encounters with various species and environments, MaCA seeks to shift anthropocentric perspectives, interrogate its orientation towards modernity and coloniality, and question its understanding/administration/entanglement/devotion of, with, and to nature. The collective's journey, from a digital residency during the COVID-19 pandemic to site research, installations, and performance at the Echigo-Tsumari Art Triennale 2022, is documented and analyzed. The collective's collaborative process involves relinquishing control to allow for the emergence of disobedient movements and the exploration of choreography from the perspective of other-than-human perspectives. This practice includes encounters with kudzu vines and mountains, weaving their movements and patterns into performances and installations. The authors discusses the immersive performance <i>Turn Off the House Lights</i>, in which MaCA integrates stories from local communities with gestures inspired by the landscape. Through the collective's living archival practice, MaCA aims to transmit a collective memory of intra-actions among organisms and environments. and highlight the intra-connectedness of humans and the other creatures of the Earth. The article reflects on the significance of choreography beyond human-centric notions, emphasizing the emergent forms of ecological performance and the dissolution of boundaries between human and non-human realms. Drawing on interdisciplinary perspectives including dance, visual art, and theatre, MaCA's work exemplifies an intra-disciplinary approach to expressing the choreography of other-than-human persons. This approach not only presents audiences with immersive experiences but also responds to the future ecosystem through artistic exploration. Ultimately, MaCA's living archival practices contribute to awareness of the collective lives of other-than-human persons and offer insights into navigating the collective's enmeshment with the natural world.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"4 ","pages":"171"},"PeriodicalIF":0.0,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11579586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142689894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping immersive digital tools in the ICT4Water Cluster: innovation, interoperability and impact.","authors":"Ilias Karachalios, Nikolaos Tantaroudas, Christos Makropoulos","doi":"10.12688/openreseurope.21096.2","DOIUrl":"10.12688/openreseurope.21096.2","url":null,"abstract":"<p><strong>Background: </strong>Immersive technologies-virtual, augmented, and mixed reality (XR)-are being piloted in the water sector for public engagement, training, and decision support. Within the European Commission's ICT4Water Cluster, multiple projects report XR tools, but comparable evidence on functionality, interoperability, and scalability is limited.</p><p><strong>Methods: </strong>We conducted a two-stage survey across ICT4Water projects (preliminary project-level screening: September-December 2023; tool-level assessment: April-May 2024). Responses were triangulated with public project materials. Seven distinct immersive solutions were analysed using a four-dimension rubric covering functionality, interoperability, scalability, and perceived impact.</p><p><strong>Results: </strong>The portfolio spans VR, AR, MR, decision-support dashboards, and public-facing installations. Reported deployment options include PCs (4/7; 57%) and smartphones (4/7; 57%), with online-only operation in 3/7 (43%) tools and offline capability in 2/7 (29%). Interoperability is uneven: 3/7 (43%) expose data integration or APIs, while 4/7 (57%) lack external interfaces. Evidence of scalability beyond single-site pilots is reported for 4/7 (57%) tools; 3/7 (43%) remain at pilot/proof-of-concept stage.</p><p><strong>Conclusions: </strong>XR can enhance awareness, learning, and operational insight, yet broader uptake depends on open interfaces, shared semantics, and post-project maintainability. We recommend designing against open standards and Smart Data Models, adopting modular packaging and open repositories to support post-project sustainment, and embedding XR within utility workflows and digital-twin initiatives to enable responsible scale-up.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"329"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12699209/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145758653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Embedded real-time analysis of continuous casting for machine-supported quality optimisation.","authors":"Kersten Marx, Yalçın Kaymak, Zeinab Kargar, Robin Jentner, Nico Neuber","doi":"10.12688/openreseurope.20547.2","DOIUrl":"https://doi.org/10.12688/openreseurope.20547.2","url":null,"abstract":"<p><strong>Background: </strong>Manual process control of the continuous casting (CC) process is difficult due to the big number of influencing factors. During continuous casting, manual top-freezing controls must be carried out. Every manual performed mould control can affect the strand quality and even increase the risk of failure. Therefore, regular top-freezing controls are performed after a certain casting duration. However, top-freezing events between the regular controls cannot be detected and are a major risk for plant safety.</p><p><strong>Methods: </strong>In the RFCS (Research Fund for Coal and Steel) project RealTimeCastSupport, the aim of the research was the digitalisation and optimised control of continuous casting machines. A real-time support system was developed to predict quality-relevant top-freezing events and thus achieve improved control. This was reached by offline material tracking, synchronisation of data streams and statistical analysis by application of Big Data technologies, the development of a digital twin and the exploitation of various CC data and surface inspection to predict reliability of steel production. Results The following results were achieved: Identification of defect promoting scenarios by correlation of statistical results and surface defect detection.Realisation of an offline 3D digital twin of the mould with two different casting sizes, different geometries, and a varying immersion depth of the submerged entry nozzle (SEN), considering heat transfer, inert gas feeding, and solidification for parameter studies to identify the most influential factors in top-freezing as a defect promoting scenario. Input variables from the continuous casters were evaluated by CFD simulations and afterwards used to develop and train an online support system which was connected to the existing database in the plant. The system will be finetuned offline to internal specifications. This will further allow an optimized system with increased recall and precision parameter.</p><p><strong>Conclusions: </strong>The application of a real-time support system enables the prediction of top-freezing events during the whole casting process. Subsequently, this significantly increases the plant safety and offers to carry out top-freezing inspections in a more targeted manner in the future. This publication is part of a series of papers in the frame of the dissemination project METACAST.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"233"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12848349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146088291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two pilot case studies for indirect bridge scour monitoring using low-cost remote sensing for river flow characterisations.","authors":"Eleonora Perugini, Enrico Tubaldi","doi":"10.12688/openreseurope.19083.2","DOIUrl":"10.12688/openreseurope.19083.2","url":null,"abstract":"<p><p>Bridge scour is a leading cause of bridge failures worldwide, exacerbated by climate change and increasing flood risks. Real-time data collection plays a critical role in effective flood risk management and decision-making, ultimately enhancing infrastructure resilience. The EU-funded RAMOBRIS (Risk Assessment and Monitoring for Bridges under Scour Hazard) project investigated cost-effective monitoring approaches to develop a novel, multidisciplinary strategy for assessing the risk of critical bridges exposed to scour. This manuscript outlines the monitoring strategy developed during the project, with a focus on the application of cost-effective sensors for hydraulic monitoring. The adopted methodology employs an indirect approach using low-cost remote sensing sensors to assess hydraulic properties and estimate scour depth through advanced formulas. Two pilot case studies were conducted on high-risk masonry bridges over the River Nith in Scotland. Various sensors were installed to evaluate their effectiveness in capturing hydraulic data and monitoring scour dynamics. Data from low-cost sensors were evaluated against data collected from higher-cost sensors or other available datasets. The results showed that low-cost sensors for measuring water levels provided accuracy comparable to high-cost radar systems, while being more cost-effective and easier to install. Video data from solar cameras enabled extensive measurements of surface velocity and discharge, improving the understanding of flow dynamics. The study confirmed the feasibility of using image velocimetry techniques for long-term estimation of river velocity and discharge, although further validation is required. These findings highlight the potential of low-cost and innovative sensor technologies. The open-access dataset generated in this study, which will be periodically updated with new data, provides a valuable resource of real-world information for ongoing research in hydraulic monitoring and bridge safety assessment.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"4 ","pages":"274"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12744198/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145859586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use it or lose it: A model-based assessment of the hypothesis that European Neanderthals relied on wildfires to create their campfires.","authors":"Andreu Arinyo I Prats, Dennis Sandgathe, Felix Riede, Mark Collard","doi":"10.12688/openreseurope.20477.2","DOIUrl":"10.12688/openreseurope.20477.2","url":null,"abstract":"<p><strong>Background: </strong>There remains debate about the pyrotechnical capabilities of Neanderthals. Evidence of fire has been found at many Middle Palaeolithic sites, widely accepted to be associated with Neanderthals. However, multiple Neanderthal sites show a marked decrease in evidence for fire use during colder periods. This counterintuitive pattern was explained by the possibility that some Neanderthal groups were unable to create fire at will and relied on wildfire. Here, we evaluate the plausibility of this \"wildfire hypothesis\" through formal modeling.</p><p><strong>Methods: </strong>We computed the probability of a group of Neanderthals losing campfire-making skills due to cultural loss. The EMBERS model codes four empirically motivated mechanisms of skill loss: variability in use, period in between uses, memory decay and number of experts.</p><p><strong>Results: </strong>Our results indicate that losing the ability to use wildfire was more likely than retaining it for most of our parameter values within reasonable ranges. Significantly, demography, in the form of expert numbers, was the least significant mechanism of loss. The rate of memory loss at group level, and intervals between uses were markedly more important than demography. Variability in time between uses was by far the strongest driver of loss. These results, linked with the estimated climatic, mnemonic, and demographic conditions for the Neanderthals' occupation of Europe in cold periods, support the plausibility of the wildfire hypothesis. Our results also highlight the need to pay more attention to cultural loss as a factor in cultural evolution.</p><p><strong>Teaser: </strong>Our modeling demonstrates the feasibility of the controversial hypothesis that some European Neanderthal groups were unable to create fire at will and instead relied on wildfire to start their campfires.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"205"},"PeriodicalIF":0.0,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12775662/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145936718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Services for Connected, Cooperated, and Automated Mobility based on Big Data and Artificial Intelligence: The SHOW project paradigm.","authors":"Georgios Spanos, Alexandros Siomos, Carolin Schmidt, Mathias Tygesen, Josep Maria Salanova, Filipe Rodrigues, Alexandros Papadopoulos, Evangelos Antypas, Athanasios Sersemis, Maria Gkemou, Antonios Lalas, Konstantinos Votis, Georgia Ayfantopoulou, Evangelos Bekiaris, Dimitrios Tzovaras","doi":"10.12688/openreseurope.18878.2","DOIUrl":"10.12688/openreseurope.18878.2","url":null,"abstract":"<p><p>Cooperative, Connected, and Automated Mobility (CCAM) constitutes a viable solution toward sustainable future mobility in order to achieve the target of decarbonization. Artificial Intelligence (AI) and Big Data (BD) have altered several industrial sectors providing novel and affordable solutions that facilitate and improve existing operations in these sectors. Hence, the combination of the CCAM paradigm with AI methodologies based on BD could ever increase the potential benefits of CCAM in the contemporary society. For this reason, three CCAM services, which are based on AI and BD, are introduced in the current research work in order to tackle three well-known issues of mobility such as i) the estimated time of arrival, ii) the passenger demand prediction and iii) the mobility patterns identification. The proposed CCAM services were tested on various pilot sites of the EU-funded SHOW project, thus demonstrating the potential of BD and AI in future mobility services.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"5 ","pages":"24"},"PeriodicalIF":0.0,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12744199/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145859606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}