Article
Chemistry, Multidisciplinary
Irini Furxhi, Athanasios Arvanitis, Finbarr Murphy, Anna Costa, Magda Blosi
Summary: This paper describes the pragmatic approach of initiating, designing and implementing the Data Management Plan (DMP) and the data FAIRification process in the multidisciplinary Horizon 2020 nanotechnology project, ASINA. It emphasizes the need to conceptualize and visualize the initial steps towards data FAIRification in a systematic way, and demonstrates the use of a generic questionnaire to capture primary data and metadata description from consortium members. The paper also showcases the interactive process with external FAIR data initiatives for guidance on data and metadata capturing and future integration into repositories.
Article
Chemistry, Multidisciplinary
Irini Furxhi, Antti Joonas Koivisto, Finbarr Murphy, Sara Trabucco, Benedetta Del Secco, Athanasios Arvanitis
Summary: This paper demonstrates a pragmatic approach to developing a template for capturing field monitoring data in nanomanufacturing processes, in accordance with FAIR principles. The template creation workflow involves identifying stakeholders, distributing questionnaires, understanding needs, communicating with stakeholders, designing the template, and annotating descriptors.
Article
Physics, Fluids & Plasmas
P. Forgacs, A. Libal, C. Reichhardt, C. J. O. Reichhardt
Summary: We studied the dynamics of a mixture of active and passive run-and-tumble discs in an inhomogeneous environment with varying motor force and pinning density, identifying several distinct phases. At high pinning densities and motor forces, a two-step process with rapid accumulation of discs followed by species phase separation occurs. For lower motor forces, the dynamics become slow with a strong density gradient maintained, while for weaker pinning and large motor forces, a floating clustered state appears with uniform time-averaged density.
Article
Psychology, Multidisciplinary
Fleur Goedkoop, Daniel Sloot, Lise Jans, Jacob Dijkstra, Andreas Flache, Linda Steg
Summary: This study found that community factors, such as community identification and interpersonal contact with other community members, uniquely influence people's involvement in community energy initiatives, while personal sustainable energy motivations and perceptions of the community's sustainable energy motivation did not have a unique relationship with initiative involvement.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Irini Furxhi, Alessio Varesano, Hesham Salman, Mahsa Mirzaei, Vittoria Battistello, Ivonne Tonani Tomasoni, Magda Blosi
Summary: This paper demonstrates the construction of a template for capturing antimicrobial capacity data of nanomaterials or nanoenabled products, promoting data findability, accessibility, interoperability, and reusability. By following a roadmap and utilizing the template, scientists can standardize reporting data, improving data quality and usability.
Article
Mathematical & Computational Biology
Ryoto Himo, Masaki Ogura, Naoki Wakamiya
Summary: In this paper, a sheepdog algorithm for guiding unresponsive sheep is proposed, and numerical simulations demonstrate its superiority over the farthest-agent targeting algorithm.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Adam J. Hepworth, Daniel P. Baxter, Hussein A. Abbass
Summary: The study presents an ontology specifically designed for human-agent teaming to enhance effective communication and shared understanding between team members. It emphasizes on formal representation of concepts to support transparent bi-directional communication.
Article
Environmental Studies
Kimo van den van den Berg, Barbara Tempels
Summary: This research aims to understand the role of community benefits in community acceptance of multifunctional solar farm developments through case studies in the Netherlands. The results show that a key factor determining if community benefits contribute to community acceptance is whether these benefits meet the experienced needs of a community.
Review
Entomology
Mary M. Gardiner, Helen E. Roy
Summary: Community science, with the involvement of volunteers, has made significant contributions to entomology over the centuries. The future of community science in entomology looks promising with new approaches and increased inclusivity, benefiting both humans and nature globally.
ANNUAL REVIEW OF ENTOMOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Carlos C. Duarte, Nuno D. Corticos, Anna Stefanska, Aneta Stefanska
Summary: The lockdowns during the COVID-19 pandemic have highlighted the significance of home balconies and their design features. A study conducted in Lisbon and Warsaw found that cultural, social, climate, and geographic differences were irrelevant during the pandemic, as both locations showed similar outcomes regarding balcony preferences. Activities like dining, gathering, and leisure activities have shifted to balconies. The study suggests the need to update balcony design features to accommodate these newly rediscovered activities and improve users' health and quality of life.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Chris D. Hasselerharm, Esty Yanco, Jeannine S. McManus, Bool H. Smuts, Daniel Ramp
Summary: By using remote tracking methods to detect vegetation and environmental changes on rangeland farms in South Africa, it was found that wildlife-friendly farming practices had higher vegetation productivity, stronger response to rainfall, and greater vegetation cover and grass cover compared to rotational grazing practices. This study highlights the potential benefits of adopting wildlife-friendly farming practices in rangeland ecosystems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Engineering, Environmental
Irene Barba-Nieto, Gerardo Colon, Marcos Fernandez-Garcia, Anna Kubacka
Summary: Optimization of Pt-promoted TiO2-based is crucial for enhancing photocatalytic production of hydrogen. Doping and surface decoration are exploited to maximize hydrogen yield. The composite system shows activity boost up to 7.3 times within the whole methanol:water mixture ratio, with quantum efficiencies in the range of approximately 13-16%. In-situ spectroscopic study examines the role of different components in generating charge carrier species and controlling reaction kinetics, revealing the complex reaction mechanism and physical origin of H2 production enhancement in doped-composite titania-based catalysts.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Construction & Building Technology
Gisela Lameira, Rui Jorge Garcia Ramos, Nuno Valentim, Azar Mohammadpanah
Summary: This paper emphasizes the importance of a comprehensive approach to the contemporary challenges of ageing, urban regeneration, energy efficiency, thermal performance, and well-being, with architectural quality as the main focus. Through the study of four residential structures for older adults under construction in Portugal, a set of intervention principles, including sustainable use of raw materials, site conditions, vegetation, construction options and durability, solar exposure and shading, building use pedagogy, and comfort and thermal perception, were proposed. The analysis reveals that dynamic models incorporating context and site conditions, the culture of use and maintenance, and adaptive comfort are critical factors in improving thermal performance and energy efficiency. Furthermore, each building is a unique result of a complex negotiation process. Bridging research and practice, as well as multidisciplinary scientific integration, allows for engagement with reality and raises awareness of the constraints and challenges to innovation in LTC design.
Review
Environmental Sciences
P. A. Lindsey, S. H. Anderson, A. Dickman, P. Gandiwa, S. Harper, A. B. Morakinyo, N. Nyambe, M. O'Brien-Onyeka, C. Packer, A. H. Parker, A. S. Robson, Alice Ruhweza, E. A. Sogbohossou, K. W. Steiner, P. N. Tumenta
Summary: Sub-Saharan Africa's iconic biodiversity is under threat from increasing anthropogenic pressures and climate change, but prospects for nature conservation may improve in the long term. Critical steps are needed to guide the region's biodiversity into the Green Anthropocene epoch.
ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES
(2022)
Article
Multidisciplinary Sciences
Kate J. Yaxley, Keith F. Joiner, Hussein Abbass
Summary: The use of drones for shepherding can lead to positive responses from sheep and help maintain safe distances between the drone and the animals through stimulating auditory awareness. This technology has the potential to improve efficiency in the agricultural industry and enhance animal welfare.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Software Engineering
Damian A. A. Tamburri, Rick Kazman, Hamed Fahimi
Summary: Forming coherent groups or teams in an organization is vital in large-scale software engineering, particularly in agile software development where self-organization and organizational flexibility are crucial. Through mixed-methods research involving interviews, surveys, and Delphi studies of real agile teams, we investigated the existence of recurrent organizational structure patterns in agile software teams and their implications on software architecture quality. Our study of 30 agile software teams revealed that out of seven recurring organizational structure patterns, a single pattern occurred over 37% of the time. This pattern reflected young communities, disappeared in established ones, and correlated with a higher number of reported architecture smells. Additionally, we found a negative correlation between a proposed organizational measure and architecture smells. These findings can help architects design both architectures and communities that best support co-evolution, while also highlighting the impact of organizational structures in software engineering beyond software architectures.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2023)
Article
Computer Science, Information Systems
Indika Kumara, Mohamed Hameez Ariz, Mohan Baruwal Chhetri, Majid Mohammadi, Willem-Jan Van Den Heuvel, Damian A. Tamburri
Summary: The increasing heterogeneity of VM offerings on public IaaS clouds leads to a large number of deployment options for cloud applications. However, selecting the appropriate deployment variant for required performance is difficult due to the combinatorial explosion in the deployment space. To address this, we propose FOCloud, an approach that uses feature modeling, sampling, machine learning, and Explainable AI techniques to guide the deployment configuration and predict performance.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Software Engineering
Daniel De Pascale, Giuseppe Cascavilla, Mirella Sangiovanni, Damian A. Tamburri, Willem-Jan van den Heuvel
Summary: Internet of Things (IoT) technologies are widely used in urban spaces, and the fear of terrorism and crime has led to an increased demand for security. Video-based IoT surveillance systems have become an important area of research. This study conducted a field test at a music festival in the Netherlands to determine the best device configuration for optimal performance and results. The study tested multiple devices, including drones, CCTV, smartphones, and smart glasses, to detect potential malicious activities and the results provide insights for selecting the optimal IoT architecture to create safer cyber-physical spaces.
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
(2023)
Editorial Material
Computer Science, Software Engineering
Giovanni Quattrocchi, Damian A. Tamburri
Summary: This special issue demonstrates the maturity of infrastructure code and its plethora of off-the-shelf approaches to continuous software engineering, as seen through a scientific lens.
Article
Computer Science, Software Engineering
Stefano Dalla Palma, Chiel van Asseldonk, Gemma Catolino, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri
Summary: Infrastructure-as-code (IaC) is crucial for providing and managing infrastructures through configuration files, but these files may suffer from code smells that impact quality and maintenance. This paper investigates the application of a traditional implementation code smell, Large Class or Blob Blueprint, in the context of TOSCA, and compares metrics-based and unsupervised learning-based detectors on a large dataset. The results suggest a new research direction for dealing with this problem and highlight the effectiveness of metrics-based detectors in detecting Blob Blueprints.
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
(2023)
Article
Computer Science, Software Engineering
Stefano Dalla Palma, Gemma Catolino, Dario Di Nucci, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Summary: This paper evaluates a new DevOps methodology called RADON for serverless software delivery and evolution. The framework achieves the harmonization of abstraction and actuation of action-trigger rules, avoiding lock-in to function-as-a-service (FaaS) and optimizing decomposition and reuse through model-based FaaS-enabled development and orchestration.
Article
Computer Science, Software Engineering
Giovanni Quattrocchi, Damian Andrew Tamburri, Willem-Jan Van Den Heuvel
Summary: Service continuity requires establishing a visible and understandable connection between customer experience and service operations. Manual methods for establishing this connection, such as service incident management, are time-consuming, inefficient, and prone to errors. On the other hand, artificial intelligence (AI) is emerging as an automated solution for handling the discontinuities in critical business tasks. This article introduces AI-driven incident management and proposes ACQUA, an AI approach for automatically assessing the quality of ticket descriptions, leading to improved resolution times and service continuity.
SOFTWARE-PRACTICE & EXPERIENCE
(2023)
Article
Computer Science, Information Systems
Damian A. Tamburri, Vincent R. van Mierlo, Willem-Jan van den Heuvel
Summary: The amount of data is increasing rapidly, but its consumption is not keeping up. DataOps is a new family of techniques and tools that utilize complex cloud systems orchestration techniques to continuously harness the potential of data. This paper presents a proof-of-concept implementation of a DataOps pipeline for mitigating the effects of droughts in high-risk areas. The study focuses on a game reserve in the Waterberg area of Limpopo province, South Africa. The objectives of the paper include developing and studying a proof of concept for DataOps, exploring the applicability of individual software components in a large-scale continuous pipeline, and discussing the spatial classification of these components in a new Drought Early-Warning System (DEWS). The findings suggest that a combined model of local, regional, and global data performs the best within an acceptable timeframe for stakeholders.
IEEE TRANSACTIONS ON BIG DATA
(2023)
Article
Management
Majid Mohammadi, Damian A. Tamburri, Jafar Rezaei
Summary: This article examines three common fallacies in group multi-criteria decision-making and proposes solutions based on compositional data analysis to prevent misapplication of statistical operations.
GROUP DECISION AND NEGOTIATION
(2023)
Article
Computer Science, Information Systems
Giuseppe Cascavilla, Damian A. Tamburri, Francesco Leotta, Massimo Mecella, WillemJan Van Den Heuvel
Summary: The demand for protection and security of physical spaces and urban areas increased with the escalation of terroristic attacks in recent years. We envision with the proposed cyber-physical systems and spaces, a city that would indeed become a smarter urbanistic object, proactively providing alerts and being protective against any threat.
INFORMATION AND SOFTWARE TECHNOLOGY
(2023)
Article
Computer Science, Software Engineering
Lulai Zhu, Damian Andrew Tamburri, Giuliano Casale
Summary: This paper proposes a semi-automatic approach called RADF to migrate monolithic applications to serverless architecture by decomposing them into serverless functions based on business logic analysis. The approach adopts a two-stage refactoring strategy and can generate solutions at either microservice or function level. Evaluation experiments show that RADF achieves lower coupling and relatively balanced cohesion compared to previous approaches.
SOFTWARE-PRACTICE & EXPERIENCE
(2023)
Proceedings Paper
Computer Science, Software Engineering
Indika Kumara, Fabiano Pecorelli, Gemma Catolino, Rick Kazman, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Summary: MLOps refers to a set of practices and tools that automate and combine model development and model operation, enabling organizations to successfully deploy and manage their ML models in production.
2023 IEEE 20TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION, ICSA-C
(2023)
Proceedings Paper
Computer Science, Software Engineering
Luciano Baresi, Giovanni Quattrocchi, Damian A. Tamburri
2023 IEEE 20TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION, ICSA-C
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Daniel De Pascale, Giuseppe Cascavilla, Damian A. Tamburri, Willem-Jan Van den Heuvel
Summary: In recent years, there has been a rapid increase in illegal online market services on the Dark Web, allowing for easy acquisition of illicit goods through simple service interactions. To understand this emerging illegal services economy, a monitoring tool called SENSEI (Scraper for Enhanced analysis to Evaluate Illicit trends) was developed. SENSEI extracts specific service transaction trends and analyzes human behaviors behind them in order to provide insights on customers and vendors in the Dark Web. Additionally, it offers a trend analysis tool to identify and categorize relationships among different criminal activities, supporting investigation and law enforcement efforts in detecting criminal operations.
SERVICE-ORIENTED COMPUTING - ICSOC 2022 WORKSHOPS
(2023)
Article
Computer Science, Software Engineering
Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci
Summary: This paper contributes to the existing body of knowledge on factors affecting productivity in software development by studying the cultural and geographical dispersion of a development community. The results show that cultural and geographical dispersion significantly impact productivity, suggesting that managers and practitioners should consider these aspects throughout the software development lifecycle.
JOURNAL OF SYSTEMS AND SOFTWARE
(2024)
