bluuebunny/crossref_metadata_2025_split huggingface dataset:
The sustainability and social entrepreneurship fellowship: transdisciplinary and multicultural problem-based engineering education
Authors: Krauss Gordon , Rennick Chris , Ibrahim Nadine , Bedi Sanjeev 
Published: May 2024

AbstractThe nine-week Sustainability and Social Entrepreneurship Fellowship at the University of Waterloo addressed urban habitation sustainability in London, Ontario, via a multicultural, trans-disciplinary approach. Undergraduate engineering students addressed housing and transportation environmental and social sustainability, guided by expert lectures and fieldwork. The program highlights the importance of diversity in engineering education and the need for structured cultural and educational management. Students proposed engineering solutions to sustainably improve the housing development process.
Learning in a digital fabrication course on building tangible artefacts
Authors: Nanjappan Vijayakumar , Georgiev Georgi V. , Casakin Hernan , Soomro Sohail Ahmed 
Published: May 2024

AbstractThis paper examines how students' ideas evolve into physical prototypes within a digital fabrication design course. Examining the materials used, customization approaches, iterations, and team dynamics of 26 student projects reveals interplays between ideas, available tools, materials and constraints. Findings show the predominance of techniques, design preferences, concept refinement, and teamwork challenges. The implications highlight the value of hands-on iteration for alignment with reality and the need to support collaboration skills alongside technical prototype development.
A generative toolkit to help raise industrial design students’ awareness of low metal recycling rates
Authors: Schoch Konrad , Hemmert Fabian , Liedtke Christa 
Published: May 2024

AbstractEducation for Sustainable Development requires raising individuals' awareness of problems relevant to the environment. We designed a Generative Toolkit that supports industrial design students carrying out a Speculative Design task and through this process initiates greater problem awareness of low metal recycling rates. In this paper we give insights into the Toolkit's theoretical derivation and the design process. Findings from testing suggest that there are several opportunities for improvement, such as considering further content-related competencies in the Toolkit's design.
Circularity in product engineering – towards a forward-looking approach across product generations
Authors: Albers Albert , Tusch Leonard , Jäckle Michael , Seidler Moritz , Kempf Christoph 
Published: May 2024

AbstractTo enable a truly circular economy in product engineering, the development of products in generations must be considered. Thus, we strive to enable a forward-looking circularity approach, proposing the integration of system generation engineering (SGE) with circular economy principles. By analysing the qualitative interrelations among product generations driven by distinct value preservation strategies on various value creation tiers ("R-strategies"), we extend prior SGE research to advance model theory and support practical application of circular product engineering.
Analysis of collaborative CAD user actions in design sprint: insights from an educational setting
Authors: Šklebar Jelena , Martinec Tomislav , Škec Stanko , Štorga Mario 
Published: May 2024

AbstractDesign sprints complement traditional teaching methods, especially in project-based learning courses. While this approach can potentially change Computer-Aided Design (CAD) usage, it is still underexplored. Therefore, this study explores the influence of design sprints on embodiment-focused CAD activities in project-based learning by examining differences in patterns of CAD user actions, focusing on design space and action types. The case involves two higher-graded and two lower-graded student design teams monitored with a non-invasive method across a two-day design sprint event.
Nurture employees’ creative behaviors: unveiling the impact of design thinking on human organizational behavior
Authors: Melazzini Michele , Carella Gianluca 
Published: May 2024

AbstractThis research explores the impact of Design Thinking (DT) on Organizational Behaviour, explicitly focusing on individual employees, the micro-level of the organization. The research runs a single-case study within an Italian bank adopting DT through its HR department. The study proposes a model illustrating how DT adoption influences specific individual behavioral constructs: motivations, attitudes, capabilities, and creative behaviors. The study finds that fostering confidence in the creative process enhances human engagement and proactivity.
The relation between service and digital transition: implications for designers
Authors: Monti Teresa , Colombo Samuele , Montagna Francesca , Cascini Gaetano 
Published: May 2024

AbstractService and digital transitions create a range of solutions by combining their features and introducing both human and automated agents as intermediaries. The paper classifies non/digital product/service and explores how these transitions change user involvement. A model is proposed to assess the user's role with human (service) and automated (digital) intermediaries. Utilizing user journey phases, the model is applied to four case studies, revealing commonalities in transition occurrences. Evidence suggest a potential adoption in design identifying the key phases per each transitions.
Visualizing and analysing data-driven shift from decentralized to centralized automotive E/E architectures
Authors: Phadnis Tejas Pravin , Feyerabend Nils , Axmann Joachim 
Published: May 2024

AbstractDecentralized E/E architectures (EEAs) are facing challenges and bottlenecks in implementing new features and technologies. The shift towards centralized EEAs has many challenges and needs to be handled pragmatically by considering concurrency with the existing EEAs. To address the challenges of architectural shift, the paper showcases the quantitative comparison of EEAs and visualizes the flow of shifting sub-function and hardware blocks using the Sankey diagram. The observations from the diagram as a result will support OEMs to analyse and take decisions on the shift while developing EEAs.
Virtual design hackathons: a data collection framework
Authors: Martinec Tomislav , Valjak Filip , Horvat Nikola , Goudswaard Mark , Nygård Ege Daniel , Ballantyne Robert , Berg Martin Francis , Glaser Tobias , Grosse Cornelius , Lipšinić Zvonimir , Lukačević Fanika , Lukasiewicz Marek S. , Mašović Robert , McClenaghan Adam , Monti Teresa , Øvrebø Henrik H. , Schmitt Pascal , Stubberud Vegar , Taiwo Emmanuel TJ , Lisac Ana 
Published: May 2024

AbstractDesign hackathons offer a unique research opportunity to study time-pressured collaborative design. At the same time, research on design hackathons faces unique methodological challenges, prompting the exploration of new research approaches. This paper proposes a new data-collection framework that leverages a virtual format of hackathon events and enables a deeper insight into hackathon dynamics. The framework applicability is presented through a case study of the IDEA challenge hackathon, in which different intrusive and non-intrusive data collection approaches were used.
Reducing uncertainty regarding customer expectations for a sustainable car interior design integrated in a data-informed design approach
Authors: Quattelbaum Bastian , Geiger Lara Amelie , Stylidis Kostas , Söderberg Rikard 
Published: May 2024

AbstractSustainability is influencing the automotive industry. Car manufacturers are increasingly prioritizing sustainable materials. The production of these still pose environmental challenges. This paper addresses the trends related to sustainable car interiors. It emphasizes the importance of understanding how customers perceive these new materials. Seven in-depth interviews were conducted, followed by a survey with 106 participants to obtain generalized insights. The results will reduce the uncertainty regarding customer expectations for sustainable car interiors.
Chronobiology of pupil dilation in design students during idea generation
Authors: Colombo Samuele , Gero John S. , Mazza Alessandro , Cantamessa Marco 
Published: May 2024

AbstractChronobiology studies physiological variations due to the time of day, an unexplored factor in design research. This paper explores the effect of time of day on designers' physiological responses in idea generation. Convergent (CT) and divergent (DT) thinking, as building blocks of designing, are explored using pupil dilation as a proxy for cognitive load. Time of day and educational background are explored for engineering and industrial designers. Results show a larger pupil diameter in the afternoon than in the morning, especially for DT, with higher values for industrial designers.
Design strategies to facilitate second-hand clothing acquisition
Authors: Das Marie , Moons Ingrid , Du Bois Els 
Published: May 2024

AbstractExtensive research found many barriers and drivers in second-hand clothing (SHC) acquisition. This study explores their relationships and the role of design in enhancing SHC experiences. 16 semi-structured interviews revealed insights into personal experiences and emotions. Customer journey mapping highlighted 5 design interventions: a. effective branding and marketing, b. appealing clothing presentation, c. facilitating garment search, d. aiding quality inspection, and e. optimizing price-quality balance. Future, quantitative, research is needed to confirm the findings for a wider public.
A Representation of the Inauguration Ceremony of the Restored Temple? A (Tentative) Reinterpretation of the Bar Kokhba Tetradrachm
Authors: Bourgel Jonathan (Yonatan) 
Published: May 2024

AbstractThe coinage of Bar Kosiba (Bar Kokhba), the leader of the Second Jewish Revolt (132–135/6 CE), has long been acknowledged as a source of data for understanding the ideology and goals of the rebel regime he headed. In particular, the imagery and legends on Bar Kosiba’s tetradrachms have been the subject of many interpretations and controversies. This article proposes that the facade of the temple on the obverse of Bar Kosiba’s tetradrachms and the four species on its reverse side are complementary symbols, joined together to represent the future inauguration ceremony of the restored temple. Furthermore, this imagery on the tetradrachms may have been intended to respond to the coins issued to commemorate the founding of the colony of Aelia Capitolina on the site of Jerusalem.
Images Above All: Richard Kroner and the Religious Imagination
Authors: Hendrickson Caleb 
Published: May 2024

AbstractThis essay returns to a largely forgotten achievement of mid-twentieth-century philosophical theology, Richard Kroner’s Culture and Faith (1951) and the “philosophy of faith” presented therein. It focuses on Kroner’s idea of religious imagination as the inspired medium of revelation. It considers implications of this idea with regard to religious epistemology and theological language. In doing so, it puts Kroner in conversation with John Caputo, Iain McGilchrist, and Kroner’s friend and colleague Paul Tillich.
Uncertainty shocks and monetary policy rules in a small open economy
Authors: Gupta Sargam 
Published: May 2024

Abstract
Post the great financial crisis (GFC) of 2008–2009, there has been a surge in the macroeconomics literature on aggregate uncertainty. Although the recent literature has recognized the adverse real effects of global uncertainty shocks in emerging market economies (EMEs), the role of monetary policy in offsetting these adverse effects and their link with the exchange rates is not explored in the literature. We find that the currently followed interest rate rules (IRRs) under a flexible inflation-targeting regime are ineffective in stabilizing the domestic economy during periods of high global uncertainty in the EMEs. Using a small open economy new Keynesian DSGE model with Epstein–Zin preferences and second-moment demand shocks, we compare and propose alternate monetary policy rules that significantly reduce welfare losses. We find that the best monetary policy rule in terms of welfare depends on the nature of shock that is, first-moment or second-moment shock.
Partisanship, Independence, and the Constitutive Representation of Women in the Canadian Senate
Authors: McCallion Elizabeth 
Published: May 2024

AbstractThis article investigates legislators’ willingness to talk about gender and women during policy making discussions, asking whether it is conditional on their sex or partisanship in environments where party discipline does not constrain their speech. The Canadian Senate offers a case of a legislature with low or absent party discipline. A quantitative content analysis of nearly 1,000 Senate committee meetings confirms that sex is a primary indicator of legislators’ inclination to talk about gender and women. Moreover, women senators who sit on committees with a critical mass of women members (30% or greater) are more likely to talk about gender and women, making the case for the importance of women’s descriptive representation. Partisanship and independence had no significant effect on senators’ propensity to discuss women. The findings suggest that partisanship does not constrain legislators’ representation of women in environments with low party discipline.
Water quality management in aquaculture
Authors: Yusoff Fatimah M. , Umi Wahidah A. D. , Ramli Norulhuda M. , Harun Razif 
Published: May 2024

Abstract
The aquaculture industry requires good water quality for its successful operation but produces wastes that can cause environmental deterioration and pose high risks to the sector. Adequate waste treatment and recycling are necessary to make aquaculture a sustainable and profitable industry and contribute to the circular economy. Polluted water sources, excess feeding, overstocking, use of antibiotics/chemicals and harmful algal blooms are major causes of water quality deterioration and low production in aquaculture systems. Discharges of untreated wastes would have serious impacts on the receiving water bodies, and eventually on the aquaculture industry itself. Possible solutions include technological innovations in environmentally friendly production systems, use of efficient processes in water quality management and improved legislation and governance. Environmentally feasible aquaculture production technologies such as recycling aquaculture system, integrated multi-trophic aquaculture and aquaponics including features of waste recycling are viable options in aquaculture schemes. Best aquaculture practices integrating advanced water quality treatment processes and technologies, supported by automation and sensors, modeling and artificial intelligence-internet of things are necessary for a sustainable aquaculture environment, production and stable value chain. In general, low-cost technologies for aquaculture waste treatment and environmental impact reduction through good governance are crucial for achieving sustainability in the aquaculture industry and natural environmental management.
The Morphology of Martian Pyroclastic Ramparts and Their Use in Determining Vent‐Proximal Eruption Dynamics
Authors: Pieterek B. , Jones T. J. , Wilson L. 
Published: May 2024

AbstractHigh‐resolution investigations of Late Amazonian volcanic landforms provide previously unrevealed insights into the dynamics of Martian volcanic eruptions. On Earth, the formation of vent‐proximal accumulations of spatter deposits is attributed to low‐intensity lava fountaining episodes representing eruptions on the very edge of explosive activity. Martian spatter deposits form small‐scale volcanic landforms that are rarely reported, and thus the dynamics of Martian mafic explosive eruptions are still not fully constrained. We conducted high‐resolution Context Camera‐based mapping coupled with a stereo‐pair‐generated digital elevation model to reconstruct the eruptive history of a fissure system and its associated products south of Ascraeus Mons, Mars. The studied volcanic fissure clearly demonstrates both explosive and effusive deposits and, in addition, is spatially associated with a lava channel. For the first time, these observations allowed us to conduct a comparative analysis of vent‐proximal volcanic products and reconstruct the late‐stage eruption dynamics of a fissure system. We found that the spatial distribution of the pyroclastic (spatter) rampart along the fissure vent is heterogeneous and generated using dynamic eruption processes. Moreover, the lava channel fed from the fissure vent shows evidence of successive lava overspills whose emplacement was topographically controlled. These observations suggest that, in contrast to the general inference that Amazonian‐age volcanism mainly involves effusive eruptions, explosive‐origin landforms might have been overlooked. Therefore, we argue that high‐resolution mapping of pyroclastic deposits may provide critical insights into understanding the dynamic nature of Martian fissure eruptions and explosive‐associated volatile release during the last stages of eruptions.
The Role of Ocean Mesoscale Variability in Air‐Sea CO2 Exchange: A Global Perspective
Authors: Guo Yiming , Timmermans Mary‐Louise 
Published: May 2024

AbstractOcean mesoscale flows significantly influence nutrient distribution and biological productivity, yet the scarcity of eddy‐permitting observational data sets and climate modeling hinders understanding their role in carbon sequestration. Using an eddy‐resolving global simulation, this study investigates the significance of ocean mesoscales in air‐sea carbon dioxide (CO2) exchange. Results show over 30% of CO2 flux variance in energetic regions attributed to flows with horizontal scales smaller than 2°. Mesoscale flows can drive a cumulative CO2 flux that is either a net carbon sink or source depending on region, with magnitudes on the order of 105 tonnes of carbon per year. Variations in this mesoscale‐related CO2 flux are correlated with local relative vorticity and the background gradient of ocean partial pressure of CO2. This analysis underscores the importance of considering ocean mesoscales in monitoring carbon flux, highlighting the need to explore the influence of increasing eddy activity on carbon uptake in a changing climate.
Impact of the Spatio‐Temporal Mismatch Between Satellite and In Situ Measurements on Validations of Surface Solar Radiation
Authors: Urraca Ruben , Lanconelli Christian , Gobron Nadine 
Published: May 2024

AbstractSatellite and in situ sensors do not observe exactly the same measurand. This introduces a mismatch between both types of measurements in the spatial or temporal. The mismatch differences can be the dominant component in their comparison, so they have to be removed for an adequate validation of satellite products. With this aim, we propose a methodology to characterize the mismatch between satellite and in situ measurements of surface solar radiation, evaluating the impact of the mismatch on validations. The Surface Solar Radiation Data Set—Heliosat (SARAH‐2) and the Baseline Surface Radiation Network are used to characterize the spatial and temporal mismatch, respectively. The mismatch differences in both domains are driven by cloud variability. At least 5 years are needed to characterize the mismatch, which is not constant throughout the year due to seasonal and diurnal cloud cover patterns. Increasing the mismatch can artificially improve the validation metrics under some circumstances, but the mismatch must be always minimized for a correct product assessment. Finally, we test two types of up‐scaling methods based on SARAH‐2 in the validation of degree‐scale products. The fully data‐driven correction removes all the mismatch effects (systematic and random) but fully propagates SARAH‐2 uncertainty to the corrections. The model‐based correction only removes the systematic mismatch difference, but it can correct measurements not covered by the high‐resolution data set and depends less SARAH‐2 uncertainty.
Characterizing Seasonality and Trend From In Situ Time‐Series Observations Using Explainable Deep Learning for Ground Deformation Forecasting
Authors: Ma Zhengjing , Mei Gang , Xu Nengxiong 
Published: May 2024

AbstractGround deformation, a critical indicator of geohazard evolution, exhibits both seasonal fluctuations and long‐term trend changes. This study explores interpretable deformation forecasting using an explainable deep learning approach, utilizing field observation data to extract and characterize these critical features from time series. We demonstrate that extracting and utilizing shared, similar seasonal and trend features across multi‐point observations significantly enhances ground deformation forecasting accuracy. Notably, the extracted seasonal features reveal the dominant role of the hydrological response in deformation at seasonal timescales, providing insights into the underlying source of predictability. This proof‐of‐concept study highlights the promise of interpretable ground deformation forecasting, with applications expected to encompass landslide behavior, volcanism, or seismic activity.
Atmospheric Chemistry Surrogate Modeling With Sparse Identification of Nonlinear Dynamics
Authors: Yang Xiaokai , Guo Lin , Zheng Zhonghua , Riemer Nicole , Tessum Christopher W. 
Published: May 2024

AbstractModeling atmospheric chemistry is computationally expensive and limits the widespread use of chemical transport models. This computational cost arises from solving high‐dimensional systems of stiff differential equations. Previous work has demonstrated the promise of machine learning (ML) to accelerate air quality model simulations but has suffered from numerical instability during long‐term simulations. This may be because previous ML‐based efforts have relied on explicit Euler time integration—which is known to be unstable for stiff systems—and have used neural networks which are prone to overfitting. We hypothesize that parsimonious models combined with modern numerical integration techniques can overcome this limitation. Using a small‐scale mechanism to explore the potential of these methods, we have created a machine‐learned surrogate by (a) reducing dimensionality using singular value decomposition to create an interpretably‐compressed low‐dimensional latent space and (b) using Sparse Identification of Nonlinear Dynamics (SINDy) to create a differential‐equation‐based representation of the underlying dynamics in the compressed latent space with reduced stiffness. The root mean square error of ML model prediction for ozone concentration over 9 days is 37.8% of the root mean square concentration across all simulations in our testing data set. The surrogate model is 10× faster with 12× fewer integration timesteps compared to reference model and is numerically stable in all tested simulations. Overall, we find that SINDy can be used to create fast, stable, and accurate surrogates of a simple photochemical mechanism. In future work, we will explore the application of this method to more detailed mechanisms and their use in large‐scale simulations.