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How Did It Evolve? Developing a Policy Design Experiment for Sustainability Transitions of a National Museum of Modern and Contemporary Art
Get PDFDepartment of Creative Design EngineeringAs museums and cultural institutions have responded to the environmental challenges posed by the climate crisis, they have become critical arenas in driving sustainable design practices. Designers can contribute to those communities for sustainability transitions on multiple scales of society and various timelines by using their creative and decisive agency. However, there needs to be more practical knowl- edge of the design approaches for operationalizing sustainability transitions of such institutions. This thesis presents a multi-layered account of the development process of a policy design experiment for sustainability transitions at the National Museum of Modern and Contemporary Art in South Korea. The author retrospectively traced the entire process, conducted interviews with the project team members, including the director and student designers, and performed a thematic analysis to identify how the pro- cess could evolve. The findings suggest that the process of a policy design experiment for sustainability transitions of a public art museum follows a non-linear and complex process intertwined with multiple design activities. This research???s insights can inspire design researchers, practitioners, museums, and cultural institutions seeking systemic and long-term innovation for sustainability.clos
MetaAPR
Get PDFDepartment of Computer Science and EngineeringAutomated Program Repair (APR) aims to help developers automatically fix software bugs. However, current traditional and learning-based APR techniques suffer from the problem of limited fixes, although the candidates of patches contain relevant approaches(patterns) to fix the buggy program. In recent years, researchers leveraged the idea of using Deep Learning Models for efficient bug fixing with trained models, which determines relevant bug fixing patterns. Also, the idea of using Large Language Models, which is trained on a large amount of data, is gaining more acceptance in the Program Repair field. Deriving out of that, it is possible to combine both approaches for efficient bug fixing. In this work, we perform a program repair technique that consists of a two-step approach that makes use of existing learning-based APR techniques and Large Language Models. Firstly, we acquire relevant patterns for bug fixing the particular program from any arbitrary learning-based models by performing template extraction. Secondly, after extracting templates we feed them into LLM models to generate concrete patches by filling the template with some tokens.clos
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No full textDepartment of Chemistryclos
Exciton???Scissoring Perfluoroarenes Trigger Photomultiplication in Full Color Organic Image Sensors
No full textWe report an unprecedented but useful functionality of perfluoroarenes to enable exciton scissoring in photomultiplication-type organic photodiodes (PM-OPDs). Perfluoroarenes that are covalently connected to polymer donors via photochemical reaction enable us to demonstrate high external quantum efficiency and B-/G-/R-selective PM-OPDs without the use of conventional acceptor molecules. We investigated the operation mechanism of the suggested perfluoroarene-driven PM-OPDs, ???How can covalently bonded polymer donor:perfluoroarene PM-OPDs perform as effectively as polymer donor:fullerene blend-based PM-OPDs????. By employing a series of arenes and conducting steady-state/time-resolved photoluminescence and transient absorption spectroscopy analyses, we find that interfacial band bending between the perfluoroaryl group and polymer donor is responsible for exciton scissoring and subsequent electron trapping, which induces photomultiplication. Owing to the acceptor-free and covalently interconnected photoactive layer in the suggested PM-OPDs, superior operational and thermal stabilities were observed. Finally, we demonstrated finely patterned B-/G-/R-selective PM-OPD arrays that enable the construction of highly sensitive passive matrix-type organic image sensors
Nationwide assessment of atmospheric organochlorine pesticides over a decade during 2008-2017 in South Korea
No full textLong-term nationwide atmospheric monitoring of organochlorine pesticides (OCPs) was performed in South Korea during 2008-2017. Their occurrences, seasonal and temporal variability, sources, and effect of ambient temperature were investigated. The OCPs are pronounced with a mean concentration of total OCPs ranging from 5.2 to 256 pg/ Sm3. However, a decrease of 54 %was observed in the mean concentration of total OCPs from 2008 to 2017 associated with regulatory actions. OCP concentrations did not show any variations between the different site types, and OCPs were ubiquitously present at all site types. The mean concentration of total OCPs in summer was two-fold higher than in winter. The concentrations of DRINs, DDTs, ENDOs, and HCHs were significantly higher in summer, but the concentrations of chlordane and heptachlor were higher in winter. The diagnostic ratios identified major sources as ongoing sources, past use, and atmospheric transport. Clausius Clapeyron plots strongly suggested the re-emission of & alpha;-endosulfan, )3-endosulfan, & alpha;-HCH, and )3-HCH, and & UDelta;Hsa (enthalpy of surface air exchange) values suggested the influence of the transport and/or new sources on aldrin, dieldrin, and chlordane. The occurrence of OCPs due to reemissions, ongoing sources, and long-range atmospheric transport could be a challenge towards the complete phaseout of OCPs in South Korea
Keller box computation for entropy generation analysis in the coating flow of magneto viscoelastic polymer nanofluid over a circular cylinder
No full textPurpose
The need for precise synthesis of customized designs has resulted in the development of advanced coating processes for modern nanomaterials. Achieving accuracy in these processes requires a deep understanding of thermophysical behavior, rheology and complex chemical reactions. The manufacturing flow processes for these coatings are intricate and involve heat and mass transfer phenomena. Magnetic nanoparticles are being used to create intelligent coatings that can be externally manipulated, making them highly desirable. In this study, a Keller box calculation is used to investigate the flow of a coating nanofluid containing a viscoelastic polymer over a circular cylinder.
Design/methodology/approach
The rheology of the coating polymer nanofluid is described using the viscoelastic model, while the effects of nanoscale are accounted for by using Buongiorno???s two-component model. The nonlinear PDEs are transformed into dimensionless PDEs via a nonsimilar transformation. The dimensionless PDEs are then solved using the Keller box method.
Findings
The transport phenomena are analyzed through a comprehensive parametric study that investigates the effects of various emerging parameters, including thermal radiation, Biot number, Eckert number, Brownian motion, magnetic field and thermophoresis. The results of the numerical analysis, such as the physical variables and flow field, are presented graphically. The momentum boundary layer thickness of the viscoelastic polymer nanofluid decreases as fluid parameter increases. An increase in mixed convection parameter leads to a rise in the Nusselt number. The enhancement of the Brinkman number and Biot number results in an increase in the total entropy generation of the viscoelastic polymer nanofluid.
Practical implications
Intelligent materials rely heavily on the critical characteristic of viscoelasticity, which displays both viscous and elastic effects. Viscoelastic models provide a comprehensive framework for capturing a range of polymeric characteristics, such as stress relaxation, retardation, stretching and molecular reorientation. Consequently, they are a valuable tool in smart coating technologies, as well as in various applications like supercapacitor electrodes, solar collector receivers and power generation. This study has practical applications in the field of coating engineering components that use smart magnetic nanofluids. The results of this research can be used to analyze the dimensions of velocity profiles, heat and mass transfer, which are important factors in coating engineering. The study is a valuable contribution to the literature because it takes into account Joule heating, nonlinear convection and viscous dissipation effects, which have a significant impact on the thermofluid transport characteristics of the coating.
Originality/value
The momentum boundary layer thickness of the viscoelastic polymer nanofluid decreases as the fluid parameter increases. An increase in the mixed convection parameter leads to a rise in the Nusselt number. The enhancement of the Brinkman number and Biot number results in an increase in the total entropy generation of the viscoelastic polymer nanofluid. Increasing the strength of the magnetic field promotes an increase in the density of the streamlines. An increase in the mixed convection parameter results in a decrease in the isotherms and isoconcentration
An event-termination cue causes perceived time to dilate
No full textThe perceived duration of time does not veridically reflect the physical duration but is distorted by various factors, such as the stimulus magnitude or the observer's emotional state. Here, we showed that knowledge about an event's termination time is another significant factor. We often experience time passage differently when we know that an event will terminate soon. To quantify this, we asked 33 university students to report a rotating clock hand's duration with or without a termination cue that indicated the position at which the clock hand disappeared. The results showed that the presence of the termination cue dilated perceived durations, and the dilating effect was larger when the stimulus duration was longer, or the speed of the rotating stimulus was slower. A control experiment with a start-cue excluded the possibility that the cue's mere existence caused the results. Further computational analyses based on the attention theory-of-time perception revealed that the size of dilation is best explained by neither an event's duration nor the distance traveled by the clock hand, but by how long the clock hand spends time near the termination cue. The results imply that an event-termination cue generates a field in which the perceived time dilates
Comparison of the Performance between DMD and SindyAutoencoders for Selecting Dominant Modes and Reducing Data Dimensionality on GENE Data
No full textNumerical Power Tilts in Full-Core Monte Carlo CANDU Model Exacerbated by Equilibrium Xenon
No full textThe availability of multiple Monte Carlo (MC) codes and computing hardware advances has made full-core MC simulation a tractable problem. To shift research emphasis from predicting keff to the local flux distribution, there are practical challenges when applying MC codes and models to full-core problems, such as determining key simulation parameters like inactive cycles, active cycles, number of histories (N), and initial source distribution. This paper investigates the power tilt phenomena in a 1/8 symmetry CANDU-6 full-core model developed in the Monte Carlo code MCS. Also, Central Limit Theorem (CLT) study is performed to understand the variation in bundle powers due to power tilts, with 100 low N cases initialized with different random seeds and the results show that the xenon-free 1/8 CANDU model simulation is well-converged using simulation parameters of 120 inactive cycles, 500 active cycles, and 10 million N. However, when simulated with equilibrium xenon core, there is strong autocorrelation of the CLT bundle power errors with systematically overestimated low power bundles and underestimated high power bundles. This result is indicating a power tilt contaminating the reference solution. This study highlights that the xenon effects on the spatial power distribution might be a contributing factor and more investigation is needed including testing larger N
