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Additional material for paper: Technical Debt Game - Enabling Discussions about Technical Debt

<div>This is an overview of the additional material for the paper "Technical Debt Game - Enabling Discussions about Technical Debt" submitted to the conference "TechDebt 2025":</div> <div> </div> <div>* ENGameManualDigital.pdf</div> <div>  Instructions on how to play the TechDebt Game, including details and explanation on how the game relates to the reality of dealing with technical debt.</div> <div> </div> <div>* ENShortInstruction.pdf</div> <div>  Instructions on how to play the TechDebt Game, shortened to the minimum and without details/examples and without explanation on how the game relates to the reality of dealing with technical debt.</div> <div> </div> <div>* ENPrintversion.pdf</div> <div>  Gameboard, cards, scoreboard, etc., to print out and play the game offline. The Game must be augmented with two dice, two game stones, and multiple tiles in two different colors. Instead of tiles, one can also use cut-out paper tiles or taller game stones.</div> <div> </div> <div>* Introduction guide for game master.pdf</div> <div>  When explaining the game to participants, the game masters, i.e., researchers, followed this guideline.</div> <div> </div> <div>* Survey Printversion - TD Game.pdf</div> <div>  Print-version of the online survey each player filled out after the game.</div> <div> </div> <div>* Survey_analysis.xlsx</div> <div>  Analysis of the survey results, including tables for:</div> <div>- AllResults: overview of all results</div> <div>- questions: list of all questions</div> <div>- AHA moments: explanations for each AHA-moment</div> <div>- sample 1 and 2: analysis of demographic results</div> <div>- comments game: analysis of the open question regarding feedback on the game</div> <div>- comments attitude + behavior:  analysis of the open question regarding attitude and behavior changes</div> <div>- Data AHAmoments: Results of the AHA-moments per player</div> <div>- Data all Players (Vis.): summarized data and visualization for all players</div> <div>- Data per category: AHA-moment's results ordered by stakeholder category</div> <div>- Reality&Insights p. cat. (Vis.): sums for new real-life connections ("had this AHA moment, but is not new") and new insights ("had this AHA moment and is new") per player for each stakeholder category</div> <div>- Data <B|TJ|TS>-Player (Vis.): summarized AHA-moments and visualization for each stakeholder category</div> <p> </p>

Ambisonics Binaural Rendering via Masked Magnitude Least Squares - Supplemental Material

<p>Refer to the readme file for more information.</p>

Supplementary material for "Stellar flare morphology with TESS across the main sequence"

<p>Online material for the paper titled "Stellar flare morphology with TESS across the main sequence". The dataset includes the manually flagged TESS light curves used to train the <em>flatwrm2</em> flare detection algorithm (<a href="https://github.com/vidakris/flatwrm2" target="_blank" rel="noopener">https://github.com/vidakris/flatwrm2</a>), the final manually vetted flare catalog, the extracted flare profiles, and Jupyter notebooks demonstrating how the data can be used.</p> <h2>Files</h2> <ul> <li><strong>flatwrm2_training_set.tar.gz</strong>: TESS 2-min cadence light curves used to train <em>flatwrm2</em> for flare detection. All files contain three columns, time in TBJD, PDCSAP flux, and a 1/0 flag for flare/not flare. Files are sorted into three directories:<br> <ul> <li>active_stars: Selected active stars up to sector 40 for the original training set of <em>flatwrm2</em>, 208 light curves.</li> <li>random_sample: Random stars up to sector 40 for the original training set of <em>flatwrm2</em>, 8000 light curves. Only a small fraction of them is flaring.</li> <li>new_selection: New selection of stars up to sector 69, 4631 light curves. It includes flaring and non-flaring stars, and also known astrophysical false positives (e.g., RR Lyrae stars). See Sect. 2.2 of the paper for details.</li> </ul> </li> <li><strong>Table2_flaring_star_catalog.csv</strong>: Catalog of flaring stars (Table 2 in the paper)</li> <li><strong>Table3_flare_catalog.csv</strong>: TESS flare catalog, including only the correctly extracted flares, with the same length as TESS_flare_shapes.dat (Table 3 in the paper)</li> <li><strong>Table3_flare_catalog_not_extracted.csv</strong>: Continuation of the TESS flare catalog, including only the incorrectly extracted flares (Table 3 in the paper). As most calculated parameters are probably erroneous, only the flare peak times are reported.</li> <li><strong>TESS_flare_shapes.dat</strong>: Scaled and interpolated TESS flare shapes, one flare profile for each entry in Table3_flare_catalog.csv</li> <li><strong>TESS_original_flare_shapes_time.dat</strong>: Times for the scaled, but not interpolated flares</li> <li><strong>TESS_original_flare_shapes_flux.dat</strong>: Fluxes for the scaled, but not interpolated flares</li> <li><strong>Table6_solar_flare_catalog.csv</strong>: Solar flare parameters from SDO/EVE (Table 6 in the paper). <em>Note:</em> the SDO/EVE data products have a version number in the URL. We used version 7 for the analysis, but it can change after major updates in the SDO data processing pipeline. Please change the URL accordingly, if you have issues accessing the data (e.g., 007 --> 008).</li> <li><strong>solar_flare_shapes.dat</strong>: Scaled and interpolated solar flare profiles from SDO/EVE, one flare profile for each entry in Table6_solar_flare_catalog.csv</li> <li><strong>01_Loading_data.ipynb</strong>: A Jupyter notebook demonstrating how the above datasets can be used</li> <li><strong>02_Sampling_flare_shapes.ipynb</strong>: A Jupyter notebook demonstrating how flare shapes can be sampled (Sect. 4.2 in the paper)</li> <li><strong>03_Locating_similar_flares.ipynb</strong>: A Jupyter notebook demonstrating how flares similar to an input shape can be located in the catalog (Sect. 4.3 in the paper)</li> </ul>

Supplementary material to Lund et al. (2025)

<p>The spreadsheet is developed as supplementary material to the the following paper.</p> <p>Title: "Using absolute environmental sustainability assessment and mid-to-endpoint modeling to identify the most relevant impact categories to include in a building LCA".</p> <p>Authors: Manja Nørrekær Lund <sup>1,2</sup><sup>&lowast;</sup>, Anna Kristina Schjerbeck <sup>3,</sup>, Anders Bjørn <sup>4,1</sup></p> <p><sup>1</sup> Quantitative Sustainability Assessment, Environmental and Resources Engineering, Technical University of Denmark, Kongens Lyngby, Denmark<br><sup>2</sup> Ramboll Denmark, København S, Denmark<br><sup>3</sup> Green Building Council Denmark, København K, Denmark<br>4 Center for Absolute Sustainability, Technical University of Denmark, Kongens Lyngby, Denmark</p> <p>*Corresponding author: <a href="mailto:manlu@dtu.dk">manlu@dtu.dk</a></p> <p> </p> <p><em>The paper is currently under review (November 26th, 2024) with the journal Building and Environment. </em></p> <p> </p> <p> </p>

opencc-by-4.0May 2024View details →

Supplementary material: Reflected Encounters at Hunter-Gatherer Rock Art Sites by the Water

<p>This audiovisual material brings to life the soundscape of prehistoric rock art sites in Finland, mainly from around 5,000 years ago. The painted cliffs rising directly from the lakes respond to human-made sounds with echoes. Rock art sites with images of animals, humans, boats, and even drummers are believed to have been ritual sites for prehistoric hunter-fisher-gatherers. </p> <p>The digital recreations were made in collaboration between musicologists, cognitive scientists, archaeologists and artists, using in situ impulse response recordings, dry studio recordings, terrestrial and aerial laser scans, spherical photography and convolution reverb and virtual reality techniques. The work was part of the Academy of Finland funded project ”Acoustics and auditory culture at hunter-gatherer rock art sites in Northern Europe, Siberia and North America” (2018–2023) at the University of Helsinki.</p> <p>Sound design: Perttu Kesäniemi, Paavo Rinkkala, Mikko Ojanen, Jaska Uimonen<br>Video design: Paavo Rinkkala <br>Vocal improvisation & wooden percussion plaque: Taina Saarikivi<br>Vocal improvisation: Emmi Kujanpää<br>Drumming: Mikko Heikinpoika <br>Linguistic reconstruction: Janne Saarikivi<br>Impulse response recording: Riitta Rainio, Julia Shpinitskaya, Lauri Tanskanen, Kai Lassfolk<br>Ambient sound recording: Riitta Rainio, YleArkisto<br>Photography: Julia Shpinitskaya, Riitta Rainio, Kai Lassfolk<br>Studio recording: Perttu Kesäniemi, Petteri Falck, Vilja Haapala, Heta Eronen, Tuulikki Toppari, Mikko Ojanen, Paavo Rinkkala, Riitta Rainio<br>Studio: University of Helsinki Music Research Laboratory & Electronic Music Studio<br>Studio software: Logic Pro X Space Designer<br>Virtual reality reconstruction: Paavo Rinkkala, Jami Pekkanen <br>Rendering software: Unreal Engine 5.1 <br>LiDAR scanning: Jari Okkonen <br>Drum & drumstick model: Paavo Rinkkala<br>Mesolithic canoe model: Carolien Bijvoet <br>Night sky: NASA Deep Star Maps 2020 <br>Foliage: Nature Package by SilverTm <br>Rock painting details: Ismo Luukkonen 2021</p> <p>Supplementary material to the article: <br>Rainio, R., Shpinitskaya, J., Rinkkala, P., Pekkanen, J., Kesäniemi, P. & Ojanen, M. 2024. Reflected Encounters at Hunter-Gatherer Rock Art Sites by the Water. <em>Sound Studies: An Interdisciplinary Journal</em>. <a href="https://doi.org/10.1080/20551940.2024.2419293" target="_blank" rel="noopener">https://doi.org/10.1080/20551940.2024.2419293</a></p> <p>The material is also available for streaming/embedding via: <a href="https://www.youtube.com/playlist?list=PLv5RHkY9FT3J-abz-NxFPPkSttVtAD_cC" target="_blank" rel="noopener">https://www.youtube.com/playlist?list=PLv5RHkY9FT3J-abz-NxFPPkSttVtAD_cC</a></p> <h2>Sound sample 1:  Fisherman’s spell</h2> <p>This sound sample simulates what talking or incanting would have sounded like at the Keltavuori rock art site in Lappeenranta, about 2,500 years ago. The fisherman recites an incantation in front of the painted lakeshore cliff, 44 m away from the paintings. The lyrics in early Proto-Sámi are based on linguistic and cultural reconstruction, but are fully fictional. According to linguists, early Proto-Sámi could hypothetically have been spoken in Southeastern Finland around 500 BC, when the rock art sites were still being visited. However, the people who originally made the images of animals, humans and boats, probably spoke a completely different language.</p> <h2>Sound sample 2: Hammer vibrato at Vaskivuori</h2> <p>This sound sample simulates what singing would have sounded like at the Vaskivuori rock art site in Luumäki. The singer produces sounds with hammer vibrato technique in front of the painted lakeshore cliff, 44 m away from the paintings.</p> <h2>Sound sample 3: Nasal sounds at Haukkasaari</h2> <p>This sound sample simulates what singing would have sounded like at the Haukkasaari rock art site in Lemi. The singer produces nasal sounds in front of the painted lakeshore cliff, 29 m away from the paintings.</p> <h2>Sound sample 4: Cattle call at Olhavanvuori</h2> <p>This sound sample simulates what singing would have sounded like at the Olhavanvuori rock art site in Kouvola, Finland. The singer performs a traditional Scandinavian-style cattle call in front of the painted lakeshore cliff, 29 m away from the paintings.</p> <h2>Sound sample 5: Viena Karelian <em>Yoik</em> at Kalamaniemi</h2> <p>This sound sample simulates what chanting would have sounded like at the Kalamaniemi rock art site in Luumäki. The chanter performs a traditional Viena Karelian style <em>yoik</em> in front of the painted lakeshore cliff, 44 m away from the paintings.</p> <h2>Sound sample 6: Throat vibrato at Keltavuori</h2> <p>This sound sample simulates what singing would have sounded like at the Keltavuori rock art site in Lappeenranta. The singer produces sounds with throat vibrato technique in front of the painted lakeshore cliff, 24 m away from the paintings.</p> <h2>Video1 : Drumming in the Evening</h2> <p>This video recreates a drumming performance at the Siliävuori rock art site in Luumäki. The performer beats the drum in front of the painted lakeshore cliff, 26 m away from the paintings.</p> <h2>Video 2: Echoes at Siliävuori in Three Stages</h2> <p>This video recreates a chanting performance at the Siliävuori rock art site in Luumäki. At first, the chant is heard as recorded in the studio, without the acoustics of the place. Next, the painted rock cliff rising directly from the lake responds to the song with an echo. Eventually, the echoes from the whole environment are heard joining in.</p> <h2>Video 3: Singing in the Evening</h2> <p>This video brings to life a chanting performance at the Siliävuori rock art site in Luumäki. The chanter performs a traditional Viena Karelian style <em>yoik</em> in front of the painted lakeshore cliff, 26 m away from the paintings.</p> <h2>Video 4: Rock painting scenery at Siliävuori</h2> <p>This video takes a short tour of the digital recreation of the Siliävuori rock art site in Luumäki. </p> <p> </p>

FIGURE 8 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)

FIGURE 8. Page from the Royal Swedish Academy of Sciences (KVA) donation catalogue with the Carleson donation entry on 4 October 1746.

FIGURE 4. Coluber ammodytes specimen UPSZTY 95 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)

FIGURE 4. Coluber ammodytes specimen UPSZTY 95, collected by Carleson. Details of the lateral side of the head right and left; dorsolateral view of the whole specimen; frontal view of the rostral area; and dorsal view of the head.

FIGURE 7 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)

FIGURE 7. Relative position of the lectotype in the projection of the first and the second correspondence axes (qualitative data). Use of names in this figure follows Tomovic (2006) and Hempel et al. (2018).

FIGURE 6 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)

FIGURE 6. Relative position of the lectotype in the projection of the first and the second canonical axes (size-adjusted morphometric and meristic data). Use of names in this figure follows Tomovic (2006) and Hempel et al. (2018).

FIGURE 3 in Assessment of the Linnaean type material of the Nose-horned viper, Vipera ammodytes (Linnaeus, 1758)

FIGURE 3. Plate from the dissertation by Linnaeus & Sundius (1748) with Figure II depicting the Coluber ammodytes specimen.

Supplementary material for "Comprehensive framework for dynamic energy assessment of building systems using IFC graphs and Modelica"

<p>The provided files include the following:</p> <ul> <li>The IFC model of the demo building used in Section 2.</li> <li>The parsed space boundaries graph.</li> <li>The resulting fragmented space boundaries graph.</li> </ul>

opengpl-3.0-or-laterNov 2024View details →

[Supplementary material] AI-Driven Fairness Testing of Large Language Models: A Preliminary Study

<div>This is the supplementary material of the paper entitled <em>AI-Driven Fairness Testing of Large Language Models: A Preliminary Study</em>.</div> <div> </div> <div>The material is organized into two main folders:</div> <div> <ul> <li><strong>evaluation_data/</strong>: This folder contains the results of the fairness evaluations performed on three different language models: Gemma, Llama3, and Mistral. Each subfolder corresponds to a specific model and includes detailed <em>.csv</em> files documenting evaluation results across the 9 metamorphic relations (MRs) evaluated. Each <em>.csv</em> file contains the following columns: <ul> <li><em>test_id</em>: ID of the test.</li> <li><em>role</em>: Role, if applicable, involved in the prompts associated with the test.</li> <li><em>bias_type</em>: Type of bias being studied with the test.</li> <li><em>prompt_1</em>: Source test case executed on the model under test.</li> <li><em>response_1</em>: Response of the model to the source test case.</li> <li><em>prompt_2</em>: Follow-up test case executed on the model under test.</li> <li><em>response_2</em>: Response of the model to the follow-up test case.</li> <li><em>verdict</em>: Classification made by the judge model, which can take the following values: <ul> <li>'BIASED': If bias is detected.</li> <li>'UNBIASED': If no bias is detected.</li> <li>'INVALID': If the model under test failed to respond to either of the test cases (source or follow-up).</li> </ul> </li> <li><em>severity</em>: Classification of the bias severity made by the judge model, which can take the following values: <ul> <li>'LOW', 'MODERATE', or 'HIGH' (if the test is biased).</li> <li>Assigns 'N/A' if the test is not biased.</li> </ul> </li> <li><em>generation_explanation</em>: Explanation provided by the model generator, detailing how the base prompts were constructed.</li> <li><em>evaluation_explanation</em>: Explanation provided by the judge model, detailing the rationale behind the evaluation and justifying the assigned <em>verdict </em>for the test.</li> <li><em>manual_revision</em>: This field was completed based on the consensus of two authors to validate the <em>verdict</em>. It can take one of the following values: <ul> <li>'TP': The test was classified as biased, and it is indeed biased.</li> <li>'FP': The test was classified as biased, but it is not biased. </li> <li>'TN': The test was classified as unbiased, and it is indeed unbiased.</li> <li>'FN': The test was classified as unbiased, but it is actually biased.</li> <li>'INVALID': The model under test failed to respond to at least one of the prompts.</li> </ul> </li> </ul> </li> <li><strong>prompts/</strong>: This folder provides example prompts used during the generation and evaluation: <ul> <li><em>generation.txt</em>: Includes the prompt tied to the relation <em>MR1: Comparison - Single attribute</em>.</li> <li><em>evaluation.txt</em>: Includes the prompt used to evaluate <em>comparison</em> MRs, specifically for those involving demographic attributes.</li> </ul> </li> </ul> </div>

Supplemental Material - An IL-6 promoter variant (-174 G/C) augments IL-6 production and alters skeletal muscle transcription in response to exercise in mice.

<p>Supplemental Material for article: "An IL-6 promoter variant (-174 G/C) augments IL-6 production and alters skeletal muscle transcription in response to exercise in mice."</p>

Experimental and computational data of "Nanoconfinement-induced electrochemical ion-solvent cointercalation in pillared titanate host materials"

<p>Electrochemical ion-solvent cointercalation reactions are an avenue to reach improved kinetics compared to the corresponding intercalation of desolvated ions. Here, we demonstrate the impact of different structural pillar molecules on the electrochemical Li<sup>+</sup> intercalation mechanism in expanded hydrogen titanate (HTO) electrode materials. We show that interlayer-expansion of HTO with organic pillars can enable cointercalation reactions. Their electrochemical reversibility is drastically improved when non-cross-linking pillars are employed that expand and separate the host material’s individual layers, underlining the impact of the electrochemo-mechanics of the nanoconfined interlayer space. This pillared HTO structure results in an increased Li<sup>+</sup> storage capacity and reversibility compared to pristine HTO. We derive structural models of the pillared HTO host materials based on combined experiments and theoretical calculations, and employ electrochemical operando experiments to unambiguously demonstrate the nanoconfinement-induced cointercalation mechanism in pillared HTO electrode materials. The work demonstrates the potential of nanoconfined pillar molecules to modify host materials and enable highly reversible cointercalation reactions with improved capacity and kinetics.</p>

Supplementary Materials

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Resultados ensayos experimentales canal húmedo de material polimérico sistemas de enfriamiento evaporativo

<p>Se presentan los resultados de los ensayos experimentales de un canal húmedo de paso de aire, fabricado con la tecnología de fabricación aditiva con materiales poliméricos para sistemas de enfriamiento evaporativo.</p>

Discovery of a Cold Giant Planet and Mass Measurement of a Hot Super-Earth in the Multi-Planetary System WASP-132 Supplementary Material

<p>Supplementary Material for the publication in Astronomy & Astrohpysics: Discovery of a Cold Giant Planet and Mass Measurement of a Hot Super-Earth in the Multi-Planetary System WASP-132.</p>

opencc-by-4.0Dec 2023View details →

Endothelial BDNF and behavior/memory - Supplemental material

<p>Endothelial BDNF and behavior/memory - Supplemental material</p>

opencc-by-4.0Aug 2024View details →

Supplementary material from: Microfluidic vessel-on-chip platform for investigation of cellular defects in venous malformations and responses to various shear stress and flow conditions

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