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478 results for “artifact”
Artifact of Method-Level Java Class Splitter
<p><strong>Artifact of Method-Level Java Class Splitter</strong></p> <p> </p> <p>It contains:</p> <p>1. The binary folder. The instructions are in [./binary/README.md](./binary/README.md).</p> <p>2. All subjects used in the experiments [./classes.csv](./classes.csv).</p> <p>3. The experimental result zip file ([experimental_data.zip](./experimental_data.zip)).</p>
The SAT Museum POS'23 Artifact
<p>This dataset provides the artifact for our POS'23 paper on "The SAT Museum" effort. It includes the original sources of solvers winning the SAT competitions together with patches to fix, compile and run them with modern compilers, as well as log files and other experimental data when running these solvers on 6 SAT Competition benchmark sets.</p>
Rajasthani Artifact
Handcrafted mud Rajasthani Idol Showpiece Source: Objaverse 1.0 / Sketchfab
Thermal Artifact in Patients Undergoing Conization: A Clinical Study
ClinicalTrials.gov study NCT07372248. IPD Sharing: NO. Countries: 0. Publications: 3.
The Incidence of Artifacts in the Anesthesia Information Management System Database.
ClinicalTrials.gov study NCT03814941. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Fine-scale landscape genetics of the American badger (Taxidea taxus): disentangling landscape effects and sampling artifacts in a poorly understood species
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SC20 NISQ Benchmarking Artifacts
<p>This repository contains the dataset for a NISQ benchmarking publication at SC20.</p>
Artifacts: An Efficient Approach for Reviewing Security-Related Aspects in Agile Requirements Specifications of Web Applications
<p><strong>Abstract:</strong> Defects in requirements specifications can have severe consequences during the software development lifecycle. Some of them result in time and cost overruns due to incorrect or missing quality characteristics, such as security. This characteristic requires special attention in web applications because they have become a target for manipulating sensible data. Several concerns make security difficult to deal with. For instance, (1) when stakeholders discuss general requirements they are often unaware that they should also discuss security-related aspects, because (2) they typically do not have enough expertise in security. This often leads to unspecified or ill-defined security requirements. These concerns become even more challenging in agile contexts, where lightweight documentation is typically produced. To tackle this problem, we designed an approach for reviewing security-related aspects in agile requirements specifications of web applications. Our proposal considers user stories and security specifications as inputs and relates those user stories to security properties via Natural Language Processing. Based on the related security properties, our approach identifies high-level security requirements from the Open Web Application Security Project (OWASP) to be verified, and generates a reading technique to support reviewers in detecting defects. We evaluate our approach via three experiment trials conducted with 56 novice software engineers, measuring effectiveness, efficiency, usefulness, and ease of use. We compare our approach against using: (1) the OWASP high-level security requirements, and (2) a perspective-based approach as proposed in contemporary state of the art. The results strengthen our confidence that using our approach has a positive impact (with large effect size) on the performance of inspectors in terms of effectiveness and efficiency.</p> <p>The files below contains the following data:</p> <p><strong>1) Consent form.docx</strong>: This document provides to the research subjects information to decide whether to participate in a research study or not based on an explanation of the proposed research and the nature of the participation that is requested of them.</p> <p><strong>2) Characterization_Questionnaire.docx:</strong> This document shows the questions used to characterize the working experience and knowledge of the participants of the controlled experiment. The answers obtained through this questionnaire allowed us to identify some key characteristics about three knowledge areas: Agile Software Development, Software Security and Software Inspection.</p> <p><strong>3) Experiment_Results.xlsx: </strong>This Excel document shows a summary of the results of the experiments by participant ID, trial and technique. It also synthesizes the defects found by the reviewers and the characterization, follow up and TAM questionnaire. </p> <p><strong>4) FollowUp_Questionnaire_AdHoc_Technique.docx: </strong>This document shows the questions used to acquire information about the review conducted by inspectors who used the ad hoc technique.</p> <p><strong>5) FollowUp_Questionnaire_Reading_Technique.docx: </strong>This document shows the questions used to acquire information about the review conducted by inspectors who used the proposed reading technique. </p> <p><strong>6) Repository of Keywords.docx: </strong>This document shows the keywords used by our proposed approach and that indicate some security concern. </p> <p><strong>7) Task_description_AdHoc_A.docx: </strong>This document shows textual instructions on how to follow the ad hoc review for a set of user stories. </p> <p><strong>8) Task_description_AdHoc_B.docx: </strong>This document shows textual instructions on how to follow the ad hoc review for another set of user stories.</p> <p><strong>9) Task_description_RT_A.docx: </strong>This document shows textual instructions on how to follow the proposed reading technique for a set of user stories.</p> <p><strong>10) Task_description_RT_B.docx: </strong>This document shows textual instructions on how to follow the proposed reading technique for another set of user stories.<strong> </strong></p> <p><strong>11) Training_Experiment.pptx: </strong>This document contains the material used to explain the topics involved in the experiment. It was used to train the subjects. </p>
Geochemical Analysis of Obsidian Artifacts from the Majes Valley, Arequipa Peru using Portable-XRF
<p>In 2018, geochemical analysis was conducted using portable-XRF of 303 obsidian artifacts from four archaeological sites in the Majes Valley, Arequipa Peru. The four sites correspond to the Middle Horizon period (AD 600-1000) and include Santa Rosa II, La Angostura, El Tambo, and Pakaytambo. Comparisons to geologic obsidian samples allowed for the positive identification of artifacts to their corresponding geologic source. Results indicate the use of six discrete obsidian sources from the south-central Andes. Three of the sources are found relatively close to the study area and include Alca-1, Alca-4, and Anillo. A smaller quantity of artifacts was characterized as Quispisisa, Jampatilla, and Lisahuacho found to the north of Arequipa in the neighboring departments of Ayacucho and Apurimac.</p> <p>This data is a component of the PhD dissertation entitled <em>Networks of Empire: The Role of Infrastructure in Wari State Expansion in Arequipa, Peru (AD 600-1000)</em> by David A. Reid (University of Illinois at Chicago).</p> <p>This research was conducted in collaboration with Patrick Ryan Williams at The Field Museum of Natural History and the institution’s Elemental Analysis Facility.</p> <p>Funding was provided by the National Science Foundation’s Doctoral Dissertation Research Improvement Award (#1854651).</p>
Data from: Quantitative comparison of commercial and non-commercial metal artifact reduction techniques in computed tomography
Objectives: Typical streak artifacts known as metal artifacts occur in the presence of strongly attenuating materials in computed tomography (CT). Recently, vendors have started offering metal artifact reduction (MAR) techniques. In addition, a MAR technique called the metal deletion technique (MDT) is freely available and able to reduce metal artifacts using reconstructed images. Although a comparison of the MDT to other MAR techniques exists, a comparison of commercially available MAR techniques is lacking. The aim of this study was therefore to quantify the difference in effectiveness of the currently available MAR techniques of different scanners and the MDT technique. Materials and Methods: Three vendors were asked to use their preferential CT scanner for applying their MAR techniques. The scans were performed on a Philips Brilliance ICT 256 (S1), a GE Discovery CT 750 HD (S2) and a Siemens Somatom Definition AS Open (S3). The scans were made using an anthropomorphic head and neck phantom (Kyoto Kagaku, Japan). Three amalgam dental implants were constructed and inserted between the phantom's teeth. The average absolute error (AAE) was calculated for all reconstructions in the proximity of the amalgam implants. Results: The commercial techniques reduced the AAE by 22.0±1.6%, 16.2±2.6% and 3.3±0.7% for S1 to S3 respectively. After applying the MDT to uncorrected scans of each scanner the AAE was reduced by 26.1±2.3%, 27.9±1.0% and 28.8±0.5% respectively. The difference in efficiency between the commercial techniques and the MDT was statistically significant for S2 (p=0.004) and S3 (p<0.001), but not for S1 (p=0.63). Conclusions: The effectiveness of MAR differs between vendors. S1 performed slightly better than S2 and both performed better than S3. Furthermore, for our phantom and outcome measure the MDT was more effective than the commercial MAR technique on all scanners.
Data from: Suppression of overlearning in independent component analysis used for removal of muscular artifacts from electroencephalographic records
This paper addresses the overlearning problem in the independent component analysis (ICA) used for the removal of muscular artifacts from electroencephalographic (EEG) records. We note that for short EEG records with high number of channels the ICA fails to separate artifact-free EEG and muscular artifacts, which has been previously attributed to the phenomenon called overlearning. We address this problem by projecting an EEG record into several subspaces with a lower dimension, and perform the ICA on each subspace separately. Due to a reduced dimension of the subspaces, the overlearning is suppressed, and muscular artifacts are better separated. Once the muscular artifacts are removed, the signals in the individual subspaces are combined to provide an artifact free EEG record. We show that for short signals and high number of EEG channels our approach outperforms the currently available ICA based algorithms for muscular artifact removal. The proposed technique can efficiently suppress ICA overlearning for short signal segments of high density EEG signals.
SmartDIMM_Artifact
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Reproduction Artifact for TACAS 2024 paper "Scalable Tree-based Register Automata Learning"
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Artifact for "CERT: Finding Performance Issues in Database Systems Through the Lens of Cardinality Estimation"
<p>The artifact consists of two main components:</p> <ol> <li>Code, the tool that we created and extended, and in which we implemented Cardinality Estimation Restriction Testing (CERT), to find all bugs reported in the paper.</li> <li> <p>Data, the data and reproduce documents for the key results in the paper.</p> </li> </ol>
Artifacts for the paper "Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search"
<p>This deposit contains measurement data and additional artifacts pertaining to the <a href="https://ieeexplore.ieee.org/abstract/document/10315708">Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search</a>" paper.</p> <p>Specifically, the artifacts are divided into 6 directories:</p> <ul> <li><em>0-config/ </em>contains configuration files use to generate input scene specifications (using Scenic) with various number of actors.</li> <li><em>1-data/</em> contains the generated input scene specifications for each map and actor size. It also contains additional scene specifications used for RQ3 (in the `zalaFullcrop/` subfolder).</li> <li><em>2-results/</em> contains measurement results (i.e. (1) visualizations of generated scenes and (2) corresponding scene specifications containing exact positions of each vehicle, as well as (3) measurement data) for each research question.</li> <li><em>3-figures/</em> contains figures derived from the contents of `results/` (including additional figures not included in the publication).</li> <li><em>4-TestingSemanticSegmentation/</em> contains artifacts related to the integration of the CARLA simulator and of three computer-vision components: <ul> <li><em> 0-sceneConfig/</em> contains configuration files used to generate scenes.</li> <li> <em>1-scenesWithExactCoordinates/ </em>contains (1) visualizations of generated scenes and (2) corresponding Scenic-compatible scene specifications containing exact positions of each vehicle.</li> <li> <em> 2-staticImages/</em> contains dashcam images for generated scenes and corresponding ground truth semantic segmentation, obtained through the CARLA integration.</li> <li> <em>3-predictions/</em> contains predicted semantic segmentation results (and their overlay on top of the corresponding dashcam image) obtained using three computer-vision components.</li> <li> <em>4-videos/</em> contains videos of generated scenes running with the default AV stack included in CARLA.</li> <li> <em>5-metrics</em> contains initial measurement data for the predicted semantic segmentation.</li> </ul> </li> <li><em>5-simulationVideos/</em> contains videos of two scenario-based test cases executed in simulation. The two scenarios are only differenciated by the initial scene, which impacts the outcome of test execution (collision vs. no-collision).</li> </ul> <p>All the code of the proposed <a href="https://github.com/ArenBabikian/Scenic">MHS-based scene concretization approach</a> is implemented as an extension to the <a href="https://github.com/BerkeleyLearnVerify/Scenic">Scenic</a> tool, which is available under the <a href="https://opensource.org/licenses/BSD-3-Clause">3-Clause BSD License</a>.</p>
VigIA: data and artifacts
<p>These data and artifacts support the VigIA tool and paper currently under review.</p>
BROKEN:GhOST Artifact Evaluation
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DeepInfer's artifacts
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ChaNGa Artifact
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AIGROW-artifact
<p>The artifact of AIGROW, including the code and experiment results.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.